Ramachandra Shalini S, Chiang Melody, Arbit Michael, Glenn Dorey A, Mariani Laura H, Zee Jarcy
Division of Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Divison of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Kidney Med. 2025 Apr 17;7(6):101010. doi: 10.1016/j.xkme.2025.101010. eCollection 2025 Jun.
RATIONALE & OBJECTIVE: Estimation of glomerular filtration rate (GFR) assumes that creatinine generation (crG) is relatively stable. This study identified factors associated with crG variability and its impact on serum creatinine changes ( Scr) among patients with glomerular disease.
An observational cohort study.
SETTING & PARTICIPANTS: Nephrotic Syndrome Study Network and Cure Glomerulonephropathy adult and pediatric participants with at least one crG measurement.
Potential predictors of crG levels included age, sex, disease diagnosis, weight status, estimated GFR (eGFR), urine protein, steroid use, and nonsteroid immunosuppressant use. crG change ( crG) was then used as an exposure to assess impacts on Scr.
crG levels and Scr.
The intraclass correlation coefficient illustrated crG variability within individuals. Multivariable linear mixed models identified factors associated with crG levels. Among those with 2+ crG measurements, multivariable linear mixed models estimated the association between crG and Scr.
Among 4,626 crG measurements from 1,081 participants, there was only moderate correlation between measurements within individuals (intraclass correlation coefficient = 0.517, 95% CI, 0.482-0.548) overall. For pediatric participants, factors significantly associated with crG included age, sex, weight status, and urine protein. Among adults, significant factors were age, sex, disease diagnosis, weight status, eGFR, steroid use, and nonsteroid immunosuppressant use.
The 24-hour urine collections may have collection error, measured GFR was unavailable, and edema status was unavailable.
crG was highly dynamic within individuals over time and varied with glomerular disease activity and treatments. The impact of crG on Scr -and subsequently on estimation of kidney function-is potentially large. Accounting for these changes or development of alternative kidney function measures are needed among glomerular disease patients.
肾小球滤过率(GFR)的估算假定肌酐生成(crG)相对稳定。本研究确定了肾小球疾病患者中与crG变异性相关的因素及其对血清肌酐变化(Scr)的影响。
一项观察性队列研究。
肾病综合征研究网络以及治愈肾小球肾炎的成年和儿科参与者,至少有一次crG测量值。
crG水平的潜在预测因素包括年龄、性别、疾病诊断、体重状况、估算肾小球滤过率(eGFR)、尿蛋白、类固醇使用情况以及非类固醇免疫抑制剂使用情况。然后将crG变化(ΔcrG)用作暴露因素,以评估其对Scr的影响。
crG水平和Scr。
组内相关系数说明了个体内crG的变异性。多变量线性混合模型确定了与crG水平相关的因素。在有2次及以上crG测量值的患者中,多变量线性混合模型估计了ΔcrG与Scr之间的关联。
在来自1081名参与者的4626次crG测量中,个体内测量值之间总体仅有中等程度的相关性(组内相关系数=0.517,95%CI,0.482 - 0.548)。对于儿科参与者,与crG显著相关的因素包括年龄、性别、体重状况和尿蛋白。在成年人中,显著因素为年龄、性别、疾病诊断、体重状况、eGFR、类固醇使用情况以及非类固醇免疫抑制剂使用情况。
24小时尿液收集可能存在收集误差,未获得测量的GFR,且未掌握水肿状态。
crG在个体内随时间高度动态变化,并随肾小球疾病活动和治疗而变化。ΔcrG对Scr以及随后对肾功能评估的影响可能很大。肾小球疾病患者需要考虑这些变化或开发替代的肾功能测量方法。