Observational studyJournal of intensive care medicine2020
Early Prediction of Intensive Care Unit-Acquired Weakness: A Multicenter External Validation Study.
Observational study in Journal of intensive care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.
- Growth differentiation factor-15 as a biomarker for intensive care unit-acquired weakness: a meta-analysis.Frontiers in medicine · 2025Pooled it
- Risk prediction models for intensive care unit-acquired weakness in intensive care unit patients: A systematic review.PloS one · 2021Pooled it
- Development and Validation of an Interpretable Machine Learning Model for Predicting ICU-Acquired Weakness in Postoperative Patients.Nursing in critical care · 2026Article
- Early prediction of intensive care unit-acquired weakness using quadriceps ultrasound and routine clinical variables: development and temporal validation of a prospective multicentre machine-learning model.Journal of intensive care · 2026Article
- Analysis of the factors related to the knowledge, attitudes, and practices of nurses towards intensive care unit-acquired weakness: a cross-sectional survey.BMC nursing · 2026Article
- Integrating sarcopenia into ICU-acquired weakness risk stratification: a machine learning-based prediction model for critical care.Frontiers in nutrition · 2026Article
- Development and validation of a machine learning model for early prediction of intensive care unit acquired weakness.Intensive care medicine experimental · 2025Article
- Which factors are associated with acquired weakness in the ICU? An overview of systematic reviews and meta-analyses.Journal of intensive care · 2024Review
- Development and validation of a machine learning-based model for post-sepsis frailty.ERJ open research · 2024Article
- Advancing critical care recovery: The pivotal role of machine learning in early detection of intensive care unit-acquired weakness.World journal of clinical cases · 2024Article
- Effects of the High-Intensity Early Mobilization on Long-Term Functional Status of Patients with Mechanical Ventilation in the Intensive Care Unit.Critical care research and practice · 2024Article
- Early detection and assessment of intensive care unit-acquired weakness: a comprehensive review.Acute and critical care · 2023Article
- Development and Validation of a Nomograph Model for Post-Operative Central Nervous System Infection after Craniocerebral Surgery.Diagnostics (Basel, Switzerland) · 2023Article
- Development and validation of an intensive care unit acquired weakness prediction model: A cohort study.Frontiers in medicine · 2023Article
- External Validation of a Risk Score for Daily Prediction of Atrial Fibrillation among Critically Ill Patients with Sepsis.Annals of the American Thoracic Society · 2022Article
- A novel ex vivo model for critical illness neuromyopathy using freshly resected human colon smooth muscle.Scientific reports · 2021Article
- Changes in muscle ultrasound for the diagnosis of intensive care unit acquired weakness in critically ill patients.Scientific reports · 2021Article
- Observational
- Nutritional Interventions on Physical Functioning for Critically Ill Patients: An Integrative Review.Journal of multidisciplinary healthcare · 2021Review
- Utility of Plasma GDF-15 for Diagnosis and Prognosis Assessment of ICU-Acquired Weakness in Mechanically Ventilated Patients: Prospective Observational Study.BioMed research international · 2020Observational
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesAn early diagnosis of intensive care unit-acquired weakness (ICU-AW) is often not possible due to impaired consciousness. To avoid a diagnostic delay, we previously developed a prediction model, based on single-center data from 212 patients (development cohort), to predict ICU-AW at 2 days after ICU admission. The objective of this study was to investigate the external validity of the original prediction model in a new, multicenter cohort and, if necessary, to update the model.
methodsNewly admitted ICU patients who were mechanically ventilated at 48 hours after ICU admission were included. Predictors were prospectively recorded, and the outcome ICU-AW was defined by an average Medical Research Council score <4. In the validation cohort, consisting of 349 patients, we analyzed performance of the original prediction model by assessment of calibration and discrimination. Additionally, we updated the model in this validation cohort. Finally, we evaluated a new prediction model based on all patients of the development and validation cohort.
resultsOf 349 analyzed patients in the validation cohort, 190 (54%) developed ICU-AW. Both model calibration and discrimination of the original model were poor in the validation cohort. The area under the receiver operating characteristics curve (AUC-ROC) was 0.60 (95% confidence interval [CI]: 0.54-0.66). Model updating methods improved calibration but not discrimination. The new prediction model, based on all patients of the development and validation cohort (total of 536 patients) had a fair discrimination, AUC-ROC: 0.70 (95% CI: 0.66-0.75).
conclusionsThe previously developed prediction model for ICU-AW showed poor performance in a new independent multicenter validation cohort. Model updating methods improved calibration but not discrimination. The newly derived prediction model showed fair discrimination. This indicates that early prediction of ICU-AW is still challenging and needs further attention.
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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.