基于血清学测试的慢性周围假肢关节感染综合诊断模型的构建和评估
Yingqiang Fu1, Qinggang Li2, Heng Zhao1
1Department of Joint Surgery/Sports Medicine, The Second Hospital Of Shandong University, Jinan, 250033, China.
Journal of orthopaedic surgery and research
|October 16, 2024
概括
结合C-反应蛋白 (CRP),公素 (PCT) 和血小板计数/平均血小板体积比率 (PVR) 的新诊断模型显示,诊断慢性周围假肢关节感染 (CPJI) 的准确性有所提高. 该模型为早期CPJI检测提供了一种实用的方法.
科学领域:
- 整形外科 整形外科 整形外科
- 传染性疾病 传染性疾病
- 生物标志物 生物标志物
背景情况:
- 慢性周假肢关节感染 (CPJI) 的早期诊断对于有效的治疗和患者的治疗结果至关重要.
- 目前CPJI的辅助诊断测试面临经济和技术的局限性,阻碍了广泛实施.
- 这项研究解决了对可访问和准确的CPJI诊断工具的需求.
研究的目的:
- 使用常见的血清学测试设计和验证CPJI的综合诊断模型.
- 为了评估CPJI这个组合模型的诊断价值.
- 开发一个用于CPJI诊断的预测性名录.
主要方法:
- 对170名膝关节和关节整形术修订CPJI或无菌松 (AL) 的患者进行了回顾性研究.
- 后勤回归分析确定了独立的诊断因素:C反应蛋白 (CRP),前素 (PCT) 和血小板计数/平均血小板体积比率 (PVR).
- 使用接收机运行特征 (ROC) 曲线,霍斯默-莱梅肖测试和决策曲线分析 (DCA) 构建和验证了一个名ogram模型.
主要成果:
- 鉴定出CRP,PCT和PVR是CPJI的独立预测因子 (p < 0.05).
- 组合模型的曲线下面积 (AUC) 比单个标记物 (CRP: 0.806,PCT: 0.616,PVR: 0.700) 高出0.861.
- 组合模型在外部验证中显示出良好的临床实用性和强的性能 (AUC = 0.893).
结论:
- 结合CRP,PCT和PVR的综合诊断模型显著提高了CPJI的诊断性能.
- 这种模型比单个生物标志物提供了更好的灵敏度,特异性和临床适用性.
- 这些发现为早期诊断CPJI提供了宝贵的参考.
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