A Threshold Hazard Model for Estimating Serious Infection Risk Following Anti-Tumor Necrosis Factor Therapy in Rheumatoid Arthritis Patients

被引：9

作者：

Fu, Bo ^{[1
,2
]}

Lunt, Mark ^{[1
]}

Galloway, James ^{[1
]}

Dixon, Will ^{[1
]}

Hyrich, Kimme ^{[1
]}

Symmons, Deborah ^{[1
]}

机构：

[1] Univ Manchester, Arthrit Res UK Epidemiol Unit, Manchester M13 9PL, Lancs, England

[2] Univ Manchester, Ctr Biostat, Inst Populat Hlth, Manchester M13 9PL, Lancs, England

来源：

JOURNAL OF BIOPHARMACEUTICAL STATISTICS | 2013年 / 23卷 / 02期

基金：

英国医学研究理事会;

关键词：

Anti-tumor Necrosis Factor therapy; Baseline hazard; B-spline; Hazard ratio; Infection risk; Rheumatoid arthritis; PROPORTIONAL-HAZARDS; BIOLOGICS-REGISTER; REGRESSION-MODELS; SPLINE FUNCTIONS; SURVIVAL-DATA; COVARIATE;

D O I：

10.1080/10543406.2011.616973

中图分类号：

R9 [药学];

学科分类号：

100702 [药剂学];

摘要：

Over recent years novel biologic agents have been developed for the treatment of rheumatoid arthritis. The most common type of biologic agent in use in the United Kingdom is the anti-tumor necrosis factor inhibitor class. To fully appreciate the potential risks of anti-tumor necrosis factor therapy in patients, knowledge about the baseline hazard (risk pattern) and the characteristics of patients associated with serious infection is important. We propose a nonproportional hazard model for estimating the infection risk, by including the drug exposure history information into the baseline hazard. We found that the infection risk reaches a peak within 1 month after drug exposure starts and then declines steadily for nearly 2 years before stabilizing out.

引用

页码：461 / 476

页数：16

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