Lora McGlade

TOPLINE: 

Virtual yoga classes significantly reduced chronic low back pain intensity and improved back-related function in health system employees. Improvements were sustained at 24 weeks, with reduced pain medication use and better sleep quality.

METHODOLOGY:

• A single-blinded, 24-week, 2-arm, randomized clinical trial was conducted from May 3, 2022, through May 23, 2023, comparing live-streamed yoga classes with a wait-list control among adults with chronic low back pain.
• A total of 140 participants aged 18-64 years with chronic low back pain were recruited from the Cleveland Clinic Employee Health Plan.
• Inclusion criteria included a mean low back pain intensity score of at least 4 on an 11-point numerical rating scale and daily back pain interference about half or more of the days.
• The intervention consisted of 12 consecutive weekly, 60-minute, virtual, live-streamed hatha yoga group classes.

Coprimary outcomes were mean pain intensity in the previous week on the 11-point numerical rating scale and back-related function as assessed using the 23-point modified Roland Morris Disability Questionnaire at 12 weeks.

TAKEAWAY:

• Participants in the virtual yoga group showed greater reductions in mean pain intensity at 12 weeks (mean change, –1.5 points; P < .001) and 24 weeks (mean change, –2.3 points; P < .001) compared to the wait-list control group.
• Back-related function improved significantly in the virtual yoga group at 12 weeks (mean change, –2.8 points; P < .001) and 24 weeks (mean change, –4.6 points; P < .001), compared with the control group.
• Virtual yoga participants reported 21.2 percentage points less use of any analgesic medication during the past week at 24 weeks, compared with the control group.
• Sleep quality improved more in the virtual yoga group at 12 weeks (mean change, 0.4 points; P = .008) and 24 weeks (mean change, 0.4 points; P = .005), compared with the control group.

IN PRACTICE:

“Given the demonstrated noninferiority of yoga to physical therapy, structured virtual yoga programs and physical therapy are reasonable choices for patients with [chronic low back pain] depending on accessibility, cost, and patient preference. These findings support the call by the National Academy of Medicine for increased evidenced-based pain treatments that can be disseminated via technology-based platforms,” wrote the authors of the study.

SOURCE:

The study was led by Hallie Tankha, PhD, Cleveland Clinic in Ohio. It was published online on November 1, 2024, in JAMA Network Open.

LIMITATIONS: 

The study had a low adherence rate, with only 36.6% of participants attending at least 50% of the yoga classes. There was also a higher rate of missing data in the yoga group compared to the control group. The study did not include a longer-term follow-up assessment beyond 24 weeks.

DISCLOSURES:

This study was supported by grants from Cleveland Clinic Healthcare Delivery and Implementation Science Center. One coauthor disclosed receiving personal fees from the Blue Cross Blue Shield Association. Eric Roseen, DC, PhD, reported receiving grants from the National Institutes of Health National Center for Complementary and Integrative Health. One coauthor disclosed receiving personal fees from UpToDate and grants from NCCIH related to yoga and tai chi for treatment of pain. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE: 

Virtual yoga classes significantly reduced chronic low back pain intensity and improved back-related function in health system employees. Improvements were sustained at 24 weeks, with reduced pain medication use and better sleep quality.

METHODOLOGY:

• A single-blinded, 24-week, 2-arm, randomized clinical trial was conducted from May 3, 2022, through May 23, 2023, comparing live-streamed yoga classes with a wait-list control among adults with chronic low back pain.
• A total of 140 participants aged 18-64 years with chronic low back pain were recruited from the Cleveland Clinic Employee Health Plan.
• Inclusion criteria included a mean low back pain intensity score of at least 4 on an 11-point numerical rating scale and daily back pain interference about half or more of the days.
• The intervention consisted of 12 consecutive weekly, 60-minute, virtual, live-streamed hatha yoga group classes.

Coprimary outcomes were mean pain intensity in the previous week on the 11-point numerical rating scale and back-related function as assessed using the 23-point modified Roland Morris Disability Questionnaire at 12 weeks.

TAKEAWAY:

• Participants in the virtual yoga group showed greater reductions in mean pain intensity at 12 weeks (mean change, –1.5 points; P < .001) and 24 weeks (mean change, –2.3 points; P < .001) compared to the wait-list control group.
• Back-related function improved significantly in the virtual yoga group at 12 weeks (mean change, –2.8 points; P < .001) and 24 weeks (mean change, –4.6 points; P < .001), compared with the control group.
• Virtual yoga participants reported 21.2 percentage points less use of any analgesic medication during the past week at 24 weeks, compared with the control group.
• Sleep quality improved more in the virtual yoga group at 12 weeks (mean change, 0.4 points; P = .008) and 24 weeks (mean change, 0.4 points; P = .005), compared with the control group.

IN PRACTICE:

“Given the demonstrated noninferiority of yoga to physical therapy, structured virtual yoga programs and physical therapy are reasonable choices for patients with [chronic low back pain] depending on accessibility, cost, and patient preference. These findings support the call by the National Academy of Medicine for increased evidenced-based pain treatments that can be disseminated via technology-based platforms,” wrote the authors of the study.

SOURCE:

The study was led by Hallie Tankha, PhD, Cleveland Clinic in Ohio. It was published online on November 1, 2024, in JAMA Network Open.

LIMITATIONS: 

The study had a low adherence rate, with only 36.6% of participants attending at least 50% of the yoga classes. There was also a higher rate of missing data in the yoga group compared to the control group. The study did not include a longer-term follow-up assessment beyond 24 weeks.

DISCLOSURES:

This study was supported by grants from Cleveland Clinic Healthcare Delivery and Implementation Science Center. One coauthor disclosed receiving personal fees from the Blue Cross Blue Shield Association. Eric Roseen, DC, PhD, reported receiving grants from the National Institutes of Health National Center for Complementary and Integrative Health. One coauthor disclosed receiving personal fees from UpToDate and grants from NCCIH related to yoga and tai chi for treatment of pain. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE: 

Virtual yoga classes significantly reduced chronic low back pain intensity and improved back-related function in health system employees. Improvements were sustained at 24 weeks, with reduced pain medication use and better sleep quality.

METHODOLOGY:

• A single-blinded, 24-week, 2-arm, randomized clinical trial was conducted from May 3, 2022, through May 23, 2023, comparing live-streamed yoga classes with a wait-list control among adults with chronic low back pain.
• A total of 140 participants aged 18-64 years with chronic low back pain were recruited from the Cleveland Clinic Employee Health Plan.
• Inclusion criteria included a mean low back pain intensity score of at least 4 on an 11-point numerical rating scale and daily back pain interference about half or more of the days.
• The intervention consisted of 12 consecutive weekly, 60-minute, virtual, live-streamed hatha yoga group classes.

Coprimary outcomes were mean pain intensity in the previous week on the 11-point numerical rating scale and back-related function as assessed using the 23-point modified Roland Morris Disability Questionnaire at 12 weeks.

TAKEAWAY:

• Participants in the virtual yoga group showed greater reductions in mean pain intensity at 12 weeks (mean change, –1.5 points; P < .001) and 24 weeks (mean change, –2.3 points; P < .001) compared to the wait-list control group.
• Back-related function improved significantly in the virtual yoga group at 12 weeks (mean change, –2.8 points; P < .001) and 24 weeks (mean change, –4.6 points; P < .001), compared with the control group.
• Virtual yoga participants reported 21.2 percentage points less use of any analgesic medication during the past week at 24 weeks, compared with the control group.
• Sleep quality improved more in the virtual yoga group at 12 weeks (mean change, 0.4 points; P = .008) and 24 weeks (mean change, 0.4 points; P = .005), compared with the control group.

IN PRACTICE:

“Given the demonstrated noninferiority of yoga to physical therapy, structured virtual yoga programs and physical therapy are reasonable choices for patients with [chronic low back pain] depending on accessibility, cost, and patient preference. These findings support the call by the National Academy of Medicine for increased evidenced-based pain treatments that can be disseminated via technology-based platforms,” wrote the authors of the study.

SOURCE:

The study was led by Hallie Tankha, PhD, Cleveland Clinic in Ohio. It was published online on November 1, 2024, in JAMA Network Open.

LIMITATIONS: 

The study had a low adherence rate, with only 36.6% of participants attending at least 50% of the yoga classes. There was also a higher rate of missing data in the yoga group compared to the control group. The study did not include a longer-term follow-up assessment beyond 24 weeks.

DISCLOSURES:

This study was supported by grants from Cleveland Clinic Healthcare Delivery and Implementation Science Center. One coauthor disclosed receiving personal fees from the Blue Cross Blue Shield Association. Eric Roseen, DC, PhD, reported receiving grants from the National Institutes of Health National Center for Complementary and Integrative Health. One coauthor disclosed receiving personal fees from UpToDate and grants from NCCIH related to yoga and tai chi for treatment of pain. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE:

Mepivacaine instillation significantly reduced pain during intrauterine device (IUD) placement in nulliparous women. More than 90% of women in the intervention group reported tolerable pain compared with 80% of those in the placebo group.

METHODOLOGY:

• A multicenter, double-blind, randomized, placebo-controlled trial was conducted in 12 centers in Sweden, which involved 151 nulliparous women aged 18-31 years.
• Participants were randomly assigned to receive either 10 mL of 20 mg/mL mepivacaine or 10 mL of 0.9 mg/mL sodium chloride (placebo) through a hydrosonography catheter 2 minutes before IUD placement.
• Pain scores were measured using a 100-mm visual analog scale (VAS) at baseline, after instillation, during IUD placement, and 10 minutes post placement.
• The primary outcome was the difference in VAS pain scores during IUD placement between the intervention and placebo groups.

TAKEAWAY:

• Mepivacaine instillation resulted in a statistically significant reduction in mean VAS pain scores during IUD placement, with a mean difference of 13.3 mm (95% CI, 5.75-20.87; P < .001).
• After adjusting for provider impact, the mean VAS pain score difference remained significant at 12.2 mm (95% CI, 4.85-19.62; P < .001).
• A higher proportion of women in the mepivacaine group reported tolerable pain during IUD placement (93.3%) than the placebo group (80.3%; P = .021).
• No serious adverse effects were associated with mepivacaine instillation, and there were no cases of uterine perforation in either group.

IN PRACTICE:

“We argue that the pain reduction in our study is clinically important as a greater proportion of women in our intervention group, compared to the placebo group, reported tolerable pain during placement and to a higher extent rated the placement as easier than expected and expressed a willingness to choose IUD as contraception again,” the authors of the study wrote.

SOURCE:

This study was led by Niklas Envall, PhD; Karin Elgemark, MD; and Helena Kopp Kallner, MD, PhD, at the Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet in Stockholm, Sweden. It was published online in American Journal of Obstetrics & Gynecology.

LIMITATIONS:

This study’s limitations included the exclusive focus on one type of IUD (LNG-IUS 52 mg, 4.4 mm), which may limit generalizability to other IUD types. Additionally, only experienced providers participated, which may not reflect settings with less experienced providers. Factors such as anticipated pain and patient anxiety were not systematically assessed, potentially influencing pain perception.

DISCLOSURES:

Envall received personal fees from Bayer for educational activities and honorarium from Medsphere Corp USA for expert opinions on long-acting reversible contraception. Kallner received honoraria for consultancy work and lectures from multiple pharmaceutical companies, including AbbVie, Actavis, Bayer, and others. The study was funded by the Swedish Research Council. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Mepivacaine instillation significantly reduced pain during intrauterine device (IUD) placement in nulliparous women. More than 90% of women in the intervention group reported tolerable pain compared with 80% of those in the placebo group.

METHODOLOGY:

• A multicenter, double-blind, randomized, placebo-controlled trial was conducted in 12 centers in Sweden, which involved 151 nulliparous women aged 18-31 years.
• Participants were randomly assigned to receive either 10 mL of 20 mg/mL mepivacaine or 10 mL of 0.9 mg/mL sodium chloride (placebo) through a hydrosonography catheter 2 minutes before IUD placement.
• Pain scores were measured using a 100-mm visual analog scale (VAS) at baseline, after instillation, during IUD placement, and 10 minutes post placement.
• The primary outcome was the difference in VAS pain scores during IUD placement between the intervention and placebo groups.

TAKEAWAY:

• Mepivacaine instillation resulted in a statistically significant reduction in mean VAS pain scores during IUD placement, with a mean difference of 13.3 mm (95% CI, 5.75-20.87; P < .001).
• After adjusting for provider impact, the mean VAS pain score difference remained significant at 12.2 mm (95% CI, 4.85-19.62; P < .001).
• A higher proportion of women in the mepivacaine group reported tolerable pain during IUD placement (93.3%) than the placebo group (80.3%; P = .021).
• No serious adverse effects were associated with mepivacaine instillation, and there were no cases of uterine perforation in either group.

IN PRACTICE:

“We argue that the pain reduction in our study is clinically important as a greater proportion of women in our intervention group, compared to the placebo group, reported tolerable pain during placement and to a higher extent rated the placement as easier than expected and expressed a willingness to choose IUD as contraception again,” the authors of the study wrote.

SOURCE:

This study was led by Niklas Envall, PhD; Karin Elgemark, MD; and Helena Kopp Kallner, MD, PhD, at the Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet in Stockholm, Sweden. It was published online in American Journal of Obstetrics & Gynecology.

LIMITATIONS:

This study’s limitations included the exclusive focus on one type of IUD (LNG-IUS 52 mg, 4.4 mm), which may limit generalizability to other IUD types. Additionally, only experienced providers participated, which may not reflect settings with less experienced providers. Factors such as anticipated pain and patient anxiety were not systematically assessed, potentially influencing pain perception.

DISCLOSURES:

Envall received personal fees from Bayer for educational activities and honorarium from Medsphere Corp USA for expert opinions on long-acting reversible contraception. Kallner received honoraria for consultancy work and lectures from multiple pharmaceutical companies, including AbbVie, Actavis, Bayer, and others. The study was funded by the Swedish Research Council. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Mepivacaine instillation significantly reduced pain during intrauterine device (IUD) placement in nulliparous women. More than 90% of women in the intervention group reported tolerable pain compared with 80% of those in the placebo group.

METHODOLOGY:

• A multicenter, double-blind, randomized, placebo-controlled trial was conducted in 12 centers in Sweden, which involved 151 nulliparous women aged 18-31 years.
• Participants were randomly assigned to receive either 10 mL of 20 mg/mL mepivacaine or 10 mL of 0.9 mg/mL sodium chloride (placebo) through a hydrosonography catheter 2 minutes before IUD placement.
• Pain scores were measured using a 100-mm visual analog scale (VAS) at baseline, after instillation, during IUD placement, and 10 minutes post placement.
• The primary outcome was the difference in VAS pain scores during IUD placement between the intervention and placebo groups.

TAKEAWAY:

• Mepivacaine instillation resulted in a statistically significant reduction in mean VAS pain scores during IUD placement, with a mean difference of 13.3 mm (95% CI, 5.75-20.87; P < .001).
• After adjusting for provider impact, the mean VAS pain score difference remained significant at 12.2 mm (95% CI, 4.85-19.62; P < .001).
• A higher proportion of women in the mepivacaine group reported tolerable pain during IUD placement (93.3%) than the placebo group (80.3%; P = .021).
• No serious adverse effects were associated with mepivacaine instillation, and there were no cases of uterine perforation in either group.

IN PRACTICE:

“We argue that the pain reduction in our study is clinically important as a greater proportion of women in our intervention group, compared to the placebo group, reported tolerable pain during placement and to a higher extent rated the placement as easier than expected and expressed a willingness to choose IUD as contraception again,” the authors of the study wrote.

SOURCE:

This study was led by Niklas Envall, PhD; Karin Elgemark, MD; and Helena Kopp Kallner, MD, PhD, at the Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet in Stockholm, Sweden. It was published online in American Journal of Obstetrics & Gynecology.

LIMITATIONS:

This study’s limitations included the exclusive focus on one type of IUD (LNG-IUS 52 mg, 4.4 mm), which may limit generalizability to other IUD types. Additionally, only experienced providers participated, which may not reflect settings with less experienced providers. Factors such as anticipated pain and patient anxiety were not systematically assessed, potentially influencing pain perception.

DISCLOSURES:

Envall received personal fees from Bayer for educational activities and honorarium from Medsphere Corp USA for expert opinions on long-acting reversible contraception. Kallner received honoraria for consultancy work and lectures from multiple pharmaceutical companies, including AbbVie, Actavis, Bayer, and others. The study was funded by the Swedish Research Council. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Individuals using contraceptive pills, patches, and rings must frequently interact with the healthcare system for continued use. More than half of US contraceptive users prefer alternative sources over traditional in-person care. Only 35.6% of respondents selected in-person care as their most preferred source.

METHODOLOGY:

• Researchers conducted a cross-sectional nationally representative survey in the United States in 2022 through NORC’s AmeriSpeak panel.
• A total of 3059 eligible panelists, aged 15-44 years, completed the survey, with 595 individuals currently using a pill, patch, or ring contraceptive included in the analysis.
• Primary outcomes measured were the use of any preferred source and the most preferred source when obtaining contraception.
• Sources included in-person care, telehealth, pharmacist-prescribed, online service, and over the counter.
• Data were analyzed from January 25, 2023, to August 15, 2024.

TAKEAWAY:

• Only 35.6% of respondents selected in-person care as their most preferred source of contraception.
• Only 49.7% of respondents obtained their method from a preferred source, while 39.8% received it from their most preferred source.
• Respondents who previously reported being unable to get their method on time had higher odds of preferring an alternative source (adjusted odds ratio [AOR], 2.57; 95% CI, 1.36-4.87).
• Those who recently received person-centered contraceptive counseling had lower odds of preferring an alternative source (AOR, 0.59; 95% CI, 0.35-0.98).

IN PRACTICE:

“The low level of preference for in-person care suggests that expanding contraceptive sources outside of traditional healthcare settings has a role in ameliorating barriers to access and can promote reproductive autonomy,” wrote the authors of the study.

SOURCE:

The study was led by Anu Manchikanti Gómez, PhD, Sexual Health and Reproductive Equity Program, School of Social Welfare, University of California, Berkeley. It was published online in JAMA Network Open.

LIMITATIONS:

The study’s cross-sectional design limited the ability to establish causality. The sample was limited to individuals aged 15-44 years, which may not represent all contraceptive users. Self-reported data may be subject to recall bias. The study did not distinguish between synchronous and asynchronous telehealth preferences.

DISCLOSURES:

The study was supported by Arnold Ventures. Gómez disclosed receiving personal fees from various organizations outside the submitted work. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Individuals using contraceptive pills, patches, and rings must frequently interact with the healthcare system for continued use. More than half of US contraceptive users prefer alternative sources over traditional in-person care. Only 35.6% of respondents selected in-person care as their most preferred source.

METHODOLOGY:

• Researchers conducted a cross-sectional nationally representative survey in the United States in 2022 through NORC’s AmeriSpeak panel.
• A total of 3059 eligible panelists, aged 15-44 years, completed the survey, with 595 individuals currently using a pill, patch, or ring contraceptive included in the analysis.
• Primary outcomes measured were the use of any preferred source and the most preferred source when obtaining contraception.
• Sources included in-person care, telehealth, pharmacist-prescribed, online service, and over the counter.
• Data were analyzed from January 25, 2023, to August 15, 2024.

TAKEAWAY:

• Only 35.6% of respondents selected in-person care as their most preferred source of contraception.
• Only 49.7% of respondents obtained their method from a preferred source, while 39.8% received it from their most preferred source.
• Respondents who previously reported being unable to get their method on time had higher odds of preferring an alternative source (adjusted odds ratio [AOR], 2.57; 95% CI, 1.36-4.87).
• Those who recently received person-centered contraceptive counseling had lower odds of preferring an alternative source (AOR, 0.59; 95% CI, 0.35-0.98).

IN PRACTICE:

“The low level of preference for in-person care suggests that expanding contraceptive sources outside of traditional healthcare settings has a role in ameliorating barriers to access and can promote reproductive autonomy,” wrote the authors of the study.

SOURCE:

The study was led by Anu Manchikanti Gómez, PhD, Sexual Health and Reproductive Equity Program, School of Social Welfare, University of California, Berkeley. It was published online in JAMA Network Open.

LIMITATIONS:

The study’s cross-sectional design limited the ability to establish causality. The sample was limited to individuals aged 15-44 years, which may not represent all contraceptive users. Self-reported data may be subject to recall bias. The study did not distinguish between synchronous and asynchronous telehealth preferences.

DISCLOSURES:

The study was supported by Arnold Ventures. Gómez disclosed receiving personal fees from various organizations outside the submitted work. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Individuals using contraceptive pills, patches, and rings must frequently interact with the healthcare system for continued use. More than half of US contraceptive users prefer alternative sources over traditional in-person care. Only 35.6% of respondents selected in-person care as their most preferred source.

METHODOLOGY:

• Researchers conducted a cross-sectional nationally representative survey in the United States in 2022 through NORC’s AmeriSpeak panel.
• A total of 3059 eligible panelists, aged 15-44 years, completed the survey, with 595 individuals currently using a pill, patch, or ring contraceptive included in the analysis.
• Primary outcomes measured were the use of any preferred source and the most preferred source when obtaining contraception.
• Sources included in-person care, telehealth, pharmacist-prescribed, online service, and over the counter.
• Data were analyzed from January 25, 2023, to August 15, 2024.

TAKEAWAY:

• Only 35.6% of respondents selected in-person care as their most preferred source of contraception.
• Only 49.7% of respondents obtained their method from a preferred source, while 39.8% received it from their most preferred source.
• Respondents who previously reported being unable to get their method on time had higher odds of preferring an alternative source (adjusted odds ratio [AOR], 2.57; 95% CI, 1.36-4.87).
• Those who recently received person-centered contraceptive counseling had lower odds of preferring an alternative source (AOR, 0.59; 95% CI, 0.35-0.98).

IN PRACTICE:

“The low level of preference for in-person care suggests that expanding contraceptive sources outside of traditional healthcare settings has a role in ameliorating barriers to access and can promote reproductive autonomy,” wrote the authors of the study.

SOURCE:

The study was led by Anu Manchikanti Gómez, PhD, Sexual Health and Reproductive Equity Program, School of Social Welfare, University of California, Berkeley. It was published online in JAMA Network Open.

LIMITATIONS:

The study’s cross-sectional design limited the ability to establish causality. The sample was limited to individuals aged 15-44 years, which may not represent all contraceptive users. Self-reported data may be subject to recall bias. The study did not distinguish between synchronous and asynchronous telehealth preferences.

DISCLOSURES:

The study was supported by Arnold Ventures. Gómez disclosed receiving personal fees from various organizations outside the submitted work. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Higher doses of vitamin D3 supplementation did not significantly reduce cardiac biomarkers in older adults with low serum vitamin D levels. The STURDY trial found no significant differences in high-sensitivity cardiac troponin I (hs-cTnI) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) between low- and high-dose groups.

METHODOLOGY:

• A total of 688 participants aged 70 years or older with low serum 25-hydroxy vitamin D levels (10-29 ng/mL) were included in the STURDY trial.
• Participants were randomized to receive one of four doses of vitamin D3 supplementation: 200, 1000, 2000, or 4000 IU/d, with 200 IU/d as the reference dose.
• Cardiac biomarkers, including hs-cTnI and NT-proBNP, were measured at baseline, 3 months, 12 months, and 24 months.
• The trial was conducted at two community-based research institutions in the United States between July 2015 and March 2019.
• The effects of vitamin D3 dose on biomarkers were assessed via mixed-effects tobit models, with participants followed up to 24 months or until study termination.

TAKEAWAY:

• Higher doses of vitamin D3 supplementation did not significantly affect hs-cTnI levels compared with the low-dose group (1.6% difference; 95% CI, −5.3 to 8.9).
• No significant differences were observed in NT-proBNP levels between the high-dose and low-dose groups (−1.8% difference; 95% CI, −9.3 to 6.3).
• Both hs-cTnI and NT-proBNP levels increased in both low- and high-dose groups over time, with hs-cTnI increasing by 5.2% and 7.0%, respectively, and NT-proBNP increasing by 11.3% and 9.3%, respectively.
• The findings suggest that higher doses of vitamin D3 supplementation do not reduce markers of subclinical cardiovascular disease in older adults with low serum vitamin D levels.

IN PRACTICE:

“We can speculate that the systemic effects of vitamin D deficiency are more profound among the very old, and there may be an inverse relationship between supplementation and inflammation. It is also possible that serum vitamin D level is a risk marker but not a risk factor for CVD risk and related underlying mechanisms,” wrote the authors of the study.

SOURCE:

The study was led by Katharine W. Rainer, MD, Beth Israel Deaconess Medical Center in Boston. It was published online in the Journal of the American College of Cardiology.

LIMITATIONS:

The study’s community-based population may limit the generalizability of the findings to populations at higher risk for cardiovascular disease. Additionally, the baseline cardiac biomarkers were lower than those in some high-risk populations, which may affect the precision of the assay performance. The study may not have had adequate power for cross-sectional and subgroup analyses. Both groups received some vitamin D3 supplementation, making it difficult to determine the impact of lower-dose supplementation vs no supplementation.

DISCLOSURES:

The study was supported by grants from the National Institute on Aging, the Office of Dietary Supplements, the Mid-Atlantic Nutrition Obesity Research Center, and the Johns Hopkins Institute for Clinical and Translational Research. Rainer disclosed receiving grants from these organizations.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Higher doses of vitamin D3 supplementation did not significantly reduce cardiac biomarkers in older adults with low serum vitamin D levels. The STURDY trial found no significant differences in high-sensitivity cardiac troponin I (hs-cTnI) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) between low- and high-dose groups.

METHODOLOGY:

• A total of 688 participants aged 70 years or older with low serum 25-hydroxy vitamin D levels (10-29 ng/mL) were included in the STURDY trial.
• Participants were randomized to receive one of four doses of vitamin D3 supplementation: 200, 1000, 2000, or 4000 IU/d, with 200 IU/d as the reference dose.
• Cardiac biomarkers, including hs-cTnI and NT-proBNP, were measured at baseline, 3 months, 12 months, and 24 months.
• The trial was conducted at two community-based research institutions in the United States between July 2015 and March 2019.
• The effects of vitamin D3 dose on biomarkers were assessed via mixed-effects tobit models, with participants followed up to 24 months or until study termination.

TAKEAWAY:

• Higher doses of vitamin D3 supplementation did not significantly affect hs-cTnI levels compared with the low-dose group (1.6% difference; 95% CI, −5.3 to 8.9).
• No significant differences were observed in NT-proBNP levels between the high-dose and low-dose groups (−1.8% difference; 95% CI, −9.3 to 6.3).
• Both hs-cTnI and NT-proBNP levels increased in both low- and high-dose groups over time, with hs-cTnI increasing by 5.2% and 7.0%, respectively, and NT-proBNP increasing by 11.3% and 9.3%, respectively.
• The findings suggest that higher doses of vitamin D3 supplementation do not reduce markers of subclinical cardiovascular disease in older adults with low serum vitamin D levels.

IN PRACTICE:

“We can speculate that the systemic effects of vitamin D deficiency are more profound among the very old, and there may be an inverse relationship between supplementation and inflammation. It is also possible that serum vitamin D level is a risk marker but not a risk factor for CVD risk and related underlying mechanisms,” wrote the authors of the study.

SOURCE:

The study was led by Katharine W. Rainer, MD, Beth Israel Deaconess Medical Center in Boston. It was published online in the Journal of the American College of Cardiology.

LIMITATIONS:

The study’s community-based population may limit the generalizability of the findings to populations at higher risk for cardiovascular disease. Additionally, the baseline cardiac biomarkers were lower than those in some high-risk populations, which may affect the precision of the assay performance. The study may not have had adequate power for cross-sectional and subgroup analyses. Both groups received some vitamin D3 supplementation, making it difficult to determine the impact of lower-dose supplementation vs no supplementation.

DISCLOSURES:

The study was supported by grants from the National Institute on Aging, the Office of Dietary Supplements, the Mid-Atlantic Nutrition Obesity Research Center, and the Johns Hopkins Institute for Clinical and Translational Research. Rainer disclosed receiving grants from these organizations.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Higher doses of vitamin D3 supplementation did not significantly reduce cardiac biomarkers in older adults with low serum vitamin D levels. The STURDY trial found no significant differences in high-sensitivity cardiac troponin I (hs-cTnI) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) between low- and high-dose groups.

METHODOLOGY:

• A total of 688 participants aged 70 years or older with low serum 25-hydroxy vitamin D levels (10-29 ng/mL) were included in the STURDY trial.
• Participants were randomized to receive one of four doses of vitamin D3 supplementation: 200, 1000, 2000, or 4000 IU/d, with 200 IU/d as the reference dose.
• Cardiac biomarkers, including hs-cTnI and NT-proBNP, were measured at baseline, 3 months, 12 months, and 24 months.
• The trial was conducted at two community-based research institutions in the United States between July 2015 and March 2019.
• The effects of vitamin D3 dose on biomarkers were assessed via mixed-effects tobit models, with participants followed up to 24 months or until study termination.

TAKEAWAY:

• Higher doses of vitamin D3 supplementation did not significantly affect hs-cTnI levels compared with the low-dose group (1.6% difference; 95% CI, −5.3 to 8.9).
• No significant differences were observed in NT-proBNP levels between the high-dose and low-dose groups (−1.8% difference; 95% CI, −9.3 to 6.3).
• Both hs-cTnI and NT-proBNP levels increased in both low- and high-dose groups over time, with hs-cTnI increasing by 5.2% and 7.0%, respectively, and NT-proBNP increasing by 11.3% and 9.3%, respectively.
• The findings suggest that higher doses of vitamin D3 supplementation do not reduce markers of subclinical cardiovascular disease in older adults with low serum vitamin D levels.

IN PRACTICE:

“We can speculate that the systemic effects of vitamin D deficiency are more profound among the very old, and there may be an inverse relationship between supplementation and inflammation. It is also possible that serum vitamin D level is a risk marker but not a risk factor for CVD risk and related underlying mechanisms,” wrote the authors of the study.

SOURCE:

The study was led by Katharine W. Rainer, MD, Beth Israel Deaconess Medical Center in Boston. It was published online in the Journal of the American College of Cardiology.

LIMITATIONS:

The study’s community-based population may limit the generalizability of the findings to populations at higher risk for cardiovascular disease. Additionally, the baseline cardiac biomarkers were lower than those in some high-risk populations, which may affect the precision of the assay performance. The study may not have had adequate power for cross-sectional and subgroup analyses. Both groups received some vitamin D3 supplementation, making it difficult to determine the impact of lower-dose supplementation vs no supplementation.

DISCLOSURES:

The study was supported by grants from the National Institute on Aging, the Office of Dietary Supplements, the Mid-Atlantic Nutrition Obesity Research Center, and the Johns Hopkins Institute for Clinical and Translational Research. Rainer disclosed receiving grants from these organizations.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Excess body fat in postmenopausal women is linked to a higher risk for breast cancer, with the Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) showing a stronger association than body mass index (BMI). Accurate body fat measures are crucial for effective cancer prevention.

METHODOLOGY:

• Researchers conducted a case-control study including 1033 breast cancer cases and 1143 postmenopausal population controls from the MCC-Spain study.
• Participants were aged 20-85 years. BMI was calculated as the ratio of weight to height squared and categorized using World Health Organization standards: < 25, 25-29.9, 30-34.9, and ≥ 35.
• CUN-BAE was calculated using a specific equation and categorized according to the estimated percentage of body fat: < 35%, 35%-39.9%, 40%-44.9%, and ≥ 45%.
• Odds ratios (ORs) were estimated with 95% CIs for both measures (BMI and CUN-BAE) for breast cancer cases using unconditional logistic regression.

TAKEAWAY:

• Excess body weight attributable to the risk for breast cancer was 23% when assessed using a BMI value > 30 and 38% when assessed using a CUN-BAE value > 40% body fat.
• Hormone receptor stratification showed that these differences in population-attributable fractions were only observed in hormone receptor–positive cases, with an estimated burden of 19.9% for BMI and 41.9% for CUN-BAE.
• The highest categories of CUN-BAE showed an increase in the risk for postmenopausal breast cancer (OR, 2.13 for body fat ≥ 45% compared with the reference category < 35%).
• No similar trend was observed for BMI, as the gradient declined after a BMI ≥ 35.

IN PRACTICE:

“The results of our study indicate that excess body fat is a significant risk factor for hormone receptor–positive breast cancer in postmenopausal women. Our findings suggest that the population impact could be underestimated when using traditional BMI estimates, and that more accurate measures of body fat, such as CUN-BAE, should be considered,” the authors of the study wrote.

SOURCE:

This study was led by Verónica Dávila-Batista, University of Las Palmas de Gran Canaria in Las Palmas de Gran Canaria, Spain. It was published online in Journal of Epidemiology and Community Health.

LIMITATIONS:

The case-control design of the study may have limited the ability to establish causal relationships. BMI was self-reported at the time of the interview for controls and 1 year before diagnosis for cancer cases, which may have introduced recall bias. The formula for CUN-BAE was calculated from a sedentary convenience sample, which may not have been representative of the general population. The small sample size of cases that did not express hormone receptors was another limitation. The study’s findings may not be generalizable to non-White populations as non-White participants were excluded.

DISCLOSURES:

Dávila-Batista disclosed receiving grants from the Carlos III Health Institute. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE:

Excess body fat in postmenopausal women is linked to a higher risk for breast cancer, with the Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) showing a stronger association than body mass index (BMI). Accurate body fat measures are crucial for effective cancer prevention.

METHODOLOGY:

• Researchers conducted a case-control study including 1033 breast cancer cases and 1143 postmenopausal population controls from the MCC-Spain study.
• Participants were aged 20-85 years. BMI was calculated as the ratio of weight to height squared and categorized using World Health Organization standards: < 25, 25-29.9, 30-34.9, and ≥ 35.
• CUN-BAE was calculated using a specific equation and categorized according to the estimated percentage of body fat: < 35%, 35%-39.9%, 40%-44.9%, and ≥ 45%.
• Odds ratios (ORs) were estimated with 95% CIs for both measures (BMI and CUN-BAE) for breast cancer cases using unconditional logistic regression.

TAKEAWAY:

• Excess body weight attributable to the risk for breast cancer was 23% when assessed using a BMI value > 30 and 38% when assessed using a CUN-BAE value > 40% body fat.
• Hormone receptor stratification showed that these differences in population-attributable fractions were only observed in hormone receptor–positive cases, with an estimated burden of 19.9% for BMI and 41.9% for CUN-BAE.
• The highest categories of CUN-BAE showed an increase in the risk for postmenopausal breast cancer (OR, 2.13 for body fat ≥ 45% compared with the reference category < 35%).
• No similar trend was observed for BMI, as the gradient declined after a BMI ≥ 35.

IN PRACTICE:

“The results of our study indicate that excess body fat is a significant risk factor for hormone receptor–positive breast cancer in postmenopausal women. Our findings suggest that the population impact could be underestimated when using traditional BMI estimates, and that more accurate measures of body fat, such as CUN-BAE, should be considered,” the authors of the study wrote.

SOURCE:

This study was led by Verónica Dávila-Batista, University of Las Palmas de Gran Canaria in Las Palmas de Gran Canaria, Spain. It was published online in Journal of Epidemiology and Community Health.

LIMITATIONS:

The case-control design of the study may have limited the ability to establish causal relationships. BMI was self-reported at the time of the interview for controls and 1 year before diagnosis for cancer cases, which may have introduced recall bias. The formula for CUN-BAE was calculated from a sedentary convenience sample, which may not have been representative of the general population. The small sample size of cases that did not express hormone receptors was another limitation. The study’s findings may not be generalizable to non-White populations as non-White participants were excluded.

DISCLOSURES:

Dávila-Batista disclosed receiving grants from the Carlos III Health Institute. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE:

Excess body fat in postmenopausal women is linked to a higher risk for breast cancer, with the Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) showing a stronger association than body mass index (BMI). Accurate body fat measures are crucial for effective cancer prevention.

METHODOLOGY:

• Researchers conducted a case-control study including 1033 breast cancer cases and 1143 postmenopausal population controls from the MCC-Spain study.
• Participants were aged 20-85 years. BMI was calculated as the ratio of weight to height squared and categorized using World Health Organization standards: < 25, 25-29.9, 30-34.9, and ≥ 35.
• CUN-BAE was calculated using a specific equation and categorized according to the estimated percentage of body fat: < 35%, 35%-39.9%, 40%-44.9%, and ≥ 45%.
• Odds ratios (ORs) were estimated with 95% CIs for both measures (BMI and CUN-BAE) for breast cancer cases using unconditional logistic regression.

TAKEAWAY:

• Excess body weight attributable to the risk for breast cancer was 23% when assessed using a BMI value > 30 and 38% when assessed using a CUN-BAE value > 40% body fat.
• Hormone receptor stratification showed that these differences in population-attributable fractions were only observed in hormone receptor–positive cases, with an estimated burden of 19.9% for BMI and 41.9% for CUN-BAE.
• The highest categories of CUN-BAE showed an increase in the risk for postmenopausal breast cancer (OR, 2.13 for body fat ≥ 45% compared with the reference category < 35%).
• No similar trend was observed for BMI, as the gradient declined after a BMI ≥ 35.

IN PRACTICE:

“The results of our study indicate that excess body fat is a significant risk factor for hormone receptor–positive breast cancer in postmenopausal women. Our findings suggest that the population impact could be underestimated when using traditional BMI estimates, and that more accurate measures of body fat, such as CUN-BAE, should be considered,” the authors of the study wrote.

SOURCE:

This study was led by Verónica Dávila-Batista, University of Las Palmas de Gran Canaria in Las Palmas de Gran Canaria, Spain. It was published online in Journal of Epidemiology and Community Health.

LIMITATIONS:

The case-control design of the study may have limited the ability to establish causal relationships. BMI was self-reported at the time of the interview for controls and 1 year before diagnosis for cancer cases, which may have introduced recall bias. The formula for CUN-BAE was calculated from a sedentary convenience sample, which may not have been representative of the general population. The small sample size of cases that did not express hormone receptors was another limitation. The study’s findings may not be generalizable to non-White populations as non-White participants were excluded.

DISCLOSURES:

Dávila-Batista disclosed receiving grants from the Carlos III Health Institute. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE:

Maternal serum folate levels during early to midpregnancy show a U-shaped association with congenital heart disease (CHD) risk in offspring. Both low and high folate levels are linked to an increased risk, with vitamin B12 deficiency and elevated homocysteine levels further exacerbating this risk.

METHODOLOGY:

• Researchers conducted a case-control study with 129 participants with CHD and 516 matched control participants from Guangdong Provincial People’s Hospital in China between 2015 and 2018.
• Maternal serum levels of folate, vitamin B12, and homocysteine were measured at around 16 weeks of gestation using a chemiluminescence microparticle immunoassay.
• CHD was confirmed using echocardiography, and the participants were matched by maternal age at a ratio of 1:4.
• Covariates included periconceptional folic acid supplementation, maternal education, occupation, parity, abortion history, pregnancy complications, and genetic polymorphisms related to folate metabolism.
• Conditional logistic regression was used to assess the associations, with adjustments for various covariates and sensitivity analyses excluding participants with missing genetic data.

TAKEAWAY:

• A U-shaped association was found between maternal serum folate levels and CHD risk in offspring, with both low and high levels linked to increased risk (P < .001).
• Low maternal folate levels were associated with an adjusted odds ratio (aOR) of 3.09 (95% CI, 1.88-5.08) for CHD risk, whereas high levels had an aOR of 1.81 (95% CI, 1.07-3.06).
• Using World Health Organization criteria, folate deficiency (< 5.9 ng/mL) had an aOR of 18.97 (95% CI, 3.87-93.11) and elevated levels (> 20 ng/mL) had an aOR of 5.71 (95% CI, 2.72-11.98) for CHD risk.
• Vitamin B12 deficiency and elevated homocysteine levels further increased the risk associated with both low and high maternal folate levels.

IN PRACTICE:

“Insufficient folate and vitamin B12 can lead to increased homocysteine levels, which is harmful to the cardiovascular system. Thus, homocysteine might act as a central mediator in the relationships between deficiencies in folate and vitamin B12 and the risk of CHD. Additionally, the role of folate extends beyond homocysteine mediation, contributing independently to placental implantation and vascular remodeling, irrespective of vitamin B12 and homocysteine levels,” the authors wrote.

SOURCE:

The study was led by Yanji Qu, PhD, and Jie Li, PhD, Global Health Research Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China. It was published online in JAMA Network Open.

LIMITATIONS:

The study’s limitations included the measurement of maternal serum folate levels at a single time point, which may not reflect preconception and early postconception periods. The study’s findings may not be generalizable to other populations as participants were recruited from a single cardiac referral center in Southern China. Additionally, the lack of dietary intake data limited the ability to account for related biases. The sample size, while relatively large for CHD research, may lack sufficient power for stratified analyses.

DISCLOSURES:

One coauthor reported receiving personal fees from Guangdong Cardiovascular Institute outside the submitted work. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Maternal serum folate levels during early to midpregnancy show a U-shaped association with congenital heart disease (CHD) risk in offspring. Both low and high folate levels are linked to an increased risk, with vitamin B12 deficiency and elevated homocysteine levels further exacerbating this risk.

METHODOLOGY:

• Researchers conducted a case-control study with 129 participants with CHD and 516 matched control participants from Guangdong Provincial People’s Hospital in China between 2015 and 2018.
• Maternal serum levels of folate, vitamin B12, and homocysteine were measured at around 16 weeks of gestation using a chemiluminescence microparticle immunoassay.
• CHD was confirmed using echocardiography, and the participants were matched by maternal age at a ratio of 1:4.
• Covariates included periconceptional folic acid supplementation, maternal education, occupation, parity, abortion history, pregnancy complications, and genetic polymorphisms related to folate metabolism.
• Conditional logistic regression was used to assess the associations, with adjustments for various covariates and sensitivity analyses excluding participants with missing genetic data.

TAKEAWAY:

• A U-shaped association was found between maternal serum folate levels and CHD risk in offspring, with both low and high levels linked to increased risk (P < .001).
• Low maternal folate levels were associated with an adjusted odds ratio (aOR) of 3.09 (95% CI, 1.88-5.08) for CHD risk, whereas high levels had an aOR of 1.81 (95% CI, 1.07-3.06).
• Using World Health Organization criteria, folate deficiency (< 5.9 ng/mL) had an aOR of 18.97 (95% CI, 3.87-93.11) and elevated levels (> 20 ng/mL) had an aOR of 5.71 (95% CI, 2.72-11.98) for CHD risk.
• Vitamin B12 deficiency and elevated homocysteine levels further increased the risk associated with both low and high maternal folate levels.

IN PRACTICE:

“Insufficient folate and vitamin B12 can lead to increased homocysteine levels, which is harmful to the cardiovascular system. Thus, homocysteine might act as a central mediator in the relationships between deficiencies in folate and vitamin B12 and the risk of CHD. Additionally, the role of folate extends beyond homocysteine mediation, contributing independently to placental implantation and vascular remodeling, irrespective of vitamin B12 and homocysteine levels,” the authors wrote.

SOURCE:

The study was led by Yanji Qu, PhD, and Jie Li, PhD, Global Health Research Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China. It was published online in JAMA Network Open.

LIMITATIONS:

The study’s limitations included the measurement of maternal serum folate levels at a single time point, which may not reflect preconception and early postconception periods. The study’s findings may not be generalizable to other populations as participants were recruited from a single cardiac referral center in Southern China. Additionally, the lack of dietary intake data limited the ability to account for related biases. The sample size, while relatively large for CHD research, may lack sufficient power for stratified analyses.

DISCLOSURES:

One coauthor reported receiving personal fees from Guangdong Cardiovascular Institute outside the submitted work. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Maternal serum folate levels during early to midpregnancy show a U-shaped association with congenital heart disease (CHD) risk in offspring. Both low and high folate levels are linked to an increased risk, with vitamin B12 deficiency and elevated homocysteine levels further exacerbating this risk.

METHODOLOGY:

• Researchers conducted a case-control study with 129 participants with CHD and 516 matched control participants from Guangdong Provincial People’s Hospital in China between 2015 and 2018.
• Maternal serum levels of folate, vitamin B12, and homocysteine were measured at around 16 weeks of gestation using a chemiluminescence microparticle immunoassay.
• CHD was confirmed using echocardiography, and the participants were matched by maternal age at a ratio of 1:4.
• Covariates included periconceptional folic acid supplementation, maternal education, occupation, parity, abortion history, pregnancy complications, and genetic polymorphisms related to folate metabolism.
• Conditional logistic regression was used to assess the associations, with adjustments for various covariates and sensitivity analyses excluding participants with missing genetic data.

TAKEAWAY:

• A U-shaped association was found between maternal serum folate levels and CHD risk in offspring, with both low and high levels linked to increased risk (P < .001).
• Low maternal folate levels were associated with an adjusted odds ratio (aOR) of 3.09 (95% CI, 1.88-5.08) for CHD risk, whereas high levels had an aOR of 1.81 (95% CI, 1.07-3.06).
• Using World Health Organization criteria, folate deficiency (< 5.9 ng/mL) had an aOR of 18.97 (95% CI, 3.87-93.11) and elevated levels (> 20 ng/mL) had an aOR of 5.71 (95% CI, 2.72-11.98) for CHD risk.
• Vitamin B12 deficiency and elevated homocysteine levels further increased the risk associated with both low and high maternal folate levels.

IN PRACTICE:

“Insufficient folate and vitamin B12 can lead to increased homocysteine levels, which is harmful to the cardiovascular system. Thus, homocysteine might act as a central mediator in the relationships between deficiencies in folate and vitamin B12 and the risk of CHD. Additionally, the role of folate extends beyond homocysteine mediation, contributing independently to placental implantation and vascular remodeling, irrespective of vitamin B12 and homocysteine levels,” the authors wrote.

SOURCE:

The study was led by Yanji Qu, PhD, and Jie Li, PhD, Global Health Research Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China. It was published online in JAMA Network Open.

LIMITATIONS:

The study’s limitations included the measurement of maternal serum folate levels at a single time point, which may not reflect preconception and early postconception periods. The study’s findings may not be generalizable to other populations as participants were recruited from a single cardiac referral center in Southern China. Additionally, the lack of dietary intake data limited the ability to account for related biases. The sample size, while relatively large for CHD research, may lack sufficient power for stratified analyses.

DISCLOSURES:

One coauthor reported receiving personal fees from Guangdong Cardiovascular Institute outside the submitted work. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Fluconazole resistance in yeast isolates from women with recurrent vulvovaginal candidiasis in Leeds, England, increased from 3.5% to 9.6% over 3 years. Non–Candida albicans yeasts also rose from 6.0% to 12.6% during the same period.

METHODOLOGY:

• Researchers conducted a retrospective data search of vaginal cultures from adult women in Leeds, England, between April 2018 and March 2021.
• A total of 5461 vaginal samples from women with clinical information indicating complicated/recurrent vulvovaginal candidiasis were included.
• Samples were processed on the WASPLAB automated platform, and species identification and antifungal susceptibility testing were performed in the Mycology Reference Centre by Matrix-assisted laser desorption ionization–time-of-flight mass spectrometry.
• Susceptibility to fluconazole was determined using disc diffusion and the Sensititre YeastOne microbroth dilution assay.
•  

TAKEAWAY:

According to the authors, the prevalence of non–C albicans yeasts increased from 6.0% in 2018-2019 to 12.6% in 2020-2021 (P = .0003).

Fluconazole-sensitive (dose-dependent) and fluconazole-resistant isolates increased from 3.5% in 2018-2019 to 9.6% in 2020-2021 (P = .0001).

Most fluconazole resistance was observed in C albicans, with other species such as Nakaseomyces glabrata and Pichia kudriavzevii also showing resistance.

The authors state that the increase in fluconazole resistance and non–C albicans yeasts may be linked to a policy change encouraging empirical treatment of vulvovaginal candidiasis in primary care.

IN PRACTICE:

“This study shows that the rates of non–Candida albicans and fluconazole-resistant C albicans have increased year on year in the 3 years studied. The exact reasons for this increase remain unclear, but it follows the introduction of restricted access to fungal cultures for the diagnosis of vulvovaginal candidiasis by those working in primary care. A clinical diagnosis, followed by empirical treatment, has been recommended instead. Consequently, we believe this policy of encouraging empirical vaginitis treatment based on nonspecific symptoms and signs needs revisiting,” the authors wrote.

SOURCE:

The study was led by Jennifer C. Ratner, Leeds Teaching Hospitals NHS Trust, England. It was published online in Sexually Transmitted Infections.

LIMITATIONS:

The study’s limitations included a potential bias introduced by the reduced number of samples received from specialist sexual health clinics during the COVID-19 pandemic. Additionally, the study could not distinguish between cases of recurrent vulvovaginal candidiasis with complete resolution of symptoms and those with persistent symptoms despite treatment.

DISCLOSURES:

One coauthor disclosed receiving fees from Pfizer for contributing to webinar presentations in 2023. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Fluconazole resistance in yeast isolates from women with recurrent vulvovaginal candidiasis in Leeds, England, increased from 3.5% to 9.6% over 3 years. Non–Candida albicans yeasts also rose from 6.0% to 12.6% during the same period.

METHODOLOGY:

• Researchers conducted a retrospective data search of vaginal cultures from adult women in Leeds, England, between April 2018 and March 2021.
• A total of 5461 vaginal samples from women with clinical information indicating complicated/recurrent vulvovaginal candidiasis were included.
• Samples were processed on the WASPLAB automated platform, and species identification and antifungal susceptibility testing were performed in the Mycology Reference Centre by Matrix-assisted laser desorption ionization–time-of-flight mass spectrometry.
• Susceptibility to fluconazole was determined using disc diffusion and the Sensititre YeastOne microbroth dilution assay.
•  

TAKEAWAY:

According to the authors, the prevalence of non–C albicans yeasts increased from 6.0% in 2018-2019 to 12.6% in 2020-2021 (P = .0003).

Fluconazole-sensitive (dose-dependent) and fluconazole-resistant isolates increased from 3.5% in 2018-2019 to 9.6% in 2020-2021 (P = .0001).

Most fluconazole resistance was observed in C albicans, with other species such as Nakaseomyces glabrata and Pichia kudriavzevii also showing resistance.

The authors state that the increase in fluconazole resistance and non–C albicans yeasts may be linked to a policy change encouraging empirical treatment of vulvovaginal candidiasis in primary care.

IN PRACTICE:

“This study shows that the rates of non–Candida albicans and fluconazole-resistant C albicans have increased year on year in the 3 years studied. The exact reasons for this increase remain unclear, but it follows the introduction of restricted access to fungal cultures for the diagnosis of vulvovaginal candidiasis by those working in primary care. A clinical diagnosis, followed by empirical treatment, has been recommended instead. Consequently, we believe this policy of encouraging empirical vaginitis treatment based on nonspecific symptoms and signs needs revisiting,” the authors wrote.

SOURCE:

The study was led by Jennifer C. Ratner, Leeds Teaching Hospitals NHS Trust, England. It was published online in Sexually Transmitted Infections.

LIMITATIONS:

The study’s limitations included a potential bias introduced by the reduced number of samples received from specialist sexual health clinics during the COVID-19 pandemic. Additionally, the study could not distinguish between cases of recurrent vulvovaginal candidiasis with complete resolution of symptoms and those with persistent symptoms despite treatment.

DISCLOSURES:

One coauthor disclosed receiving fees from Pfizer for contributing to webinar presentations in 2023. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Fluconazole resistance in yeast isolates from women with recurrent vulvovaginal candidiasis in Leeds, England, increased from 3.5% to 9.6% over 3 years. Non–Candida albicans yeasts also rose from 6.0% to 12.6% during the same period.

METHODOLOGY:

• Researchers conducted a retrospective data search of vaginal cultures from adult women in Leeds, England, between April 2018 and March 2021.
• A total of 5461 vaginal samples from women with clinical information indicating complicated/recurrent vulvovaginal candidiasis were included.
• Samples were processed on the WASPLAB automated platform, and species identification and antifungal susceptibility testing were performed in the Mycology Reference Centre by Matrix-assisted laser desorption ionization–time-of-flight mass spectrometry.
• Susceptibility to fluconazole was determined using disc diffusion and the Sensititre YeastOne microbroth dilution assay.
•  

TAKEAWAY:

According to the authors, the prevalence of non–C albicans yeasts increased from 6.0% in 2018-2019 to 12.6% in 2020-2021 (P = .0003).

Fluconazole-sensitive (dose-dependent) and fluconazole-resistant isolates increased from 3.5% in 2018-2019 to 9.6% in 2020-2021 (P = .0001).

Most fluconazole resistance was observed in C albicans, with other species such as Nakaseomyces glabrata and Pichia kudriavzevii also showing resistance.

The authors state that the increase in fluconazole resistance and non–C albicans yeasts may be linked to a policy change encouraging empirical treatment of vulvovaginal candidiasis in primary care.

IN PRACTICE:

“This study shows that the rates of non–Candida albicans and fluconazole-resistant C albicans have increased year on year in the 3 years studied. The exact reasons for this increase remain unclear, but it follows the introduction of restricted access to fungal cultures for the diagnosis of vulvovaginal candidiasis by those working in primary care. A clinical diagnosis, followed by empirical treatment, has been recommended instead. Consequently, we believe this policy of encouraging empirical vaginitis treatment based on nonspecific symptoms and signs needs revisiting,” the authors wrote.

SOURCE:

The study was led by Jennifer C. Ratner, Leeds Teaching Hospitals NHS Trust, England. It was published online in Sexually Transmitted Infections.

LIMITATIONS:

The study’s limitations included a potential bias introduced by the reduced number of samples received from specialist sexual health clinics during the COVID-19 pandemic. Additionally, the study could not distinguish between cases of recurrent vulvovaginal candidiasis with complete resolution of symptoms and those with persistent symptoms despite treatment.

DISCLOSURES:

One coauthor disclosed receiving fees from Pfizer for contributing to webinar presentations in 2023. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE: 

Women with premature ovarian insufficiency (POI) have a 2.6 times higher prevalence of severe autoimmune diseases before diagnosis and a 2- to 3-fold increased risk for these diseases after diagnosis.
 

METHODOLOGY:

• Researchers conducted a population-based registry study including 3972 women diagnosed with spontaneous POI between 1988 and 2017.
• A total of 15,708 female population controls matched by age and municipality of residence were included for comparison.
• Autoimmune disease diagnoses were evaluated from childhood until the end of 2017 using the Hospital Discharge Registry.
• Women with a history of cancer or bilateral oophorectomy were excluded from the study.

TAKEAWAY:

• Women with POI had a 2.6 times higher prevalence of severe autoimmune diseases before diagnosis compared to controls (odds ratio [OR], 2.6; 95% CI, 2.2-3.1).
• The prevalence of specific autoimmune diseases such as polyglandular autoimmune diseases (OR, 25.8; 95% CI, 9.0-74.1) and Addison disease (OR, 22.9; 95% CI, 7.9-66.1) was significantly higher in women with POI.
• The standardized incidence ratios for being diagnosed with a severe autoimmune disease after POI diagnosis was 2.8 (95% CI, 2.3-3.4) during the first 3 years, decreasing to 1.3 (95% CI, 1.1-1.6) after 12 years.
• No significant difference was found in the prevalence of diabetes type 1 and ankylosing spondylitis between women with POI and the reference cohort.

IN PRACTICE:

“The study results strengthen the hypothesis that autoimmune mechanisms play an important role in the pathogenesis of POI. Future studies should focus on the immunological mechanism of POI from preventative and curative perspectives,” wrote the authors of the study.

SOURCE:

The study was led by Susanna M. Savukoski, Oulu University Hospital in Finland. It was published online in Human Reproduction.

LIMITATIONS: 

The study included only autoimmune disorders diagnosed in specialized health care, which may underestimate the overall prevalence of autoimmune disorders in women with POI. Additionally, the study did not account for confounders such as body mass index and smoking, which are associated with the risk for autoimmune disease and POI.

DISCLOSURES:

Ms. Savukoski received grants from the Finnish Menopause Society, the Finnish Medical Foundation, and the Juho Vainio Foundation. Additional disclosures are noted in the original article. 

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE: 

Women with premature ovarian insufficiency (POI) have a 2.6 times higher prevalence of severe autoimmune diseases before diagnosis and a 2- to 3-fold increased risk for these diseases after diagnosis.
 

METHODOLOGY:

• Researchers conducted a population-based registry study including 3972 women diagnosed with spontaneous POI between 1988 and 2017.
• A total of 15,708 female population controls matched by age and municipality of residence were included for comparison.
• Autoimmune disease diagnoses were evaluated from childhood until the end of 2017 using the Hospital Discharge Registry.
• Women with a history of cancer or bilateral oophorectomy were excluded from the study.

TAKEAWAY:

• Women with POI had a 2.6 times higher prevalence of severe autoimmune diseases before diagnosis compared to controls (odds ratio [OR], 2.6; 95% CI, 2.2-3.1).
• The prevalence of specific autoimmune diseases such as polyglandular autoimmune diseases (OR, 25.8; 95% CI, 9.0-74.1) and Addison disease (OR, 22.9; 95% CI, 7.9-66.1) was significantly higher in women with POI.
• The standardized incidence ratios for being diagnosed with a severe autoimmune disease after POI diagnosis was 2.8 (95% CI, 2.3-3.4) during the first 3 years, decreasing to 1.3 (95% CI, 1.1-1.6) after 12 years.
• No significant difference was found in the prevalence of diabetes type 1 and ankylosing spondylitis between women with POI and the reference cohort.

IN PRACTICE:

“The study results strengthen the hypothesis that autoimmune mechanisms play an important role in the pathogenesis of POI. Future studies should focus on the immunological mechanism of POI from preventative and curative perspectives,” wrote the authors of the study.

SOURCE:

The study was led by Susanna M. Savukoski, Oulu University Hospital in Finland. It was published online in Human Reproduction.

LIMITATIONS: 

The study included only autoimmune disorders diagnosed in specialized health care, which may underestimate the overall prevalence of autoimmune disorders in women with POI. Additionally, the study did not account for confounders such as body mass index and smoking, which are associated with the risk for autoimmune disease and POI.

DISCLOSURES:

Ms. Savukoski received grants from the Finnish Menopause Society, the Finnish Medical Foundation, and the Juho Vainio Foundation. Additional disclosures are noted in the original article. 

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE: 

Women with premature ovarian insufficiency (POI) have a 2.6 times higher prevalence of severe autoimmune diseases before diagnosis and a 2- to 3-fold increased risk for these diseases after diagnosis.
 

METHODOLOGY:

• Researchers conducted a population-based registry study including 3972 women diagnosed with spontaneous POI between 1988 and 2017.
• A total of 15,708 female population controls matched by age and municipality of residence were included for comparison.
• Autoimmune disease diagnoses were evaluated from childhood until the end of 2017 using the Hospital Discharge Registry.
• Women with a history of cancer or bilateral oophorectomy were excluded from the study.

TAKEAWAY:

• Women with POI had a 2.6 times higher prevalence of severe autoimmune diseases before diagnosis compared to controls (odds ratio [OR], 2.6; 95% CI, 2.2-3.1).
• The prevalence of specific autoimmune diseases such as polyglandular autoimmune diseases (OR, 25.8; 95% CI, 9.0-74.1) and Addison disease (OR, 22.9; 95% CI, 7.9-66.1) was significantly higher in women with POI.
• The standardized incidence ratios for being diagnosed with a severe autoimmune disease after POI diagnosis was 2.8 (95% CI, 2.3-3.4) during the first 3 years, decreasing to 1.3 (95% CI, 1.1-1.6) after 12 years.
• No significant difference was found in the prevalence of diabetes type 1 and ankylosing spondylitis between women with POI and the reference cohort.

IN PRACTICE:

“The study results strengthen the hypothesis that autoimmune mechanisms play an important role in the pathogenesis of POI. Future studies should focus on the immunological mechanism of POI from preventative and curative perspectives,” wrote the authors of the study.

SOURCE:

The study was led by Susanna M. Savukoski, Oulu University Hospital in Finland. It was published online in Human Reproduction.

LIMITATIONS: 

The study included only autoimmune disorders diagnosed in specialized health care, which may underestimate the overall prevalence of autoimmune disorders in women with POI. Additionally, the study did not account for confounders such as body mass index and smoking, which are associated with the risk for autoimmune disease and POI.

DISCLOSURES:

Ms. Savukoski received grants from the Finnish Menopause Society, the Finnish Medical Foundation, and the Juho Vainio Foundation. Additional disclosures are noted in the original article. 

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE:

Women with hyperandrogenic polycystic ovary syndrome (PCOS) have lower pregnancy (29.9%) and live birth rates (20.1%) than those with nonhyperandrogenic PCOS (40.2% and 33.1%, respectively).

METHODOLOGY:

• Researchers conducted a retrospective cohort study of 1376 participants from the PPCOS I and II trials, all meeting National Institutes of Health diagnostic criteria for PCOS.
• Participants were categorized into hyperandrogenic (A and B) and nonhyperandrogenic (D) PCOS phenotypes on the basis of medical interviews, demographics, physical examinations, and laboratory data.
• Outcomes of interest included clinical pregnancy, pregnancy loss, live birth, obstetric complications, and neonatal outcomes.
• Fasting blood samples were analyzed for hormonal assays, and Homeostatic Model Assessment for Insulin Resistance scores were calculated using fasting glucose and insulin values.

TAKEAWAY:

• Participants with hyperandrogenic PCOS had higher body mass index (35.5 ± 8.9 vs 31.9 ± 9.3; P < .001) and fasting insulin levels (21.6 ± 27.7 vs 14.7 ± 15.0 μIU/mL; P < .001) than those with nonhyperandrogenic PCOS.
• Participants with hyperandrogenic PCOS had lower odds of achieving pregnancy (odds ratio [OR], 0.63; 95% CI, 0.44-0.92) and live birth (OR, 0.51; 95% CI, 0.34-0.76) than those with nonhyperandrogenic PCOS.
• No significant differences were found in pregnancy loss rates (23.9% vs 32.3%, P = .06) or neonatal outcomes between the two groups.
• The study lacked the power to detect differences in neonatal outcomes because of the low prevalence of these outcomes.

IN PRACTICE:

“Patients with nonhyperandrogenic PCOS may represent a different disease process with unique morbidities and outcomes and could be counseled differently than hyperandrogenic PCOS,” wrote the authors of the study.

SOURCE:

The study was led by Jessica L. Chan, MD, MSCE, Cedars-Sinai Medical Center in Los Angeles, California. It was published online in Obstetrics & Gynecology.

LIMITATIONS:

The primary limitation of this study was that it is a secondary analysis of previously collected randomized controlled trial data, which may affect the availability of certain information. Additionally, the lower number of participants in the nonhyperandrogenic PCOS group could affect the power of the results. The study was underpowered to detect statistically significant differences in neonatal outcomes because of their low prevalence.

DISCLOSURES:

The study was supported by a grant from the ASRM/NICHD/Duke Clinical Research/Reproductive Scientist Training Program. One coauthor disclosed receiving payments from Celmatix, Ferring Pharmaceuticals, Exeltis, Organon, and Monsanto; another disclosed receiving payments from Ferring Pharmaceuticals. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Women with hyperandrogenic polycystic ovary syndrome (PCOS) have lower pregnancy (29.9%) and live birth rates (20.1%) than those with nonhyperandrogenic PCOS (40.2% and 33.1%, respectively).

METHODOLOGY:

• Researchers conducted a retrospective cohort study of 1376 participants from the PPCOS I and II trials, all meeting National Institutes of Health diagnostic criteria for PCOS.
• Participants were categorized into hyperandrogenic (A and B) and nonhyperandrogenic (D) PCOS phenotypes on the basis of medical interviews, demographics, physical examinations, and laboratory data.
• Outcomes of interest included clinical pregnancy, pregnancy loss, live birth, obstetric complications, and neonatal outcomes.
• Fasting blood samples were analyzed for hormonal assays, and Homeostatic Model Assessment for Insulin Resistance scores were calculated using fasting glucose and insulin values.

TAKEAWAY:

• Participants with hyperandrogenic PCOS had higher body mass index (35.5 ± 8.9 vs 31.9 ± 9.3; P < .001) and fasting insulin levels (21.6 ± 27.7 vs 14.7 ± 15.0 μIU/mL; P < .001) than those with nonhyperandrogenic PCOS.
• Participants with hyperandrogenic PCOS had lower odds of achieving pregnancy (odds ratio [OR], 0.63; 95% CI, 0.44-0.92) and live birth (OR, 0.51; 95% CI, 0.34-0.76) than those with nonhyperandrogenic PCOS.
• No significant differences were found in pregnancy loss rates (23.9% vs 32.3%, P = .06) or neonatal outcomes between the two groups.
• The study lacked the power to detect differences in neonatal outcomes because of the low prevalence of these outcomes.

IN PRACTICE:

“Patients with nonhyperandrogenic PCOS may represent a different disease process with unique morbidities and outcomes and could be counseled differently than hyperandrogenic PCOS,” wrote the authors of the study.

SOURCE:

The study was led by Jessica L. Chan, MD, MSCE, Cedars-Sinai Medical Center in Los Angeles, California. It was published online in Obstetrics & Gynecology.

LIMITATIONS:

The primary limitation of this study was that it is a secondary analysis of previously collected randomized controlled trial data, which may affect the availability of certain information. Additionally, the lower number of participants in the nonhyperandrogenic PCOS group could affect the power of the results. The study was underpowered to detect statistically significant differences in neonatal outcomes because of their low prevalence.

DISCLOSURES:

The study was supported by a grant from the ASRM/NICHD/Duke Clinical Research/Reproductive Scientist Training Program. One coauthor disclosed receiving payments from Celmatix, Ferring Pharmaceuticals, Exeltis, Organon, and Monsanto; another disclosed receiving payments from Ferring Pharmaceuticals. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Women with hyperandrogenic polycystic ovary syndrome (PCOS) have lower pregnancy (29.9%) and live birth rates (20.1%) than those with nonhyperandrogenic PCOS (40.2% and 33.1%, respectively).

METHODOLOGY:

• Researchers conducted a retrospective cohort study of 1376 participants from the PPCOS I and II trials, all meeting National Institutes of Health diagnostic criteria for PCOS.
• Participants were categorized into hyperandrogenic (A and B) and nonhyperandrogenic (D) PCOS phenotypes on the basis of medical interviews, demographics, physical examinations, and laboratory data.
• Outcomes of interest included clinical pregnancy, pregnancy loss, live birth, obstetric complications, and neonatal outcomes.
• Fasting blood samples were analyzed for hormonal assays, and Homeostatic Model Assessment for Insulin Resistance scores were calculated using fasting glucose and insulin values.

TAKEAWAY:

• Participants with hyperandrogenic PCOS had higher body mass index (35.5 ± 8.9 vs 31.9 ± 9.3; P < .001) and fasting insulin levels (21.6 ± 27.7 vs 14.7 ± 15.0 μIU/mL; P < .001) than those with nonhyperandrogenic PCOS.
• Participants with hyperandrogenic PCOS had lower odds of achieving pregnancy (odds ratio [OR], 0.63; 95% CI, 0.44-0.92) and live birth (OR, 0.51; 95% CI, 0.34-0.76) than those with nonhyperandrogenic PCOS.
• No significant differences were found in pregnancy loss rates (23.9% vs 32.3%, P = .06) or neonatal outcomes between the two groups.
• The study lacked the power to detect differences in neonatal outcomes because of the low prevalence of these outcomes.

IN PRACTICE:

“Patients with nonhyperandrogenic PCOS may represent a different disease process with unique morbidities and outcomes and could be counseled differently than hyperandrogenic PCOS,” wrote the authors of the study.

SOURCE:

The study was led by Jessica L. Chan, MD, MSCE, Cedars-Sinai Medical Center in Los Angeles, California. It was published online in Obstetrics & Gynecology.

LIMITATIONS:

The primary limitation of this study was that it is a secondary analysis of previously collected randomized controlled trial data, which may affect the availability of certain information. Additionally, the lower number of participants in the nonhyperandrogenic PCOS group could affect the power of the results. The study was underpowered to detect statistically significant differences in neonatal outcomes because of their low prevalence.

DISCLOSURES:

The study was supported by a grant from the ASRM/NICHD/Duke Clinical Research/Reproductive Scientist Training Program. One coauthor disclosed receiving payments from Celmatix, Ferring Pharmaceuticals, Exeltis, Organon, and Monsanto; another disclosed receiving payments from Ferring Pharmaceuticals. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Higher body mass index (BMI) in both partners is linked to lower fecundability and increased subfertility. Overweight and obesity in women are associated with higher odds of miscarriage.

METHODOLOGY:

• Researchers conducted a population-based prospective cohort study in Rotterdam, the Netherlands, from August 9, 2017, to July 1, 2021.
• A total of 3604 women and their partners were included, with follow-up until birth.
• BMI was measured in preconception or early pregnancy, and outcomes included fecundability, subfertility, and miscarriage.
• Fecundability was defined as the probability of conceiving within 1 month and subfertility as time to pregnancy or duration of actively pursuing pregnancy of more than 12 months or use of assisted reproductive technology.
• Miscarriage was defined as pregnancy loss before 22 weeks of gestation.

TAKEAWAY:

• Higher BMI in women and men was associated with lower fecundability: For every unit increase in BMI, fecundability decreased (women, 0.98; 95% CI, 0.97-0.99; men, 0.99; 95% CI, 0.98-1.00).
• Women with overweight (0.88; 95% CI, 0.80-0.98) and obesity (0.72; 95% CI, 0.63-0.82) had lower fecundability than women with normal weight.
• Overweight (1.35; 95% CI, 1.11-1.63) and obesity (1.67; 95% CI, 1.30-2.13) in women were associated with increased odds of subfertility.
• Obesity in men was associated with increased odds of subfertility (1.69; 95% CI, 1.24-2.31).

IN PRACTICE:

“We observed in this cohort study that BMI outside of the normal category in women and men was associated with lower fecundability, subfertility, and increased odds of miscarriage. Optimizing BMI from the preconception period onward in women and men might be an important strategy to improve fertility and pregnancy outcomes,” wrote the authors of the study.

SOURCE:

The study was led by Aline J. Boxem, MD, and Vincent W. V. Jaddoe, MD, PhD, The Generation R Study Group, Erasmus University Medical Centre in Rotterdam, the Netherlands. It was published online in JAMA Network Open.

LIMITATIONS:

The study’s generalizability may be affected by differences between included and excluded participants, who were younger and had a higher BMI. The accuracy of time-to-pregnancy duration may have been impacted by retrospectively answered questionnaires. Residual confounding might still be an issue due to the observational nature of the study.

DISCLOSURES:

Dr. Boxem and Dr. Jaddoe disclosed receiving grants from the Erasmus University Medical Centre, the Erasmus University Rotterdam, and the Netherlands Organisation for Health Research and Development. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Higher body mass index (BMI) in both partners is linked to lower fecundability and increased subfertility. Overweight and obesity in women are associated with higher odds of miscarriage.

METHODOLOGY:

• Researchers conducted a population-based prospective cohort study in Rotterdam, the Netherlands, from August 9, 2017, to July 1, 2021.
• A total of 3604 women and their partners were included, with follow-up until birth.
• BMI was measured in preconception or early pregnancy, and outcomes included fecundability, subfertility, and miscarriage.
• Fecundability was defined as the probability of conceiving within 1 month and subfertility as time to pregnancy or duration of actively pursuing pregnancy of more than 12 months or use of assisted reproductive technology.
• Miscarriage was defined as pregnancy loss before 22 weeks of gestation.

TAKEAWAY:

• Higher BMI in women and men was associated with lower fecundability: For every unit increase in BMI, fecundability decreased (women, 0.98; 95% CI, 0.97-0.99; men, 0.99; 95% CI, 0.98-1.00).
• Women with overweight (0.88; 95% CI, 0.80-0.98) and obesity (0.72; 95% CI, 0.63-0.82) had lower fecundability than women with normal weight.
• Overweight (1.35; 95% CI, 1.11-1.63) and obesity (1.67; 95% CI, 1.30-2.13) in women were associated with increased odds of subfertility.
• Obesity in men was associated with increased odds of subfertility (1.69; 95% CI, 1.24-2.31).

IN PRACTICE:

“We observed in this cohort study that BMI outside of the normal category in women and men was associated with lower fecundability, subfertility, and increased odds of miscarriage. Optimizing BMI from the preconception period onward in women and men might be an important strategy to improve fertility and pregnancy outcomes,” wrote the authors of the study.

SOURCE:

The study was led by Aline J. Boxem, MD, and Vincent W. V. Jaddoe, MD, PhD, The Generation R Study Group, Erasmus University Medical Centre in Rotterdam, the Netherlands. It was published online in JAMA Network Open.

LIMITATIONS:

The study’s generalizability may be affected by differences between included and excluded participants, who were younger and had a higher BMI. The accuracy of time-to-pregnancy duration may have been impacted by retrospectively answered questionnaires. Residual confounding might still be an issue due to the observational nature of the study.

DISCLOSURES:

Dr. Boxem and Dr. Jaddoe disclosed receiving grants from the Erasmus University Medical Centre, the Erasmus University Rotterdam, and the Netherlands Organisation for Health Research and Development. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

TOPLINE:

Higher body mass index (BMI) in both partners is linked to lower fecundability and increased subfertility. Overweight and obesity in women are associated with higher odds of miscarriage.

METHODOLOGY:

• Researchers conducted a population-based prospective cohort study in Rotterdam, the Netherlands, from August 9, 2017, to July 1, 2021.
• A total of 3604 women and their partners were included, with follow-up until birth.
• BMI was measured in preconception or early pregnancy, and outcomes included fecundability, subfertility, and miscarriage.
• Fecundability was defined as the probability of conceiving within 1 month and subfertility as time to pregnancy or duration of actively pursuing pregnancy of more than 12 months or use of assisted reproductive technology.
• Miscarriage was defined as pregnancy loss before 22 weeks of gestation.

TAKEAWAY:

• Higher BMI in women and men was associated with lower fecundability: For every unit increase in BMI, fecundability decreased (women, 0.98; 95% CI, 0.97-0.99; men, 0.99; 95% CI, 0.98-1.00).
• Women with overweight (0.88; 95% CI, 0.80-0.98) and obesity (0.72; 95% CI, 0.63-0.82) had lower fecundability than women with normal weight.
• Overweight (1.35; 95% CI, 1.11-1.63) and obesity (1.67; 95% CI, 1.30-2.13) in women were associated with increased odds of subfertility.
• Obesity in men was associated with increased odds of subfertility (1.69; 95% CI, 1.24-2.31).

IN PRACTICE:

“We observed in this cohort study that BMI outside of the normal category in women and men was associated with lower fecundability, subfertility, and increased odds of miscarriage. Optimizing BMI from the preconception period onward in women and men might be an important strategy to improve fertility and pregnancy outcomes,” wrote the authors of the study.

SOURCE:

The study was led by Aline J. Boxem, MD, and Vincent W. V. Jaddoe, MD, PhD, The Generation R Study Group, Erasmus University Medical Centre in Rotterdam, the Netherlands. It was published online in JAMA Network Open.

LIMITATIONS:

The study’s generalizability may be affected by differences between included and excluded participants, who were younger and had a higher BMI. The accuracy of time-to-pregnancy duration may have been impacted by retrospectively answered questionnaires. Residual confounding might still be an issue due to the observational nature of the study.

DISCLOSURES:

Dr. Boxem and Dr. Jaddoe disclosed receiving grants from the Erasmus University Medical Centre, the Erasmus University Rotterdam, and the Netherlands Organisation for Health Research and Development. Additional disclosures are noted in the original article.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.