Volume 6, Issue 3 (10-2024)
Tabari Biomed Stu Res J 2024, 6(3): 60-73 |
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Daneshian M, Montazami M, Babaei A, Pahnabi A, Najafzadeh A, Abdollahi A, et al . Comparison of SOFA and qSOFA in Predicting In-Hospital Mortality among COVID-19 Patients. Tabari Biomed Stu Res J 2024; 6 (3) :60-73
URL: http://tbsrj.mazums.ac.ir/article-1-3859-en.html
URL: http://tbsrj.mazums.ac.ir/article-1-3859-en.html
Maryam Daneshian1 
, Maryam Montazami1 , Anahita Babaei1 , Ali Pahnabi2 , Arezou Najafzadeh3 , Amirsaleh Abdollahi3 , Mehran Frouzanian3 , Hooshang Akbari * 
4
, Maryam Montazami1 , Anahita Babaei1 , Ali Pahnabi2 , Arezou Najafzadeh3 , Amirsaleh Abdollahi3 , Mehran Frouzanian3 , Hooshang Akbari * 4
1- Department of Anesthesiology, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
2- Department of Operation Room, Mazandaran University of Medical Sciences, Sari, Iran
3- Student Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
4- Department of Anesthesiology, Operating Room and Emergencies, School of Allied Medical Sciences, Mazandaran University of Medical Sciences, Sari, Iran
2- Department of Operation Room, Mazandaran University of Medical Sciences, Sari, Iran
3- Student Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
4- Department of Anesthesiology, Operating Room and Emergencies, School of Allied Medical Sciences, Mazandaran University of Medical Sciences, Sari, Iran
Abstract:
| Introduction: In late December 2019, a novel pneumonia case emerged in Wuhan, China, which was later identified by the WHO as COVID-19. Evaluating disease severity at the time of admission is crucial in reducing COVID-19 mortality. This study examines the effectiveness of the SOFA and qSOFA tools in predicting hospital mortality among ICU COVID-19 patients. Material and Methods: This comparative-descriptive study examined 205 severe and critical COVID-19 patients in the ICU. Data on demographics, clinical characteristics, and lab findings at admission were collected to calculate SOFA and qSOFA scores, correlated with in-hospital outcomes (survival or death). Analysis was conducted using SPSS software, with predictive accuracy assessed via ROC curve analysis. Results: Factors such as age ≥ 65, diabetes, hypertension, cardiovascular, cerebrovascular, and pulmonary diseases, elevated creatinine and bilirubin levels, reduced PaO2 levels, tachypnea, tachycardia, decreased SPO2 levels, increasing FiO2, high SOFA score, and qSOFA were significant in predicting mortality (P<0.05). The qSOFA score had an area under the curve of 0.983 (95% CI: 0.968-0.998), outperforming SOFA (95% CI: 0.885-0.959). SOFA did not significantly predict outcomes in the presence of other variables (P>0.05), whereas qSOFA did (P<0.05). Conclusion: Both SOFA and qSOFA effectively predicted COVID-19 outcomes, but qSOFA was superior in predicting mortality. Given its simplicity and suitability for routine use, qSOFA is more practical for everyday clinical application. |
Keywords: COVID-19, SOFA, qSOFA, Mortality, Sequential organ failure assessment, Quick sequential organ failure assessment
Type of Study: Research (Original) |
Subject:
Intensive Care Medicine
Published: 2024/10/19 | ePublished: 2024/10/19
Published: 2024/10/19 | ePublished: 2024/10/19
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