Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Faculdade de Farmácia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Einstein (Sao Paulo). 2021 Mar 15;19:eAO5565. doi: 10.31744/einstein_journal/2021AO5565. eCollection 2021.
To determine the factors associated with the high complexity of medication regimen in patients with coronary artery disease.
A cross-sectional study was carried out in a multiprofessional cardiology outpatient clinic, in the Secondary Care of the Unified Health System, where sociodemographic (age, sex, and education), clinical (number of health conditions, cardiovascular diagnoses, and comorbidities) and pharmacotherapeutic (adherence, polypharmacy, and cardiovascular polypharmacy) characteristics were collected. These were related to complexity of medication regimen, measured through the medication regimen complexity index. The classification of high complexity of medication regimen was carried out using standardization for the older adults and stratification for adult patients, as suggested in the literature.
The total complexity medication regimen of 148 patients had a median of 17.0 (interquartile range of 10.5). In the univariate analysis, the factors associated with high complexity were heart failure, diabetes mellitus, hypertension, five or more diseases, and non-adherence to treatment. In the final model, after logistic regression, there was a statistically significant association (p<0.05) with the variables diabetes mellitus, hypertension, and non-adherence.
The high complexity of medication regimen in patients with coronary artery disease was associated with the presence of diabetes mellitus, hypertension, and reports of non-adherence to treatment.
确定与冠心病患者药物治疗方案高度复杂相关的因素。
这是一项在多专业心脏病门诊进行的横断面研究，该门诊属于二级医疗保健，纳入了统一卫生系统，收集了社会人口学（年龄、性别和教育程度）、临床（健康状况数量、心血管诊断和合并症）和药物治疗（用药依从性、多种药物治疗和心血管多种药物治疗）特征。这些特征与通过药物治疗方案复杂性指数测量的药物治疗方案复杂性相关。根据文献建议，对老年人进行标准化和对成年患者进行分层，对药物治疗方案的高度复杂性进行分类。
148 名患者的总复杂性药物治疗方案中位数为 17.0（四分位距为 10.5）。在单因素分析中，与高度复杂相关的因素有心衰、糖尿病、高血压、五种或更多疾病以及治疗不依从。在最终的逻辑回归模型中，糖尿病、高血压和治疗不依从与该变量存在统计学显著关联（p<0.05）。
冠心病患者药物治疗方案的高度复杂性与糖尿病、高血压和治疗不依从的报告相关。
