Health Promotion, Chronic Disease, and Injury Prevention, Public Health Ontario, Toronto, Ontario, Canada; Department of Family and Community Medicine, University of Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Ontario, Canada.
Health Promotion, Chronic Disease, and Injury Prevention, Public Health Ontario, Toronto, Ontario, Canada; The Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Ann Emerg Med. 2020 Jan;75(1):20-28. doi: 10.1016/j.annemergmed.2019.07.021. Epub 2019 Sep 24.
We aim to characterize the incidence and risk factors for opioid-related and all-cause mortality in the year after an emergency department (ED) visit for nonfatal opioid poisoning by conducting a population-based study.
We used linked health care databases in Ontario, Canada, to identify individuals who attended an ED for nonfatal opioid poisoning between January 1, 2015, and December 31, 2016. Using Cox proportional hazards regression, we examined predictors of mortality in the year after discharge (ED or hospital, if admitted).
In this cohort (n=6,140), 327 individuals (5.3%) died of any cause and 118 (1.9%) died of opioid-related causes within 1 year. Adjusting for other covariates, we found that health service use in the first week was not protective for opioid-related death (hazard ratio [HR] 0.70; 95% confidence interval [CI] 0.47 to 1.06) or all-cause mortality (HR 0.98; 95% CI 0.78 to 1.24). In exploring other covariates, predictors of opioid-related mortality included male sex (HR 1.98; 95% CI 1.32 to 2.97) and using opioid agonist therapy (HR 1.79; 95% CI 1.15 to 2.80) or benzodiazepine (HR 1.54; 95% CI 1.02 to 2.31) in the 12 months before the index event. Assessment by a family physician in the previous 12 months was associated with a lower risk of opioid-related and all-cause mortality (HR 0.58, 95% CI 0.39 to 0.86; and HR 0.63, 95% CI 0.49 to 0.82, respectively).
We identified predictors of opioid-related and all-cause mortality after ED presentation for opioid poisoning. Several predictors of mortality may facilitate targeted interventions.
通过开展一项基于人群的研究,我们旨在描述因非致命性阿片类药物中毒而在急诊科(ED)就诊后一年内与阿片类药物相关和全因死亡率的发生率和风险因素。
我们使用加拿大安大略省的医疗保健数据库,确定了在 2015 年 1 月 1 日至 2016 年 12 月 31 日期间因非致命性阿片类药物中毒而在 ED 就诊的个体。我们使用 Cox 比例风险回归分析,研究了出院后一年内(ED 或住院,如果住院)死亡的预测因素。
在该队列(n=6140)中,327 人(5.3%)死于任何原因,118 人(1.9%)死于阿片类药物相关原因。在调整其他协变量后,我们发现,在第一周内使用医疗服务并不能预防阿片类药物相关死亡(风险比 [HR] 0.70;95%置信区间 [CI] 0.47 至 1.06)或全因死亡率(HR 0.98;95% CI 0.78 至 1.24)。在探索其他协变量时,阿片类药物相关死亡率的预测因素包括男性(HR 1.98;95% CI 1.32 至 2.97)和在指数事件前 12 个月内使用阿片类激动剂治疗(HR 1.79;95% CI 1.15 至 2.80)或苯二氮䓬类药物(HR 1.54;95% CI 1.02 至 2.31)。在过去 12 个月内接受家庭医生评估与阿片类药物相关和全因死亡率降低相关(HR 0.58,95% CI 0.39 至 0.86;HR 0.63,95% CI 0.49 至 0.82)。
我们确定了因阿片类药物中毒而在 ED 就诊后阿片类药物相关和全因死亡率的预测因素。一些死亡率的预测因素可能有助于针对性干预。