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择期大手术后院内术后阿片类药物过量的预测因素:一项全国代表性队列研究。

Predictors of In-hospital Postoperative Opioid Overdose After Major Elective Operations: A Nationally Representative Cohort Study.

作者信息

Cauley Christy E, Anderson Geoffrey, Haynes Alex B, Menendez Mariano, Bateman Brian T, Ladha Karim

机构信息

*Massachusetts General Hospital, Department of Surgery, Boston, MA†Department of Surgery and Perioperative Care, Dell Medical School, University of Texas at Austin, Austin, TX‡Massachusetts General Hospital, Department Of Anesthesia, Critical Care and Pain Medicine, Boston, MA§Department of Anesthesia, Toronto General Hospital and University of Toronto, Toronto, Ontario, Canada.

出版信息

Ann Surg. 2017 Apr;265(4):702-708. doi: 10.1097/SLA.0000000000001945.

Abstract

OBJECTIVE

The aim of this study was to describe national trends and outcomes of in-hospital postoperative opioid overdose (OD) and identify predictors of postoperative OD.

SUMMARY OF BACKGROUND DATA

In 2000, the Joint Commission recommended making pain the 5th vital sign, increasing the focus on postoperative pain control. However, the benefits of pain management must be weighed against the potentially lethal risk of opioid OD.

METHODS

This is a retrospective multi-institutional cohort study of patients undergoing 1 of 6 major elective inpatient operation from 2002 to 2011 using the Nationwide Inpatient Sample, an approximately 20% representative sample of all United States hospital admissions. Patients with postoperative OD were identified using ICD-9 codes for poisoning from opioids or adverse effects from opioids. Multivariate logistic regression was used to identify independent predictors.

RESULTS

Among 11,317,958 patients, 9458 (0.1%) had a postoperative OD; this frequency doubled over the study period from 0.6 to 1.1 overdoses per 1000 cases. Patients with postoperative OD died more frequently during their hospitalization (1.7% vs 0.4%, P < 0.001). Substance abuse history was the strongest predictor of OD (odds ratio = 14.8; 95% confidence interval: 12.7-17.2). Gender, age, income, geographic location, operation type, and certain comorbid diseases also predicted OD (P < 0.05). Hospital variables, including teaching status, size, and urban/rural location, did not predict postoperative OD.

CONCLUSIONS

Postoperative OD is a rare, but potentially lethal complication, with increasing incidence. Postoperative monitoring and treatment safety interventions should be thoughtfully employed to target high-risk patients and avoid this potentially fatal complication.

摘要

目的

本研究旨在描述住院患者术后阿片类药物过量(OD)的全国趋势和结果,并确定术后OD的预测因素。

背景数据总结

2000年,联合委员会建议将疼痛列为第五大生命体征,从而增加了对术后疼痛控制的关注。然而,疼痛管理的益处必须与阿片类药物OD的潜在致命风险相权衡。

方法

这是一项回顾性多机构队列研究,使用全国住院患者样本,对2002年至2011年期间接受6种主要择期住院手术之一的患者进行研究,该样本约占美国所有住院患者的20%。使用国际疾病分类第九版(ICD-9)编码识别术后OD患者,这些编码用于阿片类药物中毒或阿片类药物不良反应。采用多因素逻辑回归分析确定独立预测因素。

结果

在11317958例患者中,9458例(0.1%)发生术后OD;在研究期间,这一发生率从每1000例0.6例增加到1.1例,增加了一倍。术后OD患者在住院期间死亡的频率更高(1.7%对0.4%,P<0.001)。药物滥用史是OD最强的预测因素(比值比=14.8;95%置信区间:12.7-17.2)。性别、年龄、收入、地理位置、手术类型和某些合并疾病也可预测OD(P<0.05)。医院变量,包括教学状况、规模和城乡位置,不能预测术后OD。

结论

术后OD是一种罕见但可能致命的并发症,其发生率在增加。应谨慎采用术后监测和治疗安全干预措施,以针对高危患者,避免这种潜在的致命并发症。

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