Does procalcitonin play a role as a predictor of in-hospital mortality among COVID-19 patients admitted to intensive care unit?

Anahita Zakeri, A. Faraone, S. Matin
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引用次数: 1

Abstract

Introduction: Inflammatory response plays a key role in coronavirus disease 2019 (COVID-19) as it has been shown that the resulting cytokine storm increases its severity. Objectives: To investigate the role of procalcitonin (PCT) as a predictor of in-hospital mortality in patients with severe to critical COVID-19. Patients and Methods: In a retrospective cohort study, 150 patients with severe to critical COVID-19 consecutively admitted to the intensive care unit (ICU) were investigated. Patients’ demographics, clinical and laboratory findings, and PCT level were collected upon their admission to the hospital and from the disease outcome data. Results: Of the 150 patients who entered the study, 77 were discharged alive from the hospital. The mean age of the patients was 60.9 ±16.3 years and 51.3% of them were male. The mean PCT level was significantly higher in the deceased patients than in survivors (2.4 ± 3.4 versus 0.7±1.3, P<0.005). The logistic regression analysis indicated that PCT, creatinine and urea levels were independently associated with in-hospital mortality. Conclusion: Serum PCT levels are associated with in-hospital mortality in COVID-19 patients admitted to ICU and could be used as a simple tool to predict adverse outcomes and expedite timely and appropriate interventions.
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降钙素原是否可作为重症监护病房收治的COVID-19患者住院死亡率的预测因子?
炎症反应在2019冠状病毒病(COVID-19)中起着关键作用,因为研究表明,由此产生的细胞因子风暴会增加其严重程度。目的:探讨降钙素原(PCT)在重症至危重型COVID-19患者住院死亡率中的预测作用。患者与方法:采用回顾性队列研究方法,对150例重症至危重型新冠肺炎(COVID-19)患者连续入住重症监护病房(ICU)。患者的人口统计学、临床和实验室检查结果以及PCT水平在他们入院时和从疾病结局数据中收集。结果:纳入研究的150例患者中,77例存活出院。患者平均年龄60.9±16.3岁,男性占51.3%。死亡患者的平均PCT水平显著高于存活患者(2.4±3.4比0.7±1.3,P<0.005)。logistic回归分析显示PCT、肌酐和尿素水平与住院死亡率独立相关。结论:血清PCT水平与COVID-19 ICU住院患者的住院死亡率相关,可作为预测不良结局的简单工具,加快及时、适当的干预。
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