Exploring factors influencing COVID-19 severity: a matched case-control study.

Area of Science:

• Epidemiology
• Infectious Diseases
• Public Health

Background:

• COVID-19 (Coronavirus Disease 2019) poses a significant global health challenge.
• Data on COVID-19 severity in pregnant women is limited.
• Understanding risk factors is crucial for epidemic preparedness.

Purpose of the Study:

• To evaluate factors influencing COVID-19 severity in hospitalized women.
• To identify predictors of moderate-to-severe illness in a female patient cohort.
• To inform strategies for managing future epidemics.

Main Methods:

• Retrospective matched case-control study.
• Inclusion of 130 female patients hospitalized with COVID-19 (65 severe/moderate, 65 mild).
• Univariate and multivariable conditional logistic regression analysis.

Main Results:

• Key predictors of severe COVID-19 included comorbidities (OR=7.8), age over 30, urban residence, lack of insurance, and non-pregnancy.
• Comorbidities were the strongest predictor of severe disease.
• Pregnancy status was also a significant factor.

Conclusions:

• Age, urban residency, insurance status, comorbidities, and pregnancy influence COVID-19 severity in women.
• Comorbidities represent the most significant risk factor for severe illness.
• Findings emphasize the need for targeted interventions for vulnerable women.