生命、死亡与他汀类药物:他汀类药物处方与老年全科病人生存的关系。

Adam J Hodgkins, Judy Mullan, Darren J Mayne, Andrew Bonney
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引用次数: 0

摘要

目的:本研究作为一个范例,展示了将生存分析应用于来自多个地点的全科电子健康记录数据的研究方法的可扩展性。背景:他汀类药物是一种非常常用的处方药,但在临床上的应用却非常有限:背景:他汀类药物是一种非常常见的处方药,但有关其对老年患者益处的证据却很少。我们研究了 75 岁以上全科患者的他汀类药物处方与全因死亡率之间的关系:我们采用生存分析法对从澳大利亚五家全科诊所电子健康记录中提取的数据进行了一项回顾性队列研究:分析了 8025 名患者的数据。随访时间的中位数为 6.48 年。总计检查了 52 015 个患者年的数据,对 1657 名患者(21%)的任何原因死亡结果进行了测量,其余患者均被剔除。未服用他汀类药物的患者与服用他汀类药物的患者的调整后全因死亡率相似(HR 1.05,95% CI 0.92-1.20,P = 0.46),但糖尿病患者的全因死亡率有所增加(HR = 1.29,95% CI:1.00-1.68,P = 0.05)。相反,与处方他汀类药物的患者相比,停用他汀类药物的患者调整后的全因死亡率明显降低(HR 0.81,95% CI 0.70-0.93,P < 0.001),包括女性(HR = 0.75,95% CI:0.61-0.91,P < 0.001)和接受二级预防治疗的参与者(HR = 0.72,95% CI:0.60-0.86,P < 0.001)。这项研究证明了一种研究方法的可扩展性,该方法将生存分析应用于来自多个地点的全科电子健康记录数据。我们没有发现任何证据表明,在初级医疗机构开具他汀类药物处方会导致死亡率上升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Life, death, and statins: association of statin prescriptions and survival in older general practice patients.

Aims: This study serves as an exemplar to demonstrate the scalability of a research approach using survival analysis applied to general practice electronic health record data from multiple sites. Collection of these data, the subsequent analysis, and the preparation of practice-specific reports were performed using a bespoke distributed data collection and analysis software tool.

Background: Statins are a very commonly prescribed medication, yet there is a paucity of evidence for their benefits in older patients. We examine the relationship between statin prescriptions for general practice patients over 75 and all-cause mortality.

Methods: We carried out a retrospective cohort study using survival analysis applied to data extracted from the electronic health records of five Australian general practices.

Findings: The data from 8025 patients were analysed. The median duration of follow-up was 6.48 years. Overall, 52 015 patient-years of data were examined, and the outcome of death from any cause was measured in 1657 patients (21%), with the remainder being censored. Adjusted all-cause mortality was similar for participants not prescribed statins versus those who were (HR 1.05, 95% CI 0.92-1.20, P = 0.46), except for patients with diabetes for whom all-cause mortality was increased (HR = 1.29, 95% CI: 1.00-1.68, P = 0.05). In contrast, adjusted all-cause mortality was significantly lower for patients deprescribed statins compared to those who were prescribed statins (HR 0.81, 95% CI 0.70-0.93, P < 0.001), including among females (HR = 0.75, 95% CI: 0.61-0.91, P < 0.001) and participants treated for secondary prevention (HR = 0.72, 95% CI: 0.60-0.86, P < 0.001). This study demonstrated the scalability of a research approach using survival analysis applied to general practice electronic health record data from multiple sites. We found no evidence of increased mortality due to statin-deprescribing decisions in primary care.

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