ArticleBMJ open2025
Evaluation of the physiological variables and scoring systems at intensive care discharge as predictors of clinical deterioration and readmission: a single-centre retrospective study.
Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed.
- An Evaluation of Clinician and Informatician Perspectives on Medication Harm Risk Prediction Tools for Use in a Tertiary Hospital Setting.Journal of evaluation in clinical practice · 2026Article
- [Readmission to the intensive care unit : A rare phenomenon or relevant to clinical practice?]Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2026Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesWe aim to determine, using routinely collected data and common scoring systems, whether parameters seen at intensive care unit (ICU) discharge can be predictive of subsequent clinical deterioration. DESIGN/
settingA single-centre retrospective study located in a tertiary hospital in the south of England.
participants1868 patients who were admitted and discharged from ICU between 1 April 2023 and 31 March 2024 were screened for eligibility. A total of 1393 patients were included in the final analysis, including 122 patients who were classified in the 'deteriorated' subgroup.
interventionsAssessment of vital signs, blood markers of infection and inflammation and three scoring systems (National Early Warning Score 2 (NEWS2), Acute Physiology and Chronic Health Evaluation II Score and Sequential Organ Failure Assessment (SOFA) score) taken within 24 hours prior to ICU discharge. PRIMARY OUTCOMES: Assessment of predictors of deterioration after ICU discharge. SECONDARY OUTCOMES: Reasons for readmission to ICU, hospital mortality, ICU length of stay and time before readmission to ICU.
resultsHeart rate, conscious level (alert, voice, pain, unresponsive scale) and SOFA score were independent predictors of deterioration after ICU discharge (under the curve 0.85, CI 0.79 to 0.90, specificity 82.3%, sensitivity 79.7%) in multivariable models. Of these, a reduced level of consciousness was the most significant predictor of clinical deterioration (OR 19.6, CI 11.4 to 35.0). NEWS2 was an independent predictor for deterioration on univariable analysis. Mortality was significantly increased in patients who experienced deterioration after ICU discharge, as was ICU length of stay.
conclusionsPredictive models may be useful in assisting clinicians with ICU discharge decisions. Further research is required to develop patient-tailored scoring systems that incorporate other factors that are needed for decisions around ICU discharge.
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