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预测剖宫产术后出院后阿片类药物的使用情况。

Predicting Opioid Use Following Discharge After Cesarean Delivery.

机构信息

Department of Anesthesiology, University of Colorado, Anschutz Medical Campus, Aurora, Colorado.

Department of Psychiatry, Division of Substance Dependence, University of Colorado, Anschutz Medical Campus, Aurora, Colorado.

出版信息

Ann Fam Med. 2020 Mar;18(2):118-126. doi: 10.1370/afm.2493.

Abstract

PURPOSE

Although cesarean delivery is the most common surgical procedure in the United States, postoperative opioid prescribing varies greatly. We hypothesized that patient characteristics, procedural characteristics, or both would be associated with high vs low opioid use after discharge. This information could help individualize prescriptions.

METHODS

In this prospective cohort study, we quantified opioid use for 4 weeks following hospital discharge after cesarean delivery. Predischarge characteristics were obtained from health records, and patients self-reported total opioid use postdischarge on weekly questionnaires. Opioid use was quantified in milligram morphine equivalents (MMEs). Binomial and Poisson regression analyses were performed to assess predictors of opioid use after discharge.

RESULTS

Of the 233 patients starting the study, 203 (87.1%) completed at least 1 questionnaire and were included in analyses (86.3% completed all 4 questionnaires). A total of 113 patients were high users (>75 MMEs) and 90 patients were low users (≤75 MMEs) of opioids postdischarge. The group reporting low opioid use received on average 44% fewer opioids in the 24 hours before discharge compared with the group reporting high opioid use (mean = 33.0 vs 59.3 MMEs, <.001). Only a minority of patients (11.4% to 15.8%) stored leftover opioids in a locked location, and just 31 patients disposed of leftover opioids.

CONCLUSIONS

Knowledge of predischarge opioid use can be useful as a tool to inform individualized opioid prescriptions, help optimize nonopioid analgesia, and reduce opioid use. Additional studies are needed to evaluate the impact of implementing such measures on prescribing practices, pain, and functional outcomes.

摘要

目的

尽管剖宫产在美国是最常见的手术,但术后阿片类药物的开具差异很大。我们假设患者特征、手术特征或两者都与出院后高或低阿片类药物使用相关。这些信息可以帮助个体化处方。

方法

在这项前瞻性队列研究中,我们量化了剖宫产出院后 4 周内的阿片类药物使用情况。预出院特征从健康记录中获得,患者在出院后每周的问卷中自我报告总阿片类药物使用量。阿片类药物使用量以吗啡等效毫克数(MME)表示。使用二项式和泊松回归分析评估出院后阿片类药物使用的预测因素。

结果

在开始研究的 233 名患者中,有 203 名(87.1%)至少完成了 1 份问卷并纳入分析(86.3%完成了所有 4 份问卷)。共有 113 名患者为高用量(>75 MME),90 名患者为低用量(≤75 MME)出院后使用阿片类药物。报告低阿片类药物用量的组在出院前 24 小时内平均接受的阿片类药物用量比报告高阿片类药物用量的组少 44%(平均=33.0 与 59.3 MME,<0.001)。只有少数患者(11.4%至 15.8%)将剩余的阿片类药物存放在锁定的位置,只有 31 名患者处理了剩余的阿片类药物。

结论

了解预出院时的阿片类药物使用情况有助于为个体化阿片类药物处方提供信息,帮助优化非阿片类药物镇痛,并减少阿片类药物的使用。需要进一步的研究来评估实施这些措施对处方实践、疼痛和功能结局的影响。

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