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血液透析患者体力活动能量消耗的决定因素。

Determinants of active energy expenditure in haemodialysis patients.

机构信息

Department of Nephrology, Royal Free Hospital, University College London, London, UK.

University of Hertfordshire, Hatfield, UK.

出版信息

Clin Physiol Funct Imaging. 2022 Sep;42(5):303-307. doi: 10.1111/cpf.12761. Epub 2022 May 25.

Abstract

BACKGROUND

Less active haemodialysis patients have an increased risk of mortality. We wished to determine which factors were associated with active energy expenditure (AEE).

METHODS

We used the validated recent physical activity questionnaire to determine AEE and estimated dietary protein intake and creatinine generation rates. We measured extracellular and total body water ratio (ECW/TBW) and appendicular lean muscle with bioimpedance and arm strength by hand grip strength (HGS). Patients were graded using the Charlson co-morbidity and the Clinical Frailty Score (CFS).

RESULTS

AEE was calculated in 98 patients (64 male), mean age 62.1 ± 15.5 years, and AEE was negatively associated with CFS (r = -0.48), ECW/TBW (r = -0.47) and age (r = -0.4), all p < 0.001, Charlson co-morbidity score (-0.27, p = 0.007), and positively with serum creatinine (r = 0.38, p < 0.010), and HGS (r = 0.25, p = 0.016). Although protein nitrogen accumulation and creatinine generation were associated with resting energy expenditure (r = 0.70 and r = 0.44 respectively, both p < 0.0001), neither were associated with AEE. On multivariable analysis only CFS remained independently associated with AEE (β = -0.031, 95% limits: -0.057 to -0.004, p = 0.024), although both age (negative p = 0.07), and ALM (positive p = 0.081) were retained in the model.

CONCLUSIONS

We found that AEE was lower with increasing frailty, age, loss of cell mass, co-morbidity and inflammation, and greater AEE in patients with higher serum creatinine and albumin, and greater muscle strength on univariate analysis, but only frailty remained independently associated on multivariable analysis. Whether exercise programmes designed to increase AEE in haemodialysis patients can improve frailty scores, and so reduce mortality risk reman to be determined.

摘要

背景

活动量较少的血液透析患者的死亡率较高。我们希望确定哪些因素与主动能量消耗(AEE)有关。

方法

我们使用经过验证的近期体力活动问卷来确定 AEE,并估计饮食蛋白摄入量和肌酐生成率。我们使用生物阻抗法测量细胞外液和总体水比值(ECW/TBW)和四肢瘦肌肉量,并通过手握力(HGS)测量手臂力量。患者使用 Charlson 合并症评分和临床虚弱评分(CFS)进行分级。

结果

我们计算了 98 名患者(64 名男性)的 AEE,平均年龄为 62.1±15.5 岁,AEE 与 CFS(r=-0.48)、ECW/TBW(r=-0.47)和年龄(r=-0.4)呈负相关,所有 p 值均<0.001,Charlson 合并症评分(-0.27,p=0.007),与血清肌酐呈正相关(r=0.38,p<0.010),与 HGS 呈正相关(r=0.25,p=0.016)。尽管蛋白氮积累和肌酐生成与静息能量消耗相关(r 分别为 0.70 和 0.44,两者均 p<0.0001),但两者均与 AEE 无关。多变量分析仅发现 CFS 与 AEE 独立相关(β=-0.031,95%可信区间:-0.057 至-0.004,p=0.024),尽管年龄(负相关,p=0.07)和四肢瘦肌肉量(正相关,p=0.081)在模型中保留。

结论

我们发现,在单变量分析中,随着虚弱程度、年龄、细胞质量损失、合并症和炎症的增加,AEE 降低,血清肌酐和白蛋白较高的患者 AEE 较高,肌肉力量较大的患者 AEE 较高,但仅虚弱程度在多变量分析中独立相关。旨在增加血液透析患者 AEE 的运动方案是否可以改善虚弱评分,从而降低死亡率,这仍有待确定。

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