Observational studyCritical care (London, England)2023
Clustering of critically ill patients using an individualized learning approach enables dose optimization of mobilization in the ICU.
Observational study in Critical care (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 30 papers, 3 of them syntheses that pooled it.
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.
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.
Prospective Registry of Mobilization-, Routine- and Outcome Data of Intensive Care Patients
UP STUDY - Decipher Persistent Critical Illness Through in Deep Clinical Phenotyping.
Who cites it
30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 68 citations in OpenAlex.
- Neuromuscular electrical stimulation for early rehabilitation in critically ill patients: a systematic review of applied protocols.Critical care (London, England) · 2026Pooled it
- The intensive care medicine research agenda for the management of ICU acquired weakness: a multinational, interprofessional perspective.Intensive care medicine · 2025Pooled it
- Preoperative patient risk factors for intraoperative hypotension: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2025Pooled it
- Individualised treatment effects of enhanced early mobilisation in mechanically ventilated patients: a secondary analysis of the TEAM trial.Intensive care medicine · 2026Trial
- Rehabilitation and the post-intensive care syndrome across the recovery continuum: a narrative review.Intensive care medicine · 2026Review
- Clinical subtypes and prognosis of new-onset atrial fibrillation in critically ill patients.International journal of cardiology. Cardiovascular risk and prevention · 2026Article
- Improving long-term trajectories in very old survivors of intensive care: a narrative review.European geriatric medicine · 2026Review
- Implementation and Challenges of Early-Phase Physiotherapy During Cardiovascular Intensive Care.Circulation reports · 2026Review
- Safety recommendations on laboratory and blood count values for early mobilization in critically ill adults: an expert consensus.Critical care science · 2026Article
- Dose reporting and dose-stratified effects of early mobilization in mechanically ventilated adult ICU patients: a systematic review and meta-analysis.Frontiers in medicine · 2026Review
- Early sitting within 72 hours in the intensive care unit and post-intensive care outcomes: a multicenter cohort study.Annals of intensive care · 2026Article
- Timing of ceiling lift-assisted out-of-bed sitting training and outcomes in critically ill patients: a prospective cohort study.Critical care (London, England) · 2025Observational
- Application of Artificial Intelligence in Physical Rehabilitation of Patients Admitted to the Intensive Care Unit: A Scoping Review.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025Article
- [Positioning therapy and (early) mobilisation in intensive care units : Insights from the current S3 guideline].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2025Review
- Balancing Rehabilitation Dose in Acute Stroke Decision-Making and Global Assessment (The BRIDGE Study).Journal of clinical medicine · 2025Article
- Identifying distinct clusters of ICU survivors by integrating demographic, pre-admission quality of life, and clinical data: a large prospective cohort study.Intensive care medicine · 2025Article
- Organ-system-based subclassification of preeclampsia using machine learning predicts pregnancy outcomes.BMC pregnancy and childbirth · 2025Article
- Personalizing ICU liberation for critically Ill children: shaping the future of the ABCDEF bundle.Current opinion in pediatrics · 2025Review
- Novel Strategies to Promote Intensive Care Unit Recovery via Personalized Exercise, Nutrition, and Anabolic Interventions.Critical care clinics · 2025Review
- Interpretable personalized surgical recommendation with joint consideration of multiple decisional dimensions.NPJ digital medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhile early mobilization is commonly implemented in intensive care unit treatment guidelines to improve functional outcome, the characterization of the optimal individual dosage (frequency, level or duration) remains unclear. The aim of this study was to demonstrate that artificial intelligence-based clustering of a large ICU cohort can provide individualized mobilization recommendations that have a positive impact on the likelihood of being discharged home.
methodsThis study is an analysis of a prospective observational database of two interdisciplinary intensive care units in Munich, Germany. Dosage of mobilization is determined by sessions per day, mean duration, early mobilization as well as average and maximum level achieved. A k-means cluster analysis was conducted including collected parameters at ICU admission to generate clinically definable clusters.
resultsBetween April 2017 and May 2019, 948 patients were included. Four different clusters were identified, comprising "Young Trauma," "Severely ill & Frail," "Old non-frail" and "Middle-aged" patients. Early mobilization (< 72 h) was the most important factor to be discharged home in "Young Trauma" patients (OR
conclusionsAn artificial intelligence-based learning approach was able to divide a heterogeneous critical care cohort into four clusters, which differed significantly in their clinical characteristics and in their mobilization parameters. Depending on the cluster, different mobilization strategies supported the likelihood of being discharged home enabling an individualized and resource-optimized mobilization approach.
trial registrationClinical Trials NCT03666286, retrospectively registered 04 September 2018.
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Registered trials
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.