Post-COVID Hair Loss in the Indian Subcontinent: Clinical Patterns and Association with Disease Severity.

INTRODUCTION

As the pandemic plateaus, post-COVID alopecia is resurfacing in India. COVID-19 remains a pivotal cause of alopecia, and the diagnosis of post-COVID alopecia aids in better treatment outcomes.

OBJECTIVES

To estimate the prevalence of post-COVID alopecia and to evaluate the association between alopecia and COVID severity among other factors.

METHODS

A retrospective cross-sectional study was conducted among patients admitted to the COVID ward. Patients willing to participate were asked to fill in a pretested semi-structured questionnaire, and the PSS-10 (Perceived Stress Scale) was used to evaluate stress. Data were analyzed using the SPSS version 24.

RESULTS

Prevalence of COVID-19-induced hair loss was 37.8%. Age, sex, COVID severity, and higher stress were the significant factors, with p-value <0.05. Female sex, COVID severity, and high stress levels came to be significant independent predictors of hair loss. A majority of participants (46.9%) noticed hair loss within three months of contracting the disease.

CONCLUSION

This study stands to be a pioneer project to investigate the prevalence of COVID-19-induced alopecia in India. The prevalence rate of 37.8% with a significant association with severity of COVID-19 highlights the importance of reviewing patient history to provide proper treatment and reassurance.