Value of peritoneal protein clearance as a predictor of cardiovascular outcomes in peritoneal dialysis patients

Niu Wei, Yang Xiaoxiao, Shen Yiwei, Ma Dahua, Xu Yimei, Song Qianhui, Yu Zanzhe, Yan Hao, Li Zhenyuan, Ni Zhaohui, Fang Wei

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Chinese Journal of Nephrology ›› 2021, Vol. 37 ›› Issue (7) : 576-582. DOI: 10.3760/cma.j.cn441217-20210317-00087
Clinical Study

Value of peritoneal protein clearance as a predictor of cardiovascular outcomes in peritoneal dialysis patients

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Abstract

Objective To investigate the predictive value of peritoneal protein clearance (Pcl) for cardiovascular events and cardiovascular mortality in peritoneal dialysis (PD) patients. Methods Eligible PD patients were prospectively enrolled from January 2014 to April 2015 in the PD Center of Renji Hospital, School of Medicine, Shanghai Jiao Tong University. All patients were followed up until death, withdrawing from PD, transferring to other centers, or the end of study period (October 1, 2018). The patients were divided into high Pcl group and low Pcl group by the median Pcl, and the differences of related indicators between the two groups were compared. A multiple linear regression model was used to analyze the influencing factors of Pcl. The Kaplan-Meier method and Log-rank test were used to compare the cumulative survival rates of patients between the two groups. A multivariate Cox regression model was used to estimate the risk of cardiovascular events and cardiovascular mortality in relation to Pcl in PD patients. Results A total of 271 patients were enrolled, with 135 males (49.8%), age of (56.92±0.84) years old and a median PD duration of 38.77(19.00, 63.10) months. There were 70 patients (25.8%) comorbiding with diabetes and 81 patients (29.9%) with cardiovascular diseases (CVD). The median Pcl of this cohort was 67.93(52.31, 88.36) ml/d. Compared with the low Pcl group (Pcl<67.93 ml/d), the high Pcl group (Pcl≥67.93 ml/d) had older age, and greater proportion of CVD, body mass index (BMI), pulse pressure, brain natriuretic peptide, mass transfer area coefficient of creatinine (MTACcr), and lower serum albumin (all P<0.05). There was no significant difference in gender, dialysis duration, proportion of diabetes, proportion of angiotensin converting enzyme inhibitor and angiotensin receptor blocker, proportion of continuous ambulatory PD, high sensitivity C reactive protein, fluid removal including 24 h urine volume and 24 h ultrafiltration, and residual renal function between the two groups (all P>0.05). Multiple linear regression analysis showed that serum albumin (β=-0.388, P<0.001), BMI (β=0.189, P<0.001), and MTACcr (β=0.247, P<0.001) were independently related to lg(Pcl). During the study period, 55 patients experienced one or more cardiovascular events and 39 patients had cardiovascular mortality. According to Kaplan-Meier analysis, cardiovascular mortality in the high Pcl group was higher than that of low Pcl group (Log-rank χ2=6.902, P=0.009). Multivariate Cox regression analysis showed that, high lg(Pcl) was an independent influencing factor of cardiovascular events in PD patients (HR=7.654,95%CI 1.676-34.945, P=0.009). Conclusions Serum albumin, BMI and MTACcr are independently associated with Pcl, and Pcl is an independent predictor of cardiovascular events in PD patients.

Key words

Peritoneal dialysis / Cardiovascular diseases / Prognosis / Peritoneal protein clearance

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Niu Wei. , Yang Xiaoxiao. , Shen Yiwei. , Ma Dahua. , Xu Yimei. , Song Qianhui. , Yu Zanzhe. , Yan Hao. , Li Zhenyuan. , Ni Zhaohui. , Fang Wei. Value of peritoneal protein clearance as a predictor of cardiovascular outcomes in peritoneal dialysis patients[J]. Chinese Journal of Nephrology, 2021, 37(7): 576-582. DOI: 10.3760/cma.j.cn441217-20210317-00087.
心血管疾病(cardiovascular disease,CVD)是腹膜透析(腹透)患者死亡的首要原因,腹透患者中约40%~60%的死亡与心血管事件有关[1]。腹透患者心血管事件高发,除了受传统危险因素的影响,还与尿毒症和透析等非传统危险因素密切相关[2]。根据腹膜转运的三孔模型[3],腹膜上存在3种不同大小的孔,蛋白质主要通过大孔转运,小分子溶质和部分水通过小孔转运,而超小孔仅允许水分子通过。腹透过程可导致蛋白质丢失,有研究提示,腹膜蛋白的清除与腹透患者的预后密切相关[4-8]。但也有研究得出了不同的结果,一项纳入66例腹透患者的研究显示,24 h腹膜白蛋白丢失不是腹透患者2年心血管预后和生存的预测指标[9]。Balafa等[10]研究显示,基线腹膜白蛋白丢失不是腹透患者死亡的预测指标。Yu等[11]的研究结果则显示,校正血浆白蛋白后,高腹膜蛋白清除率不再是预测腹透患者死亡的指标。腹膜蛋白清除率(peritoneal protein clearance,Pcl)与腹透患者预后之间的关系目前仍存在争议。为此,我们开展前瞻性队列研究,探讨腹透患者Pcl的相关影响因素及其对腹透患者心血管预后的预测价值。

对象与方法

一、 研究对象

本研究为前瞻性队列研究。研究对象为2014年1月至2015年4月在上海交通大学医学院附属仁济医院腹透中心规律随访且透析龄>3个月的患者。排除标准:4周内有急性冠脉综合征、急性心力衰竭、腹膜炎、出口部位感染或其他感染性并发症。所有患者入选时均测定Pcl及其他指标,随访至患者死亡、退出腹透、转其他中心或研究终止日期(2018年10月1日)。所有患者均使用传统乳酸盐葡萄糖腹透液(中国Baxter,Dianeal®)进行透析。本研究方案经上海交通大学医学院附属仁济医院伦理委员会批准(审批文号:[2013]N022)。所有参与者均已签署书面知情同意书。

二、 研究方法

1. 纳入流程: 本研究患者筛选、分组和预后流程图见图1
图1 腹膜透析患者筛选、分组和预后流程图

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2. 资料收集: 收集入选患者的人口统计学及临床资料,包括年龄、性别、终末期肾病病因、腹透龄、身高、体重、合并症(糖尿病和既往CVD病史)、血压、透析方案、用药方案等。既往CVD病史定义为存在缺血性心脏病、心绞痛、心肌梗死、冠状动脉旁路手术或支架植入术后、纽约心脏学会分级Ⅲ~Ⅳ级充血性心力衰竭、脑血管事件、短暂性脑缺血发作或伴有/不伴有截肢的外周动脉疾病史。
3. 实验室指标: 患者入选时检测血清白蛋白、超敏C反应蛋白(high sensitivity C reactive protein,hsCRP)、脑钠肽(brain natriuretic peptide,BNP)等指标。
4. 透析相关指标: 记录患者入选时的透析处方,收集24 h尿量及24 h超滤量,采用24 h尿尿素氮和肌酐清除率的平均值计算残余肾功能[12]。肌酐的物质转运面积系数(mass transfer area coefficient of creatinine,MTACcr)计算根据Garred公式:MTACcr(ml/min)=(Vd/tln[Vi·P/VdP-Dt)] [13]。其中Vd是透析液引流量(ml),t是留腹时间(min),Vi是透析液注入量(ml),P是溶质的血浆浓度(μmol/L),Dt是留腹结束时溶质的透析液浓度(μmol/L)。
5. Pcl的测定及计算: 收集24 h透出液,采用双缩脲法检测24 h透出液总蛋白量。Pcl计算公式:Pcl(ml/d)=24 h透析液总蛋白量/(血清白蛋白/0.478 3)[14]
5. 患者心血管预后: 心血管预后不良定义为CVD事件和CVD死亡。如研究期间发生多次CVD事件,生存分析仅限于首次事件。CVD事件包括急性心肌缺血、持续性房性或室性心律失常、充血性心力衰竭(纽约心脏学会分级Ⅲ~Ⅳ级)、脑卒中、外周血管疾病和猝死。CVD死亡定义为心血管事件导致的死亡。累积无心血管事件比例定义:以CVD事件为终点事件的未发病率。累积无心血管事件生存率定义:以CVD死亡为终点事件的患者生存率。

三、 统计学方法

使用SPSS 24.0软件进行统计学分析。正态分布的计量资料以x¯±s形式表示,非正态分布的计量资料以MP25P75)形式表示,计数资料以例(%)表示,根据分布和资料类型分别采用独立样本t检验、Mann-Whitney U检验或卡方检验比较两组间的差异。采用多元线性回归模型分析Pcl的相关影响因素。采用Kaplan-Meier法和Log-rank检验比较两组患者的累积生存率。采用Cox比例风险回归模型评估不同变量对于CVD事件及CVD死亡的相对风险。将单因素Cox回归分析中P<0.2的变量纳入多因素Cox回归分析,采用基于最大似然估计的向前逐步回归法。采用双侧检验,P<0.05视为差异有统计学意义。

结果

1. 基本资料: 本研究共入选患者271例,其中男性135例(49.8%),年龄(56.92±0.84)岁,中位腹透龄38.77(19.00,63.10)个月。原发病为慢性肾小球肾炎52例(19.2%),糖尿病肾病37例(13.7%),高血压肾硬化8例(3.0%),多囊肾病9例(3.3%),狼疮肾炎5例(1.8%),梗阻性肾病4例(1.5%),肾小管间质肾炎4例(1.5%),病因不明及其他152例(56.1%)。入选患者中,合并糖尿病70例(25.8%),有CVD病史81例(29.9%)。见表1
表1 两组患者临床指标、透析相关指标和实验室检查结果的比较
项目 总体
(n=271)
低Pcl组
(Pcl<67.93 ml/d,n=136)
高Pcl组
(Pcl≥67.93 ml/d,n=135)
统计量
(t/Z/χ2)
P
Pcl(ml/d) 67.93(52.31,88.36) 52.31(43.53,59.35) 88.36(76.46,103.27) -14.230 <0.001
年龄(岁) 56.92±0.84 54.87±1.30 59.00±1.04 -2.478 0.014
男性[例(%)] 135(49.8) 60(44.1) 75(55.5) 3.545 0.060
BMI(kg/m2) 22.57(20.57,25.44) 21.83(20.10,24.90) 23.56(21.21,26.12) -3.519 <0.001
透析龄(月) 38.77(19.00,63.10) 40.80(20.11,61.80) 35.63(15.83,63.97) -0.933 0.351
合并糖尿病[例(%)] 70(25.8) 32(23.5) 38(28.1) 0.754 0.385
合并CVD[例(%)] 81(29.9) 32(23.5) 49(36.3) 5.270 0.022
ACEI/ARB[例(%)] 152(56.0) 70(51.4) 82(60.7) 2.364 0.124
CAPD[例(%)] 227(83.7) 115(84.5) 112(82.9) 0.127 0.722
脉压差(mmHg) 52(42,62) 50(39,57) 56(45,67) -3.987 <0.001
血清白蛋白(g/L) 37.69±0.25 39.26±0.31 36.10±0.35 6.851 <0.001
hsCRP(mg/L) 2.37(0.80,6.37) 2.00(0.71,5.92) 2.69(0.84,6.54) -0.653 0.514
BNP(ng/L) 79.0(36.0,164.0) 56.5(27.3,107.0) 124.0(58.0,291.0) -5.785 <0.001
24 h尿量(ml/d) 200(0,600) 200(0,638) 250(0,600) -0.761 0.447
24 h超滤量(ml/d) 575(190,900) 573(250,888) 590(175,900) -0.167 0.867
残余肾功能(ml/min) 0.60(0,2.36) 0.57(0,2.29) 0.60(0,2.47) -0.579 0.563
MTACcr(ml/min) 7.43(5.85,9.48) 6.84(5.48,8.21) 8.33(6.55,11.32) -5.049 <0.001
注:Pcl:腹膜蛋白清除率;BMI:体重指数;CVD:心血管疾病;ACEI/ARB:血管紧张素转换酶抑制剂和血管紧张素受体拮抗剂;CAPD:持续性非卧床腹膜透析;1 mmHg=0.133 kPa;hsCRP:超敏C反应蛋白;BNP:脑钠肽;MTACcr:肌酐的物质转运面积系数;数据形式除已注明外,呈正态分布的计量资料以x¯±s形式表示,非正态分布的计量资料以MP25P75)形式表示
2. 两组患者临床指标、透析相关指标和实验室检查结果的比较: 本组患者的Pcl值为非正态分布的计量资料,中位Pcl为67.93(52.31,88.36)ml/d,根据Pcl的中位数将患者分为低Pcl组(Pcl<67.93 ml/d)和高Pcl组(Pcl≥67.93 ml/d)。与低Pcl组相比,高Pcl组患者年龄、合并CVD比例、体重指数(body mass index,BMI)、脉压差、BNP、MTACcr均较高,血清白蛋白较低(均P<0.05)。两组患者性别、透析龄、合并糖尿病比例、血管紧张素转换酶抑制剂和血管紧张素受体拮抗剂比例、持续性非卧床腹透比例、hsCRP、24 h尿量、24 h超滤量、残余肾功能等之间的差异均无统计学意义(均P>0.05)。见表1
3. Pcl与MTACcr的相关性分析:由散点图(图2)可见,Pcl与MTACcr之间存在线性关系。因Pcl不符合正态分布,故将其进行对数转换后再行多元线性回归分析。将Pcl分组中差异有统计学意义(P<0.05)的变量纳入多元线性回归模型(F=18.175,P<0.001,调整R2=0.337),结果显示,血清白蛋白(β=-0.388,P<0.001)、BMI(β=0.189,P<0.001)和MTACcr(β=0.247,P<0.001)与lg(Pcl)独立相关,见表2
图2 肌酐的物质转运面积系数与腹膜蛋白清除率的关系(散点图,n=271)

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表2 腹膜蛋白清除率的相关影响因素(多元线性回归分析,n=271)
指标 未标准化系数B 标准误 标准化系数β P
血清白蛋白(g/L) -0.018 0.003 -0.388 <0.001
体重指数(kg/m2) 0.010 0.003 0.189 <0.001
MTACcr(ml/min) 0.014 0.003 0.247 <0.001
注:MTACcr:肌酐的物质转运面积系数;Pcl作以10为底的对数转化,校正年龄、性别、合并心血管疾病、脑钠肽和脉压差
4. 生存分析: 截至本研究终止日期,本队列共有55例(20.3%)患者在随访期间发生了至少1次CVD事件,首发CVD事件包括脑卒中20例、急性心肌缺血15例、充血性心力衰竭4例、外周血管疾病7例、猝死9例。研究期间共有71例患者死亡,其中CVD死亡39例(54.9%)。Kaplan-Meier生存分析结果显示,高Pcl腹透患者的累积无CVD事件比例显著低于低Pcl患者(Log-rank χ2=3.973,P=0.046)。与低Pcl组患者相比,高Pcl组患者的CVD死亡率显著增加(Log-rank χ2=6.902,P=0.009)。见图3
图3 高腹膜蛋白清除率(Pcl)组和低Pcl组腹膜透析患者累积无心血管事件比例和累积无心血管事件生存率的比较(Kaplan-Meier生存曲线)

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5. 心血管事件的影响因素分析: 单因素Cox回归分析结果显示,年龄、合并CVD、lg(Pcl)、Pcl分组和血清白蛋白与CVD事件发生相关(均P<0.05)。将单因素Cox回归分析中P<0.2的变量及临床有意义的变量纳入多因素Cox回归分析,校正年龄、性别、BMI、血清白蛋白、合并糖尿病和CVD之后,高lg(Pcl)仍是腹透患者新发CVD事件的独立影响因素(HR=7.654,95%CI 1.676~34.945,P=0.009)。而Pcl分组不是腹透患者新发CVD事件的独立影响因素(P=0.455)。见表3。在对患者人口统计学及重要实验室指标进行校正后,多因素Cox比例风险回归分析未能发现Pcl是腹透患者CVD死亡的独立影响因素(相关数据未展示)。
表3 腹膜透析患者发生心血管疾病事件的影响因素(Cox比例风险回归模型,n=271)
变量 单因素 多因素(模型1) 多因素(模型2)
HR(95%CI) P HR(95%CI) P HR(95%CI) P
年龄(岁) 1.041(1.019~1.063) <0.001
男性(男性/女性) 1.238(0.728~2.106) 0.430
BMI(kg/m2) 1.046(0.983~1.114) 0.158
合并CVD(是/否) 3.811(2.228~6.519) <0.001 3.454(2.016~5.918) <0.001 3.262(1.875~5.673) <0.001
合并糖尿病(是/否) 1.607(0.922~2.801) 0.095
lg(Pcl) 9.517(2.453~36.928) 0.001 7.654(1.676~34.945) 0.009
Pcl分组(高Pcl组/低Pcl组) 1.727(1.002~2.976) 0.049
血清白蛋白(g/L) 0.897(0.842~0.955) 0.001 0.927(0.869~0.989) 0.023
lg(MTACcr) 1.019(0.201~5.173) 0.982
hsCRP(ng/L) 1.007(0.987~1.027) 0.484
脉压差(mmHg) 1.011(0.994~1.028) 0.202
注:BMI:体重指数;CVD:心血管疾病;Pcl:腹膜蛋白清除率,单位为ml/d;MTACcr:肌酐的物质转运面积系数;hsCRP:超敏C反应蛋白;1 mmHg=0.133 kPa;HR:风险比;CI:置信区间;模型 1:纳入连续变量lg(Pcl),校正年龄、性别、BMI、血清白蛋白、合并糖尿病和CVD;模型 2:纳入分类变量Pcl分组,校正年龄、性别、BMI、血清白蛋白、合并糖尿病和CVD

讨论

本研究结果显示,腹透患者血清白蛋白、BMI、MTACcr与lg(Pcl)独立相关,高Pcl腹透患者CVD病死率更高,较高的Pcl是腹透患者CVD事件的独立预测因素。
MTACcr是反映腹膜有效表面积的指标,与Lu等[7]的研究一致,本研究结果显示MTACcr是Pcl的独立相关因素。根据腹膜转运的三孔模型[3],腹膜上存在3种不同大小的孔。蛋白质主要通过大孔转运,水和小分子溶质主要通过小孔转运,而超小孔仅允许水分子通过。Pcl主要反映腹膜上的大孔转运,而MTACcr主要反映腹膜的小孔转运。MTACcr与Pcl之间存在相关性可能是由于大孔和小孔的转运均受到有效腹膜表面积的影响。类似地,BMI与Pcl呈正相关的原因可能是高BMI患者有更大的有效腹膜表面积。
本研究结果显示腹透患者血清白蛋白水平与Pcl独立相关,其他研究也有类似报道[4,10-11]。Heaf等[15]对155例初始腹透患者研究发现腹膜大孔流量(large pore fluid flux,JvL)与血清白蛋白水平呈负相关,且根据其纵向观察结果,开始腹透后,高JvL患者血清白蛋白立即显著持续性下降,提示腹透患者的低蛋白血症是由腹透本身而非透析前疾病造成的。蛋白通过腹透液丢失,肝脏代偿性合成增加,但不足以完全代偿[16],使得血清白蛋白水平下降。因为蛋白质主要通过腹膜上的大孔转运,所以Pcl相当于JvL。值得注意的是,以Pcl代替JvL时,血清白蛋白是Pcl计算公式中的分母,这一定程度上也可导致Pcl和血清白蛋白呈负相关。
本研究结果显示,高Pcl腹透患者的无CVD事件的生存率显著低于低Pcl患者,高Pcl是腹透患者发生CVD事件的独立影响因素。韩国1项纳入540例初始腹透患者的前瞻性队列研究也显示,高Pcl是CVD事件的独立危险因素[8]。另有研究显示,类似于Pcl,腹膜白蛋白排泄率是腹透患者CVD事件的独立预测因素[17]。目前,Pcl与腹透患者发生CVD事件密切相关的机制仍未完全明了。既往研究提示可能存在以下原因:(1)高Pcl是广泛内皮细胞功能障碍的标志,正如微量白蛋白尿与CVD的关系[18]。Sánchez-Villanueva等[19]发现基线高Pcl是外周动脉疾病的独立相关因素。Lee等[20]报道Pcl和外周血管钙化评分联合使用可以预测腹透患者的血管硬化。因而高Pcl腹透患者可能具有更严重的内皮功能不全和血管病变。(2)Pcl增加导致低白蛋白血症,进一步导致容量超负荷。多项研究显示,腹透患者的Pcl与血清白蛋白水平呈负相关[4,10-11]。众所周知,腹透患者的低蛋白血症与容量超负荷密切相关。而容量超负荷是长期腹透患者最重要的心血管危险因素之一[2]。一些研究结果显示,Pcl与容量指标细胞外液量/体内液体总量和N末端脑钠肽前体等密切相关[21-23]。在1项针对初始腹透患者的回顾性研究中,细胞外液量/体内液体总量纳入多因素Cox回归模型后,Pcl对死亡的预测作用消失[21]。提示高Pcl的患者可能因为容量超负荷而导致死亡风险增加。(3)高Pcl的患者腹腔蛋白丢失多,可引起或加重患者蛋白质能量消耗,而蛋白质能量消耗与CVD事件发生密切相关[24]。因此,Pcl可能通过上述机制影响腹透患者CVD事件的发生。
本研究发现高Pcl组患者的CVD病死率明显高于低Pcl组,但多因素Cox比例风险回归分析未能发现Pcl是腹透患者CVD死亡的独立影响因素,这可能与本研究CVD死亡的事件数不足有关。
本研究存在一定的不足之处。首先,本研究仅测定了单次Pcl,缺乏对于Pcl的纵向检测,所以未能分析纵向Pcl变化与患者心血管预后的关系;其次,由于研究期间发生CVD死亡的事件数不足,多因素分析未发现Pcl与CVD死亡的关系,Pcl是否能独立预测CVD死亡还有待延长随访期进一步探讨;另外,本研究为单中心的观察性研究,仍需多中心临床研究加以验证。
综上,血清白蛋白、BMI、MTACcr是腹透患者Pcl的独立相关因素,高Pcl可预测腹透患者的CVD事件。

References

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Balafa O, Krediet RT. Peritoneal dialysis and cardiovascular disease[J]. Minerva Urol Nefrol, 2012, 64(3): 153-162.
Cardiovascular (CV) death is the most frequent cause of dying in peritoneal dialysis (PD) patients. Risk factors include not only those that can be present in the general population, but also those related to the presence of end-stage renal disease (ESRD) and factors that are specific for PD modality. Hypertension is the most important general risk factor in PD patients, while obesity remains controversial. Inflammation, malnutrition, calcifications and probably endothelial dysfunction and oxidative stress are all CV risk factors present in ESRD that contribute to mortality in PD patients. Additional CV risk factors in PD are related to the glucose load, leading to increasing insulin resistance and a more atherogenic lipid profile. The presence of glucose degradation products in conventional dialysis solutions is mainly related to the development of peritoneal abnormalities, but not directly to cardiovascular disease. Loss of residual renal function and ultrafiltration failure promote overhydration, which is the most important PD-related risk factor for CV disease.
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Pérez-Fontán M, Rodríguez-Carmona A, Barreda D, et al. Peritoneal protein transport during the baseline peritoneal equilibration test is an accurate predictor of the outcome of peritoneal dialysis patients[J]. Nephron Clin Pract, 2010, 116(2): c104-c113. DOI: 10.1159/000314659.
<i>Background:</i> Peritoneal protein excretion (PPE) is a potential marker of the outcome in peritoneal dialysis (PD) patients. <i>Method:</i> Observational study of a cohort of 269 patients starting PD in a single unit. Study variables: total PPE during a baseline peritoneal equilibration test (PET; PET-PPE) and 24-hour PPE. Control variables: essential baseline demographic, laboratory and adequacy markers. Main outcomes: mortality, cardiovascular events and risk of peritonitis. We applied univariate and multivariate strategies of survival analysis. <i>Main Results:</i> PET-PPE sustained a significant, yet limited correlation with 24-hour PPE (r = 0.46, p &lt; 0.0005). At baseline, the main study variables showed an independent correlation with peritoneal transport characteristics (D/P<sub>240’&lt;/sub&gt; creatinine) and cardiovascular comorbidity. PET-PPE (p &lt; 0.0005, model global χ<sup>2</sup> 59.4) was a more accurate predictor of overall mortality than 24-hour PPE (p = 0.04, χ<sup>2</sup> 50.5). Moreover, PPE during PET, but not 24-hour PPE, was an independent predictor of the risks of cardiovascular and infectious mortality, and of peritonitis. <i>Conclusions:</i> Baseline PPE represents a strong independent marker of survival of PD patients. Estimation of PPE during PET is more accurate than 24-hour PPE for this purpose, sustains a definite independent association with cardiovascular and infectious mortality, and shows a significant correlation with the risk of peritonitis.
[6]
Rajakaruna G, Caplin B, Davenport A. Peritoneal protein clearance rather than faster transport status determines outcomes in peritoneal dialysis patients[J]. Perit Dial Int, 2015, 35(2): 216-221. DOI: 10.3747/pdi.2013.00217.
Faster peritoneal transport has been associated with an increased risk of therapy failure and patient mortality. However, faster transport can the result of many factors. Peritoneal protein clearance (PPC) has been proposed to distinguish faster peritoneal transport attributable to inflammatory conditions, as protein clearance reflects large-pore flow, which increases during inflammation. We followed a cohort of 300 peritoneal dialysis patients, and after adjustments for age and comorbidity, higher PPC was associated with increased risk of death (hazard ratio: 1.81; 95% confidence interval: 1.11 to 2.95), even after patients underwent transplantation or transferred to hemodialysis.
[7]
Lu W, Pang WF, Jin L, et al. Peritoneal protein clearance predicts mortality in peritoneal dialysis patients[J]. Clin Exp Nephrol, 2019, 23(4): 551-560. DOI: 10.1007/s10157-018-1677-9.
Peritoneal protein clearance has been suggested to be a marker of peritoneal inflammation and systemic endothelial dysfunction.We enrolled 711 consecutive incident PD patients. Baseline peritoneal protein clearance and other clinical information were reviewed. All patients were followed for at least 1 year for all-cause and cardiovascular mortality.The average PD effluent protein loss was 6.41 ± 2.16 g/day; peritoneal protein clearance was 97.15 ± 41.55 mL/day. The average duration of follow-up was 50.8 ± 36.2 months. Multivariate linear regression analysis showed that serum albumin, C-reactive protein, and mass transfer area coefficients of creatinine were independently associated with peritoneal protein clearance. By multivariate Cox regression analysis, age, Charlson comorbidity score, volume of overhydration and peritoneal protein clearance were independent predictors of all-cause mortality. Every 10 mL/day increase in peritoneal protein clearance confers 10.4% increase in risk of all-cause mortality (95% confidence interval 2.6-18.7%, p = 0.008). Peritoneal protein clearance was also associated with cardiovascular mortality by univariate analysis, but the association became insignificant after adjusting for confounding factors Cox regression analysis.Baseline peritoneal protein clearance is an independent predictor of all-cause mortality in incident PD patients. Routine measurement of peritoneal protein clearance may facilitate patient risk stratification.
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Chang TI, Kang EW, Lee YK, et al. Higher peritoneal protein clearance as a risk factor for cardiovascular disease in peritoneal dialysis patient[J]. PLoS One, 2013, 8(2): e56223. DOI: 10.1371/journal.pone.0056223.
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Aim:  High peritoneal transport status is a determinant of morbidity and mortality in peritoneal dialysis (PD) patients. It was hypothesized that 24 h peritoneal albumin leakage predicted 2 year prospective cardiovascular outcome and survival in patients receiving PD.
[10]
Balafa O, Halbesma N, Struijk DG, et al. Peritoneal albumin and protein losses do not predict outcome in peritoneal dialysis patients[J]. Clin J Am Soc Nephrol, 2011, 6(3): 561-566. DOI: 10.2215/CJN.05540610.
Peritoneal clearance of albumin—unlike the transport of small molecules—is defined by both vascular surface area and size-selective permeability. Few studies have supported a positive correlation between peritoneal albumin loss and mortality. The aim of this study was to investigate whether baseline peritoneal loss and clearance of albumin and other proteins is a risk factor of death in peritoneal dialysis patients.
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Yu Z, Lambie M, Chess J, et al. Peritoneal protein clearance is a function of local inflammation and membrane area whereas systemic inflammation and comorbidity predict survival of incident peritoneal dialysis patients[J]. Front Physiol, 2019, 10: 105. DOI: 10.3389/fphys.2019.00105.
It is not clear whether the association of increased peritoneal protein clearance (PPCl) with worse survival on peritoneal dialysis (PD) is a consequence of either local or systemic inflammation or indicative of generalized endothelial dysfunction associated with comorbidity. To investigate this we determined the relationship of PPCl to comorbidity, membrane area (equivalent to low molecular weight peritoneal solute transport rate), local and systemic inflammation and hypoalbuminaemia, and for each of these with patient survival. 257 incident patients from three GLOBAL Fluid Study centers were included in this analysis. Clinical profiles were collected at baseline along with a peritoneal equilibration test, 24-h dialysate protein and paired plasma and dialysate cytokine measurements. Although peritoneal protein clearance was associated with increased age and severe comorbidity on univariate analysis, only dialysate IL-6, peritoneal solute transport rate, plasma albumin and cardiac comorbidities (ischaemic heart disease and left ventricular dysfunction) were independent explanatory variables on multivariate analysis. While peritoneal protein clearance and daily peritoneal protein loss were associated with survival in univariate analysis, on multivariate analysis only plasma IL-6, age, residual kidney function, comorbidity, and plasma albumin were independent predictors. Peritoneal protein clearance is primarily a function of peritoneal membrane area and local membrane inflammation. The association with comorbidity and survival is predominantly explained by its inverse relationship to hypoalbuminaemia, especially in diabetics.
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Yang X, Zhang H, Shi Y, et al. Association of serum angiopoietin-2 with malnutrition, inflammation, atherosclerosis and valvular calcification syndrome and outcome in peritoneal dialysis patients: a prospective cohort study[J]. J Transl Med, 2018, 16(1): 312. DOI: 10.1186/s12967-018-1687-0.
Background To examine serum angiopoietin-2 (Angpt-2) in relation to malnutrition, inflammation, atherosclerosis and cardiac valvular calcification, so-called MIAC syndrome and its predictive role in outcomes of peritoneal dialysis (PD) patients.Methods A prospective observational study was conducted in 324 chronic PD patients. Biochemical analysis was performed at baseline for serum angiopoietins, albumin and high sensitive C-reactive protein (hs-CRP) and echocardiography was done to detect cardiac valvular calcification. Primary study end points were fatal or nonfatal cardiovascular events and mortality.Results The median of serum Angpt-2 levels was 5.44ng/mL (interquartile range, 3.41-7.85). Across the three tertiles of serum Angpt-2, a significant trend effect was observed for body mass index, normalized protein catabolic rate, calciumxphosphorus product, hs-CRP, brain natriuretic peptide, lower-density lipoprotein cholesterol, left ventricular ejection fraction, total weekly urea clearance and residual renal function (all p<0.05). Serum Angpt-2 showed a significant increase across the four groups of patients with increasing components of MIAC syndrome (p<0.001). There were 77 deaths and 57 cardiovascular events. High serum Angpt-2 was an independent predictor of fatal and nonfatal cardiovascular events in PD patients (p=0.02), however serum Angpt-2 was not an independent predictor of all-cause mortality (p=0.3).Conclusions Serum Angpt-2 showed close association with valvular calcification, atherosclerosis, inflammation and malnutrition, having significant independent prognostic value and is useful for cardiovascular event stratification in chronic PD patients. Angpt-2 might be a potential mediator of increased cardiovascular risk in patients undergoing PD treatment.
[13]
Ma TK, Chow KM, Kwan BC, et al. Peritonitis before peritoneal dialysis training: analysis of causative organisms, clinical outcomes, risk factors, and long-term consequences[J]. Clin J Am Soc Nephrol, 2016, 11(7): 1219-1226. DOI: 10.2215/CJN.00830116.
Peritonitis before peritoneal dialysis (PD) training (pretraining peritonitis [PTP]) is an uncommon event. The study aim was to examine the causative organisms, clinical outcomes, risk factors, and long-term consequences of PTP.
[14]
Guedes AM. Peritoneal protein loss, leakage or clearance in peritoneal dialysis, where do we stand?[J]. Perit Dial Int, 2019, 39(3): 201-209. DOI: 10.3747/pdi.2018.00138.
Peritoneal protein loss (PPL) through peritoneal effluent has been a well-recognized detrimental result of peritoneal dialysis (PD) treatment since its inception. Investigation has focused mainly on PPL quantitative and qualitative determinations and evaluation of its prognostic value.
[15]
Heaf JG, Sarac S, Afzal S. A high peritoneal large pore fluid flux causes hypoalbuminaemia and is a risk factor for death in peritoneal dialysis patients[J]. Nephrol Dial Transplant, 2005, 20(10): 2194-2201. DOI: 10.1093/ndt/gfi008.
[16]
Prinsen BH, Rabelink TJ, Beutler JJ, et al. Increased albumin and fibrinogen synthesis rate in patients with chronic renal failure[J]. Kidney Int, 2003, 64(4): 1495-1504. DOI: 10.1046/j.1523-1755.2003.00211.x.
Hypoalbuminemia and hyperfibrinogenemia are frequently observed in patients with chronic renal failure (CRF) and are both associated with cardiovascular diseases. The mechanisms responsible for hypoalbuminemia and hyperfibrinogenemia in CRF are unknown.In the present study, both albumin and fibrinogen kinetics were measured in vivo in predialysis patients (N = 6), patients on peritoneal dialysis (N = 7) and control subjects (N = 8) using l-[1-13C]-valine.Plasma albumin concentration was significantly lower in patients on peritoneal dialysis compared to control subjects (P < 0.05). Plasma fibrinogen was significantly increased in both predialysis patients (P < 0.01) as well as patients on peritoneal dialysis (P < 0.001) in comparison to control subjects. In contrast to albumin, fibrinogen is only lost in peritoneal dialysate and not in urine. The absolute synthesis rates (ASR) of albumin and fibrinogen were increased in patients on peritoneal dialysis (ASR albumin, 125 +/- 9 mg/kg/day versus 93 +/- 9 mg/kg/day, P < 0.05; ASR fibrinogen, 45 +/- 4 mg/kg/day versus 29 +/- 3 mg/kg/day, P < 0.01) compared to control subjects. Albumin synthesis is strongly correlated with fibrinogen synthesis (r2 = 0.665, P < 0.0001, N = 21). In this study, the observed hypoalbuminemia in patients on peritoneal dialysis is likely not explained by malnutrition, inadequate dialysis, inflammation, metabolic acidosis, or insulin resistance. We speculate that peritoneal albumin loss is of relevance.Synthesis rate of albumin and fibrinogen are coordinately up-regulated. Both albumin and fibrinogen are lost in peritoneal dialysis fluid. To compensate protein loss, albumin synthesis is up-regulated, but the response, in contrast to predialysis patients, does not fully correct plasma albumin concentrations in peritoneal dialysis patients. The increase in fibrinogen synthesis introduces an independent risk factor for atherosclerosis, since plasma fibrinogen pool is enlarged.
[17]
Szeto CC, Chow KM, Lam CW, et al. Peritoneal albumin excretion is a strong predictor of cardiovascular events in peritoneal dialysis patients: a prospective cohort study[J]. Perit Dial Int, 2005, 25(5): 445-452.
Microalbuminuria is a marker of systemic endothelial dysfunction. We hypothesize that peritoneal albumin excretion in peritoneal dialysis (PD) patients, which is conceptually analogous to microalbuminuria in nonuremic patients, can predict cardiovascular disease in new PD patients.
[18]
Weir MR. Microalbuminuria and cardiovascular disease[J]. Clin J Am Soc Nephrol, 2007, 2(3): 581-590. DOI: 10.2215/CJN.03190906.
[19]
Sánchez-Villanueva R, Bajo A, Del Peso G, et al. Higher daily peritoneal protein clearance when initiating peritoneal dialysis is independently associated with peripheral arterial disease (PAD): a possible new marker of systemic endothelial dysfunction?[J]. Nephrol Dial Transplant, 2009, 24(3): 1009-1014. DOI: 10.1093/ndt/gfn595.
[20]
Lee H, Hwang YH, Jung JY, et al. Comparison of vascular calcification scoring systems using plain radiographs to predict vascular stiffness in peritoneal dialysis patients[J]. Nephrology (Carlton), 2011, 16(7): 656-662. DOI: 10.1111/j.1440-1797.2011.01476.x.
[21]
Dong J, Xu Y, Li Y, et al. Does association with volume status and inflammation account for the increased death risk from high peritoneal protein clearance in peritoneal dialysis?[J]. Blood Purif, 2010, 30(2): 127-134. DOI: 10.1159/000320150.
<i>Objective:</i> To determine if the association between high peritoneal protein clearance (PrC) and increased all-cause mortality is explained by inflammation and volume overload in continuous ambulatory peritoneal dialysis patients. <i>Subjects and Methods:</i> A total of 216 incident patients were enrolled. Demographics, biochemistry, inflammatory and volume status, peritoneal transport rate, fluid and solute removal were collected at baseline. <i>Results:</i> The median PrC was 57.2 ml/day. A high PrC was associated with more severe inflammation and volume overload. Using a multivariate regression model, for every 1-ml/day increase in PrC, the adjusted HR was 1.06 (1.00–1.12; p = 0.046) for all-cause death adjusted for age, diabetes, hemoglobin and D/Pcr. The predictability of PrC for all-cause death remained the same or mildly changed after additionally adjusted for inflammatory and volume overload markers with HR of 1.07 (1.00–1.14; p = 0.043) and 1.05 (0.99–1.12; p = 0.08), respectively. <i>Conclusions:</i> Peritoneal PrC, although correlated with volume overload and inflammation, is largely an independent predictor of mortality.
[22]
Krediet RT, Yoowannakul S, Harris LS, et al. Relationships between peritoneal protein clearance and parameters of fluid status agree with clinical observations in other diseases that venous congestion increases microvascular protein escape[J]. Perit Dial Int, 2019, 39(2): 155-162. DOI: 10.3747/pdi.2018.00016.
Peritoneal effluent from peritoneal dialysis (PD) patients contains proteins, mainly transported from the circulation through large pores in the venular part of the peritoneal micro-vessels. Hydrostatic convection is the major driver for peritoneal protein transport, although in PD there is additional diffusion. Consequently, venous pressure may have a role in peritoneal protein transport. The aim of the study was to investigate the importance of venous congestion on the magnitude of peritoneal protein clearance in incident PD patients using non-invasive measurements.
[23]
Yoowannakul S, Harris LS, Davenport A. Peritoneal protein losses depend on more than just peritoneal dialysis modality and peritoneal membrane transporter status[J]. Ther Apher Dial, 2018, 22(2): 171-177. DOI: 10.1111/1744-9987.12647.
Peritoneal protein clearance (PPCl) depends upon vascular supply and size selective permeability. Some previous reports suggested PPCl can distinguish fast peritoneal membrane transport due to local or systemic inflammation. However, as studies have been discordant, we wished to determine factors associated with an increased PPCl. Consecutive patients starting peritoneal dialysis (PD) who were peritonitis‐free were studied. Data included a baseline peritoneal equilibration test (PET), measurement of dialysis adequacy, 24‐h dialysate PPCl and body composition measured by multifrequency bioimpedance. 411 patients, mean age 57.2 ± 16.6 years, 60.8% male, 39.4% diabetic, 20.2% treated by continuous ambulatory peritoneal dialysis (CAPD) were studied. Mean PET 4‐h Dialysate/Serum creatinine was 0.73 ± 0.13, with daily peritoneal protein loss 4.6 (3.3–6.4) g, and median PPCl 69.6 (49.1–99.6) mL/day. On multivariate analysis, PPCl was most strongly associated with CAPD (β 0.25, P &lt; 0.001), extracellular water (ECW)/total body water (TBW) ratio (β 0.21, P &lt; 0.001), skeletal muscle mass index (β 0.21, P &lt; 0.001), log N‐terminal brain natriuretic peptide (NT‐proBNP) (β 0.17, P = 0.001), faster PET transport (β 0.15, P = 0.005), and normalized nitrogen appearance rate (β 0.13, P = 0.008). In addition to the longer dwell times of CAPD, greater peritoneal creatinine clearance and faster PET transporter status, we observed an association between increased PPCl and ECW expansion, increased NT‐proBNP, estimated dietary protein intake and muscle mass, suggesting a link to sodium intake and sodium balance, increasing both ECW and conduit artery hydrostatic pressure resulting in greater vascular protein permeability. This latter association may explain reports linking PPCl to patient mortality.
[24]
Martínez-Quintana E, Sánchez-Matos MM, Estupiñán-León H, et al. Malnutrition is independently associated with an increased risk of major cardiovascular events in adult patients with congenital heart disease[J]. Nutr Metab Cardiovasc Dis, 2021, 31(2): 481-488. DOI: 10.1016/j.numecd.2020.09.026.
Malnutrition is found frequently during chronic diseases, and its prevalence and relation to disease outcome in adult patients with congenital heart disease (CHD) remains unknown.A cohort of 393 consecutive stable congenital heart disease (CHD) patients was followed up in a single dedicated clinical unit. Demographic, clinical and laboratory parameters, along with a nutritional risk index (NRI), were studied, as well as major acute cardiovascular events (MACE), defined as arterial thrombotic events, heart failure requiring hospitalization or cardiovascular and non-cardiovascular mortality. The median age of the patients was 23 years (17-35) and 225 (57%) were males. Median plasma albumin concentration was 4.5 (4.2-4.7) g/dL, the body mass index was 23 (21-27) kg/m, the NRI was 112 (106-118), and 33 (8%) patients showed malnutrition (NIR<100). A worse NYHA functional class (II and III), total cholesterol and serum glucose levels were significant risk factors associated with malnutrition (NRI<100) in CHD patients. During a median follow-up of 8 (5-10) years, 39 (10%) CHD patients suffered a MACE. Multivariable Cox regression analysis showed that older patients (years) [HR 1.06 (1.04-1.09), p < 0.001], CHD patients with great anatomical complexity [HR 4.24 (2.17-8.27), p < 0.001] and those with a lower NRI [HR 0.95 (0.93-0.98), p = 0.001] had a significant worse MACE-free survival, being the NRI a better predictor of MACE than albumin concentration.A low NRI is independently associated with a significant increased risk of MACE in CHD patients.Copyright © 2020 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.

Funding

National Natural Science Foundation of China(81370864)
National Natural Science Foundation of China(81670691)
Shanghai Municipal Education Commission Gaofeng Clinical Medicine Grant(20152211)
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