About: A pattern categorization of CT findings to predict outcome of COVID-19 pneumonia

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

About: A pattern categorization of CT findings to predict outcome of COVID-19 pneumonia 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	A pattern categorization of CT findings to predict outcome of COVID-19 pneumonia
Creator	Yang, Jian Wang, Yan Zhou, Jie Liu, Yang Li, Hao Liu, Zhe Cai, Shubo Zhou, Heping Wang, Zekun Li, Fen Med, M Wu, Carol Med, B Jian, Zhijie Jin, Chao Li, Runqing Liang, Ting Liang, Yukun Ren, Zhuanqin Wang, Xibin Zhao, Huifang Li, Zhongyi
source	MedRxiv
abstract	Purpose As global healthcare system is overwhelmed by novel coronavirus disease (COVID-19), early identification of risks of adverse outcomes becomes the key to optimize management and improve survival. This study aimed to provide a CT-based pattern categorization to predict outcome of COVID-19 pneumonia. Methods 165 patients with COVID-19 (91 men, 4-89 years) underwent chest CT were retrospectively enrolled. CT findings were categorized as Pattern0 (negative), Pattern1 (bronchopneumonia), Pattern2 (organizing pneumonia), Pattern3 (progressive organizing pneumonia) and Pattern4 (diffuse alveolar damage). Clinical findings were compared across different categories. Time-dependent progression of CT patterns and correlations with clinical outcomes, i.e. discharge or adverse outcome (admission to ICU, requiring mechanical ventilation, or death), with pulmonary sequelae (complete absorption or residuals) on CT after discharge were analyzed. Results Of 94 patients with outcome, 81(86.2%) were discharged, 3(3.2%) were admitted to ICU, 4(4.3%) required mechanical ventilation, 6(6.4%) died. 31(38.3%) had complete absorption at median day 37 after symptom-onset. Significant differences between pattern-categories were found in age, disease-severity, comorbidity and laboratory results (all P<0.05). Remarkable evolution was observed in Pattern0-2 and Pattern3-4 within 3 and 2 weeks after symptom-onset, respectively; most of patterns remained thereafter. After controlling for age, CT pattern significantly correlated with adverse outcomes (Pattern4 vs. Pattern0-3 [reference]; hazard-ratio[95%CI], 18.90[1.91-186.60], P=0.012). CT pattern (Pattern3-4 vs. Pattern0-2 [reference]; 0.26[0.08-0.88], P=0.030) and C-reactive protein (>10 vs. [≤]10mg/L [reference]; 0.31[0.13-0.72], P=0.006) were risk-factors associated with pulmonary residuals. Conclusion CT pattern categorization allied with clinical characteristics within 2 weeks after symptom-onset would facilitate early prognostic stratification in COVID-19 pneumonia.
has issue date	2020-05-25(xsd:dateTime)
bibo:doi	10.1101/2020.05.19.20107409
has license	medrxiv
sha1sum (hex)	c8f9bbfb7753a226a511eaee4063d0bbd7b4a769
schema:url	https://doi.org/10.1101/2020.05.19.20107409
resource representing a document's title	A pattern categorization of CT findings to predict outcome of COVID-19 pneumonia
resource representing a document's body	covid:c8f9bbfb7753a226a511eaee4063d0bbd7b4a769#body_text
is schema:about of	named entity 'software application' named entity 'Code' named entity 'COVID' named entity 'preprint' named entity 'DAD' named entity 'preprint' named entity 'herbal medications' named entity 'randomly selected' named entity 'GGO' named entity 'GGO' named entity 'mechanical ventilation' named entity 'peer review' named entity 'organizing pneumonia' named entity 'multiple comparisons' named entity 'demographic data' named entity 'oxygen toxicity' named entity 'pneumonia' named entity 'doi' named entity 'preprint' named entity 'preprint' named entity 'multivariate analysis' named entity 'preprint' named entity '95% CI' named entity 'risk factors' named entity 'preprint' named entity 'follow-up' named entity 'sequelae' named entity 'COVID' named entity 'peer review' named entity 'preprint' named entity 'pneumonia' named entity 'healthcare systems' named entity 'adverse outcome' named entity 'epidemiological' named entity 'pneumonic' named entity 'medRxiv' named entity 'National Health Commission' named entity 'sepsis' named entity 'medRxiv' named entity 'preprint' named entity 'GGO' named entity 'chest CT' named entity 'Ankang' named entity 'DAD' named entity 'preprint' named entity 'Belgium' named entity 'follow-up' named entity 'C-reactive protein' named entity 'lung' named entity 'laboratory tests' named entity 'DAD' named entity 'Baoji' named entity 'symptom' named entity 'DAD' named entity 'comorbidity' named entity 'sequelae' named entity 'peer review' named entity 'preprint' named entity 'P<0.01' named entity 'medRxiv' named entity 'GGO' named entity 'Pathologically' named entity 'preprint' named entity 'edema'

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