Costa Jérôme, Durdon Priscillia, Dangy Julie, Lombardot Lucie, Trousselle Louise, Pierre Marine, Nazeyrollas Pierre, Metz Damien
Centre Hospitalier Universitaire de Reims, Service de cardiologie, Reims, France.
Centre Hospitalier Universitaire de Reims, Service de cardiologie, Reims, France.
Ann Cardiol Angeiol (Paris). 2025 Jun;74(3):101892. doi: 10.1016/j.ancard.2025.101892. Epub 2025 May 6.
Heart failure (HF) is a severe condition associated with high rates of hospitalization and mortality. Early outpatient detection of symptoms and weight gain through remote medical monitoring of HF (HF-RM) could improve patient prognosis.
To evaluate the effectiveness of HF-RM in managing congestion in HF outpatients and to analyze event rates over 12 months (HF-related hospitalizations and all-cause mortality), as well as associated costs.
We included patients enrolled in the HF-RM at our hospital from July 2020 to December 2022. For each patient, HF-RM relied on daily transmission of weight and symptoms via a connected scale. Any alerts related to weight gain or the onset of new symptoms were managed within 48 hours by the specialized HF team, including a telephone contact, NT-proBNP testing, and treatment adjustment if necessary. Data on HF-related hospitalizations and vital status were collected over a 12-month period before and after the implementation of HF-RM. Event rates were compared to expected values at the onset of HF-RM, based on patient profiles and data from the ESC-HF-LT registry. Cost analysis included costs associated with HF-RM, the specialized HF nurse, biological tests, and HF hospitalizations.
Among the 147 patients included, the average age was 60 ± 12 years, and 75% were male. The average ejection fraction (EF) was 33 ± 11%, with 76% of patients presenting with reduced EF. During the HF-RM period, 85 alerts (54% of patients) led to a significant reduction in weight and symptoms within 30 days. The hospitalization rate decreased from 44.9% before the initiation of HF-RM to 11.6% afterward (p < 0.0001). The 12-month event rate was 15%, significantly lower than the expected 24.5% (p = 0.0002). The absence of transmitted alerts was strongly correlated with the absence of events (negative predictive value of 95.2%). The number of days spent at home increased, and costs significantly decreased.
HF-RM is associated with improved outpatient congestion control, reduced hospitalizations, and decreased healthcare costs. Further prospective, randomized studies are needed to better assess the impact of HF-RM on the progression of HF and its costs.
心力衰竭(HF)是一种严重疾病,与高住院率和死亡率相关。通过对心力衰竭进行远程医疗监测(HF-RM)在门诊早期发现症状和体重增加可改善患者预后。
评估HF-RM在管理心力衰竭门诊患者充血情况方面的有效性,并分析12个月内的事件发生率(与心力衰竭相关的住院和全因死亡率)以及相关成本。
我们纳入了2020年7月至2022年12月在我院参加HF-RM的患者。对于每位患者,HF-RM依赖于通过连接秤每日传输体重和症状。任何与体重增加或新症状发作相关的警报均由专业的心力衰竭团队在48小时内进行处理,包括电话联系、NT-proBNP检测以及必要时的治疗调整。在实施HF-RM前后的12个月内收集与心力衰竭相关的住院和生命状态数据。根据患者资料和欧洲心脏病学会心力衰竭长期注册研究(ESC-HF-LT)的数据,将事件发生率与HF-RM开始时的预期值进行比较。成本分析包括与HF-RM、专业心力衰竭护士、生物学检测和心力衰竭住院相关的成本。
在纳入的147例患者中,平均年龄为60±12岁,75%为男性。平均射血分数(EF)为33±11%,76%的患者射血分数降低。在HF-RM期间,85次警报(占患者的54%)导致体重和症状在30天内显著减轻。住院率从HF-RM开始前的44.9%降至之后的11.6%(p<0.0001)。12个月的事件发生率为15%,显著低于预期的24.5%(p=0.0002)。未传输警报与无事件密切相关(阴性预测值为95.2%)。在家的天数增加,成本显著降低。
HF-RM与改善门诊充血控制、减少住院和降低医疗成本相关。需要进一步进行前瞻性随机研究,以更好地评估HF-RM对心力衰竭进展及其成本的影响。