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TNF-<i>α</i>Antagonist and Infection in Rheumatoid Arthritis
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作者 Julia F. Simard murray a. mittleman +1 位作者 Nancy a. Shadick Elizabeth W. Karlson 《Open Journal of Rheumatology and Autoimmune Diseases》 2012年第2期14-20,共7页
Background: Anti-TNF treatment may increase infection risk, although this has been difficult to study because the timing of anti-TNF treatment is driven by disease activity, which may influence infection susceptibilit... Background: Anti-TNF treatment may increase infection risk, although this has been difficult to study because the timing of anti-TNF treatment is driven by disease activity, which may influence infection susceptibility leading to confounding that varies over time. We evaluated the association between anti-TNF initiation in rheumatoid arthritis (RA) patients on disease modifying anti-rheumatic drugs (DMARD) and infection using multiple approaches adjusting for time-varying confounding. Methods: 383 anti-TNF-na?ve RA patients on ≥ 1 non-biologic-DMARD at enrollment from the Brigham and Women’s Rheumatoid Arthritis Sequential Study (BRASS) were followed up to two years. Pooled logistic regressions estimated the association between anti-TNF and infection by including time-varying covariates in the adjusted models and inverse probability treatment weighting (IPTW). Results: Adjustment for time-varying disease activity and other suspected confounders yielded non-statistically significant positive associations between anti-TNF start and infection regardless of analytic approach (RRmvar_adj = 2.1, 95% CI: 0.8 - 5.8). Conclusions: Incorporating changing clinical status, and treatment indications and consequences, yielded consistently (though not significantly) elevated relative risks of infection associated with anti-TNF initiation. Due to limited statistical power, we cannot draw firm conclusions. However, we have illustrated multiple approaches adjusting for potential time-varying confounding in longitudinal studies and hope to replicate the approaches in larger studies. 展开更多
关键词 Inverse Probability Weighting ANTI-TNF INFECTION RHEUMATOID Arthritis
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环境空气污染与老年人中的抑郁症状:波士顿MOBILIZE研究结果
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作者 Yi Wang Melissa N. Eliot +7 位作者 Petros Koutrakis alexandros Gryparis Joel D. Schwartz Brent a. Coull murray a. mittleman William P. Milberg Lewis a. Lipsitz Gregory a. Wellenius 《环境与职业医学》 CAS 北大核心 2014年第9期671-671,共1页
[背景]暴露于空气污染特别是来源于交通的空气污染与不良的认知结局有关联,但它与抑郁症状间的关联尚不清楚。[目的]研究波士顿地区732名≥65岁[均数±标准差:(78.1±5.5)岁]的成人中暴露于空气和交通污染与出现抑郁症状之间的... [背景]暴露于空气污染特别是来源于交通的空气污染与不良的认知结局有关联,但它与抑郁症状间的关联尚不清楚。[目的]研究波士顿地区732名≥65岁[均数±标准差:(78.1±5.5)岁]的成人中暴露于空气和交通污染与出现抑郁症状之间的关联。[方法]使用经修订的流行病学研究中心抑郁量表(CESD-R)进行家庭入户访问,对抑郁症状进行评估。估计住宅与最近的主要道路的距离,作为长期暴露于交通污染的标志物,并取每次评估前两周之的平均值评估大气细颗粒物(PM2.5)、硫酸盐、炭黑(BC)、超细颗粒和气态污染物的短期暴露。用广义估计方程估计CESD-R评分≥16与暴露的优势比(OR),模型中调整了潜在的混杂因素。在敏感性分析中,把CESD-R评分作为连续结局变量,把年均住宅BC作为长期暴露于交通污染的替代标志物。[结果]未发现证据表明长期暴露于交通污染或污染物水平的短期变化与抑郁症状呈正相关。[结论]在美国大都市区的老年人群中,未发现环境空气污染与抑郁症状间存在关联的证据,符合目前美国监管标准。 展开更多
关键词 环境空气污染 MOBILIZE 交通污染 波士顿地区 超细颗粒 广义估计方程 大都市区 结局变量 气态污染物 敏感性分析
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