Endocrinology, Diabetes, and Metabolism Commons^™

Is Androgen Excess Masked In Alopecia Areata Patients: A Retrospective Data Analysis Of 1,587 Patients, G. Cheyana Ranasinghe, Melissa Piliang, Wilma Bergfeld

GW Research Days 2016 - 2020

Studies on the pathophysiology and comorbidities associated with alopecia areata (AA) are limited. The purpose of this study was to determine the prevalence of androgen excess in AA and its subtypes, in relation to demographics and comorbidities. Medical records of 1,587 Patchy AA, AT, AU, and ophiasis patients seen in the Department of Dermatology at the Cleveland Clinic Foundation in Ohio between 2005 and 2015 were reviewed. Out of this cohort, 226 patients met the inclusion criteria. There is evidence that patients with AA had significantly greater prevalence of polycystic ovary syndrome (PCOS) than the general population (p<0.001). Androgen excess was identified in 42.5% (n=96) of the 226 patients with AA or any subtype (p<0.001). The androgen excess group was significantly more likely to present with irregular menses, hirsutism, adult acne, PCOS, and/or ovarian cysts (p<0.001). This study was limited by being retrospective. Our study demonstrated that AA is associated with androgen excess.

Significance Of Epicardial And Intrathoracic Adipose Tissue Volume Among Type 1 Diabetes Patients In The Dcct/Edic: A Pilot Study., Sirous Darabian, Jye-Yu C Backlund, Patricia A Cleary, Nasim Sheidaee, Ionut Bebu, John M. Lachin, Matthew J Budoff, Dcct/Edic Research Group

GW Biostatistics Center

Introduction

Type 1 diabetes (T1DM) patients are at increased risk of coronary artery disease (CAD). This pilot study sought to evaluate the relationship between epicardial adipose tissue (EAT) and intra-thoracic adipose tissue (IAT) volumes and cardio-metabolic risk factors in T1DM.

Method

EAT/IAT volumes in 100 patients, underwent non-contrast cardiac computed tomography in the Diabetes Control and Complications Trial /Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study were measured by a certified reader. Fat was defined as pixels’ density of -30 to -190 Hounsfield Unit. The associations were assessed using–Pearson partial correlation and linear regression models adjusted for gender and age …