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本文引用的文献

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The Effectiveness and Risks of Long-Term Opioid Treatment of Chronic Pain.长期阿片类药物治疗慢性疼痛的疗效和风险。
Evid Rep Technol Assess (Full Rep). 2014 Sep(218):1-219. doi: 10.23970/AHRQEPCERTA218.
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Risk Factors for Serious Prescription Opioid-Induced Respiratory Depression or Overdose: Comparison of Commercially Insured and Veterans Health Affairs Populations.严重处方阿片类药物引起的呼吸抑制或过量的风险因素:商业保险和退伍军人健康事务人群的比较。
Pain Med. 2018 Jan 1;19(1):79-96. doi: 10.1093/pm/pnx038.
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Increases in Drug and Opioid-Involved Overdose Deaths - United States, 2010-2015.药物和阿片类药物滥用相关过量死亡人数增加 - 美国,2010-2015 年。
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Development of a Risk Index for Serious Prescription Opioid-Induced Respiratory Depression or Overdose in Veterans' Health Administration Patients.退伍军人健康管理局患者严重处方阿片类药物引起的呼吸抑制或过量风险指数的制定。
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Beliefs and attitudes about opioid prescribing and chronic pain management: survey of primary care providers.关于阿片类药物处方和慢性疼痛管理的信念与态度:初级保健提供者调查
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Risk factors for serious prescription opioid-related toxicity or overdose among Veterans Health Administration patients.退伍军人健康管理局患者中与处方阿片类药物相关的严重毒性或过量的危险因素。
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Predicting 1-year mortality rate for patients admitted with an acute exacerbation of chronic obstructive pulmonary disease to an intensive care unit: an opportunity for palliative care.预测因慢性阻塞性肺疾病急性加重而入住重症监护病房的患者的 1 年死亡率:姑息治疗的机会。
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在美国商业健康计划理赔数据库中验证用于严重处方类阿片类药物引起的呼吸抑制或药物过量的筛选风险指数。

Validation of a Screening Risk Index for Serious Prescription Opioid-Induced Respiratory Depression or Overdose in a US Commercial Health Plan Claims Database.

机构信息

Venebio Group, LLC, Richmond, Virginia.

Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina, USA.

出版信息

Pain Med. 2018 Jan 1;19(1):68-78. doi: 10.1093/pm/pnx009.

DOI:10.1093/pm/pnx009
PMID:28340046
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5939826/
Abstract

OBJECTIVE

To validate a risk index that estimates the likelihood of overdose or serious opioid-induced respiratory depression (OIRD) among medical users of prescription opioids.

SUBJECTS AND METHODS

A case-control analysis of 18,365,497 patients with an opioid prescription from 2009 to 2013 in the IMS PharMetrics Plus commercially insured health plan claims database (CIP). An OIRD event occurred in 7,234 cases. Four controls were selected per case. Validity of the Risk Index for Overdose or Serious Opioid-induced Respiratory Depression (RIOSORD), developed previously using Veterans Health Administration (VHA) patient data, was assessed. Multivariable logistic regression was used within the CIP study population to develop a slightly refined RIOSORD. The composition and performance of the CIP-based RIOSORD was evaluated and compared with VHA-based RIOSORD.

RESULTS

VHA-RIOSORD performed well in discriminating OIRD events in CIP (C-statistic = 0.85). Additionally, re-estimation of logistic model coefficients in CIP yielded a 0.90 C-statistic. The resulting comorbidity and pharmacotherapy variables most highly associated with OIRD and retained in the CIP-RIOSORD were largely concordant with VHA-RIOSORD. These variables included neuropsychiatric and cardiopulmonary disorders, impaired drug excretion, opioid characteristics, and concurrent psychoactive medications. The average predicted probability of OIRD ranged from 2% to 83%, with excellent agreement between predicted and observed incidence across risk classes.

CONCLUSIONS

RIOSORD had excellent predictive accuracy in a large population of US medical users of prescription opioids, similar to its performance in VHA. This practical risk index is designed to support clinical decision-making for safer opioid prescribing, and its clinical utility should be evaluated prospectively.

摘要

目的

验证一种风险指数,用于估计处方类阿片药物医学使用者发生过量或严重阿片类药物引起的呼吸抑制(OIRD)的可能性。

方法

采用病例对照分析,对 2009 年至 2013 年 IMS PharMetrics Plus 商业保险健康计划理赔数据库(CIP)中 18365497 名接受阿片类药物处方的患者进行分析。7234 例患者发生 OIRD 事件。每例病例选择 4 名对照。评估先前使用退伍军人健康管理局(VA)患者数据开发的《过量或严重阿片类药物引起的呼吸抑制风险指数(RIOSORD)》的有效性。在 CIP 研究人群中采用多变量逻辑回归建立稍作改进的 RIOSORD。评估和比较基于 CIP 和基于 VHA 的 RIOSORD 的组成和性能。

结果

VHA-RIOSORD 在 CIP 中区分 OIRD 事件的表现良好(C 统计量=0.85)。此外,在 CIP 中重新估计逻辑模型系数得出的 C 统计量为 0.90。与 OIRD 最密切相关并保留在 CIP-RIOSORD 中的共病和药物治疗变量在很大程度上与 VHA-RIOSORD 一致。这些变量包括神经精神和心肺疾病、药物排泄受损、阿片类药物特征和同时使用的精神活性药物。OIRD 的平均预测概率范围为 2%至 83%,风险类别之间的预测和观察发生率具有极好的一致性。

结论

RIOSORD 在大量美国处方类阿片药物医学使用者中具有出色的预测准确性,与在 VA 中的表现相似。该实用风险指数旨在支持更安全地开具阿片类药物处方的临床决策,其临床实用性应前瞻性评估。