Evidence map›Paper›PMID 39031412›Full record

ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2024

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

Xiaohuan Teng, Yanrong Sun, Landi Zhao, Yingxian Kang

Abstract read
In one paragraph

Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xiaohuan TengDepartment of Cardiology, Central Hospital of Qinghe County, Xingtai, Hebei, China.
Yanrong SunDepartment of Cardiology, Central Hospital of Qinghe County, Xingtai, Hebei, China.
Landi ZhaoDepartment of Cardiology, Central Hospital of Qinghe County, Xingtai, Hebei, China.
Yingxian KangDepartment of Medical Education, Central Hospital of Qinghe County, Xingtai, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 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.

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

methodsThis 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.

resultsIn 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.

conclusionsPost-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.

Indexed as

Coronary Artery DiseasePatient ReadmissionPercutaneous Coronary InterventionAgedBlood GlucoseBlood PressureChinaCholesterol, LDLChronic DiseaseDrug MonitoringFemaleHumansLife StyleMaleMiddle AgedRetrospective StudiesBlood GlucoseCholesterol, LDLCoronary artery diseasedigital healthdisease managementPCI

Identifiers

PMID39031412
PMCPMC11613073

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.