Center for Research and Prevention of Injuries (CEREPRI), Department of Hygiene, Epidemiology and Medical Statistics, Athens University Medical School, 75 Mikras Asias Str., 11527 Athens, Greece.
Sleep Med Rev. 2011 Oct;15(5):301-10. doi: 10.1016/j.smrv.2010.10.002. Epub 2010 Dec 30.
We used meta-analysis to synthesize current evidence regarding the effect of nasal continuous positive airway pressure (nCPAP) on road traffic accidents in patients with obstructive sleep apnea (OSA) as well as on their performance in driving simulator. The primary outcomes were real accidents, near miss accidents, and accident-related events in the driving simulator. Pooled odds ratios (ORs), incidence rate ratios (IRRs) and standardized mean differences (SMDs) were appropriately calculated through fixed or random effects models after assessing between-study heterogeneity. Furthermore, risk differences (RDs) and numbers needed to treat (NNTs) were estimated for real and near miss accidents. Meta-regression analysis was performed to examine the effect of moderator variables and publication bias was also evaluated. Ten studies on real accidents (1221 patients), five studies on near miss accidents (769 patients) and six studies on the performance in driving simulator (110 patients) were included. A statistically significant reduction in real accidents (OR=0.21, 95% CI=0.12-0.35, random effects model; IRR=0.45, 95% CI=0.34-0.59, fixed effects model) and near miss accidents (OR=0.09, 95% CI=0.04-0.21, random effects model; IRR=0.23, 95% CI=0.08-0.67, random effects model) was observed. Likewise, a significant reduction in accident-related events was observed in the driving simulator (SMD=-1.20, 95% CI=-1.75 to -0.64, random effects). The RD for real accidents was -0.22 (95% CI=-0.32 to -0.13, random effects), with NNT equal to five patients (95% CI=3-8), whereas for near miss accidents the RD was -0.47 (95% CI=-0.69 to -0.25, random effects), with NNT equal to two patients (95% CI=1-4). For near miss accidents, meta-regression analysis suggested that nCPAP seemed more effective among patients entering the studies with higher baseline accident rates. In conclusion, all three meta-analyses demonstrated a sizeable protective effect of nCPAP on road traffic accidents, both in real life and virtual environment.
我们使用荟萃分析综合了当前关于阻塞性睡眠呼吸暂停(OSA)患者使用持续气道正压通气(nCPAP)对道路交通碰撞以及驾驶模拟器性能的影响的证据。主要结果是真实事故、险兆事故和驾驶模拟器中的事故相关事件。通过固定或随机效应模型适当计算了汇总优势比(OR)、发病率比(IRR)和标准化均数差(SMD),同时评估了研究间异质性。此外,还估算了真实和险兆事故的风险差异(RD)和需要治疗的患者数(NNT)。进行了元回归分析以检查调节变量的影响,并评估了发表偏倚。纳入了 10 项关于真实事故(1221 例患者)、5 项关于险兆事故(769 例患者)和 6 项关于驾驶模拟器性能(110 例患者)的研究。nCPAP 显著降低了真实事故(OR=0.21,95%CI=0.12-0.35,随机效应模型;IRR=0.45,95%CI=0.34-0.59,固定效应模型)和险兆事故(OR=0.09,95%CI=0.04-0.21,随机效应模型;IRR=0.23,95%CI=0.08-0.67,随机效应模型)的发生率。同样,驾驶模拟器中的事故相关事件也显著减少(SMD=-1.20,95%CI=-1.75 至-0.64,随机效应)。真实事故的 RD 为-0.22(95%CI=-0.32 至-0.13,随机效应),NNT 为 5 例(95%CI=3-8),而险兆事故的 RD 为-0.47(95%CI=-0.69 至-0.25,随机效应),NNT 为 2 例(95%CI=1-4)。对于险兆事故,元回归分析表明,nCPAP 在基线事故率较高的患者中似乎更有效。总之,三项荟萃分析均表明 nCPAP 对真实和虚拟环境中的道路交通碰撞具有相当大的保护作用。