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血清中性粒细胞明胶酶相关脂质运载蛋白(NGAL)、脑钠肽(BNP)、甲状旁腺激素(PTH)和白蛋白并不能改善儿童肾小球滤过率估算公式。

Serum NGAL, BNP, PTH, and albumin do not improve glomerular filtration rate estimating formulas in children.

作者信息

Mouron-Hryciuk Julie, Cachat François, Parvex Paloma, Perneger Thomas, Chehade Hassib

机构信息

Women-Mother-Child Department, Pediatric Nephrology Division, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland.

Department of Pediatrics, Geneva University Hospital and University of Geneva, Geneva, Switzerland.

出版信息

Eur J Pediatr. 2021 Jul;180(7):2223-2228. doi: 10.1007/s00431-021-04019-w. Epub 2021 Mar 10.

Abstract

Glomerular filtration rate (GFR) is difficult to measure, and estimating formulas are notorious for lacking precision. This study aims to assess if the inclusion of additional biomarkers improves the performance of eGFR formulas. A hundred and sixteen children with renal diseases were enrolled. Data for age, weight, height, inulin clearance (iGFR), serum creatinine, cystatin C, neutrophil gelatinase-associated lipocalin (NGAL), parathyroid hormone (PTH), albumin, and brain natriuretic peptide (BNP) were collected. These variables were added to the revised and combined (serum creatinine and cystatin C) Schwartz formulas, and the quadratic and combined quadratic formulas. We calculated the adjusted r-square (r) in relation to iGFR and tested the improvement in variance explained by means of the likelihood ratio test. The combined Schwartz and the combined quadratic formulas yielded best results with an r of 0.676 and 0.730, respectively. The addition of BNP and PTH to the combined Schwartz and quadratic formulas improved the variance slightly. NGAL and albumin failed to improve the prediction of GFR further. These study results also confirm that the addition of cystatin C improves the performance of estimating GFR formulas, in particular the Schwartz formula.Conclusion: The addition of serum NGAL, BNP, PTH, and albumin to the combined Schwartz and quadratic formulas for estimating GFR did not improve GFR prediction in our population. What is Known: • Estimating glomerular filtration rate (GFR) formulas include serum creatinine and/or cystatin C but lack precision when compared to measured GFR. • The serum concentrations of some biological parameters such as neutrophil gelatinase-associated lipocalin (NGAL), parathyroid hormone (PTH), albumin, and brain natriuretic peptide (BNP) vary with the level of renal function. What is New: • The addition of BNP and PTH to the combined quadratic formula improved its performance only slightly. NGAL and albumin failed to improve the prediction of GFR further.

摘要

肾小球滤过率(GFR)难以测量,而估算公式因缺乏精确性而声名狼藉。本研究旨在评估添加额外的生物标志物是否能改善估算肾小球滤过率(eGFR)公式的性能。招募了116名患有肾脏疾病的儿童。收集了年龄、体重、身高、菊粉清除率(iGFR)、血清肌酐、胱抑素C、中性粒细胞明胶酶相关脂质运载蛋白(NGAL)、甲状旁腺激素(PTH)、白蛋白和脑钠肽(BNP)的数据。将这些变量添加到修订后的合并(血清肌酐和胱抑素C)施瓦茨公式、二次公式和合并二次公式中。我们计算了与iGFR相关的调整决定系数(r),并通过似然比检验来测试方差解释的改善情况。合并施瓦茨公式和合并二次公式分别产生了最佳结果,r值分别为0.676和0.730。将BNP和PTH添加到合并施瓦茨公式和二次公式中,方差略有改善。NGAL和白蛋白未能进一步改善GFR的预测。这些研究结果也证实,添加胱抑素C可改善估算GFR公式的性能,尤其是施瓦茨公式。结论:在估算GFR的合并施瓦茨公式和二次公式中添加血清NGAL、BNP、PTH和白蛋白,并未改善我们研究人群中GFR的预测。已知信息:•估算肾小球滤过率(GFR)的公式包括血清肌酐和/或胱抑素C,但与测量的GFR相比缺乏精确性。•一些生物学参数如中性粒细胞明胶酶相关脂质运载蛋白(NGAL)、甲状旁腺激素(PTH)、白蛋白和脑钠肽(BNP)的血清浓度会随肾功能水平而变化。新发现:•将BNP和PTH添加到合并二次公式中,其性能仅略有改善。NGAL和白蛋白未能进一步改善GFR的预测。

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