Validation of the MuLBSTA Scale in Predicting the Mortality Risk of SARS-CoV-2 in the Iranian Population; A pilot study

Document Type : Original Article


1 Instructor, Faculty member of the Nursing Department, School of Nursing and Midwifery, Islamic Azad University, Birjand, Iran

2 M.Sc in Emergency Nursing, Mashhad University of Medical Sciences, Mashhad, Iran

3 Department of Biostatistics, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

4 Department of Nursing, School of Nursing and Midwifery, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran

5 Associated Professor, Department of Cardiac Surgery, Imam Reza Hospital, Mashhad University of Medical Sciences, Mashhad, Iran

6 M.Sc in Perfusion Technology, Department of Extra-Corporeal Circulation (ECC), Razavi Hospital, Mashhad, Iran ‎


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.


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