Validation of the MuLBSTA Scale in Predicting the Mortality Risk of SARS-CoV-۲ in the Iranian Population; A pilot study

سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 122

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شناسه ملی سند علمی:

JR_RIJO-11-3_005

تاریخ نمایه سازی: 19 شهریور 1402

چکیده مقاله:

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-۱۹ patients. Methods: A cross-sectional study was performed on ۹۹ COVID-۱۹ patients from December ۲۰۲۰ to February ۲۰۲۱. 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 ۲۱ at the ۰.۰۵ significance level. Results: Of the ۹۹ monitored patients, ۶۹ (۶۹.۶۹%) recovered, and ۳۰ (۳۰.۳۱%) died during the study period. The mean MuLBSTA scores of patients who recovered and died were ۱۰.۵۱±۳.۹۹ and ۱۶.۵۳±۳.۰۲, respectively. A statistically significant positive relationship was found between MuLBSTA scores and mortality (p<۰.۰۰۱). The area under the ROC curve (AUC) of MuLBSTA in predicting mortality during hospitalization was calculated to be ۰.۸۸ (۹۵%CI=۰.۸۲-۰.۹۵, SE=۱.۵۵). Conclusion: MuLBSTA scores are highly correlated with the severity of COVID-۱۹. 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-۱۹ patients.

نویسندگان

Raziyeh Barzegaran

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

Rasool Gharaee

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

Elham Shaarbaf Eidgahi

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

Mohammadreza Askari

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

Mahmood Hosseinzadeh Maleki

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

Mohsen Yaghubi

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