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血小板计数预测败血症患者的死亡率:一项回顾性观察性研究
Yusi Hua1, Ruoran Wang2, Jie Yang3
1Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Medicine
|September 25, 2023
概括
在入院时血小板数量低可以预测败血症患者的死亡风险. 这一发现表明血小板计数是评估败血症严重程度和患者结果的有价值生物标志物.
科学领域:
- 关键护理医学 关键护理医学
- 血液学 血液学 血液学
- 临床病理学 临床病理学
背景情况:
- 血小板计数是败血症严重程度评分的组成部分.
- 入院血小板计数对败血症死亡率的预测能力需要进一步研究.
研究的目的:
- 为了研究血小板计数在入院时对败血症患者死亡率的预测价值.
- 确定血症死亡的独立风险因素.
主要方法:
- 在2017年1月至2021年9月期间入院的290名败血症患者的回顾性观察研究.
- 多变量逻辑回归分析用于评估风险因素并构建预测模型.
- 对人口统计数据,严重性评分 (APACHE II,SOFA),血小板计数和乳酸水平的分析.
主要成果:
- 与幸存者相比,非幸存者年龄较大,APACHE II和SOFA分数较高.
- 在非幸存者组中观察到显著较低的血小板计数 (P < .001).
- 年龄,血小板数和乳酸水平被确定为死亡率的独立风险因素 (P = .003,P < .001,P = .018).
- 血小板计数显示出对败血症死亡率的良好预测性,AUC为0.763 (95% CI,0.709-0.817,P < .001),显示出55.6%的灵敏度和91.8%的特异性.
结论:
- 入院血小板计数作为一个有价值的独立生物标志物,用于预测败血症死亡率.
- 这些发现支持将血小板计数监测纳入败血症管理协议.
- 进一步的研究可以探索将低血小板计数与败血症死亡率联系在一起的机制.
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