Deriving and validating a risk prediction model for long COVID: a population-based, retrospective cohort study in Scotland.

ABSTRACT:

Objectives

Using electronic health records, we derived and internally validated a prediction model to estimate risk factors for long COVID and predict individual risk of developing long COVID.

Design

Population-based, retrospective cohort study.

Setting

Scotland.

Participants

Adults (≥18 years) with a positive COVID-19 test, registered with a general medical practice between 1 March 2020 and 20 October 2022.

Main outcome measures

Adjusted odds ratios (aORs) with 95% confidence intervals (CIs) for predictors of long COVID, and patients' predicted probabilities of developing long COVID.

Results

A total of 68,486 (5.6%) patients were identified as having long COVID. Predictors of long COVID were increasing age (aOR: 3.84; 95% CI: 3.66-4.03 and aOR: 3

SUBMITTER: Jeffrey K 

PROVIDER: S-EPMC11574934 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature