Cystatin C versus Creatinine
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《血管与腔内血管外科杂志》2021年1月第7卷第1期Journal of Vascular and Endovascular Surgery Vol.7, No.1, Jan 2021静脉血栓栓塞症合并慢性肾脏疾病的抗凝治疗微循环专家共识中国微循环学会周围血管疾病专业委员会摘要:慢性肾脏疾病(CKD)患者静脉血栓栓塞症(VTE)的发生率、复发率及抗凝治疗后出血并发症的发生率均较高。
对于VTE合并CKD患者的抗凝治疗是临床面临的重大挑战。
为指导和规范VTE合并CKD患者的抗凝治疗,经多次讨论,基于现有的文献资料证据与专家临床经验总结,制定《静脉血栓栓塞症合并慢性肾脏疾病的抗凝治疗微循环专家共识》,内容包括VTE合并CKD的肾功能评价方法、VTE与CKD的相关性、抗凝药物种类、出血风险评估、抗凝剂相关性肾病、抗凝药物的选择、其他临床抗凝实践要点及展望等多方面,供临床参考。
关键词:慢性肾脏疾病;静脉血栓栓塞症;抗凝治疗中图分类号:R543 文献标志码:A doi: 10.19418/ki.issn2096-0646.2021.01.01 Microcirculation Expert Consensus for Anticoagulation Strategy in Patients with V enous Thromboembolism and Chronic Kidney DiseasePeripheral V ascular Disease Committee of Chinese Society of MicrocirculationAbstract: Patients with chronic kidney disease (CKD) have higher incidence and recurrence of venous thromboembolism (VTE), and higher bleeding complications after anticoagulation treatment. Anticoagulation treatment for patients with VTE and CKD is a major clinical challenge. In order to standardize the anticoagulant strategy for patients with VTE and CKD, based on the existing literature and clinical experience, the expert consensus on microcirculation expert consensus for anticoagulation strategy in patients with venous thromboembolism and chronic kidney disease was formulated, which includes the evaluation method of renal function, the correlation between VTE and CKD, the types of anticoagulant drugs, bleeding risk assessment, anticoagulant associated nephropathy, the selection of anticoagulant drugs, other practical points and prospects for clinical reference.Key words: chronic kidney disease; venous thromboembolism; anticoagulation treatment深静脉血栓形成(deep venous thrombosis,DVT)是常见的周围血管疾病,可能导致肺栓塞和(或)血栓后综合征,严重影响患者的生活质量和生命健康。
胱抑素C对对比剂肾病的预测价值张瑶;田祥;耿巍;张旗;甄利波;刘倩梅;杨颖;宋达【摘要】目的:探讨冠状动脉内应用对比剂后肌酐(SCr)及胱抑素 C(Cystatin C,CysC)水平的变化,评价 CysC对对比剂肾病(contrast induced nephropathy,CIN)的预测价值。
方法选择于我院进行冠状动脉造影和(或)介入治疗的冠心病患者,监测介入术前、术后1天、2天、3天 SCr 和 CysC 水平,采用MDRD 公式计算肾小球滤过率((eGFR))。
主要终点事件是 CIN 的发生。
结果共纳入384例患者,以 SCr 作为诊断标准,16例(4.17%)患者发生CIN。
介入术后第1天、第2天、第3天 CysC 浓度较术前升高(均 P <0.05)。
CysC 与 SCr 呈正相关(r =0.313,P<0.01),CysC 与 eGFR 呈负相关(r =-0.325,P <0.01)。
术后第2天CysC 诊断 CIN 的 ROC 曲线下面积为0.833(95% CI =0.744~0.992,P <0.01),优于术后第1天和术后第3天,最佳分界点为1.115 mg/L。
对术后第2天CysC 水平不同升高程度做 ROC 曲线,得出 ROC 曲线下面积为0.812(95% CI=0.802~0.822,P <0.01),最佳分界点为12.5%。
结论 CysC 能够较早的评估肾功能状态,是一个能够反应 CIN 的敏感指标;术后第2天 CysC 水平诊断 CIN 的准确性优于术后第1天和第3天,其升高≥12.5%可以作为诊断 CIN 的切点。
%ABSTRACT:Objective To evaluate of cystatin C (CysC)on the predictive value of contrast induced nephropathy (CIN)by comparing the changes of creatinine(SCr)and CysC after coronary arteriography (CAG).Methods Patients who underwent coronary angiography and/or percutaneous coronary intervention were enrolled.Serum creatinine and CysC were monitored before angiography,1 day,2 days,3 days after angiography.Glomerular filtration rate was estimated by MDRD.Theprimary end point was the incidence of CIN.Results A total of 384 patients were enrolled in this study,and 1 6 (4.1 7%)patients developed CIN according to the SCr criteria.Serum CysC was significantly higher at 1 day,2 days,3 days after angiography (P <0.05).The level of serum CysC was positively correlated with SCr level (r =0.313,P <0.01 ),but negatively correlated with eGFR (r = -0.325,P <0.01 ).The area under ROC curve at 2 days after angiography was 0.833(95% CI =0.744-0.992,P <0.01),better than 1 day and 3 days after angiography.The best cutoff point was 1.1 1 5 mg/L.The area under ROC curve of varying degrees at 2 days after angiography was 0.812(95% CI =0.802-0.822,P <0.01)and the best cutoff point was 12.5%.Conclusion As serum CysC could evaluate the renal function at early period,it could be a sensitive biomarker to evaluate induced CIN.The accuracy of diagnosis CIN in CysC level 2 days after CAG was higher than that 1 day and 3 days after CAG. Moreover,≥12.5% increase can be used as a cutoff point in CIN diagnosis.【期刊名称】《临床荟萃》【年(卷),期】2016(031)007【总页数】5页(P770-773,778)【关键词】急性肾损伤;造影剂;胱抑素 C【作者】张瑶;田祥;耿巍;张旗;甄利波;刘倩梅;杨颖;宋达【作者单位】承德医学院,河北承德 067000;保定市第一中心医院心内科,河北保定 071000;保定市第一中心医院心内科,河北保定 071000;保定市第一中心医院心内科,河北保定 071000;保定市第一中心医院心内科,河北保定 071000;保定市第一中心医院心内科,河北保定 071000;保定市第一中心医院心内科,河北保定 071000;保定市第一中心医院心内科,河北保定 071000【正文语种】中文【中图分类】R692·论著·随着医学增强影像及介入技术的发展,含碘对比剂在医疗诊断和治疗过程中的应用日益增加,对比剂所致的肾损伤亦受到广大临床医师的关注。
肾移植术后患者他克莫司血药浓度与血清胱抑素C的相关性及其对糖脂代谢的影响钟震帮;莫立乾;陈艳;郑萍;杨西晓【摘要】目的探讨肾移植术后患者服用他克莫司(FK506)后的血药浓度与血清胱抑素C(Cys C)的相关性及他克莫司对患者糖脂代谢的影响.方法收集2014年8月~2015年9月我院肾移植术后监测FK506血药浓度的325例随访患者,根据术后时间分为4组(术后1月组、术后1~3月组、术后4~6月组、术后7~12月组),记录术后定期复查时的FK506谷浓度,并同时记录当天肌酐、Cys C、空腹血糖以及血脂水平.结果 FK506血药浓度随着年龄的增长呈降低的趋势,且FK506血药浓度与Cys C呈显著正相关(r=0.985,P=0.015),与肌酐无相关性(r=0.259,P=0.741),而FK506对肾移植术后1~6月患者的血糖(5.53~5.59 mmol/L)、血脂(甘油三酯1.47~1.55 mmol/L、总胆固醇5.04~5.17 mmol/L、低密度脂蛋白胆固醇3.00~3.07 mmol/L、极低密度脂蛋白0.73~0.76 mmol/L)无影响.结论 FK506不影响肾移植术后患者糖脂代谢水平,FK506在得到更加准确合理的应用,有助于提高其在肾移植患者中治疗的有效性和安全性.%Objective To investigate the correlation between blood concentrations of tacrolimus (FK506) and cystatin C (Cys C) and the effect of FK506 on glycolipid metabolism in renal transplant recipients. Methods A total of 325 patients receiving renal transplantation between August, 2014 and September, 2015 in Nanfang Hospital were divided into 4 groups according to the postoperative time (1 month group, 1-3 months group, 4-6 months group, and 7-12 months group). FK506 blood trough concentration was measured at the time of postoperative follow-up, and creatinine (Scr) and Cys C levels were alsodetected. Results Plasma FK506 concentration decreased with age in the recipients and showed a positive correlation with Cys C (r=0.985, P=0.015) but no obvious correlation with Scr (r=0.259, P=0.741). FK506 had no effect on blood glucose (5.53-5.59 mmol/L) or blood lipids (TG 1.47-1.55 mmol/L, TC 5.04-5.17 mmol/L, LDL-C 3.00-3.07 mmol/L, and VLDL 0.73-0.76 mmol/L) in patients 1-6 months after renal transplantation. Conclusion FK506 does not affect the level of glycolipid metabolism in patients after renal transplantation. Cys C is positively related to blood concentration of FK506 in the renal transplantation recipients. The rational use of FK506 can improve the effectiveness and safety of the treatment in the recipients.【期刊名称】《南方医科大学学报》【年(卷),期】2017(037)006【总页数】4页(P817-820)【关键词】肾移植;他克莫司;血药浓度;胱抑素C;糖脂代谢【作者】钟震帮;莫立乾;陈艳;郑萍;杨西晓【作者单位】南方医科大学南方医院药学部,广东广州 510515;南方医科大学南方医院药学部,广东广州 510515;南方医科大学南方医院药学部,广东广州 510515;南方医科大学南方医院药学部,广东广州 510515;南方医科大学南方医院药学部,广东广州 510515【正文语种】中文他克莫司(FK506)是从链霉素的代谢产物中分离得到的一种大环内酯类强效免疫抑制剂,是器官移植术后防治排斥反应的一线药物[1]。
2020年12月 第17卷 第24期2型糖尿病(Type 2 Diabetes Mellitus,T2DM)是一种以胰岛素抵抗和/或胰岛素分泌减少导致的慢性高血糖为特征的严重代谢疾病[1-4],而T2DM 是慢性肾病的主要病因之一[5-9],T2DM患者即使不存在蛋白尿的情况下,其肾功能下降也增加了发生重大心血管不良事件和死亡的风险[10]。
强化葡萄糖控制不仅可以降低微量白蛋白尿和大量白蛋白尿的风险,还可以降低肾小球滤过率(Glomerular Filtration Rate,GFR)的下降率。
二肽酰肽酶-4(Dipeptidyl Peptidase-4,DPP-4)抑制剂能够通过抑制胰高血糖素样肽 1(Human Glucagon-like peptide-1, GLP-1)降解来改善血糖控制,且具有理想的安全性[10-14]。
同时,DPP-4抑制剂还可能具有减少蛋白尿的疗效[10]。
现以维格列汀等为例简述DPP-4抑制剂对T2DM肾功能保护作用的相关研究。
1 维格列汀保护肾功能的相关动物实验1.1 维格列汀对肝脏缺血再灌注后肾损伤的保护作用Sherif等[15]为考察维格列汀对肝和肾缺血再灌注动物模型是否具有肝肾保护作用,将Wistar雄性大鼠分为假手术组、缺血再灌注组和维格列汀+缺血再灌注组,后者以10 mg/kg腹腔注射维格列汀10 d。
除肾和肝组织样本外,血液样本还用于生化和组织病理学研究。
肝缺血再灌注组血清肌酐、血尿素氮、肝酶、肾组织一氧化氮、丙二醛、肿瘤坏死因子-α水平明显升高,转化生长因子-β(Transforming Growth Factor β,TGF-β)、Smad 2、Smad 3和α-平滑肌肌动蛋白(α-smooth Muscle Actin,α-SMA)表达明显升高,肾脏过氧化氢酶含量较假手术组明显降低。
缺血再灌注组肝、肾组织呈现病理学异常。
维格列汀显著改善了这些生化指标和组织病理学改变。
血清胱抑素C、β2-微球蛋白及肌酐在多发性骨髓瘤诊断中的价值苏显都;林榕;徐晓兰;孙京花;于莉;范长玲【期刊名称】《解放军医学院学报》【年(卷),期】2014(035)011【摘要】目的探讨血清胱抑素C(cystatin C,Cys-C)、β2-微球蛋白(β2-microglobulin,β2-MG)及肌酐(creatinine,Cr)在多发性骨髓瘤(multiple myeloma,MM)中的诊断意义.方法使用日立7600全自动生化分析仪检测2010年2月-2014年1月海南农垦那大医院及南方医院住院的43例初诊MM患者和30例健康体检者血清Cys-C、β2-MG、Cr、尿酸(uric acid,UA)及尿素的水平.应用受试工作特征曲线(receiver operating characteristic curve,ROC)评价Cys-C、β 2-MG和Cr在MM诊断中的价值.结果 MM患者Cys-C水平(2.06±0.82)mg/L明显高于健康对照组(0.71±0.18) mg/L(P<0.01);并且与β2-MG呈明显正相关(r=-0.523,P<0.05).Durie-Salmon分期中,Ⅲ期CysC水平(3.14± 1.38)mg/L明显高于Ⅱ期(1.35±0.16) mg/L和Ⅰ期(0.97±0.18) mg/L(P<0.01);Ⅲ期与Ⅰ期、Ⅱ期血清Cr和β2-MG水平比较差异有统计学意义(P<0.05).不同免疫分型中,轻链型血清Cys-C水平(2.75±1.01) mg/L明显高于不分泌型(1.49±0.53)mg/L(P<0.05);IgA型血清β2-MG水平(7.48±4.52) mg/L明显高于不分泌型(5.37±2.64) mg/L(P<0.05).ROC分析显示,CysC的曲线下的面积(area under curve,AUC)及其95%置信区间(0.912,95%CI:0.891~0.960)高于β2-MG(0.853,95%CI:0.821 ~ 0.894)和Cr(0.741,95%CI:0.702 ~ 0.795),差异有统计学意义(P<0.05).结论 Cys-C可以作为诊断MM患者肾功能早期损害的指标之一,且优于β2-MG和Cr,对临床分期、肿瘤负荷及判断预后有一定的帮助.【总页数】4页(P1126-1129)【作者】苏显都;林榕;徐晓兰;孙京花;于莉;范长玲【作者单位】海南省农垦那大医院检验科,海南那大571700;南方医科大学南方医院血液科,广东广州510515;南方医科大学南方医院血液科,广东广州510515;解放军总医院检验科,北京100853;海南省农垦那大医院检验科,海南那大571700;海南省农垦那大医院检验科,海南那大571700【正文语种】中文【中图分类】R733.3【相关文献】1.血清胱抑素C、β2-微球蛋白和尿微量蛋白/肌酐比值联合检测在早期2型糖尿病肾病诊断中的应用 [J], 郑莹莹;闫卫利2.血清胱抑素C、β2-微球蛋白、尿微量白蛋白/尿肌酐比值在高血压病患者早期肾损害诊断中的价值分析 [J], 常慧3.血清胱抑素C、肌酐及β2-微球蛋白联合检测在甲状腺功能失调中的应用价值分析 [J], 高燕4.血清胱抑素C、β2-微球蛋白及肌酐在多发性骨髓瘤诊断中的价值 [J], 苏显都;林榕;徐晓兰;孙京花;于莉;范长玲;5.血清胱抑素C、β2微球蛋白、肌酐在早期2型糖尿病肾损伤患者中的表达水平及其临床诊断价值 [J], 殷立奎;朱新兴;吴红光;孙学青因版权原因,仅展示原文概要,查看原文内容请购买。
血清胱抑素C联合尿微量白蛋白检测在糖尿病肾病早期诊断中的应用价值【摘要】目的:探讨血清胱抑素c(cys-c)和尿微量白蛋白(malb)联合检测在糖尿病早期肾损伤诊断中的应用价值。
方法:将研究对象分为糖尿病组(尿常规蛋白定性阴性)60例及健康对照组(阴性对照组)60例。
两组均取晨尿查尿微量白蛋白(malb)且空腹取血,用胶乳增强免疫比浊法测定血清胱抑素c、颗粒增强免疫抑制比浊法测定尿微量白蛋白,同时检测血清尿素(bun)和肌酐(scr)。
结果:各指标对肾功能早期病变的检出百分率总体为cys-c+malb>cys-c>malb>scr>bun。
糖尿病组(尿常规蛋白定性阴性)血清胱抑素c、尿微量白蛋白值均显著高于健康对照组(p11.1 mmol/l。
阴性对照组;选择同期本院体检中心60例健康体检者,排除肥胖、冠心病、糖尿病、严重的肝肾功能不全及继发性高血压。
其中男34例,女26例,年龄38~75岁,平均(56.5±18.5)岁,两组的年龄、性别及构成比差异无统计学意义(p>0.05)。
1.2 试剂和仪器尿微量白蛋白(malb)检测采用siemens生化仪dimension xpand plus,血清胱抑素c(cys-c),肌酐(scr)和尿素(bun)均采用奥林巴斯au-400全自动生化分析仪。
尿微量白蛋白(malb)采用美国siemens healthcare diagnostics inc厂家提供的尿微量白蛋白测定试剂盒。
血清胱抑素c(cys-c)采用宁波美康生物科技有限公司提供的胱氨酸蛋白酶抑制剂c检测试剂盒,均在有效期内按说明方法使用。
1.3 检测方法留取两组的晨尿,颗粒增强免疫抑制比浊法检测尿微量白蛋白,早晨抽取空腹静脉血3 m1分离血清,乳胶增强免疫比浊法检测scys-c,酶法检测bun和碱性苦味法测scr。
1.4 正常参考值范围 cys-c参考范围0.56~1.05 mg/l,malb参考范围0~20 mg/l,bun参考范围2.5~7.5 mmol/l,scr参考范围,男44~133 μmol/l,女44~120 μmol/l,超出范围为异常。
·97·D O C T O R2020年第21期血清胱抑素C和甲状旁腺激素以及肾功能三项在终末期肾病患者诊断中的临床价值周春萍 陈凯丽 缪亚梅(江苏省泰州市姜堰中医院,江苏泰州 225500)摘要:目的 分析血清胱抑素C 和甲状旁腺激素以及肾功能3项在终末期肾病(End-stage renal disease,ESRD)患者诊断中的临床价值。
方法 选取江苏省泰州市姜堰中医院2019年1月至2020年7月收治的早期肾病患者、终末期肾病患者和同期体检的健康人员作为本次研究对象,各32例。
分别设定为早期病组、终末期组和健康组。
检测3组患者的血清胱抑素C(CysC)、甲状旁腺激素(PTH)和血清尿素氮(BUN)、尿酸(UA)、肌酐(Cr)指标,并对比、分析各项指标在终末期肾病患者诊断中的临床价值。
结果 健康组的CysC、PTH、BUN 和CR 指标均<早期组<终末期组(P <0.05);终末期组和早期组的UA 指标明显高于健康组,差异有统计学意义(P <0.05);但终末期组和早期组的UA 指标对比差异无统计学意义(P >0.05)。
联合检测在早期组和终末组中的阳性检出率明显高于各个单项检测,差异有统计学意义(P <0.05);联合检测各项阳性检出率与健康组相比差异无统计学意义(P >0.05)。
结 论 CysC、PTH 和BUN、UA、Cr 指标在肾病患者和健康组患者比较均具有明显差异,各项指标联合检测具有较高阳性检出率,在终末期肾脏病临床诊断中具有较高应用价值。
关键词:血清胱抑素C;甲状旁腺激素;肾功能三项;终末期肾病Clinical Value of Serum Cystatin C ,Parathyroid Hormone and Renal Function in Patients with End-stage Renal DiseaseZHOU Chunping CHEN Kaili MIAO Yamei(Jiangyan Hospital of Traditional Chinese Medicine,Taizhou,Jiangsu 225500,China)Abstract:Objective To analyze the clinical value of serum cystatin C,parathyroid hormone and renal function in the diagnosis of end stage renal disease(ESRD). Methods The patients with early kidney disease,end-stage kidney disease and healthy personnel who received physical examination during the same period from January 2019 to July 2020 in Jiangyan Hospital of Traditional Chinese Medicine were selected as the subjects of this study,32 cases each. They were divided into the early disease group,the end-stage group and the healthy group. Serum cystatin C(CysC),parathyroid hormone(PTH)and serum urea nitrogen(BUN),uric acid(UA)and creatinine(Cr)were measured in 3 groups of patients,and the clinical value of each indicator in the diagnosis of end-stage renal disease was compared and analyzed.Results The CysC,PTH,bun and Cr indexes of non nephrotic group were all < early group < end stage group(P <0.05);UA index of end-stage group and early group was significantly higher than that of non nephropathy group,the difference was statistically significant(P <0.05),but there was no significant difference in UA index between end-stage group and early group(P >0.05). The positive detection rate of combined detection in early group and terminal group was significantly higher than that of single detection,and the difference was statistically significant(P <0.05);the positive detection rate of combined detection in non nephropathy group had no significant difference(P >0.05). Conclusion CysC,PTH and bun,UA,Cr indicators in patients with kidney disease and non kidney disease have significant differences,the combined detection of various indicators has a high positive detection rate,which has high application value in the clinical diagnosis of end-stage renal disease.Keywords:CysC;PTH;three items of renal function;end-stage renal disease作者简介:周春萍,本科,副主任技师,研究方向:生化和免疫。
3种CKD-EPI方程估算肾小球滤过率的比较张桂霞;蒋克国;袁亮;张晶晶;何衡杰;刘桂凌;郝丽;王德光【摘要】目的:评价联合肌酐和胱抑素C的慢性肾脏病流行病合作工作组( CKD-EPI)方程( CKD-EPIscr-cys方程)是否比单独基于血肌酐和单独基于胱抑素C的CKD-EPI方程(分别为CKD-EPIscr方程、CKD-EPIcys方程)更适合估算合肥地区慢性肾脏病( CKD )患者肾小球滤过率( GFR )。
方法收集CKD患者的人口学特征、临床资料、血胱抑素C值、血浆肌酐值和99 m Tc-DTPA肾动态显像资料,以99m Tc-DTPA肾动态显像法所测 GFR 为金标准,分别用 CKD-EPIscr方程、CKD-EPIcys方程和CKD-EPIscr-cys方程估算CKD患者GFR,比较3种方程估计偏差、精确性、准确性和估计值与标准值间的95%一致性。
结果与 CKD-EPIscr方程相比, CKD-EPIscr-cys方程估计偏差无改善,精确度、30%和50%准确性、95%一致性均提高;与CKD-EPIcys方程相比,CKD-EPIscr-cys方程降低了偏差,提高了精确度、15%和30%准确性、95%一致性。
结论 CKD-EPIscr-cys方程可能比单独基于肌酐和单独基于胱抑素C的CKD-EPI方程更适用于评估合肥地区CKD患者GFR。
%Objective To evaluate whether the combined creatinine-cystatin C chronic kidney disease-epidemiology collaboration ( CKD-EPI) equation ( CKD-EPIscr-cys equation) could perform better than the CKD-EPI equation based on creatinine alone ( CKD-EPIscr equation) and the CKD-EPI equation based on cystatin C alone ( CKD-EPIcys equation) in estimating glomerular filtration rate ( GFR) in patients with chronic kidney disease ( CKD) from Hefei city. Methods Demographic, clinical characteristics, serum creatinine and serum cystatin C of CKD pa-tients were collected. GFR measured by dynamic renal imaging with 99m Tc-DTPA was used as the gold standard of GFR. GFR was estimated by CKD-EPIscr equation, CKD-EPIcys equation and CKD-EPIscr-cys equation. The bias, ac-curacy, precision and agreement were compared between CKD-EPIscr-cys equation and another two equations. Results Compared with CKD-EPIscr equation, CKD-EPIscr-cys equation had better agreement and greater 15% and 30% ac-curacy with the measured GFR;compared with CKD-EPIcys equation, CKD-EPIscr-cys equation had lower bias, better agreement and greater 30% and 50% accuracy. Conclusion The CKD-EPIscr-cys equation may be more suitable for estimation of GFR in patients with CKD from Hefei city.【期刊名称】《安徽医科大学学报》【年(卷),期】2015(000)001【总页数】4页(P66-69)【关键词】肾小球滤过率;慢性肾脏病;CKD-EPI方程;胱抑素C;肌酐【作者】张桂霞;蒋克国;袁亮;张晶晶;何衡杰;刘桂凌;郝丽;王德光【作者单位】安徽医科大学第二附属医院肾脏内科,合肥 230601;安徽医科大学第二附属医院肾脏内科,合肥 230601;安徽医科大学第二附属医院肾脏内科,合肥 230601;安徽医科大学第二附属医院肾脏内科,合肥 230601;安徽医科大学第二附属医院肾脏内科,合肥 230601;安徽医科大学第二附属医院肾脏内科,合肥230601;安徽医科大学第二附属医院肾脏内科,合肥 230601;安徽医科大学第二附属医院肾脏内科,合肥 230601【正文语种】中文【中图分类】R692肾小球滤过率(glomerular filtration rate,GFR)是评估肾脏功能的最佳指标,被美国肾脏病基金会K/DOQI推荐为定义、分期、筛查和监测慢性肾脏病的最重要依据[1]。
半胱氨酸蛋白酶抑制剂C与β2-微球蛋白对检测糖尿病肾病的临床意义【摘要】目的:探讨血清半胱氨酸蛋白酶抑制剂c(cystatin c)、β2-微球蛋白(β2-mg)、血清肌酐(scr)、血尿素氮(bun)、内生肌酐清除率(ccr)对检测糖尿病肾病(dn)的意义。
方法:对200例糖尿病肾病患者和100例正常人进行cysc、β2-mg、scr、bun、ccr 测定,血清cysc和β2-mg采用免疫投射比浊法测定,scr采用酶速率终点法测定,bun脲酶采用终点法。
结果:200例dn患者,各期cysc、β2-mgd、scr、bun、ccr与对照组比较差异均有统计学意义(p0.05),cysc、β2-mg已上升且与正常对照组比较差异有统计学意义(p<0.05),b组、c组、d组血清bun、scr、cysc、β2-mg 与正常对照组比较差异均有统计学意义(p<0.05),见表1。
表1各组scr、bun、β2-mg、cysc结果比较组别例数(例) scr(mmol/l) bun(mmol/l) β2-mg (mg/l) cysc(mg/l)对照组 100 64.3±12.6 5.71±1.46 1.52±0.58 1.05±0.58a组94 76.3±22.1 6.53±2.66 3.48±3.42* 1.92±0.46* b组56 196.0±54.5△12.93±4.87△ 6.34±3.25△3.11±1.62△c组25 481.6±42.2△22.54±10.56△ 21.20±4.50△3.88±1.47△d组25 673.3±126.8△ 24.50±11.32△ 24.10±4.70△6.11±1.51△*与对照组比较,p<0.05;△与对照组比较,p<0.012.2不同组内血清bun、scr、cysc、β2-mg的异常率结果见表2。
2021年5月第10期中外女性健康研究技术应用文章编号:WHR202005199血清胱抑素C、视黄醇结合蛋白与尿微量白蛋白/肌酐 诊断2型糖尿病早期肾功能损伤的价值赵欢金凤龚永湖北省十堰市中西医结合医院,湖北十堰442000【摘要】目的:探讨血清胱抑素C(CysC)、视黄醇结合蛋白(RBP)以及尿微量白蛋白/肌酐(mAlb/Cr)在2型糖尿病(T2DM)患者早期肾功能损伤诊断中的应用价值。
方法:选取2016年8月至2018年8月本院收治的T2DM患者128例作为研究对象,分为正常尿蛋白排出组(UAER V20|g/min)30例、微量尿蛋白排出组(20咫/min^UAER V200p,g/min)44例与大量尿蛋白排出组(UAER》200p.g/min)54例,另选50例同期在本院进行体检的健康志愿者作为对照组。
记录并比较四组研究对象CysC、RBP及mAlb/Cr水平,并分析CysC、RBP及mAlb/Cr单项及联合检测T2DM早期肾功能损伤的准确性。
结果:四组研究对象CysC、RBP及mAlb/Cr 水平相比较差异明显,均具有统计学意义(P V0.05);正常尿蛋白排出组、微量尿蛋白排出组以及大量尿蛋白排出组CysC、RBP及mAlb/Cr水平随尿蛋白排泄率的升高而升高,均明显高于对照组,均具有统计学意义(P V0.05)。
对照组、正常尿蛋白排出组、微量尿蛋白排出组以及大量尿蛋白排出组的单项及联合检测阳性检出率之间比较差异明显,均具有统计学意义(P V0.05);各组CysC+ RBP+mAlb/Cr联合检测阳性检出率均分别明显高于CysC、RBP及mAlb/Cr单项检测,均具有统计学意义(P V0.05)。
CysC十RBP 十mAlb/Cr联合检测敏感性93.75%、特异性95.84%以及诊断符合率97.29%分别明显高于CysC、RBP、mAlb/Cr单项检测,均具有统计学意义(P V0.05)。
T h e ne w engl a nd jour na l o f medicinen engl j med 369;10 september 5, 2013932Cystatin C versus Creatinine in DeterminingRisk Based on Kidney FunctionMichael G. Shlipak, M.D., M.P.H., Kunihiro Matsushita, M.D., Ph.D., Johan Ärnlöv, M.D., Ph.D., Lesley A. Inker, M.D., Ronit Katz, D.Phil.,Kevan R. Polkinghorne, F.R.A.C.P., M.Clin.Epi., Ph.D., Dietrich Rothenbacher, M.D., M.P.H., Mark J. Sarnak, M.D.,Brad C. Astor, Ph.D., M.P.H., Josef Coresh, M.D., Ph.D., Andrew S. Levey, M.D., and Ron T. Gansevoort, M.D., Ph.D., for the CKD Prognosis Consortium*The authors’ affiliations are listed in the Appendix. Address reprint requests to Dr. Coresh at the Chronic Kidney Disease Prognosis Consortium Data Coordinating Center, 615 N. Wolfe St., Baltimore, MD 21205, or at ckdpc@.* A complete list of members of the Chronic Kidney Disease (CKD) Prognosis Consortium is provided in the Supplementary Appendix, available at .N Engl J Med 2013;369:932-43.DOI: 10.1056/NEJMoa1214234Copyright © 2013 Massachusetts Medical Society.Abstr actBackgroundAdding the measurement of cystatin C to that of serum creatinine to determine the estimated glomerular filtration rate (eGFR) improves accuracy, but the effect on detection, staging, and risk classification of chronic kidney disease across diverse populations has not been determined.MethodsWe performed a meta-analysis of 11 general-population studies (with 90,750 par-ticipants) and 5 studies of cohorts with chronic kidney disease (2960 participants) for whom standardized measurements of serum creatinine and cystatin C were available. We compared the association of the eGFR, as calculated by the measure-ment of creatinine or cystatin C alone or in combination with creatinine, with the rates of death (13,202 deaths in 15 cohorts), death from cardiovascular causes (3471 in 12 cohorts), and end-stage renal disease (1654 cases in 7 cohorts) and as-sessed improvement in reclassification with the use of cystatin C.ResultsIn the general-population cohorts, the prevalence of an eGFR of less than 60 ml per minute per 1.73 m 2 of body-surface area was higher with the cystatin C–based eGFR than with the creatinine-based eGFR (13.7% vs. 9.7%). Across all eGFR cate-gories, the reclassification of the eGFR to a higher value with the measurement of cystatin C, as compared with creatinine, was associated with a reduced risk of all three study outcomes, and reclassification to a lower eGFR was associated with an increased risk. The net reclassification improvement with the measurement of cys-tatin C, as compared with creatinine, was 0.23 (95% confidence interval [CI], 0.18 to 0.28) for death and 0.10 (95% CI, 0.00 to 0.21) for end-stage renal disease. Re-sults were generally similar for the five cohorts with chronic kidney disease and when both creatinine and cystatin C were used to calculate the eGFR.ConclusionsThe use of cystatin C alone or in combination with creatinine strengthens the as-sociation between the eGFR and the risks of death and end-stage renal disease across diverse populations. (Funded by the National Kidney Foundation and others.)The New England Journal of MedicineDownloaded from at 301 HOSPITAL OF CHINESE PLA on March 13, 2014. For personal use only. No other uses without permission.Copyright © 2013 Massachusetts Medical Society. All rights reserved.Cystatin C vs. Creatinine to Determine Kidney Riskn engl j med 369;10 september 5, 2013933The estimated glomerular filtra-tion rate (eGFR) is the clinical standard for the assessment of kidney function.1-3 The eGFR thresholds for the definition and stag-ing of chronic kidney disease are based on risk,3 but measurement of creatinine to determine the eGFR has limitations in risk prediction, particu-larly in patients with reduced muscle mass.4 Cys-tatin C has received much attention as an alter-native filtration marker with stronger and more linear risk relationships than creatinine.5-7 Several studies have suggested that the addition of cys-tatin C measurements to creatinine measurements in calculating the eGFR significantly improves the risk classification for death, cardiovascular disease, and end-stage renal disease.8-10However, existing evidence has been limited by the lack of a reference standard for cystatin C to calibrate the measures across studies and by the absence of cystatin C–based equations that are derived from a broad population with a wide range of kidney function. The development of an international reference standard for cystatin C and the publication of improved GFR-estimating equations by the Chronic Kidney Disease Epide-miology Collaboration 11 prompted the current meta-analysis of 16 studies across a diverse population of participants. The objectives of this study, which was conducted by the Chronic Kid-ney Disease Prognosis Consortium (CKD-PC), were to determine whether the addition of an eGFR that was calculated with the use of the recently developed cystatin C equations would strengthen the relationships between various eGFR categories and adjusted risks of death from any cause, death from cardiovascular causes, and end-stage renal disease, as compared with the use of creatinine-based eGFR.MethodsStudy Design and ParticipantsDetailed descriptions of the CKD-PC have been reported previously.12-15 To be eligible for inclu-sion in the meta-analysis, studies had to include at least 1000 participants (with the exception of studies that enrolled only patients with chronic kidney disease)14 for whom data on baseline se-rum creatinine and albuminuria were available.In addition, studies had to include reports of at least 50 events for any outcome of interest. This meta-analysis included 11 general-population studies (with 90,750 participants) and 5 studies of patients with chronic kidney disease (with 2960 participants) for whom measurements of serum cystatin C were available.We calculated the eGFR using the latest equa-tions from the Chronic Kidney Disease Epidemi-ology Collaboration, with measurement of serum creatinine, cystatin C, or both creatinine and cystatin C (combination).11,16-18 All three eGFR equations incorporated kidney-filtration markers (serum creatinine or cystatin C) as well as age, sex, and race (black vs. nonblack), except for the cystatin C–based eGFR, for which data on race were not required.For each study cohort, we attempted to cali-brate cystatin C measurements to the reference standard by evaluating the year and measure-ment method used (Table S1 in the Supplemen-tary Appendix, available with the full text of this article at ).11,19 We first used the cys-tatin C–based eGFR to reclassify participants who were initially classified according to the creati-nine-based eGFR. Comparing the cystatin C–based eGFR with the creatinine-based eGFR had the advantage of providing the clearest contrast, since each equation includes only one filtration marker. We then compared the creatinine equa-tion with the combination equation.Study OutcomesThe outcomes of interest were death from any cause, death from cardiovascular causes, and end-stage renal disease. Death from cardiovascular causes was defined as death from myocardial in-farction, heart failure, or stroke. End-stage renal disease was defined by the need for renal-replace-ment therapy or death from chronic kidneyd isease.We first performed analyses within each study cohort and then performed meta-analyses across all studies, using random-effects models. We re-stricted our analysis to participants who were at least 18 years of age. Primary analyses were con-ducted in the general-population cohorts, since participants were not selected on the basis of serum creatinine levels. Secondary analyses were performed in the cohorts with chronic kidney disease.Study OversightThe study was designed by the CKD-PC steering committee. Data were collected within each ofThe New England Journal of MedicineDownloaded from at 301 HOSPITAL OF CHINESE PLA on March 13, 2014. For personal use only. No other uses without permission.Copyright © 2013 Massachusetts Medical Society. All rights reserved.T h e ne w engl a nd jour na l o f medicinen engl j med 369;10 september 5, 2013934the 16 cohorts and analyzed centrally at the coor-dinating center.Statistical Analysis We first evaluated the distributions for each eGFR equation. Subsequently, we constructed Cox proportional-hazards models fitted with eGFR linear splines, with adjustment for age, sex, race (black vs. nonblack), smoking status, status with respect to a history of cardiovascular disease, systolic blood pressure, presence or ab-sence of diabetes, total cholesterol level, body-mass index, and the level of albuminuria. From these models, we computed and pooled hazard ratios for each increment in the eGFR of 1 ml perminute per 1.73 m 2 of body-surface area foreGFR values from 15 to 120, with a reference point at 95 ml per minute per 1.73 m 2 (50 ml per minute per 1.73 m 2 for cohorts with chronic kid-ney disease), as in previous CKD-PC meta-analy-ses.12-14,16,20,21 The reference point was moved to 65 ml per minute per 1.73 m 2 for the end point of end-stage renal disease in the general-population cohorts in order to ensure that there were suffi-cient events at an eGFR value above the reference point. Details about the statistical analysisare* Plus–minus values are means ±SD. AASK denotes African American Study of Kidney Disease and Hypertension, ARIC Atherosclerosis Risk in Communities, AusDiab Australian Diabetes, Obesity, and Lifestyle, Beaver Dam CKD Beaver Dam Chronic Kidney Disease Study, CHS Cardiovascular Health Study, CRIB Chronic Renal Impairment in Birmingham, CVD cardiovascular disease, ESTHER Epidemiologische Studie zu Chancen der Verhütung, Früherkennung und optimierten Therapie chronischer E rkrankungen in der älteren Bevölkerung, Framingham Framingham Heart Study, MASTERPLAN Multifactorial Approach and Superior Treatment Efficacy in Renal Patients with the Aid of a Nurse Practitioner, MDRD Modification of Diet in Renal Disease, MESA MultiEthnic Study of Atherosclerosis, MMKD Mild to Moderate Kidney Disease, NA not available, NHANES III Third U.S. National Health and Nutrition Examination Survey, PREVEND Prevention of Renal and Vascular EndStage Disease, REGARDS Reasons for Geographic and Racial Differences in Stroke, and ULSAM Uppsala Longitudinal Study of Adult Men.† Listed are the proportions of participants with an albumin:creatinine ratio of 30 or more (with albumin measured in milligrams per deciliter and creatinine in grams per deciliter), a protein:creatinine ratio of 50 or more (with protein measured in milligrams per deciliter and creatinine in grams per deciliter), or a dipstick protein value of 1+ or higher.‡ Five participants were excluded from the analysis of incident endstage renal disease.The New England Journal of MedicineDownloaded from at 301 HOSPITAL OF CHINESE PLA on March 13, 2014. For personal use only. No other uses without permission.Copyright © 2013 Massachusetts Medical Society. All rights reserved.Cystatin C vs. Creatinine to Determine Kidney Riskn engl j med 369;10 september 5, 2013935provided in Appendix 1 in the Supplementary Ap-pendix.We cross-tabulated the eGFR that was calculat-ed by means of each equation, using clinical cate-gories of volume per minute per 1.73 m 2 (<15 ml, 15 to 29 ml, 30 to 44 ml, 45 to 59 ml, 60 to 89 ml, and ≥90 ml).1,22 We then evaluated the propor-tion of participants in each creatinine-calculated eGFR category for whom the eGFR was reclassi-fied on the basis of the cystatin C measurement or the combined measurement.1,16,22-25 For each outcome, we used multivariable Cox proportional-hazards models to assess risks of adverse out-comes among participants for whom the eGFR was reclassified to a higher value (i.e., to high-er categories of cystatin C–calculated eGFR or combination-calculated eGFR) or a lower eGFR value (i.e., to lower categories of the two sets of GFR estimates), as compared with participants for whom the eGFR was not reclassified.We assessed the overall improvement in reclas-sification on the basis of clinical eGFR categoriesby applying the net-reclassification-improvement approach,25,26 a method involving the use of pre-defined risk categories to assess improved risk prediction. To assess generalizability, we calcu-lated the net reclassification improvement in subgroups according to age (<65 vs. ≥65 years), sex, race (black vs. nonblack), eGFR category, and status with respect to diabetes, hypertension, and albuminuria, with a correction for bias when appropriate.27 All analyses were conducted with the use of Stata/MP software, version 11.2.R esultsStudy OutcomesThe mean values for the eGFR as measured with creatinine, cystatin C, and a combination of both for volume per minute per 1.73 m 2 were 85 ml, 85 ml, and 84 ml, respectively, among the general-population cohorts and 38 ml, 39 ml, and 38 ml, respectively, among the cohorts with chronic kidney disease (Table 1).28-43In the general-populationThe New England Journal of MedicineDownloaded from at 301 HOSPITAL OF CHINESE PLA on March 13, 2014. For personal use only. No other uses without permission.Copyright © 2013 Massachusetts Medical Society. All rights reserved.T h e ne w engl a nd jour na l o f medicinen engl j med 369;10 september 5, 2013936cohorts, the prevalence of an eGFR of less than 60 ml per minute per 1.73 m 2 was 9.7% with the creatinine equation, 13.7% with the cystatin C equation, and 10.0% with the combination (Fig. 1), values that were consistent across subgroups (Fig. S1 in the Supplementary Appendix).Death from Any CauseIn the 11 general-population cohorts, 12,351 of 90,750 participants (13.6%) died during a mean follow-up of 7.7 years. With a cystatin C–based eGFR, the risk of death from any cause was in-creased at eGFR values that were below the ref-erence point of 95 ml per minute per 1.73 m 2, with a threshold of 88 ml per minute per 1.73 m 2 (i.e., the point at which the risk was significantly higher than the risk at the reference point) (Fig. 2A). The corresponding thresholds were 59 ml and 83 ml per minute per 1.73 m 2 for the creatinine-based eGFR and the combination-based eGFR, respec-tively.. There was a reverse J-shaped association for the creatinine and combination measurements of eGFR, with a significantly elevated risk of death at higher eGFR values, as has been reported previously.6Among the cohorts of patients with chronic kidney disease, eGFR values based on cystatin C and combination measurements also had more linear associations with the risk of death thandid the values based on creatinine measurement, although no reverse J-shaped association was observed for the creatinine-based eGFR values (Fig. S2A in the Supplementary Appendix).In the general-population cohorts, across all the creatinine-based eGFR categories, reclassifi-cation to a lower eGFR was associated with a sig-nificantly higher adjusted risk of death (Table 2). For example, among participants with a creatinine-based eGFR of 60 to 89 ml per minute per 1.73 m 2 (48% of participants overall), 14% were reclassi-fied to a cystatin C–based eGFR of less than 60 ml per minute per 1.73 m 2 and had a relative increase of 57% in the adjusted risk of death during fol-low-up. Within the smaller category of a creati-nine-based eGFR of 60 to 74 ml per minute per 1.73 m 2 (18% of all participants), the 23% who were reclassified to a cystatin C–based eGFR of less than 60 ml per minute per 1.73 m 2 also had a significantly higher adjusted risk of death (hazard ratio, 1.54; 95% confidence interval [CI], 1.33 to 1.79) (Table S2 in the Supplementary Appendix).Conversely, across all categories of creatinine-based eGFR values, reclassification to a higher eGFR with the measurement of cystatin C was associated with a reduction in the adjusted risk of death, as compared with the group with eGFR values that were not reclassified, although the findings were significant only for creatinine-based eGFR categories of 30 to 44 ml and 45 to 59 ml per minute per 1.73 m 2. In the latter cate-gory, 42% of participants were reclassified to a cystatin C–based eGFR of 60 ml per minute per 1.73 m 2 or more and had a relative reduction of 34% in the adjusted risk of death. Similar results were observed when findings were unadjusted or further adjusted for the creatinine-based eGFR (Tables S3 and S4 in the Supplementary Appendix).Across all categories of creatinine-based eGFR values, the overall net reclassification improve-ment for death from any cause was 0.21 (95% CI, 0.17 to 0.26; P<0.001) and was greater in the general-population cohorts than in those with chronic kidney disease (Fig. 3). Among the 15 co-horts for which mortality data were available, all had positive net reclassification improvements. The bias-corrected estimates of net reclassification im-provement were highest for the creatinine-based eGFR categories of 45 to 59 ml per minute per 1.73 m 2 (0.28; 95% CI, 0.19 to 0.36), 30 to 44 ml per minute per 1.73 m 2 (0.32; 95% CI, 0.25 to 0.39), and 15 to 29 ml per minute per 1.73 m 2 (0.27; 95% CI, 0.18 to 0.37) (Table S5 in the Sup-The New England Journal of MedicineDownloaded from at 301 HOSPITAL OF CHINESE PLA on March 13, 2014. For personal use only. No other uses without permission.Copyright © 2013 Massachusetts Medical Society. All rights reserved.Cystatin C vs. Creatinine to Determine Kidney Riskn engl j med 369;10 september 5, 2013937plementary Appendix). In sensitivity analyses that were stratified according to age, sex, race, and status with respect to diabetes, hyperten-sion, and albuminuria, estimates of net reclas-sification improvement varied minimally (Fig. S3 and Table S6 in the Supplementary Appendix). Meta-regression analyses showed no cohort-specific factors that were significantly associat-ed with the net reclassification improvement (Table S7 in the Supplementary Appendix).Death from Cardiovascular CausesThe 10 general-population cohorts with data on deaths from cardiovascular causes included 64,010 participants, with 3193 events during a mean follow-up period of 8.8 years. For the cre-atinine-based eGFR, there was no reverse J-shaped association for the risk of death from cardiovas-cular causes, but the risk gradient was steeper for eGFR values based on cystatin C measurements and those based on combined measurements than for the creatinine-based eGFR values; threshold val-ues for significant elevations in risk were 69 ml per minute per 1.73 m 2 for the creatinine equation, 86 ml per minute per 1.73 m 2 for the cystatin C equation, and 83 ml per minute per 1.73 m 2 for the combination equation (Fig. 2B).The New England Journal of MedicineDownloaded from at 301 HOSPITAL OF CHINESE PLA on March 13, 2014. For personal use only. No other uses without permission.Copyright © 2013 Massachusetts Medical Society. All rights reserved.T h e ne w engl a nd jour na l o f medicinen engl j med 369;10 september 5, 2013938* R e c l a s s i f i c a t i o n o f t h e e G F R t o a h i g h e r v a l u e w i t h t h e m e a s u r e m e n t o f c y s t a t i n C w a s a s s o c i a t e d w i t h a d e c r e a s e d r i s k o f a s t u d y o u t c o m e . C o n v e r s e l y , r e c l a s s i f i c a t i o n o f t h e e G F R t o a l o w e r v a l u e w a s a s s o c i a t e d w i t h a n i n c r e a s e d r i s k . H a z a r d r a t i o s w e r e a d j u s t e d f o r a g e , s e x , r a c e , s m o k i n g s t a t u s , s y s t o l i c b l o o d p r e s s u r e , t o t a l c h o l e s t e r o l l e v e l , p r e s e n c e o r a b s e n c e o f d i a b e t e s , p r e s e n c e o r a b s e n c e o f a h i s t o r y o f c a r d i o v a s c u l a r d i s e a s e , b o d y m a s s i n d e x , a n d t h e l e v e l o f a l b u m i n u r i a . N A d e n o t e s n o t a p p l i c a b l e , a n d N D n o t d o n e b e c a u s e o f s m a l l s a m p l e s i z e .† T h e 95% c o n f i d e n c e i n t e r v a l i s v e r y w i d e i n t h i s c a t e g o r y .The New England Journal of MedicineDownloaded from at 301 HOSPITAL OF CHINESE PLA on March 13, 2014. For personal use only. No other uses without permission.Copyright © 2013 Massachusetts Medical Society. All rights reserved.Cystatin C vs. Creatinine to Determine Kidney Riskn engl j med 369; september 5, 2013939The New England Journal of MedicineDownloaded from at 301 HOSPITAL OF CHINESE PLA on March 13, 2014. For personal use only. No other uses without permission.Copyright © 2013 Massachusetts Medical Society. All rights reserved.T h e ne w engl a nd jour na l o f medicinen engl j med 369;10 september 5, 2013940In analyses according to eGFR category, re-classification to a lower eGFR was consistently associated with an increased risk in each creati-nine-based eGFR category, but point estimates were significant only for the creatinine-based eGFR categories of 45 to 59 ml, 60 to 89 ml, and 90 ml per minute per 1.73 m 2 or more. Reclas-sification to a higher eGFR was associated with a decreased risk in each category of creatinine-based eGFR but was significant only for a creat-inine-based eGFR of 15 to 29 ml per minute per 1.73 m 2 (Table 2). Overall, the net reclassification improvement was 0.16 (95% CI, 0.12 to 0.21; P<0.001), including the two cohorts with chron-ic kidney disease, and point estimates favored the cystatin C–based eGFR within each cohort (Fig. 3) and within each subgroup tested (Fig. S3 and Table S7 in the Supplementary Appendix).End-Stage Renal DiseaseIn two of the general-population cohorts, with a total of 37,872 participants, there were 357 events of incident end-stage renal disease, and in the five cohorts with chronic kidney disease, com-prising 2955 participants, there were 1297 such events over a mean follow-up of 9.3 years. The risk associations for creatinine-based eGFR, cys-tatin C–based eGFR, and eGFR based on com-bined measurements were similar in the general-population cohorts (Fig. 2C) and cohorts with chronic kidney disease (Fig. S2B in the Supple-mentary Appendix). Nonetheless, in all catego-ries of creatinine-based eGFR, reclassification to a lower eGFR with measurement of cystatin C was associated with an increased risk of end-stage renal disease, and reclassification to a higher eGFR was generally associated with a low-er risk (Table 2). The overall net reclassification improvement was not significant (0.03; 95% CI, −0.03 to 0.08; P = 0.46), although it had border-line significance in the general-population cohorts (0.10; 95% CI, 0.00 to 0.21; P = 0.05) (Fig. 3).Use of Combined CalculationsReclassification to a lower eGFR with the combi-nation equation was strongly associated with an increased risk of all three outcomes (Table S8 in the Supplementary Appendix), with effect sizes that were similar to those for cystatin C–based eGFR, but smaller proportions of participants were reclassified with the combination equation. Similarly, reclassification to a higher eGFR with the combination equation was associated withreductions in risks that were similar to those with the cystatin C equation.The net reclassification improvement with the combination eGFR equation over the creati-nine equation was smaller than the improve-ment with the cystatin C equation for death from any cause (0.13; 95% CI, 0.12 to 0.15; P<0.001) and death from cardiovascular causes (0.11; 95% CI, 0.09 to 0.13; P<0.001) but was larger for end-stage renal disease (0.07; 95% CI, 0.02 to 0.12; P = 0.01) (Fig. 3, and Fig. S4 in the Supplementary Appendix). We found that the net reclassification improvement with the cystatin C equation, as compared with the combination equation, was moderately strong and significant for death from any cause (0.13; 95% CI, 0.09 to 0.18; P<0.001) and for death from cardiovascular causes (0.10; 95% CI, 0.06 to 0.14; P<0.001) but was essentially equivalent for end-stage renal disease (−0.02; 95% CI, −0.16 to 0.13; P = 0.82).DiscussionAccurate detection and staging of chronic kidney disease are integral components of clinical med-icine, since such evaluations have a major effect on disease labeling, interventions, drug doses, and risk stratification for clinical procedures.3 Our study provides evidence that the use of cys-tatin C improves the role of eGFR in risk catego-rization, as judged by the risk of death from any cause and to a lesser extent the risks of death from cardiovascular causes and end-stage renal disease. Most notably, reduced values for cys-tatin C–based eGFR and eGFR based on com-bined measurements of creatinine and cystatin C had a consistent linear association with increased risks of death from any cause and from cardio-vascular causes for all eGFR levels below approx-imately 85 ml per minute per 1.73 m 2, which is well above the threshold of 60 ml per minute per 1.73 m 2 for the detection of chronic kidney disease with a creatinine-based eGFR. These find-ings show that eGFR equations that are based on the measurement of cystatin C can be used to detect increased risks of adverse outcomes that are not detected with creatinine-based calcula-tion of the eGFR.Differences among the eGFR values with respect to risk relationships probably reflect confounding by non-GFR determinants of the filtration markers. We observed that the creati-nine-based eGFR had the weakest associationThe New England Journal of MedicineDownloaded from at 301 HOSPITAL OF CHINESE PLA on March 13, 2014. For personal use only. No other uses without permission.Copyright © 2013 Massachusetts Medical Society. All rights reserved.Cystatin C vs. Creatinine to Determine Kidney Riskn engl j med 369;10 september 5, 2013941with death from any cause among the three GFR estimates and had a marked reverse J-shaped association. It is well known that the non-GFR determinants of serum creatinine, including mus-cle mass, diet, and physical activity, can con-found the associations between the creatinine-based eGFR and outcomes.44 The hypothesized mechanism is that serum creatinine levels are lower than expected for the level of GFR in pa-tients who are in poor health and who are most likely to die. Non-GFR determinants of cystatin C also exist, though they are quantifiably smaller than those of creatinine.45 It is therefore possible that confounding by non-GFR determinants of cystatin C may enhance the association between cystatin C–based eGFR and the risk of death.29 Hypothesized mechanisms include the potential influences of obesity, inflammation, and diabe-tes in raising cystatin C levels.46-48Recent studies have shown that calculation of the eGFR with a combination of creatinine and cystatin C more accurately reflects measured GFR than either marker alone, findings that are probably due to the lesser overall effects of non-GFR determinants of either marker when both markers are included.11,49 However, we found that eGFR calculated with the use of both mark-ers had a weaker association with the risk of death from any cause than did the cystatin C–based eGFR. Because analyses of prognosis are most heavily influenced by the events (in this case, deaths), the confounding by non-GFR de-terminants of creatinine in persons who are most susceptible to illness may particularly weak-en the association between eGFR based on com-bined measurements and longitudinal outcomes as compared with the effect in cross-sectional comparisons with measured GFR. Thus, calcula-tion of the eGFR with the use of combined mea-surements may provide the most accurate eGFR overall but not in some subgroups of patients in whom creatinine levels are reduced and risk is high. Alternatively, if non-GFR determinants of cystatin C augment its association with the risk of death, then they will have a greater effect on the cystatin C–based eGFR than on the eGFR that is based on combined measurements. We cannot distinguish among these possibilities, since the strength of our study is in establishing firm associations, with limited ability to deter-mine causal mechanisms.Recent guidelines suggest the use of cystatin C to validate the diagnosis of chronic kidney dis-ease in patients who are currently considered to have chronic kidney disease solely on the basis of a creatinine-based eGFR of less than 60 ml per minute per 1.73 m 2, without albuminuria or other markers of kidney damage.3 In our study, 42% of participants with a creatinine-based eGFR of 45 to 59 ml per minute per 1.73 m 2 had a cystatin C–based eGFR of 60 ml per minute per 1.73 m 2 or more, and those participants had a 34% reduction in the risk of death and an 80% reduction in the risk of end-stage renal disease, as compared with participants for whom the eGFR was not reclassified. Persons with a creat-inine-based eGFR of 45 to 59 ml per minute per 1.73 m 2 in the absence of albuminuria account for 4% of all persons in the United States and for 54% of patients with a creatinine-based eGFR of less than 60 ml per minute per 1.73 m 2 (the typical threshold for a diagnosis of chronic kid-ney disease).50 Confirmatory testing with the use of cystatin C could allow substantial reclas-sification in this group, with more appropriate resource utilization for patients at increased risk for complications of chronic kidney disease. Al-though the use of two different calculations of the eGFR (the creatinine-based eGFR and the cystatin C–based eGFR) allows for an examina-tion of the average of the two values as well as the difference between them, our results indicate that a single calculation of the eGFR based on the combined measurements performs well for risk classification in addition to its proven ad-vantage in GFR estimation.Our study examined prognosis on the basis of eGFR values calculated with the use of cys-tatin C as compared with creatinine-based eGFR values in more than 90,000 study participants. We examined a variety of clinically useful meth-ods for GFR estimation, included a broad range of kidney function, and standardized the mea-surements of cystatin C and creatinine across studies to the extent possible. Nonetheless, we had less information to evaluate reclassification according to the cystatin C–based eGFR for end-stage renal disease. The available results suggest that cystatin C adds less value to creatinine for the prediction of end-stage renal disease than for the prediction of death, but these findings should be interpreted with caution, since the diagnosis of end-stage renal disease is based on the serum creatinine level in addition to signs and symptoms of uremia.We acknowledge additional limitations of ourThe New England Journal of MedicineDownloaded from at 301 HOSPITAL OF CHINESE PLA on March 13, 2014. For personal use only. No other uses without permission.Copyright © 2013 Massachusetts Medical Society. All rights reserved.。