Factors Predictive of Outcome in COVID-19 Pneumonia with Acute Respiratory Failure

M. Gupta, S. Nguyen, G. Manek, D. Datta
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Abstract

Rationale: Coronaviruses usually cause mild upper respiratory tract infections in humans, however, severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) can replicate in the lower respiratory tract. The pathophysiology of SARS-CoV-2 is similar to its predecessor SARS-CoV inciting an aggressive and disproportionate host immune response leading to multi organ failure and death. Multiple factors have been studied for their association with outcome in COVID-19. Variable data exists in current literature regarding the impact of demographic factors, admission hemoglobin, creatinine, d-dimer, ferritin and BNP on patient's survival. The objective of this study was to identify whether these parameters affect mortality in COVID-19 with acute respiratory failure. Methods: Seventy-one patients admitted to our hospital with COVID-19 and acute respiratory failure were studied. Medical records were reviewed to obtain age, gender, body mass index (BMI), admission hemoglobin (Hb), white blood cell (WBC) count, d-dimer, C-reactive protein (CRP), ferritin, creatinine, brain natriuretic peptide (BNP), and outcome (survived or expired). Correlation analysis and t-test was performed to determine the impact of above parameters on outcome. Results: Of the 71 patients, 73% were male and 27% were females. Mean age was 47.7 + 16.7 years. Mean BMI was 32.27 + 2.73 kg/m2. Nineteen percent (19%) patients required invasive mechanical ventilation (MV);twenty-two percent (22%) of patients expired. Studied admission parameters in survivors and non-survivors are shown in the table below. Pearson's correlation analysis showed a significant correlation between mortality and variables such as age, BMI and WBC count. No correlation was observed with gender, admission Hb, creatinine, CRP, ferritin, d-dimer or BNP levels. Conclusions: Information on COVID-19 continues to evolve. Future studies aimed at determining clinical parameters at the time of hospital admission that can predict mortality can be helpful in optimizing treatment and monitoring of these patients. Our study did not show any correlation between mortality and various inflammatory markers including CRP, ferritin, d-dimer which could have been due to the limited number of patients in this study.
COVID-19肺炎合并急性呼吸衰竭预后的预测因素
理由:冠状病毒通常会引起人类轻度上呼吸道感染,但严重急性呼吸综合征冠状病毒2 (SARSCoV-2)可在下呼吸道复制。SARS-CoV-2的病理生理学与其前身SARS-CoV相似,可引发侵袭性和不成比例的宿主免疫反应,导致多器官衰竭和死亡。人们研究了多种因素与COVID-19结果的关系。关于人口统计学因素、入院时血红蛋白、肌酐、d-二聚体、铁蛋白和BNP对患者生存的影响,目前文献中存在不同的数据。本研究的目的是确定这些参数是否影响COVID-19合并急性呼吸衰竭的死亡率。方法:对我院收治的71例新冠肺炎合并急性呼吸衰竭患者进行分析。回顾医疗记录以获得年龄、性别、体重指数(BMI)、入院血红蛋白(Hb)、白细胞(WBC)计数、d-二聚体、c -反应蛋白(CRP)、铁蛋白、肌酐、脑钠肽(BNP)和结局(存活或过期)。采用相关分析和t检验确定上述参数对结局的影响。结果:71例患者中,男性占73%,女性占27%。平均年龄47.7 + 16.7岁。平均BMI为32.27 + 2.73 kg/m2。19%的患者需要有创机械通气(MV), 22%的患者死亡。研究幸存者和非幸存者的入院参数如下表所示。Pearson相关分析显示,死亡率与年龄、BMI和白细胞计数等变量之间存在显著相关性。与性别、入院Hb、肌酐、CRP、铁蛋白、d-二聚体或BNP水平无相关性。结论:关于COVID-19的信息在不断演变。未来的研究旨在确定入院时可以预测死亡率的临床参数,这有助于优化这些患者的治疗和监测。我们的研究没有显示死亡率与各种炎症标志物(包括CRP、铁蛋白、d-二聚体)之间的任何相关性,这可能是由于本研究的患者数量有限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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