Department of Cardiology, Maastricht University Medical Centre, the Netherlands.
Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre, the Netherlands.
J Telemed Telecare. 2024 Jan;30(1):180-185. doi: 10.1177/1357633X211039404. Epub 2021 Sep 13.
Heart failure is a serious burden on health care systems due to frequent hospital admissions. Early recognition of outpatients at risk for clinical deterioration could prevent hospitalization. Still, the role of signs and symptoms in monitoring heart failure patients is not clear. The heart failure coach is a web-based telemonitoring application consisting of a 9-item questionnaire assessment of heart failure signs and symptoms and developed to identify outpatients at risk for clinical deterioration. If deterioration was suspected, patients were contacted by a heart failure nurse for further evaluation.
Heart failure coach questionnaires completed between 2015 and 2018 were collected from 287 patients, completing 18,176 questionnaires. Adverse events were defined as all-cause mortality, heart failure- or cardiac-related hospital admission or emergency cardiac care visits within 30 days after completion of each questionnaire. Multilevel logistic regression analyses were performed to assess the association between the heart failure coach questionnaire items and the odds of an adverse event.
No association between dyspnea and adverse events was observed (odds ratio 1.02, 95% confidence interval 0.79-1.30). Peripheral edema (odds ratio 2.21, 95% confidence interval 1.58-3.11), persistent chest pain (odds 2.06, 95% confidence interval 1.19-3.58), anxiety about heart failure (odds ratio 2.12, 95% confidence interval 1.44-3.13), and extensive struggle to perform daily activities (odds ratio 2.23, 95% confidence interval 1.38-3.62) were significantly associated with adverse outcome.
Regular assessment of more than the classical signs and symptoms may be helpful to identify heart failure patients at risk for clinical deterioration and should be an integrated part of heart failure telemonitoring programs.
心力衰竭给医疗系统带来了沉重负担,导致频繁住院。早期识别有临床恶化风险的门诊患者可预防住院。然而,体征和症状在心力衰竭患者监测中的作用尚不清楚。心力衰竭教练是一个基于网络的远程监测应用程序,由 9 项心力衰竭体征和症状问卷评估组成,旨在识别有临床恶化风险的门诊患者。如果怀疑病情恶化,心力衰竭护士会联系患者进行进一步评估。
收集了 2015 年至 2018 年间 287 名患者完成的 18176 份心力衰竭教练问卷。将 30 天内完成每次问卷后出现的全因死亡率、心力衰竭或心脏相关住院或紧急心脏护理就诊定义为不良事件。采用多水平逻辑回归分析评估心力衰竭教练问卷项目与不良事件发生几率之间的关系。
未观察到呼吸困难与不良事件之间存在关联(比值比 1.02,95%置信区间 0.79-1.30)。外周水肿(比值比 2.21,95%置信区间 1.58-3.11)、持续胸痛(比值比 2.06,95%置信区间 1.19-3.58)、对心力衰竭的焦虑(比值比 2.12,95%置信区间 1.44-3.13)以及进行日常活动时极度困难(比值比 2.23,95%置信区间 1.38-3.62)与不良结局显著相关。
定期评估不仅仅是经典的体征和症状可能有助于识别有临床恶化风险的心力衰竭患者,应成为心力衰竭远程监测计划的一个组成部分。