Adverse Initial CT Findings Associated with Poor Prognosis of Coronavirus Disease

The predictors of poor prognosis in patients with coronavirus disease 2019 (COVID-19) using computed tomography (CT) have not been investigated in a large cohort. Therefore, the purpose of this study was to investigate the adverse initial CT features to predict poor prognosis in COVID-19. From Febru...

Full description

Saved in:
Bibliographic Details
Published inJournal of Korean medical science Vol. 35; no. 34; pp. e316 - 12
Main Authors Chon, YoungJun, Kim, Jin Young, Suh, Young Joo, Lee, Ji Yeon, Park, Jae Seok, Moon, Sung Min, Lee, Mu Sook, Yi, Jaehyuck
Format Journal Article
LanguageEnglish
Published Korea (South) The Korean Academy of Medical Sciences 31.08.2020
대한의학회
Subjects
Online AccessGet full text
ISSN1011-8934
1598-6357
1598-6357
DOI10.3346/jkms.2020.35.e316

Cover

Abstract The predictors of poor prognosis in patients with coronavirus disease 2019 (COVID-19) using computed tomography (CT) have not been investigated in a large cohort. Therefore, the purpose of this study was to investigate the adverse initial CT features to predict poor prognosis in COVID-19. From February to April 2020, 281 COVID-19 patients who underwent CT at the time of admission were included. We divided the patients into the severe and non-severe disease groups. The severe group included patients with severe pneumonia or critical events. Intensive care unit admission or death were the critical events in this study. We compared the clinical and CT findings between the severe and non-severe groups and investigated the prognostic factors and critical events of the severe group using the regression analysis. Among the 281 patients, 36 (12.8%) patients were in the severe group and 245 (87.2%) patients were in the non-severe group. Critical events occurred in 10 patients (3.6%). In the severe group, patients showed significantly more pneumonia with consolidation, crazy-paving appearance, pleural effusion, and higher CT scores than those in the non-severe group (all, < 0.05). In the multivariate regression, pleural effusion (odds ratio [OR], 8.96; 95% confidence interval [CI], 1.81-44.42; = 0.007), CT score > 5 (OR, 3.70; 95% CI, 1.44-9.53; = 0.007), old age (> 77 years, OR, 9.96; 95% CI, 3.78-26.28; < 0.001), and elevated C-reactive protein (OR, 4.15; 95% CI, 1.62-10.6; = 0.003) were significant prognostic factors of severe disease. CT score > 5 (OR, 7.29; 95% CI, 1.37-38.68; = 0.020), pleural effusion (OR, 5.67; 95% CI, 1.04-30.8; = 0.045) and old age (OR, 8.6; 95% CI, 1.80-41.0; = 0.007) were also significant predictors of critical events. Pleural effusion and the extent of pneumonia on initial CT scans are associated with poor prognosis in patients with COVID-19.
AbstractList The predictors of poor prognosis in patients with coronavirus disease 2019 (COVID-19) using computed tomography (CT) have not been investigated in a large cohort. Therefore, the purpose of this study was to investigate the adverse initial CT features to predict poor prognosis in COVID-19. From February to April 2020, 281 COVID-19 patients who underwent CT at the time of admission were included. We divided the patients into the severe and non-severe disease groups. The severe group included patients with severe pneumonia or critical events. Intensive care unit admission or death were the critical events in this study. We compared the clinical and CT findings between the severe and non-severe groups and investigated the prognostic factors and critical events of the severe group using the regression analysis. Among the 281 patients, 36 (12.8%) patients were in the severe group and 245 (87.2%) patients were in the non-severe group. Critical events occurred in 10 patients (3.6%). In the severe group, patients showed significantly more pneumonia with consolidation, crazy-paving appearance, pleural effusion, and higher CT scores than those in the non-severe group (all, < 0.05). In the multivariate regression, pleural effusion (odds ratio [OR], 8.96; 95% confidence interval [CI], 1.81-44.42; = 0.007), CT score > 5 (OR, 3.70; 95% CI, 1.44-9.53; = 0.007), old age (> 77 years, OR, 9.96; 95% CI, 3.78-26.28; < 0.001), and elevated C-reactive protein (OR, 4.15; 95% CI, 1.62-10.6; = 0.003) were significant prognostic factors of severe disease. CT score > 5 (OR, 7.29; 95% CI, 1.37-38.68; = 0.020), pleural effusion (OR, 5.67; 95% CI, 1.04-30.8; = 0.045) and old age (OR, 8.6; 95% CI, 1.80-41.0; = 0.007) were also significant predictors of critical events. Pleural effusion and the extent of pneumonia on initial CT scans are associated with poor prognosis in patients with COVID-19.
The predictors of poor prognosis in patients with coronavirus disease 2019 (COVID-19) using computed tomography (CT) have not been investigated in a large cohort. Therefore, the purpose of this study was to investigate the adverse initial CT features to predict poor prognosis in COVID-19.BACKGROUNDThe predictors of poor prognosis in patients with coronavirus disease 2019 (COVID-19) using computed tomography (CT) have not been investigated in a large cohort. Therefore, the purpose of this study was to investigate the adverse initial CT features to predict poor prognosis in COVID-19.From February to April 2020, 281 COVID-19 patients who underwent CT at the time of admission were included. We divided the patients into the severe and non-severe disease groups. The severe group included patients with severe pneumonia or critical events. Intensive care unit admission or death were the critical events in this study. We compared the clinical and CT findings between the severe and non-severe groups and investigated the prognostic factors and critical events of the severe group using the regression analysis.METHODSFrom February to April 2020, 281 COVID-19 patients who underwent CT at the time of admission were included. We divided the patients into the severe and non-severe disease groups. The severe group included patients with severe pneumonia or critical events. Intensive care unit admission or death were the critical events in this study. We compared the clinical and CT findings between the severe and non-severe groups and investigated the prognostic factors and critical events of the severe group using the regression analysis.Among the 281 patients, 36 (12.8%) patients were in the severe group and 245 (87.2%) patients were in the non-severe group. Critical events occurred in 10 patients (3.6%). In the severe group, patients showed significantly more pneumonia with consolidation, crazy-paving appearance, pleural effusion, and higher CT scores than those in the non-severe group (all, P < 0.05). In the multivariate regression, pleural effusion (odds ratio [OR], 8.96; 95% confidence interval [CI], 1.81-44.42; P = 0.007), CT score > 5 (OR, 3.70; 95% CI, 1.44-9.53; P = 0.007), old age (> 77 years, OR, 9.96; 95% CI, 3.78-26.28; P < 0.001), and elevated C-reactive protein (OR, 4.15; 95% CI, 1.62-10.6; P = 0.003) were significant prognostic factors of severe disease. CT score > 5 (OR, 7.29; 95% CI, 1.37-38.68; P = 0.020), pleural effusion (OR, 5.67; 95% CI, 1.04-30.8; P = 0.045) and old age (OR, 8.6; 95% CI, 1.80-41.0; P = 0.007) were also significant predictors of critical events.RESULTSAmong the 281 patients, 36 (12.8%) patients were in the severe group and 245 (87.2%) patients were in the non-severe group. Critical events occurred in 10 patients (3.6%). In the severe group, patients showed significantly more pneumonia with consolidation, crazy-paving appearance, pleural effusion, and higher CT scores than those in the non-severe group (all, P < 0.05). In the multivariate regression, pleural effusion (odds ratio [OR], 8.96; 95% confidence interval [CI], 1.81-44.42; P = 0.007), CT score > 5 (OR, 3.70; 95% CI, 1.44-9.53; P = 0.007), old age (> 77 years, OR, 9.96; 95% CI, 3.78-26.28; P < 0.001), and elevated C-reactive protein (OR, 4.15; 95% CI, 1.62-10.6; P = 0.003) were significant prognostic factors of severe disease. CT score > 5 (OR, 7.29; 95% CI, 1.37-38.68; P = 0.020), pleural effusion (OR, 5.67; 95% CI, 1.04-30.8; P = 0.045) and old age (OR, 8.6; 95% CI, 1.80-41.0; P = 0.007) were also significant predictors of critical events.Pleural effusion and the extent of pneumonia on initial CT scans are associated with poor prognosis in patients with COVID-19.CONCLUSIONPleural effusion and the extent of pneumonia on initial CT scans are associated with poor prognosis in patients with COVID-19.
Background: The predictors of poor prognosis in patients with coronavirus disease 2019 (COVID-19) using computed tomography (CT) have not been investigated in a large cohort. Therefore, the purpose of this study was to investigate the adverse initial CT features to predict poor prognosis in COVID-19. Methods: From February to April 2020, 281 COVID-19 patients who underwent CT at the time of admission were included. We divided the patients into the severe and non-severe disease groups. The severe group included patients with severe pneumonia or critical events. Intensive care unit admission or death were the critical events in this study. We compared the clinical and CT findings between the severe and non-severe groups and investigated the prognostic factors and critical events of the severe group using the regression analysis. Results: Among the 281 patients, 36 (12.8%) patients were in the severe group and 245 (87.2%) patients were in the non-severe group. Critical events occurred in 10 patients (3.6%). In the severe group, patients showed significantly more pneumonia with consolidation, crazy-paving appearance, pleural effusion, and higher CT scores than those in the non-severe group (all, P < 0.05). In the multivariate regression, pleural effusion (odds ratio [OR], 8.96; 95% confidence interval [CI], 1.81–44.42; P = 0.007), CT score > 5 (OR, 3.70; 95% CI, 1.44– 9.53; P = 0.007), old age (> 77 years, OR, 9.96; 95% CI, 3.78–26.28; P < 0.001), and elevated C-reactive protein (OR, 4.15; 95% CI, 1.62–10.6; P = 0.003) were significant prognostic factors of severe disease. CT score > 5 (OR, 7.29; 95% CI, 1.37–38.68; P = 0.020), pleural effusion (OR, 5.67; 95% CI, 1.04–30.8; P = 0.045) and old age (OR, 8.6; 95% CI, 1.80–41.0; P = 0.007) were also significant predictors of critical events. Conclusion: Pleural effusion and the extent of pneumonia on initial CT scans are associated with poor prognosis in patients with COVID-19. KCI Citation Count: 0
Author Suh, Young Joo
Chon, YoungJun
Park, Jae Seok
Kim, Jin Young
Moon, Sung Min
Lee, Mu Sook
Lee, Ji Yeon
Yi, Jaehyuck
AuthorAffiliation 1 Department of Radiology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine , Daegu , Korea
2 Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine , Seoul , Korea
3 Department of Internal Medicine, Keimyung University Dongsan Hospital, Keimyung University School of Medicine , Daegu , Korea
AuthorAffiliation_xml – name: 3 Department of Internal Medicine, Keimyung University Dongsan Hospital, Keimyung University School of Medicine , Daegu , Korea
– name: 1 Department of Radiology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine , Daegu , Korea
– name: 2 Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine , Seoul , Korea
Author_xml – sequence: 1
  givenname: YoungJun
  orcidid: 0000-0002-7931-0575
  surname: Chon
  fullname: Chon, YoungJun
  organization: Department of Radiology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Korea
– sequence: 2
  givenname: Jin Young
  orcidid: 0000-0001-6714-8358
  surname: Kim
  fullname: Kim, Jin Young
  organization: Department of Radiology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Korea
– sequence: 3
  givenname: Young Joo
  orcidid: 0000-0002-2078-5832
  surname: Suh
  fullname: Suh, Young Joo
  organization: Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
– sequence: 4
  givenname: Ji Yeon
  orcidid: 0000-0002-2788-1392
  surname: Lee
  fullname: Lee, Ji Yeon
  organization: Department of Internal Medicine, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Korea
– sequence: 5
  givenname: Jae Seok
  orcidid: 0000-0002-5751-7209
  surname: Park
  fullname: Park, Jae Seok
  organization: Department of Internal Medicine, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Korea
– sequence: 6
  givenname: Sung Min
  orcidid: 0000-0002-8009-2683
  surname: Moon
  fullname: Moon, Sung Min
  organization: Department of Radiology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Korea
– sequence: 7
  givenname: Mu Sook
  orcidid: 0000-0002-0382-5564
  surname: Lee
  fullname: Lee, Mu Sook
  organization: Department of Radiology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Korea
– sequence: 8
  givenname: Jaehyuck
  orcidid: 0000-0001-5231-3752
  surname: Yi
  fullname: Yi, Jaehyuck
  organization: Department of Radiology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Korea
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32864912$$D View this record in MEDLINE/PubMed
https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002618461$$DAccess content in National Research Foundation of Korea (NRF)
BookMark eNp1kUtvEzEUhS1URF_8ADbIS1hMGL89G6Qo9BGpEgWla8uZuZO6mdjFd5KKf89M0iJAYnVt-Tvn2D6n5CimCIS8Y-VECKk_Paw3OOElH7ZqAoLpV-SEqcoWWihzNKxLxgpbCXlMThEfypIrxcUbciy41bJi_IR8mzY7yAh0HkMffEdnC3oZYhPiCukUMdXB99DQp9Df09uUMr3NaRUTBqSppbOUU_S7kLdIvwQEj3BOXre-Q3j7PM_I3eXFYnZd3Hy9ms-mN0UtheiLZVMxXRmlNddSSgOgpdfDFXmjWw1ieE3LhV0aKW0pvbVtDZpZuWyk5CUYcUY-Hnxjbt26Di75sJ-r5NbZTb8v5q5SyjAmBvbzgX3cLjfQ1BD77Dv3mMPG55975d8nMdwPPjtnpLJWjQYfng1y-rEF7N0mYA1d5yOkLTouha0qZvbo-z-zfoe8_PkAmANQ54SYoXV16H0f0hgdOsdKN7brxnbd2K4Tyo3tDkr2j_LF_P-aX_HuqCs
CitedBy_id crossref_primary_10_5604_01_3001_0016_1336
crossref_primary_10_1007_s10140_021_02008_y
crossref_primary_10_5124_jkma_2021_64_10_655
crossref_primary_10_1002_jum_15683
crossref_primary_10_1007_s11604_021_01118_4
crossref_primary_10_1017_S0950268821000376
crossref_primary_10_1016_j_hrtlng_2022_06_021
crossref_primary_10_3346_jkms_2021_36_e51
crossref_primary_10_1007_s40336_022_00512_w
crossref_primary_10_1016_j_acra_2021_10_001
crossref_primary_10_18632_aging_203655
crossref_primary_10_1002_ird3_23
crossref_primary_10_3346_jkms_2020_35_e413
crossref_primary_10_1097_LBR_0000000000000896
crossref_primary_10_3348_jksr_2021_0117
crossref_primary_10_1186_s12931_021_01625_y
crossref_primary_10_1371_journal_pone_0259010
crossref_primary_10_1002_jum_15818
crossref_primary_10_3346_jkms_2022_37_e78
crossref_primary_10_3390_healthcare11070932
crossref_primary_10_4103_rid_RID_D_24_00008
crossref_primary_10_1016_j_clinimag_2022_11_010
crossref_primary_10_4103_ijrc_ijrc_29_22
Cites_doi 10.1016/S0140-6736(20)30566-3
10.1148/radiol.2020200463
10.1016/j.chest.2020.04.003
10.1148/radiol.2020201433
10.1148/ryct.2020200047
10.1148/radiol.2020200843
10.1148/radiol.2020201343
10.1148/radiol.2020201237
10.2214/ajr.182.5.1821119
10.3348/kjr.2020.0132
10.2214/AJR.20.23035
10.1086/380973
10.15557/PiMR.2020.0003
10.1378/chest.12-1292
10.2214/AJR.20.22969
10.1016/S1473-3099(20)30086-4
10.1016/S0895-4356(96)00236-3
10.2214/AJR.20.22959
10.2214/AJR.15.15363
10.1371/journal.ppat.1004250
10.1136/bmj.m1091
10.1007/s00330-020-06854-1
10.2214/AJR.20.23220
10.1148/ryct.2020200130
10.2214/AJR.15.14445
ContentType Journal Article
Copyright 2020 The Korean Academy of Medical Sciences.
2020 The Korean Academy of Medical Sciences. 2020 The Korean Academy of Medical Sciences
Copyright_xml – notice: 2020 The Korean Academy of Medical Sciences.
– notice: 2020 The Korean Academy of Medical Sciences. 2020 The Korean Academy of Medical Sciences
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
5PM
ACYCR
DOI 10.3346/jkms.2020.35.e316
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
PubMed Central (Full Participant titles)
Korean Citation Index
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList MEDLINE
MEDLINE - Academic

Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1598-6357
EndPage 12
ExternalDocumentID oai_kci_go_kr_ARTI_9557113
PMC7458853
32864912
10_3346_jkms_2020_35_e316
Genre Journal Article
GrantInformation_xml – fundername: Daegu Medical Association COVID-19 scientific committee
– fundername: ;
GroupedDBID ---
29K
2WC
3O-
5-W
53G
5GY
8JR
8XY
9ZL
AAYXX
ADBBV
ADRAZ
AENEX
ALMA_UNASSIGNED_HOLDINGS
AOIJS
BAWUL
CITATION
CS3
D-I
DIK
DU5
E3Z
EBS
EF.
EJD
F5P
FRP
GROUPED_DOAJ
GX1
HYE
KQ8
M48
O5R
O5S
OK1
OVT
PGMZT
RNS
RPM
TR2
W2D
XSB
CGR
CUY
CVF
ECM
EIF
M~E
NPM
7X8
5PM
08R
ACYCR
ID FETCH-LOGICAL-c433t-bd91697566264447ee64a60022d6f6e3316f238b744804a88fce6184bd4420e73
IEDL.DBID M48
ISSN 1011-8934
1598-6357
IngestDate Tue Nov 21 21:42:22 EST 2023
Thu Aug 21 14:13:51 EDT 2025
Thu Jul 10 23:32:31 EDT 2025
Thu Jan 02 22:46:46 EST 2025
Tue Jul 01 01:26:30 EDT 2025
Thu Apr 24 23:09:25 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 34
Keywords COVID-19
Pneumonia
Computed Tomography
Coronavirus
Language English
License 2020 The Korean Academy of Medical Sciences.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c433t-bd91697566264447ee64a60022d6f6e3316f238b744804a88fce6184bd4420e73
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
https://www.jkms.org/search.php?where=aview&id=10.3346/jkms.2020.35.e316&code=0063JKMS&vmode=FULL
ORCID 0000-0001-5231-3752
0000-0002-0382-5564
0000-0002-5751-7209
0000-0002-7931-0575
0000-0002-8009-2683
0000-0002-2078-5832
0000-0001-6714-8358
0000-0002-2788-1392
OpenAccessLink http://journals.scholarsportal.info/openUrl.xqy?doi=10.3346/jkms.2020.35.e316
PMID 32864912
PQID 2438991753
PQPubID 23479
PageCount 12
ParticipantIDs nrf_kci_oai_kci_go_kr_ARTI_9557113
pubmedcentral_primary_oai_pubmedcentral_nih_gov_7458853
proquest_miscellaneous_2438991753
pubmed_primary_32864912
crossref_citationtrail_10_3346_jkms_2020_35_e316
crossref_primary_10_3346_jkms_2020_35_e316
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2020-08-31
PublicationDateYYYYMMDD 2020-08-31
PublicationDate_xml – month: 08
  year: 2020
  text: 2020-08-31
  day: 31
PublicationDecade 2020
PublicationPlace Korea (South)
PublicationPlace_xml – name: Korea (South)
PublicationTitle Journal of Korean medical science
PublicationTitleAlternate J Korean Med Sci
PublicationYear 2020
Publisher The Korean Academy of Medical Sciences
대한의학회
Publisher_xml – name: The Korean Academy of Medical Sciences
– name: 대한의학회
References Cheng (10.3346/jkms.2020.35.e316_ref18) 2020; 215
Guan (10.3346/jkms.2020.35.e316_ref10) 2020; 214
Chen (10.3346/jkms.2020.35.e316_ref3) 2020; 368
Colombi (10.3346/jkms.2020.35.e316_ref25) 2020; 296
Erturk (10.3346/jkms.2020.35.e316_ref7) 2020; 215
Falzarano (10.3346/jkms.2020.35.e316_ref23) 2014; 10
Rubin (10.3346/jkms.2020.35.e316_ref5) 2020; 158
Yang (10.3346/jkms.2020.35.e316_ref14) 2020; 2
Zhou (10.3346/jkms.2020.35.e316_ref4) 2020; 395
Das (10.3346/jkms.2020.35.e316_ref20) 2016; 206
Zou (10.3346/jkms.2020.35.e316_ref24) 2004; 38
Tabatabaei (10.3346/jkms.2020.35.e316_ref8) 2020; 2
Bernheim (10.3346/jkms.2020.35.e316_ref27) 2020; 295
Shi (10.3346/jkms.2020.35.e316_ref17) 2020; 20
Peduzzi (10.3346/jkms.2020.35.e316_ref15) 1996; 49
Yoon (10.3346/jkms.2020.35.e316_ref12) 2020; 21
Das (10.3346/jkms.2020.35.e316_ref19) 2015; 205
Hosseiny (10.3346/jkms.2020.35.e316_ref22) 2020; 214
Moy (10.3346/jkms.2020.35.e316_ref13) 2013; 143
Zhang (10.3346/jkms.2020.35.e316_ref9) 2020; 30
10.3346/jkms.2020.35.e316_ref1
Kim (10.3346/jkms.2020.35.e316_ref6) 2020; 296
Caruso (10.3346/jkms.2020.35.e316_ref16) 2020; 296
Hsieh (10.3346/jkms.2020.35.e316_ref21) 2004; 182
10.3346/jkms.2020.35.e316_ref2
10.3346/jkms.2020.35.e316_ref11
Wang (10.3346/jkms.2020.35.e316_ref26) 2020; 296
References_xml – volume: 395
  start-page: 1054
  issue: 10229
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref4
  publication-title: Lancet
  doi: 10.1016/S0140-6736(20)30566-3
– volume: 295
  start-page: 200463
  issue: 3
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref27
  publication-title: Radiology
  doi: 10.1148/radiol.2020200463
– volume: 158
  start-page: 106
  issue: 1
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref5
  publication-title: Chest
  doi: 10.1016/j.chest.2020.04.003
– volume: 296
  start-page: E86
  issue: 2
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref25
  publication-title: Radiology
  doi: 10.1148/radiol.2020201433
– volume: 2
  start-page: e200047
  issue: 2
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref14
  publication-title: Radiol Cardiothorac Imaging
  doi: 10.1148/ryct.2020200047
– volume: 296
  start-page: E55
  issue: 2
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref26
  publication-title: Radiology
  doi: 10.1148/radiol.2020200843
– ident: 10.3346/jkms.2020.35.e316_ref1
– volume: 296
  start-page: E145
  issue: 3
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref6
  publication-title: Radiology
  doi: 10.1148/radiol.2020201343
– volume: 296
  start-page: E79
  issue: 2
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref16
  publication-title: Radiology
  doi: 10.1148/radiol.2020201237
– volume: 182
  start-page: 1119
  issue: 5
  year: 2004
  ident: 10.3346/jkms.2020.35.e316_ref21
  publication-title: AJR Am J Roentgenol
  doi: 10.2214/ajr.182.5.1821119
– volume: 21
  start-page: 494
  issue: 4
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref12
  publication-title: Korean J Radiol
  doi: 10.3348/kjr.2020.0132
– volume: 214
  start-page: W85
  issue: 5
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref10
  publication-title: AJR Am J Roentgenol
  doi: 10.2214/AJR.20.23035
– volume: 38
  start-page: 483
  issue: 4
  year: 2004
  ident: 10.3346/jkms.2020.35.e316_ref24
  publication-title: Clin Infect Dis
  doi: 10.1086/380973
– ident: 10.3346/jkms.2020.35.e316_ref11
  doi: 10.15557/PiMR.2020.0003
– volume: 143
  start-page: 1054
  issue: 4
  year: 2013
  ident: 10.3346/jkms.2020.35.e316_ref13
  publication-title: Chest
  doi: 10.1378/chest.12-1292
– volume: 214
  start-page: 1078
  issue: 5
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref22
  publication-title: AJR Am J Roentgenol
  doi: 10.2214/AJR.20.22969
– volume: 20
  start-page: 425
  issue: 4
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref17
  publication-title: Lancet Infect Dis
  doi: 10.1016/S1473-3099(20)30086-4
– volume: 49
  start-page: 1373
  issue: 12
  year: 1996
  ident: 10.3346/jkms.2020.35.e316_ref15
  publication-title: J Clin Epidemiol
  doi: 10.1016/S0895-4356(96)00236-3
– volume: 215
  start-page: 121
  issue: 1
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref18
  publication-title: AJR Am J Roentgenol
  doi: 10.2214/AJR.20.22959
– volume: 206
  start-page: 1193
  issue: 6
  year: 2016
  ident: 10.3346/jkms.2020.35.e316_ref20
  publication-title: AJR Am J Roentgenol
  doi: 10.2214/AJR.15.15363
– volume: 10
  start-page: e1004250
  issue: 8
  year: 2014
  ident: 10.3346/jkms.2020.35.e316_ref23
  publication-title: PLoS Pathog
  doi: 10.1371/journal.ppat.1004250
– ident: 10.3346/jkms.2020.35.e316_ref2
– volume: 368
  start-page: m1091
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref3
  publication-title: BMJ
  doi: 10.1136/bmj.m1091
– volume: 30
  start-page: 4417
  issue: 8
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref9
  publication-title: Eur Radiol
  doi: 10.1007/s00330-020-06854-1
– volume: 215
  start-page: W11
  issue: 1
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref7
  publication-title: AJR Am J Roentgenol
  doi: 10.2214/AJR.20.23220
– volume: 2
  start-page: e200130
  issue: 2
  year: 2020
  ident: 10.3346/jkms.2020.35.e316_ref8
  publication-title: Radiol Cardiothorac Imaging
  doi: 10.1148/ryct.2020200130
– volume: 205
  start-page: W267
  issue: 3
  year: 2015
  ident: 10.3346/jkms.2020.35.e316_ref19
  publication-title: AJR Am J Roentgenol
  doi: 10.2214/AJR.15.14445
SSID ssj0025523
Score 2.3800406
Snippet The predictors of poor prognosis in patients with coronavirus disease 2019 (COVID-19) using computed tomography (CT) have not been investigated in a large...
Background: The predictors of poor prognosis in patients with coronavirus disease 2019 (COVID-19) using computed tomography (CT) have not been investigated in...
SourceID nrf
pubmedcentral
proquest
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage e316
SubjectTerms Aged
Aged, 80 and over
Aging
Betacoronavirus
C-Reactive Protein - analysis
Coronavirus Infections - diagnosis
Coronavirus Infections - diagnostic imaging
Coronavirus Infections - mortality
Coronavirus Infections - pathology
COVID-19
Female
Humans
Intensive Care Units
Lung - diagnostic imaging
Lung - pathology
Male
Middle Aged
Original
Pandemics
Pleural Effusion - diagnostic imaging
Pleural Effusion - pathology
Pneumonia, Viral - diagnosis
Pneumonia, Viral - diagnostic imaging
Pneumonia, Viral - mortality
Pneumonia, Viral - pathology
Prognosis
Retrospective Studies
SARS-CoV-2
Severity of Illness Index
Tomography, X-Ray Computed
의학일반
Title Adverse Initial CT Findings Associated with Poor Prognosis of Coronavirus Disease
URI https://www.ncbi.nlm.nih.gov/pubmed/32864912
https://www.proquest.com/docview/2438991753
https://pubmed.ncbi.nlm.nih.gov/PMC7458853
https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002618461
Volume 35
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
ispartofPNX Journal of Korean Medical Science, 2020, 35(34), , pp.1-12
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3ri9NAEF_uThC_iG_jo6ziJyFHNvtKPohItVyVyglXuG9Lkp1o6Jlo0or-984kabFSxE8hZLOPmV3mN4-dYexFZCFJIYMwisskVOCTMNFJFMYFRCYVYH1JdsjFR3O2VO8v9eUR25a3GgnYHVTtqJ7Usr06_fn912s88K9I45TkoVx9pcTbMb7qU5DCHLNrKJgM6WILtXMqIHiOh3h7IUIU02pwch7uYk9MHddteQiB_h1I-Ydkmt1iN0dIyd8Me-A2O4L6Dru-GJ3md9mnvuhyB3xOgULYcnrBZ1V_m6XjW_aA52SS5edN0_LztqH4u6rjTcmnlOMg-1G1m46_Hdw599hy9u5iehaOlRTCQkm5DnOPKDC1CN0I_ygLYFRGHrnYm9KAxAWXKLtzi8papLIkKQugSjC5VyqOwMr77KRuanjIeA6lUD73IkPp7k2USaMpuFP4DMGChoBFW8K5YkwzTtUurhyqG0RrR7R2RGsntSNaB-zl7pdvQ46NfzV-jtxwq6JylBmbnp8bt2od4v-5S7W2QsiAPdsyy-FxIR9IVkOzwa6o2ntK6UkD9mBg3m5MGSdGpSIOmN1j664BDbj_pa6-9Cm5LV341fLR_0zuMbtBCxoM00_YybrdwFNENut8gph-_mHS2wUm_d79DRRY9vs
linkProvider Scholars Portal
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Adverse+Initial+CT+Findings+Associated+with+Poor+Prognosis+of+Coronavirus+Disease&rft.jtitle=Journal+of+Korean+medical+science&rft.au=%EC%A0%84%EC%98%81%EC%A4%80&rft.au=%EA%B9%80%EC%A7%84%EC%98%81&rft.au=%EC%84%9C%EC%98%81%EC%A3%BC&rft.au=%EC%9D%B4%EC%A7%80%EC%97%B0&rft.date=2020-08-31&rft.pub=%EB%8C%80%ED%95%9C%EC%9D%98%ED%95%99%ED%9A%8C&rft.issn=1011-8934&rft.eissn=1598-6357&rft.spage=1&rft.epage=12&rft_id=info:doi/10.3346%2Fjkms.2020.35.e316&rft.externalDBID=n%2Fa&rft.externalDocID=oai_kci_go_kr_ARTI_9557113
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1011-8934&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1011-8934&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1011-8934&client=summon