Rxivist logo

Clinical features and management of severe COVID-19: A retrospective study in Wuxi, Jiangsu Province, China

By Xiufeng Jiang, Jianxin Tao, Hui Wu, Yixin Wang, Wei Zhao, Min Zhou, Jiehui Huang, Qian You, Hua Meng, Feng Zhu, Xiaoqing Zhang, Meifang Qian, Yuanwang Qiu

Posted 14 Apr 2020
medRxiv DOI: 10.1101/2020.04.10.20060335

Objective: We aimed to investigate clinical features and management of 55 COVID-19 patients in Wuxi, especially severe COVID-19. Methods: Epidemiological, demographic, clinical, laboratory, imaging, treatment, and outcome data of patients were collected. Follow-up lasted until April 6, 2020. Results: All 55 patients included 47 (85.5%) non-severe patients and 8 (14.5%) severe patients. Common comorbidities were hypertension and diabetes. Common symptoms were fever, cough and sputum. Lymphopenia was a common laboratory finding, and ground-glass opacity was a common chest CT feature. All patients received antiviral therapy of -interferon inhalation and lopinavir-ritonavir tablets. Common complications included acute liver injury and respiratory failure. All patients were discharged. No death was occurred and no medical staff got infected. Patients with severe COVID-19 showed significantly older age, decreased lymphocytes, increased C reactive protein, and higher frequency of bilateral lung infiltration compared to non-severe patients. Significantly more treatments including antibiotic therapy and mechanical ventilation, longer hospitalization stay and higher cost were shown on severe patients. Conclusions: Our study suggested that patients with severe COVID-19 may be more likely to have an older age, present with lymphopenia and bilateral lung infiltration, receive multiple treatments and stay longer in hospital.

Download data

  • Downloaded 1,153 times
  • Download rankings, all-time:
    • Site-wide: 20,191
    • In infectious diseases: 1,945
  • Year to date:
    • Site-wide: 66,295
  • Since beginning of last month:
    • Site-wide: 87,405

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

News