Establishment of a Nationwide Korean Imaging Cohort of Coronavirus Disease 2019

Yoon, Soon Ho; Ham, Soo Youn; Nam, Bo Da; Chae, Kum Ju; Lee, Dabee; Yoo, Jin Young; Bak, So Hyeon; Kim, Jin Young; Kim, Jin Hwan; Kim, Ki Beom; Jung, Jung Im; Lim, Jae‐Kwang; Lee, Jong Eun; Chung, Myung Jin; Lee, Young Kyung; Kim, Young Seon; Jo, Ji Eun; Lee, Sang Min; Kwon, Woocheol; Park, Chang Min; Kim, Yun‐Hyeon; Jeong, Yeon Joo

doi:10.3346/jkms.2020.35.e413

Cited by 14 publications

(10 citation statements)

References 30 publications

(33 reference statements)

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“…This multicenter study was conducted at three centers (one community hospital [center 1, n = 1144] and two academic medical centers [center 2, n = 617; center 3, n = 419]) registered in the Korean Imaging Cohort of COVID-19 (KICC) database (a nationwide open data repository) ( 13 ). The patients were ≥ 18 years-old consecutive patients hospitalized for COVID-19 (as confirmed by real-time reverse transcriptase polymerase chain reaction [RT-PCR] per national guidelines) with available chest radiographs (posteroanterior or anteroposterior view) or CT images.…”

Section: Methodsmentioning

confidence: 99%

SARS-CoV-2 Variants Infection in Relationship to Imaging-based Pneumonia and Clinical Outcomes

Lee¹,

Hwang²,

Kim³

et al. 2023

Radiology

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Background Few reports have evaluated the effect of the SARS-CoV-2 variant and vaccination on the clinical and imaging features of COVID-19. Purpose To evaluate and compare the effect of vaccination and variant prevalence on the clinical and imaging features of infections by the SARS-CoV-2. Materials and Methods Consecutive adults hospitalized for confirmed COVID-19 at three centers (two academic medical centers and one community hospital) and registered in a nationwide open data repository for COVID-19 between August 2021 and March 2022 were retrospectively included. All patients had available chest radiographs or CT. Patients were divided into two groups according to predominant variant type over the study period. Differences between clinical and imaging features were analyzed using Pearson χ 2 test, Fisher exact test, or the independent t-test. Multivariable logistic regression analyses were used to evaluate the effect of variant predominance and vaccination status on imaging features of pneumonia and clinical severity. Results Of the 2180 patients (mean age, 57 years ± 21, 1171 women), 1022 patients (46%) were treated during the Delta variant predominant period and 1158 (54%) during the Omicron period. The Omicron variant prevalence was associated with lower pneumonia severity based on CT scores (OR, 0.71 [95% CI: 0.51, 0.99; P = .04]) and lower clinical severity based on ICU admission or in-hospital death (OR 0.43, 95% CI: 0.24, 0.77, P = .004) than the Delta variant prevalence. Vaccination was associated with the lowest odds of severe pneumonia based on CT scores (OR 0.05, 95% CI:0.03, 0.13, P < .001) and clinical severity based on ICU admission or in-hospital death (OR 0.15, 95% CI: 0.07, 0.31, P < .001) relative to no vaccination. Conclusion The SARS-CoV-2 Omicron variant prevalence and vaccination were associated with better clinical outcomes and lower severe pneumonia risk relative to Delta variant prevalence.

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Section: Methodsmentioning

confidence: 99%

SARS-CoV-2 Variants Infection in Relationship to Imaging-based Pneumonia and Clinical Outcomes

Lee¹,

Hwang²,

Kim³

et al. 2023

Radiology

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“…This study used the open data repository for COVID-19, namely, the Korean Imaging Cohort for COVID-19 (KICC-19), which was constructed by the Korean Society of Thoracic Radiology (KSTR) during July 2020. 8 9 From February through May 2020, 522 adult patients (≥ 18 years old) with real-time reverse transcriptase-polymerase chain reaction (RT-PCR) results and positivity for coronavirus by nasal and oropharyngeal swab testing were enrolled in KICC-19. Other respiratory pathogens capable of causing symptoms were excluded by RT-PCR and sputum culture.…”

Section: Methodsmentioning

confidence: 99%

Prognostic Implications of CT Feature Analysis in Patients with COVID-19: a Nationwide Cohort Study

et al. 2021

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Background Few studies have classified chest computed tomography (CT) findings of coronavirus disease 2019 (COVID-19) and analyzed their correlations with prognosis. The present study aimed to evaluate retrospectively the clinical and chest CT findings of COVID-19 and to analyze CT findings and determine their relationships with clinical severity. Methods Chest CT and clinical features of 271 COVID-19 patients were assessed. The presence of CT findings and distribution of parenchymal abnormalities were evaluated, and CT patterns were classified as bronchopneumonia, organizing pneumonia (OP), or diffuse alveolar damage (DAD). Total extents were assessed using a visual scoring system and artificial intelligence software. Patients were allocated to two groups based on clinical outcomes, that is, to a severe group (requiring O 2 therapy or mechanical ventilation, n = 55) or a mild group (not requiring O 2 therapy or mechanical ventilation, n = 216). Clinical and CT features of these two groups were compared and univariate and multivariate logistic regression analyses were performed to identify independent prognostic factors. Results Age, lymphocyte count, levels of C-reactive protein, and procalcitonin were significantly different in the two groups. Forty-five of the 271 patients had normal chest CT findings. The most common CT findings among the remaining 226 patients were ground-glass opacity (98%), followed by consolidation (53%). CT findings were classified as OP (93%), DAD (4%), or bronchopneumonia (3%) and all nine patients with DAD pattern were included in the severe group. Uivariate and multivariate analyses showed an elevated procalcitonin (odds ratio [OR], 2.521; 95% confidence interval [CI], 1.001–6.303, P = 0.048), and higher visual CT scores (OR, 1.137; 95% CI, 1.042–1.236; P = 0.003) or higher total extent by AI measurement (OR, 1.048; 95% CI, 1.020–1.076; P < 0.001) were significantly associated with a severe clinical course. Conclusion CT findings of COVID-19 pneumonia can be classified into OP, DAD, or bronchopneumonia patterns and all patients with DAD pattern were included in severe group. Elevated inflammatory markers and higher CT scores were found to be significant predictors of poor prognosis in patients with COVID-19 pneumonia.

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“…database, a nation-wide open data repository (8). Patients with asymptomatic or mild symptoms were hospitalized in Center 1, whereas Centers 2 and 3 were main referral centers for COVID-19 patients where some patients with severe symptoms were admitted.…”

Section: N P R E S Smentioning

confidence: 99%

Imaging and Clinical Features of COVID-19 Breakthrough Infections: A Multicenter Study

et al. 2022

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AbbreviationsCOVID-19 (coronavirus disease 2019), CT (computed tomography), CXR (chest radiograph), RT-PCR (reverse transcriptase-polymerase chain reaction), ICU (intensive care unit), WBC (white blood cell), LDH (lactate dehydrogenase), CRP (C-reactive protein) SummaryVaccinated patients with COVID-19 breakthrough infections showed fewer chest CT findings of pneumonia compared to unvaccinated patients. Key Results1. Of 761 hospitalized patients with COVID-19 disease and chest radiographs, 77% (587/761) were in unvaccinated patients while breakthrough infection in fully vaccinated subjects occurred in 6.2% (47/761) patients.2. The initial chest x-ray showed no pneumonia in 75% of fully vaccinated patients with breakthrough infection and 63% of unvaccinated patients (p=.37).3. In 412 patients with chest CT during hospitalization, a CT showed no pneumonia in 59% of fully vaccinated patients with breakthrough infection and 27% of unvaccinated patients (p=.01).

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Establishment of a Nationwide Korean Imaging Cohort of Coronavirus Disease 2019

Cited by 14 publications

References 30 publications

SARS-CoV-2 Variants Infection in Relationship to Imaging-based Pneumonia and Clinical Outcomes

SARS-CoV-2 Variants Infection in Relationship to Imaging-based Pneumonia and Clinical Outcomes

Prognostic Implications of CT Feature Analysis in Patients with COVID-19: a Nationwide Cohort Study

Imaging and Clinical Features of COVID-19 Breakthrough Infections: A Multicenter Study

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