Clinical Characteristics and Outcomes of Patients with Severe COVID-19 and Chronic Obstructive Pulmonary Disease (COPD).
Identifieur interne : 000350 ( Main/Corpus ); précédent : 000349; suivant : 000351Clinical Characteristics and Outcomes of Patients with Severe COVID-19 and Chronic Obstructive Pulmonary Disease (COPD).
Auteurs : Yuanzhou He ; Min Xie ; Jianping Zhao ; Xiansheng LiuSource :
- Medical science monitor : international medical journal of experimental and clinical research [ 1643-3750 ] ; 2020.
English descriptors
- KwdEn :
- Age Distribution (MeSH), Aged (MeSH), Betacoronavirus (MeSH), Biomarkers (MeSH), Cardiovascular Diseases (epidemiology), China (epidemiology), Comorbidity (MeSH), Coronavirus Infections (blood), Coronavirus Infections (epidemiology), Coronavirus Infections (therapy), Critical Care (MeSH), Diabetes Mellitus (epidemiology), Fatigue (etiology), Female (MeSH), Humans (MeSH), Length of Stay (statistics & numerical data), Male (MeSH), Middle Aged (MeSH), Neoplasms (epidemiology), Pandemics (MeSH), Pneumonia, Viral (blood), Pneumonia, Viral (epidemiology), Pneumonia, Viral (therapy), Pulmonary Disease, Chronic Obstructive (blood), Pulmonary Disease, Chronic Obstructive (epidemiology), Pulmonary Disease, Chronic Obstructive (therapy), Renal Insufficiency, Chronic (epidemiology), Respiration, Artificial (MeSH), Sex Distribution (MeSH), Survivors (MeSH), Treatment Outcome (MeSH).
- MESH :
- chemical : Biomarkers.
- geographic , epidemiology : China.
- blood : Coronavirus Infections, Pneumonia, Viral, Pulmonary Disease, Chronic Obstructive.
- epidemiology : Cardiovascular Diseases, Coronavirus Infections, Diabetes Mellitus, Neoplasms, Pneumonia, Viral, Pulmonary Disease, Chronic Obstructive, Renal Insufficiency, Chronic.
- etiology : Fatigue.
- statistics & numerical data : Length of Stay.
- therapy : Coronavirus Infections, Pneumonia, Viral, Pulmonary Disease, Chronic Obstructive.
- Age Distribution, Aged, Betacoronavirus, Comorbidity, Critical Care, Female, Humans, Male, Middle Aged, Pandemics, Respiration, Artificial, Sex Distribution, Survivors, Treatment Outcome.
Abstract
BACKGROUND The rapid worldwide spread of the coronavirus disease 2019 (COVID-19) epidemic has placed patients with pre-existing conditions at risk of severe morbidity and mortality. The present study investigated the clinical characteristics and outcomes of patients with severe COVID-19 and chronic obstructive pulmonary disease (COPD). MATERIAL AND METHODS This study enrolled 336 consecutive patients with confirmed severe COVID-19, including 28 diagnosed with COPD, from January 20, 2020, to April 1, 2020. Demographic data, symptoms, laboratory values, comorbidities, and clinical results were measured and compared in survivors and non-survivors. RESULTS Patients with severe COVID-19 and COPD were older than those without COPD. The proportions of men, of patients admitted to the intensive care unit (ICU) and of those requiring invasive ventilation were significantly higher in patients with than without COPD. Leukocyte and neutrophil counts, as well as the concentrations of NT-proBNP, hemoglobin, D-dimer, hsCRP, ferritin, IL-2R, TNF-alpha and procalcitonin were higher, whereas lymphocyte and monocyte counts were lower, in patients with than without COPD. Of the 28 patients with COPD, 22 (78.6%) died, a rate significantly higher than in patients without COPD (36.0%). A comparison of surviving and non-surviving patients with severe COVID-19 and COPD showed that those who died had a longer history of COPD, more fatigue, and a higher ICU occupancy rate, but a shorter average hospital stay, than those who survived. CONCLUSIONS COPD increases the risks of death and negative outcomes in patients with severe COVID-19.
DOI: 10.12659/MSM.927212
PubMed: 32883943
PubMed Central: PMC7491229
Links to Exploration step
pubmed:32883943Le document en format XML
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University of Science and Technology, Wuhan, Hubei, China (mainland).</nlm:affiliation></affiliation></author><author><name sortKey="Zhao, Jianping" sort="Zhao, Jianping" uniqKey="Zhao J" first="Jianping" last="Zhao">Jianping Zhao</name><affiliation><nlm:affiliation>Department of Respiratory Diseases, Tongji Hospital, Key Lab of Pulmonary Diseases of Health Ministry, Key Site of National Clinical Research Center for Respiratory Disease, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).</nlm:affiliation></affiliation></author><author><name sortKey="Liu, Xiansheng" sort="Liu, Xiansheng" uniqKey="Liu X" first="Xiansheng" last="Liu">Xiansheng Liu</name><affiliation><nlm:affiliation>Department of Respiratory Diseases, Tongji Hospital, Key Lab of Pulmonary Diseases of Health Ministry, Key Site of National Clinical Research Center for Respiratory Disease, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 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College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).</nlm:affiliation></affiliation></author><author><name sortKey="Xie, Min" sort="Xie, Min" uniqKey="Xie M" first="Min" last="Xie">Min Xie</name><affiliation><nlm:affiliation>Department of Respiratory Diseases, Tongji Hospital, Key Lab of Pulmonary Diseases of Health Ministry, Key Site of National Clinical Research Center for Respiratory Disease, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).</nlm:affiliation></affiliation></author><author><name sortKey="Zhao, Jianping" sort="Zhao, Jianping" uniqKey="Zhao J" first="Jianping" last="Zhao">Jianping Zhao</name><affiliation><nlm:affiliation>Department of Respiratory Diseases, Tongji Hospital, Key Lab of Pulmonary Diseases of Health Ministry, Key Site of National Clinical Research Center for Respiratory Disease, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).</nlm:affiliation></affiliation></author><author><name sortKey="Liu, Xiansheng" sort="Liu, Xiansheng" uniqKey="Liu X" first="Xiansheng" last="Liu">Xiansheng Liu</name><affiliation><nlm:affiliation>Department of Respiratory Diseases, Tongji Hospital, Key Lab of Pulmonary Diseases of Health Ministry, Key Site of National Clinical Research Center for Respiratory Disease, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).</nlm:affiliation></affiliation></author></analytic><series><title level="j">Medical science monitor : international medical journal of experimental and clinical research</title><idno type="eISSN">1643-3750</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Age Distribution (MeSH)</term><term>Aged (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>Biomarkers (MeSH)</term><term>Cardiovascular Diseases (epidemiology)</term><term>China (epidemiology)</term><term>Comorbidity (MeSH)</term><term>Coronavirus Infections (blood)</term><term>Coronavirus Infections (epidemiology)</term><term>Coronavirus Infections (therapy)</term><term>Critical Care (MeSH)</term><term>Diabetes Mellitus (epidemiology)</term><term>Fatigue (etiology)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Length of Stay (statistics & numerical data)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Neoplasms (epidemiology)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (blood)</term><term>Pneumonia, Viral (epidemiology)</term><term>Pneumonia, Viral (therapy)</term><term>Pulmonary Disease, Chronic Obstructive (blood)</term><term>Pulmonary Disease, Chronic Obstructive (epidemiology)</term><term>Pulmonary Disease, Chronic Obstructive (therapy)</term><term>Renal Insufficiency, Chronic (epidemiology)</term><term>Respiration, Artificial (MeSH)</term><term>Sex Distribution (MeSH)</term><term>Survivors (MeSH)</term><term>Treatment Outcome (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Biomarkers</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>China</term></keywords><keywords scheme="MESH" qualifier="blood" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term><term>Pulmonary Disease, Chronic Obstructive</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Cardiovascular Diseases</term><term>Coronavirus Infections</term><term>Diabetes Mellitus</term><term>Neoplasms</term><term>Pneumonia, Viral</term><term>Pulmonary Disease, Chronic Obstructive</term><term>Renal Insufficiency, Chronic</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Fatigue</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Length of Stay</term></keywords><keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term><term>Pulmonary Disease, Chronic Obstructive</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Age Distribution</term><term>Aged</term><term>Betacoronavirus</term><term>Comorbidity</term><term>Critical Care</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Respiration, Artificial</term><term>Sex Distribution</term><term>Survivors</term><term>Treatment Outcome</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">BACKGROUND The rapid worldwide spread of the coronavirus disease 2019 (COVID-19) epidemic has placed patients with pre-existing conditions at risk of severe morbidity and mortality. The present study investigated the clinical characteristics and outcomes of patients with severe COVID-19 and chronic obstructive pulmonary disease (COPD). MATERIAL AND METHODS This study enrolled 336 consecutive patients with confirmed severe COVID-19, including 28 diagnosed with COPD, from January 20, 2020, to April 1, 2020. Demographic data, symptoms, laboratory values, comorbidities, and clinical results were measured and compared in survivors and non-survivors. RESULTS Patients with severe COVID-19 and COPD were older than those without COPD. The proportions of men, of patients admitted to the intensive care unit (ICU) and of those requiring invasive ventilation were significantly higher in patients with than without COPD. Leukocyte and neutrophil counts, as well as the concentrations of NT-proBNP, hemoglobin, D-dimer, hsCRP, ferritin, IL-2R, TNF-alpha and procalcitonin were higher, whereas lymphocyte and monocyte counts were lower, in patients with than without COPD. Of the 28 patients with COPD, 22 (78.6%) died, a rate significantly higher than in patients without COPD (36.0%). A comparison of surviving and non-surviving patients with severe COVID-19 and COPD showed that those who died had a longer history of COPD, more fatigue, and a higher ICU occupancy rate, but a shorter average hospital stay, than those who survived. CONCLUSIONS COPD increases the risks of death and negative outcomes in patients with severe COVID-19.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32883943</PMID><DateCompleted><Year>2020</Year><Month>10</Month><Day>02</Day></DateCompleted><DateRevised><Year>2020</Year><Month>10</Month><Day>02</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1643-3750</ISSN><JournalIssue CitedMedium="Internet"><Volume>26</Volume><PubDate><Year>2020</Year><Month>Sep</Month><Day>04</Day></PubDate></JournalIssue><Title>Medical science monitor : international medical journal of experimental and clinical research</Title><ISOAbbreviation>Med Sci Monit</ISOAbbreviation></Journal><ArticleTitle>Clinical Characteristics and Outcomes of Patients with Severe COVID-19 and Chronic Obstructive Pulmonary Disease (COPD).</ArticleTitle><Pagination><MedlinePgn>e927212</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.12659/MSM.927212</ELocationID><Abstract><AbstractText>BACKGROUND The rapid worldwide spread of the coronavirus disease 2019 (COVID-19) epidemic has placed patients with pre-existing conditions at risk of severe morbidity and mortality. The present study investigated the clinical characteristics and outcomes of patients with severe COVID-19 and chronic obstructive pulmonary disease (COPD). MATERIAL AND METHODS This study enrolled 336 consecutive patients with confirmed severe COVID-19, including 28 diagnosed with COPD, from January 20, 2020, to April 1, 2020. Demographic data, symptoms, laboratory values, comorbidities, and clinical results were measured and compared in survivors and non-survivors. RESULTS Patients with severe COVID-19 and COPD were older than those without COPD. The proportions of men, of patients admitted to the intensive care unit (ICU) and of those requiring invasive ventilation were significantly higher in patients with than without COPD. Leukocyte and neutrophil counts, as well as the concentrations of NT-proBNP, hemoglobin, D-dimer, hsCRP, ferritin, IL-2R, TNF-alpha and procalcitonin were higher, whereas lymphocyte and monocyte counts were lower, in patients with than without COPD. Of the 28 patients with COPD, 22 (78.6%) died, a rate significantly higher than in patients without COPD (36.0%). A comparison of surviving and non-surviving patients with severe COVID-19 and COPD showed that those who died had a longer history of COPD, more fatigue, and a higher ICU occupancy rate, but a shorter average hospital stay, than those who survived. CONCLUSIONS COPD increases the risks of death and negative outcomes in patients with severe COVID-19.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>He</LastName><ForeName>Yuanzhou</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Department of Respiratory Diseases, Tongji Hospital, Key Lab of Pulmonary Diseases of Health Ministry, Key Site of National Clinical Research Center for Respiratory Disease, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xie</LastName><ForeName>Min</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Respiratory Diseases, Tongji Hospital, Key Lab of Pulmonary Diseases of Health Ministry, Key Site of National Clinical Research Center for Respiratory Disease, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhao</LastName><ForeName>Jianping</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Respiratory Diseases, Tongji Hospital, Key Lab of Pulmonary Diseases of Health Ministry, Key Site of National Clinical Research Center for Respiratory Disease, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Liu</LastName><ForeName>Xiansheng</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>Department of Respiratory Diseases, Tongji Hospital, Key Lab of Pulmonary Diseases of Health Ministry, Key Site of National Clinical Research Center for Respiratory Disease, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>09</Month><Day>04</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Med Sci Monit</MedlineTA><NlmUniqueID>9609063</NlmUniqueID><ISSNLinking>1234-1010</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D015415">Biomarkers</NameOfSubstance></Chemical></ChemicalList><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName><SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D017677" MajorTopicYN="N">Age 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