作为疾病进展的标志物,扩散能力和静态高通胀预测了COPD的3年死亡率:COSYCONET的结果
Hendrik Pott1, Barbara Weckler1, Swetlana Gaffron2
1Department of Medicine, Pulmonary and Critical Care Medicine, Clinic for Airway Infections, University Medical Centre Marburg, Philipps-University Marburg, Marburg, Germany.
新的标志物,如降低KCO%预测和增加RV/TLC在COPD患者的信号疾病进展和预测死亡率,独立于基线生物标志物.
科学领域:
- 肺部医学 肺部医学
- 呼吸系统研究 呼吸系统研究
- 临床流行病学 临床流行病学
背景情况:
- 慢性阻塞性肺病 (COPD) 的进展因潜在疾病活动而有很大差异.
- 已确定的标志物 (FEV1,SGRQ,恶化) 可能无法完全捕捉到各种疾病的发展轨迹.
- 识别新的进展标志物对于理解COPD异质性至关重要.
研究的目的:
- 调查静态高通胀和KCO%预测的变化是否能确定传统标记者遗漏的COPD亚组.
- 评估这些新型进展标志物是否与独特的基线生物标志物概况相关.
- 探索18个月的疾病进展测量与随后的死亡率在德国COPD队列中的关联.
主要方法:
- 分析了来自德国COSYCONET队列的1364名患者.
- 考克斯危险回归模型用于评估疾病进展对死亡率的影响.
- 后勤回归和随机森林模型将生物标志物和COPD评估测试项目与进展表型联系起来.
主要成果:
- 预测的KCO%降低和FEV1,增加的RV/TLC和SGRQ,以及18个月的恶化程度2预测死亡风险增加.
- 预测降低的KCO% (≥7.5%) 和增加的RV/TLC (≥2%) 是常见的进展指标 (~52%和~46%的患者).
- IL-6和CRP水平与中长期疾病进展有显著的相关性.
结论:
- 目前COPD疾病活动的新型标志物,特别是高通胀和KCO的变化,预测中期死亡率.
- 这些进展标志物根据基线生物标志物概况无法预测.
- 这凸显了动态测量在评估COPD预后方面的有用性.
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