Deriving and validating a risk prediction model for long COVID-19: protocol for an observational cohort study using linked Scottish data.

ABSTRACT:

Introduction

COVID-19 is commonly experienced as an acute illness, yet some people continue to have symptoms that persist for weeks, or months (commonly referred to as 'long-COVID'). It remains unclear which patients are at highest risk of developing long-COVID. In this protocol, we describe plans to develop a prediction model to identify individuals at risk of developing long-COVID.

Methods and analysis

We will use the national Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II) platform, a population-level linked dataset of routine electronic healthcare data from 5.4 million individuals in Scotland. We will identify potential indicators for long-COVID by identifying patterns in primary care data linked to information from out-of-hours general practiti

SUBMITTER: Daines L 

PROVIDER: S-EPMC9260199 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature