ArticleJournal of translational medicine2021
Development and validation of a score to predict mortality in ICU patients with sepsis: a multicenter retrospective study.
Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Shared genetic correlations between kidney diseases and sepsis.Frontiers in endocrinology · 2024Pooled it
- Evaluating the generalisability of LiSep LSTM for early prediction of septic shock across US and european cohorts.Scientific reports · 2026Article
- Machine learning-based prediction of sepsis-induced myocardial injury: external validation and SHAP interpretation.BMC infectious diseases · 2026Article
- Comparison of predictive values of Acute Physiology and Chronic Health Evaluation scores for mortality in sepsis: a systematic review and meta-analysis.World journal of emergency medicine · 2026Review
- Development and validation of a 28-day mortality risk prediction model for patients with AIDS suffering from sepsis secondary to pulmonary infections in the ICU.BMC infectious diseases · 2026Article
- Development of a nomogram to predict 30-day mortality in patients with chronic obstructive pulmonary disease complicated by sepsis: insights from the Medical Information Mart for Intensive Care (MIMIC-IV) database.Journal of thoracic disease · 2025Article
- Improving Sepsis Mortality Prediction With Machine Learning Using Full Region Synthetic Sampling Approach.Health science reports · 2025Article
- Epidemiology, antimicrobial resistance, and risk factors of infection among liver transplant patients: a retrospective study 2010-2023.Microbiology spectrum · 2025Article
- Development and validation of a modified SOFA score for mortality prediction in candidemia patients.Scientific reports · 2025Article
- Construction and validation of a prediction model for short-term mortality risk in elderly patients with sepsis: a retrospective study.BMC infectious diseases · 2025Article
- Explainable machine learning model for prediction of 28-day all-cause mortality in immunocompromised patients in the intensive care unit: a retrospective cohort study based on MIMIC-IV database.European journal of medical research · 2025Article
- Inflammatory burden index as a predictor of mortality in septic patients: a retrospective study using the MIMIC-IV database.BMC infectious diseases · 2025Article
- Predicting hemorrhage expansion in patients with hypertensive intracerebral hemorrhage: the HE-VSD-A2TP score.Frontiers in neurology · 2025Article
- Prognostic Value of Procalcitonin and Procalcitonin Clearance in Septic Shock Patients: A Study from a Tertiary Teaching Hospital in Southern China.Infection and drug resistance · 2025Article
- Combining host immune response biomarkers and clinical scores for early prediction of sepsis in infection patients.Annals of medicine · 2024Article
- Optimal fluid resuscitation targets in septic patients with acutely decompensated heart failure.BMC medicine · 2024Article
- Development and validation of a nomogram model for predicting 28-day mortality in patients with sepsis.Heliyon · 2024Article
- Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers.European journal of medical research · 2024Article
- Developing a rapid predictive model for falls in older hospitalized patients.Frontiers in public health · 2024Observational
- Comparison of qSOFA, SIRS, NEWS and REWS Scores in Predicting Severity and 28-day Mortality of older Suspected Sepsis Cases; a Prognostic Accuracy Study.Archives of academic emergency medicine · 2024Article
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10 authors.
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Abstract
backgroundEarly and accurate identification of septic patients at high risk for ICU mortality can help clinicians make optimal clinical decisions and improve the patients' outcomes. This study aimed to develop and validate (internally and externally) a mortality prediction score for sepsis following admission in the ICU.
methodsWe extracted data retrospectively regarding adult septic patients from one teaching hospital in Wenzhou, China and a large multi-center critical care database from the USA. Demographic data, vital signs, laboratory values, comorbidities, and clinical outcomes were collected. The primary outcome was ICU mortality. Through multivariable logistic regression, a mortality prediction score for sepsis was developed and validated.
resultsFour thousand two hundred and thirty six patients in the development cohort and 8359 patients in three validation cohorts. The Prediction of Sepsis Mortality in ICU (POSMI) score included age ≥ 50 years, temperature < 37 °C, Respiratory rate > 35 breaths/min, MAP ≤ 50 mmHg, SpO2 < 90%, albumin ≤ 2 g/dL, bilirubin ≥ 0.8 mg/dL, lactate ≥ 4.2 mmol/L, BUN ≥ 21 mg/dL, mechanical ventilation, hepatic failure and metastatic cancer. In addition, the area under the receiver operating characteristic curve (AUC) for the development cohort was 0.831 (95% CI, 0.813-0.850) while the AUCs ranged from 0.798 to 0.829 in the three validation cohorts. Moreover, the POSMI score had a higher AUC than both the SOFA and APACHE IV scores. Notably, the Hosmer-Lemeshow (H-L) goodness-of-fit test results and calibration curves suggested good calibration in the development and validation cohorts. Additionally, the POSMI score still exhibited excellent discrimination and calibration following sensitivity analysis. With regard to clinical usefulness, the decision curve analysis (DCA) of POSMI showed a higher net benefit than SOFA and APACHE IV in the development cohort.
conclusionPOSMI was validated to be an effective tool for predicting mortality in ICU patients with sepsis.
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