通气不足症患者使用无创通气的相关因素

Riley Forbes, B. Duce, C. Hukins, C. Ellender
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引用次数: 0

摘要

本研究旨在调查人口统计学、临床和界面因素与使用无创通气(NIV)之间的关联。 研究对 2013 年至 2021 年期间开具无创通气处方的 478 名患者进行了回顾性队列分析。收集了人口统计学因素、NIV 临床适应症和界面因素,并进行了线性回归,以评估这些变量与 NIV 使用率(小时/夜)之间的关联。 组群的平均使用时间为 6.5 小时/晚(±4.6),平均年龄为 57 岁(±16),体重指数(BMI)为 40.5kg/m2±14.7。组群中男性居多(n = 290,60.6%)。最常见的 NIV 处方适应症是阻塞性睡眠呼吸暂停(HPR,190 人,占 39.7%)、神经肌肉疾病(NMD,140 人,占 29.3%)和肥胖低通气综合征(OHS,111 人,占 23.2%)引起的高压需求。在多变量分析中,NMD 诊断是较高 NIV 使用率(8.0±6.1 小时/晚)的重要预测因素(p = 0.036)。在所有适应症中,HPR 亚群的使用率最低。年龄和体重指数不能预测使用率。鼻腔接口(p <0.01)和较低的呼气正压 (EPAP) 设置(p <0.001)与 NIV 使用率的增加有关。 这项研究强调了使用 NIV 的多面性。人口统计学因素并不是预测使用率的一致因素,而界面和临床适应症则与使用率相关。这些研究结果突出表明,HPR 使用者是一个使用率较低的风险群体。
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Factors associated with non-invasive ventilation usage in patients with hypoventilation disorders
The objective of this study was to investigate the association between demographic, clinical, and interface factors and non-invasive ventilation (NIV) usage. A retrospective cohort analysis of 478 patients prescribed NIV from 2013 to 2021 was performed. Demographic factors, clinical indications for NIV, and interface factors were collected, and linear regression was conducted to evaluate the association between these variables and NIV usage (hr/night). The average usage of the cohort was 6.5hr/night±4.6, with an average age of 57 years±16 and body mass index (BMI) of 40.5kg/m2±14.7. The cohort was mostly male (n = 290, 60.6%). The most common indications for NIV prescription were high pressure requirement for obstructive sleep apnoea (HPR, n = 190, 39.7%), neuromuscular disease (NMD, n = 140, 29.3%) and obesity hypoventilation syndrome (OHS, n = 111, 23.2%). A diagnosis of NMD was a significant predictor of higher NIV usage (8.0±6.1hr/night) in multivariate analysis (p = 0.036). The HPR sub-cohort had the lowest usage of all indications. Age and BMI did not predict usage. A nasal interface (p <0.01) and lower expiratory positive airway pressure (EPAP) setting (p <0.001) were associated with increased NIV usage. This study highlights the multifaceted nature of NIV usage. Where demographic factors were not consistent predictors of usage, interface and clinical indication were associated with usage. These findings highlight that the HPR users are a group at risk of low usage.
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