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血液透析患者营养不良的预测因素

Malnutrition predicting factors in hemodialysis patients.

作者信息

Jahromi Soodeh Razeghi, Hosseini Saeed, Razeghi Effat, Meysamie Ali pasha, Sadrzadeh Haleh

机构信息

Shefa Neuroscience Research Center, Tehran, Iran.

出版信息

Saudi J Kidney Dis Transpl. 2010 Sep;21(5):846-51.

Abstract

Malnutrition is a predictor of increased mortality in chronic hemodialysis (HD) patients. Various factors may contribute to malnutrition in these patients including energy and protein intake, inflammation, and comorbidity. To determine the importance of these factors in malnutrition of chronic HD patients, we studied 112 chronic HD patients in two centers was evaluated with the Dialysis Malnutrition Score (DMS) and anthropometric and biochemical indices. Seventy six (67.8%) patients were classified as malnourished. According to DMS score, poor protein intake (r= -0.34, P< 0.01), comorbidities (r= -0.24, P< 0.05), poor energy intake (r= - 0.18, P< 0.005), and inflammation (r= -0.16, P< 0.05) were significant predictors of malnutrition in descending order of importance. Multiple regression analysis showed that only poor protein intake was the explanatory variable of anthropometric measurements decline including body mass index, triceps skin fold thick-ness, mid arm circumference, mid arm muscle circumference, fat free mass, fat mass, albumin, creatinine and transferrine. None of the mentioned factors predicted the decrease of biochemical markers. We conclude that the frequency of malnutrition is high in our population and poor protein intake is the primary contributing factor for this condition. Therefore, providing enough protein may be a simple and effective way in preventing malnutrition in these patients.

摘要

营养不良是慢性血液透析(HD)患者死亡率增加的一个预测指标。多种因素可能导致这些患者出现营养不良,包括能量和蛋白质摄入、炎症及合并症。为确定这些因素在慢性HD患者营养不良中的重要性,我们在两个中心对112例慢性HD患者进行了研究,采用透析营养不良评分(DMS)以及人体测量和生化指标进行评估。76例(67.8%)患者被归类为营养不良。根据DMS评分,蛋白质摄入不足(r = -0.34,P < 0.01)、合并症(r = -0.24,P < 0.05)、能量摄入不足(r = -0.18,P < 0.005)和炎症(r = -0.16,P < 0.05)是营养不良的重要预测指标,按重要性从高到低排列。多元回归分析表明,只有蛋白质摄入不足是人体测量指标下降的解释变量,这些指标包括体重指数、三头肌皮褶厚度、上臂中部周长、上臂中部肌肉周长、去脂体重、脂肪量、白蛋白、肌酐和转铁蛋白。上述因素均不能预测生化指标的下降。我们得出结论,在我们的研究人群中营养不良发生率很高,蛋白质摄入不足是导致这种情况的主要因素。因此,提供足够的蛋白质可能是预防这些患者营养不良的一种简单而有效的方法。

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