validation of the mulbsta scale in predicting the mortality risk of sars-cov-2 in the iranian population; a pilot study

Background: mulbsta is a scale designed for easy clinical assessment of the mortality risk of viral pneumonia patients. objectives: the overall purpose of conducting this research is to investigate the effectiveness of mulbsta in estimating the mortality risk of covid-19 patients. methods: a cross-sectional study was performed on 99 covid-19 patients from december 2020 to february 2021. the mulbsta scores of patients were calculated, and their survival and risk rates were estimated by the kaplan-meier method. the roc diagram was used for the logistic model assessment to determine the best mortality prediction cut-off point. data were analyzed in spss version 21 at the 0.05 significance level. results: of the 99 monitored patients, 69 (69.69%) recovered, and 30 (30.31%) died during the study period. the mean mulbsta scores of patients who recovered and died were 10.51±3.99 and 16.53±3.02, respectively. a statistically significant positive relationship was found between mulbsta scores and mortality (p<0.001). the area under the roc curve (auc) of mulbsta in predicting mortality during hospitalization was calculated to be 0.88 (95%ci=0.82-0.95, se=1.55). conclusion: mulbsta scores are highly correlated with the severity of covid-19. therefore, mulbsta can serve as a tool for rapid situation assessment and swift decision-making about the treatment approach and the allocation of hospital resources to covid-19 patients.