About: Dynamic changes in clinical and CT characteristics of COVID-19 cases with different exposure histories: a retrospective study

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About: Dynamic changes in clinical and CT characteristics of COVID-19 cases with different exposure histories: a retrospective study Goto Sponge NotDistinct Permalink

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Dynamic changes in clinical and CT characteristics of COVID-19 cases with different exposure histories: a retrospective study
Creator	Li, Hongjun Wang, Xing Huang, Xiaojie Jia, Cuiyu Li, Ruili Li, Xueqin Xia, Zhenying Liu, Guangxue Song, Wenyan
source	Medline; PMC
abstract	BACKGROUND: To assess the dynamic changes in clinical and CT characteristics of COVID-19 patients with different epidemiology histories. METHODS: Fifty-three discharged COVID-19 patients were enrolled at Beijing YouAn Hospital, Capital Medical University, between January 21 and March 10, 2020. Spearman correlation analysis was performed between CT scores and laboratory indicators. Patients were divided into the Wuhan group (lived in or with travel to Wuhan, numbering 30 cases) and non-Wuhan group (close contacts or unknown exposure, totaling 23 cases). The CT and laboratory findings were compared between and within groups during the clinical process. RESULTS: Fever (88.7%), cough (64.2%), fatigue (34%), and abnormal laboratory indicators, including lymphopenia, reduced albumin, albumin/globulin (A/G), and elevated C-reactive protein (CRP), were mainly observed. Subpleural ground-glass opacities (86.8%) were usually detected at admission. The CT scores were highly correlated with lymphocytes, CRP, albumin, and A/G at initial and follow-ups (all p < 0.05). Four days after admission, most patients (66.7% Wuhan, 47.8% non-Wuhan) showed progression, and the CT scores of Wuhan significantly increased (p = 0.015). Eight days after admission, the vast majority of patients (69.2% Wuhan, 100% non-Wuhan, p = 0.006) presented improvement, and the CT scores of non-Wuhan were significantly lower than Wuhan (p = 0.006). Pneumonia was completely absorbed in most patients 2–4 weeks after discharge. CONCLUSIONS: CT plays a crucial role in the early diagnosis and monitoring of changes in COVID-19. Lymphocytes, CRP, albumin, and A/G are expected to predict disease severity and prognosis. Viral pathogenicity in non-endemic areas may be weaker than core-infected areas. In most patients, lung lesions can disappear around 4 weeks after discharge.
has issue date	2020-08-03(xsd:dateTime)
bibo:doi	10.1186/s12879-020-05306-x
bibo:pmid	32746805
has license	cc-by
sha1sum (hex)	fe96c216c53f07cbf7da3bbb809ce8b12f0f9049
schema:url	https://doi.org/10.1186/s12879-020-05306-x
resource representing a document's title	Dynamic changes in clinical and CT characteristics of COVID-19 cases with different exposure histories: a retrospective study
has PubMed Central identifier	PMC7397456
has PubMed identifier	32746805
schema:publication	BMC Infect Dis
resource representing a document's body	covid:fe96c216c53f07cbf7da3bbb809ce8b12f0f9049#body_text
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