Cagle Joshua L, Young Benjamin D, Shih Michael C, Nguyen Shaun A, Meyer Ted A, White David R, Clemmens Clarice S
Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, Charleston, South Carolina, USA.
Otolaryngol Head Neck Surg. 2023 May;168(5):944-955. doi: 10.1002/ohn.179. Epub 2023 Jan 19.
To provide an updated comparison of apnea-hypopnea index (AHI), oxygen desaturation index (ODI), respiratory disturbance index (RDI), oxygen saturation (O sat), and lowest oxyhemoglobin saturation (LSAT) measured by portable sleep study devices (PSSDs) compared to polysomnography (PSG).
Primary studies were identified through PubMed, Scopus, CINAHL, and Cochrane.
A systematic review was performed by searching databases from inception through August 2021. Only studies examining simultaneous monitoring of a PSSD and PSG were included. Respiratory indices AHI, ODI, RDI, O sat, and LSAT was collected Meta-correlations and meta-regressions were conducted to compare sleep variable measurements between PSSD and PSG.
A total of 24 studies (N = 1644 patients) were included. The mean age was 49.5 ± 12.0 (range = 13-92), mean body mass index (BMI) was 30.4 ± 5.7 (range = 17-87), and 69.4% were male. Meta-correlation showed significant associations between PSSD and PSG for AHI (n = 655, r = .888; p < .001), ODI (n = 241, r = .942; p < .001), RDI (n = 313, r = .832; p < .001), O sat (n = 171, r = .858; p < .001), and LSAT (n = 197, r = .930; p < .001). Meta-regressions indicated significant predictive correlations for AHI (n = 655; r = .96; p < .001), ODI (n = 740; r = .75; p = .031), RDI (n = 197; r = .99; p = .005), and LSAT (n = 197; r = .85; p = .030), but not for O sat (n = 171; r = .31; p = .692).
Respiratory indices correlate strongly between PSSD and PSG, which is further supported by meta-regressions results. PSSD might be a valuable cost and time-saving OSA screening tool.
比较便携式睡眠监测设备(PSSD)与多导睡眠图(PSG)测量的呼吸暂停低通气指数(AHI)、氧饱和度下降指数(ODI)、呼吸紊乱指数(RDI)、氧饱和度(O sat)和最低氧合血红蛋白饱和度(LSAT)。
通过PubMed、Scopus、CINAHL和Cochrane检索主要研究。
通过检索自建库至2021年8月的数据库进行系统综述。仅纳入同时监测PSSD和PSG的研究。收集呼吸指数AHI、ODI、RDI、O sat和LSAT,进行Meta相关性分析和Meta回归分析,以比较PSSD和PSG之间的睡眠变量测量值。
共纳入24项研究(N = 1644例患者)。平均年龄为49.5±12.0岁(范围13 - 92岁),平均体重指数(BMI)为30.4±5.7(范围17 - 87),69.4%为男性。Meta相关性分析显示,PSSD与PSG在AHI(n = 655,r = 0.888;p < 0.001)、ODI(n = 241,r = 0.942;p < 0.001)、RDI(n = 313,r = 0.832;p < 0.001)、O sat(n = 171,r = 0.858;p < 0.001)和LSAT(n = 197,r = 0.930;p < 0.001)方面存在显著相关性。Meta回归分析表明,AHI(n = 655;r = 0.96;p < 0.001)、ODI(n = 740;r = 0.75;p = 0.031)、RDI(n = 197;r = 0.99;p = 0.005)和LSAT(n = 197;r = 0.85;p = 0.030)具有显著的预测相关性,但O sat(n = 171;r = 0.31;p = 0.692)无显著相关性。
PSSD与PSG之间的呼吸指数具有很强的相关性,Meta回归分析结果进一步支持了这一点。PSSD可能是一种有价值的、节省成本和时间的阻塞性睡眠呼吸暂停筛查工具。