狼性炎患者在免疫抑制治疗期间感染风险分层:一项嵌套病例对照研究
Jianda Lu1, Yuanhao Wu1, Jun Xue1
1Department of Nephrology, Huashan Hospital Affiliated to Fudan University, Shanghai, China.
Lupus
|April 25, 2024
概括
这项研究开发了一种新的风险评分,用于预测接受免疫抑制治疗的性炎患者的感染风险. 该得分有助于分层患者,改善治疗期间感染的预测准确度.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 免疫学 免疫学 免疫学
- 传染性疾病 传染性疾病
背景情况:
- 目前的狼性炎 (LN) 感染预测模型缺乏及时性和相关性.
- 对LN的免疫抑制疗法增加了感染风险,需要更好的预测工具.
研究的目的:
- 开发和验证一种风险分层模型,用于预测接受免疫抑制治疗的性炎患者的感染.
主要方法:
- 在2014-2022年期间接受治疗的LN患者的回顾性嵌套病例对照研究.
- 感染病例 (CTCAE V5.0等级≥2) 与对照病例相匹配1:3.
- 多变量后勤回归确定了感染的预测因素.
主要成果:
- 纤维素基因变化率,白血病和降低的白蛋白独立地与感染有关.
- 该模型在验证集中实现了0.864的AUC.
- 风险分数从 -2 到 10 预测感染风险从 2.8% 到 97.5%.
结论:
- 开发了一种新的风险分层工具,用于预测接受免疫抑制治疗的LN患者的感染.
- 该工具增强了识别高风险个人的能力,以便针对性干预.
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