Your browser doesn't support javascript.
Clinical characteristics of 145 patients with corona virus disease 2019 (COVID-19) in Taizhou, Zhejiang, China.
Chen, Qingqing; Zheng, Zhencang; Zhang, Chao; Zhang, Xijiang; Wu, Huijuan; Wang, Jingdong; Wang, Shuwei; Zheng, Cheng.
  • Chen Q; Department of Critical Care Medicine, Taizhou Enze Medical Center (Group) Enze Hospital, Taizhou, 318050, Zhejiang, China.
  • Zheng Z; Department of Critical Care Medicine, Taizhou Enze Medical Center (Group) Enze Hospital, Taizhou, 318050, Zhejiang, China.
  • Zhang C; Department of Critical Care Medicine, Taizhou Enze Medical Center (Group) Enze Hospital, Taizhou, 318050, Zhejiang, China.
  • Zhang X; Department of Critical Care Medicine, Taizhou Municipal Hospital, Taizhou, 318000, Zhejiang, China.
  • Wu H; Department of Critical Care Medicine, Taizhou Enze Medical Center (Group) Luqiao Hospital, Taizhou, 318050, Zhejiang, China.
  • Wang J; Department of Critical Care Medicine, Taizhou Enze Medical Center (Group) Enze Hospital, Taizhou, 318050, Zhejiang, China.
  • Wang S; Department of Critical Care Medicine, Taizhou Enze Medical Center (Group) Enze Hospital, Taizhou, 318050, Zhejiang, China.
  • Zheng C; Department of Critical Care Medicine, Taizhou Municipal Hospital, Taizhou, 318000, Zhejiang, China. dr.zhengcheng@foxmail.com.
Infection ; 48(4): 543-551, 2020 Aug.
Article in English | MEDLINE | ID: covidwho-125222
ABSTRACT

OBJECTIVE:

The aim of this study was to investigate the clinical characteristics of Corona Virus Disease 2019 in Taizhou, China.

METHODS:

A single center retrospective observational study was performed between Jan 1, 2020 and Mar 11, 2020 at Taizhou Public Health Medical Center, Zhejiang, China. All patients with confirmed Corona Virus Disease 2019 were enrolled, and their clinical data were gathered by reviewing electronic medical records. Outcomes of severely ill patients and non-severely ill patients were compared.

RESULTS:

Of 145 hospitalized patients with COVID-19, the average age was 47.5 years old (standard deviation, 14.6) and 54.5% were men. Hypertension was the most common comorbidity (15.2%), followed by diabetes mellitus (9.7%). Common symptoms included dry cough (81.4%), fever (75.2%), anorexia (42.8%), fatigue (40.7%), chest tightness (32.4%), diarrhea (26.9%) and dizziness (20%). According to imaging examination, 79.3% patients showed bilateral pneumonia, 18.6% showed unilateral pneumonia, 61.4% showed ground-glass opacity, and 2.1% showed no abnormal result. Compared with non-severely ill patients, severely ill patients were older (mean, years, 52.8 vs. 45.3, p < 0.01), had a higher proportion of diabetes mellitus (16.3% vs. 6.9%, p = 0.08), had a higher body mass index (mean, 24.78 vs. 23.20, p = 0.02) and were more likely to have fever (90.7% vs. 68.6%, p = 0.01), anorexia (60.5% vs. 35.3%, p = 0.01), chest tightness (60.5% vs.20.6%, p < 0.01) and dyspnea (7.0% vs. 0%, p = 0.03). Of the 43 severely ill patients, 6 (14%) received high-flow nasal cannula oxygen therapy, and 1 (2.3%) received invasive mechanical ventilation.

CONCLUSIONS:

Older patients or patients with comorbidities such as obesity or diabetes mellitus were more likely to have severe condition. Treatments of COVID-19 is still experimental and more clinical trials are needed.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Infection Year: 2020 Document Type: Article Affiliation country: S15010-020-01432-5

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Infection Year: 2020 Document Type: Article Affiliation country: S15010-020-01432-5