Green Ariel R, Reifler Liza M, Boyd Cynthia M, Weffald Linda A, Bayliss Elizabeth A
Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Mason F. Lord Center Tower, 7th Floor, 5200 Eastern Avenue, Baltimore, MD, 21224, USA.
Institute for Health Research, Kaiser Permanente Colorado, 10065 E. Harvard Ave. Suite 300, Denver, CO, 80207, USA.
Drugs Aging. 2018 Mar;35(3):223-232. doi: 10.1007/s40266-018-0522-x.
Drugs with anticholinergic properties are considered potentially inappropriate in patients with cognitive impairment because harms-including delirium, falls, and fractures-may outweigh benefits.
To highlight opportunities to improve clinical decision making and care for patients with cognitive impairment and multiple chronic conditions, we identified distinct subgroups of patients with mild cognitive impairment (MCI) and dementia who had high cumulative anticholinergic burden and specific patterns of anticholinergic use.
We conducted a retrospective cohort study in a not-for-profit, integrated delivery system. Participants included community-dwelling adults aged 65 years and older (n = 13,627) with MCI or dementia and at least two other chronic diseases. We calculated the Anticholinergic Cognitive Burden (ACB) score for each participant from pharmacy and electronic health record (EHR) data. Among individuals with a mean 12-month ACB score ≥ 2, we used agglomerative hierarchical clustering to identify groups or clusters of individuals with similar anticholinergic prescription patterns.
Twenty-four percent (3257 participants) had high anticholinergic burden, defined as an ACB score ≥ 2. Clinically meaningful clusters based upon anchoring medications or drug classes included a cluster of cardiovascular medications (n = 1497; 46%); two clusters of antidepressant medications (n = 633; 20%); and a cluster based on use of bladder antimuscarinics (n = 431; 13%). Several clusters comprised multiple central nervous system (CNS)-active drugs.
Cardiovascular and CNS-active medications comprise a substantial portion of anticholinergic burden in people with cognitive impairment and multiple chronic conditions. Antidepressants were highly prevalent. Clinical profiles elucidated by these clusters of anticholinergic medications can inform targeted approaches to care.
具有抗胆碱能特性的药物被认为对认知障碍患者可能存在潜在的不适用性,因为其危害(包括谵妄、跌倒和骨折)可能超过益处。
为了突出改善认知障碍和多种慢性病患者临床决策与护理的机会,我们确定了轻度认知障碍(MCI)和痴呆患者中具有高累积抗胆碱能负担及特定抗胆碱能药物使用模式的不同亚组。
我们在一个非营利性综合医疗服务系统中进行了一项回顾性队列研究。参与者包括65岁及以上的社区居住成年人(n = 13627),患有MCI或痴呆,且至少患有另外两种慢性病。我们根据药房和电子健康记录(EHR)数据为每位参与者计算抗胆碱能认知负担(ACB)评分。在平均12个月ACB评分≥2的个体中,我们使用凝聚层次聚类法来识别具有相似抗胆碱能处方模式的个体组或聚类。
24%(3257名参与者)具有高抗胆碱能负担,定义为ACB评分≥2。基于锚定药物或药物类别划分的具有临床意义的聚类包括一组心血管药物(n = 1497;46%);两组抗抑郁药物(n = 633;20%);以及一组基于膀胱抗毒蕈碱药物使用的聚类(n = 431;13%)。几个聚类包含多种中枢神经系统(CNS)活性药物。
心血管药物和CNS活性药物在认知障碍和多种慢性病患者的抗胆碱能负担中占很大比例。抗抑郁药物非常普遍。这些抗胆碱能药物聚类所阐明的临床特征可为针对性的护理方法提供参考。