90%以上坚持自动气道正压的患者的特征

Q4 Medicine Sleep Medicine Research Pub Date : 2022-12-31 DOI:10.17241/smr.2022.01333
Min Su Kim, Jae-Yoon Kang, Soo-Kyoung Park, Yong Min Kim
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Patient demographics, medical history, body mass index, and pretreatment polysomnography (PSG) results, as well as APAP therapy adherence-related variables (percentage of total days of APAP usage, and the mean time of APAP usage), the 90th percentile pressure (P90), residual apnea-hypopnea index (AHI), and the type of devices or company managers were compared between the two groups.Results Median age was significantly higher in the VGA group than in the PA group (p = 0.032). The Beck Depression Inventory (BDI) also differed significantly (p = 0.017) between the two groups. There were significant differences in the total sleep time (p = 0.003): 309.04 ± 64.96 min in the VGA group and 345.47 ± 53.06 min in the PA group. Patient sleep efficiency was observed and differed significantly (p = 0.003) 74.46 ± 13.73% in the VGA group and 82.09 ± 10.82% in the PA group. 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引用次数: 0

摘要

背景与目的在患有阻塞性睡眠呼吸暂停的患者中,有一组患者对自动气道正压(APAP)治疗的依从性出奇地高(≥90%)。本研究旨在评估这些患者的特征。方法回顾性分析2018年7月至2019年12月4757例APAP处方患者的病历。在排除不符合研究标准的患者后,共纳入103例患者,将患者分为依从性非常好的组(VGA组;依从性≥90%)组和依从性差组(PA;依从性< 70%)组,基于9个月的APAP依从性。比较两组患者的人口统计学、病史、体重指数和预处理多导睡眠图(PSG)结果,以及APAP治疗依从性相关变量(APAP使用总天数的百分比和APAP使用的平均时间)、第90百分位压力(P90)、剩余呼吸暂停低通气指数(AHI)、设备类型或公司管理人员。结果VGA组的中位年龄明显高于PA组(p = 0.032)。贝克抑郁量表(BDI)在两组间也有显著差异(p = 0.017)。总睡眠时间:VGA组为309.04±64.96 min, PA组为345.47±53.06 min,差异有统计学意义(p = 0.003)。观察患者睡眠效率,VGA组74.46±13.73%,PA组82.09±10.82%,差异有统计学意义(p = 0.003)。其他参数,如预处理PSG和睡眠相关问卷,在两组之间没有显着差异。1个月、3个月和9个月的设备相关数据相似,两组之间的平均使用时间(p < 0.001)和每天使用设备超过4小时的天数(p < 0.001)存在显著差异。然而,两组在平均压力、残余AHI和P90方面无显著差异。结论总睡眠时间、睡眠效率和BDI是影响VGA组患者依从性的主要因素。为了找到影响依从性的其他因素,还需要进一步的研究。
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Characteristics of Patients With More Than 90% Adherence to Automatic Positive Airway Pressure
Background and Objective Among patients suffering from obstructive sleep apnea, there is a group with surprisingly high adherence (≥ 90%) to automatic positive airway pressure (APAP) treatment. This study aims to evaluate the characteristics of these patients.Methods Medical records of 4757 patients, who received APAP prescriptions between July 2018 and December 2019, were reviewed retrospectively. After the exclusion of patients not meeting the study criteria, a total of 103 patients were included in the study, and patients were divided into a very good adherence (VGA; adherence ≥ 90%) group and a poor adherence (PA; adherence < 70%) group, based on nine months of APAP adherence. Patient demographics, medical history, body mass index, and pretreatment polysomnography (PSG) results, as well as APAP therapy adherence-related variables (percentage of total days of APAP usage, and the mean time of APAP usage), the 90th percentile pressure (P90), residual apnea-hypopnea index (AHI), and the type of devices or company managers were compared between the two groups.Results Median age was significantly higher in the VGA group than in the PA group (p = 0.032). The Beck Depression Inventory (BDI) also differed significantly (p = 0.017) between the two groups. There were significant differences in the total sleep time (p = 0.003): 309.04 ± 64.96 min in the VGA group and 345.47 ± 53.06 min in the PA group. Patient sleep efficiency was observed and differed significantly (p = 0.003) 74.46 ± 13.73% in the VGA group and 82.09 ± 10.82% in the PA group. Other parameters, such as a pretreatment PSG and sleep-related questionnaires, did not show significant differences between the two groups. The device-related data at 1, 3, and 9 months were similar, and there were significant differences in the mean usage time (p < 0.001) and the number of days on which the device was used for more than 4 hours a day (p < 0.001) between the two groups. However, the two groups had no significant differences in mean pressure, residual AHI, and the P90.Conclusions The total sleep time, sleep efficiency, and BDI were the main determinants of adherence in patients in the VGA group. To find additional factors which affect adherence, further studies will be needed.
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来源期刊
Sleep Medicine Research
Sleep Medicine Research Medicine-Neurology (clinical)
CiteScore
0.90
自引率
0.00%
发文量
20
审稿时长
8 weeks
期刊最新文献
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