Polypharmacy's Association With Mortality: Confounding From Underlying Morbidity

IF 4.5 2区 医学 Q1 GERIATRICS & GERONTOLOGY
Emma Bjørk, Christopher T. Rentsch, Rishi J. Desai, Jacob H. Andersen, Carina Lundby, Anton Pottegård
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引用次数: 0

Abstract

Background

Studies consistently associate use of multiple medications with increased mortality. However, such studies often lack adequate adjustment for confounding, particularly from underlying diseases.

Objective

To illustrate challenges in studying the association between polypharmacy and mortality by examining this relationship in two separate populations.

Methods

A register-based nationwide study utilizing a cohort of all Danish citizens admitted to nursing homes 2015–2021 (n = 95,057) and a community dwelling population cohort aged ≥ 65 years (n = 1,005,963). We examined the 1-year mortality using a Kaplan Meier plot from date of nursing home admission or index date and modeled the association between the number of medications used and death using restricted cubic splines with varying levels of adjustment. Further, we modeled the association between the 20 most used drugs and 1-year mortality.

Results

In the nursing home cohort, we found an approximately linear increase in mortality with the number of medications used. Adjusting for sex, age, and comorbidities markedly attenuated the association from an odds ratio of 4.70 (95% CI: 4.24–5.21) to 2.23 (95% CI: 1.99–2.49). Paradoxical associations were observed for individual drug classes, such as antidementia drugs showing a strong inverse association with mortality. When examining the stability of the number of drugs used over time, we found considerable fluctuations for individual residents. In the community dwelling population cohort, adjustment for covariates showed an even stronger impact on the association, reducing the odds ratio from 10.39 (95% CI: 9.79–11.03) to 1.34 (95% CI: 1.25–1.43). Further, the individual-level use of medication was found to be stable over time in the general population.

Conclusion

The association between levels of polypharmacy and mortality is strongly affected by confounding by indication. Basic adjustment for comorbidities attenuates but does not fully eliminate the association, with residual association possibly driven by residual confounding. This emphasizes the need for cautious interpretation of findings associating high use of medication with mortality.

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多药与死亡率的关系:来自潜在发病率的混淆。
背景:研究一致认为使用多种药物与死亡率增加有关。然而,这类研究往往缺乏对混杂因素的适当调整,特别是来自潜在疾病的混杂因素。目的:通过在两个单独的人群中检查这种关系来说明研究多药与死亡率之间关系的挑战。方法:一项基于登记的全国性研究,纳入2015-2021年入住养老院的所有丹麦公民队列(n = 95,057)和≥65岁的社区居住人口队列(n = 1,005,963)。我们使用Kaplan Meier图从养老院入住日期或指标日期开始检查1年死亡率,并使用不同调整水平的限制性三次样条曲线模拟使用药物数量与死亡之间的关联。此外,我们建立了20种最常用药物与1年死亡率之间的关联模型。结果:在养老院队列中,我们发现死亡率与使用药物数量呈近似线性增长。调整性别、年龄和合共病的比值比后,该相关性从4.70 (95% CI: 4.24-5.21)显著减弱至2.23 (95% CI: 1.99-2.49)。在个别药物类别中观察到矛盾的关联,例如抗痴呆药物与死亡率表现出强烈的负相关。在检查药物使用数量随时间的稳定性时,我们发现个别居民的波动相当大。在社区居住人口队列中,协变量调整对相关性的影响更大,使比值比从10.39 (95% CI: 9.79-11.03)降至1.34 (95% CI: 1.25-1.43)。此外,在一般人群中,发现个人水平的药物使用随着时间的推移是稳定的。结论:多药水平与死亡率之间的关系受到适应症混淆的强烈影响。对合并症的基本调整减弱但不能完全消除这种关联,残留的关联可能是由残留的混杂引起的。这强调需要谨慎解释高用药与死亡率相关的研究结果。
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来源期刊
CiteScore
10.00
自引率
6.30%
发文量
504
审稿时长
3-6 weeks
期刊介绍: Journal of the American Geriatrics Society (JAGS) is the go-to journal for clinical aging research. We provide a diverse, interprofessional community of healthcare professionals with the latest insights on geriatrics education, clinical practice, and public policy—all supporting the high-quality, person-centered care essential to our well-being as we age. Since the publication of our first edition in 1953, JAGS has remained one of the oldest and most impactful journals dedicated exclusively to gerontology and geriatrics.
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