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大数据洞察了烧伤患者中败血症和败血症休克CBC参数的诊断值:一项回顾性研究
Myongjin Kim1, Dohern Kym2,3, Jongsoo Park1
1Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-Ro 7-Gil, Youngdeungpo-Gu, 07247, Seoul, South Korea.
Scientific reports
|January 8, 2024
概括
像RDW和NLR这样的全血计 (CBC) 标志物可以帮助诊断败血症并预测烧伤患者的死亡率. 这些CBC比率为早期毒症检测和改善患者结果提供了一个有希望的工具.
科学领域:
- 医学研究 医学研究
- 血液学 血液学 血液学
- 关键护理医学 关键护理医学
背景情况:
- 败血症和败血性休克对烧伤患者构成重大危及生命的风险.
- 目前在这个人群中对败血症的诊断方法有限.
- 早期和准确的诊断对于有效的管理和改善生存率至关重要.
研究的目的:
- 评估完整血清 (CBC) 和其比率标志物的疗效,以诊断烧伤患者的败血症和败血性休克.
- 评估这些CBC标志物对烧伤患者死亡率的预测价值.
- 确定用于烧伤护理中的败血症管理的新型预后工具.
主要方法:
- 一项回顾性队列研究,涉及2757名烧伤患者.
- 分析完整血清 (CBC) 参数,包括红细胞分布宽度 (RDW),平均血小板体积 (MPV),中性粒细胞与淋巴细胞的比率 (NLR),血小板与淋巴细胞的比率 (PLR) 和平均血小板体积与血小板的比率 (MPVPR).
- 利用通用估计方程 (GEE) 模型来评估关联和预测值,并进行曲线下面面积 (AUC) 分析.
主要成果:
- 在65.5%的患者中发生了败血症,死亡率为24.3%.
- CBC参数RDW,MPV,NLR,MPVPR和MPV与淋巴细胞比率 (MPVLR) 与败血症发病率和死亡率有显著的相关性.
- 这些标记物显示出时间变化,并在GEE模型中达到AUC>0.65.
结论:
- RDW,MPV,NLR,MPVPR和MPVLR显示出作为宝贵的预后工具的潜力,用于烧伤患者的败血症诊断和死亡率预测.
- 这些CBC衍生的标记物可以帮助更早,更精确的诊断,潜在地增强败血症管理策略.
- 建议进行进一步的多中心研究,以验证这些发现并扩大其临床适用性.
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