Observational studyPloS one2014
Early prediction of intensive care unit-acquired weakness using easily available parameters: a prospective observational study.
Observational study in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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.
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Who cites it
21 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Risk prediction models for intensive care unit-acquired weakness in intensive care unit patients: A systematic review.PloS one · 2021Pooled it
- Aminoglycoside use and intensive care unit-acquired weakness: A systematic review and meta-analysis.PloS one · 2020Pooled it
- Corticosteroid use and intensive care unit-acquired weakness: a systematic review and meta-analysis.Critical care (London, England) · 2018Pooled it
- Intensive Care Unit Acquired Weakness as a Modifiable Organ Dysfunction? A Narrative Review of Evolving Diagnostic and Therapeutic Concepts.Nutrients · 2026Review
- Integrating sarcopenia into ICU-acquired weakness risk stratification: a machine learning-based prediction model for critical care.Frontiers in nutrition · 2026Article
- Risk factors for ICU-acquired weakness in patients undergoing mechanical ventilation: a systematic review and meta-analysis.Journal of thoracic disease · 2025Article
- Development and validation of a machine learning model for early prediction of intensive care unit acquired weakness.Intensive care medicine experimental · 2025Article
- Potential diagnostic tools for intensive care unit acquired weakness: A systematic review.International journal of nursing studies advances · 2025Review
- Predictive modeling of ICU-AW inflammatory factors based on machine learning.BMC neurology · 2024Article
- Which factors are associated with acquired weakness in the ICU? An overview of systematic reviews and meta-analyses.Journal of intensive care · 2024Review
- Association of tissue oxygen saturation levels with skeletal muscle injury in the critically ill.Scientific reports · 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
- Article
- Development and validation of an intensive care unit acquired weakness prediction model: A cohort study.Frontiers in medicine · 2023Article
- Changes in muscle ultrasound for the diagnosis of intensive care unit acquired weakness in critically ill patients.Scientific reports · 2021Article
- Early Prediction of Intensive Care Unit-Acquired Weakness: A Multicenter External Validation Study.Journal of intensive care medicine · 2020Observational
- Skeletal Muscle Index at Intensive Care Unit Admission Is a Predictor of Intensive Care Unit-Acquired Weakness in Patients With Sepsis.Journal of clinical medicine research · 2019Article
- Diagnostic accuracy of quantitative neuromuscular ultrasound for the diagnosis of intensive care unit-acquired weakness: a cross-sectional observational study.Annals of intensive care · 2017Article
- Is gentamicin affecting the neuromuscular system of critically ill patients?Intensive care medicine · 2015Observational
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAn early diagnosis of Intensive Care Unit-acquired weakness (ICU-AW) using muscle strength assessment is not possible in most critically ill patients. We hypothesized that development of ICU-AW can be predicted reliably two days after ICU admission, using patient characteristics, early available clinical parameters, laboratory results and use of medication as parameters.
methodsNewly admitted ICU patients mechanically ventilated ≥2 days were included in this prospective observational cohort study. Manual muscle strength was measured according to the Medical Research Council (MRC) scale, when patients were awake and attentive. ICU-AW was defined as an average MRC score <4. A prediction model was developed by selecting predictors from an a-priori defined set of candidate predictors, based on known risk factors. Discriminative performance of the prediction model was evaluated, validated internally and compared to the APACHE IV and SOFA score.
resultsOf 212 included patients, 103 developed ICU-AW. Highest lactate levels, treatment with any aminoglycoside in the first two days after admission and age were selected as predictors. The area under the receiver operating characteristic curve of the prediction model was 0.71 after internal validation. The new prediction model improved discrimination compared to the APACHE IV and the SOFA score.
conclusionThe new early prediction model for ICU-AW using a set of 3 easily available parameters has fair discriminative performance. This model needs external validation.
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