scholarly journals Comparison of the Effectiveness of Sequential Organ Failure Assessment (SOFA) and Quick Sequential Organ Failure Assessment (qSOFA) in Predicting Mortality in Secondary Non-Traumatic Peritonitis Patients

2018 ◽  
Vol 1 (1) ◽  
pp. 10-23
Author(s):  
Nurwansyah ◽  
Alsen Arlan ◽  
Irfanuddin

Introduction. Peritonitis has a high mortality rate, SOFA is a scoring system that represents 6 organ functions namely respiration, blood coagulation, liver, cardiovascular, Central Nervous System, and Kidney the higher the SOFA score the higher the possibility of mortality, qSOFA is a new scoring , practical and has a strong predictive value. Method. This study was a diagnostic study in the form of a suitability test to assess the sensitivity, specificity, PPV and NPV, cut of points and the suitability of the SOFA and qSOFA scoring systems in predicting outcomes of patients with secondary peritonitis in RSMH Palembang. Results. Data processing was performed on 27 study subjects during November 2017-June 2018. SOFA prognosis test results with a cut-off point >5 obtained a sensitivity of 84.2%, 100% specificity, PPV 73.68%, NPV 100%, prognosis test results qSOFA with a cut off point> 2 Obtained a sensitivity of 91.7%, specificity of 100%, PPV 91.66%, NPV 80%, Conclusion.The qSOFA scoring system was more efficient than SOFA in predicting mortality

2020 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Abdollah Karimi ◽  
Roxana Mansour Ghanaie ◽  
Mohammad Reza Masjedi ◽  
Seyed Alireza Fahimzad ◽  
Sedigheh Rafiei Tabatabaei ◽  
...  

Context: In the era of the SARS-CoV-2 virus pandemic, new scoring systems need to be developed to estimate the risk of COVID-19 complications aiding in the accurate prognosis. Improved scoring systems by combining multiple variables allow clinicians to optimize the allocation of limited medical resources for the best clinical outcomes. Methods: Published articles were selected that assessed the relationship between clinical, para-clinical, demographics, co-morbidities, and outcomes of COVID-19 patients in a systematic review to develop a novel scoring system. Results: In this study, by summarizing the results of 97 studies and the experiences of experts, prognostic factors were determined and divided into four groups: Age, clinical symptoms, co-morbidities, and tests. Twenty-three published articles met the selection criteria and were included in this study. Accordingly, by the opinion of experts, prognostic factors were categorized into four main groups: Age, clinical symptoms, co-morbidities, and specific test results. Conclusions: This novel scoring model helps physicians to early identify critical COVID-19 patients and optimize patient management based on recent comprehensive data of the most significant predictive factors.


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