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与慢性肾脏病进展相关的因素。

Factors related with the progression of chronic kidney disease.

出版信息

Nefrologia. 2013;33(5):685-91. doi: 10.3265/Nefrologia.pre2013.May.11900.

Abstract

BACKGROUND

Our aims were to determine the rate of progression of chronic kidney disease (CKD) and to identify predictors, with particular emphasis on bone and mineral metabolism.

METHODS

Retrospective and observational study including 300 patients with advanced CKD (61.2% males, 33.1% diabetics; age 65.6±14 years). Mean follow-up time was 19.4±10.1 months. Baseline estimated glomerular filtration rate (eGFR) (MDRD-4) was 22.5±7.18 mL/min. To calculate the rate of decline in eGFR, we used the slope of the regression line between all determinations of eGFR and follow-up time. We calculated the mean values for proteinuria and serum phosphate, calcium, uric acid, and PTH, as well as 24-hour urinary excretion of urea nitrogen over time for each patient. Follow-up was at least 6 months and included at least 4 measurements of eGFR.

RESULTS

The mean rate of decline eGFR (-1.64 mL/min/1.73 m²/year) was inversely correlated with serum phosphate levels (4.3±2.1 mg/dL, P<.001), PTH (256.3±193.7 ng/L, p<.001) and proteinuria (0.84±1.31 g/day, P=.004) and directly correlated with mean serum calcium (P<.001) and the presence of hypertension (P<.02). However, only serum phosphate, serum PTH, and proteinuria persisted as predictors in the multivariate analysis. Stable-GFR patients (positive slope) were older (P=.041) and had lower serum phosphate and PTH levels (P<.01 and P<.01 respectively) and lower proteinuria (P<.01).

CONCLUSIONS

The rate of decrease in eGFR was correlated with serum phosphate and PTH levels and proteinuria. All of these factors can be modified with an adequate treatment.

摘要

背景

我们的目的是确定慢性肾脏病(CKD)的进展速度,并确定其预测因素,特别强调骨骼和矿物质代谢。

方法

这是一项回顾性和观察性研究,共纳入 300 名晚期 CKD 患者(61.2%为男性,33.1%为糖尿病患者;年龄 65.6±14 岁)。平均随访时间为 19.4±10.1 个月。基线估算肾小球滤过率(eGFR)(MDRD-4)为 22.5±7.18mL/min。为了计算 eGFR 的下降率,我们使用 eGFR 的所有测定值与随访时间之间的回归直线斜率。我们计算了每个患者的蛋白尿和血清磷酸盐、钙、尿酸和 PTH 的平均值,以及 24 小时尿尿素氮随时间的排泄量。随访时间至少为 6 个月,包括至少 4 次 eGFR 测量。

结果

eGFR 的平均下降率(-1.64mL/min/1.73m²/年)与血清磷酸盐水平(4.3±2.1mg/dL,P<.001)、PTH(256.3±193.7ng/L,p<.001)和蛋白尿(0.84±1.31g/天,P=.004)呈负相关,与平均血清钙(P<.001)和高血压(P<.02)呈正相关。然而,只有血清磷酸盐、血清 PTH 和蛋白尿在多变量分析中仍然是预测因素。稳定-GFR 患者(正斜率)年龄较大(P=.041),血清磷酸盐和 PTH 水平较低(分别为 P<.01 和 P<.01),蛋白尿较低(P<.01)。

结论

eGFR 的下降速度与血清磷酸盐和 PTH 水平以及蛋白尿有关。所有这些因素都可以通过适当的治疗来改变。

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