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Epidemiological and clinical characteristics of 47 corona virus disease 2019 non-survivors in Huoshenshan Hospital
Med. J. Chin. Peoples Liberation Army ; 5(45):475-480, 2020.
Article in Chinese | ELSEVIER | ID: covidwho-701007
ABSTRACT
Objective To provide a basis for further optimizing the diagnosis and treatment strategies of severe and critical corona virus disease 2019 (COVID-19) by investigating and analyzing the epidemiological and clinical characteristics of the death cases. Methods The epidemiological and clinical characteristics of 47 death cases obtained from Huoshenshan Hospital in Whuhan, Hubei Province were retrospectively analyzed. Results All the patients developed initial symptoms in Wuhan. The time from onset to admission was (12.60±5.60) days. Most of them were male (68.09%) with non-nosocomial infection (91.49%), advanced age (>60 years, 89.36%). Over half of the cases (51.06%) reported a history of contact with suspected or confirmed patients, and comorbidity of chronic diseases (70.21%). Multiple organ dysfunction syndrome (MODS) occurred in 29 cases (61.70%) with heart failure (51.06%) and renal failure (36.17%). The main clinical symptoms included fever, fatigue, dyspnea and cough. At admission,most cases were severe (55.32%) or critical (42.55%), and the in-hospital survival was longer for the severe than for the critical (P=0.02). 76.59% of the patients received invasive mechanical ventilation, and they had a longer in-hospital survival than those with non-invasive mechanical ventilation (P<0.05). Conclusions This group of cases occurred during the peak of the COVID-19 outbreak in China, characterized by male, elder and history of chronic diseases. Acute respiratory distress syndrome (ARDS) caused by COVID-19 was responsible for patients' death, and MODS manifestated by heart and kidney failure also implicated in the process. Disease severity and invasive mechanical ventilation were related to in-hospital survival.

Full text: Available Collection: Databases of international organizations Database: ELSEVIER Type of study: Observational study / Prognostic study Topics: Long Covid Language: Chinese Journal: Med. J. Chin. Peoples Liberation Army Year: 2020 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: ELSEVIER Type of study: Observational study / Prognostic study Topics: Long Covid Language: Chinese Journal: Med. J. Chin. Peoples Liberation Army Year: 2020 Document Type: Article