TOPLINE:
Adolescent girls with polycystic ovary syndrome (PCOS) have an increased risk for hypertension, according to a new study which underscores the importance of blood pressure surveillance in this population.
METHODOLOGY:
- The retrospective cohort study examined the association between PCOS and hypertension in adolescent girls within a diverse community-based US healthcare population.
- The researchers analyzed data from 224,418 adolescent girls (mean age at index visit, 14.9 years; 15.8% classified as having obesity) who had a well-child visit between 2013 and 2019, during which their systolic blood pressure and diastolic blood pressure were measured.
- Blood pressure in the hypertensive range was classified using the 2017 American Academy of Pediatrics Practice Guideline, with thresholds of 130/80 mm Hg or greater.
TAKEAWAY:
- The proportion of adolescent girls with high blood pressure was significantly greater among those with PCOS than among those without the condition (18.2% vs 7.1%; P < .001).
- Adolescent girls with PCOS had a 25% higher risk for hypertension than those without the disorder (adjusted odds ratio [aOR], 1.25; 95% CI, 1.10-1.42).
- Similarly, adolescent girls with obesity and PCOS had a 23% higher risk for high blood pressure than those without PCOS (aOR, 1.23; 95% CI, 1.06-1.42).
IN PRACTICE:
“The high prevalence of [hypertension] associated with PCOS emphasizes the key role of early [blood pressure] monitoring in this high-risk group,” the authors of the study wrote.
SOURCE:
The study was led by Sherry Zhang, MD, Kaiser Permanente Oakland Medical Center, Oakland, California, and was published online in the American Journal of Preventive Medicine.
LIMITATIONS:
The study relied on coded diagnoses of PCOS from clinical settings, which may have led to detection and referral biases. The findings may not be generalizable to an unselected population in which adolescent girls are systematically screened for both PCOS and hypertension.
DISCLOSURES:
This study was funded by the Cardiovascular and Metabolic Conditions Research Section and the Biostatistical Consulting Unit at the Division of Research, Kaiser Permanente Northern California and by the Kaiser Permanente Northern California Community Health Program. The authors declared having no conflicts of interest.
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.