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. 2023 Aug 2;30(3):314-326.
doi: 10.3390/pathophysiology30030025.

Hemodynamic, Oxygenation and Lymphocyte Parameters Predict COVID-19 Mortality

Affiliations

Hemodynamic, Oxygenation and Lymphocyte Parameters Predict COVID-19 Mortality

Choirina Windradi et al. Pathophysiology. .

Abstract

The mortality of COVID-19 patients has left the world devastated. Many scoring systems have been developed to predict the mortality of COVID-19 patients, but several scoring components cannot be carried out in limited health facilities. Herein, the authors attempted to create a new and easy scoring system involving mean arterial pressure (MAP), PF Ratio, or SF ratio-respiration rate (SF Ratio-R), and lymphocyte absolute, which were abbreviated as MPL or MSLR functioning, as a predictive scoring system for mortality within 30 days for COVID-19 patients. Of 132 patients with COVID-19 hospitalized between March and November 2021, we followed up on 96 patients. We present bivariate and multivariate analyses as well as the area under the curve (AUC) and Kaplan-Meier charts. From 96 patients, we obtained an MPL score of 3 points: MAP < 75 mmHg, PF Ratio < 200, and lymphocyte absolute < 1500/µL, whereas the MSLR score was 6 points: MAP < 75 mmHg, SF Ratio < 200, lymphocyte absolute < 1500/µL, and respiration rate 24/min. The MPL cut-off point is 2, while the MSLR is 4. MPL and MSLR have the same sensitivity (79.1%) and specificity (75.5%). The AUC value of MPL vs. MSLR was 0.802 vs. 0.807. The MPL ≥ 2 and MSLR ≥ 4 revealed similar predictions for survival within 30 days (p < 0.05). Conclusion: MPL and MSLR scores are potential predictors of mortality in COVID-19 patients within 30 days in a resource-limited country.

Keywords: COVID-19; infectious disease; mortality; prediction; scoring.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Selection of patients.
Figure 2
Figure 2
(A) AUC MPL score to predict mortality in COVID-19 patients; (B) AUC MSLR score to predict mortality in COVID-19 patients; (C) cutoff for MPL score; (D) cutoff for MSLR score. AUC, the area under the curve; MPL, MAP, PF Ratio, and Lymphocyte absolute; MSLR, MAP, SF Ratio, Lymphocyte absolute, and Respiration rate. The blue line refers to the sensitivity, while the green line refers to the area under the curve.
Figure 2
Figure 2
(A) AUC MPL score to predict mortality in COVID-19 patients; (B) AUC MSLR score to predict mortality in COVID-19 patients; (C) cutoff for MPL score; (D) cutoff for MSLR score. AUC, the area under the curve; MPL, MAP, PF Ratio, and Lymphocyte absolute; MSLR, MAP, SF Ratio, Lymphocyte absolute, and Respiration rate. The blue line refers to the sensitivity, while the green line refers to the area under the curve.
Figure 2
Figure 2
(A) AUC MPL score to predict mortality in COVID-19 patients; (B) AUC MSLR score to predict mortality in COVID-19 patients; (C) cutoff for MPL score; (D) cutoff for MSLR score. AUC, the area under the curve; MPL, MAP, PF Ratio, and Lymphocyte absolute; MSLR, MAP, SF Ratio, Lymphocyte absolute, and Respiration rate. The blue line refers to the sensitivity, while the green line refers to the area under the curve.
Figure 3
Figure 3
(A) Survival 30-day mortality rate from MPL score; (B) survival 30-day mortality rate from MSLR score.
Figure 3
Figure 3
(A) Survival 30-day mortality rate from MPL score; (B) survival 30-day mortality rate from MSLR score.

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