Nutrition, Federal University of Uberlândia (UFU), Medicine Faculty, Uberlândia, Brazil.
Department of Nutrition, Federal University of Lavras, Lavras, Brazil.
J Ren Nutr. 2022 Nov;32(6):739-743. doi: 10.1053/j.jrn.2022.01.014. Epub 2022 Feb 5.
The aim is to verify the association between nutritional status and muscle strength, considering handgrip strength (HGS) cutoffs associated with sarcopenia and mortality.
Cross-sectional analysis, including hemodialysis patients. Malnutrition Inflammation Score (MIS) was used to assess nutritional status. Muscle function was assessed by HGS, and the considered cutoffs were established by other studies. Cutoffs for sarcopenia diagnosis were 27 and 16 kg for males and females, respectively; cutoffs associated with mortality were 22 and 7 kg for males and females, respectively. Two binary logistic regression models were built, with HGS categorized according to the cutoff for sarcopenia and mortality as dependent variables.
Of the 218 patients who were included, 56.9% were male, the mean age was 58.3 years, and 44.7% diabetic; 132 patients (60.6%) had HGS <27 or 16 kg. Age, prevalence of diabetes, and MIS were higher, creatinine and albumin were lower in patients with HGS below these values; 77 patients (35.2%) had HGS <22 or 7 kg. Age, male, and diabetes prevalence, CRP and MIS were higher, midarm muscle circumference (MAMC), creatinine, albumin, and urea were lower in patients with HGS below these values. In the logistic regression MIS (OR 1.202; 95% CI 1.073-1.347; P < .01), age, male, diabetes, and MAMC were associated with the risk of HGS below the cutoffs for sarcopenia. MIS (OR 1.322; 95% CI 1.192-1.467; P < .01), age, male, and diabetes were associated with the risk of HGS below the cutoffs associated with mortality.
Worse nutritional status increases the risk of HGS below the cutoffs associated with sarcopenia and mortality in hemodialysis patients.
旨在验证营养状况与肌肉力量之间的关联,同时考虑与肌肉减少症和死亡率相关的握力强度(HGS)截断值。
本研究为横断面分析,纳入了血液透析患者。采用营养不良炎症评分(MIS)评估营养状况。通过 HGS 评估肌肉功能,参考其他研究确定了考虑的截断值。男性和女性肌肉减少症诊断的截断值分别为 27kg 和 16kg;与死亡率相关的截断值分别为男性和女性 22kg 和 7kg。建立了两个二元逻辑回归模型,以 HGS 作为因变量,根据肌肉减少症和死亡率的截断值进行分类。
共纳入 218 例患者,其中 56.9%为男性,平均年龄为 58.3 岁,44.7%为糖尿病患者;132 例(60.6%)患者的 HGS<27kg 或 16kg。与 HGS 值低于这些值的患者相比,年龄、糖尿病患病率以及 MIS 更高,而肌酐和白蛋白更低;77 例(35.2%)患者的 HGS<22kg 或 7kg。与 HGS 值低于这些值的患者相比,年龄、男性、糖尿病患病率、CRP 和 MIS 更高,而中臂肌肉周长(MAMC)、肌酐、白蛋白和尿素更低。在逻辑回归中,MIS(OR 1.202;95%CI 1.073-1.347;P<0.01)、年龄、男性、糖尿病和 MAMC 与 HGS 低于肌肉减少症截断值相关。MIS(OR 1.322;95%CI 1.192-1.467;P<0.01)、年龄、男性和糖尿病与 HGS 低于与死亡率相关的截断值相关。
较差的营养状况会增加血液透析患者 HGS 低于与肌肉减少症和死亡率相关的截断值的风险。