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采用时依协变量 Cox 模型评估疫苗对自然流产的影响。

Assessing the effect of vaccine on spontaneous abortion using time-dependent covariates Cox models.

机构信息

Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA, USA.

出版信息

Pharmacoepidemiol Drug Saf. 2012 Aug;21(8):844-50. doi: 10.1002/pds.3301. Epub 2012 Jun 4.

Abstract

PURPOSE

In studying the safety of vaccine for influenza A (H1N1) given during pregnancy, spontaneous abortion (SAB) is one of the important points to consider. Because women may receive the vaccine any time during their pregnancy, evaluation of the effect of the vaccine on SAB should only take place after vaccination and in the risk window for SAB, that is, the first 20 weeks of gestation. In addition, when such studies are conducted through pregnancy registries where recruitment occurs after pregnancy recognition, the accrued subjects are left truncated in the sense that they are not followed from the start of pregnancy.

METHODS

As previously reported, left truncation needs to be properly handled using survival analysis methods to avoid bias. In the context of time-dependent vaccine exposure, a time-dependent covariate Cox model can be used to simultaneously take into account the left truncation and the vaccine exposure timing.

RESULTS

In this communication, we illustrate the approach using the Vaccine and Medication in Pregnancy Surveillance System data. We explain in details how the model is fitted using different software.

CONCLUSIONS

We recommend survival analysis methods together with collection of necessary data to study the effects of vaccine on SAB.

摘要

目的

在研究流感 A(H1N1)疫苗在孕期使用的安全性时,自然流产(SAB)是需要考虑的重要因素之一。由于女性在孕期的任何时间都可能接种疫苗,因此应仅在接种疫苗后且在 SAB 的风险窗口(即妊娠 20 周内)内评估疫苗对 SAB 的影响。此外,当通过妊娠登记处进行此类研究,且在妊娠确认后进行招募时,由于从妊娠开始就没有对累积的受试者进行随访,因此会导致数据存在左截断。

方法

如前所述,需要使用生存分析方法正确处理左截断,以避免出现偏倚。在时间依赖性疫苗暴露的情况下,可以使用时间依赖性协变量 Cox 模型同时考虑左截断和疫苗暴露时间。

结果

在本通讯中,我们使用疫苗和药物妊娠监测系统数据说明了这种方法。我们详细解释了如何使用不同的软件拟合模型。

结论

我们建议使用生存分析方法,并收集必要的数据,以研究疫苗对 SAB 的影响。

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