Critical care for severe coronavirus disease 2019: a population-based study from a province with low case-fatality rate in China

• Published in: Chinese medical journal Vol. 134; no. 1; pp. 98 - 100
• Main Authors: Liao, Xue-Lian, Chen, Hong, Li, Zhen, Wang, Bo, Zhang, Zhong-Wei, Li, Wei-Min, Liang, Zong-An, Tang, Jin, Wang, Jian, Shi, Rui, Jin, Xiao-Dong, Kang, Yan
• Format: Journal Article
• Language: English
• Published: China Lippincott Williams & Wilkins 03.11.2020; Lippincott Williams & Wilkins Ovid Technologies; Wolters Kluwer
• Subjects: Adult; Aged; China - epidemiology; Clinical Observation; Coronaviruses; COVID-19; COVID-19 - epidemiology; COVID-19 - mortality; COVID-19 - therapy; Critical Care; Epidemiology; Fatalities; Female; Humans; Male; Middle Aged; Patient-centered care; Population-based studies; SARS-CoV-2; Severe acute respiratory syndrome coronavirus 2; Ventilators; China
• ISSN: 0366-6999; 2542-5641
• DOI: 10.1097/CM9.0000000000001187

In this study, we described the clinical features, multi-strategy management, and respiratory support resources usage for the severe COVID-19 in Sichuan province, where the 28-day case-fatality rate was 0.6% in all patients and 3.7% in severe cases, which was much lower compared with that reported in most of the studies worldwide. Clinical outcomes by D28, including rapid recovery (RR), prolonged recovery (PR), and no recovery (NR), were defined as follows: (1) RR: patient fully meeting the discharge criteria before D28, with normal body temperature ≥3 days, obvious improvement in respiratory symptoms and pulmonary imaging, and twice-negative nucleic acid tests (sampling interval being at least 24 h) on respiratory samples; (2) PR: patient partially meeting the discharge criteria on D28 and still requiring hospitalization but without advanced respiratory support; (3) NR: death or the patient still in need of advanced respiratory support on D28. According to data reported in studies from Wuhan and a study from the US, IV was administered in 38.9% to 71% of severely ill patients. Acknowledgements The authors would like to thank Ms. Hai-Xin Miao and Mr. De-Song Qiu from Sichuan Zhikang Technology CO., Chengdu, for their help of establishing the electronic data capture and analysis system; the authors thank Ms. Yu Ma and Mr. Bi-Wei Zhan from Chengdu Urban Planning Information Technology Centre for the localization and mapping for the designated hospital.