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Epidemiological characteristics and clinical features of 32 critical and 67 noncritical cases of COVID-19 in Chengdu.
J Clin Virol. 2020 06; 127:104366.JC

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.

Authors+Show Affiliations

Chengdu Public Health Clinical Medical Center & Public Health Clinical Center of Chengdu University of Traditional Chinese Medicine, Chengdu, China. Electronic address: Zhyl1973@126.com.Chengdu Public Health Clinical Medical Center & Public Health Clinical Center of Chengdu University of Traditional Chinese Medicine, Chengdu, China.Chengdu Public Health Clinical Medical Center & Public Health Clinical Center of Chengdu University of Traditional Chinese Medicine, Chengdu, China.Chengdu Public Health Clinical Medical Center & Public Health Clinical Center of Chengdu University of Traditional Chinese Medicine, Chengdu, China.Chengdu Public Health Clinical Medical Center & Public Health Clinical Center of Chengdu University of Traditional Chinese Medicine, Chengdu, China.Chengdu Public Health Clinical Medical Center & Public Health Clinical Center of Chengdu University of Traditional Chinese Medicine, Chengdu, China.Chengdu Public Health Clinical Medical Center & Public Health Clinical Center of Chengdu University of Traditional Chinese Medicine, Chengdu, China.Chengdu Public Health Clinical Medical Center & Public Health Clinical Center of Chengdu University of Traditional Chinese Medicine, Chengdu, China.Chengdu Sixth People's Hospital, China. Electronic address: 188170370@qq.com.

Pub Type(s)

Comparative Study
Journal Article

Language

eng

PubMed ID

32302954

Citation

Zheng, Yongli, et al. "Epidemiological Characteristics and Clinical Features of 32 Critical and 67 Noncritical Cases of COVID-19 in Chengdu." Journal of Clinical Virology : the Official Publication of the Pan American Society for Clinical Virology, vol. 127, 2020, p. 104366.
Zheng Y, Xu H, Yang M, et al. Epidemiological characteristics and clinical features of 32 critical and 67 noncritical cases of COVID-19 in Chengdu. J Clin Virol. 2020;127:104366.
Zheng, Y., Xu, H., Yang, M., Zeng, Y., Chen, H., Liu, R., Li, Q., Zhang, N., & Wang, D. (2020). Epidemiological characteristics and clinical features of 32 critical and 67 noncritical cases of COVID-19 in Chengdu. Journal of Clinical Virology : the Official Publication of the Pan American Society for Clinical Virology, 127, 104366. https://doi.org/10.1016/j.jcv.2020.104366
Zheng Y, et al. Epidemiological Characteristics and Clinical Features of 32 Critical and 67 Noncritical Cases of COVID-19 in Chengdu. J Clin Virol. 2020;127:104366. PubMed PMID: 32302954.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Epidemiological characteristics and clinical features of 32 critical and 67 noncritical cases of COVID-19 in Chengdu. AU - Zheng,Yongli, AU - Xu,Hong, AU - Yang,Ming, AU - Zeng,Yilan, AU - Chen,Hong, AU - Liu,Ru, AU - Li,Qingfeng, AU - Zhang,Na, AU - Wang,Dan, Y1 - 2020/04/10/ PY - 2020/03/07/received PY - 2020/04/05/revised PY - 2020/04/06/accepted PY - 2020/4/18/pubmed PY - 2020/6/17/medline PY - 2020/4/18/entrez KW - COVID-19 KW - Chengdu KW - Clinical features KW - Critical illness KW - Epidemiological characteristics SP - 104366 EP - 104366 JF - Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology JO - J Clin Virol VL - 127 N2 - 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. SN - 1873-5967 UR - https://www.unboundmedicine.com/medline/citation/32302954/Epidemiological_characteristics_and_clinical_features_of_32_critical_and_67_noncritical_cases_of_COVID_19_in_Chengdu_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1386-6532(20)30108-6 DB - PRIME DP - Unbound Medicine ER -