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通过环境传感器衍生的数字生物标志物检测主动脉瓣狭窄失代偿早期迹象的病例报告。

Case report of early signs of aortic stenosis decompensation detected via ambient sensor-derived digital biomarkers.

作者信息

Arenja Nisha, Schütz Narayan, Buluschek Philipp, Nef Tobias, Saner Hugo

机构信息

Solothurner Spitäler AG, Schöngrünstrasse 36A, 4500 Solothurn, Switzerland.

Stanford University, Stanford Way, Stanford, CA 94305, USA.

出版信息

Eur Heart J Case Rep. 2024 Dec 11;9(2):ytae655. doi: 10.1093/ehjcr/ytae655. eCollection 2025 Feb.

Abstract

BACKGROUND

Aortic stenosis is a progressive condition with a grim prognosis, underscoring the importance of timely intervention to prevent decompensation. Home monitoring systems, particularly those utilizing ambient sensors, offer promise in detecting early signs of deterioration.

CASE SUMMARY

We present the case of an 89-year-old woman who was asymptomatic but monitored using such a system prior to experiencing acute decompensation. Key clinical indicators, including increased night-time heart rate, respiration rate, toss and turns in bed, and nocturia, were observed several months before hospitalization. Additionally, reduced physical activity and increased toilet visits were noted.

DISCUSSION

These findings highlight the potential of ambient sensor systems in identifying pre-clinical stages of cardiac decompensation, especially in severe aortic stenosis cases. Integrating ambient sensor systems into routine clinical practice holds promise for enhancing proactive management strategies and reducing adverse outcomes associated with cardiovascular disease progression.

摘要

背景

主动脉瓣狭窄是一种预后不良的进行性疾病,凸显了及时干预以防止失代偿的重要性。家庭监测系统,尤其是那些使用环境传感器的系统,在检测病情恶化的早期迹象方面具有前景。

病例摘要

我们报告一例89岁女性病例,该患者无症状,但在急性失代偿前使用此类系统进行监测。在住院前几个月观察到关键临床指标,包括夜间心率增加、呼吸频率增加、在床上辗转反侧以及夜尿症。此外,还注意到身体活动减少和上厕所次数增加。

讨论

这些发现凸显了环境传感器系统在识别心脏失代偿临床前期阶段的潜力,尤其是在严重主动脉瓣狭窄病例中。将环境传感器系统整合到常规临床实践中有望加强主动管理策略并减少与心血管疾病进展相关的不良后果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6753/11817136/8acb14e95d76/ytae655f1.jpg

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