About: Critical Care for Severe COVID-19: A Population-based Study from a Province with Low Case-fatality Rate in China

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Critical Care for Severe COVID-19: A Population-based Study from a Province with Low Case-fatality Rate in China Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Critical Care for Severe COVID-19: A Population-based Study from a Province with Low Case-fatality Rate in China
Creator	Wang, Jian Wang, Wen Li, Zhen Zhang, Wei Yang, Jin Wang, Bo Wu, Qin Chen, Hong Liu, Huan Yang, Min Liao, Xuelian Kang, Yan Tang, Jin Affiliations, Li, Weimin Shi, ; Liu, ; Xie, ; Chen, ; Gong, Yu Hailong, ; Jia, Chao Jin, ; Jin, Xiaodong Lei, Xianying Lv, Sheng Shang, Juan Shen, ; Tian, Yongming Wang, Maojuan Xiao, Xianhua Yang, ; Yin, Wanhong Zhang, Yuanjun Zhang, Zhongwei Zhen, ; Shuai, Bingxing Song, Xiangrong
source	MedRxiv
abstract	Background Data regarding critical care for patients with severe COVID-19 are limited. We aimed to describe and analyse the clinical course, multi-strategy management, and respiratory support usage for the severe COVID-19 at the provincial level. Methods Using data from Sichuan Provincial Department of Health and the population-based multicentre cohort study, all microbiologically confirmed COVID-19 patients in Sichuan who met the national severe criteria were included from January 16 to March 15, 2020. All patients were followed-up from the day of inclusion, noted as Day one (D1), until discharge, death, or the end of the study. Findings Out of 539 COVID-19 patients, 81 severe cases (15.0%) were identified. The median (IQR) age was 50 (39-65) years, 37% were female, and 53.1% had chronic comorbidities. All severe cases were identified before requiring mechanical ventilation. Among the five predefined criteria for severe illness, low PaO2:FiO2 ratio (<300 mmHg) was the most commonly reported, accounting for 87.7% of the severe diagnosed. By establishing provisional ICUs, all 81 patients were admitted to hospitals capable of providing critical care, among whom 51 (63.0%) were treated in provisional ICUs. On D1, 77 patients (95.1%) were admitted, 76 (93.8%) were administered by respiratory support, including 51 (67.9%) by conventional oxygen therapy (COT). By D28, 53 (65.4%) were discharged, three (3.7%) were deceased, and 25 (30.9%) were still hospitalized. COT, administered to 95.1% of the patients, was the most commonly used respiratory support and met 62.7% of the respiratory support needed, followed by high-flow nasal cannula (19.5%) and non-invasive mechanical ventilation (10%). Interpretation The multi-strategy management for severe COVID-19 patients included early identification and timely critical care, including appropriate respiratory support in particular. Preparation of sufficient conventional oxygen equipment should be prioritized.
has issue date	2020-03-27(xsd:dateTime)
bibo:doi	10.1101/2020.03.22.20041277
has license	medrxiv
sha1sum (hex)	81aeb40ef50e0b1bafe21415c9f55e03cd426a05
schema:url	https://doi.org/10.1101/2020.03.22.20041277
resource representing a document's title	Critical Care for Severe COVID-19: A Population-based Study from a Province with Low Case-fatality Rate in China
resource representing a document's body	covid:81aeb40ef50e0b1bafe21415c9f55e03cd426a05#body_text
is schema:about of	named entity 'ABSTRACT' named entity 'PROVINCE' named entity 'Study' named entity 'Title' named entity 'BACKGROUND' named entity 'TITLE' named entity 'WORDS' named entity 'CASE' named entity 'CHINA' named entity 'CRITICAL CARE' named entity 'LOW' named entity 'RATE' named entity 'POPULATION-BASED STUDY' named entity 'Background' named entity 'Critical Care' named entity 'electronic data capture' named entity 'critical care' named entity 'invasive mechanical ventilation' named entity 'COVID-19' named entity 'medRxiv' named entity 'dyspnoea' named entity 'respiratory support' named entity 'medRxiv' named entity 'COVID-19' named entity 'case-fatality rate' named entity 'Beijing' named entity 'parenteral nutrition' named entity 'case-fatality rate' named entity 'COVID-19' named entity 'ECMO' named entity 'critical care' named entity 'critical care' named entity 'respiratory support' named entity 'Sichuan' named entity 'medRxiv' named entity 'preprint' named entity 'chronic pulmonary disease' named entity 'respiratory support' named entity 'medRxiv' named entity 'COVID-19' named entity 'preprint' named entity 'sample size' named entity 'infectious disease' named entity 'doi' named entity 'ICUs' named entity 'copyright holder' named entity 'preprint' named entity 'copyright holder'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software