Glucose Exposure in Peritoneal Dialysis Is a Significant Factor Predicting Peritonitis

Author:

Uiterwijk HermaORCID,Franssen Casper F.M.,Kuipers JohannaORCID,Westerhuis Ralf,Nauta Ferdau L.

Abstract

Introduction: Loss of residual renal function (RRF) as well as high peritoneal glucose exposure are associated with increased peritonitis frequency in peritoneal dialysis (PD) patients. Our objective was to investigate the contribution of RRF and peritoneal glucose exposure to peritonitis in PD patients. Methods: In this prospective longitudinal cohort study, 105 incident end-stage renal disease patients that started PD between January 2006 and 2015 were studied. Follow-up was 5 years with censoring at death or switch to another treatment modality. Cox regression models were used to calculate the association between glucose exposure, RRF, and peritonitis. Kaplan-Meier analysis was used to examine the difference in occurrence of peritonitis between patients with high and low glucose exposure and between those with and without residual diuresis. Results: One hundred and five patients were followed for a mean of 23 months. Fifty-one patients developed a peritonitis. Cox regression models at 6 months showed that glucose exposure and not residual diuresis significantly predicted PD peritonitis. Kaplan-Meier analysis after 6 months of follow-up showed that time to first PD peritonitis was significantly longer in the low glucose exposure group. Similarly, patients with RRF had a significantly longer interval to first peritonitis compared to patients without RRF. Conclusion: A higher exposure to glucose rather than loss of RRF is associated with an increased risk of peritonitis. This confirms the detrimental effects of glycemic harm to the peritoneal host defense on invading microorganisms and argues for the use of the lowest PD glucose concentrations possible.

Publisher

S. Karger AG

Subject

Nephrology

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3