Unknown

Dataset Information

Increased COVID-19 infections in women with polycystic ovary syndrome: a population-based study.


ABSTRACT:

Objective

Several recent observational studies have linked metabolic comorbidities to an increased risk from COVID-19. Here we investigated whether women with PCOS are at an increased risk of COVID-19 infection.

Design

Population-based closed cohort study between 31 January 2020 and 22 July 2020 in the setting of a UK primary care database (The Health Improvement Network, THIN).

Methods

The main outcome was the incidence of COVID-19 coded as suspected or confirmed by the primary care provider. We used Cox proportional hazards regression model with stepwise inclusion of explanatory variables (age, BMI, impaired glucose regulation, androgen excess, anovulation, vitamin D deficiency, hypertension, and cardiovascular disease) to provide unadjusted and adjusted hazard risk

SUBMITTER: Subramanian A 

PROVIDER: S-EPMC8052516 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature