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量化美国医疗保险受益人群中累积的抗胆碱能和镇静药物负荷。

Quantifying cumulative anticholinergic and sedative drug load among US Medicare Beneficiaries.

机构信息

Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Durham VA Geriatric Research Education and Clinical Center (GRECC), Durham, North Carolina, USA.

出版信息

Pharmacoepidemiol Drug Saf. 2021 Feb;30(2):144-156. doi: 10.1002/pds.5144. Epub 2020 Oct 15.

Abstract

PURPOSE

Medications with anticholinergic and sedative properties are widely used among older adults despite strong evidence of harm. The drug burden index (DBI), a pharmacological screening tool, measures these properties across drug classes, and higher DBI drug exposure (DBI > 1) has been associated with certain physical function-related adverse events. Our aim was to quantify mean daily DBI drug exposure among older adults in the United States (US).

METHODS

We screened medications for DBI properties and operationalized the DBI for US Medicare claims. We then conducted a retrospective cohort study of a 20% random, nationwide sample of 4 137 384 fee-for-service Medicare beneficiaries aged 66+ years (134 757 039 person-months) from January 2013 to December 2016. We measured the monthly distribution based on mean daily DBI, categorized as (a) >0 vs 0 (any use) and (b) 0, 0 < DBI ≤ 1, 1 < DBI ≤ 2, and DBI > 2, and examined temporal trends. We described patient-level factors (eg, demographics, healthcare use) associated with high (>2) vs low (0 < DBI≤1) DBI drug exposure.

RESULTS

The distribution of the mean daily DBI, aggregated at the month-level, was: 58.1% DBI = 0, 29.0% 0 < DBI≤1, 9.3% 1 < DBI≤2, and 3.7% DBI > 2. Predictors of high monthly DBI drug exposure (DBI > 2) included certain indicators of increased healthcare use (eg, high number of drug claims), white race, younger age, frailty, and a psychosis diagnosis code.

CONCLUSIONS

The predictors of high DBI drug exposure can inform discussions between patients and providers about medication appropriateness and potential de-prescribing. Future Medicare-based studies should assess the association between the DBI and adverse events.

摘要

目的

尽管有大量证据表明抗胆碱能和镇静药物会对老年人造成伤害,但此类具有抗胆碱能和镇静特性的药物在老年人中仍广泛使用。药物负担指数(DBI)是一种药理学筛查工具,可衡量药物类别中的这些特性,较高的 DBI 药物暴露(DBI>1)与某些与身体功能相关的不良事件有关。我们的目的是量化美国老年人的平均每日 DBI 药物暴露量。

方法

我们筛选了具有 DBI 特性的药物,并为美国医疗保险索赔操作了 DBI。然后,我们对 2013 年 1 月至 2016 年 12 月期间 4137384 名年龄在 66 岁及以上的医疗保险费用支付服务的 20%随机全国性样本进行了回顾性队列研究(134757039 人月)。我们根据平均每日 DBI 衡量每月分布情况,分为(a)>0 与 0(任何使用)和(b)0、0<DBI≤1、1<DBI≤2 和 DBI>2,并检查了时间趋势。我们描述了与高(>2)与低(0<DBI≤1)DBI 药物暴露相关的患者水平因素(例如,人口统计学、医疗保健使用)。

结果

平均每日 DBI 的分布汇总到月份水平为:58.1% DBI=0、29.0% 0<DBI≤1、9.3% 1<DBI≤2 和 3.7% DBI>2。高每月 DBI 药物暴露(DBI>2)的预测因素包括某些医疗保健使用增加的指标(例如,药物索赔数量高)、白种人、较年轻的年龄、虚弱和精神疾病诊断代码。

结论

高 DBI 药物暴露的预测因素可以为患者和提供者就药物的适当性和潜在减药问题进行讨论提供信息。未来基于医疗保险的研究应评估 DBI 与不良事件之间的关联。

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