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TOPLINE:

The metabolically unhealthy obesity phenotype, with its multiple comorbidities, may be the most practical group of people with obesity to screen for Cushing syndrome rather than all patients with obesity.

METHODOLOGY:

  • Obesity is a key clinical feature of Cushing syndrome and shares many overlapping characteristics. An ongoing debate continues about the need to screen patients with obesity for the rare endocrine disease, but phenotypes known as metabolically healthy or unhealthy obesity may help better define an at-risk population.
  • To assess the prevalence of Cushing syndrome by metabolic health status, researchers conducted a retrospective study of 1008 patients with obesity (mean age, 40 years; 83% women; body mass index ≥ 30) seen at an endocrinology outpatient clinic in Turkey between December 2020 and June 2022.
  • They screened patients for Cushing syndrome with an overnight dexamethasone suppression test (1 mg DST), an oral dexamethasone dose given at 11 PM followed by a fasting blood sample for cortisol measurement the next morning. A serum cortisol level < 1.8 mcg/dL indicated normal suppression.
  • Patients were categorized into those with metabolically healthy obesity (n = 229) or metabolically unhealthy obesity (n = 779) based on the absence or presence of comorbidities such as diabetes, prediabetes, coronary artery disease, hypertension, or dyslipidemia.

TAKEAWAY:

  • The overall prevalence of Cushing syndrome in the study cohort was 0.2%, with only two patients definitively diagnosed after more tests and the remaining 10 classified as having subclinical hypercortisolism.
  • Cortisol levels following the 1 mg DST were higher in the metabolically unhealthy obesity group than in the metabolically healthy obesity group (P = .001).
  • Among the 12 patients with unsuppressed levels of cortisol, 11 belonged to the metabolically unhealthy obesity group, indicating a strong association between metabolic health and the levels of cortisol.
  • The test demonstrated a specificity of 99% and sensitivity of 100% for screening Cushing syndrome in patients with obesity.

IN PRACTICE:

“Screening all patients with obesity for CS [Cushing syndrome] without considering any associated metabolic conditions appears impractical and unnecessary in everyday clinical practice,” the authors wrote. “However, it may be more reasonable and applicable to selectively screen the patients with obesity having comorbidities such as DM [diabetes mellitus], hypertension, dyslipidemia, or coronary artery disease, which lead to a metabolically unhealthy phenotype, rather than all individuals with obesity,” they added.

SOURCE:

The study, led by Sema Hepsen, Ankara Etlik City Hospital, Department of Endocrinology and Metabolism, Ankara, Turkey, was published online in the International Journal of Obesity.

LIMITATIONS:

The single-center design of the study and inclusion of patients from a single racial group may limit the generalizability of the findings. The retrospective design prevented the retrieval of all relevant data on clinical features and fat distribution.

DISCLOSURES:

The study was supported by an open access funding provided by the Scientific and Technological Research Council of Türkiye. The authors declared 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.

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TOPLINE:

The metabolically unhealthy obesity phenotype, with its multiple comorbidities, may be the most practical group of people with obesity to screen for Cushing syndrome rather than all patients with obesity.

METHODOLOGY:

  • Obesity is a key clinical feature of Cushing syndrome and shares many overlapping characteristics. An ongoing debate continues about the need to screen patients with obesity for the rare endocrine disease, but phenotypes known as metabolically healthy or unhealthy obesity may help better define an at-risk population.
  • To assess the prevalence of Cushing syndrome by metabolic health status, researchers conducted a retrospective study of 1008 patients with obesity (mean age, 40 years; 83% women; body mass index ≥ 30) seen at an endocrinology outpatient clinic in Turkey between December 2020 and June 2022.
  • They screened patients for Cushing syndrome with an overnight dexamethasone suppression test (1 mg DST), an oral dexamethasone dose given at 11 PM followed by a fasting blood sample for cortisol measurement the next morning. A serum cortisol level < 1.8 mcg/dL indicated normal suppression.
  • Patients were categorized into those with metabolically healthy obesity (n = 229) or metabolically unhealthy obesity (n = 779) based on the absence or presence of comorbidities such as diabetes, prediabetes, coronary artery disease, hypertension, or dyslipidemia.

TAKEAWAY:

  • The overall prevalence of Cushing syndrome in the study cohort was 0.2%, with only two patients definitively diagnosed after more tests and the remaining 10 classified as having subclinical hypercortisolism.
  • Cortisol levels following the 1 mg DST were higher in the metabolically unhealthy obesity group than in the metabolically healthy obesity group (P = .001).
  • Among the 12 patients with unsuppressed levels of cortisol, 11 belonged to the metabolically unhealthy obesity group, indicating a strong association between metabolic health and the levels of cortisol.
  • The test demonstrated a specificity of 99% and sensitivity of 100% for screening Cushing syndrome in patients with obesity.

IN PRACTICE:

“Screening all patients with obesity for CS [Cushing syndrome] without considering any associated metabolic conditions appears impractical and unnecessary in everyday clinical practice,” the authors wrote. “However, it may be more reasonable and applicable to selectively screen the patients with obesity having comorbidities such as DM [diabetes mellitus], hypertension, dyslipidemia, or coronary artery disease, which lead to a metabolically unhealthy phenotype, rather than all individuals with obesity,” they added.

SOURCE:

The study, led by Sema Hepsen, Ankara Etlik City Hospital, Department of Endocrinology and Metabolism, Ankara, Turkey, was published online in the International Journal of Obesity.

LIMITATIONS:

The single-center design of the study and inclusion of patients from a single racial group may limit the generalizability of the findings. The retrospective design prevented the retrieval of all relevant data on clinical features and fat distribution.

DISCLOSURES:

The study was supported by an open access funding provided by the Scientific and Technological Research Council of Türkiye. The authors declared 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.

 

TOPLINE:

The metabolically unhealthy obesity phenotype, with its multiple comorbidities, may be the most practical group of people with obesity to screen for Cushing syndrome rather than all patients with obesity.

METHODOLOGY:

  • Obesity is a key clinical feature of Cushing syndrome and shares many overlapping characteristics. An ongoing debate continues about the need to screen patients with obesity for the rare endocrine disease, but phenotypes known as metabolically healthy or unhealthy obesity may help better define an at-risk population.
  • To assess the prevalence of Cushing syndrome by metabolic health status, researchers conducted a retrospective study of 1008 patients with obesity (mean age, 40 years; 83% women; body mass index ≥ 30) seen at an endocrinology outpatient clinic in Turkey between December 2020 and June 2022.
  • They screened patients for Cushing syndrome with an overnight dexamethasone suppression test (1 mg DST), an oral dexamethasone dose given at 11 PM followed by a fasting blood sample for cortisol measurement the next morning. A serum cortisol level < 1.8 mcg/dL indicated normal suppression.
  • Patients were categorized into those with metabolically healthy obesity (n = 229) or metabolically unhealthy obesity (n = 779) based on the absence or presence of comorbidities such as diabetes, prediabetes, coronary artery disease, hypertension, or dyslipidemia.

TAKEAWAY:

  • The overall prevalence of Cushing syndrome in the study cohort was 0.2%, with only two patients definitively diagnosed after more tests and the remaining 10 classified as having subclinical hypercortisolism.
  • Cortisol levels following the 1 mg DST were higher in the metabolically unhealthy obesity group than in the metabolically healthy obesity group (P = .001).
  • Among the 12 patients with unsuppressed levels of cortisol, 11 belonged to the metabolically unhealthy obesity group, indicating a strong association between metabolic health and the levels of cortisol.
  • The test demonstrated a specificity of 99% and sensitivity of 100% for screening Cushing syndrome in patients with obesity.

IN PRACTICE:

“Screening all patients with obesity for CS [Cushing syndrome] without considering any associated metabolic conditions appears impractical and unnecessary in everyday clinical practice,” the authors wrote. “However, it may be more reasonable and applicable to selectively screen the patients with obesity having comorbidities such as DM [diabetes mellitus], hypertension, dyslipidemia, or coronary artery disease, which lead to a metabolically unhealthy phenotype, rather than all individuals with obesity,” they added.

SOURCE:

The study, led by Sema Hepsen, Ankara Etlik City Hospital, Department of Endocrinology and Metabolism, Ankara, Turkey, was published online in the International Journal of Obesity.

LIMITATIONS:

The single-center design of the study and inclusion of patients from a single racial group may limit the generalizability of the findings. The retrospective design prevented the retrieval of all relevant data on clinical features and fat distribution.

DISCLOSURES:

The study was supported by an open access funding provided by the Scientific and Technological Research Council of Türkiye. The authors declared 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.

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