Early Prediction of Septic Shock in Severe COVID-19 Patients: Development and Validation of a Nomogram Model

We developed and validated a diagnostic nomogram model for septic shock in critically ill COVID-19 patients, incorporating four parameters: SOFA score, albumin, mean arterial pressure, and lactate. This model demonstrates significant potential in predicting septic shock among critically ill COVID-19 patients.

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Publication Details

Journal
Infection and Drug Resistance
Published
2026-02-01
DOI
https://doi.org/10.2147/idr.s575280
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Early Prediction of Septic Shock in Severe COVID-19 Patients: Development and Validation of a Nomogram Model

Junbao Ma, Mingfeng Lu, W Zhou, Yinbing Jin
Infection and Drug Resistance
Sepsis Diagnosis and Treatment
article

Early Prediction of Septic Shock in Severe COVID-19 Patients: Development and Validation of a Nomogram Model

Junbao Ma, Mingfeng Lu, W Zhou, Yinbing Jin
article en

Abstract

We developed and validated a diagnostic nomogram model for septic shock in critically ill COVID-19 patients, incorporating four parameters: SOFA score, albumin, mean arterial pressure, and lactate. This model demonstrates significant potential in predicting septic shock among critically ill COVID-19 patients.

Infection and Drug ResistanceVol. Volume 19
Xuzhou Medical College (CN), Northern Jiangsu People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 57%
Sepsis Diagnosis and Treatment
DOIOpen Access PDFOpenAlex
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