Hospital-acquired infections-appropriate statistical treatment is urgently needed!

被引：87

作者：

Schumacher, Martin ^{[1
]}

Allignol, Arthur ^{[1
]}

Beyersmann, Jan ^{[1
,2
]}

Binder, Nadine ^{[1
]}

Wolkewitz, Martin ^{[1
]}

机构：

[1] Univ Med Ctr Freiburg, Inst Med Biometry & Med Informat, D-79106 Freiburg, Germany

[2] Univ Ulm, Inst Stat, D-89069 Ulm, Germany

来源：

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY | 2013年 / 42卷 / 05期

关键词：

Hospital-acquired infections; cohort studies; time-dependent bias; length bias; competing risks; LENGTH-OF-STAY; INTENSIVE-CARE-UNIT; TIME-DEPENDENT BIAS; CRITICALLY-ILL PATIENTS; COMPETING RISKS; NOSOCOMIAL INFECTIONS; MULTISTATE MODELS; STAPHYLOCOCCUS-AUREUS; ATTRIBUTABLE MORTALITY; REGRESSION-MODELS;

D O I：

10.1093/ije/dyt111

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

Research on hospital-acquired infections (HAIs) requires the highest methodological standards to minimize the risk of bias and to avoid misleading interpretation. There are two major issues related specifically to studies in this area, namely the timing of infection and the occurrence of so-called competing risks, which deserve special attention. Just as a patient who acquires a serious infection during hospital admission needs appropriate antibiotic treatment, data being collected in studies on hospital-acquired infections need appropriate statistical analysis. We illustrate the urgent need for appropriate statistical treatment of hospital-acquired infections with some examples from recently conducted studies.The considerations presented are relevant for investigations on risk factors for HAIs as well as for outcome studies.

引用

页码：1502 / 1508

页数：7

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