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

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
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.
Language:
English
Published:
Razavi International Journal of Medicine, Volume:11 Issue: 3, Summer 2023
Pages:
30 to 34
https://magiran.com/p2610009  
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