通过人体成分分析比较老年和非老年血液透析患者的容量负荷和营养状况

    Comparison of capacity load and nutritional status of elderly and non-elderly hemodialysis patients by human body composition analysis

    • 摘要: 目的 评价老年和非老年维持性血液透析(MHD)患者的容量负荷和营养状况,并分析影响其液体超载和营养不良状况的相关危险因素。方法 选择MHD 患者 101 例,按年龄分为非老年组<65岁(n=51)和老年组≥65岁(n=50)两组。应用人体成分分析仪(body composition monitor,BCM)、实验室指标及营养不良-炎症评分(malnutrition-inflammation score,MIS)评估两组患者的容量负荷和营养状况,并分析可能引起液体超载和营养不良状况的相关危险因素,应用Logistic回归方程分析液体超载和营养不良发生的独立危险因素。结果 与非老年组MHD患者相比,老年组MHD患者白蛋白(P=0.006)、前白蛋白(P<0.01)、体细胞质量(P=0.03)、握力(P<0.05)均明显降低,细胞外液量(ECW)/总水量(TBW)显著增高(P<0.01),营养不良发病率显著高于非老年组(P=0.004)。在MHD患者中,ECW/TBW、MIS评分与年龄呈正相关(P<0.01),而握力(P<0.01)、体细胞质量(P<0.01)与年龄呈负相关。单因素分析表明,年龄(P<0.01)、握力(P<0.01)、体细胞质量(P<0.01)与ECW/TBW有关;年龄(P=0.001)、性别(P=0.010)、白蛋白(P=0.001)、前白蛋白(P<0.01)、握力(P<0.01)、体细胞质量(P=0.003)与MIS评分有关。在多变量分析中,体细胞质量 (P=0.001)的减少是增加ECW/TBW的独立危险因素,即影响液体超载的独立危险因素,而前白蛋白(P=0.029)是影响患者营养不良状况的独立危险因素。结论 与非老年组的MHD患者相比,老年组患者的体液超载和营养不良状况更为普遍。体细胞质量是引起MHD患者体液超载状况的独立危险因素,前白蛋白是MHD患者营养不良的独立危险因素,因此,由BCM评估的体细胞质量可能是评估老年MHD患者容量负荷状态的一种临床有用的方法。临床可应用BCM与实验室指标相结合的方法对MHD 患者的人体成分和营养状况进行实时监测。

       

      Abstract: Objective To evaluate the capacity load and nutritional status of elderly and non-elderly maintenance hemodialysis (MHD) patients, and to uncover the related risk factors leading to their fluid overload and malnutrition status. Methods 101 MHD patients were selected and divided into two groups by age:non-elderly group<65 years old (n=51) and the elderly group ≥ 65 years old (n=50). The body composition monitor (BCM), laboratory indicators and malnutrition-inflammation score (MIS) were used to evaluate the fluid load and nutritional status of the two groups, and the related risk factors probably causing fluid overload and malnutrition were analyzed. Logistic regression equation was used to analyze the independent risk factors of fluid overload and malnutrition. Results Compared with non-elderly MHD patients, the elderly patients had lower albumin (P=0.006), prealbumin (P<0.01) and body cell mass (P=0.03), and weaker grip strength (P<0.05). The ECW/TBW (P<0.01) and the incidence of malnutrition (P=0.004) were significantly higher in the elderly group than in non-elderly group. In MHD patients, ECW/TBW and MIS scores were positively correlated with age (P<0.01), while grip strength (P<0.01) and body cell mass (P<0.01) were negatively correlated with age. Single factor analysis showed that age (P<0.01), grip strength (P<0.01) and body cell mass (P<0.01) were correlated with ECW/TBW. Age (P=0.001), gender (P=0.010), albumin (P=0.01), prealbumin (P<0.01), grip strength (P<0.01) and body cell mass (P=0.003) were related to MIS score. The multivariate analyses results indicated that the decrease of body cell mass (P=0.001) was an independent risk factor for increasing ECW/TBW, suggesting body cell mass was an independent risk factor for fluid overload, and prealbumin (P=0.029) was an independent risk factor for malnutrition in MHD patients. Conclusions Compared with non-elderly MHD patients, fluid overload and malnutrition are more common in elderly MHD patients. Body cell mass is an independent risk factors for body fluid overload in MHD patients, while the prealbumin is an independent risk factor for malnutrition in MHD patients. Therefore, body cell mass assessed by BCM may be a clinically effective method to assess the capacity load status of elderly MHD patients. Clinical application of BCM combined with laboratory indicators can monitor the human body composition and nutritional status of MHD patients in real time.

       

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