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Hanan Elkalawy 1 Article
Surgery
Early detection and assessment of intensive care unit-acquired weakness: a comprehensive review
Hanan Elkalawy, Pavan Sekhar, Wael Abosena
Acute Crit Care. 2023;38(4):409-424.   Published online November 30, 2023
DOI: https://doi.org/10.4266/acc.2023.00703
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  • 1 Web of Science
  • 2 Crossref
AbstractAbstract PDF
Intensive care unit-acquired weakness (ICU-AW) is a serious complication in critically ill patients. Therefore, timely and accurate diagnosis and monitoring of ICU-AW are crucial for effectively preventing its associated morbidity and mortality. This article provides a comprehensive review of ICU-AW, focusing on the different methods used for its diagnosis and monitoring. Additionally, it highlights the role of bedside ultrasound in muscle assessment and early detection of ICU-AW. Furthermore, the article explores potential strategies for preventing ICU-AW. Healthcare providers who manage critically ill patients utilize diagnostic approaches such as physical exams, imaging, and assessment tools to identify ICU-AW. However, each method has its own limitations. The diagnosis of ICU-AW needs improvement due to the lack of a consensus on the appropriate approach for its detection. Nevertheless, bedside ultrasound has proven to be the most reliable and cost-effective tool for muscle assessment in the ICU. Combining the Sequential Organ Failure Assessment (SOFA) score, Acute Physiology and Chronic Health Evaluation (APACHE) II score assessment, and ultrasound can be a convenient approach for the early detection of ICU-AW. This approach can facilitate timely intervention and prevent catastrophic consequences. However, further studies are needed to strengthen the evidence.

Citations

Citations to this article as recorded by  
  • Characteristics of the Cerebrospinal Fluid in Septic Patients with Critical Illness Polyneuropathy - A Retrospective Cohort Study
    Yanyang Zhang, Jinfu Ma, Qing Zhao, Hui Liu
    The Journal of Critical Care Medicine.2024; 10(2): 130.     CrossRef
  • Advancing critical care recovery: The pivotal role of machine learning in early detection of intensive care unit-acquired weakness
    Georges Khattar, Elie Bou Sanayeh
    World Journal of Clinical Cases.2024; 12(21): 4455.     CrossRef

ACC : Acute and Critical Care