Cargando…

Epidemiology of 631 Cases of COVID-19 Identified in Jiangsu Province Between January 1(st) and March 20(th) 2020: Factors Associated with Disease Severity and Analysis of Zero Mortality

BACKGROUND: This retrospective study aimed to investigate the factors associated with disease severity and patient outcomes in 631 patients with COVID-19 who were reported to the Jiangsu Commission of Health between January 1 and March 20, 2020. MATERIAL/METHODS: We conducted an epidemiological inve...

Descripción completa

Detalles Bibliográficos
Autores principales: Ji, Hong, Dai, Qigang, Jin, Hui, Xu, Ke, Ai, Jing, Fang, Xinyu, Shi, Naiyang, Huang, Haodi, Wu, Ying, Peng, Zhihang, Hu, Jianli, Zhu, Liguo, Bao, Changjun, Wu, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059346/
https://www.ncbi.nlm.nih.gov/pubmed/33863868
http://dx.doi.org/10.12659/MSM.929986
_version_ 1783681180557639680
author Ji, Hong
Dai, Qigang
Jin, Hui
Xu, Ke
Ai, Jing
Fang, Xinyu
Shi, Naiyang
Huang, Haodi
Wu, Ying
Peng, Zhihang
Hu, Jianli
Zhu, Liguo
Bao, Changjun
Wu, Ming
author_facet Ji, Hong
Dai, Qigang
Jin, Hui
Xu, Ke
Ai, Jing
Fang, Xinyu
Shi, Naiyang
Huang, Haodi
Wu, Ying
Peng, Zhihang
Hu, Jianli
Zhu, Liguo
Bao, Changjun
Wu, Ming
author_sort Ji, Hong
collection PubMed
description BACKGROUND: This retrospective study aimed to investigate the factors associated with disease severity and patient outcomes in 631 patients with COVID-19 who were reported to the Jiangsu Commission of Health between January 1 and March 20, 2020. MATERIAL/METHODS: We conducted an epidemiological investigation enrolling 631 patients with laboratory-confirmed COVID-19 from our clinic from January to March 2020. Patients’ information was collected through a standard questionnaire. Then, we described the patients’ epidemiological characteristics, analyzed risk factors associated with disease severity, and assessed causes of zero mortality. Additionally, some key technologies for epidemic prevention and control were identified. RESULTS: Of the 631 patients, 8.46% (n=53) were severe cases, and no deaths were recorded (n=0). The epidemic of COVID-19 has gone through 4 stages: a sporadic phase, an exponential growth phase, a peak plateau phase, and a declining phase. The proportion of severe cases was significantly different among the 4 stages and 13 municipal prefectures (P<0.001). Factors including age >65 years old, underlying medical conditions, highest fever >39.0°C, dyspnea, and lymphocytopenia (<1.0×10(9)/L) were early warning signs of disease severity (P<0.05). In contrast, earlier clinic visits were associated with better patient outcomes (P=0.029). Further, the viral load was a potentially useful marker associated with COVID-19 infection severity. CONCLUSIONS: The study findings from the beginning of the COVID-19 epidemic in Jiangsu Province, China showed that patients who were more than 65 years of age and with comorbidities and presented with a fever of more than 39.0°C developed more severe disease. However, mortality was prevented in this initial patient population by early supportive clinical management.
format Online
Article
Text
id pubmed-8059346
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher International Scientific Literature, Inc.
record_format MEDLINE/PubMed
spelling pubmed-80593462021-04-27 Epidemiology of 631 Cases of COVID-19 Identified in Jiangsu Province Between January 1(st) and March 20(th) 2020: Factors Associated with Disease Severity and Analysis of Zero Mortality Ji, Hong Dai, Qigang Jin, Hui Xu, Ke Ai, Jing Fang, Xinyu Shi, Naiyang Huang, Haodi Wu, Ying Peng, Zhihang Hu, Jianli Zhu, Liguo Bao, Changjun Wu, Ming Med Sci Monit Clinical Research BACKGROUND: This retrospective study aimed to investigate the factors associated with disease severity and patient outcomes in 631 patients with COVID-19 who were reported to the Jiangsu Commission of Health between January 1 and March 20, 2020. MATERIAL/METHODS: We conducted an epidemiological investigation enrolling 631 patients with laboratory-confirmed COVID-19 from our clinic from January to March 2020. Patients’ information was collected through a standard questionnaire. Then, we described the patients’ epidemiological characteristics, analyzed risk factors associated with disease severity, and assessed causes of zero mortality. Additionally, some key technologies for epidemic prevention and control were identified. RESULTS: Of the 631 patients, 8.46% (n=53) were severe cases, and no deaths were recorded (n=0). The epidemic of COVID-19 has gone through 4 stages: a sporadic phase, an exponential growth phase, a peak plateau phase, and a declining phase. The proportion of severe cases was significantly different among the 4 stages and 13 municipal prefectures (P<0.001). Factors including age >65 years old, underlying medical conditions, highest fever >39.0°C, dyspnea, and lymphocytopenia (<1.0×10(9)/L) were early warning signs of disease severity (P<0.05). In contrast, earlier clinic visits were associated with better patient outcomes (P=0.029). Further, the viral load was a potentially useful marker associated with COVID-19 infection severity. CONCLUSIONS: The study findings from the beginning of the COVID-19 epidemic in Jiangsu Province, China showed that patients who were more than 65 years of age and with comorbidities and presented with a fever of more than 39.0°C developed more severe disease. However, mortality was prevented in this initial patient population by early supportive clinical management. International Scientific Literature, Inc. 2021-04-17 /pmc/articles/PMC8059346/ /pubmed/33863868 http://dx.doi.org/10.12659/MSM.929986 Text en © Med Sci Monit, 2021 https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Clinical Research
Ji, Hong
Dai, Qigang
Jin, Hui
Xu, Ke
Ai, Jing
Fang, Xinyu
Shi, Naiyang
Huang, Haodi
Wu, Ying
Peng, Zhihang
Hu, Jianli
Zhu, Liguo
Bao, Changjun
Wu, Ming
Epidemiology of 631 Cases of COVID-19 Identified in Jiangsu Province Between January 1(st) and March 20(th) 2020: Factors Associated with Disease Severity and Analysis of Zero Mortality
title Epidemiology of 631 Cases of COVID-19 Identified in Jiangsu Province Between January 1(st) and March 20(th) 2020: Factors Associated with Disease Severity and Analysis of Zero Mortality
title_full Epidemiology of 631 Cases of COVID-19 Identified in Jiangsu Province Between January 1(st) and March 20(th) 2020: Factors Associated with Disease Severity and Analysis of Zero Mortality
title_fullStr Epidemiology of 631 Cases of COVID-19 Identified in Jiangsu Province Between January 1(st) and March 20(th) 2020: Factors Associated with Disease Severity and Analysis of Zero Mortality
title_full_unstemmed Epidemiology of 631 Cases of COVID-19 Identified in Jiangsu Province Between January 1(st) and March 20(th) 2020: Factors Associated with Disease Severity and Analysis of Zero Mortality
title_short Epidemiology of 631 Cases of COVID-19 Identified in Jiangsu Province Between January 1(st) and March 20(th) 2020: Factors Associated with Disease Severity and Analysis of Zero Mortality
title_sort epidemiology of 631 cases of covid-19 identified in jiangsu province between january 1(st) and march 20(th) 2020: factors associated with disease severity and analysis of zero mortality
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059346/
https://www.ncbi.nlm.nih.gov/pubmed/33863868
http://dx.doi.org/10.12659/MSM.929986
work_keys_str_mv AT jihong epidemiologyof631casesofcovid19identifiedinjiangsuprovincebetweenjanuary1standmarch20th2020factorsassociatedwithdiseaseseverityandanalysisofzeromortality
AT daiqigang epidemiologyof631casesofcovid19identifiedinjiangsuprovincebetweenjanuary1standmarch20th2020factorsassociatedwithdiseaseseverityandanalysisofzeromortality
AT jinhui epidemiologyof631casesofcovid19identifiedinjiangsuprovincebetweenjanuary1standmarch20th2020factorsassociatedwithdiseaseseverityandanalysisofzeromortality
AT xuke epidemiologyof631casesofcovid19identifiedinjiangsuprovincebetweenjanuary1standmarch20th2020factorsassociatedwithdiseaseseverityandanalysisofzeromortality
AT aijing epidemiologyof631casesofcovid19identifiedinjiangsuprovincebetweenjanuary1standmarch20th2020factorsassociatedwithdiseaseseverityandanalysisofzeromortality
AT fangxinyu epidemiologyof631casesofcovid19identifiedinjiangsuprovincebetweenjanuary1standmarch20th2020factorsassociatedwithdiseaseseverityandanalysisofzeromortality
AT shinaiyang epidemiologyof631casesofcovid19identifiedinjiangsuprovincebetweenjanuary1standmarch20th2020factorsassociatedwithdiseaseseverityandanalysisofzeromortality
AT huanghaodi epidemiologyof631casesofcovid19identifiedinjiangsuprovincebetweenjanuary1standmarch20th2020factorsassociatedwithdiseaseseverityandanalysisofzeromortality
AT wuying epidemiologyof631casesofcovid19identifiedinjiangsuprovincebetweenjanuary1standmarch20th2020factorsassociatedwithdiseaseseverityandanalysisofzeromortality
AT pengzhihang epidemiologyof631casesofcovid19identifiedinjiangsuprovincebetweenjanuary1standmarch20th2020factorsassociatedwithdiseaseseverityandanalysisofzeromortality
AT hujianli epidemiologyof631casesofcovid19identifiedinjiangsuprovincebetweenjanuary1standmarch20th2020factorsassociatedwithdiseaseseverityandanalysisofzeromortality
AT zhuliguo epidemiologyof631casesofcovid19identifiedinjiangsuprovincebetweenjanuary1standmarch20th2020factorsassociatedwithdiseaseseverityandanalysisofzeromortality
AT baochangjun epidemiologyof631casesofcovid19identifiedinjiangsuprovincebetweenjanuary1standmarch20th2020factorsassociatedwithdiseaseseverityandanalysisofzeromortality
AT wuming epidemiologyof631casesofcovid19identifiedinjiangsuprovincebetweenjanuary1standmarch20th2020factorsassociatedwithdiseaseseverityandanalysisofzeromortality