大手术后院内阿片类药物过量的趋势、结果和相关因素

IF 1.6 Q3 SURGERY Surgery open science Pub Date : 2024-03-01 Epub Date: 2024-03-13 DOI:10.1016/j.sopen.2024.03.002
Joanna Curry , Troy Coaston , Amulya Vadlakonda , Sara Sakowitz , Saad Mallick , Nikhil Chervu , Baran Khoraminejad , Peyman Benharash
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引用次数: 0

摘要

背景随着阿片类药物在美国日益流行,阿片类药物的院内使用也越来越受到关注。本研究利用全国性队列,试图描述重大择期手术后院内阿片类药物过量(OD)的趋势、结果和相关因素。院内阿片类药物过量的患者被定性为OD(其他:非OD)。主要研究结果为院内阿片类药物过量。我们建立了多变量逻辑回归和线性回归模型,以评估院内 OD 与死亡率、住院时间(LOS)、住院费用和非家庭出院之间的关系。与其他人相比,OD 的年龄更大(66 [57-73] 岁 vs 64 [54-72] 岁,p < 0.001),更常见的是女性(66.3 vs 56.7 %,p < 0.001)和最低收入四分位数(26.4 vs 23.2 %,p < 0.001)。经调整后,女性性别(调整比值比 [AOR] 1.68,95% 置信区间 [CI] 1.47-1.91,p <0.001)、白种人(AOR 1.19,CI 1.01-1.42,p = 0.04)和药物使用障碍史(AOR 2.51,CI 1.87-3.37,p <0.001)与发生 OD 的可能性增加有关。最后,OD 与 LOS 增加(β +1.91 天,CI [1.60-2.21],p <0.001)、住院费用增加(β +$7500, CI [5900-9100],p <0.001)和非家庭出院几率增加(AOR 2.00, CI 1.61-2.48,p <0.001)有关。虽然疼痛控制仍是术后的首要任务,但必须重新审查规程和恢复路径,以确保患者安全。
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Trends, outcomes, and factors associated with in-hospital opioid overdose following major surgery

Background

With the growing opioid epidemic across the US, in-hospital utilization of opioids has garnered increasing attention. Using a national cohort, this study sought to characterize trends, outcomes, and factors associated with in-hospital opioid overdose (OD) following major elective operations.

Methods

We identified all adult (≥18 years) hospitalizations entailing select elective procedures in the 2016–2020 National Inpatient Sample. Patients who experienced in-hospital opioid overdose were characterized as OD (others: Non-OD). The primary outcome of interest was in-hospital OD. Multivariable logistic and linear regression models were developed to evaluate the association between in-hospital OD and mortality, length of stay (LOS), hospitalization costs, and non-home discharge.

Results

Of an estimated 11,096,064 hospitalizations meeting study criteria, 5375 (0.05 %) experienced a perioperative OD. Compared to others, OD were older (66 [57–73] vs 64 [54–72] years, p < 0.001), more commonly female (66.3 vs 56.7 %, p < 0.001), and in the lowest income quartile (26.4 vs 23.2 %, p < 0.001). After adjustment, female sex (Adjusted Odds Ratio [AOR] 1.68, 95 % Confidence Interval [CI] 1.47–1.91, p < 0.001), White race (AOR 1.19, CI 1.01–1.42, p = 0.04), and history of substance use disorder (AOR 2.51, CI 1.87–3.37, p < 0.001) were associated with greater likelihood of OD. Finally, OD was associated with increased LOS (β +1.91 days, CI [1.60–2.21], p < 0.001), hospitalization costs (β +$7500, CI [5900–9100], p < 0.001), and greater odds of non-home discharge (AOR 2.00, CI 1.61–2.48, p < 0.001).

Conclusion

Perioperative OD remains a rare but costly complication after elective surgery. While pain control remains a priority postoperatively, protocols and recovery pathways must be re-examined to ensure patient safety.

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