Department of Geriatric Medicine, Qilu Hospital of Shandong University.
Department of Pulmonary and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology.
Int J Med Sci. 2020 Jul 25;17(13):2052-2062. doi: 10.7150/ijms.47935. eCollection 2020.
The outbreak of coronavirus disease 2019 (COVID-19) is quickly turning into a pandemic. We aimed to further clarify the clinical characteristics and the relationship between these features and disease severity. In this retrospective single-center study, demographic, clinical and laboratory data were collected and analyzed among moderate, severe and critically ill group patients. 88 hospitalization patients confirmed COVID-19 were enrolled in this study. The average age of the patients was 57.11 years (SD, ±15.39). Of these 88 patients, the median body mass index (BMI) was 24.03 (IQR, 21.64-26.61; range 15.05-32.39), the median duration from disease onset to hospital admission were 11 days (IQR, 6.50-14.50). 46.59% patients had one or more comorbidities, with hypertension being the most common (26.14%), followed by diabetes mellitus (12.50%) and coronary atherosclerotic heart disease (CAD) (7.95%). Common symptoms at onset of disease were fever (71.59%), cough (59.09%), dyspnea (38.64%) and fatigue (29.55%). 88 patients were divided into moderate (47 [53.41%]), severe (32 [36.36%]) and critically ill (9 [10.23%]) groups. Compared with severe and moderate patients, lymphocytopenia occurred in 85.71% critically ill patients, and serum IL-2R, IL-6, IL-8, TNF-α, LDH, and cTnI were also increased in 71.42%, 83.33%, 57.14%, 71.43%, 100% and 42.86% in critically ill patients. Through our analysis, the age, comorbidities, lymphocyte count, eosinophil count, ferritin, CRP, LDH, PT and inflammatory cytokines were statistically significant along with the disease severity. We found some clinical characteristic and inflammatory cytokines could reveal the severity of COVID-19 during the outbreak phage. Our research could assist the clinicians recognize severe and critically ill patients timely and focus on the expectant treatment for each patient.
2019 年冠状病毒病（COVID-19）的爆发迅速演变成大流行。我们旨在进一步阐明临床特征以及这些特征与疾病严重程度之间的关系。 在这项回顾性单中心研究中，收集并分析了中度，重度和危重症组患者的人口统计学，临床和实验室数据。 这项研究共纳入 88 例确诊 COVID-19 的住院患者。患者的平均年龄为 57.11 岁（标准差，±15.39）。在这 88 例患者中，中位数体重指数（BMI）为 24.03（IQR，21.64-26.61；范围 15.05-32.39），从发病到住院的中位数时间为 11 天（IQR，6.50-14.50）。46.59％的患者有一个或多个合并症，其中最常见的是高血压（26.14％），其次是糖尿病（12.50％）和冠心病（CAD）（7.95％）。疾病发作时常见的症状是发烧（71.59％），咳嗽（59.09％），呼吸困难（38.64％）和疲劳（29.55％）。88 例患者分为中度（47 [53.41％]），重度（32 [36.36％]）和危重症（9 [10.23％]）组。与重度和中度患者相比，85.71％的危重症患者发生淋巴细胞减少症，71.42％，83.33％，57.14％，71.43％，100％和 42.86％的危重症患者血清 IL-2R，IL-6，IL-8，TNF-α，LDH 和 cTnI 也升高。通过我们的分析，年龄，合并症，淋巴细胞计数，嗜酸性粒细胞计数，铁蛋白，CRP，LDH，PT 和炎症细胞因子与疾病严重程度呈统计学意义。 我们发现一些临床特征和炎症细胞因子可以在大流行阶段揭示 COVID-19 的严重程度。我们的研究可以帮助临床医生及时识别重症和危重症患者，并专注于每位患者的预期治疗。
