ArticleJournal of the Intensive Care Society2024
Intensive care unit admission criteria: a scoping review.
Article in Journal of the Intensive Care Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Delayed Admission to the Intensive Care Unit Is Associated With Increased Mortality Risk in Critically Ill Patients: A Prospective Cohort Study.Journal of advanced nursing · 2026Article
- The ICUPASS Study: Variability, Influencing Factors, and Clinician Stress in ICU Admission Decisions.Cureus · 2026Article
- Current status of day surgery nursing services and safety management in Hubei Province: a cross-sectional survey.Frontiers in public health · 2026Article
- Clinical Characteristics and Antimicrobial Resistance ofInfection and drug resistance · 2026Article
- Deep Learning-Based 30-Day Mortality Prediction in Critically Ill Bone and Bone Marrow Metastasis Patients: A Multicenter Retrospective Cohort Study.Current oncology (Toronto, Ont.) · 2025Article
- Development and validation of a transformer model-based early warning score for real-time prediction of adverse outcomes in the emergency department.Scientific reports · 2025Article
- PREDICTING UNPLANNED TRAUMA INTENSIVE CARE UNIT ADMISSIONS FOR INITIAL NONOPERATIVE, NON-ICU PATIENTS.Shock (Augusta, Ga.) · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Effectively identifying deteriorated patients is vital to the development and validation of automated systems designed to predict clinical deterioration. Existing outcome measures used for this purpose have significant limitations. Published criteria for admission to high acuity inpatient areas may represent markers of patient deterioration and could inform the development of alternate outcome measures. Objectives: In this scoping review, we aimed to characterise published criteria for admission of adult inpatients to high acuity inpatient areas including intensive care units. A secondary aim was to identify variables that are extractable from electronic health records (EHRs). Data sources: Electronic databases Charting methods: Data was extracted from each publication using a standardised data-charting form. Admission criteria characteristics were summarised and cross-tabulated for each criterion by population group. Results: Five domains were identified: diagnosis-based criteria, clinical parameter criteria, organ-support criteria, organ-monitoring criteria and patient baseline criteria. Six clinical parameter-based criteria and five needs-based criteria were frequently proposed and represent variables extractable from EHRs. Thresholds for objective clinical parameter criteria varied across publications, and by disease subgroup, and universal cut-offs for criteria could not be elucidated. Conclusions: This study identified multiple criteria which may represent markers of deterioration. Many of the criteria are extractable from the EHR, making them potential candidates for future automated systems. Variability in admission criteria and associated thresholds across the literature suggests clinical deterioration is a heterogeneous phenomenon which may resist being defined as a single entity via a consensus-driven process.
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