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使用双膦酸盐类药物导致心脏瓣膜病的风险:一项基于人群的多国病例对照研究。

Risk of cardiac valvulopathy with use of bisphosphonates: a population-based, multi-country case-control study.

作者信息

Coloma P M, de Ridder M, Bezemer I, Herings R M C, Gini R, Pecchioli S, Scotti L, Rijnbeek P, Mosseveld M, van der Lei J, Trifirò G, Sturkenboom M

机构信息

Department of Medical Informatics, Erasmus MC University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands.

PHARMO Institute NV, 3528 AE, Utrecht, The Netherlands.

出版信息

Osteoporos Int. 2016 May;27(5):1857-67. doi: 10.1007/s00198-015-3441-2. Epub 2015 Dec 22.

Abstract

UNLABELLED

Analyses of healthcare data from 30 million individuals in three countries showed that current use of bisphosphonates may be associated with a small increased risk of cardiac valvulopathy (vs. those not exposed within the previous year), although confounding cannot be entirely ruled out. The observed tendency for decreased valvulopathy risk with cumulative duration of bisphosphonate use >6 months may even indicate a protective effect with prolonged use. Further studies are still needed to evaluate whether bisphosphonates increase or decrease the risk of valvulopathy.

INTRODUCTION

A signal of cardiac valve disorders with use of bisphosphonates was identified in the literature and EudraVigilance database, which contains reports of suspected adverse drug reactions from worldwide sources. The aim of this study was to evaluate the association using population-based healthcare data.

METHODS

This was a case-control study among users of bisphosphonates and other drugs for osteoporosis in six healthcare databases covering over 30 million individuals in Italy, Netherlands and the UK from 1996 to 2012. Prescriptions/dispensations were used to assess drug exposure. Newly diagnosed cases of cardiac valvulopathy were identified via disease codes/free-text search. Controls were matched to each case by age, sex, database and index date. Adjusted odds ratios (ORs) were estimated using conditional logistic regression for the pooled data and meta-analysis of individual database risk estimates.

RESULTS

A small but statistically significant association was found between exposure to bisphosphonates as a class and risk of valvulopathy. Overall risk was 18 % higher (95 % CI 12-23 %) in those currently exposed to any bisphosphonate (mainly alendronate and risedronate) vs. those not exposed within the previous year. Risk of valve regurgitation was 14 % higher (95 % CI 7-22 %). Decreased valvulopathy risk was observed with longer cumulative duration of bisphosphonate use, compared to use of less than 6 months. Meta-analyses of database-specific estimates confirmed results from pooled analyses.

CONCLUSIONS

The observed increased risks of cardiac valvulopathy with bisphosphonate use, although statistically significant, were quite small and unlikely to be clinically significant. Further studies are still needed to evaluate whether bisphosphonates increase or decrease the risk of valvulopathy and to investigate possible mechanisms for the association.

摘要

未标注

对三个国家3000万人的医疗保健数据进行分析显示,目前使用双膦酸盐可能与心脏瓣膜病风险略有增加相关(与前一年未接触者相比),尽管不能完全排除混杂因素。观察到双膦酸盐使用累积持续时间>6个月时瓣膜病风险降低的趋势,这甚至可能表明长期使用具有保护作用。仍需要进一步研究来评估双膦酸盐是增加还是降低瓣膜病风险。

引言

在文献和欧洲药物警戒数据库(EudraVigilance database)中发现了使用双膦酸盐与心脏瓣膜疾病之间的关联信号,该数据库包含来自全球的疑似药物不良反应报告。本研究的目的是使用基于人群的医疗保健数据评估这种关联。

方法

这是一项病例对照研究,研究对象为意大利、荷兰和英国六个医疗保健数据库中使用双膦酸盐和其他骨质疏松症药物的患者,这些数据库涵盖了1996年至2012年期间超过3000万人。通过处方/配药来评估药物暴露情况。通过疾病编码/自由文本搜索确定新诊断的心脏瓣膜病病例。对照按照年龄、性别、数据库和索引日期与每个病例进行匹配。使用条件逻辑回归对汇总数据进行调整后的比值比(OR)估计,并对各个数据库的风险估计进行荟萃分析。

结果

发现作为一个类别,双膦酸盐暴露与瓣膜病风险之间存在虽小但具有统计学意义的关联。与前一年未接触者相比,目前接触任何双膦酸盐(主要是阿仑膦酸钠和利塞膦酸钠)的人群总体风险高18%(95%CI 12 - 23%)。瓣膜反流风险高14%(95%CI 7 - 22%)。与使用时间少于6个月相比,双膦酸盐使用累积持续时间越长,瓣膜病风险降低。对特定数据库估计值的荟萃分析证实了汇总分析的结果。

结论

观察到使用双膦酸盐时心脏瓣膜病风险增加,尽管具有统计学意义,但幅度很小,不太可能具有临床意义。仍需要进一步研究来评估双膦酸盐是增加还是降低瓣膜病风险,并研究这种关联的可能机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b74a/4839043/861e3003f65b/198_2015_3441_Fig1_HTML.jpg

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Heart failure in patients treated with bisphosphonates.
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Primary non-adherence to bisphosphonates in an integrated healthcare setting.
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Osteoporosis is a major confounder in observational studies investigating bisphosphonate therapy in aortic stenosis.
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6
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7
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Electronic healthcare databases for active drug safety surveillance: is there enough leverage?
Pharmacoepidemiol Drug Saf. 2012 Jun;21(6):611-21. doi: 10.1002/pds.3197. Epub 2012 Feb 8.
10
Medical therapy for calcific aortic stenosis: the use of bisphosphonates.
Cardiology. 2010;117(3):229-30. doi: 10.1159/000322902. Epub 2011 Jan 4.

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