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系统评价评估方法预测癌症患者阿片类药物滥用。

A systematic review of assessment approaches to predict opioid misuse in people with cancer.

机构信息

HammondCare, Sydney, Australia.

ACRF Image X Institute Sydney, University of Sydney, Sydney, Australia.

出版信息

Support Care Cancer. 2022 Jul;30(7):5645-5658. doi: 10.1007/s00520-022-06895-w. Epub 2022 Feb 15.

DOI:10.1007/s00520-022-06895-w
PMID:35166898
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9135805/
Abstract

CONTEXT

Cancer prevalence is increasing, with many patients requiring opioid analgesia. Clinicians need to ensure patients receive adequate pain relief. However, opioid misuse is widespread, and cancer patients are at risk.

OBJECTIVES

This study aims (1) to identify screening approaches that have been used to assess and monitor risk of opioid misuse in patients with cancer; (2) to compare the prevalence of risk estimated by each of these screening approaches; and (3) to compare risk factors among demographic and clinical variables associated with a positive screen on each of the approaches.

METHODS

Medline, Cochrane Controlled Trial Register, PubMed, PsycINFO, and Embase databases were searched for articles reporting opioid misuse screening in cancer patients, along with handsearching the reference list of included articles. Bias was assessed using tools from the Joanna Briggs Suite.

RESULTS

Eighteen studies met the eligibility criteria, evaluating seven approaches: Urine Drug Test (UDT) (n = 8); the Screener and Opioid Assessment for Patients with Pain (SOAPP) and two variants, Revised and Short Form (n = 6); the Cut-down, Annoyed, Guilty, Eye-opener (CAGE) tool and one variant, Adapted to Include Drugs (n = 6); the Opioid Risk Tool (ORT) (n = 4); Prescription Monitoring Program (PMP) (n = 3); the Screen for Opioid-Associated Aberrant Behavior Risk (SOABR) (n = 1); and structured/specialist interviews (n = 1). Eight studies compared two or more approaches. The rates of risk of opioid misuse in the studied populations ranged from 6 to 65%, acknowledging that estimates are likely to have varied partly because of how specific to opioids the screening approaches were and whether a single or multi-step approach was used. UDT prompted by an intervention or observation of aberrant opioid behaviors (AOB) were conclusive of actual opioid misuse found to be 6.5-24%. Younger age, found in 8/10 studies; personal or family history of anxiety or other mental ill health, found in 6/8 studies; and history of illicit drug use, found in 4/6 studies, showed an increased risk of misuse.

CONCLUSIONS

Younger age, personal or familial mental health history, and history of illicit drug use consistently showed an increased risk of opioid misuse. Clinical suspicion of opioid misuse may be raised by data from PMP or any of the standardized list of AOBs. Clinicians may use SOAPP-R, CAGE-AID, or ORT to screen for increased risk and may use UDT to confirm suspicion of opioid misuse or monitor adherence. More research into this important area is required.

SIGNIFICANCE OF RESULTS

This systematic review summarized the literature on the use of opioid misuse risk approaches in people with cancer. The rates of reported risk range from 6 to 65%; however, true rate may be closer to 6.5-24%. Younger age, personal or familial mental health history, and history of illicit drug use consistently showed an increased risk of opioid misuse. Clinicians may choose from several approaches. Limited data are available on feasibility and patient experience. PROSPERO registration number. CRD42020163385.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3205/9135805/590f01c25737/520_2022_6895_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3205/9135805/590f01c25737/520_2022_6895_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3205/9135805/590f01c25737/520_2022_6895_Fig1_HTML.jpg
摘要

背景

癌症发病率不断上升,许多患者需要阿片类镇痛药。临床医生需要确保患者获得足够的疼痛缓解。然而,阿片类药物滥用普遍存在,癌症患者面临风险。

目的

本研究旨在:(1)确定用于评估和监测癌症患者阿片类药物滥用风险的筛查方法;(2)比较每种筛查方法估计的患病率;(3)比较与每种方法阳性筛查相关的人口统计学和临床变量中的风险因素。

方法

检索了 Medline、Cochrane 对照试验注册中心、PubMed、PsycINFO 和 Embase 数据库,以查找评估癌症患者阿片类药物滥用筛查的文章,并对纳入文章的参考文献进行了手工检索。使用 Joanna Briggs 套件中的工具评估偏倚。

结果

有 18 项研究符合纳入标准,评估了 7 种方法:尿液药物检测 (UDT)(n=8);Screener 和 Opioid Assessment for Patients with Pain (SOAPP) 及其两种变体,修订版和简化版 (n=6);Cut-down、Annoyed、Guilty、Eye-opener (CAGE) 工具及其一种变体,Adapted to Include Drugs (n=6);Opioid Risk Tool (ORT) (n=4);处方监测计划 (PMP) (n=3);Screen for Opioid-Associated Aberrant Behavior Risk (SOABR) (n=1);和结构化/专业访谈 (n=1)。有 8 项研究比较了两种或多种方法。在研究人群中,阿片类药物滥用风险的发生率为 6%至 65%,这表明,由于筛查方法对阿片类药物的特异性以及使用的是单一还是多步方法,估计值可能存在差异。UDT 是由干预或观察到异常阿片类药物行为 (AOB) 引发的,其对实际阿片类药物滥用的检测结果为 6.5%至 24%。10 项研究中有 8 项发现年龄较小;8 项研究中有 6 项发现个人或家族焦虑或其他精神健康史;6 项研究中有 4 项发现有非法药物使用史,这些都显示出较高的滥用风险。

结论

年龄较小、个人或家族精神健康史以及非法药物使用史均显示出较高的阿片类药物滥用风险。临床医生可能会根据 PMP 或任何标准化的异常阿片类行为清单中的数据来怀疑阿片类药物滥用。临床医生可能会使用 SOAPP-R、CAGE-AID 或 ORT 来筛查风险增加的情况,并可能使用 UDT 来确认阿片类药物滥用的怀疑或监测依从性。需要进一步研究这一重要领域。

结果的意义

本系统综述总结了癌症患者中使用阿片类药物滥用风险方法的文献。报告的风险率范围为 6%至 65%;然而,真实的比率可能更接近 6.5%至 24%。年龄较小、个人或家族精神健康史以及非法药物使用史均显示出较高的阿片类药物滥用风险。临床医生可以从几种方法中进行选择。关于可行性和患者体验的有限数据。PROSPERO 注册号。CRD42020163385。

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本文引用的文献

1
Frequency of and Factors Associated With Nonmedical Opioid Use Behavior Among Patients With Cancer Receiving Opioids for Cancer Pain.癌症患者接受阿片类药物治疗癌痛时非医疗性阿片类药物使用行为的发生频率及相关因素。
JAMA Oncol. 2021 Mar 1;7(3):404-411. doi: 10.1001/jamaoncol.2020.6789.
2
Random urine drug testing among patients receiving opioid therapy for cancer pain.癌症疼痛接受阿片类药物治疗患者的随机尿液药物检测。
Cancer. 2021 Mar 15;127(6):968-975. doi: 10.1002/cncr.33326. Epub 2020 Nov 24.
3
Random vs Targeted Urine Drug Testing Among Patients Undergoing Long-term Opioid Treatment for Cancer Pain.
确定影响癌症疼痛长期阿片类药物处方的提供者、患者和实践因素:对美国和澳大利亚提供者的定性研究。
BMJ Open. 2024 Mar 21;14(3):e082033. doi: 10.1136/bmjopen-2023-082033.
4
Adherence to Opioid Patient Prescriber Agreements at a Safety Net Hospital.在一家安全网医院对阿片类药物患者处方医生协议的遵守情况。
Cancers (Basel). 2023 May 27;15(11):2943. doi: 10.3390/cancers15112943.
随机与目标性尿液药物检测在长期接受阿片类药物治疗癌症疼痛患者中的应用。
JAMA Oncol. 2020 Apr 1;6(4):580-581. doi: 10.1001/jamaoncol.2019.6756.
4
Opioid Misuse Risk: Implementing Screening Protocols in an Ambulatory Oncology Clinic.阿片类药物滥用风险:在门诊肿瘤诊所实施筛查方案。
Clin J Oncol Nurs. 2020 Feb 1;24(1):11-14. doi: 10.1188/20.CJON.11-14.
5
New-onset persistent opioid use following breast cancer treatment in older adult women.老年女性乳腺癌治疗后新发持续性阿片类药物使用。
Cancer. 2020 Feb 15;126(4):814-822. doi: 10.1002/cncr.32593. Epub 2019 Dec 17.
6
Validity of the screener and opioid assessment for patients with pain-revised (SOAPP-R) in patients with cancer.癌症患者中疼痛修订版筛查与阿片类药物评估工具(SOAPP-R)的有效性。
J Opioid Manag. 2019 Jul/Aug;15(4):272-274. doi: 10.5055/jom.2019.0512.
7
Adult Cancer Pain, Version 3.2019, NCCN Clinical Practice Guidelines in Oncology.成人癌症疼痛,第 3.2019 版,NCCN 肿瘤学临床实践指南。
J Natl Compr Canc Netw. 2019 Aug 1;17(8):977-1007. doi: 10.6004/jnccn.2019.0038.
8
Effectiveness of Prescription Monitoring Programs in Reducing Opioid Prescribing, Dispensing, and Use Outcomes: A Systematic Review.处方监测计划在减少阿片类药物处方、配药和使用结果方面的有效性:系统评价。
J Pain. 2019 Dec;20(12):1383-1393. doi: 10.1016/j.jpain.2019.04.007. Epub 2019 May 3.
9
Addressing the opioid crisis globally.全球应对阿片类药物危机。
World Psychiatry. 2019 Jun;18(2):231-232. doi: 10.1002/wps.20633.
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J Pain Symptom Manage. 2019 Jan;57(1):20-27. doi: 10.1016/j.jpainsymman.2018.10.493. Epub 2018 Oct 18.