血小板和淋巴细胞相关参数作为骨关节炎严重程度的潜在标记:一个横截面研究
Francesca Salamanna1, Stefania Pagani1, Giuseppe Filardo2,3,4
1Surgical Sciences and Technologies, IRCCS Istituto Ortopedico Rizzoli, Via di Barbiano 1/10, 40136 Bologna, Italy.
Biomedicines
|September 28, 2024
概括
较高的血小板与淋巴细胞比率 (PLR) 与中度至重度骨关节炎 (OA) 的几率增加有关. 监测PLR可能有助于早期发现和管理OA.
科学领域:
- 系统性疾病中的生物标志物
- 疾病中的炎症和免疫反应.
背景情况:
- 血小板和淋巴细胞是全身炎症和免疫状态的关键指标.
- 骨关节炎 (OA) 严重程度评估通常需要了解潜在的系统因素.
研究的目的:
- 调查血液参数 (血小板计数 (PLT),平均血小板体积 (MPV),淋巴细胞计数 (LINF) 和血小板与淋巴细胞的比率 (PLR)) 与膝关节OA严重程度之间的关联.
- 评估这些参数对OA严重性的预测能力,考虑年龄,性别和BMI.
主要方法:
- 245名年龄≥40岁的膝关节骨质炎患者的横截面研究,按Kellgren-Lawrence (KL) 等级分类.
- 对混因子进行调整后勤回归分析,以评估PLT,MPV,LINF,PLR和OA严重程度之间的关系.
- 用于评估模型性能 (精度,灵敏度,特异性,AUC) 的接收器操作特征 (ROC) 曲线.
主要成果:
- PLR增加25个单位与OA严重程度更高的几率增加1.30倍有关 (OR=1.011,p<0.005).
- 年龄≥40岁显著增加了OA严重程度的几率 (OR=4.42,p<0.0005).
- 预测模型实现了73.1%的准确性,84%的灵敏度,52%的特异性和0.74.7的AUC.
结论:
- 升高的PLR是中度至重度关节炎的重要预测因素.
- PLR监测可能有助于早期发现和管理OA.
- 建议在更大的队列中进一步验证.
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