Otaki Yoichiro, Takahashi Hiroki, Watanabe Tetsu, Yamaura Gensai, Funayama Akira, Arimoto Takanori, Shishido Tetsuro, Miyamoto Takuya, Kubota Isao
Department of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine.
Circ J. 2015;79(11):2480-6. doi: 10.1253/circj.CJ-15-0762. Epub 2015 Sep 8.
Kidney dysfunction is reportedly associated with adverse outcome in patients with peripheral artery disease (PAD). Estimated glomerular filtration rate (eGFR), a recently popularized index for assessing kidney function, is calculated using serum creatinine or cystatin C. Compared with creatinine-based eGFR (eGFRcr), cystatin C-based eGFR (eGFRcys) is less affected by age, gender, and muscle mass. We hypothesized that eGFRcys is a feasible prognostic biomarker despite muscle sarcopenia in patients with PAD.
We calculated both eGFRcr and eGFRcys according to the Kidney Disease: Improving Global Outcomes (KDIGO) guideline in 234 PAD patients who underwent endovascular therapy. Patients were prospectively followed during a median follow-up period of 964 days for the endpoint of major adverse cardiovascular and cerebrovascular events (MACCE). On multivariate Cox proportional hazard analysis eGFRcys, but not eGFRcr, was an independent predictor of MACCE. The C index was larger for eGFRcys than eGFRcr (0.69 vs. 0.57, P=0.0006). On Kaplan-Meier analysis the incidence of MACCE was increased with advancing chronic kidney disease stage based on eGFRcys, but not on eGFRcr, in patients with PAD. Net reclassification index was improved with the addition of eGFRcys to basic predictors.
Compared with eGFRcr, eGFRcys may be a more reliable biomarker for MACCE and patient risk stratification.
据报道,肾功能不全与外周动脉疾病(PAD)患者的不良预后相关。估算肾小球滤过率(eGFR)是一种最近普及的评估肾功能的指标,通过血清肌酐或胱抑素C来计算。与基于肌酐的eGFR(eGFRcr)相比,基于胱抑素C的eGFR(eGFRcys)受年龄、性别和肌肉量的影响较小。我们假设,尽管PAD患者存在肌肉减少症,但eGFRcys仍是一种可行的预后生物标志物。
我们根据改善全球肾脏病预后组织(KDIGO)指南,对234例接受血管内治疗的PAD患者计算了eGFRcr和eGFRcys。对患者进行前瞻性随访,中位随访期为964天,观察主要不良心血管和脑血管事件(MACCE)终点。在多变量Cox比例风险分析中,eGFRcys而非eGFRcr是MACCE的独立预测因子。eGFRcys的C指数大于eGFRcr(0.69对0.57,P=0.0006)。在Kaplan-Meier分析中,基于eGFRcys而非eGFRcr,PAD患者中MACCE的发生率随慢性肾脏病阶段的进展而增加。在基本预测因子中加入eGFRcys可改善净重新分类指数。
与eGFRcr相比,eGFRcys可能是用于MACCE和患者风险分层的更可靠生物标志物。