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首页> 外文期刊>Pharmacoepidemiology and drug safety >Discontinuity and failures of therapy with bisphosphonates: joint assessment of predictors with multi-state models.
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Discontinuity and failures of therapy with bisphosphonates: joint assessment of predictors with multi-state models.

机译:双膦酸盐治疗的不连续性和失败:与多状态模型的联合预测变量。

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摘要

BACKGROUND: Data from a cohort of women treated with bisphosphonates were used to illustrate that multi-state models may be the useful tools of analysis where two causes of treatment failure are the ultimate outcome of interest, and the sequence of recurrent episodes of treatment starting and discontinuing is also of concern. METHODS: All the 11 863 women resident in the Italian Region of Lombardy, aged 45 years or over and who received bisphosphonates for the first time during 2003 entered into the study and were followed up until December 2005. Multi-state models with in-treatment and treatment-free periods as transient states, and fractures and gastrointestinal-related events as competing causes of failure, were fitted to the data. The effect of several covariates on transition rates between states was estimated. RESULTS: One half of the women was treated with bisphosphonates for less than 27% of the period of observation. Negative prognostic factors for treatment discontinuation were younger age and the use of alendronate at once-daily dosing, with low refill compliance during follow-up. The risk of fracture was higher for older women who experienced fracture before entry in the cohort, and for those who switched between drugs, had low refill compliance, experienced episodes of treatment discontinuation and used corticosteroids during follow-up. CONCLUSIONS: The use of multi-state models in pharmacoepidemiology provides non-biased estimates of the effect of covariates in predicting treatment discontinuation, restarting and failures. Our analyses emphasize the importance of maximising compliance in order to reduce the risks of both treatment discontinuation and fracture.
机译:背景:来自一组接受双膦酸盐治疗的妇女的数据用于说明多状态模型可能是有用的分析工具,其中治疗失败的两个原因是关注的最终结果,以及治疗复发和发作的顺序。停产也值得关注。方法:2003年期间首次在意大利伦巴第大区居住的45岁或以上,年龄在45岁以上的11 863名妇女中的所有妇女都进入了研究,并一直随访到2005年12月。数据以非治疗期和无治疗期为过渡状态,而骨折和胃肠道相关事件为失败的竞争原因。估计了几个协变量对状态之间转换率的影响。结果:一半妇女接受双膦酸盐治疗的时间少于观察期的27%。终止治疗的不良预后因素是年龄较小,每天服用一次阿仑膦酸盐,随访期间补充剂依从性低。对于年龄较大的女性,入组前曾发生骨折,以及在药物之间转换,笔芯依从性较低,经历治疗中断事件并在随访期间使用皮质类固醇的女性,发生骨折的风险较高。结论:在药物流行病学中使用多状态模型可以无偏估计协变量在预测治疗中止,重新开始和失败方面的作用。我们的分析强调最大化顺应性的重要性,以减少停药和骨折的风险。

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