HP2 Laboratory, INSERM U1300, University Grenoble Alpes, Grenoble 38000, France; AGIR à dom, Homecare Charity, Meylan 38240, France.
AGIR à dom, Homecare Charity, Meylan 38240, France.
Arch Bronconeumol. 2024 Aug;60(8):483-489. doi: 10.1016/j.arbres.2024.05.004. Epub 2024 May 16.
Monitoring changes in symptoms over time during long-term nocturnal home non-invasive ventilation (NIV) using patient-reported outcome measures is crucial. This study aimed to identify factors associated with changes in the S3-NIV total score, its two domains ("respiratory symptoms" and "sleep and NIV-related side effects") and individual item responses.
We conducted a retrospective, longitudinal data analysis of a cohort of adults with chronic respiratory failure treated with NIV. Data were obtained from a French homecare provider. Multivariate linear and multinomial ordinal mixed effect models were used to identify factors associated with changes in S3-NIV scores over time.
Median follow-up was 2 years for 2135 participants. Each participant completed a median of five S3-NIV questionnaires; totaling 11,359 analyzed questionnaires. Type of respiratory condition, sex, age and time since NIV initiation were associated with change in S3-NIV score over time. NIV adherence was not associated with total S3-NIV score but high adherence was associated with more severe respiratory symptoms and an improvement in sleep and NIV-related side effects during the follow-up. Intensity of pressure support was associated with a lower total S3-NIV score and more side effects. Face masks and supplemental oxygen were associated with a lower S3-NIV total score.
Changes in S3-NIV scores over time are associated with the individual's characteristics and NIV settings. Analysis of the two domains and individual items of the S3-NIV could increase understanding of the difficulties experienced by people on NIV.
使用患者报告的结局测量指标监测长期夜间家庭无创通气(NIV)过程中症状的变化至关重要。本研究旨在确定与 S3-NIV 总分及其两个领域(“呼吸症状”和“睡眠和 NIV 相关副作用”)以及各个项目反应变化相关的因素。
我们对一家法国家庭护理提供商的慢性呼吸衰竭患者接受 NIV 治疗的队列进行了回顾性、纵向数据分析。数据来自于一个法国家庭护理提供商。使用多元线性和多项有序混合效应模型来确定与 S3-NIV 评分随时间变化相关的因素。
2135 名参与者的中位随访时间为 2 年。每位参与者完成了中位数为 5 次 S3-NIV 问卷;总共分析了 11359 份问卷。呼吸状况类型、性别、年龄和 NIV 起始时间与 S3-NIV 评分随时间的变化相关。NIV 依从性与 S3-NIV 总分无关,但高依从性与更严重的呼吸症状以及在随访期间睡眠和 NIV 相关副作用的改善有关。压力支持的强度与 S3-NIV 总分较低和更多副作用相关。面罩和补充氧气与 S3-NIV 总分较低相关。
S3-NIV 评分随时间的变化与个体的特征和 NIV 设置有关。对 S3-NIV 的两个领域和各个项目的分析可以增加对接受 NIV 治疗的人所经历困难的理解。