在新的阿片类止痛药使用者中开发和验证持续阿片类药物使用的预测模型,并通过全国性的索赔数据库对其进行验证
Yoojin Noh1, Kyu-Nam Heo2, Won Bean Cho3
1Pharmacy School, Massachusetts College of Pharmacy and Health Sciences University, Worcester, Massachusetts, USA.
Pain practice : the official journal of World Institute of Pain
|November 20, 2023
概括
这项研究开发了一个风险评分,以预测慢性阿片类药物使用在非癌症患者开始非注射阿片类止痛药 (NIOA). 该模型识别了有问题的阿片类药物使用风险较高的患者,有助于安全的处方实践.
科学领域:
- 药理学 药理学是指药理学的学科.
- 医疗保健服务研究 医疗服务研究
- 临床信息学 临床信息学
背景情况:
- 慢性阿片类药物使用带来风险,包括阿片类药物滥用.
- 为安全的阿片类药物处方开发预测模型至关重要.
- 这项研究的重点是先前使用过阿片类药物的非癌症患者开始阿片类药物治疗.
研究的目的:
- 开发和验证一个风险评分模型来预测慢性阿片类药物使用.
- 确定与长期阿片类药物使用相关的关键风险因素.
- 为医生提供一个工具,以评估患者慢性阿片类药物使用的风险.
主要方法:
- 利用来自韩国国家医疗保险索赔数据库 (2016-2018) 的数据.
- 包括成人,非癌症患者开始服用非注射性阿片类止痛药 (NIOA).
- 开发了一个使用多变量逻辑回归系数的风险评分模型.
主要成果:
- 分析了676,676名开始使用NIOA的患者;9.7%的患者发展为慢性使用.
- 确定年龄,医疗保健利用率,并发病,并发药和初始处方模式作为风险因素.
- 风险评分模型显示出良好的预测性能 (c-统计 = 0.754).
结论:
- 这是预测韩国人口慢性阿片类药物使用的首个经过验证的工具.
- 开发的风险评分可以帮助临床医生评估患者发展慢性阿片类药物依赖的风险.
- 为更安全的阿片类药物处方实践提供信息决策.
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