D-Dimer as a Predictive Biomarker of Severity and Mortality in COVID-19 Patients

Firas Hussein
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Abstract

Background: Since December 2019, Coronavirus has been spreading widely becoming a fatal global pandemic. We need to understand the pathophysiological mechanisms of the disease in order to determine early and effective predictive biomarkers for severity and mortality, therefore finding better treatment approaches. Object: We aim to investigate the predictive value of d-dimer in COVID-19 in order to determine the severity, mortality and the risk of developing thrombotic events. Methods: We enrolled patients with confirmed COVID-19 who referred to the COVID department at Tishreen University Hospital (Latakia, Syria) from May 2020 to March 2021. We retrospectively documented demographic characteristics, clinical data, laboratory parameters and chest computed tomography staging. We followed up the patients' clinical progress during hospitalization, as well as their need for supportive oxygen (invasive and non-invasive mechanical ventilation) and the occurrence of thrombotic complications during hospitalization. Finally, we listed the cases of recovery and death. Results: We included 284 patients (68.3% males and 31.7% females). The mean age was 65 years, ranging from 27 to 92. D-dimer was only obtained for 193 patients, which included 28 mild to moderate, 115 severe and 50 critically ill patients. D-dimer was elevated (≥ 500 ng/mL) in 110 patients. On admission, D-dimer level was associated with an increased clinical severity. It was higher in critically ill compared to moderate cases ([3397.5±3296.7]ng/mL vs [1066.1± 1963.2] ng/ml, P = 0.0001) as well as for radiographic severity ([626.5±1047.1] ng/mL vs [2262.6± 2751.2] ng/ml, P= 0.007), respectively. All of those who did not survive had increased D-dimer level upon admission. When compared between patients who survived and who died during hospitalization, a significantly higher D-dimer level was detected in non-survivors versus survivors ([3099.9±2808.2] ng/mL vs [1308.9± 2249.3] ng/ml, P= 0.0001). ...........
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d -二聚体作为COVID-19患者严重程度和死亡率的预测性生物标志物
背景:自2019年12月以来,冠状病毒广泛传播,成为一种致命的全球大流行。我们需要了解疾病的病理生理机制,以便确定早期和有效的严重程度和死亡率的预测性生物标志物,从而找到更好的治疗方法。目的:探讨d-二聚体在COVID-19中的预测价值,以确定患者的严重程度、死亡率和发生血栓事件的风险。方法:我们招募了2020年5月至2021年3月在叙利亚拉塔基亚Tishreen大学医院COVID科转诊的确诊COVID-19患者。我们回顾性地记录了人口学特征、临床资料、实验室参数和胸部计算机断层扫描分期。随访患者住院期间的临床进展情况,支持氧需求(有创和无创机械通气)及住院期间血栓性并发症的发生情况。最后,我们列出了康复和死亡的案例。结果:284例患者(男性68.3%,女性31.7%)。平均年龄为65岁,年龄从27岁到92岁不等。仅193例患者获得d -二聚体,其中轻中度患者28例,重症患者115例,危重症患者50例。110例患者d -二聚体升高(≥500 ng/mL)。入院时,d -二聚体水平与临床严重程度增加相关。危重患者比中度患者([3397.5±3296.7]ng/mL vs[1066.1±1963.2]ng/mL, P= 0.0001)和严重患者([626.5±1047.1]ng/mL vs[2262.6±2751.2]ng/mL, P= 0.007)分别更高。所有未存活的患者入院时d -二聚体水平均升高。在住院期间存活和死亡患者之间进行比较,非存活患者的d -二聚体水平明显高于存活患者([3099.9±2808.2]ng/mL vs[1308.9±2249.3]ng/mL, P= 0.0001). ...........
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