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A Sarcopenia Index Derived from Malnutrition Parameters in Elderly Haemodialysis Patients

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Journal Nutrients
Date 2023 Mar 11
PMID 36904114
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Abstract

(1) Background: Persons with chronic kidney disease may have sarcopenia characterized by the loss of muscle mass and loss of muscle strength. However, EWGSOP2 criteria to diagnose sarcopenia are technically challenging, especially in elderly persons on hemodialysis. Sarcopenia may be associated with malnutrition. We aimed at defining a sarcopenia index derived from malnutrition parameters for use in elderly haemodialysis patients. (2) Methods: A retrospective study of 60 patients aged 75 to 95 years treated with chronic hemodialysis was conducted. Anthropometric and analytical variables, EWGSOP2 sarcopenia criteria and other nutrition-related variables were collected. Binomial logistic regressions were used to define the combination of anthropometric and nutritional parameters that best predict moderate or severe sarcopenia according to EWGSOP2, and performance for moderate and severe sarcopenia was assessed by the area under the curve (AUC) of receiver operating characteristic (ROC) curves. (3) Results: The combination of loss of strength, loss of muscle mass and low physical performance correlated with malnutrition. We developed regression-equation-related nutrition criteria that predicted moderate sarcopenia (elderly hemodialysis sarcopenia index-moderate, EHSI-M) and severe sarcopenia (EHSI-S) diagnosed according to EWGSOP2 with an AUC of 0.80 and 0.866, respectively. (4) Conclusions: There is a close relationship between nutrition and sarcopenia. The EHSI may identify EWGSOP2-diagnosed sarcopenia from easily accessible anthropometric and nutritional parameters.

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References
1.
Vellas B, Fielding R, Bens C, Bernabei R, Cawthon P, Cederholm T . Implications of ICD-10 for Sarcopenia Clinical Practice and Clinical Trials: Report by the International Conference on Frailty and Sarcopenia Research Task Force. J Frailty Aging. 2018; 7(1):2-9. DOI: 10.14283/jfa.2017.30. View

2.
Gracia-Iguacel C, Gonzalez-Parra E, Mahillo I, Ortiz A . Criteria for classification of protein-energy wasting in dialysis patients: impact on prevalence. Br J Nutr. 2019; 121(11):1271-1278. DOI: 10.1017/S0007114519000400. View

3.
Bloom I, Shand C, Cooper C, Robinson S, Baird J . Diet Quality and Sarcopenia in Older Adults: A Systematic Review. Nutrients. 2018; 10(3). PMC: 5872726. DOI: 10.3390/nu10030308. View

4.
Goraya N, Simoni J, Jo C, Wesson D . A comparison of treating metabolic acidosis in CKD stage 4 hypertensive kidney disease with fruits and vegetables or sodium bicarbonate. Clin J Am Soc Nephrol. 2013; 8(3):371-81. PMC: 3586961. DOI: 10.2215/CJN.02430312. View

5.
Nishi H, Takemura K, Higashihara T, Inagi R . Uremic Sarcopenia: Clinical Evidence and Basic Experimental Approach. Nutrients. 2020; 12(6). PMC: 7353433. DOI: 10.3390/nu12061814. View