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About:
Characterization of clinical progression of COVID-19 patients in Shenzhen, China
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An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.inria.fr
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Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Characterization of clinical progression of COVID-19 patients in Shenzhen, China
Creator
Ma, Ting
Liu, Lei
Wang, Zhaoqin
Zhang, Guoliang
Bi, Qifang
Lessler, Justin
Wu, Zhenke
Wang, Tong
Azman, Andrew
Sun, Binbin
Ye, Chenfei
Kucirka, Lauren
Meng, Juan
Chen, Jiancong
Edwards, Jessie
Hong, Chengcheng
Zhou, Pengzheng
Source
MedRxiv
abstract
The COVID-19 pandemic has stressed healthcare care systems throughout the world. Understanding clinical progression of cases is a key public health priority that informs optimal resource allocation during an emergency. Using data from Shenzhen, China, where all cases were monitored in hospital and symptom profiles and clinical and lab results were available starting from early stages of clinical course, we characterized clinical progression of COVID-19 cases and determined important predictors for faster clinical progression to key clinical events and longer use of medical resources. Epidemiological, demographic, laboratory, clinical, and outcome data were extracted from electronic medical records. We found that those who progressed to the severe stage, developed acute respiratory distress syndrome, and were admitted to the intensive care unit (ICU) progressed on average 9.5 days (95%CI 8.7,10.3), 11.0 days (95%CI 9.7,12.3), and 10.5 days (95%CI 8.2,13.3) after symptom onset, respectively. We estimated that patients who were admitted to ICUs remained there for an average of 34.4 days (95%CI 24.1,43.2) and the average time on a ventilator was 28.5 days (95%CI 20.0,39.1) among those requiring mechanical ventilation. The median length of hospital stay was 21.3 days (95%CI, 20.5, 22.2) for the mild or moderate cases who did not progress to the severe stage, but increased to 52.1 days (95%CI, 43.3, 59.5) for those who required ICU admission. Clear characterization of clinical progression informs planning for healthcare resource allocation during COVID-19 outbreaks and provides a basis that helps assess the effectiveness of new treatment and therapeutics.
has issue date
2020-04-27
(
xsd:dateTime
)
bibo:doi
10.1101/2020.04.22.20076190
has license
medrxiv
sha1sum (hex)
e224f8be59275cc31b12654b02f2a57312165282
schema:url
https://doi.org/10.1101/2020.04.22.20076190
resource representing a document's title
Characterization of clinical progression of COVID-19 patients in Shenzhen, China
resource representing a document's body
covid:e224f8be59275cc31b12654b02f2a57312165282#body_text
is
schema:about
of
named entity 'stressed'
named entity 'Understanding'
named entity 'profiles'
named entity 'cases'
named entity 'hospital'
named entity 'CARE'
named entity 'EFFECTIVENESS'
named entity 'AVAILABLE'
named entity 'TREATMENT'
named entity 'USING'
named entity 'MONITORED'
named entity 'IMPORTANT'
named entity 'COVID-19 PANDEMIC'
named entity 'DEMOGRAPHIC'
named entity 'ON AVERAGE'
named entity 'HELPS'
named entity 'INTENSIVE CARE UNIT'
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named entity 'CASES'
named entity 'REQUIRED'
named entity 'CHARACTERIZED'
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covid:arg/e224f8be59275cc31b12654b02f2a57312165282
named entity 'moderate'
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named entity 'outbreaks'
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named entity 'hypertension'
named entity 'acute respiratory distress syndrome'
named entity 'peer review'
named entity 'Hospital discharge'
named entity 'COVID'
named entity 'linear regression'
named entity 'comorbidities'
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