2019 年冠状病毒病 (COVID-19) 大流行是一种迅速发展的全球紧急情况，持续对公众健康构成严重威胁，凸显了识别疾病严重程度和进展的生物标志物的迫切需要。为了及早识别重症和危重症患者，我们回顾性分析了2019冠状病毒病（COVID-19）患者的临床特征和重症风险指标。该研究共纳入420例确诊的COVID-19患者。根据《新型冠状病毒肺炎诊疗方案（第10版）》将病例分为轻型组（n=243）和重型组（n=177）。结合临床数据对实验室参数进行分析。46岁以上有吸烟习惯的男性患者更容易患上重症COVID-19。危重患者淋巴细胞计数和红细胞计数较低，白细胞计数较高（P<0.05）。预计血清炎症因子（NLR、PLR、LMR、CLR、PCT、CRP）、凝血标志物（APTT、PT、TT、FIB、D-二聚体）、心肌损伤标志物（hs-TNT、LDH）显着升高（P <0.05）在重症 COVID-19 患者中。令人惊讶的是，这些患者的常见肿瘤标志物（ProGRP、CYFRA21-1、SCC、NSE）水平明显升高（P<0.05）。在这种情况下，肿瘤标志物的水平更多地反映了炎症状况，而不是肿瘤的生长情况。更重要的是，HA 和 PIIIN-P 与 COVID-19 的严重程度高度相关。 HA和PIIIN-P诊断重症COVID-19的ROC曲线的AUC为0.826。同时，HA与心肌损伤标志物（hs-TNT、LDH）呈正相关。 PIIIN-P与心肌损伤标志物(hs-TNT、LDH)和炎症因子(NLR、PLR、LMR、CLR、ProGRP、SCC、PCT、CRP)呈正相关。相反，PIIIN-P与肺功能指标（氧合指数和血红蛋白氧饱和度）呈负相关。HA和PIIIN-P与COVID-19的疾病严重程度和进展高度相关，可以作为新的标记物严重 COVID-19 的预测。版权所有 © 2023 Yang、Liu、Wu、Xue 和 He。

The coronavirus disease 2019 (COVID-19) pandemic is a rapidly evolving global emergency and continuously poses a serious threat to public health, highlighting the urgent need of identifying biomarkers for disease severity and progression. In order to early identify severe and critical patients, we retrospectively analyze the clinical characteristics and risk indicators of severe disease in patients with corona virus disease 2019 (COVID-19).A total of 420 confirmed COVID-19 patients were included in the study. According to the "Diagnosis and Treatment of novel coronavirus Pneumonia (10th Edition)", the cases were divided into mild group (n = 243) and severe group (n =177). Laboratory parameters were analyzed in combination with clinical data.Male patients over 46 years who have smoking habits were more likely to suffer from severe COVID-19. Critically ill patients had lower lymphocyte counts and red blood cell counts, and higher white blood cell counts (P<0.05). Expectedly, serum inflammatory factors (NLR, PLR, LMR, CLR, PCT, CRP), coagulation markers (APTT, PT, TT, FIB, D-Dimer), Myocardial damage markers (hs-TNT, LDH) were significantly increased (P<0.05) in severe COVID-19 patients. Surprisedly, those patients showed obviously elevated levels of common tumor markers (ProGRP, CYFRA21-1, SCC, NSE) (P<0.05). In this case, the levels of tumor marker reflected more the condition of inflammation than the growth of tumor. More importantly, HA and PIIIN-P were highly associated with COVID-19 severity. The AUC of the ROC curve for the diagnosis of severe COVID-19 by HA and PIIIN-P was 0.826. Meanwhile, HA was positively correlated with myocardial damage markers (hs-TNT, LDH). PIIIN-P was positively correlated with myocardial damage markers (hs-TNT, LDH) and inflammatory factors (NLR, PLR, LMR, CLR, ProGRP, SCC, PCT, CRP). On the contrary, PIIIN-P was negatively correlated with pulmonary function indexes (oxygenation index and oxygen saturation of hemoglobin).HA and PIIIN-P are highly associated with disease severity and progression of COVID-19 and can be used as new markers for the prediction of severe COVID-19.Copyright © 2023 Yang, Liu, Wu, Xue and He.