Annals of Translational Medicine · 2020 · 26 citations · 19 references
MedicineInternal MedicineClinical EpidemiologyCritical Care MedicineSepsisClinical Recognition Of SepsisIntensive Care MedicineSepsis DiagnosisSepsis ManagementSepsis PrognosisClinical Criteria For SepsisIn-hospital MortalityIntensive Care Unit MortalityMortality Rate AssessmentRisk Prediction ScoresRisk Scoring ToolsRisk Stratification ToolsSepsis Predictors
BACKGROUND: The rising prevalence of early therapy for sepsis has led to the demand for rapid risk-stratification tools that can estimate the risk of in-hospital mortality for sepsis patients and the need for intensive care unit (ICU) admission. A robust risk-stratification tool is crucial for in-time sepsis treatment. This study aimed to compare the abilities of five rapid scoring systems, i.e., LqSOFA score, qSOFA score, SIRS, MEDS, and MEWS, in predicting the mortality in hospital and ICU admission for sepsis patients. METHODS: A retrospective observational clinical study was conducted in West China Hospital. Our cases included all patients admitted to the hospital with a diagnosis of sepsis (sepsis-3). We calculated five rapid prediction scores for the enrolled cases. We then compared each rapid score's ability to predict in-hospital mortality and ICU admission. RESULTS: A total of 821 of mixed sepsis patients by sepsis-3 definition were included. The all-cause hospital mortality rate was 21.1%. The LqSOFA score presented the most significant discrimination with an area under the receiver operating characteristic curve (AUC) of 0.751. The AUC of the LqSOFA score for mortality in the hospital was significantly higher than qSOFA (AUC 0.717), SIRS (AUC 0.704), MEDS (AUC 0.670), and MEWS (AUC 0.685). CONCLUSIONS: LqSOFA is a superior prognostic tool for predicting mortality in the hospital. It may provide more exact information for hospital mortality than the other 4 rapid scores in treating sepsis patients.
19
Eamon Raith, Andrew Udy, Michael Bailey et al. · JAMA · 2017 · 1.3K citations
Veterinary Medicine, Infectious Diseases, Critical Care Medicine +14
Matthew M. Churpek, Ashley Snyder, Xuan Han et al. · American Journal of Respiratory and Critical Care Medicine · 2016 · 701 citations · Full text
Veterinary Medicine, Clinical Sciences, Infectious Diseases +17
Zhiqiang Liu, Zibo Meng, Yongfeng Li et al. · Scandinavian Journal of Trauma Resuscitation and Emergency Medicine · 2019 · 347 citations · Full text
Veterinary Medicine, Internal Medicine, Clinical Decision Support +16
Åsa Askim, Florentin Moser, Lise Tuset Gustad et al. · Scandinavian Journal of Trauma Resuscitation and Emergency Medicine · 2017 · 249 citations · Full text
Veterinary Medicine, Emergency Medicine, Infectious Diseases +17