| Literature DB >> 35783898 |
AnnMarie Liapakis1,2, Elizabeth Morris1,3, Sukru Emre1,4.
Abstract
Frailty, a global impairment of multiple organ systems resulting in increased vulnerability to health stressors, is common in end-stage liver disease, multifactorial in etiology, and impacts overall mortality as well as outcomes in liver transplantation. This is a review of the currently available data, a synopsis of expert consensus, and a framework for transplant centers to approach frailty. We suggest that centers use a multidisciplinary team of healthcare providers and approach frailty in a programmatic fashion to provide effective patient care and ensure optimal transplant outcomes. The utilization of standardized protocols to address both malnutrition and physical debility is ideal and can help ensure safety. A toolbox of resources has been made available by experts in the field to facilitate this approach. The incorporation of new technology tailored to overcome barriers is another resource under investigation. © Copyright 2021 by Hepatology Forum - Available online at www.hepatologyforum.org.Entities:
Keywords: Frailty; liver transplantation; sarcopenia
Year: 2021 PMID: 35783898 PMCID: PMC9138922 DOI: 10.14744/hf.2021.2021.0023
Source DB: PubMed Journal: Hepatol Forum ISSN: 2757-7392
Instruments to evaluate frailty, sarcopenia, and nutritional status
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| Frailty assessment | Liver Frailty Index (LFI) | Specifically designed for patients with cirrhosis to measure physical function objectively using handgrip strength, chair stands, and balancing postures. | Intraclass correlation coefficient: 0.93 (95% CI: 0.91-0.95) | Wang C. et al. The range and reproducibility of the liver frailty index. Liver Transpl. 2019. 25(6): 841-847. |
| Fried Frailty Index | Uses measurements of weight loss, exhaustion, walk speed, handgrip strength, activity level to predict incidence of falls, worsening mobility, hospitalization, and death | Feasibility: 91% | Van Jacobs A. Frailty assessment in patients with liver cirrhosis. Clinical Liver Disease. 2019. 14(3): 121-125. | |
| Clinical Frailty Scale (CFS) | Uses clinical judgement to evaluate comorbidity, function, and cognition to determine a frailty score ranging from 1 (very fit) to 9 (terminally ill) | Feasibility 91% | Church S et al. A scoping review of the clinical frailty scale. BMC Geriatrics. 2020. 20(393). | |
| Short Physical Performance Battery (SPPB) | Uses assessment of balance, timed walking, and timed chair stands | Reliability: 0.87 (95% CI: 0.77-0.96) | Fernando Gomez J et al. Validity and reliability of the Short Physical Performance Battery (SPPB). Colomb Med (Cali). 2013. 44(3): 165-171. | |
| Duke Activity Status Index (DASI) | 12-item questionnaire that measures perceived functional capacity | Sensitivity: 76%, specificity: 25% | Tandon P, Ismond KP, Riess K, et al. Exercise in cirrhosis: Translating evidence and experience to practice. Journal of Hepatology 2018 vol.69;1164-1177. | |
| 4-m Gait Speed | Basic test of function prior to exercise initiation, duration <1 m, independently associated with hospitalization when adjusting for MELD and Child-Pugh score | Sensitivity 80%, specificity 89% | Tandon P, Ismond KP, Riess K, et al. Exercise in cirrhosis: Translating evidence and experience to practice. Journal of Hepatology 2018 vol.69;1164-1177. | |
| Cardiopulmonary Exercise Testing (CPET) | Objective test measuring oxygen consumption and carbon dioxide output, independent predictor of pre- and post-transplant mortality | Sensitivity 75%, specificity 40% | Tandon P, Ismond KP, Riess K, et al. Exercise in cirrhosis: Translating evidence and experience to practice. Journal of Hepatology 2018 vol.69;1164-1177. | |
| Measurement of sarcopenia | Dual-energy | Assesses and quantifies fat and lean mass, and bone mineral content | Reliability: 0.94 in whole body, 0.91 in leg region | Guglielmi G, et al. The role of DXA in sarcopenia. Aging Clin Exp Resp. 2016. 28(6): 1047-1060. |
| Bioelectrical Impedance Analysis (BIA) | Uses calibration equation and references such as DXA, CT, or MRI. | Correlation coefficient: 0.944 (men), 0.903 (women) | Alexio G, et al. Bioelectrical impedance analysis for the assessment of sarcopenia in patients with cancer: A systematic review. Oncologist. 2020. 25(2): 170-182. | |
| Computed tomography (CT) | May be used to measure cross-sectional area of lumbar skeletal muscle to illustrate difference between muscle and fat. | Error of lean muscle mass estimate: <8.5% | Giusto M, et al. Sarcopenia in liver cirrhosis: The role of computed tomography scan for the assessment of muscle mass compared with dual-energy X-ray absorptiometry and anthropometry. Eur J Gastroenterol Hepatol. 2015. | |
| Magnetic resonance imaging (MRI) | Creates detailed images of tissues and organs in the body using a magnetic field and computer-generated radio wave. Cross sectional imaging that measures fibrosis, atrophy, edema, fatty infiltration, and muscle inflammation. | Error of lean muscle mass estimate: 6-8.5% | Lee K, et al. Recent issues on body composition imaging for sarcopenia evaluation. Korean J Radiol. 2019. 20(2): 205-217. | |
| Nutritional status assessment | Subjective global assessment (SGA) | Assesses nutritional status using objective and subjective data. Determines if a patient is well nourished or at risk, moderately malnourished, or severely malnourished. | Kappa: 0.78, CI: 0.624-0.944, p<0.001 | Kumar S, et al. Nutritional status using subjective global assessment independently predicts outcome of patients waiting for living donor liver transplant. Indian J Gastroenterol. 2017. 36(4): 275-281. |
| Royal Free Hospital Nutritional Prioritizing Tool (RFH-NPT) | Used to identify malnutrition risk. | Sensitivity: 64.8%, specificity: 60% | Wu Y, et al. Royal Free Hospital-Nutritional Prioritizing Tool improves the prediction of malnutrition risk outcomes in liver cirrhosis patients compared with Nutritional Risk Screening 2002. Br J Nutr. 2020. 124(12): 1293-1302. | |
| Nutritional Risk Screening 2002 (NRS-2002) | Used in inpatient setting to screen for patients who would benefit from nutrition therapy. | Sensitivity: 52.4%, specificity: 70% | Wu Y, et al. Royal Free Hospital-Nutritional Prioritizing Tool improves the prediction of malnutrition risk outcomes in liver cirrhosis patients compared with Nutritional Risk Screening 2002. Br J Nutr. 2020. 124(12): 1293-1302. |
CI: Confidence interval; MELD: Model for End-Stage Liver Disease.
Figure 1.Pre-liver transplant frailty treatment algorithm.
ASPEN: American Society for Parenteral and Enteral Nutrition; PT: Physical therapy; RD: Registered dietician.