Epidemiological characteristics and clinical features of 32 critical and 67 noncritical cases of COVID-19 in Chengdu
View/ Open
Date
2020Author
Zheng, Yongli
Xu, Hong
Yang, Ming
Zeng, Yilan
Chen, Hong
Liu, Ru
Li, Qingfeng
Zhang, Na
Wang, Dan
Metadata
Show full item record
Documentos PDF
Abstract
Background: In December 2019, Wuhan, China, experienced an outbreak of coronavirus (COVID-19). The
number of cases has increased rapidly, but information on the clinical characteristics remains limited.
Objectives: This paper describes the epidemiological and clinical characteristics of COVID-19. Early detection
and identification of critically ill patients is necessary to facilitate scientific classification and treatment.
Study design: This study included a retrospective, single-center case series of 99 consecutively hospitalized patients with confirmed COVID-19 at Chengdu Public Health Clinical Medical Center in Chengdu, China, from
January 16 to February 20, 2020. The final date of follow-up was February 23, 2020.
We collected and analyzed epidemiological, demographic, clinical, laboratory, radiological, and treatment
data. We compared outcomes of critically ill patients and noncritically ill patients.
Results: Of the 99 hospitalized patients with COVID-19, the median age was 49 years (minimum, 3 months;
maximum, 87 years) and 51 (52 %) were men; 42 (42 %) had traveled to or lived in Wuhan and 48 (49 %) had
come into close contact with patients with new coronavirus pneumonia; 41 (41 %) patients had underlying
disease. Common symptoms included fever (85 [86 %]), dry cough (84 [85 %]), and fatigue (72 [73 %]).
We analyzed the clinical characteristics of patients. We expressed the measurement data as mean ± standard
deviation. We collected data for age (49.39 ± 18.45 years), number of hospital days (12.32 ± 6.70 days), and
laboratory indicators.
We compared critically ill and noncritically ill patients: p-values for age, C-reactive protein, high-sensitivity
troponin T, prothrombin time, fibrin degradation products, D-Dimer, and CD4+ count were p < 0.001; and pvalues for hospital days, white blood cell, neutrophil, lymphocyte, creatine kinase isoenzyme, myoglobin, Nterminal brain natriuretic peptide, and CD8+ count were p < 0.05.
Conclusions: We collected data from a single-center case series of 32 hospitalized patients who were critically ill
with confirmed COVID-19 in Chengdu, China, and compared data with 67 noncritically ill patients. Elderly
patients had chronic underlying diseases, notably cardiovascular disease. Higher C-reactive protein levels,
higher levels of myocardial damage, and higher brain natriuretic peptide levels; lower white blood cells, neutrophils, and lymphocytes; and lower CD4 and CD8 counts could be used for early detection and identification of
critically ill patients, and dynamic Data observation was more important than at a single moment.
Palabras clave
Epidemiological characteristics; Clinical features; Critical illness; COVID-19; ChengduLink to resource
https://doi.org/10.1016/j.jcv.2020.104366Collections
Comments
Respuesta Comentario Repositorio Expeditio
Gracias por tomarse el tiempo para darnos su opinión.