常染色体显性多囊肾病肾小球滤过率测量和估计的纵向评估:实际实践经验。

Juan M Fernandez, José C Rodriguez-Pérez, M Mercedes Lorenzo-Medina, Fancisco Rodriguez-Esparragon, Juan C Quevedo-Reina, Carmen R Hernandez-Socorro
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引用次数: 0

摘要

背景:估算肾小球滤过率(eGFR)的公式与较差的临床表现有关,其临床准确性和可靠性受到质疑。目的:探讨常染色体显性多囊肾病(ADPKD)患者肾小球滤过率(mGFR)的纵向变化。方法:对连续诊断为ADPKD的患者进行双视角数据库分析。通过碘己醇清除率评估mGFR;eGFR采用三种不同的计算公式:(1)慢性肾脏疾病流行病学合作(CKD-EPI);(2)肾病(MDRD)患者饮食调整;24小时尿肌酐清除率(CrCl)。主要终点是基线和最终访视之间mGFR的平均变化,以及mGFR的平均变化与不同公式估计的变化的比较。结果:37例患者纳入研究。与基线相比,第6个月mGFR显著降低-4.4 mL/min±10.3 mL/min (P = 0.0132)。然而,CKD-EPI、MDRD和CrCl公式分别低估了48.3%、89.0%和45.8%的变化,尽管这些差异都没有达到统计学意义(P = 0.3647;P = 0.0505;P = 0.736)。用CKD-EPI评估肾小球滤过率的测量值与估计值之间的差异(r = 0.29, P = 0.086);MDRD (r = 0.19, P = 0.272);CrCl (r = 0.09, P = 0.683)与基线mGFR值无关。结论:本研究表明eGFR不能准确反映mGFR的下降,不能可靠地跟踪随时间的变化。这对临床决策,特别是治疗策略提出了重大挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Longitudinal assessment of measured and estimated glomerular filtration-rate in autosomal dominant polycystic kidney disease: Real practice experience.

Background: Equations for estimation glomerular filtration rate (eGFR) have been associated with poor clinical performance and their clinical accuracy and reliability have been called into question.

Aim: To assess the longitudinal changes in measured glomerular filtration rate (mGFR) in patients with autosomal dominant polycystic kidney disease (ADPKD).

Methods: Analysis of an ambispective data base conducted on consecutive patients diagnosed with ADPKD. The mGFR was assessed by iohexol clearance; while eGFR was calculated by three different formulas: (1) The chronic kidney disease epidemiology collaboration (CKD-EPI); (2) Modification of diet in renal disease (MDRD); and (3) The 24-hour urine creatinine clearance (CrCl). The primary end-points were the mean change in mGFR between the baseline and final visit, as well as the comparison of the mean change in mGFR with the change estimated by the different formulas.

Results: Thirty-seven patients were included in the study. As compared to baseline, month-6 mGFR was significantly decrease by -4.4 mL/minute ± 10.3 mL/minute (P = 0.0132). However, the CKD-EPI, MDRD, and CrCl formulas underestimated this change by 48.3%, 89.0%, and 45.8% respectively, though none of these differences reached statistical significance (P = 0.3647; P = 0.0505; and P = 0.736, respectively). The discrepancies between measured and estimated glomerular filtration rate values, as evaluated by CKD-EPI (r = 0.29, P = 0.086); MDRD (r = 0.19, P = 0.272); and CrCl (r = 0.09, P = 0.683), were not correlated with baseline mGFR values.

Conclusion: This study indicated that eGFR inaccurately reflects the decline in mGFR and cannot reliably track changes over time. This poses significant challenges for clinical decision-making, particularly in treatment strategies.

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