关键词: CKD-EPI COMPASS beta-2-microglobulin chronic kidney disease cystatin C diabetes glomerular filtration rate equation kidney function biomarkers serum creatinine

来  源:   DOI:10.1101/2024.06.10.24308724   PDF(Pubmed)

Abstract:
UNASSIGNED: The NKF-ASN Task Force recommends accurate kidney function estimation avoiding biases through racial adjustments. We explored the use of multiple kidney function biomarkers and hence estimated glomerular filtration rate (eGFR) equations to improve kidney function calculations in an ethnically diverse patient population.
UNASSIGNED: Prospective community cohort study.
UNASSIGNED: rural New Mexico clinic with patients > 18 yo.
UNASSIGNED: Markers of kidney function, IDMS-Creatinine (SCr), chemiluminescence Beta-2 Microglobulin (B2M), Nephelometry-calibrated ELISA Cystatin C (CysC), inflammation, glucose tolerance, demographics, BUN/UACR from the baseline visit of the COMPASS cohort, were analyzed by Kernel-based Virtual Machine learning methods.
UNASSIGNED: Among 205 participants, the mean age was 50.1, 62% were female, 54.1% Hispanic American and 30.2% Native American. Average kidney function biomarkers were: SCr 0.9 mg/dl, B2M 1.8 mg/L, and CysC 0.7 mg/dl. The highest agreement was observed between SCr and B2M-based eGFR equations [mean difference in eGFRs: (4.48 ml/min/1.73m2], and the lowest agreement between B2M and CysC-based eGFR equations (-24.75 ml/min/1.73m2). There was no pattern of association between the differences in eGFR measures and gender. In the continuous analyses, the absolute eGFR value (p<2 x 10-16) and serum albumin (p =6.4 x 10-5) predicted the difference between B2M- and SCr-based e-GFR. The absolute eGFR value (p<2 x 10-16) and age (p =7.6 x 10-5) predicted the difference between CysC- and SCr-based e-GFR.
UNASSIGNED: Relatively small sample size, elevated inflammatory state in majority of study participants and no inulin excretion rate measurements.
UNASSIGNED: B2M should be strongly considered as a kidney function biomarker fulfilling the criteria for the NKF-ASN. B2M\'s eGFR equation does not need adjustment for gender or race and showed the highest agreement with SCr-based eGFR equations.
摘要:
NKF-ASN工作组建议准确评估肾功能,避免通过种族调整产生偏差。我们探索了多种肾功能生物标志物的使用,并因此估计了肾小球滤过率(eGFR)方程,以改善种族不同患者人群的肾功能计算。
前瞻性社区队列研究。
新墨西哥州农村诊所患者>18哟。
肾功能标志物,IDMS-肌酐(SCr),化学发光β-2微球蛋白(B2M),比浊法校准的ELISA胱抑素C(CysC),炎症,葡萄糖耐量,人口统计,COMPASS队列基线访视的BUN/UACR,通过基于内核的虚拟机学习方法进行了分析。
在205名参与者中,平均年龄为50.1岁,62%为女性,54.1%的西班牙裔美国人和30.2%的美洲原住民。平均肾功能生物标志物为:SCr0.9mg/dl,B2M1.8mg/L,和CysC为0.7mg/dl。在SCr和基于B2M的eGFR方程之间观察到最高的一致性[eGFR的平均差:(4.48ml/min/1.73m2],B2M和基于CysC的eGFR方程之间的最低一致性(-24.75ml/min/1.73m2)。eGFR测量的差异与性别之间没有关联模式。在连续分析中,绝对eGFR值(p<2×10-16)和血清白蛋白(p=6.4×10-5)预测了基于B2M和SCr的e-GFR之间的差异。绝对eGFR值(p<2×10-16)和年龄(p=7.6×10-5)预测了基于CysC-和基于SCr的e-GFR之间的差异。
样本量相对较小,大多数研究参与者的炎症状态升高,没有菊粉排泄率测量。
B2M应被强烈视为满足NKF-ASN标准的肾功能生物标志物。B2M的eGFR方程不需要根据性别或种族进行调整,并且与基于SCr的eGFR方程具有最高的一致性。
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