对具有不同状态的双相情感障碍患者的完整血清和衍生性炎症指标的分析
Fangming Xu1,2,3,4,5, Xiaobo Wang1,2,3,4,5, Tianle Zhang1,2,3,4,5
1Department of Psychiatry, the First Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China.
Frontiers in psychiatry
|July 21, 2023
概括
这项研究确定了关键的炎症指标,如单细胞计数 (MON),hs-CRP和中性细胞与淋巴细胞比率 (NLR),这些指标可以预测贝赫塞特病 (BD) 状态. 这些标记物的组合可以提高诊断准确度,从而改善患者管理.
科学领域:
- 生物化学 生物化学
- 免疫学 免疫学 免疫学
- 血液学 血液学 血液学
背景情况:
- 贝塞特病 (BD) 诊断可能具有挑战性,需要确定可靠的生物标志物.
- 来自全血细胞计 (CBC) 的炎症标志物显示出评估疾病活性和亚型的潜力.
研究的目的:
- 评估CBC衍生的炎症指标对贝塞特病不同状态的预测能力.
- 确定潜在的诊断生物标志物及其最佳切断值,用于各种BD患者亚组.
主要方法:
- 从2021年1月到2023年3月的住院患者数据的回顾性分析.
- 使用单变量分析,逻辑回归和ROC曲线分析来评估CBC和炎症标志物.
- 确定预测指标的截止值的计算.
主要成果:
- 单细胞计数 (MON),hs-CRP和NLR是一般BD和BD-M (粘皮) 患者的显著预测因素.
- NLR和MHR (单细胞高密度脂蛋白胆固醇比) 是BD-D (皮肤) 患者的关键指标.
- MON与BD混合患者相关,组合标记 (例如,MON+hs-CRP+NLR) 显示出最高的诊断准确性.
结论:
- 特定的炎症标志物,包括MON,hs-CRP,NLR和MHR,与BD及其独特的临床状态密切相关.
- 确定的切线值和最佳的结合预测指标可以提高BD及其亚型的诊断准确性.
- 这些发现支持改善BD患者的评估和早期有针对性的干预措施.
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