ArticleBioMed research international2022
Internal Validation of the Predictive Performance of Models Based on Three ED and ICU Scoring Systems to Predict Inhospital Mortality for Intensive Care Patients Referred from the Emergency Department.
Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 22 citations in OpenAlex.
- Prognosis prediction by urinary liver-type fatty acid-binding protein in patients in the intensive care unit admitted from the emergency department: A single-center, historical cohort study.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2026Article
- Forecasting COVID-19 inpatient mortality using fundamental parameters in resource-constrained settings: a countrywide multi-center cohort study.BMC infectious diseases · 2025Article
- Smart emergency care: a narrative review of predictive machine learning models.Annals of translational medicine · 2025Review
- A nomogram for predicting ICU mortality of sepsis associated encephalopathy: a retrospective cohort study based on MIMIC-IV and eICU-CRD.BMC medical informatics and decision making · 2025Article
- Evaluating the predictive performance of PIRO score against six clinical prediction scores for COVID-19 outcomes in the emergency department.Scientific reports · 2025Article
- Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit.BMC medical informatics and decision making · 2025Article
- Construction and evaluation of a triage assessment model for patients with acute non-traumatic chest pain: mixed retrospective and prospective observational study.BMC emergency medicine · 2025Observational
- Development and validation of a nomogram to predict survival in septic patients with heart failure in the intensive care unit.Scientific reports · 2025Article
- Prognostic Value of Lactate/Albumin Ratio and NEWS-Lactate in Predicting Sepsis-Associated Acute Kidney Injury: A Retrospective Analysis.Archives of academic emergency medicine · 2025Review
- Development and validation of nomogram for predicting the risk of transferring to the ICU for children with influenza.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024Article
- Predictive model of risk factors for 28-day mortality in patients with sepsis or sepsis-associated delirium based on the MIMIC-IV database.Scientific reports · 2024Article
- Article
- An elastic net regression model for predicting the risk of ICU admission and death for hospitalized patients with COVID-19.Scientific reports · 2024Article
- Development and validation of early prediction models for new-onset functional impairment in patients after being transferred from the ICU.Scientific reports · 2024Article
- Nomogram predictive model for in-hospital mortality risk in elderly ICU patients with urosepsis.BMC infectious diseases · 2024Article
- A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department.Scientific reports · 2024Article
- Author Response.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024Article
- A comparison of random survival forest and Cox regression for prediction of mortality in patients with hemorrhagic stroke.BMC medical informatics and decision making · 2023Article
- Comparison of Six Scoring Systems for Predicting In-hospital Mortality among Patients with SARS-COV2 Presenting to the Emergency Department.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023Article
- Comparing In-Hospital Mortality Prediction by Senior Emergency Resident's Judgment and Prognostic Models in the Emergency Department.BioMed research international · 2023Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: A variety of scoring systems have been introduced for use in both the emergency department (ED) such as WPS, REMS, and MEWS and the intensive care unit (ICU) such as APACHE II, SAPS II, and SOFA for risk stratification and mortality prediction. However, the performance of these models in the ICU remains unclear and we aimed to evaluate and compare their performance in the ICU. Methods: This multicenter retrospective cohort study was conducted on severely ill patients admitted to the ICU directly from the ED in seven tertiary hospitals in Iran from August 2018 to August 2020. We evaluated all models in terms of discrimination (AUROC), the balance between positive predictive value and sensitivity (AUPRC), calibration (Hosmer-Lemeshow test and calibration plots), and overall performance using the Brier score (BS). The endpoint was considered inhospital mortality. Results: Among the 3,455 patients included in the study, 54.4% of individuals were male ( Conclusion: The APACHE II outperformed all the ED and ICU models and was found to be the most appropriate model in predicting inhospital mortality of patients in the ICU in terms of discrimination, calibration, and accuracy of predicted probability. Except for MEWS, the rest of the models had fair discrimination and partially good calibration. Interestingly, although the REMS is less complicated than the SAPS II, both models exhibited similar performance. Clinicians can utilize the REMS as part of a larger clinical assessment to manage patients more effectively.
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