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江苏省 COVID-19 感染重症患者的临床特征及疾病进展预测因素:一项描述性研究。

Clinical Characteristics and Predictors of Disease Progression in Severe Patients with COVID-19 Infection in Jiangsu Province, China: A Descriptive Study.

机构信息

Department of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Department of Critical Care Medicine, Zhongda Hospital of Southeast University, Nanjing, China.

出版信息

Am J Med Sci. 2020 Aug;360(2):120-128. doi: 10.1016/j.amjms.2020.05.038. Epub 2020 Jun 1.

Abstract

BACKGROUND

We studied patients with coronavirus disease 2019 (COVID-19) infected by severe acute respiratory syndrome coronavirus 2, a virus that originated in Wuhan, China, and is spreading over the country including Jiangsu Province. We studied the clinical characteristics and therapies of severe cases in Jiangsu Province.

METHODS

A multicenter retrospective cohort study was conducted to analyze clinical, laboratory data and treatment of 60 severe cases with COVID-19 infection in Jiangsu Province between January 24, 2020 and April 20, 2020. The improvement and deterioration subgroups were compared to identify predictors of disease progression.

RESULTS

A total of 653 infected cases with COVID-19 were reported in Jiangsu Province, of which 60 severe cases were included in this study. Up until April 20, 2020, the mortality of severe patients was 0%. The median age was 57 years. The average body mass index of these patients was 25 kg/m². White blood cell counts decreased in 45.0% of patients, lymphopenia in 63.3%, thrombocytopenia in 13.3% and procalcitonin levels in 88.3% of the patients were less than 0.5 ng/mL. There were no statistically significant differences in immunoglobulin therapy and GCs therapy between the improvement and deterioration subgroups. Logistic regression analysis identified higher levels of troponin T (odds ratio [OR]: 1.04; 95% confidence interval [CI]: 1.00-1.08; P = 0.04), antiviral therapy with aerosol inhalation of interferon (OR: 6.33; 95% CI: 1.18-33.98; P = 0.03), and the application of non-invasive mechanical ventilation (OR: 1.99; 95%CI: 1.17-3.41; P = 0.01) as predictors of disease progression, whereas higher lymphocyte count (OR: 0.11; 95% CI: 0.02-0.57; P = 0.01) and early prone ventilation were associated with improvement (OR: 0.11; 95% CI: 0.01-0.98; P = 0.04).

CONCLUSIONS

COVID-19 infection had a low mortality rate in Jiangsu Province, China. The higher levels of troponin T and lower lymphocyte count were predictors of disease progression. Early prone ventilation may be an effective treatment for severe cases.

摘要

背景

我们研究了感染严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2)的 2019 年冠状病毒病(COVID-19)患者,该病毒源自中国武汉,并在中国各地传播,包括江苏省。我们研究了江苏省严重病例的临床特征和治疗方法。

方法

对 2020 年 1 月 24 日至 4 月 20 日期间江苏省 60 例 COVID-19 感染严重病例的临床、实验室数据和治疗进行多中心回顾性队列研究。比较好转和恶化亚组,以确定疾病进展的预测因素。

结果

江苏省共报告 653 例 COVID-19 感染病例,其中纳入本研究的严重病例 60 例。截至 2020 年 4 月 20 日,重症患者的死亡率为 0%。中位年龄为 57 岁。这些患者的平均体重指数为 25kg/m²。45.0%的患者白细胞计数下降,63.3%的患者淋巴细胞减少,13.3%的患者血小板减少,88.3%的患者降钙素原水平低于 0.5ng/mL。好转和恶化亚组之间免疫球蛋白治疗和 GCs 治疗无统计学差异。逻辑回归分析发现肌钙蛋白 T 水平较高(比值比[OR]:1.04;95%置信区间[CI]:1.00-1.08;P=0.04)、吸入干扰素抗病毒治疗(OR:6.33;95%CI:1.18-33.98;P=0.03)和应用无创机械通气(OR:1.99;95%CI:1.17-3.41;P=0.01)是疾病进展的预测因素,而较高的淋巴细胞计数(OR:0.11;95%CI:0.02-0.57;P=0.01)和早期俯卧位通气与改善相关(OR:0.11;95%CI:0.01-0.98;P=0.04)。

结论

江苏省 COVID-19 感染死亡率较低。肌钙蛋白 T 水平较高和淋巴细胞计数较低是疾病进展的预测因素。早期俯卧位通气可能是治疗严重病例的有效方法。

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