Figures
Abstract
Background
This study assesses the incidence of ICU-acquired weakness (ICUAW) among patients using kidney replacement therapy (KRT) and explores the uncertain relationship between KRT and ICUAW in critically ill adult patients.
Methods
A comprehensive search was conducted across PubMed, Embase, Web of Science, and the Cochrane Central Register of Controlled Trials up to June 10, 2024. Inclusion criteria encompassed randomized controlled trials (RCTs), as well as prospective and retrospective cohort studies that examined the correlation between KRT and ICUAW in adult ICU patients. Heterogeneity was evaluated using the χ² and I² statistics. Publication bias was assessed qualitatively via funnel plots and quantitatively using Begg’s and Egger’s tests.
Results
A total of twelve cohort studies involving 2275 adult patients were included, with no RCTs meeting the criteria. The overall incidence of ICUAW was 49.5% in patients using KRT, compared to 34.8% in non-KRT controls. These studies collectively demonstrated a statistically significant association between KRT and a higher incidence of ICUAW (OR, 2.12; 95% CI, 1.34–3.34). Subgroup and sensitivity analyses reinforced this association, particularly in studies involving patients with clinical weakness, large sample sizes, and low risk of bias. However, studies focused on patients with abnormal electrophysiology and small sample sizes did not show this correlation. Despite the substantial findings, statistical heterogeneity was present. No significant publication bias was detected.
Citation: Yang T, Zhang K, Xi X, Yu S (2025) Incidence of intensive care unit acquired weakness in critically ill patients treated with kidney replacement therapy: A systematic review and meta-analysis. PLoS One 20(5): e0323874. https://doi.org/10.1371/journal.pone.0323874
Editor: Wisit Kaewput, Phramongkutklao College of Medicine, THAILAND
Received: November 20, 2024; Accepted: April 16, 2025; Published: May 15, 2025
Copyright: © 2025 Yang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting information files.
Funding: This study was funded by Guiyang Science and Technology Plan Project (NO.[2024]2-24). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Intensive care unit-acquired weakness (ICUAW) is a prevalent and debilitating neuromuscular complication that affects a substantial number of critically ill patients. ICUAW is characterized by severe muscle weakness and is associated with several adverse clinical outcomes, including prolonged mechanical ventilation, extended ICU and hospital stays, increased healthcare costs, and higher rates of ICU- and hospital-related mortality [1–3]. Beyond these acute impacts, ICUAW contributes to long-term functional impairments, complicating the rehabilitation process for survivors of critical illness. Acute kidney injury (AKI) is another frequent complication in critically ill patients, affecting nearly half of ICU admissions, with approximately 15% of these patients requiring kidney replacement therapy (KRT) to manage severe kidney dysfunction [4]. KRT, encompassing hemodialysis, continuous kidney replacement therapies, and other modalities, is a cornerstone treatment for supporting kidney function in critically ill patients. Due to the high incidence of AKI in ICUs, KRT has become a vital tool for managing severe kidney impairment. The relationship between KRT and ICUAW has garnered increasing interest in recent years. An early study [5] suggested that KRT might mitigate ICUAW by reducing the toxic burden of kidney failure, maintaining fluid and electrolyte balance, and optimizing hemodynamic stability. These findings proposed a potential protective effect of KRT, hypothesizing that improved kidney function and metabolic control might reduce factors contributing to muscle weakness. However, recent evidence challenges this view, indicating that ICU patients receiving KRT may be at a higher risk of developing ICUAW. This emerging perspective posits that KRT, while life-saving, could contribute to ICUAW through various mechanisms. Prolonged KRT exposure, particularly continuous therapies, may lead to electrolyte imbalances, fluid shifts, and other metabolic disturbances that exacerbate muscle dysfunction. Additionally, the severity of the illness necessitating KRT may independently elevate the risk of ICUAW, complicating the potential protective role of KRT. Given these complexities, there remains uncertainty regarding the relationship between KRT and ICUAW. Conflicting results from previous studies underscore the need for a more comprehensive evaluation. It is unclear whether KRT acts as a protective factor against ICUAW or if it inadvertently contributes to its development. This systematic review and meta-analysis aim to synthesize data from randomized controlled trials (RCTs) and prospective and retrospective cohort studies to assess the incidence of ICUAW among patients using KRT and explores the uncertain relationship between KRT and ICUAW in critically ill adult patients. By analyzing a broad range of studies, we hope to clarify this relationship and provide insights into how KRT may influence ICUAW risk in critically ill adults. These findings will help inform clinical practice and guide future research efforts to optimize care for ICU patients requiring KRT.
Materials and methods
This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [6].
Data sources and search strategy
A comprehensive search of the literature was conducted to identify relevant English-language studies published from the inception of each database through June 10, 2024. Databases searched included PubMed, Embase, Web of Science, and the Cochrane Central Register of Controlled Trials. The detailed search terms used for PubMed are provided in the Supplementary Material, and equivalent terms were applied to the other databases to ensure broad coverage. Additionally, manual searches of the reference lists in included studies and relevant review articles were conducted to capture any studies potentially missed by the electronic search.
Selection criteria
Studies included in this review were RCTs and prospective or retrospective cohort studies that specifically examined the association between KRT and ICUAW in adult patients (aged ≥18 years). ICUAW diagnosis had to be based on established diagnostic criteria, such as manual muscle testing using the Medical Research Council (MRC) scale or diagnostic tools including electrophysiological studies and histopathological analyses of muscle or nerve tissue [7,8]. Studies focused on pediatric populations, those with insufficiently reported data, or patients with primary polyneuropathies or myopathies were excluded to ensure consistency in the patient populations studied.
Study selection and data abstraction
Two independent reviewers (T.Y. and K.K.Z.) assessed the eligibility of studies through a structured selection process. Titles and abstracts were screened first, followed by full-text reviews of potentially relevant studies. Data extraction was performed using a standardized form that included details such as author names, publication year, study design, location, ICUAW incidence rates, participant numbers, neuromuscular evaluation methods, KRT treatment status, and mortality related to ICUAW. Any disagreements between reviewers were resolved through consensus or by involving a third reviewer (S.S.Y.) if needed. When data were incomplete or unclear, the original study authors were contacted for clarification.
Study quality assessment
The methodological quality of each study was evaluated independently by two reviewers (T.Y. and K.K.Z.) using the Newcastle–Ottawa Scale.
Data analysis
Meta-analysis was performed using Stata version 22.0 (StataCorp, College Station, TX, USA). Results were reported as odds ratios (ORs) with 95% confidence intervals (CIs), using the DerSimonian and Laird random effects model. Heterogeneity was assessed using the χ² test, with a P-value ≤ 0.1 considered statistically significant, and the I² statistic, with values above 50% indicating considerable heterogeneity. Subgroup and sensitivity analyses were conducted on studies based on clinical muscle testing, electrophysiology, study design (prospective vs. retrospective), sample size (excluding studies with fewer than 100 participants), and risk of bias (excluding studies with a Newcastle–Ottawa Scale score < 7). Publication bias was evaluated using Egger’s linear regression test and Begg’s rank correlation test for quantitative analysis, and funnel plots for qualitative assessment.
Results
Study search and selection
The initial search of the databases yielded 1,309 citations, as illustrated in Fig 1. After removing duplicates and excluding irrelevant studies based on titles and abstracts, 33 articles underwent full-text review. Ultimately, 12 studies [5,9–19] met the inclusion criteria and were included in the final analysis.
Study characteristics and quality
The characteristics of the included studies are summarized in Table 1. A total of 2,275 patients were covered, with nine studies [5,9,10,12,13,15–18] being prospective and three [11,14,19] retrospective cohort studies. No RCTs were included. ICUAW diagnosis methods varied, with eight studies [9–12,15,17–19] using the MRC scale and four [5,13,14,16] relying on electrophysiological methods. ICU mortality rates varied across the studies. Methodological quality assessment (Table 2) identified some bias, particularly in studies that did not use multivariable regression analysis to compare KRT effects [9,10,13,15,16,18,19] Moreover, several studies [15,19] did not specify whether outcome assessments were blinded. Inconsistent follow-up completeness was also noted in some studies [11,13,14,16].
KRT and ICUAW
The overall incidence of ICUAW among the included studies was 38.5%; patients receiving KRT had a higher incidence of ICUAW (49.5%) compared to controls (34.8%). As illustrated in Fig 2, the meta-analysis of the 12 included studies [5,9–19] revealed a significant association between KRT and an increased likelihood of ICUAW (OR 2.12; 95% CI 1.34–3.34; P < 0.01). Due to significant heterogeneity (I² = 72.8%, P < 0.01), a random-effects model was applied.
Subgroup analyses
- 1. Clinical assessment versus electrophysiology
Eight studies [9–12,15,17–19] that used clinical muscle testing showed a significant association between KRT and increased clinical weakness (OR 2.02; 95% CI 1.33–3.07; P < 0.01), with a random effects model considering the heterogeneity (I² = 50.6%, P = 0.05). The incidence of ICUAW was substantially higher in patients using KRT (44.0%) compared to those in the control group (31.9%). In contrast, the four studies [5,13,14,16] that used electrophysiological assessments did not show a significant relationship (OR 2.48; 95% CI 0.56–10.98; P = 0.23) with an incidence rate of 57.2% in the KRT group versus 40.4% in the control group. Data were pooled using a random effects model considering the observed heterogeneity (I² = 88.4%, P < 0.01) (Table 3).
- 2. Prospective vs retrospective cohort studies
Nine prospective studies [5,9,10,12,13,15–18] demonstrated a higher unadjusted incidence rate of 38.2% in the KRT group compared to 28.3% in the control group. A random effects model was employed for this analysis due to significant heterogeneity (I² = 78.5%, P < 0.01), revealing a significant association between KRT and increased ICUAW incidence (OR 2.52; 95% CI 1.19–5.35; P = 0.02). Similarly, three retrospective studies [11,14,19] also found a significant association (OR 1.66; 95% CI 1.17–2.36; P < 0.01), with an incidence rate of 57.6% in the KRT group versus 46.2% in the control group. Data were pooled using a random effects model, accounting for moderate heterogeneity (I² = 31.5%, P = 0.23) (Table 3).
- 3. Sample sizes (n ≥ 100 versus n < 100)
The eight studies [9–11,13–15,18,19] with sample sizes over 100 revealed a significant association between KRT and ICUAW (OR 1.95; 95% CI 1.27–3.01; P < 0.01). Data were pooled using a random effects model considering the observed heterogeneity (I² = 65.1%, P < 0.01). ICUAW incidence was higher in the KRT group (49.8%) compared to controls (38.5%). However, the four studies [5,12,16,17] with smaller sample sizes (n < 100) did not demonstrate a significant association (OR 2.39; 95% CI 0.51–11.29; P = 0.27). A random effects model was employed for this analysis due to significant heterogeneity (I² = 85%, P < 0.01) (Table 3).
- 4. AKI and ICUAW
Of the included studies, three studies [9,12,17] reported the incidence of ICUAW in patients with AKI. However, patients with AKI did not demonstrate a significantly higher incidence of ICUAW at 34.4%, compared to 16.9% in non-AKI controls. Analysis of three studies did not show a statistically significant association between AKI and an increased likelihood of developing ICUAW (OR 2.18; 95% CI, 0.86–5.54; P = 0.10), with a random effects model considering the heterogeneity (I² = 61.6%, P = 0.07) (Table 3).
Sensitivity analysis
Excluding studies [13,15,16] with a high risk of bias, the analysis still demonstrated a significant association between KRT and ICUAW (OR 1.65; 95% CI 1.05–2.59; P = 0.03) (Table 3). The random-effects model was employed, considering the observed heterogeneity (P < 0.01; I² = 67.9%). The incidence of ICUAW escalated to 51.0% in the KRT group, against 40.2% in the control group (Table 3).
Illness severity
Five studies [10,11,15,18,19] examined whether Acute Physiology and Chronic Health Evaluation (APACHE) II score was an independent risk factor for ICUAW, and the overall effect size (OR, 1.12; 95%CI, 1.06–1.18; P < 0.01). The random-effects model was employed, considering the observed heterogeneity (P = 0.02; I² = 66.9%).
Heterogeneity
Significant heterogeneity was observed across the included studies, which can be attributed to variations in diagnostic methods, patient populations, and study designs. To address this variability, a random-effects model was employed for all analyses. The studies utilized two distinct diagnostic approaches and two primary study design types. Additionally, sample sizes varied considerably, with studies categorized as small or large based on a cutoff of 100 participants. Due to this heterogeneity, the review conducted three comparative analyses: clinical assessment versus electrophysiology, prospective versus retrospective cohort studies, and sample size analysis (n ≥ 100 versus n < 100).
Assessment of publication biases
No significant publication bias was detected based on visual inspection of funnel plots and the results of Egger’s test (t = 1.74, P = 0.11) and Begg’s test (z = 1.85, P = 0.06) (Fig 3).
Discussion
This comprehensive systematic review and meta-analysis provide valuable insights into the complex relationship between KRT and the development of ICUAW, and the incidence of ICUAW in critically ill patients treated with kidney replacement therapy. Our findings suggest that KRT is a significant risk factor for increasing odds of ICUAW, with patients undergoing KRT potentially experiencing skeletal muscle dysfunction due to a variety of physiological and metabolic mechanisms. One plausible explanation for this increased risk is the non-selective removal of water-soluble molecules during hemodialysis and hemofiltration, including essential amino acids, peptides, and small proteins. These molecules are vital for maintaining muscle integrity and function, and their depletion during KRT may contribute to muscle wasting and weakness [20]. While some studies have suggested amino acid supplementation as a possible intervention, evidence regarding its efficacy remains inconclusive. This uncertainty raises important questions about the optimal nutritional management of patients undergoing KRT, especially concerning ICUAW prevention. Although current clinical guidelines recommend increased protein supplementation for patients on KRT [21], the lack of robust evidence supporting this approach highlights the need for further research into personalized nutritional strategies that better address the metabolic needs of these patients. Another critical factor contributing to ICUAW is prolonged immobilization or bedrest, often necessitated by the severity of illness and the complexities of KRT. Immobility accelerates muscle atrophy through mechanical silencing and disuse, compounding the muscle dysfunction already present in critically ill patients. In this context, early mobilization, physical rehabilitation, and structured exercise programs [22] have proven to be essential interventions in mitigating the adverse effects of immobility. Several studies have demonstrated the feasibility and safety of early mobilization in ICU patients, including those with vascular catheters and undergoing KRT [23–25]. Early rehabilitation not only preserves muscle strength but also improves overall outcomes, such as reduced ICU stays and better functional recovery. Despite the logistical challenges posed by KRT, such as continuous monitoring and equipment management, recent research supports integrating early mobilization protocols in patients on KRT. This underscores the importance of multidisciplinary collaboration in the ICU, ensuring that physical therapy and mobilization efforts are synchronized with kidney support therapies.
AKI is a critical clinical syndrome characterized by the rapid deterioration of renal function, leading to significant structural and functional impairments of the kidneys. It is commonly observed in acute illness settings and is strongly linked to adverse clinical outcomes [26–28]. Analysis of the included studies revealed no statistically significant association between AKI and an increased risk of developing ICUAW.
Regarding illness severity, the APACHE II score, a validated tool for assessing acute physiological abnormalities and predicting ICU mortality, was utilized to evaluate disease severity. The pooled results demonstrated that patients with higher APACHE II scores had a greater likelihood of developing ICUAW. Furthermore, the APACHE II score, as a measure of illness severity, was identified as an independent risk factor for ICUAW.
Subgroup analyses in our review underscore the nuanced relationship between KRT and ICUAW. The significant association between KRT and muscle weakness was more pronounced in patients diagnosed using clinical muscle testing (e.g., MRC scale) compared to those diagnosed through electrophysiological methods. However, within the electrophysiology subgroup, the incidences of ICUAW in both the KRT and control groups were higher than those observed in the clinical assessment subgroup. ICUAW is fundamentally a condition characterized by clinically detectable weakness, and clinical examinations are generally simpler and more practical to perform than electrophysiological assessments. Nevertheless, clinical examinations are often limited in the early stages of the disease due to impaired levels of consciousness or attentiveness in critically ill patients. This suggests that electrophysiological tests may be more sensitive in detecting ICUAW at advanced stages, whereas clinical examinations may fail to capture subclinical muscle dysfunction in its early phases. These findings highlight concerns regarding the limitations of early detection through clinical examinations, as they may not identify neuromuscular impairment until weakness becomes overt. These considerations may provide an alternative explanation for the observed differences in outcomes.
This review demonstrates methodological robustness through consistent findings across subgroup analyses, with results remaining stable regardless of study design, sample size, or risk of bias level, consistently supporting the association between KRT and ICUAW. However, several limitations merit careful consideration. The predominant reliance on observational studies, particularly cohort designs, coupled with the absence of RCTs, constrains our ability to establish causal relationships. Methodological concerns primarily stem from the widespread use of univariate analyses in most included studies, potentially leading to overestimation of effects due to inadequate control of confounding variables. Among the limited number of studies reporting multivariate analysis results for KRT, the findings were inconsistent, with one study [5] identifying KRT as protective, another [12] suggesting potential harm, and a third [11] finding no significant association. Additional methodological limitations include potential detection bias arising from unblinded outcome assessment in several studies and possible attrition bias due to inconsistent follow-up protocols. The review also identified significant knowledge gaps, particularly regarding the role of AKI in ICUAW development, with insufficient data available to explore this relationship in non-KRT patients. Despite these limitations, the robustness of the primary findings is supported by sensitivity analyses that maintained significant associations after excluding high-risk studies, while publication bias assessments using funnel plots and statistical tests (Egger’s and Begg’s) showed no significant bias. The persistent heterogeneity observed across studies, even after subgroup analyses by study design, diagnostic methods, and sample size, underscores the complexity of this clinical relationship. Moving forward, research should prioritize the implementation of RCTs and prospective multivariate designs to better account for confounding variables. Standardization of outcome assessment protocols, implementation of comprehensive follow-up procedures, and detailed investigation of AKI’s contribution to ICUAW pathophysiology, particularly in milder forms and non-KRT management scenarios, will be essential for advancing our understanding of this complex clinical relationship and informing evidence-based management strategies for critically ill patients.
Conclusion
This systematic review and meta-analysis establish a significant association between KRT and the increased incidence of developing ICUAW in critically ill patients. Future research should focus on RCTs or prospective cohort studies by performing multivariable adjustment for confounders to identify the associations between the KRT and ICUAW. By deepening our understanding of the complex interactions between critical illness, KRT, and muscle weakness, we can enhance the quality of care and long-term recovery for ICU survivors. Besides, multidisciplinary care strategies, including tailored nutritional support, early mobilization and rehabilitation protocols, may be beneficial for mitigating the harmful effects of ICUAW and improving patient outcomes.
Supporting information
S1 Table. Excluded studies and reasons for exclusion.
https://doi.org/10.1371/journal.pone.0323874.s001
(DOCX)
S3 Table. Data extraction of included studies.
https://doi.org/10.1371/journal.pone.0323874.s003
(DOCX)
References
- 1. Peñuelas O, Muriel A, Frutos-Vivar F, Fan E, Raymondos K, Rios F, et al. Prediction and outcome of intensive care unit-acquired paresis. J Intensive Care Med. 2018;33(1):16–28. pmid:27080128
- 2. Schmidt D, Margarites AG, Alvarenga LPKB, Paesi PM, Friedman G, Sbruzzi G. Post-COVID-19 intensive care unit-acquired weakness compromises long-term functional status. Phys Ther. 2023;103(12):pzad117. pmid:37658771
- 3. Hermans G, Van Mechelen H, Clerckx B, Vanhullebusch T, Mesotten D, Wilmer A, et al. Acute outcomes and 1-year mortality of intensive care unit-acquired weakness. A cohort study and propensity-matched analysis. Am J Respir Crit Care Med. 2014;190(4):410–20. pmid:24825371
- 4. Griffin BR, Liu KD, Teixeira JP. Critical care nephrology: core curriculum 2020. Am J Kidney Dis. 2020;75(3):435–52. pmid:31982214
- 5. Garnacho-Montero J, Madrazo-Osuna J, García-Garmendia JL, Ortiz-Leyba C, Jiménez-Jiménez FJ, Barrero-Almodóvar A, et al. Critical illness polyneuropathy: risk factors and clinical consequences. A cohort study in septic patients. Intensive Care Med. 2001;27(8):1288–96. pmid:11511941
- 6. Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097. pmid:19621072
- 7. Stevens RD, Marshall SA, Cornblath DR, Hoke A, Needham DM, de Jonghe B, et al. A framework for diagnosing and classifying intensive care unit-acquired weakness. Crit Care Med. 2009;37(10 Suppl):S299–308. pmid:20046114
- 8. Fan E, Cheek F, Chlan L, Gosselink R, Hart N, Herridge MS, et al. An official American Thoracic Society Clinical Practice guideline: the diagnosis of intensive care unit-acquired weakness in adults. Am J Respir Crit Care Med. 2014;190(12):1437–46. pmid:25496103
- 9. Yang Z, Wang X, Chang G, Cao Q, Wang F, Peng Z, et al. Development and validation of an intensive care unit acquired weakness prediction model: a cohort study. Front Med (Lausanne). 2023;10:1122936. pmid:36910489
- 10. Yamada K, Kitai T, Iwata K, Nishihara H, Ito T, Yokoyama R, et al. Predictive factors and clinical impact of ICU-acquired weakness on functional disability in mechanically ventilated patients with COVID-19. Heart Lung. 2023;60:139–45. pmid:37018902
- 11. Watanabe S, Hirasawa J, Naito Y, Mizutani M, Uemura A, Nishimura S, et al. Association between intensive care unit-acquired weakness and early nutrition and rehabilitation intensity in mechanically ventilated patients: a multicenter retrospective observational study. Cureus. 2023;15(4):e37417. pmid:37182030
- 12. Schmidt D, Piva TC, Glaeser SS, Piekala DM, Berto PP, Friedman G, et al. Intensive care unit-acquired weakness in patients with COVID-19: occurrence and associated factors. Phys Ther. 2022;102(5):pzac028. pmid:35233607
- 13. Frithiof R, Rostami E, Kumlien E, Virhammar J, Fällmar D, Hultström M, et al. Critical illness polyneuropathy, myopathy and neuronal biomarkers in COVID-19 patients: a prospective study. Clin Neurophysiol. 2021;132(7):1733–40. pmid:33875374
- 14. Hermans G, Schrooten M, Van Damme P, Berends N, Bouckaert B, De Vooght W, et al. Benefits of intensive insulin therapy on neuromuscular complications in routine daily critical care practice: a retrospective study. Crit Care. 2009;13(1):R5. pmid:19166623
- 15. Nanas S, Kritikos K, Angelopoulos E, Siafaka A, Tsikriki S, Poriazi M, et al. Predisposing factors for critical illness polyneuromyopathy in a multidisciplinary intensive care unit. Acta Neurol Scand. 2008;118(3):175–81. pmid:18355395
- 16. Campellone JV, Lacomis D, Kramer DJ, Van Cott AC, Giuliani MJ. Acute myopathy after liver transplantation. Neurology. 1998;50(1):46–53. pmid:9443456
- 17. De Jonghe B, Sharshar T, Lefaucheur J-P, Authier F-J, Durand-Zaleski I, Boussarsar M, et al. Paresis acquired in the intensive care unit: a prospective multicenter study. JAMA. 2002;288(22):2859–67. pmid:12472328
- 18. Lu C, Wenjuan J. Construction and evaluation of acquired weakness nomogram model in patients with mechanical ventilation in intensive care unit. Digit Health. 2024;10:20552076241261604. pmid:39055781
- 19. Liu J, Xu Z, Luo S, Bai Y, Feng J, Li F. Risk factors for ICU-acquired weakness in sepsis patients: a retrospective study of 264 patients. Heliyon. 2024;10(11):e32253. pmid:38867955
- 20. Almushayt SJ, Hussain S, Wilkinson DJ, Selby NM. A systematic review of the acute effects of hemodialysis on skeletal muscle perfusion, metabolism, and function. Kidney Int Rep. 2019;5(3):307–17. pmid:32154452
- 21. McClave SA, Taylor BE, Martindale RG, Warren MM, Johnson DR, Braunschweig C, et al. Guidelines for the provision and assessment of nutrition support therapy in the adult critically Ill patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.). JPEN J Parenter Enteral Nutr. 2016;40(2):159–211. pmid:26773077
- 22. Wang YT, Lang JK, Haines KJ, Skinner EH, Haines TP. Physical rehabilitation in the ICU: a systematic review and meta-analysis. Crit Care Med. 2022;50(3):375–88. pmid:34406169
- 23. Toonstra AL, Zanni JM, Sperati CJ, Nelliot A, Mantheiy E, Skinner EH, et al. Feasibility and safety of physical therapy during continuous renal replacement therapy in the intensive care unit. Ann Am Thorac Soc. 2016;13(5):699–704. pmid:26788890
- 24. Mayer KP, Hornsby AR, Soriano VO, Lin TC, Cunningham JT, Yuan H, et al. Safety, feasibility, and efficacy of early rehabilitation in patients requiring continuous renal replacement: a quality improvement study. Kidney Int Rep. 2019;5(1):39–47. pmid:31922059
- 25. Mayer KP, Joseph-Isang E, Robinson LE, Parry SM, Morris PE, Neyra JA. Safety and feasibility of physical rehabilitation and active mobilization in patients requiring continuous renal replacement therapy: a systematic review. Crit Care Med. 2020;48(11):e1112–20. pmid:33001619
- 26. Mayer KP, Ortiz-Soriano VM, Kalantar A, Lambert J, Morris PE, Neyra JA. Acute kidney injury contributes to worse physical and quality of life outcomes in survivors of critical illness. BMC Nephrol. 2022;23(1):137. pmid:35392844
- 27. Johansen KL, Smith MW, Unruh ML, Siroka AM, O’Connor TZ, Palevsky PM, et al. Predictors of health utility among 60-day survivors of acute kidney injury in the Veterans Affairs/National Institutes of Health Acute Renal Failure Trial Network Study. Clin J Am Soc Nephrol. 2010;5(8):1366–72. pmid:20507953
- 28. Ahlström A, Tallgren M, Peltonen S, Räsänen P, Pettilä V. Survival and quality of life of patients requiring acute renal replacement therapy. Intensive Care Med. 2005;31(9):1222–8. pmid:16049711