来自墨西哥的重症COVID-19患者的死亡风险建模
Arturo Cortes-Telles1, Esperanza Figueroa-Hurtado1, Diana Lizbeth Ortiz-Farias1
1Respiratory and Thoracic Surgery Unit, Hospital Regional de Alta Especialidad de la Peninsula de Yucatan, Yucatan, Mexico.
Frontiers in medicine
|June 16, 2023
概括
在墨西哥COVID-19患者中,机械通风,低血小板和较高的中性粒细胞与淋巴细胞比率预测了死亡率. 高龄和低氧和也是死亡的重要危险因素.
科学领域:
- 传染性疾病 传染性疾病
- 流行病学 流行病学
- 关键护理医学 关键护理医学
背景情况:
- 由SARS-CoV-2引起的COVID-19大流行病导致全球数百万人死亡.
- 墨西哥的COVID-19病例死亡率很高,这凸显了该国人口的脆弱性.
- 墨西哥拉丁裔是一个特别脆弱的人口,面临着COVID-19死亡风险的增加.
研究的目的:
- 确定墨西哥住院COVID-19患者死亡率的显著预测因素.
- 在这个特定的患者队列中分析与致命结果相关的临床因素.
主要方法:
- 一项观察性,横截面研究对247名成年患者进行,这些患者被送往墨西哥尤卡坦州的转诊中心.
- 在2020年3月1日至8月31日期间,收集了COVID-19症状患者的数据.
- 使用拉索逻辑和二进制逻辑回归分析来确定死亡预测因素.
主要成果:
- 该研究发现了五个关键的死亡预测因素,按重要性排列:机械通风,血小板数量减少,中性粒细胞与淋巴细胞的比率升高,年龄增加和脉冲氧计和度降低.
- 在247名患者中,大约40%的患者在入院12天内死亡.
- 鉴定到的预测因素共同解释了死亡结果差异的约83%.
结论:
- 机械通风是最重要的预测因素,增加了近200倍的死亡风险.
- 年龄,血小板度降低,中性粒细胞与淋巴细胞比率升高以及低氧和是墨西哥患者COVID-19死亡率的关键指标.
- 这些发现强调了针对性干预和密切监测这一群体中高风险个体的必要性.
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