Tremblay Douglas, Rapp Joseph L, Alpert Naomi, Lieberman-Cribbin Wil, Mascarenhas John, Taioli Emanuela, Ghaffari Saghi
Department of Medicine Division of Hematology Oncology Icahn School of Medicine at Mount Sinai New York New York USA.
Institute for Translational Epidemiology Icahn School of Medicine at Mount Sinai New York New York USA.
EJHaem. 2021 May 6;2(3):319-326. doi: 10.1002/jha2.167. eCollection 2021 Aug.
The coronavirus disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has led to an unprecedented international health crisis. COVID-19 clinical presentations cover a wide range from asymptomatic to severe illness and death. Given the limited therapeutic resources and unexpected clinical features of the disease, readily accessible predictive biomarkers are urgently needed to improve patient care and management. We asked the degree to which anemia may influence the outcome of patients with COVID-19. To this end, we identified 3777 patients who were positively diagnosed with COVID-19 between March 1 and April 1 2020 in New York City. We evaluated 2,562 patients with available red blood cell, hemoglobin, and related laboratory values. Multivariable cox proportional hazards regression showed that anemia was a significant independent predictor of mortality (hazard ratio (HR): 1.26, 95% Confidence Interval [CI]: 1.06-1.51), independent of age, sex, and comorbidities. There was a direct correlation between the degree of anemia and the risk of mortality when hemoglobin was treated as a continuous variable (HR 1.05; [CI]: 1.01-1.09). The hemoglobin level that was maximally predictive of mortality, was 11.5 g/dL in males and 11.8 g/dL in females. These findings identify a routinely measured biomarker that is predictive of disease outcomes and will aid in refining clinical care algorithms and optimize resource allocation. Mechanisms of impacts of anemia on COVID-19 outcome are likely to be multiple in nature and require further investigation.
由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起的2019冠状病毒病(COVID-19)已导致一场前所未有的国际健康危机。COVID-19的临床表现涵盖从无症状到严重疾病及死亡的广泛范围。鉴于该疾病有限的治疗资源和意想不到的临床特征,迫切需要易于获取的预测性生物标志物来改善患者护理和管理。我们研究了贫血可能在多大程度上影响COVID-19患者的预后。为此,我们确定了2020年3月1日至4月1日在纽约市被确诊为COVID-19阳性的3777名患者。我们评估了2562名有红细胞、血红蛋白及相关实验室值的患者。多变量考克斯比例风险回归显示,贫血是死亡率的一个显著独立预测因素(风险比(HR):1.26,95%置信区间[CI]:1.06 - 1.51),独立于年龄、性别和合并症。当将血红蛋白视为连续变量时,贫血程度与死亡风险之间存在直接相关性(HR 1.05;[CI]:1.01 - 1.09)。对死亡率具有最大预测性的血红蛋白水平,男性为11.5 g/dL,女性为11.8 g/dL。这些发现确定了一种可常规测量的预测疾病预后的生物标志物,将有助于完善临床护理算法并优化资源分配。贫血对COVID-19预后的影响机制可能具有多种性质,需要进一步研究。