Fatima Bilqees, Mohan Anjana, Altaie Issra, Abughosh Susan
College of Pharmacy, University of Houston, TX.
J Manag Care Spec Pharm. 2024 May;30(5):408-419. doi: 10.18553/jmcp.2024.30.5.408.
Direct oral anticoagulants (DOACs) are recommended for patients with atrial fibrillation (AF) given their improved safety profile. Suboptimal adherence to DOACs remains a significant concern among individuals with AF. However, the extent of adherence to DOACs following a cardiovascular or bleeding event has not been fully evaluated.
To evaluate the pattern of adherence trajectories of DOACs after a cardiovascular or bleeding event and to investigate the sociodemographic and clinical predictors associated with each adherence trajectory by using claims-based data.
This retrospective study was conducted among patients with AF prescribed with DOACs (dabigatran/apixaban/rivaroxaban) between July 2016 and December 2017 and who were continuously enrolled in the Texas-based Medicare Advantage Plan. Patients who experienced a cardiovascular or bleeding event while using the DOACs were further included in the analysis. The sample was limited to patients who experienced a clinical event such as a cardiovascular or bleeding event while using the DOACs. The clinical events considered in this study were cardiovascular (stroke, congestive heart failure, myocardial infarction, systemic embolism) and bleeding events. To assess adherence patterns, each patient with a DOAC prescription was followed up for a year after experiencing a clinical event. The monthly adherence to DOACs after these events was evaluated using the proportion of days covered (PDC). A group-based trajectory model incorporated the monthly PDC to classify groups of patients based on their distinct patterns of adherence. Predictors associated with each trajectory were assessed using a multinomial logistic regression model, with the adherent trajectory serving as the reference group in the outcome variable.
Among the 694 patients with AF who experienced clinical events after the initiation of DOACs, 3 distinct adherence trajectories were identified: intermediate nonadherent (30.50%), adherent (37.7%), and low adherent (31.8%); the mean PDC was 0.47 for the intermediate nonadherent trajectory, 0.93 for the adherent trajectory, and 0.01 for low adherent trajectory. The low-income subsidy was significantly associated with lower adherence trajectories (odds ratio [OR] = 4.81; 95% CI = 3.07-7.51) and with intermediate nonadherent trajectories (OR = 1.57; 95% CI = 1.06-2.34). Also, nonsteroidal anti-inflammatory drug use was significantly associated with lower adherence trajectories (OR = 5.10; 95% CI = 1.95-13.36) and intermediate nonadherent trajectories (OR = 3.17; 95% CI = 1.26-7.93). Other predictors significantly associated with both nonadherent trajectories are type of DOACs (OR = 0.53; 95% CI = 0.35-0.79), presence of coronary artery disease (OR = 1.89; 95% CI = 1.01-3.55), and having 2 or more clinical events (OR = 1.65; 95% CI = 1.09-2.50).
Predictors identified provide valuable insights into the suboptimal adherence of DOACs among Medicare Advantage Plan enrollees with AF, which can guide the development of targeted interventions to enhance adherence in this high-risk patient population.
鉴于直接口服抗凝剂(DOACs)安全性更佳,推荐用于心房颤动(AF)患者。DOACs依从性欠佳仍是AF患者的重大问题。然而,心血管或出血事件后DOACs的依从程度尚未得到充分评估。
利用基于索赔的数据,评估心血管或出血事件后DOACs的依从轨迹模式,并调查与每种依从轨迹相关的社会人口统计学和临床预测因素。
本回顾性研究纳入了2016年7月至2017年12月期间接受DOACs(达比加群/阿哌沙班/利伐沙班)治疗且持续参加德克萨斯州医疗保险优势计划的AF患者。在使用DOACs期间发生心血管或出血事件的患者进一步纳入分析。样本仅限于在使用DOACs期间发生心血管或出血事件等临床事件的患者。本研究中考虑的临床事件为心血管事件(中风、充血性心力衰竭、心肌梗死、全身性栓塞)和出血事件。为评估依从模式,对每位开具DOACs处方的患者在发生临床事件后随访一年。使用覆盖天数比例(PDC)评估这些事件后每月的DOACs依从性。基于群组的轨迹模型纳入每月PDC,根据患者不同的依从模式对患者进行分组。使用多项逻辑回归模型评估与每种轨迹相关的预测因素,将依从轨迹作为结果变量的参考组。
在694例开始使用DOACs后发生临床事件的AF患者中,确定了3种不同的依从轨迹:中度不依从(30.50%)、依从(37.7%)和低度依从(31.8%);中度不依从轨迹的平均PDC为0.47,依从轨迹为0.93,低度依从轨迹为0.01。低收入补贴与较低的依从轨迹(优势比[OR]=4.81;95%置信区间[CI]=3.07 - 7.51)以及中度不依从轨迹(OR = 1.57;95% CI = 1.06 - 2.34)显著相关。此外,使用非甾体抗炎药与较低的依从轨迹(OR = 5.10;95% CI = 1.95 - 13.36)以及中度不依从轨迹(OR = 3.17;95% CI = 1.26 - 7.93)显著相关。与两种不依从轨迹均显著相关的其他预测因素包括DOACs类型(OR = 0.53;95% CI = 0.35 - 0.79)、冠状动脉疾病的存在(OR = 1.89;95% CI = 1.01 - 3.55)以及发生2次或更多临床事件(OR = 1.65;95% CI = 1.09 - 2.50)。
所确定的预测因素为医疗保险优势计划中AF参保者DOACs依从性欠佳提供了有价值的见解,可指导制定针对性干预措施以提高这一高危患者群体的依从性。