• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

住院患者和腹膜透析技术失败率的远程治疗监测。

Remote Treatment Monitoring on Hospitalization and Technique Failure Rates in Peritoneal Dialysis Patients.

机构信息

Global Medical Office, Fresenius Medical Care, Waltham, Massachusetts.

Maastricht University Medical Center, Maastricht, The Netherlands; and.

出版信息

Kidney360. 2020 Feb 17;1(3):191-202. doi: 10.34067/KID.0000302019. eCollection 2020 Mar 26.

DOI:10.34067/KID.0000302019
PMID:35368632
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8809254/
Abstract

BACKGROUND

An integrated kidney disease healthcare company implemented a peritoneal dialysis (PD) remote treatment monitoring (RTM) application in 2016. We assessed if RTM utilization associates with hospitalization and technique failure rates.

METHODS

We used data from adult (age ≥18 years) patients on PD treated from October 2016 through May 2019 who registered online for the RTM. Patients were classified by RTM use during a 30-day baseline after registration. Groups were: nonusers (never entered data), moderate users (entered one to 15 treatments), and frequent users (entered >15 treatments). We compared hospital admission/day and sustained technique failure (required >6 consecutive weeks of hemodialysis) rates over 3, 6, 9, and 12 months of follow-up using Poisson and Cox models adjusted for patient/clinical characteristics.

RESULTS

Among 6343 patients, 65% were nonusers, 11% were moderate users, and 25% were frequent users. Incidence rate of hospital admission was 22% (incidence rate ratio [IRR]=0.78; =0.002), 24% (IRR=0.76; <0.001), 23% (IRR=0.77; ≤0.001), and 26% (IRR=0.74; ≤0.001) lower in frequent users after 3, 6, 9, and 12 months, respectively, versus nonusers. Incidence rate of hospital days was 38% (IRR=0.62; =0.013), 35% (IRR=0.65; =0.001), 34% (IRR=0.66; ≤0.001), and 32% (IRR=0.68; <0.001) lower in frequent users after 3, 6, 9, and 12 months, respectively, versus nonusers. Sustained technique failure risk at 3, 6, 9, and 12 months was 33% (hazard ratio [HR]=0.67; =0.020), 31% (HR=0.69; =0.003), 31% (HR=0.69; =0.001), and 27% (HR=0.73; =0.001) lower, respectively, in frequent users versus nonusers. Among a subgroup of survivors of the 12-month follow-up, sustained technique failure risk was 26% (HR=0.74; =0.023) and 21% (HR=0.79; =0.054) lower after 9 and 12 months, respectively, in frequent users versus nonusers.

CONCLUSIONS

Our findings suggest frequent use of an RTM application associates with less hospital admissions, shorter hospital length of stay, and lower technique failure rates. Adoption of RTM applications may have the potential to improve timely identification/intervention of complications.

摘要

背景

一家综合性肾脏病医疗保健公司于 2016 年实施了腹膜透析(PD)远程治疗监测(RTM)应用程序。我们评估了 RTM 的使用是否与住院率和技术失败率有关。

方法

我们使用了 2016 年 10 月至 2019 年 5 月期间接受 PD 治疗的成年(年龄≥18 岁)患者的数据,这些患者在网上注册了 RTM。根据注册后 30 天的基线期内 RTM 的使用情况对患者进行分类。组分为:非使用者(从未输入数据)、中度使用者(输入 1 至 15 次治疗)和频繁使用者(输入>15 次治疗)。我们使用泊松和 Cox 模型比较了 3、6、9 和 12 个月随访期间的住院日/天率和持续技术失败率(需要连续 6 周以上血液透析),调整了患者/临床特征。

结果

在 6343 名患者中,65%为非使用者,11%为中度使用者,25%为频繁使用者。与非使用者相比,频繁使用者在 3、6、9 和 12 个月后,住院率分别降低了 22%(发病率比[IRR]=0.78;=0.002)、24%(IRR=0.76;<0.001)、23%(IRR=0.77;≤0.001)和 26%(IRR=0.74;≤0.001)。住院天数的发病率分别降低了 38%(IRR=0.62;=0.013)、35%(IRR=0.65;=0.001)、34%(IRR=0.66;≤0.001)和 32%(IRR=0.68;<0.001),在 3、6、9 和 12 个月后,频繁使用者与非使用者相比。3、6、9 和 12 个月时持续技术失败风险分别降低了 33%(风险比[HR]=0.67;=0.020)、31%(HR=0.69;=0.003)、31%(HR=0.69;=0.001)和 27%(HR=0.73;=0.001),频繁使用者与非使用者相比。在 12 个月随访的幸存者亚组中,9 个月和 12 个月时,频繁使用者的持续技术失败风险分别降低了 26%(HR=0.74;=0.023)和 21%(HR=0.79;=0.054)。

结论

我们的研究结果表明,频繁使用 RTM 应用程序与住院次数减少、住院时间缩短和技术失败率降低有关。RTM 应用程序的采用有可能提高对并发症的及时识别/干预能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72e2/8809254/5094687459f2/KID.0000302019absf1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72e2/8809254/5094687459f2/KID.0000302019absf1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72e2/8809254/5094687459f2/KID.0000302019absf1.jpg

相似文献

1
Remote Treatment Monitoring on Hospitalization and Technique Failure Rates in Peritoneal Dialysis Patients.住院患者和腹膜透析技术失败率的远程治疗监测。
Kidney360. 2020 Feb 17;1(3):191-202. doi: 10.34067/KID.0000302019. eCollection 2020 Mar 26.
2
The Effect of Exit-Site Antibacterial Honey Versus Nasal Mupirocin Prophylaxis on the Microbiology and Outcomes of Peritoneal Dialysis-Associated Peritonitis and Exit-Site Infections: A Sub-Study of the Honeypot Trial.出口部位抗菌蜂蜜与鼻用莫匹罗星预防对腹膜透析相关腹膜炎和出口部位感染的微生物学及结局的影响:蜜罐试验的一项子研究
Perit Dial Int. 2015 Dec;35(7):712-21. doi: 10.3747/pdi.2014.00206. Epub 2015 Jul 29.
3
Mortality, Hospitalization, and Technique Failure in Daily Home Hemodialysis and Matched Peritoneal Dialysis Patients: A Matched Cohort Study.每日居家血液透析与匹配腹膜透析患者的死亡率、住院率和技术失败率:一项匹配队列研究。
Am J Kidney Dis. 2016 Jan;67(1):98-110. doi: 10.1053/j.ajkd.2015.07.014. Epub 2015 Aug 28.
4
The impact of treatment modality on infection-related hospitalization rates in peritoneal dialysis and hemodialysis patients.治疗方式对腹膜透析和血液透析患者感染相关住院率的影响。
Perit Dial Int. 2011 Jul-Aug;31(4):440-9. doi: 10.3747/pdi.2009.00224. Epub 2010 Jul 29.
5
Burden and causes of hospital admissions and readmissions in patients undergoing hemodialysis and peritoneal dialysis: a nationwide study.血液透析和腹膜透析患者住院及再入院的负担和原因:一项全国性研究。
J Nephrol. 2021 Dec;34(6):1949-1959. doi: 10.1007/s40620-021-01023-z. Epub 2021 May 13.
6
Remote Monitoring of Automated Peritoneal Dialysis Patients: Assessing Clinical and Economic Value.自动化腹膜透析患者的远程监测:评估临床和经济价值。
Telemed J E Health. 2018 Apr;24(4):315-323. doi: 10.1089/tmj.2017.0046. Epub 2017 Oct 12.
7
Clinical outcome of home hemodialysis in patients with previous peritoneal dialysis exposure: evaluation of the integrated home dialysis model.既往接受过腹膜透析的患者进行家庭血液透析的临床结局:综合家庭透析模式的评估
Perit Dial Int. 2015 May-Jun;35(3):316-23. doi: 10.3747/pdi.2013.00163. Epub 2014 Mar 1.
8
Association between Dialysis Modality and Infectious Diseases: Peritoneal Dialysis versus Hemodialysis.透析方式与感染性疾病的关联:腹膜透析与血液透析。
Blood Purif. 2021;50(3):370-379. doi: 10.1159/000511041. Epub 2020 Oct 29.
9
A comparison of the risk of congestive heart failure-related hospitalizations in patients receiving hemodialysis and peritoneal dialysis - A retrospective propensity score-matched study.血液透析和腹膜透析患者充血性心力衰竭相关住院风险的比较 - 一项回顾性倾向评分匹配研究。
PLoS One. 2019 Oct 1;14(10):e0223336. doi: 10.1371/journal.pone.0223336. eCollection 2019.
10
The association between peritoneal dialysis modality and peritonitis.腹膜透析方式与腹膜炎的关系。
Clin J Am Soc Nephrol. 2014 Jun 6;9(6):1091-7. doi: 10.2215/CJN.09730913. Epub 2014 Mar 13.

引用本文的文献

1
A Comparison of Hospitalization Outcomes Between Peritoneal Dialysis and Home Hemodialysis Patients by Sex and Race.按性别和种族比较腹膜透析与家庭血液透析患者的住院结局
Kidney Int Rep. 2025 Feb 26;10(5):1548-1558. doi: 10.1016/j.ekir.2025.02.012. eCollection 2025 May.
2
Implementation and evaluation of a smartphone-based application for continuous ambulatory peritoneal dialysis (CAPD) patients: a prospective feasibility cohort study and collaborative effort of patients and the peritoneal dialysis team.一款基于智能手机的持续性非卧床腹膜透析(CAPD)患者应用程序的实施与评估:一项前瞻性可行性队列研究以及患者与腹膜透析团队的合作成果
Clin Kidney J. 2025 Apr 15;18(5):sfaf102. doi: 10.1093/ckj/sfaf102. eCollection 2025 May.
3

本文引用的文献

1
Remote Patient Monitoring Program in Automated Peritoneal Dialysis: Impact on Hospitalizations.自动化腹膜透析患者远程监测项目:对住院的影响。
Perit Dial Int. 2019 Sep-Oct;39(5):472-478. doi: 10.3747/pdi.2018.00287. Epub 2019 Jul 23.
2
US Renal Data System 2018 Annual Data Report: Epidemiology of Kidney Disease in the United States.美国肾脏数据系统2018年年报:美国肾脏疾病流行病学
Am J Kidney Dis. 2019 Mar;73(3 Suppl 1):A7-A8. doi: 10.1053/j.ajkd.2019.01.001. Epub 2019 Feb 21.
3
Impact of remote biometric monitoring on cost and hospitalization outcomes in peritoneal dialysis.
Telehealth in the US for patients with end-stage kidney disease: its utilization and impact on social, economic and health outcomes.
美国针对终末期肾病患者的远程医疗:其应用及其对社会、经济和健康结局的影响。
Mhealth. 2025 Mar 10;11:22. doi: 10.21037/mhealth-24-61. eCollection 2025.
4
Use of eHealth and remote patient monitoring: a tool to support home dialysis patients, with an emphasis on peritoneal dialysis.电子健康与远程患者监测的应用:一种支持家庭透析患者的工具,重点关注腹膜透析。
Clin Kidney J. 2024 Jun 5;17(Suppl 1):i53-i61. doi: 10.1093/ckj/sfae081. eCollection 2024 May.
5
Impact of Remote Monitoring on Standardized Outcomes in Nephrology-Peritoneal Dialysis.远程监测对肾脏病学——腹膜透析标准化结局的影响
Kidney Int Rep. 2023 Nov 5;9(2):266-276. doi: 10.1016/j.ekir.2023.10.034. eCollection 2024 Feb.
6
Lab on a Chip Device for Diagnostic Evaluation and Management in Chronic Renal Disease: A Change Promoting Approach in the Patients' Follow Up.芯片实验室诊断设备在慢性肾病中的评估与管理:一种改善患者随访的变革方法。
Biosensors (Basel). 2023 Mar 12;13(3):373. doi: 10.3390/bios13030373.
7
Effect of remote patient monitoring for patients with chronic kidney disease who perform dialysis at home: a systematic review.远程患者监测对在家行透析的慢性肾脏病患者的影响:系统评价。
BMJ Open. 2022 Dec 7;12(12):e061772. doi: 10.1136/bmjopen-2022-061772.
8
Should More Patients with Kidney Failure Bring Treatment Home? What We Have Learned from COVID-19.更多肾衰竭患者应将治疗带回家吗?我们从新冠疫情中学到了什么。
Kidney Dis (Basel). 2022 Jun 15;8(5):357-367. doi: 10.1159/000525046. eCollection 2022 Nov.
9
Impact of telehealth interventions added to peritoneal dialysis-care: a systematic review.远程医疗干预对腹膜透析护理的影响:系统评价。
BMC Nephrol. 2022 Aug 23;23(1):292. doi: 10.1186/s12882-022-02869-6.
10
Comparing the effect of peritoneal dialysis cycler type on patient-reported satisfaction, support needs and treatments.比较腹膜透析机类型对患者报告的满意度、支持需求和治疗的影响。
BMC Nephrol. 2022 Jun 21;23(1):217. doi: 10.1186/s12882-022-02854-z.
远程生物计量监测对腹膜透析的成本和住院结局的影响。
J Telemed Telecare. 2019 Dec;25(10):581-586. doi: 10.1177/1357633X18784417. Epub 2018 Jul 12.
4
Evaluating the prevalence and opportunity for technology use in chronic kidney disease patients: a cross-sectional study.评估慢性肾病患者使用技术的患病率和机会:一项横断面研究。
BMC Nephrol. 2018 Feb 2;19(1):28. doi: 10.1186/s12882-018-0830-8.
5
Relative risk of home hemodialysis attrition in patients using a telehealth platform.使用远程医疗平台的患者进行家庭血液透析流失的相对风险。
Hemodial Int. 2018 Jul;22(3):318-327. doi: 10.1111/hdi.12621. Epub 2017 Dec 6.
6
Clinical features of patients treated by peritoneal dialysis for over a decade.接受腹膜透析治疗超过十年患者的临床特征。
Am J Clin Exp Urol. 2017 Nov 9;5(3):49-54. eCollection 2017.
7
Remote Monitoring of Automated Peritoneal Dialysis Patients: Assessing Clinical and Economic Value.自动化腹膜透析患者的远程监测:评估临床和经济价值。
Telemed J E Health. 2018 Apr;24(4):315-323. doi: 10.1089/tmj.2017.0046. Epub 2017 Oct 12.
8
Perspectives from the Kidney Health Initiative on Advancing Technologies to Facilitate Remote Monitoring of Patient Self-Care in RRT.从肾脏健康倡议角度探讨推进技术以促进 RRT 患者自我护理的远程监测。
Clin J Am Soc Nephrol. 2017 Nov 7;12(11):1900-1909. doi: 10.2215/CJN.12781216. Epub 2017 Jul 14.
9
Telemedicine and Remote Monitoring: Supporting the Patient on Peritoneal Dialysis.远程医疗与远程监测:为腹膜透析患者提供支持
Perit Dial Int. 2016 Jul-Aug;36(4):362-6. doi: 10.3747/pdi.2015.00021.
10
The Current State of Peritoneal Dialysis.腹膜透析的现状
J Am Soc Nephrol. 2016 Nov;27(11):3238-3252. doi: 10.1681/ASN.2016010112. Epub 2016 Jun 23.