The Role of APRI, FIB-4, and SAD-60 Scores as Predictors of Mortality in COVID-19 Patients

Area of Science:

• Medical Research
• Clinical Diagnostics
• Infectious Diseases

Background:

• Disease severity predictors are crucial for managing COVID-19.
• Assessing mortality risk aids in treatment decisions for COVID-19 patients.

Purpose of the Study:

• To investigate the association between FIB-4 score, APRI, and SAD-60 score with mortality in hospitalized COVID-19 patients.
• To evaluate the predictive capabilities of these scores for in-hospital mortality.

Main Methods:

• A single-center retrospective study included 453 COVID-19 patients admitted between December 1-31, 2021.
• Patients were categorized into deceased and survived groups for comparative analysis.
• The predictive performance of FIB-4, APRI, and SAD-60 scores was assessed using ROC curve and Cox regression analyses.

Main Results:

• Higher median values of APRI, FIB-4, and SAD-60 scores were observed in deceased patients compared to survivors.
• Optimal cut-off values for mortality prediction were identified: APRI (0.58), FIB-4 (2.14), and SAD-60 (4.25).
• FIB-4 and SAD-60 emerged as independent risk factors for mortality in Cox regression analysis, even after adjusting for comorbidities.

Conclusions:

• The SAD-60 and FIB-4 scores are easily applicable tools for predicting mortality in COVID-19 patients.
• These scores can assist clinicians in risk stratification and management of COVID-19 cases.