SARS-CoV-2 rapid antigen testing in the healthcare sector: A clinical prediction model for identifying false negative results.

ABSTRACT:

Objectives

SARS-CoV-2 rapid antigen tests (RAT) provide fast identification of infectious patients when RT-PCR results are not immediately available. We aimed to develop a prediction model for identification of false negative (FN) RAT results.

Methods

In this multicenter trial, patients with documented paired results of RAT and RT-PCR between October 1^st 2020 and January 31^st 2021 were retrospectively analyzed regarding clinical findings. Variables included demographics, laboratory values and specific symptoms. Three different models were evaluated using Bayesian logistic regression.

Results

The initial dataset contained 4,076 patients. Overall sensitivity and specificity of RAT was 62.3% and 97.6%. 2,997 cases with negative RAT results (FN: 120;

SUBMITTER: Leiner J 

PROVIDER: S-EPMC8431843 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature