ArticlePloS one2015
Comparison of Unplanned Intensive Care Unit Readmission Scores: A Prospective Cohort Study.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- AI-Driven Predictions of Readmission and Mortality for Improved Discharge Decisions in Critical Care: A Retrospective Study.Diagnostics (Basel, Switzerland) · 2026Article
- Interpretable machine learning for identifying ICU readmission risk in subgroups with probabilistic rules.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- A Reproducible Post-Valve-Replacement EHR Cohort for Comparative AI Studies.Diagnostics (Basel, Switzerland) · 2026Article
- Characteristics and outcomes of trauma patients with unplanned intensive care unit admissions: Bounce backs and upgrades comparison.World journal of critical care medicine · 2025Article
- Development of a Simple Scoring System for Predicting Discharge Safety from the Medical ICU to Low-Acuity Wards: The Role of the Sequential Organ Failure Assessment Score, Albumin, and Red Blood Cell Distribution Width.Journal of personalized medicine · 2024Article
- Unmasking the hidden aftermath: postintensive care unit sequelae, discharge preparedness, and long-term follow-up.Critical care science · 2024Review
- Predictive Modeling for Readmission to Intensive Care: A Systematic Review.Critical care explorations · 2023Review
- Nursing Activities Score at Discharge from the Intensive Care Unit Is Associated with Unplanned Readmission to the Intensive Care Unit.Journal of clinical medicine · 2022Article
- Novel Score for Stratifying Risk of Critical Care Needs in Patients With Intracerebral Hemorrhage.Neurology · 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
- Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk.Scientific reports · 2020Article
- Readmissions to General ICUs in a Geographic Area of Poland Are Seemingly Associated with Better Outcomes.International journal of environmental research and public health · 2020Article
- Readmission and hospital mortality after ICU discharge of critically ill cancer patients.PloS one · 2019Article
- Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.Annals of the American Thoracic Society · 2018Observational
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- ICU Readmissions: Good for Reflection on Performance But Not a Reflection of Quality.Critical care medicine · 2016Article
- The impact of critical care transition programs on outcomes after intensive care unit (ICU) discharge: can we get there from here?Journal of thoracic disease · 2016Article
- Correction: Comparison of Unplanned Intensive Care Unit Readmission Scores: A Prospective Cohort Study.PloS one · 2016Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeEarly discharge from the intensive care unit (ICU) may constitute a strategy of resource consumption optimization; however, unplanned readmission of hospitalized patients to an ICU is associated with a worse outcome. We aimed to compare the effectiveness of the Stability and Workload Index for Transfer score (SWIFT), Sequential Organ Failure Assessment score (SOFA) and simplified Therapeutic Intervention Scoring System (TISS-28) in predicting unplanned ICU readmission or unexpected death in the first 48 hours after discharge from the ICU.
methodsWe conducted a prospective cohort study in a single tertiary hospital in southern Brazil. All adult patients admitted to the ICU for more than 24 hours from January 2008 to December 2009 were evaluated. SWIFT, SOFA and TISS-28 scores were calculated on the day of discharge from the ICU. A stepwise logistic regression was conducted to evaluate the effectiveness of these scores in predicting unplanned ICU readmission or unexpected death in the first 48 hours after discharge from the ICU. Moreover, we conducted a direct accuracy comparison among SWIFT, SOFA and TISS-28 scores.
resultsA total of 1,277 patients were discharged from the ICU during the study period. The rate of unplanned ICU readmission or unexpected death in the first 48 hours after discharge from the ICU was 15% (192 patients). In the multivariate analysis, age (P = 0.001), length of ICU stay (P = 0.01), cirrhosis (P = 0.03), SWIFT (P = 0.001), SOFA (P = 0.01) and TISS-28 (P<0.001) constituted predictors of unplanned ICU readmission or unexpected death. The SWIFT, SOFA and TISS-28 scores showed similar predictive accuracy (AUC valueswere 0.66, 0.65 and 0.67, respectively; P = 0.58) [corrected].
conclusionsSWIFT, SOFA and TISS-28 on the day of discharge from the ICU have only moderate accuracy in predicting ICU readmission or death. The present study did not find any differences in accuracy among the three scores.
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