PDF(Pubmed)
Abstract：
UNASSIGNED: The objective of this study was to investigate the association between demographic, clinical, and interface factors and noninvasive ventilation (NIV) usage.
UNASSIGNED: 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 (hour/night).
UNASSIGNED: The average usage of the cohort was 6.5 hour/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 apnea (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 ± 6.1 hour/night) in multivariate analysis (p = .036). The HPR subcohort had the lowest usage of all indications. Age and BMI did not predict usage. A nasal interface (p < .01) and lower expiratory positive airway pressure (EPAP) setting (p < .001) were associated with increased NIV usage.
UNASSIGNED: 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.
UNASSIGNED: 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 (hour/night).
UNASSIGNED: The average usage of the cohort was 6.5 hour/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 apnea (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 ± 6.1 hour/night) in multivariate analysis (p = .036). The HPR subcohort had the lowest usage of all indications. Age and BMI did not predict usage. A nasal interface (p < .01) and lower expiratory positive airway pressure (EPAP) setting (p < .001) were associated with increased NIV usage.
UNASSIGNED: 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.
摘要：
■这项研究的目的是调查人口统计学，临床,以及界面因素和无创通气（NIV）的使用。
■对2013年至2021年的478例NIV患者进行了回顾性队列分析。人口因素,NIV的临床适应症，并收集了界面因子，并进行线性回归以评估这些变量与NIV使用(小时/夜)之间的关联.
■该队列的平均使用量为6.5小时/夜±4.6，平均年龄为57岁±16，体重指数（BMI）为40.5kg/m2±14.7。该队列主要是男性（n=290，60.6%）。NIV处方最常见的适应症是阻塞性睡眠呼吸暂停的高压要求（HPR，n=190,39.7%),神经肌肉疾病（NMD，n=140,29.3%),和肥胖低通气综合征(OHS，n=111，23.2%)。在多变量分析中，NMD的诊断是NIV使用率较高（8.0±6.1小时/夜）的重要预测因子（p=.036）。在所有适应症中，HPR亚组的使用率最低。年龄和BMI不能预测使用情况。鼻接口（p<.01）和较低的呼气气道正压（EPAP）设置（p<.001）与NIV使用增加相关。
■这项研究强调了NIV使用的多面性。如果人口统计因素不是一致的使用预测因素，接口,和临床指征与使用相关。这些发现突出表明，HPR用户是一个低使用率风险的群体。
■对2013年至2021年的478例NIV患者进行了回顾性队列分析。人口因素,NIV的临床适应症，并收集了界面因子，并进行线性回归以评估这些变量与NIV使用(小时/夜)之间的关联.
■该队列的平均使用量为6.5小时/夜±4.6，平均年龄为57岁±16，体重指数（BMI）为40.5kg/m2±14.7。该队列主要是男性（n=290，60.6%）。NIV处方最常见的适应症是阻塞性睡眠呼吸暂停的高压要求（HPR，n=190,39.7%),神经肌肉疾病（NMD，n=140,29.3%),和肥胖低通气综合征(OHS，n=111，23.2%)。在多变量分析中，NMD的诊断是NIV使用率较高（8.0±6.1小时/夜）的重要预测因子（p=.036）。在所有适应症中，HPR亚组的使用率最低。年龄和BMI不能预测使用情况。鼻接口（p<.01）和较低的呼气气道正压（EPAP）设置（p<.001）与NIV使用增加相关。
■这项研究强调了NIV使用的多面性。如果人口统计因素不是一致的使用预测因素，接口,和临床指征与使用相关。这些发现突出表明，HPR用户是一个低使用率风险的群体。
