[1]牛静 金新 马卉 侯萍 辛微 马利祥.冠心病患者PCI术后康复强度-时间依从性轨迹及预测因素分析[J].心血管病学进展,2024,(10):935.[doi:10.16806/j.cnki.issn.1004-3934.2024.10.014]
 NIU JingJIN XinMA HuiHOU PingXIN WeiMA Lixiang.Analysis of Rehabilitation Intensity-Time Adherence Trajectories and?redictive Factors In Patients With Coronary Heart Disease After PCI[J].Advances in Cardiovascular Diseases,2024,(10):935.[doi:10.16806/j.cnki.issn.1004-3934.2024.10.014]
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冠心病患者PCI术后康复强度-时间依从性轨迹及预测因素分析()
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《心血管病学进展》[ISSN:51-1187/R/CN:1004-3934]

卷:
期数:
2024年10期
页码:
935
栏目:
论著
出版日期:
2024-10-25

文章信息/Info

Title:
Analysis of Rehabilitation Intensity-Time Adherence Trajectories and?redictive Factors In Patients With Coronary Heart Disease After PCI
作者:
牛静1 金新 2 马卉 1 侯萍 1 辛微 1 马利祥 1
(1.秦皇岛市第一医院导管室,河北 秦皇岛 066000;2.秦皇岛市第一医院心脏康复科,河北 秦皇岛 066000)
Author(s):
NIU Jing1JIN Xin2MA Hui1HOU Ping1XIN Wei1MA Lixiang1
?1.The First Hospital of Qinhuangdao,Qinhuangdao 066000,Hebei,China;2.Department of Cardiac Rehabilitation,The First Hospital of Qinhuangdao,Qinhuangdao 066000,Hebei,China)
关键词:
冠心病经皮冠状动脉介入治疗康复强度-时间依从性轨迹预测因素
Keywords:
Coronary heart diseasePercutaneous coronary interventionRehabilitation intensity-time complianceTrajectoryPredictive factor
DOI:
10.16806/j.cnki.issn.1004-3934.2024.10.014
摘要:
目的 探究冠心病患者经皮冠状动脉介入治疗(PCI)术后康复强度-时间依从性轨迹及其预测因素。方法 选择2022年4月—2023年4月于秦皇岛市第一医院行PCI的冠心病患者120例为研究对象,进行为期1年的随访,使用运动日志记录监测强度-时间依从性。使用潜类别增长模型(LCGM)确定术后康复强度-时间依从性的发展轨迹。logistic回归分析不同轨迹类别的预测因素。结果 LCGM将患者术后康复强度-时间依从性变化分为低-下降组(n=35,29.17%)、高-上升组(n=15,12.50%)、持续依从组(n=70,58.33%)。以低-下降组为参照组,高-上升组和持续依从组患者年龄更大、病程更短、病变程度更轻、心功能分级更低、抑郁程度更轻(P<0.05);持续依从组患者的医患关系更好(P<0.05)。结论 冠心病患者PCI术后康复强度-时间依从性呈多类别曲线增长趋势,根据其时变特点及影响因素,实施强化干预,可提高患者康复依从性水平。
Abstract:
Objective Explore the coronary heart disease patients with percutaneous coronary intervention (PCI) postoperative rehabilitation intensity-time adherence trajectory and the forecast factors. Methods A total of 120 patients with coronary heart disease who underwent PCI in the First Hospital of Qinhuangdao from April 2022 to April 2023 were selected as the research objects. They were followed up for a period of one year. The exercise diary was used to monitor the intensive-time compliance. Latent class growth model (LCGM) was used to determine the development trajectory of postoperative rehabilitation intensity-time compliance. Logistic regression was used to analyze the predictors of different trajectory categories. Results According to LCGM,the changes of postoperative rehabilitation intensity-time compliance of patients were divided into low-decline group (n=35,29.17%),high-rise group (n=15,12.50%),and continuous compliance group (n=70,58.33%). Patients in the low-descending group as the reference group,the high-ascending group and the continuous compliance group had older age,shorter disease course,less pathological degree,lower cardiac function grade and less depression degree (P<0.05);patients in the continuous compliance group had better doctor-patient relationship (P<0.05). Conclusion The rehabilitation intension-time compliance of patients with coronary heart disease after PCI shows a multi-category curve growth trend. According to its time-varying characteristics and influencing factors,the implementation of intensive intervention can improve the rehabilitation compliance of patients

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