血液动力学,氧化和淋巴细胞参数预测COVID-19死亡率
Choirina Windradi1, Tri Pudy Asmarawati1,2, Alfian Nur Rosyid1,2,3
1Department of Internal Medicine, Faculty of Medicine, Airlangga University, Surabaya 60286, East Java, Indonesia.
概括
新的分数系统MPL和MSLR预测了COVID-19患者的30天死亡率. 这些易于使用的工具对于资源有限的环境非常有价值,有助于早期评估COVID-19生存风险.
科学领域:
- 关键护理医学 关键护理医学
- 传染病 传染病 传染病
- 公共卫生 公共卫生
背景情况:
- COVID-19 的死亡率构成了全球卫生挑战.
- 现有的死亡率预测得分通常需要在有限的卫生设施中无法获得的资源.
- 需要为COVID-19患者提供可访问和有效的预后工具.
研究的目的:
- 开发和验证新的,简单的评分系统,用于预测COVID-19患者的30天死亡率.
- 评估平均动脉压 (MAP),PF比率和淋巴细胞绝对值 (MPL得分) 对死亡率预测的有用性.
- 评估MAP,SF比率,淋巴细胞绝对值和呼吸率 (MSLR得分) 在预测COVID-19患者结果中的有效性.
主要方法:
- 在2021年3月至11月期间住院的96名COVID-19患者的回顾性分析.
- 开发了两个评分系统:MPL (MAP,PF比率,淋巴细胞绝对值) 和MSLR (MAP,SF比率,淋巴细胞绝对值,呼吸率).
- 进行了双变量和多变量分析,曲线下的面积 (AUC) 和卡普兰-梅尔生存分析.
主要成果:
- 该MPL得分使用MAP<75mmHg,PF比率<200和淋巴细胞绝对值<1500/μL (切断值≥2).
- 该MSLR得分包括MAP<75mmHg,SF比率<200,淋巴细胞绝对值<1500/μL,呼吸率≥24/分钟 (切断值≥4).
- 两种MPL和MSLR都表现出相似的敏感性 (79.1%) 和特异性 (75.5%),AUC值分别为0.802和0.807,预测了30天的存活率 (p < 0.05).
结论:
- MPL和MSLR得分是COVID-19患者30天死亡率的有效和可访问的预测指标.
- 这些评分系统在资源有限的医疗保健环境中尤为有价值.
- 该研究强调了简单的临床参数在传染病爆发中进行预后评估的潜力.
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