Department of Anesthesia and Pain Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Institute of Medical Science, University of Toronto Temerty Faculty of Medicine, Toronto, Ontario, Canada.
Reg Anesth Pain Med. 2021 Oct;46(10):886-891. doi: 10.1136/rapm-2020-102388. Epub 2021 Aug 9.
There is an increased risk of sleep apnea in patients using opioids for chronic pain. We hypothesized that a simple model comprizing of: (1) STOP-Bang questionnaire and resting daytime oxyhemoglobin saturation (SpO); and (2) overnight oximetry will identify those at risk of moderate-to-severe sleep apnea in patients with chronic pain.
Adults on opioids for chronic pain were recruited from pain clinics. Participants completed the STOP-Bang questionnaire, resting daytime SpO, and in-laboratory polysomnography. Overnight oximetry was performed at home to derive the Oxygen Desaturation Index. A STOP-Bang score ≥3 or resting daytime SpO ≤95% were used as thresholds for the first step, and for those identified at risk, overnight oximetry was used for further screening. The Oxygen Desaturation Index from overnight oximetry was validated against the Apnea-Hypopnea Index (≥15 events/hour) from polysomnography.
Of 199 participants (52.5±12.8 years, 58% women), 159 (79.9%) had a STOP-Bang score ≥3 or resting SpO ≤95% and entered the second step (overnight oximetry). Using an Oxygen Desaturation Index ≥5 events/hour, the model had a sensitivity of 86.4% and specificity of 52% for identifying moderate-to-severe sleep apnea. The number of participants who would require diagnostic sleep studies was decreased by 38% from Step 1 to Step 2 of the model.
A simple model using STOP-Bang questionnaire and resting daytime SpO, followed by overnight oximetry, can identify those at high risk of moderate-to-severe sleep apnea in patients using opioids for chronic pain.
NCT02513836.
慢性疼痛患者使用阿片类药物会增加睡眠呼吸暂停的风险。我们假设,一个由以下两个方面组成的简单模型:(1)STOP-Bang 问卷和静息日间血氧饱和度(SpO);(2)夜间血氧仪,将能够识别出慢性疼痛患者中存在中重度睡眠呼吸暂停风险的患者。
从疼痛诊所招募使用阿片类药物治疗慢性疼痛的成年人。参与者完成 STOP-Bang 问卷、静息日间 SpO 和实验室多导睡眠图。在家中进行夜间血氧仪检查以得出氧减指数。STOP-Bang 评分≥3 或静息日间 SpO≤95%被用作第一步的阈值,对于被识别为有风险的患者,使用夜间血氧仪进行进一步筛查。夜间血氧仪的氧减指数与多导睡眠图的呼吸暂停低通气指数(≥15 次/小时)进行验证。
在 199 名参与者中(52.5±12.8 岁,58%为女性),159 名(79.9%)STOP-Bang 评分≥3 或静息 SpO≤95%并进入第二步(夜间血氧仪)。使用氧减指数≥5 次/小时,该模型对识别中重度睡眠呼吸暂停的敏感性为 86.4%,特异性为 52%。与模型的第一步相比,第二步需要进行诊断性睡眠研究的参与者数量减少了 38%。
使用 STOP-Bang 问卷和静息日间 SpO,然后进行夜间血氧仪检查的简单模型,可以识别出使用阿片类药物治疗慢性疼痛的患者中存在中重度睡眠呼吸暂停风险较高的患者。
NCT02513836。