Clinical prediction models for diagnosis of COVID-19 among adult patients: a validation and agreement study.

ABSTRACT:

Background

Since the beginning of the pandemic, hospitals have been constantly overcrowded, with several observed waves of infected cases and hospitalisations. To avoid as much as possible this situation, efficient tools to facilitate the diagnosis of COVID-19 are needed.

Objective

To evaluate and compare prediction models to diagnose COVID-19 identified in a systematic review published recently using performance indicators such as discrimination and calibration measures.

Methods

A total of 1618 adult patients present at two Emergency Department triage centers and for whom qRT-PCR tests had been performed were included in this study. Six previously published models were reconstructed and assessed using diagnostic tests as sensitivity (Se) and negative predictive value

SUBMITTER: Dardenne N 

PROVIDER: S-EPMC9107295 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature