University of California Davis Center for Healthcare Policy and Research; University of California, Davis, California, Sacramento, USA.
Department of Internal Medicine, University of California, Davis, California, Sacramento, USA.
J Gen Intern Med. 2024 Feb;39(3):393-402. doi: 10.1007/s11606-023-08419-6. Epub 2023 Oct 4.
Both increases and decreases in patients' prescribed daily opioid dose have been linked to increased overdose risk, but associations between 30-day dose trajectories and subsequent overdose risk have not been systematically examined.
To examine the associations between 30-day prescribed opioid dose trajectories and fatal opioid overdose risk during the subsequent 15 days.
Statewide cohort study using linked prescription drug monitoring program and death certificate data. We constructed a multivariable Cox proportional hazards model that accounted for time-varying prescription-, prescriber-, and pharmacy-level factors.
All patients prescribed an opioid analgesic in California from March to December, 2013 (5,326,392 patients).
Dependent variable: fatal drug overdose involving opioids. Primary independent variable: a 16-level variable denoting all possible opioid dose trajectories using the following categories for current and 30-day previously prescribed daily dose: 0-29, 30-59, 60-89, or ≥90 milligram morphine equivalents (MME).
Relative to patients prescribed a stable daily dose of 0-29 MME, large (≥2 categories) dose increases and having a previous or current dose ≥60 MME per day were associated with significantly greater 15-day overdose risk. Patients whose dose decreased from ≥90 to 0-29 MME per day had significantly greater overdose risk compared to both patients prescribed a stable daily dose of ≥90 MME (aHR 3.56, 95%CI 2.24-5.67) and to patients prescribed a stable daily dose of 0-29 MME (aHR 7.87, 95%CI 5.49-11.28). Patients prescribed benzodiazepines also had significantly greater overdose risk; being prescribed Z-drugs, carisoprodol, or psychostimulants was not associated with overdose risk.
Large (≥2 categories) 30-day dose increases and decreases were both associated with increased risk of fatal opioid overdose, particularly for patients taking ≥90 MME whose opioids were abruptly stopped. Results align with 2022 CDC guidelines that urge caution when reducing opioid doses for patients taking long-term opioid for chronic pain.
患者处方每日阿片类药物剂量的增加和减少都与过量风险增加有关,但 30 天剂量轨迹与随后的过量风险之间的关联尚未系统地研究过。
研究 30 天处方阿片类药物剂量轨迹与随后 15 天内致命阿片类药物过量风险之间的关系。
利用州内处方药物监测计划和死亡证明数据进行的全国性队列研究。我们构建了一个多变量 Cox 比例风险模型,该模型考虑了随时间变化的处方、处方医生和药剂师水平因素。
2013 年 3 月至 12 月在加利福尼亚州开处阿片类镇痛药的所有患者(5326392 名患者)。
致命药物过量(涉及阿片类药物)。主要自变量:使用以下类别表示当前和 30 天前处方每日剂量的 16 级变量:0-29、30-59、60-89 或≥90 毫克吗啡当量(MME)。
与每日处方 0-29 MME 稳定剂量的患者相比,剂量大幅增加(≥2 个类别)以及之前或当前剂量≥60 MME/天与 15 天内的过量风险显著增加相关。与每日处方≥90 MME 稳定剂量的患者相比,剂量从≥90 MME 减少至 0-29 MME/天的患者发生过量的风险显著增加(aHR3.56,95%CI2.24-5.67),与每日处方 0-29 MME 稳定剂量的患者相比(aHR7.87,95%CI5.49-11.28)。同时开处苯二氮䓬类药物的患者发生过量的风险也显著增加;开处 Z 类药物、卡马西平或精神兴奋剂与过量风险无关。
30 天剂量的大幅增加(≥2 个类别)和减少都与致命阿片类药物过量风险增加相关,特别是对于突然停止服用≥90 MME 阿片类药物的患者。结果与 2022 年 CDC 指南一致,该指南敦促在为长期服用阿片类药物治疗慢性疼痛的患者减少阿片类药物剂量时要谨慎。