Symptom profiles and their risk factors in patients with post-COVID-19 condition: a Dutch longitudinal cohort study.

ABSTRACT:

Background

To improve research and care for patients with post-COVID-19 condition more insight into different subtypes of post-COVID-19 condition and their risk factors is urgently needed. We aimed to identify risk factors of post-COVID-19 condition in general and for specific symptom profiles.

Methods

This study is based on data collected within the Lifelines Coronavirus disease 2019 (COVID-19) cohort (N = 76 503). Mean pre- and post-SARS-CoV-2 infection symptom scores were compared to classify post-COVID-19 condition. Latent Profile Analysis was used to identify symptom profiles. Logistic and multinomial regression analyses were used to examine the association between demographic, lifestyle and health-related risk factors and post-COVID-19 condition, and symptom profiles,

SUBMITTER: van Zon SKR 

PROVIDER: S-EPMC10710342 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature