Abstract

Several commonly used scoring systems (SOFA, SAPS II, LODS, and SIRS) are currently lacking large sample data to confirm the predictive value of 30-day mortality from sepsis, and their clinical net benefits of predicting mortality are still inconclusive. The baseline data, LODS score, SAPS II score, SIRS score, SOFA score, and 30-day prognosis of patients who met the diagnostic criteria of sepsis were retrieved from the Medical Information Mart for Intensive Care III (MIMIC-III) intensive care unit (ICU) database. Receiver operating characteristic (ROC) curves and comparisons between the areas under the ROC curves (AUC) were conducted. Decision curve analysis (DCA) was performed to determine the net benefits between the four scoring systems and 30-day mortality of sepsis. For all cases in the cohort study, the AUC of LODS, SAPS II, SIRS, SOFA were 0.733, 0.787, 0.597, and 0.688, respectively. The differences between the scoring systems were statistically significant (all P-values < 0.0001), and stratified analyses (the elderly and non-elderly) also showed the superiority of SAPS II among the four systems. According to the DCA, the net benefit ranges in descending order were SAPS II, LODS, SOFA, and SIRS. For stratified analyses of the elderly or non-elderly groups, the results also showed that SAPS II had the most net benefit. Among the four commonly used scoring systems, the SAPS II score has the highest predictive value for 30-day mortality from sepsis, which is better than LODS, SIRS, and SOFA. The results of the DCA curves show that using the SAPS II score to predict the 30-day mortality of intensive care patients with sepsis to guide clinical applications may obtain the highest net benefit.

Highlights

  • Several commonly used scoring systems (SOFA, SAPS II, Logistic Organ Dysfunction System (LODS), and systemic inflammatory response syndrome (SIRS)) are currently lacking large sample data to confirm the predictive value of 30-day mortality from sepsis, and their clinical net benefits of predicting mortality are still inconclusive

  • This study intends to explore the association between the four scoring systems (SOFA, SAPS II, LODS, and SIRS) and 30-day mortality of sepsis based on the MIMICIII (Medical Information Mart for Intensive Care III) intensive care unit (ICU) database, to determine which scoring system could better predict 30-day mortality of sepsis and septic shock from the beginning of ICU admission

  • Variables with a P-value of < 0.1 in univariate regression analysis were recruited into the multivariate regression analysis, and the results showed that age, septic shock, coronary atherosclerotic heart disease, and chronic pulmonary disease were all independent risk factors for 30-day mortality; Of the four scoring systems, SAPS II and SIRS were independent risk factors for 30-day mortality (OR: 1.061, 95%: 1.051–1.071, P < 0.001; OR: 1.264, 95%: 1.155–1.383, P < 0.001), while LODS and Sequential Organ Failure Assessment (SOFA) were not correlated with the mortality (OR: 1.041, 95%: 0.992–1.092, P = 0.105; OR: 1.016, 95%: 0.981–1.052, P = 0.373) (Table 5)

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Summary

Introduction

Several commonly used scoring systems (SOFA, SAPS II, LODS, and SIRS) are currently lacking large sample data to confirm the predictive value of 30-day mortality from sepsis, and their clinical net benefits of predicting mortality are still inconclusive. Among the four commonly used scoring systems, the SAPS II score has the highest predictive value for 30-day mortality from sepsis, which is better than LODS, SIRS, and SOFA. The results of the DCA curves show that using the SAPS II score to predict the 30-day mortality of intensive care patients with sepsis to guide clinical applications may obtain the highest net benefit. This study intends to explore the association between the four scoring systems (SOFA, SAPS II, LODS, and SIRS) and 30-day mortality of sepsis based on the MIMICIII (Medical Information Mart for Intensive Care III) ICU database, to determine which scoring system could better predict 30-day mortality of sepsis and septic shock from the beginning of ICU admission. We expect to discuss the net benefits between the scoring systems and 30-day mortality of sepsis through the decision curve analysis (DCA), a suitable method for evaluating alternative diagnostic and prognostic s­ trategies[10]

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