Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany; Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Munich, Germany.
Kidney Int. 2024 Oct;106(4):699-711. doi: 10.1016/j.kint.2024.06.024. Epub 2024 Jul 29.
Understanding normal aging of kidney function is pivotal to help distinguish individuals at particular risk for chronic kidney disease. Glomerular filtration rate (GFR) is typically estimated via serum creatinine (eGFRcrea) or cystatin C (eGFRcys). Since population-based age-group-specific reference values for eGFR and eGFR-decline are scarce, we aimed to provide such reference values from population-based data of a wide age range. In four German population-based cohorts (KORA-3, KORA-4, AugUR, DIACORE), participants underwent medical exams, interview, and blood draw up to five times within up to 25 years. We analyzed eGFRcrea and eGFRcys cross-sectionally and longitudinally (12,000 individuals, age 25-95 years). Cross-sectionally, we found age-group-specific eGFRcrea to decrease approximately linearly across the full age range, for eGFRcys up to the age of 60 years. Within age-groups, there was little difference by sex or diabetes status. Longitudinally, linear mixed models estimated an annual eGFRcrea decline of -0.80 [95% confidence interval -0.82, -0.77], -0.79 [-0.83, -0.76], and -1.20 mL/min/1.73m [-1.33, -1.08] for the general population, "healthy" individuals, or individuals with diabetes, respectively. Reference values for eGFR using cross-sectional data were shown as percentile curves for "healthy" individuals and for individuals with diabetes. Reference values for eGFR-decline using longitudinal data were presented as 95% prediction intervals for "healthy" individuals and for individuals with diabetes, obesity, and/or albuminuria. Thus, our results can help clinicians to judge eGFR values in individuals seen in clinical practice according to their age and to understand the expected range of annual eGFR-decline based on their risk profile.
了解肾脏功能的正常衰老对于帮助区分慢性肾脏病高危个体至关重要。肾小球滤过率(GFR)通常通过血清肌酐(eGFRcrea)或胱抑素 C(eGFRcys)来估计。由于缺乏基于人群的特定年龄组的 eGFR 和 eGFR 下降参考值,我们旨在从广泛年龄范围的基于人群的数据中提供这些参考值。在四个德国基于人群的队列(KORA-3、KORA-4、AugUR、DIACORE)中,参与者在长达 25 年内接受了多达五次的医学检查、访谈和血液采集。我们对 eGFRcrea 和 eGFRcys 进行了横断面和纵向分析(12000 人,年龄 25-95 岁)。在横截面上,我们发现 eGFRcrea 在整个年龄范围内呈特定年龄组的线性下降,对于 eGFRcys,其下降趋势持续到 60 岁。在年龄组内,性别或糖尿病状态差异很小。纵向分析中,线性混合模型估计一般人群、“健康”个体或糖尿病个体的 eGFRcrea 年下降率分别为-0.80 [95%置信区间-0.82,-0.77]、-0.79 [-0.83,-0.76]和-1.20 mL/min/1.73m [-1.33,-1.08]。使用横断面数据的 eGFR 参考值显示为“健康”个体和糖尿病个体的百分位数曲线。使用纵向数据的 eGFR 下降参考值显示为“健康”个体和糖尿病个体、肥胖症个体和/或白蛋白尿个体的 95%预测区间。因此,我们的结果可以帮助临床医生根据患者的年龄判断在临床实践中看到的个体的 eGFR 值,并根据其风险状况了解预期的 eGFR 年下降幅度。