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使用亚分布风险和特定病因风险对干细胞移植后血流感染进行的竞争风险分析。

A competing risks analysis of bloodstream infection after stem-cell transplantation using subdistribution hazards and cause-specific hazards.

作者信息

Beyersmann Jan, Dettenkofer Markus, Bertz Hartmut, Schumacher Martin

机构信息

Freiburg Centre for Data Analysis and Modelling, University of Freiburg, Eckerstrasse 1, 79104 Freiburg, Germany.

出版信息

Stat Med. 2007 Dec 30;26(30):5360-9. doi: 10.1002/sim.3006.

Abstract

After peripheral blood stem-cell transplantation, patients treated for severe haematologic diseases enter a critical phase (neutropenia). Analysis of bloodstream infection during neutropenia has to account for competing risks. Separate Cox analyses of all cause-specific hazards are the standard technique of choice, but are hard to interpret when the overall effects of covariates on the cumulative incidence function (CIF) are of interest. Proportional subdistribution hazards modelling of the subdistribution of the CIF is establishing itself as an interpretation-friendly alternative. We apply both methods and discuss their relative merits.

摘要

外周血干细胞移植后,接受严重血液系统疾病治疗的患者进入关键阶段(中性粒细胞减少期)。中性粒细胞减少期血流感染的分析必须考虑竞争风险。对所有病因特异性风险进行单独的Cox分析是标准的选择技术,但当协变量对累积发病率函数(CIF)的总体影响受到关注时,很难进行解释。对CIF的子分布进行比例子分布风险建模正成为一种便于解释的替代方法。我们应用这两种方法并讨论它们的相对优点。

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