Serveur d'exploration COVID et hydrochloroquine

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Severe COVID-19 Illness: Risk Factors and Its Burden on Critical Care Resources.

Identifieur interne : 000660 ( Main/Corpus ); précédent : 000659; suivant : 000661

Severe COVID-19 Illness: Risk Factors and Its Burden on Critical Care Resources.

Auteurs : Kyongsik Yun ; Jeong Seok Lee ; Eun Young Kim ; Himanshu Chandra ; Baek-Lok Oh ; Jihoon Oh

Source :

RBID : pubmed:33330540

Abstract

In South Korea, the first confirmed case of coronavirus 2019 (COVID-19) was detected on January 20, 2020. After a month, the number of confirmed cases surged, as community transmission occurred. The local hospitals experienced severe shortages in medical resources such as mechanical ventilators and extracorporeal membrane oxygenation (ECMO) equipment. With the medical claims data of 7,590 COVID-19 confirmed patients, this study examined how the demand for major medical resources and medications changed during the outbreak and subsequent stabilization period of COVID-19 in South Korea. We also aimed to investigate how the underlying diseases and demographic factors affect disease severity. Our findings revealed that the risk of being treated with a mechanical ventilator or ECMO (critical condition) was almost twice as high in men, and a previous history of hypertension, diabetes, and psychiatric diseases increased the risk for progressing to critical condition [Odds Ratio (95% CI), 1.60 (1.14-2.24); 1.55 (1.55-2.06); 1.73 (1.25-2.39), respectively]. Although chronic pulmonary disease did not significantly increase the risk for severity of the illness, patients with a Charlson comorbidity index score of ≥5 and those treated in an outbreak area had an increased risk of developing a critical condition [3.82 (3.82-8.15); 1.59 (1.20-2.09), respectively]. Our results may help clinicians predict the demand for medical resources during the spread of COVID-19 infection and identify patients who are likely to develop severe disease.

DOI: 10.3389/fmed.2020.583060
PubMed: 33330540
PubMed Central: PMC7711126

Links to Exploration step

pubmed:33330540

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Severe COVID-19 Illness: Risk Factors and Its Burden on Critical Care Resources.</title>
<author>
<name sortKey="Yun, Kyongsik" sort="Yun, Kyongsik" uniqKey="Yun K" first="Kyongsik" last="Yun">Kyongsik Yun</name>
<affiliation>
<nlm:affiliation>Computation and Neural Systems, California Institute of Technology, Pasadena, CA, United States.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Lee, Jeong Seok" sort="Lee, Jeong Seok" uniqKey="Lee J" first="Jeong Seok" last="Lee">Jeong Seok Lee</name>
<affiliation>
<nlm:affiliation>GENOME INSIGHT Inc., Daejeon, South Korea.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Kim, Eun Young" sort="Kim, Eun Young" uniqKey="Kim E" first="Eun Young" last="Kim">Eun Young Kim</name>
<affiliation>
<nlm:affiliation>Division of Trauma and Surgical Critical Care, Department of Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Chandra, Himanshu" sort="Chandra, Himanshu" uniqKey="Chandra H" first="Himanshu" last="Chandra">Himanshu Chandra</name>
<affiliation>
<nlm:affiliation>Anderson School of Management, University of California, Los Angeles, Los Angeles, CA, United States.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Oh, Baek Lok" sort="Oh, Baek Lok" uniqKey="Oh B" first="Baek-Lok" last="Oh">Baek-Lok Oh</name>
<affiliation>
<nlm:affiliation>Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Oh, Jihoon" sort="Oh, Jihoon" uniqKey="Oh J" first="Jihoon" last="Oh">Jihoon Oh</name>
<affiliation>
<nlm:affiliation>Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.</nlm:affiliation>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PubMed</idno>
<date when="2020">2020</date>
<idno type="RBID">pubmed:33330540</idno>
<idno type="pmid">33330540</idno>
<idno type="doi">10.3389/fmed.2020.583060</idno>
<idno type="pmc">PMC7711126</idno>
<idno type="wicri:Area/Main/Corpus">000660</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000660</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en">Severe COVID-19 Illness: Risk Factors and Its Burden on Critical Care Resources.</title>
<author>
<name sortKey="Yun, Kyongsik" sort="Yun, Kyongsik" uniqKey="Yun K" first="Kyongsik" last="Yun">Kyongsik Yun</name>
<affiliation>
<nlm:affiliation>Computation and Neural Systems, California Institute of Technology, Pasadena, CA, United States.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Lee, Jeong Seok" sort="Lee, Jeong Seok" uniqKey="Lee J" first="Jeong Seok" last="Lee">Jeong Seok Lee</name>
<affiliation>
<nlm:affiliation>GENOME INSIGHT Inc., Daejeon, South Korea.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Kim, Eun Young" sort="Kim, Eun Young" uniqKey="Kim E" first="Eun Young" last="Kim">Eun Young Kim</name>
<affiliation>
<nlm:affiliation>Division of Trauma and Surgical Critical Care, Department of Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Chandra, Himanshu" sort="Chandra, Himanshu" uniqKey="Chandra H" first="Himanshu" last="Chandra">Himanshu Chandra</name>
<affiliation>
<nlm:affiliation>Anderson School of Management, University of California, Los Angeles, Los Angeles, CA, United States.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Oh, Baek Lok" sort="Oh, Baek Lok" uniqKey="Oh B" first="Baek-Lok" last="Oh">Baek-Lok Oh</name>
<affiliation>
<nlm:affiliation>Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Oh, Jihoon" sort="Oh, Jihoon" uniqKey="Oh J" first="Jihoon" last="Oh">Jihoon Oh</name>
<affiliation>
<nlm:affiliation>Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.</nlm:affiliation>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Frontiers in medicine</title>
<idno type="ISSN">2296-858X</idno>
<imprint>
<date when="2020" type="published">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">In South Korea, the first confirmed case of coronavirus 2019 (COVID-19) was detected on January 20, 2020. After a month, the number of confirmed cases surged, as community transmission occurred. The local hospitals experienced severe shortages in medical resources such as mechanical ventilators and extracorporeal membrane oxygenation (ECMO) equipment. With the medical claims data of 7,590 COVID-19 confirmed patients, this study examined how the demand for major medical resources and medications changed during the outbreak and subsequent stabilization period of COVID-19 in South Korea. We also aimed to investigate how the underlying diseases and demographic factors affect disease severity. Our findings revealed that the risk of being treated with a mechanical ventilator or ECMO (critical condition) was almost twice as high in men, and a previous history of hypertension, diabetes, and psychiatric diseases increased the risk for progressing to critical condition [Odds Ratio (95% CI), 1.60 (1.14-2.24); 1.55 (1.55-2.06); 1.73 (1.25-2.39), respectively]. Although chronic pulmonary disease did not significantly increase the risk for severity of the illness, patients with a Charlson comorbidity index score of ≥5 and those treated in an outbreak area had an increased risk of developing a critical condition [3.82 (3.82-8.15); 1.59 (1.20-2.09), respectively]. Our results may help clinicians predict the demand for medical resources during the spread of COVID-19 infection and identify patients who are likely to develop severe disease.</div>
</front>
</TEI>
<pubmed>
<MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM">
<PMID Version="1">33330540</PMID>
<DateRevised>
<Year>2020</Year>
<Month>12</Month>
<Day>18</Day>
</DateRevised>
<Article PubModel="Electronic-eCollection">
<Journal>
<ISSN IssnType="Print">2296-858X</ISSN>
<JournalIssue CitedMedium="Print">
<Volume>7</Volume>
<PubDate>
<Year>2020</Year>
</PubDate>
</JournalIssue>
<Title>Frontiers in medicine</Title>
<ISOAbbreviation>Front Med (Lausanne)</ISOAbbreviation>
</Journal>
<ArticleTitle>Severe COVID-19 Illness: Risk Factors and Its Burden on Critical Care Resources.</ArticleTitle>
<Pagination>
<MedlinePgn>583060</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.3389/fmed.2020.583060</ELocationID>
<Abstract>
<AbstractText>In South Korea, the first confirmed case of coronavirus 2019 (COVID-19) was detected on January 20, 2020. After a month, the number of confirmed cases surged, as community transmission occurred. The local hospitals experienced severe shortages in medical resources such as mechanical ventilators and extracorporeal membrane oxygenation (ECMO) equipment. With the medical claims data of 7,590 COVID-19 confirmed patients, this study examined how the demand for major medical resources and medications changed during the outbreak and subsequent stabilization period of COVID-19 in South Korea. We also aimed to investigate how the underlying diseases and demographic factors affect disease severity. Our findings revealed that the risk of being treated with a mechanical ventilator or ECMO (critical condition) was almost twice as high in men, and a previous history of hypertension, diabetes, and psychiatric diseases increased the risk for progressing to critical condition [Odds Ratio (95% CI), 1.60 (1.14-2.24); 1.55 (1.55-2.06); 1.73 (1.25-2.39), respectively]. Although chronic pulmonary disease did not significantly increase the risk for severity of the illness, patients with a Charlson comorbidity index score of ≥5 and those treated in an outbreak area had an increased risk of developing a critical condition [3.82 (3.82-8.15); 1.59 (1.20-2.09), respectively]. Our results may help clinicians predict the demand for medical resources during the spread of COVID-19 infection and identify patients who are likely to develop severe disease.</AbstractText>
<CopyrightInformation>Copyright © 2020 Yun, Lee, Kim, Chandra, Oh and Oh.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Yun</LastName>
<ForeName>Kyongsik</ForeName>
<Initials>K</Initials>
<AffiliationInfo>
<Affiliation>Computation and Neural Systems, California Institute of Technology, Pasadena, CA, United States.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Lee</LastName>
<ForeName>Jeong Seok</ForeName>
<Initials>JS</Initials>
<AffiliationInfo>
<Affiliation>GENOME INSIGHT Inc., Daejeon, South Korea.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Kim</LastName>
<ForeName>Eun Young</ForeName>
<Initials>EY</Initials>
<AffiliationInfo>
<Affiliation>Division of Trauma and Surgical Critical Care, Department of Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Chandra</LastName>
<ForeName>Himanshu</ForeName>
<Initials>H</Initials>
<AffiliationInfo>
<Affiliation>Anderson School of Management, University of California, Los Angeles, Los Angeles, CA, United States.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Oh</LastName>
<ForeName>Baek-Lok</ForeName>
<Initials>BL</Initials>
<AffiliationInfo>
<Affiliation>Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Oh</LastName>
<ForeName>Jihoon</ForeName>
<Initials>J</Initials>
<AffiliationInfo>
<Affiliation>Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic">
<Year>2020</Year>
<Month>11</Month>
<Day>19</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo>
<Country>Switzerland</Country>
<MedlineTA>Front Med (Lausanne)</MedlineTA>
<NlmUniqueID>101648047</NlmUniqueID>
<ISSNLinking>2296-858X</ISSNLinking>
</MedlineJournalInfo>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="N">COVID-19</Keyword>
<Keyword MajorTopicYN="N">ECMO—extracorporeal membrane oxygenation</Keyword>
<Keyword MajorTopicYN="N">hydroxychloroquine</Keyword>
<Keyword MajorTopicYN="N">severity</Keyword>
<Keyword MajorTopicYN="N">ventilator</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData>
<History>
<PubMedPubDate PubStatus="received">
<Year>2020</Year>
<Month>08</Month>
<Day>18</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted">
<Year>2020</Year>
<Month>10</Month>
<Day>12</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez">
<Year>2020</Year>
<Month>12</Month>
<Day>17</Day>
<Hour>5</Hour>
<Minute>54</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed">
<Year>2020</Year>
<Month>12</Month>
<Day>18</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline">
<Year>2020</Year>
<Month>12</Month>
<Day>18</Day>
<Hour>6</Hour>
<Minute>1</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>epublish</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">33330540</ArticleId>
<ArticleId IdType="doi">10.3389/fmed.2020.583060</ArticleId>
<ArticleId IdType="pmc">PMC7711126</ArticleId>
</ArticleIdList>
<ReferenceList>
<Reference>
<Citation>JAMA. 2020 Apr 7;323(13):1239-1242</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32091533</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>JAMA Intern Med. 2020 Aug 1;180(8):1081-1089</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32396163</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>N Engl J Med. 2020 Jun 18;382(25):e102</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32356626</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Clin Infect Dis. 2020 Jun 16;:</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32548613</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>BMJ. 2020 Sep 9;370:m3339</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32907855</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidChloroV1/Data/Main/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000660 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Corpus/biblio.hfd -nk 000660 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    CovidChloroV1
   |flux=    Main
   |étape=   Corpus
   |type=    RBID
   |clé=     pubmed:33330540
   |texte=   Severe COVID-19 Illness: Risk Factors and Its Burden on Critical Care Resources.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Corpus/RBID.i   -Sk "pubmed:33330540" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Corpus/biblio.hfd   \
       | NlmPubMed2Wicri -a CovidChloroV1 

Wicri

This area was generated with Dilib version V0.6.38.
Data generation: Sat May 22 17:02:32 2021. Site generation: Sat May 22 17:06:52 2021