心衰中的声音生物标志物——AHF-Voice研究的设计、基本原理和基线特征。

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES
Frontiers in digital health Pub Date : 2025-05-02 eCollection Date: 2025-01-01 DOI:10.3389/fdgth.2025.1548600
Fabian Kerwagen, Maximilian Bauser, Magdalena Baur, Fabian Kraus, Caroline Morbach, Rüdiger Pryss, Kristen Rak, Stefan Frantz, Michael Weber, Julia Hoxha, Stefan Störk
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引用次数: 0

摘要

急性心力衰竭(AHF)是危及生命的疾病,也是住院治疗的常见原因。AHF的临床特征是体积超载,导致肺水肿和外周水肿,从而导致体重增加。通过提供一种无创、低屏障的监测工具,声音生物标志物有可能促进早期发现恶化的HF和预防AHF发作。AHF- voice研究是一项前瞻性单中心队列研究,旨在研究AHF发作期间和发作后的声音变化轨迹,识别潜在的声音生物标志物,并加强对这些声音变化背后的病理生理机制的理解。它将检查声音生物标志物的特征和决定因素,分析它们与患者临床状态的相关性,并将它们与心衰的其他临床参数进行比较。此外,它旨在确定特定的声乐生物标志物是否可以准确地绘制不同的HF表型,并评估它们与患者轨迹的关联。本研究对AHF住院患者在入院和出院时进行表型分析,并对其进行为期6个月的随访。在住院期间,使用专门设计的智能手机应用程序收集每日语音记录。出院后,患者被要求在随后的6个月里继续使用自己的智能手机进行每日语音记录。在医院和随访中评估患者报告的结果测量和身体成分。子研究通过视频喉频闪镜探索声带振荡,并评估将声音分析与耳内传感器技术相结合进行综合数字表型分析的可行性。在2023年4月至2024年11月期间,共有131名患者入组:平均年龄为75岁(SD 10), 31%为女性,86%为NYHA功能III级或IV级,38%为新生心力衰竭。此外,59%的参与者拥有智能手机。AHF-Voice研究将提供声音生物标志物作为充血可靠指标的潜力,为支持心力衰竭管理的创新和可获取工具铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vocal biomarkers in heart failure-design, rationale and baseline characteristics of the AHF-Voice study.

Acute heart failure (AHF) is a life-threatening condition and a common cause of hospitalization. The defining clinical feature of AHF is volume overload, leading to pulmonary and peripheral edema and consequently to weight gain. Vocal biomarkers have the potential to facilitate the early detection of worsening HF and the prevention of AHF episodes by offering a non-invasive, low-barrier monitoring tool. The AHF-Voice study is a prospective monocentric cohort study designed to investigate the trajectories of voice alterations during and after episodes of AHF, identify potential vocal biomarkers, and enhance the understanding of the pathophysiological mechanisms underlying these voice changes. It will examine the characteristics and determinants of vocal biomarkers, analyzing their correlations with patients' clinical status and comparing them to alternative clinical parameters in HF. Further, it aims to determine whether specific vocal biomarkers can accurately map different HF phenotypes and assess their association with patient trajectories. The study phenotypes patients hospitalized for AHF at admission and discharge, and follows them for a period of 6 months. During hospitalization, daily voice recordings are collected using a specially-designed smartphone app. Following discharge, patients are requested to continue daily voice recordings with their own smartphone for the subsequent six months the 6-month follow-up. Patient-reported outcome measures and body composition are assessed in the hospital and at follow-up visits. Sub-studies explore vocal fold oscillation through video-laryngostroboscopy and assess the feasibility of combining voice analysis with in-ear sensor technology for comprehensive digital phenotyping. A total of 131 patients were enrolled between April 2023 and November 2024: their mean age was 75 years (SD 10), 31% were women, 86% were in NYHA functional class III or IV, and 38% presented with de novo heart failure. Additionally, 59% of participants owned smartphones. The AHF-Voice study will provide insights into the potential of vocal biomarkers as reliable indicators of congestion, paving the way for innovative and accessible tools to support heart failure management.

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