系统性炎症指数对地震后住院和透析的影响:一项临床研究
Burak Yasar1, Pınar Ozbilgehan1, Mert Sen1
1Department of Plastic, Reconstructive and Aesthetic Surgery, Ankara Bilkent City Hospital, Health Sciences University, Ankara, Türkiye.
PloS one
|February 28, 2024
概括
像MLR和SIRI这样的系统性炎症指数可以预测地震压伤患者的结果. 这些标志物有助于在灾难期间管理患者护理和资源分配.
科学领域:
- 紧急医疗 紧急医疗
- 创伤外科 手术 创伤外科
- 临床病理学 临床病理学
背景情况:
- 自然灾害,如地震,压倒了医疗系统.
- 在大规模伤亡事件中,患者监测具有挑战性.
- 在灾害医学中,生物标志物是指导治疗和预测预后的必要条件.
研究的目的:
- 评估地震相关压伤 (ECI) 患者的全身炎症指数.
- 评估这些指数与患者发病率之间的相关性.
- 确定它们作为不良结果的预后标记物的潜力.
主要方法:
- 研究了140名ECI患者和200名健康对照.
- 完整的血液细胞计数数据被用来计算中性细胞淋巴细胞比率 (NLR),血小板淋巴细胞比率 (PLR),单细胞淋巴细胞比率 (MLR),系统性免疫炎症指数 (SII),系统性炎症反应指数 (SIRI) 和泛免疫炎症值 (PIV).
- 回归分析预测住院时间和透析的必要性.
主要成果:
- PLR和MLR显著预测了住院时间.
- MLR和SIRI是透析需求的重要预测因素.
- 这些炎症指数在ECI中显示出预后价值.
结论:
- 系统性炎症指数是灾难场景中有价值的预后工具.
- 它们的利用可以改善患者管理和资源分配.
- 这些生物标志物可能有助于在地震后挽救生命.
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