Boef Anna G C, Souverein Patrick C, Vandenbroucke Jan P, van Hylckama Vlieg Astrid, de Boer Anthonius, le Cessie Saskia, Dekkers Olaf M
Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, The Netherlands.
Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.
Pharmacoepidemiol Drug Saf. 2016 Mar;25(3):317-24. doi: 10.1002/pds.3956. Epub 2016 Jan 8.
A potentially useful role for instrumental variable (IV) analysis may be as a complementary analysis to assess the presence of confounding when studying adverse drug effects. There has been discussion on whether the observed increased risk of venous thromboembolism (VTE) for third-generation oral contraceptives versus second-generation oral contraceptives could be (partially) attributed to confounding. We investigated how prescribing preference IV estimates compare with conventional estimates.
Women in the Clinical Practice Research Database who started a second-generation or third-generation oral contraceptive from 1989 to 2013 were included. Ordinary least squares and two-stage least squares regression were used to estimate risk differences in VTE. Cox regression and IV for Cox proportional hazards regression were used to calculate hazard ratios (HR). The instrument used was the proportion of prescriptions for third-generation oral contraceptives by the general practitioner in the year preceding the current prescription.
All analyses pointed in the direction of an increased VTE risk for third-generation oral contraceptives. The adjusted HR from the conventional Cox regression was 1.62 (95% confidence interval 1.16-2.27) and the fully adjusted HR from the IV Cox regression was 3.45 (95% confidence interval; 0.97-11.7), showing a larger risk and wider confidence intervals in the IV analysis.
The similarity in direction of results from the IV analyses and conventional analyses suggests that major confounding is unlikely. IV analysis can be a useful complementary analysis to assess the presence of confounding in studies of adverse drug effects in very large databases.
在研究药物不良反应时,工具变量(IV)分析可能发挥潜在的有用作用,作为一种补充分析方法来评估混杂因素的存在。关于第三代口服避孕药与第二代口服避孕药相比,观察到的静脉血栓栓塞(VTE)风险增加是否可能(部分)归因于混杂因素,一直存在讨论。我们研究了处方偏好IV估计值与传统估计值的比较情况。
纳入临床实践研究数据库中1989年至2013年开始服用第二代或第三代口服避孕药方案的女性。采用普通最小二乘法和两阶段最小二乘法回归来估计VTE的风险差异。使用Cox回归和Cox比例风险回归的IV方法来计算风险比(HR)。所使用的工具是当前处方前一年全科医生开具的第三代口服避孕药处方比例。
所有分析均指向第三代口服避孕药的VTE风险增加。传统Cox回归调整后的HR为1.62(95%置信区间1.16 - 2.27),IV Cox回归完全调整后的HR为3.45(95%置信区间0.97 - 11.7),显示IV分析中的风险更大且置信区间更宽。
IV分析和传统分析结果方向的相似性表明不太可能存在主要的混杂因素。IV分析可以作为一种有用的补充分析方法,用于评估大型数据库中药物不良反应研究中混杂因素的存在情况。