Coronavirus disease 2019 attack rate in HIV-infected patients and in preexposure prophylaxis users.
Identifieur interne : 001231 ( Main/Exploration ); précédent : 001230; suivant : 001232Coronavirus disease 2019 attack rate in HIV-infected patients and in preexposure prophylaxis users.
Auteurs : Caroline Charre ; Vinca Icard ; Pierre Pradat ; Corinne Brochier ; Bruno Lina ; Christian Chidiac [France] ; Laurent Cotte [France]Source :
- AIDS (London, England) [ 1473-5571 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Analyse multifactorielle (MeSH), Bases de données factuelles (MeSH), Betacoronavirus (MeSH), Facteurs de risque (MeSH), Femelle (MeSH), France (épidémiologie), Humains (MeSH), Incidence (MeSH), Infections à VIH (complications), Infections à VIH (prévention et contrôle), Infections à coronavirus (diagnostic), Infections à coronavirus (épidémiologie), Modèles logistiques (MeSH), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (épidémiologie), Prophylaxie pré-exposition (MeSH), Sujet âgé (MeSH), Techniques de laboratoire clinique (MeSH), Études rétrospectives (MeSH).
- MESH :
- diagnostic : Infections à coronavirus.
- prévention et contrôle : Infections à VIH.
- épidémiologie : France, Infections à VIH, Infections à coronavirus, Pneumopathie virale.
- Adulte, Adulte d'âge moyen, Analyse multifactorielle, Bases de données factuelles, Betacoronavirus, Facteurs de risque, Femelle, Humains, Incidence, Modèles logistiques, Mâle, Pandémies, Prophylaxie pré-exposition, Sujet âgé, Techniques de laboratoire clinique, Études rétrospectives.
- Wicri :
- geographic : France.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Betacoronavirus (MeSH), Clinical Laboratory Techniques (MeSH), Coronavirus Infections (diagnosis), Coronavirus Infections (epidemiology), Databases, Factual (MeSH), Female (MeSH), France (epidemiology), HIV Infections (complications), HIV Infections (prevention & control), Humans (MeSH), Incidence (MeSH), Logistic Models (MeSH), Male (MeSH), Middle Aged (MeSH), Multivariate Analysis (MeSH), Pandemics (MeSH), Pneumonia, Viral (epidemiology), Pre-Exposure Prophylaxis (MeSH), Retrospective Studies (MeSH), Risk Factors (MeSH).
- MESH :
- geographic , epidemiology : France.
- complications : HIV Infections.
- diagnosis : Coronavirus Infections.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- prevention & control : HIV Infections.
- Adult, Aged, Betacoronavirus, Clinical Laboratory Techniques, Databases, Factual, Female, Humans, Incidence, Logistic Models, Male, Middle Aged, Multivariate Analysis, Pandemics, Pre-Exposure Prophylaxis, Retrospective Studies, Risk Factors.
Abstract
OBJECTIVE
A new coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) emerged in China during late 2019 and resulted in the coronavirus disease 2019 (COVID-19) pandemic which peaked in France in March-April 2020. Immunodeficiency, precariousness and promiscuity could increase the risk of COVID-19 in HIV-infected patients and in preexposure prophylaxis (PrEP) users. No epidemiological data are available in these two populations. We report COVID-19 attack rate in HIV-infected patients and in PrEP users in the Rhône department, France, and compared it with the general population.
DESIGN
Retrospective analysis of a laboratory database.
METHODS
COVID-19 testing strategy in France was centered on symptomatic infections, hospitalized patients and symptomatic healthcare workers while most asymptomatic cases were not confirmed. SARS-CoV-2 positivity rate on PCR assays and COVID-19 attack rate were determined in HIV-infected patients and in PrEP users. COVID-19 attack rate in the general population was estimated from health authorities' database and demographic data. A corrected attack rate taking into account the laboratory representativeness was calculated.
RESULTS
From March to April 2020, 24 860 samples from 19 113 patients (HIV-infected 77, PrEP users 27, others 19 009) were assessed for SARS-CoV-2 PCR assay. The positivity rate appeared similar in HIV-infected patients (15.6%), in PrEP users (14.8%) and in other patients (19.1%). The crude/corrected COVID-19 attack rate appeared similar in HIV-infected patients (0.31/0.38%) and in PrEP users (0.38/0.42%), and of the same order as the estimated attack rate in the general population (0.24%).
CONCLUSION
The risk of symptomatic COVID-19 in France appeared similar in HIV-infected patients and in PrEP users compared with the general population.
DOI: 10.1097/QAD.0000000000002639
PubMed: 32889852
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Cancérologie).</nlm:affiliation><wicri:noCountry code="no comma">INSERM U1052-CRCL (Centre de Recherche en Cancérologie).</wicri:noCountry></affiliation></author><author><name sortKey="Icard, Vinca" sort="Icard, Vinca" uniqKey="Icard V" first="Vinca" last="Icard">Vinca Icard</name><affiliation><nlm:affiliation>Laboratoire de Virologie, Institut de Agents Infectieux, Centre National de Référence des Virus des Infections Respiratoires, Hôpital de la Croix-Rousse, Hospices Civils de Lyon.</nlm:affiliation><wicri:noCountry code="subField">Hospices Civils de Lyon</wicri:noCountry></affiliation></author><author><name sortKey="Pradat, Pierre" sort="Pradat, Pierre" uniqKey="Pradat P" first="Pierre" last="Pradat">Pierre Pradat</name><affiliation><nlm:affiliation>Centre de Recherche Clinique (CRC), Hospices Civils de Lyon.</nlm:affiliation><wicri:noCountry code="subField">Hospices Civils de Lyon</wicri:noCountry></affiliation></author><author><name sortKey="Brochier, Corinne" sort="Brochier, Corinne" uniqKey="Brochier C" first="Corinne" last="Brochier">Corinne Brochier</name><affiliation><nlm:affiliation>Centre de Recherche Clinique (CRC), Hospices Civils de Lyon.</nlm:affiliation><wicri:noCountry code="subField">Hospices Civils de Lyon</wicri:noCountry></affiliation></author><author><name sortKey="Lina, Bruno" sort="Lina, Bruno" uniqKey="Lina B" first="Bruno" last="Lina">Bruno Lina</name><affiliation><nlm:affiliation>Laboratoire de Virologie, Institut de Agents Infectieux, Centre National de Référence des Virus des Infections Respiratoires, Hôpital de la Croix-Rousse, Hospices Civils de Lyon.</nlm:affiliation><wicri:noCountry code="subField">Hospices Civils de Lyon</wicri:noCountry></affiliation><affiliation><nlm:affiliation>Université[Combining Acute Accent] Claude Bernard.</nlm:affiliation><wicri:noCountry code="no comma">Université[Combining Acute Accent] Claude Bernard.</wicri:noCountry></affiliation></author><author><name sortKey="Chidiac, Christian" sort="Chidiac, Christian" uniqKey="Chidiac C" first="Christian" last="Chidiac">Christian Chidiac</name><affiliation><nlm:affiliation>Université[Combining Acute Accent] Claude Bernard.</nlm:affiliation><wicri:noCountry code="no comma">Université[Combining Acute Accent] Claude Bernard.</wicri:noCountry></affiliation><affiliation wicri:level="3"><nlm:affiliation>Service des Maladies Infectieuses et Tropicales, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Service des Maladies Infectieuses et Tropicales, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon</wicri:regionArea><placeName><region type="region">Auvergne-Rhône-Alpes</region><region type="old region">Rhône-Alpes</region><settlement type="city">Lyon</settlement></placeName></affiliation></author><author><name sortKey="Cotte, Laurent" sort="Cotte, Laurent" uniqKey="Cotte L" first="Laurent" last="Cotte">Laurent Cotte</name><affiliation wicri:level="3"><nlm:affiliation>Service des Maladies Infectieuses et Tropicales, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Service des Maladies Infectieuses et Tropicales, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon</wicri:regionArea><placeName><region type="region">Auvergne-Rhône-Alpes</region><region type="old region">Rhône-Alpes</region><settlement type="city">Lyon</settlement></placeName></affiliation></author></analytic><series><title level="j">AIDS (London, England)</title><idno type="eISSN">1473-5571</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>Clinical Laboratory Techniques (MeSH)</term><term>Coronavirus Infections (diagnosis)</term><term>Coronavirus Infections (epidemiology)</term><term>Databases, Factual (MeSH)</term><term>Female (MeSH)</term><term>France (epidemiology)</term><term>HIV Infections (complications)</term><term>HIV Infections (prevention & control)</term><term>Humans (MeSH)</term><term>Incidence (MeSH)</term><term>Logistic Models (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Multivariate Analysis (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (epidemiology)</term><term>Pre-Exposure Prophylaxis (MeSH)</term><term>Retrospective Studies (MeSH)</term><term>Risk Factors (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Analyse multifactorielle (MeSH)</term><term>Bases de données factuelles (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>Facteurs de risque (MeSH)</term><term>Femelle (MeSH)</term><term>France (épidémiologie)</term><term>Humains (MeSH)</term><term>Incidence (MeSH)</term><term>Infections à VIH (complications)</term><term>Infections à VIH (prévention et contrôle)</term><term>Infections à coronavirus (diagnostic)</term><term>Infections à coronavirus (épidémiologie)</term><term>Modèles logistiques (MeSH)</term><term>Mâle (MeSH)</term><term>Pandémies (MeSH)</term><term>Pneumopathie virale (épidémiologie)</term><term>Prophylaxie pré-exposition (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Techniques de laboratoire clinique (MeSH)</term><term>Études rétrospectives (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>France</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>HIV Infections</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronavirus Infections</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Infections à coronavirus</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>HIV Infections</term></keywords><keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr"><term>Infections à VIH</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>France</term><term>Infections à VIH</term><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Betacoronavirus</term><term>Clinical Laboratory Techniques</term><term>Databases, Factual</term><term>Female</term><term>Humans</term><term>Incidence</term><term>Logistic Models</term><term>Male</term><term>Middle Aged</term><term>Multivariate Analysis</term><term>Pandemics</term><term>Pre-Exposure Prophylaxis</term><term>Retrospective Studies</term><term>Risk Factors</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Analyse multifactorielle</term><term>Bases de données factuelles</term><term>Betacoronavirus</term><term>Facteurs de risque</term><term>Femelle</term><term>Humains</term><term>Incidence</term><term>Modèles logistiques</term><term>Mâle</term><term>Pandémies</term><term>Prophylaxie pré-exposition</term><term>Sujet âgé</term><term>Techniques de laboratoire clinique</term><term>Études rétrospectives</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>France</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b></p><p>A new coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) emerged in China during late 2019 and resulted in the coronavirus disease 2019 (COVID-19) pandemic which peaked in France in March-April 2020. Immunodeficiency, precariousness and promiscuity could increase the risk of COVID-19 in HIV-infected patients and in preexposure prophylaxis (PrEP) users. No epidemiological data are available in these two populations. We report COVID-19 attack rate in HIV-infected patients and in PrEP users in the Rhône department, France, and compared it with the general population.</p></div><div type="abstract" xml:lang="en"><p><b>DESIGN</b></p><p>Retrospective analysis of a laboratory database.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>COVID-19 testing strategy in France was centered on symptomatic infections, hospitalized patients and symptomatic healthcare workers while most asymptomatic cases were not confirmed. SARS-CoV-2 positivity rate on PCR assays and COVID-19 attack rate were determined in HIV-infected patients and in PrEP users. COVID-19 attack rate in the general population was estimated from health authorities' database and demographic data. A corrected attack rate taking into account the laboratory representativeness was calculated.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>From March to April 2020, 24 860 samples from 19 113 patients (HIV-infected 77, PrEP users 27, others 19 009) were assessed for SARS-CoV-2 PCR assay. The positivity rate appeared similar in HIV-infected patients (15.6%), in PrEP users (14.8%) and in other patients (19.1%). The crude/corrected COVID-19 attack rate appeared similar in HIV-infected patients (0.31/0.38%) and in PrEP users (0.38/0.42%), and of the same order as the estimated attack rate in the general population (0.24%).</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>The risk of symptomatic COVID-19 in France appeared similar in HIV-infected patients and in PrEP users compared with the general population.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32889852</PMID><DateCompleted><Year>2020</Year><Month>09</Month><Day>16</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>16</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1473-5571</ISSN><JournalIssue CitedMedium="Internet"><Volume>34</Volume><Issue>12</Issue><PubDate><Year>2020</Year><Month>10</Month><Day>01</Day></PubDate></JournalIssue><Title>AIDS (London, England)</Title><ISOAbbreviation>AIDS</ISOAbbreviation></Journal><ArticleTitle>Coronavirus disease 2019 attack rate in HIV-infected patients and in preexposure prophylaxis users.</ArticleTitle><Pagination><MedlinePgn>1765-1770</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1097/QAD.0000000000002639</ELocationID><Abstract><AbstractText Label="OBJECTIVE">A new coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) emerged in China during late 2019 and resulted in the coronavirus disease 2019 (COVID-19) pandemic which peaked in France in March-April 2020. Immunodeficiency, precariousness and promiscuity could increase the risk of COVID-19 in HIV-infected patients and in preexposure prophylaxis (PrEP) users. No epidemiological data are available in these two populations. We report COVID-19 attack rate in HIV-infected patients and in PrEP users in the Rhône department, France, and compared it with the general population.</AbstractText><AbstractText Label="DESIGN">Retrospective analysis of a laboratory database.</AbstractText><AbstractText Label="METHODS">COVID-19 testing strategy in France was centered on symptomatic infections, hospitalized patients and symptomatic healthcare workers while most asymptomatic cases were not confirmed. SARS-CoV-2 positivity rate on PCR assays and COVID-19 attack rate were determined in HIV-infected patients and in PrEP users. COVID-19 attack rate in the general population was estimated from health authorities' database and demographic data. A corrected attack rate taking into account the laboratory representativeness was calculated.</AbstractText><AbstractText Label="RESULTS">From March to April 2020, 24 860 samples from 19 113 patients (HIV-infected 77, PrEP users 27, others 19 009) were assessed for SARS-CoV-2 PCR assay. The positivity rate appeared similar in HIV-infected patients (15.6%), in PrEP users (14.8%) and in other patients (19.1%). The crude/corrected COVID-19 attack rate appeared similar in HIV-infected patients (0.31/0.38%) and in PrEP users (0.38/0.42%), and of the same order as the estimated attack rate in the general population (0.24%).</AbstractText><AbstractText Label="CONCLUSION">The risk of symptomatic COVID-19 in France appeared similar in HIV-infected patients and in PrEP users compared with the general population.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Charre</LastName><ForeName>Caroline</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Laboratoire de Virologie, Institut de Agents Infectieux, Centre National de Référence des Virus des Infections Respiratoires, Hôpital de la Croix-Rousse, Hospices Civils de Lyon.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Université[Combining Acute Accent] Claude Bernard.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>INSERM U1052-CRCL (Centre de Recherche en Cancérologie).</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Icard</LastName><ForeName>Vinca</ForeName><Initials>V</Initials><AffiliationInfo><Affiliation>Laboratoire de Virologie, Institut de Agents Infectieux, Centre National de Référence des Virus des Infections Respiratoires, Hôpital de la Croix-Rousse, Hospices Civils de Lyon.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pradat</LastName><ForeName>Pierre</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Centre de Recherche Clinique (CRC), Hospices Civils de Lyon.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Brochier</LastName><ForeName>Corinne</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Centre de Recherche Clinique (CRC), Hospices Civils de Lyon.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lina</LastName><ForeName>Bruno</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Laboratoire de Virologie, Institut de Agents Infectieux, Centre National de Référence des Virus des Infections Respiratoires, Hôpital de la Croix-Rousse, Hospices Civils de Lyon.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Université[Combining Acute Accent] Claude Bernard.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chidiac</LastName><ForeName>Christian</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Université[Combining Acute Accent] Claude Bernard.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Service des Maladies Infectieuses et Tropicales, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cotte</LastName><ForeName>Laurent</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Service des Maladies Infectieuses et Tropicales, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>AIDS</MedlineTA><NlmUniqueID>8710219</NlmUniqueID><ISSNLinking>0269-9370</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName><SupplMeshName Type="Protocol" UI="C000657964">COVID-19 diagnostic testing</SupplMeshName><SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><CitationSubset>X</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019411" MajorTopicYN="N">Clinical Laboratory Techniques</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016208" MajorTopicYN="N">Databases, Factual</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005602" MajorTopicYN="N" Type="Geographic">France</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015658" MajorTopicYN="N">HIV Infections</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015994" MajorTopicYN="N">Incidence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016015" MajorTopicYN="N">Logistic Models</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015999" MajorTopicYN="N">Multivariate Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D065129" MajorTopicYN="Y">Pre-Exposure Prophylaxis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>9</Month><Day>5</Day><Hour>17</Hour><Minute>5</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>9</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>9</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32889852</ArticleId><ArticleId IdType="doi">10.1097/QAD.0000000000002639</ArticleId><ArticleId IdType="pii">00002030-202010010-00009</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>France</li></country><region><li>Auvergne-Rhône-Alpes</li><li>Rhône-Alpes</li></region><settlement><li>Lyon</li></settlement></list><tree><noCountry><name sortKey="Brochier, Corinne" sort="Brochier, Corinne" uniqKey="Brochier C" first="Corinne" last="Brochier">Corinne Brochier</name><name sortKey="Charre, Caroline" sort="Charre, Caroline" uniqKey="Charre C" first="Caroline" last="Charre">Caroline Charre</name><name sortKey="Icard, Vinca" sort="Icard, Vinca" uniqKey="Icard V" first="Vinca" last="Icard">Vinca Icard</name><name sortKey="Lina, Bruno" sort="Lina, Bruno" uniqKey="Lina B" first="Bruno" last="Lina">Bruno Lina</name><name sortKey="Pradat, Pierre" sort="Pradat, Pierre" uniqKey="Pradat P" first="Pierre" last="Pradat">Pierre Pradat</name></noCountry><country name="France"><region name="Auvergne-Rhône-Alpes"><name sortKey="Chidiac, Christian" sort="Chidiac, Christian" uniqKey="Chidiac C" first="Christian" last="Chidiac">Christian Chidiac</name></region><name sortKey="Cotte, Laurent" sort="Cotte, Laurent" uniqKey="Cotte L" first="Laurent" last="Cotte">Laurent Cotte</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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