Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK; National Institute for Health Research (NIHR) Oxford Biomedical Research Centre, Oxford, UK; professor of medical statistics, NIHR Oxford and Thames Valley Applied Research Collaborative, Oxford, UK.
Br J Gen Pract. 2021 Aug 26;71(710):e677-e684. doi: 10.3399/BJGP.2020.0940. Print 2021 Sep.
Monitoring is the mainstay of chronic kidney disease management in primary care; however, there is little evidence about the best way to do this.
To compare the effectiveness of estimated glomerular filtration rate (eGFR) derived from serum creatinine and serum cystatin C to predict renal function decline among those with a recent eGFR of 30-89 ml/min/1.73 m.
Observational cohort study in UK primary care.
Serum creatinine and serum cystatin C were both measured at seven study visits over 2 years in 750 patients aged ≥18 years with an eGFR of 30-89 ml/min/1.73 m within the previous year. The primary outcome was change in eGFR derived from serum creatinine or serum cystatin C between 6 and 24 months.
Average change in eGFR was 0.51 ml/min/1.73 m/year when estimated by serum creatinine and -2.35 ml/min/1.73 m/year when estimated by serum cystatin C. The c-statistic for predicting renal decline using serum creatininederived eGFR was 0.495 (95% confidence interval [CI] = 0.471 to 0.519). The equivalent c-statistic using serum cystatin C-derived eGFR was 0.497 (95% CI = 0.468 to 0.525). Similar results were obtained when restricting analyses to those aged ≥75 or <75 years, or with eGFR ≥60 ml/min/1.73 m. In those with eGFR <60 ml/min/1.73 m, serum cystatin C-derived eGFR was more predictive than serum creatinine-derived eGFR for future decline in kidney function.
In the primary analysis neither eGFR estimated from serum creatinine nor from serum cystatin C predicted future change in kidney function, partly due to small changes during 2 years. In some secondary analyses there was a suggestion that serum cystatin C was a more useful biomarker to estimate eGFR, especially in those with a baseline eGFR <60 ml/min/1.73 m.
监测是基层医疗中慢性肾脏病管理的主要手段;然而,关于最佳监测方式的证据很少。
比较基于血清肌酐和血清胱抑素 C 的估算肾小球滤过率 (eGFR) 预测近期 eGFR 为 30-89ml/min/1.73m 患者肾功能下降的效果。
英国基层医疗的观察性队列研究。
在过去一年中,750 名年龄≥18 岁、eGFR 为 30-89ml/min/1.73m 的患者在 2 年内的 7 次就诊中均测量了血清肌酐和血清胱抑素 C。主要结局为 6-24 个月时血清肌酐或血清胱抑素 C 估算的 eGFR 变化。
血清肌酐估计的 eGFR 平均变化为 0.51ml/min/1.73m/年,血清胱抑素 C 估计的 eGFR 变化为-2.35ml/min/1.73m/年。使用血清肌酐衍生 eGFR 预测肾脏下降的 c 统计量为 0.495(95%置信区间[CI] = 0.471 至 0.519)。使用血清胱抑素 C 衍生 eGFR 的等效 c 统计量为 0.497(95%CI = 0.468 至 0.525)。当将分析限于年龄≥75 岁或<75 岁或 eGFR≥60ml/min/1.73m 的患者时,得到了相似的结果。在 eGFR<60ml/min/1.73m 的患者中,血清胱抑素 C 衍生 eGFR 比血清肌酐衍生 eGFR 更能预测肾功能的未来下降。
在主要分析中,血清肌酐或血清胱抑素 C 估计的 eGFR 均不能预测未来的肾功能变化,部分原因是在 2 年内变化较小。在一些次要分析中,血清胱抑素 C 是估计 eGFR 的更有用的生物标志物,尤其是在基线 eGFR<60ml/min/1.73m 的患者中。