tetano
Editor, Senior Moderator
J Clin Virol. 2020 Apr 10;127:104366. doi: 10.1016/j.jcv.2020.104366. [Epub ahead of print]
Epidemiological characteristics and clinical features of 32 critical and 67 noncritical cases of COVID-19 in Chengdu.
Zheng Y[SUP]1[/SUP], Xu H[SUP]2[/SUP], Yang M[SUP]2[/SUP], Zeng Y[SUP]2[/SUP], Chen H[SUP]2[/SUP], Liu R[SUP]2[/SUP], Li Q[SUP]2[/SUP], Zhang N[SUP]2[/SUP], Wang D[SUP]3[/SUP].
Author information
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 p-values for hospital days, white blood cell, neutrophil, lymphocyte, creatine kinase isoenzyme, myoglobin, N-terminal 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.
Copyright ? 2020 The Author(s). Published by Elsevier B.V. All rights reserved.
KEYWORDS:
COVID-19; Chengdu; Clinical features; Critical illness; Epidemiological characteristics
PMID:32302954DOI:10.1016/j.jcv.2020.104366
Epidemiological characteristics and clinical features of 32 critical and 67 noncritical cases of COVID-19 in Chengdu.
Zheng Y[SUP]1[/SUP], Xu H[SUP]2[/SUP], Yang M[SUP]2[/SUP], Zeng Y[SUP]2[/SUP], Chen H[SUP]2[/SUP], Liu R[SUP]2[/SUP], Li Q[SUP]2[/SUP], Zhang N[SUP]2[/SUP], Wang D[SUP]3[/SUP].
Author information
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 p-values for hospital days, white blood cell, neutrophil, lymphocyte, creatine kinase isoenzyme, myoglobin, N-terminal 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.
Copyright ? 2020 The Author(s). Published by Elsevier B.V. All rights reserved.
KEYWORDS:
COVID-19; Chengdu; Clinical features; Critical illness; Epidemiological characteristics
PMID:32302954DOI:10.1016/j.jcv.2020.104366