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首页> 外文期刊>Value in health: the journal of the International Society for Pharmacoeconomics and Outcomes Research >Estimating the effect of medication adherence on health outcomes among patients with type 2 diabetes--an application of marginal structural models.
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Estimating the effect of medication adherence on health outcomes among patients with type 2 diabetes--an application of marginal structural models.

机译:评估药物依从性对2型糖尿病患者健康结局的影响-边缘结构模型的应用

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OBJECTIVE: We applied marginal structural models (MSMs) to estimate the effects of medication adherence with hypoglycemics on reducing the risk of microvascular complications in type 2 diabetic patients. METHODS: A retrospective longitudinal cohort study for type 2 diabetes patients was conducted using the California Medicaid claims database (1995-2002). Medication adherence and multiple time-varying confounders were measured quarterly over a maximum of 7.5 years follow-up. Cox regression models and MSMs results on the effect of compliance were compared. RESULTS: Of 4708 eligible patients, 2644 (56.2%) experienced microvascular complications during the follow-up period. After controlling for baseline covariates, standard Cox models estimated that adherence was associated with increased risk of complication with hazard ratio (HR) of 1.09 (95% confidence interval (CI): 1.00, 1.18). With adjustment of time-varying confounders as exogenous variables, the HR was 0.96 (0.88, 1.04). Using the MSM technique, the HR was 0.76 (95% bootstrap CI: 0.60, 0.92), indicating a significant benefit of medication adherence with hypoglycemics on the reduction of microvascular complications. This result contrasts with the negative results obtained in the hazard model, and is more consistent with prior clinical trial results CONCLUSION: Unlike conventional models, MSMs estimated that higher medication adherence may result in reduced risk of microvascular complications among patients with type 2 diabetes.
机译:目的:我们应用边缘结构模型(MSMs)来评估降糖药依从性对降低2型糖尿病患者微血管并发症风险的影响。方法:使用California Medicaid索赔数据库(1995-2002)对2型糖尿病患者进行回顾性纵向队列研究。在最多7.5年的随访中,每季度测量一次药物依从性和多个时变混杂因素。比较了Cox回归模型和MSMs结果对依从性的影响。结果:在4708名合格患者中,有2644名(56.2%)在随访期间经历了微血管并发症。控制基线协变量后,标准Cox模型估计依从性与并发症风险增加相关,危险比(HR)为1.09(95%置信区间(CI):1.00,1.18)。调整随时间变化的混杂因素作为外生变量,HR为0.96(0.88,1.04)。使用MSM技术,HR为0.76(95%引导程序CI:0.60、0.92),表明坚持降糖药对减少微血管并发症具有明显的益处。该结果与危险性模型获得的阴性结果相反,并且与先前的临床试验结果更一致。结论:与传统模型不同,MSM估计更高的药物依从性可以降低2型糖尿病患者微血管并发症的风险。

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