Department of Biochemistry, All India Institute of Medical Sciences, Bathinda, India.
Department of Biochemistry, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi, India.
Front Cell Infect Microbiol. 2021 Oct 25;11:674277. doi: 10.3389/fcimb.2021.674277. eCollection 2021.
The COVID-19 pandemic has caused huge socio-economic losses and continues to threat humans worldwide. With more than 4.5 million deaths and more than 221 million confirmed COVID-19 cases, the impact on physical, mental, social and economic resources is immeasurable. During any novel disease outbreak, one of the primary requirements for effective mitigation is the knowledge of clinical manifestations of the disease. However, in absence of any unique identifying characteristics, diagnosis/prognosis becomes difficult. It intensifies misperception and leads to delay in containment of disease spread. Numerous clinical research studies, systematic reviews and meta-analyses have generated considerable data on the same. However, identification of some of the distinct clinical signs and symptoms, disease progression biomarkers and the risk factors leading to adverse COVID-19 outcomes warrant in-depth understanding. In view of this, we assessed 20 systematic reviews and meta-analyses with an intent to understand some of the potential independent predictors/biomarkers/risk factors of COVID-19 severity and mortality.
COVID-19 大流行造成了巨大的社会经济损失，并继续威胁着全世界的人类。全球已有超过 450 万人死亡，超过 2.21 亿例确诊的 COVID-19 病例，对身体、心理、社会和经济资源的影响是不可估量的。在任何新疾病爆发期间，有效缓解的首要要求之一是了解疾病的临床表现。然而，由于缺乏任何独特的识别特征，诊断/预后变得困难。这加剧了误解，并导致疾病传播的控制延迟。大量的临床研究、系统评价和荟萃分析已经产生了大量关于这方面的数据。然而，确定一些独特的临床体征和症状、疾病进展生物标志物以及导致 COVID-19 不良结局的危险因素需要深入了解。有鉴于此，我们评估了 20 项系统评价和荟萃分析，旨在了解 COVID-19 严重程度和死亡率的一些潜在独立预测因素/生物标志物/危险因素。
