Comparative Analysis of qSOFA, PRIEST, PAINT, and ISARIC4C Scores in Predicting Severe COVID-19 Outcomes Among Patients Aged over 75 Years

The ISARIC4C, qSOFA, PRIEST, and PAINT scores are robust predictors of severe outcomes in elderly COVID-19 patients over 75 years old, as confirmed by Kaplan-Meier and ROC analyses. These tools can be crucial for early identification of patients at high risk of adverse outcomes, guiding clinical decision making, and optimizing resource allocation. The use of these scoring systems should be encouraged in clinical settings to enhance the management of elderly COVID-19 patients. Further research is necessary to validate these findings across different populations and settings.

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Publication Details

Journal
Diseases
Published
2024-11-28
DOI
https://doi.org/10.3390/diseases12120304
Primary Topic
COVID-19 Clinical Research Studies
Type
article
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article

Comparative Analysis of qSOFA, PRIEST, PAINT, and ISARIC4C Scores in Predicting Severe COVID-19 Outcomes Among Patients Aged over 75 Years

Mădălina Borugă, Vamsi Krishna, Adelina Maria Jianu, Claudia Raluca Bălaşa Vîrzob et al.
Diseases
COVID-19 Clinical Research Studies
article

Comparative Analysis of qSOFA, PRIEST, PAINT, and ISARIC4C Scores in Predicting Severe COVID-19 Outcomes Among Patients Aged over 75 Years

Mădălina Borugă, Vamsi Krishna, Adelina Maria Jianu, Claudia Raluca Bălaşa Vîrzob, Rodica Lighezan, Sorina Maria Denisa Laitin, Daniela Rosca, Chandramouli Chetarajupalli, Ilona Emoke Deak
article en

Abstract

The ISARIC4C, qSOFA, PRIEST, and PAINT scores are robust predictors of severe outcomes in elderly COVID-19 patients over 75 years old, as confirmed by Kaplan-Meier and ROC analyses. These tools can be crucial for early identification of patients at high risk of adverse outcomes, guiding clinical decision making, and optimizing resource allocation. The use of these scoring systems should be encouraged in clinical settings to enhance the management of elderly COVID-19 patients. Further research is necessary to validate these findings across different populations and settings.

DiseasesVol. 12(12)
Sri Devaraj Urs Medical College (IN), Zhengzhou University (CN), Victor Babeș University of Medicine and Pharmacy Timișoara (RO)
Good health and well-being
Openalex Percentile: Top 73%
COVID-19 Clinical Research Studies
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Comparative Analysis of qSOFA, PRIEST, PAINT, and ISARIC4C Scores in Predicting Severe COVID-19 Outcomes Among Patients Aged over 75 Years — Mădălina Borugă, Vamsi Krishna, et al. · Diseases (2024) | TGRS Research Map | TGRS