伊拉克苏莱曼尼省 2021 年重症监护室收治的 COVID-19 危重病人的死亡率预测因素

Sherzad Ismael
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摘要

背景和目的:影响重症监护室 COVID-19 感染重症患者死亡率的因素有很多。本研究旨在调查 2021 年苏莱曼尼市重症监护室收治的 COVID-19 重症患者死亡率的预测风险因素。研究方法这是一项观察性回顾研究,研究对象是 2020 年 6 月至 12 月期间入住苏莱曼尼政府主要重症监护病房的 COVID-19 肺炎重症患者。根据患者的存活者与非存活者,介绍了总体基线特征。使用 Mann-Whitney U 检验比较存活者与非存活者在患者独立基本特征方面是否存在差异。使用二元逻辑回归来确定幸存者的预测因素。结果重症监护室共收治 220 名患者,其中 167 人死亡,病死率为 75.9%。预测 COVID-19 危重症患者死亡率的风险因素是年龄超过 59 岁(P 值 = 0.008)、合并症(P 值 = 0.038)和未使用抗病毒药物(P 值 = 0.011)。而能够明显降低死亡率的因素包括:血氧饱和度升高(P值<0.001)、收缩压升高(P值=0.002)、无创机械通气(面罩)(P值=0.001)和持续气道正压(P值=0.003)。结论预测 COVID-19 危重症患者死亡率的风险因素包括年龄增长、合并症和未使用抗病毒药物。而提高血氧饱和度、收缩压、无创机械通气(面罩)和持续气道正压可显著降低死亡的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictors of mortality among critical COVID-19 patients admitted to the intensive care unit in the Sulaimani governorate in 2021, Iraq
Background and objective: There are many factors that influence mortality in critically ill patients with COVID-19 infection in the intensive care unit. The aim of this study was to investigate the risk factors that predict the mortalities of critical COVID-19 patients admitted to the intensive care unit in Sulaimani in 2021. Methods: This is an observational retrospective study of critically ill patients with COVID-19 pneumonia admitted to the main intensive care unit of the Sulaimani government between June and December 2020. Overall baseline characteristics are presented based on the patient's survivors versus non-survivors. Mann-Whitney U test was used to compare whether there is a difference between survivors and non-survivors for the independent basic characteristics of the patients. Binary logistic regression was used to identify the predicted factors of survivors. Results: A total of 220 patients were admitted to the intensive care unit, of whom 167 died, with a case fatality rate of 75.9%. The risk factors that predicted mortality in critical COVID-19 patients were an increasing age of more than 59 years (P-value = 0.008), comorbidities (P-value = 0.038), and a lack of use of antiviral drugs (P-value = 0.011). Whereas the factors significantly predicted a reduction in mortality were increasing oxygen saturation (P-value <0.001), systolic blood pressure (P-value = 0.002), non-invasive mechanical ventilation (facemask) (P-value = 0.001), and continuous positive airway pressure (P-value = 0.003). Conclusion: The risk factors that predicted mortality in critical COVID-19 patients were increasing age, comorbidities, and a lack of use of antiviral drugs. Whereas increasing oxygen saturation, systolic blood pressure, non-invasive mechanical ventilation (facemask), and continuous positive airway pressure significantly predicted a reduction in the likelihood of death.
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