Study on the management effect of chronic disease intelligent information management platform in post percutaneous coronary intervention patients.

IF 1.4 4区医学 Q4 ENGINEERING, BIOMEDICAL

Technology and Health Care Pub Date : 2024-07-08 DOI:10.3233/THC-240621

Xiaohuan Teng, Yanrong Sun, Landi Zhao, Yingxian Kang

{"title":"Study on the management effect of chronic disease intelligent information management platform in post percutaneous coronary intervention patients.","authors":"Xiaohuan Teng, Yanrong Sun, Landi Zhao, Yingxian Kang","doi":"10.3233/THC-240621","DOIUrl":null,"url":null,"abstract":"Background: In 2019, approximately 330 million individuals in China were affected by cardiovascular diseases, with 11.4 million cases specifically attributed to coronary artery disease (CAD). A national public health report indicated that the mortality rate for CAD ranged from 121.59 to 130.14 per 100,000 individuals in 2019. The treatments for CAD include lifestyle changes, medications, percutaneous coronary intervention (PCI) and coronary artery bypass grafting.Objective: To investigate the management effect of a digital health program in patients with coronary artery disease (CAD) after percutaneous coronary intervention (PCI).Methods: This retrospective study compares blood pressure, blood glucose, low-density lipoprotein cholesterol (LDL-C), medication adherence, lifestyle modification, and readmission rate between digital health users and traditional follow-up in post-PCI CAD patients.Results: In this study of 698 CAD patients, the 6-month readmission rate of all patients was 27.4%, with digital health users showing lower rates than those in traditional follow-up (22.6% vs. 32.1%, p= 0.005). Digital health users had significantly higher target achievements rates in blood pressure (79.7% vs. 54.7%, p< 0.001), blood glucose (98.9% vs. 82.5%, p< 0.001) and LDL-C level (71.3% vs. 52.7%, p< 0.001) at 6-month post-PCI. The digital health group had more patients adopting lifestyle changes, including quitting smoking, maintaining a healthy diet, and exercising regularly. In risk factor analysis, digital health utilization (OR = 0.60, 95%CI: 0.40-0.90, p= 0.014) and multivessel disease (double: OR = 1.72, 95%CI: 1.09-2.72, p= 0.02; triple: OR = 2.59, 95%CI: 1.61-4.17, p< 0.001) were independent predictors of CAD-related cardiovascular readmissions.Conclusions: Post-PCI patients using digital health platforms exhibited improved blood pressure, glucose, and LDL-C control, greater treatment adherence, enhanced lifestyle changes, and reduced six-month readmission rates versus those with traditional follow-up.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology and Health Care","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3233/THC-240621","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}

引用次数: 0

Abstract

Background: In 2019, approximately 330 million individuals in China were affected by cardiovascular diseases, with 11.4 million cases specifically attributed to coronary artery disease (CAD). A national public health report indicated that the mortality rate for CAD ranged from 121.59 to 130.14 per 100,000 individuals in 2019. The treatments for CAD include lifestyle changes, medications, percutaneous coronary intervention (PCI) and coronary artery bypass grafting.

Objective: To investigate the management effect of a digital health program in patients with coronary artery disease (CAD) after percutaneous coronary intervention (PCI).

Methods: This retrospective study compares blood pressure, blood glucose, low-density lipoprotein cholesterol (LDL-C), medication adherence, lifestyle modification, and readmission rate between digital health users and traditional follow-up in post-PCI CAD patients.

Results: In this study of 698 CAD patients, the 6-month readmission rate of all patients was 27.4%, with digital health users showing lower rates than those in traditional follow-up (22.6% vs. 32.1%, p= 0.005). Digital health users had significantly higher target achievements rates in blood pressure (79.7% vs. 54.7%, p< 0.001), blood glucose (98.9% vs. 82.5%, p< 0.001) and LDL-C level (71.3% vs. 52.7%, p< 0.001) at 6-month post-PCI. The digital health group had more patients adopting lifestyle changes, including quitting smoking, maintaining a healthy diet, and exercising regularly. In risk factor analysis, digital health utilization (OR = 0.60, 95%CI: 0.40-0.90, p= 0.014) and multivessel disease (double: OR = 1.72, 95%CI: 1.09-2.72, p= 0.02; triple: OR = 2.59, 95%CI: 1.61-4.17, p< 0.001) were independent predictors of CAD-related cardiovascular readmissions.

Conclusions: Post-PCI patients using digital health platforms exhibited improved blood pressure, glucose, and LDL-C control, greater treatment adherence, enhanced lifestyle changes, and reduced six-month readmission rates versus those with traditional follow-up.

查看原文本刊更多论文

慢性病智能信息管理平台在经皮冠状动脉介入术后患者中的管理效果研究。

背景：2019 年，中国约有 3.3 亿人受到心血管疾病的影响，其中 1140 万例具体归因于冠状动脉疾病（CAD）。一份国家公共卫生报告显示，2019 年，每 10 万人中 CAD 死亡率为 121.59 至 130.14 例。治疗冠心病的方法包括改变生活方式、药物治疗、经皮冠状动脉介入治疗（PCI）和冠状动脉搭桥术：研究冠状动脉疾病（CAD）患者经皮冠状动脉介入治疗（PCI）后数字健康计划的管理效果：这项回顾性研究比较了PCI术后冠心病患者的血压、血糖、低密度脂蛋白胆固醇（LDL-C）、服药依从性、生活方式改变以及数字健康用户与传统随访者的再入院率：在这项针对 698 名 CAD 患者的研究中，所有患者的 6 个月再入院率为 27.4%，数字健康用户的再入院率低于传统随访用户（22.6% 对 32.1%，P= 0.005）。数字健康用户在PCI术后6个月的血压（79.7% vs. 54.7%，p< 0.001）、血糖（98.9% vs. 82.5%，p< 0.001）和低密度脂蛋白胆固醇水平（71.3% vs. 52.7%，p< 0.001）方面的目标达成率明显更高。数字健康组中有更多患者改变了生活方式，包括戒烟、保持健康饮食和定期锻炼。在风险因素分析中，数字健康利用率（OR = 0.60，95%CI：0.40-0.90，p= 0.014）和多血管疾病（双：OR=1.72，95%CI：1.09-2.72，p= 0.02；三重：OR=2.59，95%CI：1.09-2.72，p= 0.02：OR=2.59，95%CI：1.61-4.17，p< 0.001）是CAD相关心血管再入院的独立预测因素：与传统随访相比，使用数字健康平台的PCI术后患者的血压、血糖和低密度脂蛋白胆固醇控制得到改善，治疗依从性更高，生活方式改变得到加强，6个月再入院率降低。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Technology and Health Care HEALTH CARE SCIENCES & SERVICES-ENGINEERING, BIOMEDICAL

CiteScore

2.10

自引率

6.20%

发文量

282

审稿时长

>12 weeks

期刊介绍： Technology and Health Care is intended to serve as a forum for the presentation of original articles and technical notes, observing rigorous scientific standards. Furthermore, upon invitation, reviews, tutorials, discussion papers and minisymposia are featured. The main focus of THC is related to the overlapping areas of engineering and medicine. The following types of contributions are considered: 1.Original articles: New concepts, procedures and devices associated with the use of technology in medical research and clinical practice are presented to a readership with a widespread background in engineering and/or medicine. In particular, the clinical benefit deriving from the application of engineering methods and devices in clinical medicine should be demonstrated. Typically, full length original contributions have a length of 4000 words, thereby taking duly into account figures and tables. 2.Technical Notes and Short Communications: Technical Notes relate to novel technical developments with relevance for clinical medicine. In Short Communications, clinical applications are shortly described. 3.Both Technical Notes and Short Communications typically have a length of 1500 words. Reviews and Tutorials (upon invitation only): Tutorial and educational articles for persons with a primarily medical background on principles of engineering with particular significance for biomedical applications and vice versa are presented. The Editorial Board is responsible for the selection of topics. 4.Minisymposia (upon invitation only): Under the leadership of a Special Editor, controversial or important issues relating to health care are highlighted and discussed by various authors. 5.Letters to the Editors: Discussions or short statements (not indexed).