ArticleYonsei medical journal2015
Readmission to medical intensive care units: risk factors and prediction.
Article in Yonsei medical journal, 2015. 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.
- Interpretable machine learning for identifying ICU readmission risk in subgroups with probabilistic rules.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Intensive Care Unit Readmissions in a Level I Trauma Center.The Journal of surgical research · 2025Article
- Multicenter validation of a machine learning model to predict intensive care unit readmission within 48 hours after discharge.EClinicalMedicine · 2025Article
- Factors associated with unplanned intensive care unit readmission among trauma patients in Republic of Korea.Acute and critical care · 2024Article
- Article
- Outcomes and factors associated with prolonged stays among patients admitted to adult intensive care unit in a resource-limited setting: a multicenter chart review.Scientific reports · 2024Article
- Determinants of Readmission in the Intensive Care Unit: A Prospective Observational Study.Cureus · 2024Article
- Characteristics and Outcome of ICU Unplanned Readmission in Trauma Patients During the Same Hospitalization.Bulletin of emergency and trauma · 2024Article
- Validity of Pediatric Early Warning Score in Predicting Unplanned Pediatric Intensive Care Unit Readmission.Journal of pediatric intensive care · 2023Article
- Improving Intensive Care Unit Early Readmission Prediction Using Optimized and Explainable Machine Learning.International journal of environmental research and public health · 2023Article
- Status and Risk Factors in Patients Requiring Unplanned Intensive Care Unit Readmission Within 48 Hours: A Retrospective Propensity-Matched Study in China.Risk management and healthcare policy · 2023Article
- Predictive Modeling for Readmission to Intensive Care: A Systematic Review.Critical care explorations · 2023Review
- Prognostic value of National Early Warning Score and Modified Early Warning Score on intensive care unit readmission and mortality: A prospective observational study.Frontiers in medicine · 2022Article
- Risk Stratification Model for Predicting Coronary Care Unit Readmission.Frontiers in cardiovascular medicine · 2022Article
- Clinical and Laboratory Profile of COVID-19 Pneumonia Patients With a Complicated Post-Intensive Care Unit Hospital Course.Journal of clinical medicine research · 2021Article
- Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists.Critical care explorations · 2021Article
- Risk factors for intensive care unit readmission after lung transplantation: a retrospective cohort study.Acute and critical care · 2021Article
- A Simple Scoring Tool to Predict Medical Intensive Care Unit Readmissions Based on Both Patient and Process Factors.Journal of general internal medicine · 2021Article
- Modified Early Warning Score as a predictor of intensive care unit readmission within 48 hours: a retrospective observational study.Revista Brasileira de terapia intensiva · 2020Observational
- Impact of Intensive Care Unit Readmissions on Patient Outcomes and the Evaluation of the National Early Warning Score to Prevent Readmissions: Literature Review.JMIR perioperative medicine · 2020Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe objectives of this study were to find factors related to medical intensive care unit (ICU) readmission and to develop a prediction index for determining patients who are likely to be readmitted to medical ICUs. MATERIALS AND
methodsWe performed a retrospective cohort study of 343 consecutive patients who were admitted to the medical ICU of a single medical center from January 1, 2008 to December 31, 2012. We analyzed a broad range of patients' characteristics on the day of admission, extubation, and discharge from the ICU.
resultsOf the 343 patients discharged from the ICU alive, 33 (9.6%) were readmitted to the ICU unexpectedly. Using logistic regression analysis, the verified factors associated with increased risk of ICU readmission were male sex [odds ratio (OR) 3.17, 95% confidence interval (CI) 1.29-8.48], history of diabetes mellitus (OR 3.03, 95% CI 1.29-7.09), application of continuous renal replacement therapy during ICU stay (OR 2.78, 95% CI 0.85-9.09), white blood cell count on the day of extubation (OR 1.13, 95% CI 1.07-1.21), and heart rate just before ICU discharge (OR 1.03, 95% CI 1.01-1.06). We established a prediction index for ICU readmission using the five verified risk factors (area under the curve, 0.76, 95% CI 0.66-0.86).
conclusionBy using specific risk factors associated with increased readmission to the ICU, a numerical index could be established as an estimation tool to predict the risk of ICU readmission.
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