Mu Genhua, Zhang Yanjie, Zhang Jialong, Cui Guangqing, Yuan Xiaochun, Pan Chun, Xu Jingyuan
Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
Department of Critical Care Medicine, Yancheng NO.1 People's Hospital, Yancheng, Jiangsu, China.
Ann Med. 2025 Dec;57(1):2534849. doi: 10.1080/07853890.2025.2534849. Epub 2025 Jul 20.
The aim of this study was to elucidate the relationship between HA levels and clinical outcomes, including disease severity and prognosis.
A retrospective multicenter cohort analysis was conducted across three medical centers in China from September 2022 to February 2023. Patients with positive nucleic acid for the novel coronavirus were included in the study. The primary endpoint is 28-day mortality.The severity was assessed by the 'Diagnosis and Treatment Plan for Novel Coronavirus Pneumonia (Trial Version 9)'. Analyses assessed HA correlation with severity (Kendall), predictive value for mortality (logistic regression, ROC, Delong test), and survival differences (KM analysis using a Youden index-derived HA cutoff).
A total of 862 patients (median age 72; 58.47% male) were included in the study, of whom 108 died. Non-survivors were older, more men, lower BMI, and more complicatinos. The overall median HA level was 121.65 ng/ml, significantly higher in non-survivors( < 0.001). Kendall correlation analysis revealed a significant correlation between HA level and COVID-19 severity (correlation coefficient: 0.365, < 0.001). Our preliminary analysis revealed positive correlations between HA and D-dimer and chest CT. In logistic regression models, HA was an independent predictor of 28-day mortality( = 0.001). The AUROC for HA was 0.840 (95% CI: 0.806-0.974). The cut-off value was 141.65 ng/ml (sensitivity 61.27%, specificity 91.67%). KM survival analysis showed that patients with HA levels higher than 141.65 ng/ml had a significantly lower survival probability( < 0.001).
HA may potentially function as a biomarker for COVID-19 and could provide a vital reference for the clinical treatment.
本研究旨在阐明透明质酸(HA)水平与临床结局之间的关系,包括疾病严重程度和预后。
于2022年9月至2023年2月在中国的三个医疗中心进行了一项回顾性多中心队列分析。纳入新型冠状病毒核酸检测呈阳性的患者。主要终点为28天死亡率。采用《新型冠状病毒肺炎诊疗方案(第九版)》评估疾病严重程度。分析评估HA与严重程度的相关性(肯德尔检验)、对死亡率的预测价值(逻辑回归、ROC曲线、德龙检验)以及生存差异(使用约登指数得出的HA临界值进行KM分析)。
本研究共纳入862例患者(中位年龄72岁;男性占58.47%),其中108例死亡。非幸存者年龄更大、男性更多、体重指数更低且并发症更多。总体HA水平中位数为121.65 ng/ml,非幸存者的该水平显著更高(<0.001)。肯德尔相关性分析显示HA水平与新型冠状病毒肺炎严重程度之间存在显著相关性(相关系数:0.365,<0.001)。我们的初步分析显示HA与D-二聚体及胸部CT之间存在正相关。在逻辑回归模型中,HA是28天死亡率的独立预测因素(=0.001)。HA的曲线下面积为0.840(95%置信区间:0.806-0.974)。临界值为141.65 ng/ml(敏感性61.27%,特异性91.67%)。KM生存分析表明,HA水平高于141.65 ng/ml的患者生存概率显著更低(<0.001)。
HA可能具有作为新型冠状病毒肺炎生物标志物的潜在作用,并可为临床治疗提供重要参考。