Literature DB >> 34045645

The association between four scoring systems and 30-day mortality among intensive care patients with sepsis: a cohort study.

Tianyang Hu1, Huajie Lv2, Youfan Jiang3.   

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.

Entities:  

Year:  2021        PMID: 34045645     DOI: 10.1038/s41598-021-90806-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  17 in total

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Journal:  Expert Rev Anti Infect Ther       Date:  2016-01-14       Impact factor: 5.091

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Journal:  JAMA       Date:  2016-02-23       Impact factor: 56.272

4.  Assessment of Clinical Criteria for Sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).

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Journal:  JAMA       Date:  2016-02-23       Impact factor: 56.272

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Journal:  JAMA       Date:  2014-07-02       Impact factor: 56.272

7.  Predictive value of SAPS II and APACHE II scoring systems for patient outcome in a medical intensive care unit.

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Journal:  Acta Med Acad       Date:  2016-11

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Journal:  JAMA       Date:  1996-09-11       Impact factor: 56.272

9.  A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study.

Authors:  J R Le Gall; S Lemeshow; F Saulnier
Journal:  JAMA       Date:  1993 Dec 22-29       Impact factor: 56.272

10.  MIMIC-III, a freely accessible critical care database.

Authors:  Alistair E W Johnson; Tom J Pollard; Lu Shen; Li-Wei H Lehman; Mengling Feng; Mohammad Ghassemi; Benjamin Moody; Peter Szolovits; Leo Anthony Celi; Roger G Mark
Journal:  Sci Data       Date:  2016-05-24       Impact factor: 6.444

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  4 in total

1.  Triglyceride-glucose index linked to all-cause mortality in critically ill patients: a cohort of 3026 patients.

Authors:  Ying Liao; Rongting Zhang; Shanshan Shi; Yukun Zhao; Yibo He; Lihua Liao; Xueqin Lin; Qian Guo; Yani Wang; Liling Chen; Weiguo Li; Shihai Li; Kaihong Chen; Yong Fang
Journal:  Cardiovasc Diabetol       Date:  2022-07-08       Impact factor: 8.949

2.  Development and validation of a predictive model for in-hospital mortality in patients with sepsis-associated liver injury.

Authors:  Yousheng Liu; Run Sun; Haiyan Jiang; Guiwen Liang; Zhongwei Huang; Lei Qi; Juying Lu
Journal:  Ann Transl Med       Date:  2022-09

3.  Establishment of ICU Mortality Risk Prediction Models with Machine Learning Algorithm Using MIMIC-IV Database.

Authors:  Ke Pang; Liang Li; Wen Ouyang; Xing Liu; Yongzhong Tang
Journal:  Diagnostics (Basel)       Date:  2022-04-24

4.  Performance of Sequential Organ Failure Assessment and Simplified Acute Physiology Score II for Post-Cardiac Surgery Patients in Intensive Care Unit.

Authors:  Fei Xu; Weina Li; Cheng Zhang; Rong Cao
Journal:  Front Cardiovasc Med       Date:  2021-12-06
  4 in total

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