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. 2023 Feb 8:10:1121465.
doi: 10.3389/fmed.2023.1121465. eCollection 2023.

Outcome prediction in hospitalized COVID-19 patients: Comparison of the performance of five severity scores

Hsin-Pei Chung  1   2 , Yen-Hsiang Tang  2   3 , Chun-Yen Chen  4 , Chao-Hsien Chen  1   2 , Wen-Kuei Chang  1   2 , Kuan-Chih Kuo  1   2 , Yen-Ting Chen  1   2 , Jou-Chun Wu  1   2 , Chang-Yi Lin  1   2 , Chieh-Jen Wang  1   2
Affiliations

Outcome prediction in hospitalized COVID-19 patients: Comparison of the performance of five severity scores

Hsin-Pei Chung et al. Front Med (Lausanne). .

Abstract

Background: The aim of our study was to externally validate the predictive capability of five developed coronavirus disease 2019 (COVID-19)-specific prognostic tools, including the COVID-19 Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Shang COVID severity score, COVID-intubation risk score-neutrophil/lymphocyte ratio (IRS-NLR), inflammation-based score, and ventilation in COVID estimator (VICE) score.

Methods: The medical records of all patients hospitalized for a laboratory-confirmed COVID-19 diagnosis between May 2021 and June 2021 were retrospectively analyzed. Data were extracted within the first 24 h of admission, and five different scores were calculated. The primary and secondary outcomes were 30-day mortality and mechanical ventilation, respectively.

Results: A total of 285 patients were enrolled in our cohort. Sixty-five patients (22.8%) were intubated with ventilator support, and the 30-day mortality rate was 8.8%. The Shang COVID severity score had the highest numerical area under the receiver operator characteristic (AUC-ROC) (AUC 0.836) curve to predict 30-day mortality, followed by the SEIMC score (AUC 0.807) and VICE score (AUC 0.804). For intubation, both the VICE and COVID-IRS-NLR scores had the highest AUC (AUC 0.82) compared to the inflammation-based score (AUC 0.69). The 30-day mortality increased steadily according to higher Shang COVID severity scores and SEIMC scores. The intubation rate exceeded 50% in the patients stratified by higher VICE scores and COVID-IRS-NLR score quintiles.

Conclusion: The discriminative performances of the SEIMC score and Shang COVID severity score are good for predicting the 30-day mortality of hospitalized COVID-19 patients. The COVID-IRS-NLR and VICE showed good performance for predicting invasive mechanical ventilation (IMV).

Keywords: COVID-19; IRS-NLR score; SEIMC score; VICE score; mortality prediction.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Distribution of the SEIMC, IRS-NLR, inflammatory, Shang et al., and VICE scores by risk class in our patients. (A) The mortality rate was plotted against five score stratifications. (B) The intubation rate was plotted against five score stratifications. The correlation between each of the five scoring systems and the increase in severity. *p < 0.001; SEIMC, Spanish Society of Infectious Diseases and Clinical Microbiology; IRS-NLR, intubation risk score-neutrophil/lymphocyte ratio; VICE, ventilation in COVID estimator.
FIGURE 2
FIGURE 2
(A) The receiver-operator characteristic (ROC) curve (with AUC) for predicting mortality among patients with coronavirus disease 2019 (COVID-19) in our cohort. (B) The ROC curve for predicting mechanical ventilation requirements among patients with COVID-19 in our cohort. HR, hazard ratio; AUC, area under the curve; SEIMC, Spanish Society of Infectious Diseases and Clinical Microbiology; IRS-NLR, intubation risk score-neutrophil/lymphocyte ratio; VICE, ventilation in COVID estimator.
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