Suppr超能文献

三维平均疾病缓解(3D-MDA):测量睡眠呼吸暂停治疗效果的下一步。

Three-dimensional mean disease alleviation (3D-MDA): The next step in measuring sleep apnea treatment effectiveness.

作者信息

Kaffenberger Thomas M, Soose Ryan J, Strollo Patrick J, Vanderveken Olivier M

机构信息

Department of Otolaryngology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA; Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA.

Department of Otolaryngology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.

出版信息

Sleep Med. 2025 Jan;125:27-30. doi: 10.1016/j.sleep.2024.11.027. Epub 2024 Nov 16.

Abstract

Mean disease alleviation measures the effectiveness of Obstructive Sleep Apnea (OSA) treatments. It combines a patient's adherence to treatment normalized to their total sleep time and the treatment's efficacy as determined by the change in the apnea-hypopnea index. This metric fails to capture the patient's OSA-related symptoms, which are a key component and, in some cases, the primary component, of determining response to treatment. We propose an enhanced metric called three-dimensional mean disease alleviation (3D-MDA), which incorporates the symptom response to better reflect the true treatment impact. RESULTS: The proposed 3D-MDA metric aims to provide a more comprehensive assessment of OSA treatment effectiveness by integrating the subjective impact, therapy adherence, and objective efficacy. Further, 3D-MDA is adaptable over time as the optimal metrics for these categories continue to evolve.

摘要

平均疾病缓解程度衡量阻塞性睡眠呼吸暂停(OSA)治疗的效果。它将患者对治疗的依从性(根据其总睡眠时间进行标准化)与由呼吸暂停低通气指数变化所确定的治疗效果相结合。该指标未能涵盖患者与OSA相关的症状,而这些症状是确定治疗反应的关键组成部分,在某些情况下还是主要组成部分。我们提出了一种名为三维平均疾病缓解程度(3D-MDA)的增强指标,该指标纳入了症状反应,以更好地反映治疗的真实影响。结果:所提出的3D-MDA指标旨在通过整合主观影响、治疗依从性和客观疗效,对OSA治疗效果进行更全面的评估。此外,随着这些类别的最佳指标不断演变,3D-MDA会随时间进行调整。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验