Evidence map›Paper›PMID 32746805›Full record

ArticleBMC infectious diseases2020

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

Ruili Li, Guangxue Liu, Xiaojie Huang, Cuiyu Jia, Zhenying Xia, Wenyan Song, Xueqin Li, Xing Wang, Hongjun Li

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Ruili LiDepartment of Radiology, Beijing YouAn Hospital, Capital Medical University, No.8 Xi Tou Tiao Youanmen Wai, Fengtai District, Beijing, 100069, China.
Guangxue LiuDepartment of Natural Medicines, School of Pharmaceutical Sciences, Peking University Health Science Center, No. 38 Xueyuan Road, Haidian District, Beijing, 100191, China. guangxl@bjmu.edu.cn.
Xiaojie HuangCenter for Infectious Diseases, Beijing YouAn Hospital, Capital Medical University, No.8 Xi Tou Tiao Youanmen Wai, Fengtai District, Beijing, 100069, China.
Cuiyu JiaDepartment of Radiology, Beijing YouAn Hospital, Capital Medical University, No.8 Xi Tou Tiao Youanmen Wai, Fengtai District, Beijing, 100069, China.
Zhenying XiaDepartment of Radiology, Beijing YouAn Hospital, Capital Medical University, No.8 Xi Tou Tiao Youanmen Wai, Fengtai District, Beijing, 100069, China.
Wenyan SongDepartment of Radiology, Beijing YouAn Hospital, Capital Medical University, No.8 Xi Tou Tiao Youanmen Wai, Fengtai District, Beijing, 100069, China.
Xueqin LiDepartment of Radiology, Beijing YouAn Hospital, Capital Medical University, No.8 Xi Tou Tiao Youanmen Wai, Fengtai District, Beijing, 100069, China.
Xing WangDepartment of Radiology, Beijing YouAn Hospital, Capital Medical University, No.8 Xi Tou Tiao Youanmen Wai, Fengtai District, Beijing, 100069, China.
Hongjun LiDepartment of Radiology, Beijing YouAn Hospital, Capital Medical University, No.8 Xi Tou Tiao Youanmen Wai, Fengtai District, Beijing, 100069, China. lihongjun00113@126.com.
Capital Medical University · CNBeijing YouAn Hospital · CNPeking University · CN

Funding

Beijing Excellent Talent Plan 2018000021469G290Beijing Municipal Health Commission, technology achievements and appropriate technology promotion project 2020-TG-002Capital medical university research and incubation funding PYZ19162National Natural Science Foundation of China 61936013National Natural Science Foundation of China 81771806Peking University Medicine Seed Fund for Interdisciplinary Research BMU2018MX027YouAn Medical Development Project of COVID-19 Emergency Prevention and Control Public BJYAYY-2020YC-03
6 · The paper itself

Abstract

backgroundTo assess the dynamic changes in clinical and CT characteristics of COVID-19 patients with different epidemiology histories.

methodsFifty-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.

resultsFever (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.

conclusionsCT 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.

Indexed as

BetacoronavirusAdultAgedCoronavirus InfectionsCoughCOVID-19C-Reactive ProteinDisease ProgressionFemaleFeverFollow-Up StudiesHumansLymphopeniaMaleMiddle AgedPandemicsC-Reactive ProteinSerum Albumin, HumanSerum GlobulinsClinical characteristicCOVID-19CTDifferent exposure historiesDynamic change

Identifiers

PMID32746805
PMCPMC7397456
OpenAlexW3046633403

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.