Imperial College London
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DR. DANIEL MUNBLIT

Faculty of Medicine, Department of Infectious Disease

Visiting Reader
 
 
 
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Contact

 

daniel.munblit08 Website CV

 
 
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Location

 

Paediatric Research UnitQueen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Baruch:2022:10.1111/irv.13039,
author = {Baruch, J and Rojek, A and Kartsonaki, C and Vijayaraghavan, BKT and Gonçalves, BP and Pritchard, MG and Merson, L and Dunning, J and Hall, M and Sigfrid, L and Citarella, BW and Murthy, S and Yeabah, TO and Olliaro, P and ISARIC, Clinical Characterisation Group},
doi = {10.1111/irv.13039},
journal = {Influenza Other Respir Viruses},
pages = {1040--1050},
title = {Symptom-based case definitions for COVID-19: Time and geographical variations for detection at hospital admission among 260,000 patients.},
url = {http://dx.doi.org/10.1111/irv.13039},
volume = {16},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - INTRODUCTION: Case definitions are used to guide clinical practice, surveillance and research protocols. However, how they identify COVID-19-hospitalised patients is not fully understood. We analysed the proportion of hospitalised patients with laboratory-confirmed COVID-19, in the ISARIC prospective cohort study database, meeting widely used case definitions. METHODS: Patients were assessed using the Centers for Disease Control (CDC), European Centre for Disease Prevention and Control (ECDC), World Health Organization (WHO) and UK Health Security Agency (UKHSA) case definitions by age, region and time. Case fatality ratios (CFRs) and symptoms of those who did and who did not meet the case definitions were evaluated. Patients with incomplete data and non-laboratory-confirmed test result were excluded. RESULTS: A total of 263,218 of the patients (42%) in the ISARIC database were included. Most patients (90.4%) were from Europe and Central Asia. The proportions of patients meeting the case definitions were 56.8% (WHO), 74.4% (UKHSA), 81.6% (ECDC) and 82.3% (CDC). For each case definition, patients at the extremes of age distribution met the criteria less frequently than those aged 30 to 70 years; geographical and time variations were also observed. Estimated CFRs were similar for the patients who met the case definitions. However, when more patients did not meet the case definition, the CFR increased. CONCLUSIONS: The performance of case definitions might be different in different regions and may change over time. Similarly concerning is the fact that older patients often did not meet case definitions, risking delayed medical care. While epidemiologists must balance their analytics with field applicability, ongoing revision of case definitions is necessary to improve patient care through early diagnosis and limit potential nosocomial spread.
AU  - Baruch,J
AU  - Rojek,A
AU  - Kartsonaki,C
AU  - Vijayaraghavan,BKT
AU  - Gonçalves,BP
AU  - Pritchard,MG
AU  - Merson,L
AU  - Dunning,J
AU  - Hall,M
AU  - Sigfrid,L
AU  - Citarella,BW
AU  - Murthy,S
AU  - Yeabah,TO
AU  - Olliaro,P
AU  - ISARIC,Clinical Characterisation Group
DO  - 10.1111/irv.13039
EP  - 1050
PY  - 2022///
SP  - 1040
TI  - Symptom-based case definitions for COVID-19: Time and geographical variations for detection at hospital admission among 260,000 patients.
T2  - Influenza Other Respir Viruses
UR  - http://dx.doi.org/10.1111/irv.13039
UR  - https://www.ncbi.nlm.nih.gov/pubmed/36825252
VL  - 16
ER  -
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