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Study design for a comprehensive assessment of biologic safety using multiple healthcare data systems.

机译:使用多种医疗数据系统进行全面评估生物安全的研究设计。

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BACKGROUND: Although biologic treatments have excellent efficacy for many autoimmune diseases, safety concerns persist. Understanding the absolute and comparative risks of adverse events in patient and disease subpopulations is critical for optimal prescribing of biologics. PURPOSE: The Safety Assessment of Biologic Therapy collaborative was federally funded to provide robust estimates of rates and relative risks of adverse events among biologics users using data from national Medicaid and Medicare plus Medicaid dual-eligible programs, Tennessee Medicaid, Kaiser Permanente, and state pharmaceutical assistance programs supplementing New Jersey and Pennsylvania Medicare programs. This report describes the organizational structure of the collaborative and the study population and methods. METHODS: This retrospective cohort study (1998-2007) examined risks of seven classes of adverse events in relation to biologic treatments prescribed for seven autoimmune diseases. Propensity scores were used to control for confounding and enabled pooling of individual-level data across data systems while concealing personal health information. Cox proportional hazard modeling was used to analyze study hypotheses. RESULTS: The cohort was composed of 159,000 subjects with rheumatic diseases, 33,000 with psoriasis, and 46,000 with inflammatory bowel disease. This report summarizes demographic characteristics and drug exposures. Separate reports will provide outcome definitions and estimated hazard ratios for adverse events. CONCLUSION: This comprehensive research will improve understanding of the safety of these treatments. The methods described may be useful to others planning similar evaluations.
机译:背景:尽管生物学治疗对许多自身免疫疾病具有优异的功效,但安全担忧持续存在。了解患者和疾病群体不良事件的绝对和比较风险对于最佳的生物制剂的优化方案至关重要。目的:生物治疗协同的安全评估是联邦政府资助的,为使用国家医疗补助和Medicare加上医疗补助双重符合条件,田纳西医疗补助,Kaiser永久性和国家制药的生物制作用户的不良事件的税率和相对风险的强大估计补充新泽西州和宾夕法尼亚州医疗保险计划的援助计划。本报告描述了协作和研究人口和方法的组织结构。方法:该回顾性队列研究(1998-2007)在七种自身免疫疾病方面的生物学治疗方面检查了七种不良事件的风险。倾向分数用于控制混淆,并在隐藏个人健康信息时跨数据系统汇集各个级别数据。 Cox比例危害建模用于分析研究假设。结果:队列由159,000名受试者组成,具有风湿性疾病,33,000名,牛皮癣,46,000例,具有炎性肠病。本报告总结了人口特征和药物曝光。单独的报告将提供不良事件的结果定义和估计的危险比。结论:这项综合研究将改善对这些治疗的安全的理解。所描述的方法对规划类似评估的其他方法可能是有用的。

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