稳定肾移植后患者的移植物功能和营养参数

Anita Saxena , R.K. Sharma , Amit Gupta
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引用次数: 2

摘要

生物阻抗分析(BIA)是一种评估营养状况的无创床边工具。预期肾移植成功的患者会有良好的营养摄入,逐渐恢复到正常的健康状态,营养状况良好。目的应用BIA评价同种异体肾移植术后移植肾功能对营养状况的影响。材料与方法本研究选择45例肾移植术后患者,平均血清肌酐1.42±0.42 mg%,肾小球滤过率(GFR) 45.1±14.1 ml/min进行生物阻抗分析。评估了几个参数。根据BIA衍生的GFR,将患者分为两组(1组:移植物边缘功能GFR <40 ml/min, X = 27.34±9.1 ml/min; 2组:移植物功能良好GFR≥40 ml/min, X = 51.60±9.16 ml/min)。将患者数据与30名健康个体进行比较。结果健康对照组与移植后患者血清血清素水平有显著性差异。以GFR为指标,两组患者体重(p = 0.01)、血清肌酐(p = 0.005)、BMI (p = 0.000)、无脂质量(p = 0.003)、脂肪质量(p = 0.003)、体细胞质量(p = 0.000)、干重(p = 0.001)差异均有统计学意义。边缘GFR患者血清肌酐较高,但体重、BMI、FFM、FM和干重明显较低,表明与移植物功能良好的患者相比,营养状况较差。基于相位角,A组与B组在GFR (p= 0.000)、细胞外水(p= 0.015)、细胞内水(p= 0.002)、血浆液(p= 0.016)、间质液(p= 0.016)、体细胞质量(p= 0.024)方面差异有统计学意义。SGA评分显示移植患者营养状况正常,但与健康个体相比,BIA评估的脂肪质量、无脂肪质量和体细胞质量存在显著差异。结论与移植物功能良好的患者相比,BIA检测到边缘性GFR患者有早期营养缺失的证据,这意味着营养缺乏开始伴随着GFR的降低(<40 ml/min),这可能无法通过主观整体评估检测到,但BIA可以客观检测到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graft function and nutritional parameters in stable post renal transplant patients

Bioelectrical Impedance Analysis (BIA) is a noninvasive and bedside tool for assessment of nutritional status. It is expected that patients who have undergone successful renal transplant will have good nutritional intake and steadily the patient will return to normal health and have good nutritional status.

Objective

The aim of the study was to evaluate effect of graft function on nutritional status in post renal transplant patients with borderline to good allograft function using BIA.

Material and methods

For this study, 45 post-renal transplant patients with mean serum creatinine 1.42 ± 0.42 mg% and glomerular filtration rate (GFR) 45.1 ± 14.1 ml/min were subjected to bioimpedance analysis. Several parameters were evaluated. Based on BIA derived GFR, patients were divided into two groups (group 1: borderline graft function GFR < 40 ml/min, X = 27.34 ± 9.1 ml/min and group 2: good graft function GFR ≥ 40 ml/min, X = 51.60 ± 9.16 ml/min). Patient data were compared with 30 healthy individuals.

Results

There was significant difference between healthy controls and the post transplant patients. Based on GFR, there was significant difference in patient groups in body weight (p = 0.01), serum creatinine (p = 0.005), BMI (p = 0.000), fat free mass (p = 0.003), fat mass (p = 0.003), body cell mass (p = 0.000), dry weight (p = 0.001). Patients with borderline GFR had higher serum creatinine but significantly lower body weight, BMI, FFM, FM, and dry weight, indicating poorer nutritional status as compared to those with good graft function. Based on phase angle, there was significant difference between groups A and B in GFR (p = 0.000), extracellular water (p = 0.015), intracellular water (p = 0.002), plasma fluid (p= 0.016), interstitial fluid (p = 0.016), body cell mass (p = 0.024). SGA scores showed that transplant patients had normal nutritional status, but when compared with healthy individuals, there was significant difference in the fat mass, fat free mass and body cell mass as assessed by BIA.

Conclusion

Compared to patients with good graft function, patients with borderline GFR showed evidence of early nutritional depletion as picked up by BIA implying nutritional deficiency sets in with reduction in GFR (<40 ml/min) which may not be picked up by subjective global assessment but is objectively detected by BIA.

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