Translational Medicine Center, Xi'an Chest Hospital, The Affiliated Chest Hospital of Xi'an Jiaotong University Medical School, Xi'an, China.
Department of Information, Xi'an Chest Hospital, The Affiliated Chest Hospital of Xi'an Jiaotong University Medical School, Xi'an, China.
Pathobiology. 2023;90(4):241-250. doi: 10.1159/000528318. Epub 2023 Feb 1.
The present study aimed to analyze the clinical features and laboratory markers of patients with Delta variant SARS-CoV-2 and explore the role of platelet in predicting the severity of Delta.
This retrospective, observational study was conducted on 863 patients laboratory-confirmed Delta variant SARS-CoV-2. These cases were sub-classified based on disease severity into mild (n = 304), moderate (n = 537), and severe (n = 22). A series of laboratory findings and clinical data were collected and analyzed during hospitalization.
Of 863 hospitalized patients with Delta, the median age was 38 years (interquartile range, 30-51 years) and 471 (54.58%) were male. The most common clinical symptoms mainly included cough, fever, pharyngalgia, expectoration, dyspnea, fatigue, and headache, and the commonest comorbidities were hypertension and diabetes. Among the hematological variables, neutrophil count, red blood cell count, and hemoglobin, were found to be statistically significant with regard to subcategories based of disease severity (p < 0.05). Among coagulation parameters, there was a statistically significant difference in D-dimer, fibrinogen, international normalized ratio, and prothrombin time (p < 0.05). Statistically significant differences were observed in platelet markers including platelet count, large platelet count, and plateletcrit (p < 0.05). Additionally, there was strong correlation between platelet and other parameters with disease severity. Logistical regression analysis and ROC curves showed that D-dimer was a single best marker of disease severity (p = 0.005, p < 0.0001); however, platelet (p = 0.009, p = 0.002) and plateletcrit (p = 0.002, p = 0.001) could also predict severe disease. Platelet was identified as an independent risk factor for severe Delta.
Low platelet may be a marker of disease severity in Delta variant SARS-CoV-2 and may contribute to determine the severity of patients infected with Delta.
本研究旨在分析德尔塔变异株 SARS-CoV-2 患者的临床特征和实验室标志物,并探讨血小板在预测德尔塔严重程度中的作用。
本回顾性观察性研究纳入了 863 例实验室确诊的德尔塔变异株 SARS-CoV-2 患者。根据疾病严重程度将这些病例分为轻症(n = 304)、中症(n = 537)和重症(n = 22)。收集并分析患者住院期间的一系列实验室检查结果和临床数据。
863 例住院德尔塔变异株患者的中位年龄为 38 岁(四分位距,30~51 岁),471 例(54.58%)为男性。最常见的临床症状主要包括咳嗽、发热、咽痛、咳痰、呼吸困难、乏力和头痛,最常见的合并症为高血压和糖尿病。在血液学变量中,中性粒细胞计数、红细胞计数和血红蛋白与疾病严重程度的亚组有统计学差异(p < 0.05)。在凝血参数中,D-二聚体、纤维蛋白原、国际标准化比值和凝血酶原时间有统计学差异(p < 0.05)。血小板标志物包括血小板计数、大血小板计数和血小板压积有统计学差异(p < 0.05)。此外,血小板与其他与疾病严重程度相关的参数之间存在强相关性。逻辑回归分析和 ROC 曲线显示,D-二聚体是疾病严重程度的单一最佳标志物(p = 0.005,p < 0.0001);然而,血小板(p = 0.009,p = 0.002)和血小板压积(p = 0.002,p = 0.001)也可预测重症疾病。血小板被确定为德尔塔变异株严重疾病的独立危险因素。
血小板降低可能是德尔塔变异株 SARS-CoV-2 疾病严重程度的标志物,并有助于确定感染德尔塔变异株患者的严重程度。