ArticleIntensive care medicine2010
Ward mortality after ICU discharge: a multicenter validation of the Sabadell score.
Article in Intensive care medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05778682 (Decannulation of Tracheostomy Cannula Based on Suctioning Frequency and High-flow Oxygen Protocol in the Intensive Care Unit), which is not on this map. Cited by 25 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Decannulation of Tracheostomy Cannula Based on Suctioning Frequency and High-flow Oxygen Protocol in the Intensive Care Unit
Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A meta-analysis to derive literature-based benchmarks for readmission and hospital mortality after patient discharge from intensive care.Critical care (London, England) · 2014Pooled it
- A systematic review of tools for predicting severe adverse events following patient discharge from intensive care units.Critical care (London, England) · 2013Pooled it
- Impact of Legal Protection on Life-Support Interventions and 3-Month Mortality in the Intensive Care Unit: The Vulne-Rea Study.Healthcare (Basel, Switzerland) · 2026Article
- 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
- Article
- ICU stays that are judged to be non-beneficial: A qualitative study of the perception of nursing staff.PloS one · 2023Article
- Risk Stratification Model for Predicting Coronary Care Unit Readmission.Frontiers in cardiovascular medicine · 2022Article
- Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists.Critical care explorations · 2021Article
- Death in hospital following ICU discharge: insights from the LUNG SAFE study.Critical care (London, England) · 2021Article
- Accuracy of Clinicians' Ability to Predict the Need for Intensive Care Unit Readmission.Annals of the American Thoracic Society · 2020Article
- Influence of deprivation on initial severity and prognosis of patients admitted to the ICU: the prospective, multicentre, observational IVOIRE cohort study.Annals of intensive care · 2020Article
- Subjective score and outcomes after discharge from the intensive care unit: a prospective observational study.The Journal of international medical research · 2019Observational
- Going back to the ward-transitioning care back to the ward team.Translational pediatrics · 2018Review
- Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.Annals of the American Thoracic Society · 2018Observational
- The outcomes and prognostic factors of the patients with unplanned intensive care unit readmissions.Medicine · 2018Observational
- Limitation of life support techniques at admission to the intensive care unit: a multicenter prospective cohort study.Journal of intensive care · 2018Article
- High red blood cell distribution width as a marker of hospital mortality after ICU discharge: a cohort study.Journal of intensive care · 2018Article
- Development and implementation of a risk identification tool to facilitate critical care transitions for high-risk surgical patients.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2017Article
- Can this patient be safely discharged from the ICU?Intensive care medicine · 2016Article
- Readmission to medical intensive care units: risk factors and prediction.Yonsei medical journal · 2015Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTools for predicting post-ICU patients' outcomes are scarce. A single-center study showed that the Sabadell score classified patients into four groups with clear-cut differences in ward mortality. OBJECTIVE AND
designTo validate the Sabadell score using a prospective multicenter approach.
settingThirty-one ICUs in Spain. PATIENTS AND
methodsAll patients admitted in the 3-month study period. We recorded variables at ICU admission (age, sex, severity of illness, and do-not-resuscitate orders), during the ICU stay (ICU-specific treatments, ICU-acquired infection, and acute renal failure), and at ICU discharge (Sabadell score). Statistical analyses included one-way ANOVA and multiple regression analysis with ward mortality as the dependent variable.
resultsWe admitted 4,132 patients (mean age 61.5 +/- 16.7 years) with mean predicted mortality of 23.8 +/- 22.7%; 545 patients (13%) died in the ICU and 3,587 (87%) were discharged to the ward. Overall ward mortality was 6.7%; ward mortality was 1.5% (36/2,422) in patients with score 0 (good prognosis), 9% (64/725) in patients with score 1 (long-term poor prognosis), 23% (79/341) in patients with score 2 (short-term poor prognosis), and 64% (63/99) in patients with score 3 (expected hospital death). Variables associated with ward mortality in the multivariate analysis were predicted risk of death (OR 1.016), ICU readmission (OR 5.9), Sabadell score 1 (OR 4.7), Sabadell score 2 (OR 15.7), and Sabadell score 3 (OR 107.2).
conclusionWe confirm the ability of the Sabadell score at ICU discharge to define four groups of patients with very different likelihoods of hospital survival.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.