Frailty, comorbidity, and multimorbidity and their relation with medications adherence in primary care older adults.

IF 3.5 3区 医学 Q2 GERIATRICS & GERONTOLOGY
Francesco Lapi, Ettore Marconi, Pierangelo Lora Aprile, Alberto Magni, Davide Liborio Vetrano, Alessandro Rossi, Alberto Pilotto, Claudio Cricelli
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引用次数: 0

Abstract

Purpose: To assess and compare, through a retrospective cohort study, the relationships between frailty, comorbidity, multimorbidity, and levels of adherence to lipid-lowering drugs (LLDs), antihypertensives and antidepressants.

Methods: In a primary care database, we selected a cohort of patients aged 60 or older on December 31, 2022. The date of the first prescription of the aforementioned medications was the study index date. Patients with Variable Medication Possession Ratio (VMPR) > = 80% were classified as properly adherent. Frailty (i.e. Primary Care-Frailty Index), comorbidity (i.e. Charlson Index) and multimorbidity (i.e. disease counts) alternatively entered multivariate logistic regressions along with age and sex. Models' performances in prediction of medications adherence were compared in terms of information (AIC; BIC) and discrimination values (AUC).

Results: Incident users of LLDs, antihypertensives or antidepressants were 4310 (mean age: 67.9 (SD: 6.9); 56.0% females), 5969 (mean age: 69.1 (SD: 7.6); 58.0% females), and 3834 (mean age: 68.7 (SD: 6.9); 66.5% females), respectively. Among users of LLDs (46% adherent) and antidepressants (22% adherent), those who were moderately or severely frail showed a significant 30-32% decrease in adherence. In contrast, users of antihypertensives (46% adherent) showed a 41% increase in adherence when multimorbid. As a whole, the three multivariate models were equally effective in informing on medication adherence, as per AIC and BIC. They also displayed similar discriminatory ability, with AUC scores ranging from 53 to 58%. Regarding the workload of GPs, the number of elderly patients classified as moderately/high frail was less than those with co-morbidities or multimorbidities. For instance, there were approximately 35 users of antihypertensive medications per GP for the moderately frail group, compared to 46 and 66 for the co-morbid and multi-morbid groups, respectively.

Conclusions: These findings showed similar capacity for frailty, comorbidity, and multimorbidity in capturing medications adherence. Given the existence of a validated tool in primary care that aligns well with GPs' workload, frailty seems the most suitable measure for assessing the complexity of older adults in relation to their adherence to long-term medications.

初级保健老年人的虚弱、合并症和多病及其与药物依从性的关系。
目的:通过一项回顾性队列研究,评估和比较虚弱、合并症、多病与降脂药、抗高血压药和抗抑郁药依从性之间的关系。方法:在初级保健数据库中,我们选择了2022年12月31日60岁及以上的患者队列。上述药物的第一次处方日期为研究索引日期。可变药物占有比(VMPR) > = 80%的患者为正确依从。虚弱(即初级保健-虚弱指数)、合并症(即Charlson指数)和多病(即疾病计数)随年龄和性别交替进入多变量logistic回归。比较模型在预测药物依从性方面的表现(AIC;BIC)和辨别值(AUC)。结果:使用lld、抗高血压药或抗抑郁药的事件为4310例(平均年龄:67.9岁(SD: 6.9);56.0%女性),5969人(平均年龄:69.1岁(SD: 7.6);58.0%女性),3834人(平均年龄:68.7岁(SD: 6.9);66.5%为女性)。在lld使用者(46%坚持服用)和抗抑郁药使用者(22%坚持服用)中,中度或重度虚弱者的依从性显著下降30-32%。相比之下,抗高血压药物使用者(46%的依从性)在多重疾病时的依从性增加了41%。总体而言,三个多变量模型在告知药物依从性方面同样有效,根据AIC和BIC。他们也表现出类似的歧视能力,AUC得分在53到58%之间。在全科医生的工作量方面,被归类为中度/高度虚弱的老年患者数量少于合并症或多病的老年患者。例如,在中度虚弱组中,每个家庭医生大约有35名抗高血压药物使用者,而在合并症和多重疾病组中分别为46名和66名。结论:这些发现表明,在捕获药物依从性方面,虚弱、合并症和多病的能力相似。考虑到在初级保健中存在一种有效的工具,它与全科医生的工作量很好地结合在一起,虚弱似乎是评估老年人长期药物依从性复杂性的最合适的指标。
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来源期刊
European Geriatric Medicine
European Geriatric Medicine GERIATRICS & GERONTOLOGY-
CiteScore
6.70
自引率
2.60%
发文量
114
审稿时长
6-12 weeks
期刊介绍: European Geriatric Medicine is the official journal of the European Geriatric Medicine Society (EUGMS). Launched in 2010, this journal aims to publish the highest quality material, both scientific and clinical, on all aspects of Geriatric Medicine. The EUGMS is interested in the promotion of Geriatric Medicine in any setting (acute or subacute care, rehabilitation, nursing homes, primary care, fall clinics, ambulatory assessment, dementia clinics..), and also in functionality in old age, comprehensive geriatric assessment, geriatric syndromes, geriatric education, old age psychiatry, models of geriatric care in health services, and quality assurance.
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