Evaluation of risk scores as predictors of mortality and hospital length of stay for older COVID-19 patients.

No Thumbnail Available
Buyukaydin, Banu
Karaaslan, Tahsin
Uysal, Omer
Journal Title
Journal ISSN
Volume Title
Research Projects
Organizational Units
Journal Issue


Search on Google Scholar

Objective: This study was intended to research the sensitivity of the Charlson Comorbidity Index (CCI), COVID-GRAM, and MuLBSTA risk scores for hospital length of stay (LOS) and mortality in older patients hospitalized with coronavirus disease 2019 (COVID-19). Methods: A total of 217 patients (119 women) were included in the study. The first clinical signs, comorbidities, laboratory and radiology findings, and hospital LOS were recorded for each patient. The CCI, COVID-GRAM, and MuLBSTA risk scores were calculated, and their sensitivities for hospital LOS and mortality were evaluated using receiver operating characteristic (ROC) curve analysis. Results: Of the hospitalized patients, 59 (27.2%) were followed in the intensive care unit, and mortality developed in 44 (20.3%). The CCI positively correlated with COVID-GRAM and MuLBSTA scores (P < 0.001). COVID-GRAM and MuLBSTA results correlated with LOS and mortality (P < 0.001). According to the ROC curve analysis, the cutoff points for mortality were 5 for CCI, 169 for COVID-GRAM, and 9 for MuLBSTA. Conclusion: Older patients with comorbidities are the major risk group for severe COVID-19. COVID-GRAM and MuLBSTA scores appear to be sensitive and reliable mortality indicators for these patients.
COVID‐19, COVID‐GRAM score, Charlson comorbidity index, MuLBTSA score, hospital length of stay, mortality, older patients
Page Views


File Downloads


Sustainable Development Goals