Pandemic and post-pandemic influenza A (H1N1) infection in critically ill patients.
Identifieur interne : 000392 ( Main/Exploration ); précédent : 000391; suivant : 000393Pandemic and post-pandemic influenza A (H1N1) infection in critically ill patients.
Auteurs : Ignacio Martin-Loeches [Espagne] ; Emili Díaz ; Loreto Vidaur ; Antoni Torres ; Cesar Laborda ; Rosa Granada ; Juan Bonastre ; Mar Martín ; Josu Insausti ; Angel Arenzana ; Jose Eugenio Guerrero ; Ines Navarrete ; Jesus Bermejo-Martin ; David Suarez ; Alejandro RodriguezSource :
- Critical care (London, England) [ 1466-609X ] ; 2011.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Espagne (épidémiologie), Facteurs de risque (MeSH), Facteurs âges (MeSH), Femelle (MeSH), Grippe humaine (mortalité), Grippe humaine (épidémiologie), Grippe humaine (étiologie), Humains (MeSH), Jeune adulte (MeSH), Maladie grave (mortalité), Maladie grave (épidémiologie), Modèles logistiques (MeSH), Mâle (MeSH), Pandémies (statistiques et données numériques), Sous-type H1N1 du virus de la grippe A (MeSH), Statistique non paramétrique (MeSH), Sujet âgé (MeSH), Unités de soins intensifs (statistiques et données numériques), Études prospectives (MeSH).
- MESH :
- mortalité : Grippe humaine, Maladie grave.
- statistiques et données numériques : Pandémies, Unités de soins intensifs.
- épidémiologie : Espagne, Grippe humaine, Maladie grave.
- étiologie : Grippe humaine.
- Adolescent, Adulte, Adulte d'âge moyen, Facteurs de risque, Facteurs âges, Femelle, Humains, Jeune adulte, Modèles logistiques, Mâle, Sous-type H1N1 du virus de la grippe A, Statistique non paramétrique, Sujet âgé, Études prospectives.
- Wicri :
- geographic : Espagne.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Age Factors (MeSH), Aged (MeSH), Critical Illness (epidemiology), Critical Illness (mortality), Female (MeSH), Humans (MeSH), Influenza A Virus, H1N1 Subtype (MeSH), Influenza, Human (epidemiology), Influenza, Human (etiology), Influenza, Human (mortality), Intensive Care Units (statistics & numerical data), Logistic Models (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (statistics & numerical data), Prospective Studies (MeSH), Risk Factors (MeSH), Spain (epidemiology), Statistics, Nonparametric (MeSH), Young Adult (MeSH).
- MESH :
- geographic , epidemiology : Spain.
- epidemiology : Critical Illness, Influenza, Human.
- etiology : Influenza, Human.
- mortality : Critical Illness, Influenza, Human.
- statistics & numerical data : Intensive Care Units, Pandemics.
- Adolescent, Adult, Age Factors, Aged, Female, Humans, Influenza A Virus, H1N1 Subtype, Logistic Models, Male, Middle Aged, Prospective Studies, Risk Factors, Statistics, Nonparametric, Young Adult.
Abstract
BACKGROUND
There is a vast amount of information published regarding the impact of 2009 pandemic Influenza A (pH1N1) virus infection. However, a comparison of risk factors and outcome during the 2010-2011 post-pandemic period has not been described.
METHODS
A prospective, observational, multi-center study was carried out to evaluate the clinical characteristics and demographics of patients with positive RT-PCR for H1N1 admitted to 148 Spanish intensive care units (ICUs). Data were obtained from the 2009 pandemic and compared to the 2010-2011 post-pandemic period.
RESULTS
Nine hundred and ninety-seven patients with confirmed An/H1N1 infection were included. Six hundred and forty-eight patients affected by 2009 (pH1N1) virus infection and 349 patients affected by the post-pandemic Influenza (H1N1)v infection period were analyzed. Patients during the post-pandemic period were older, had more chronic comorbid conditions and presented with higher severity scores (Acute Physiology And Chronic Health Evaluation II (APACHE II) and Sequential Organ Failure Assessment (SOFA)) on ICU admission. Patients from the post-pandemic Influenza (H1N1)v infection period received empiric antiviral treatment less frequently and with delayed administration. Mortality was significantly higher in the post-pandemic period. Multivariate analysis confirmed that haematological disease, invasive mechanical ventilation and continuous renal replacement therapy were factors independently associated with worse outcome in the two periods. HIV was the only new variable independently associated with higher ICU mortality during the post-pandemic Influenza (H1N1)v infection period.
CONCLUSION
Patients from the post-pandemic Influenza (H1N1)v infection period had an unexpectedly higher mortality rate and showed a trend towards affecting a more vulnerable population, in keeping with more typical seasonal viral infection.
DOI: 10.1186/cc10573
PubMed: 22126648
PubMed Central: PMC3388633
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Sabadell</wicri:regionArea><wicri:noRegion>Sabadell</wicri:noRegion></affiliation></author><author><name sortKey="Diaz, Emili" sort="Diaz, Emili" uniqKey="Diaz E" first="Emili" last="Díaz">Emili Díaz</name></author><author><name sortKey="Vidaur, Loreto" sort="Vidaur, Loreto" uniqKey="Vidaur L" first="Loreto" last="Vidaur">Loreto Vidaur</name></author><author><name sortKey="Torres, Antoni" sort="Torres, Antoni" uniqKey="Torres A" first="Antoni" last="Torres">Antoni Torres</name></author><author><name sortKey="Laborda, Cesar" sort="Laborda, Cesar" uniqKey="Laborda C" first="Cesar" last="Laborda">Cesar Laborda</name></author><author><name sortKey="Granada, Rosa" sort="Granada, Rosa" uniqKey="Granada R" first="Rosa" last="Granada">Rosa Granada</name></author><author><name sortKey="Bonastre, Juan" sort="Bonastre, Juan" uniqKey="Bonastre J" first="Juan" last="Bonastre">Juan Bonastre</name></author><author><name sortKey="Martin, Mar" sort="Martin, Mar" uniqKey="Martin M" first="Mar" last="Martín">Mar Martín</name></author><author><name sortKey="Insausti, Josu" sort="Insausti, Josu" uniqKey="Insausti J" first="Josu" last="Insausti">Josu Insausti</name></author><author><name sortKey="Arenzana, Angel" sort="Arenzana, Angel" uniqKey="Arenzana A" first="Angel" last="Arenzana">Angel Arenzana</name></author><author><name sortKey="Guerrero, Jose Eugenio" sort="Guerrero, Jose Eugenio" uniqKey="Guerrero J" first="Jose Eugenio" last="Guerrero">Jose Eugenio Guerrero</name></author><author><name sortKey="Navarrete, Ines" sort="Navarrete, Ines" uniqKey="Navarrete I" first="Ines" last="Navarrete">Ines Navarrete</name></author><author><name sortKey="Bermejo Martin, Jesus" sort="Bermejo Martin, Jesus" uniqKey="Bermejo Martin J" first="Jesus" last="Bermejo-Martin">Jesus Bermejo-Martin</name></author><author><name sortKey="Suarez, David" sort="Suarez, David" uniqKey="Suarez D" first="David" last="Suarez">David Suarez</name></author><author><name sortKey="Rodriguez, Alejandro" sort="Rodriguez, Alejandro" uniqKey="Rodriguez A" first="Alejandro" last="Rodriguez">Alejandro Rodriguez</name></author></analytic><series><title level="j">Critical care (London, England)</title><idno type="eISSN">1466-609X</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Adult (MeSH)</term><term>Age Factors (MeSH)</term><term>Aged (MeSH)</term><term>Critical Illness (epidemiology)</term><term>Critical Illness (mortality)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Influenza A Virus, H1N1 Subtype (MeSH)</term><term>Influenza, Human (epidemiology)</term><term>Influenza, Human (etiology)</term><term>Influenza, Human (mortality)</term><term>Intensive Care Units (statistics & numerical data)</term><term>Logistic Models (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (statistics & numerical data)</term><term>Prospective Studies (MeSH)</term><term>Risk Factors (MeSH)</term><term>Spain (epidemiology)</term><term>Statistics, Nonparametric (MeSH)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Espagne (épidémiologie)</term><term>Facteurs de risque (MeSH)</term><term>Facteurs âges (MeSH)</term><term>Femelle (MeSH)</term><term>Grippe humaine (mortalité)</term><term>Grippe humaine (épidémiologie)</term><term>Grippe humaine (étiologie)</term><term>Humains (MeSH)</term><term>Jeune adulte (MeSH)</term><term>Maladie grave (mortalité)</term><term>Maladie grave (épidémiologie)</term><term>Modèles logistiques (MeSH)</term><term>Mâle (MeSH)</term><term>Pandémies (statistiques et données numériques)</term><term>Sous-type H1N1 du virus de la grippe A (MeSH)</term><term>Statistique non paramétrique (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Unités de soins intensifs (statistiques et données numériques)</term><term>Études prospectives (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Spain</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Critical Illness</term><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Critical Illness</term><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Grippe humaine</term><term>Maladie grave</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Intensive Care Units</term><term>Pandemics</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Pandémies</term><term>Unités de soins intensifs</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Espagne</term><term>Grippe humaine</term><term>Maladie grave</term></keywords><keywords scheme="MESH" qualifier="étiologie" xml:lang="fr"><term>Grippe humaine</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Factors</term><term>Aged</term><term>Female</term><term>Humans</term><term>Influenza A Virus, H1N1 Subtype</term><term>Logistic Models</term><term>Male</term><term>Middle Aged</term><term>Prospective Studies</term><term>Risk Factors</term><term>Statistics, Nonparametric</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Facteurs de risque</term><term>Facteurs âges</term><term>Femelle</term><term>Humains</term><term>Jeune adulte</term><term>Modèles logistiques</term><term>Mâle</term><term>Sous-type H1N1 du virus de la grippe A</term><term>Statistique non paramétrique</term><term>Sujet âgé</term><term>Études prospectives</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Espagne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>There is a vast amount of information published regarding the impact of 2009 pandemic Influenza A (pH1N1) virus infection. However, a comparison of risk factors and outcome during the 2010-2011 post-pandemic period has not been described.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>A prospective, observational, multi-center study was carried out to evaluate the clinical characteristics and demographics of patients with positive RT-PCR for H1N1 admitted to 148 Spanish intensive care units (ICUs). Data were obtained from the 2009 pandemic and compared to the 2010-2011 post-pandemic period.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Nine hundred and ninety-seven patients with confirmed An/H1N1 infection were included. Six hundred and forty-eight patients affected by 2009 (pH1N1) virus infection and 349 patients affected by the post-pandemic Influenza (H1N1)v infection period were analyzed. Patients during the post-pandemic period were older, had more chronic comorbid conditions and presented with higher severity scores (Acute Physiology And Chronic Health Evaluation II (APACHE II) and Sequential Organ Failure Assessment (SOFA)) on ICU admission. Patients from the post-pandemic Influenza (H1N1)v infection period received empiric antiviral treatment less frequently and with delayed administration. Mortality was significantly higher in the post-pandemic period. Multivariate analysis confirmed that haematological disease, invasive mechanical ventilation and continuous renal replacement therapy were factors independently associated with worse outcome in the two periods. HIV was the only new variable independently associated with higher ICU mortality during the post-pandemic Influenza (H1N1)v infection period.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>Patients from the post-pandemic Influenza (H1N1)v infection period had an unexpectedly higher mortality rate and showed a trend towards affecting a more vulnerable population, in keeping with more typical seasonal viral infection.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22126648</PMID><DateCompleted><Year>2013</Year><Month>06</Month><Day>12</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1466-609X</ISSN><JournalIssue CitedMedium="Internet"><Volume>15</Volume><Issue>6</Issue><PubDate><Year>2011</Year></PubDate></JournalIssue><Title>Critical care (London, England)</Title><ISOAbbreviation>Crit Care</ISOAbbreviation></Journal><ArticleTitle>Pandemic and post-pandemic influenza A (H1N1) infection in critically ill patients.</ArticleTitle><Pagination><MedlinePgn>R286</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/cc10573</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">There is a vast amount of information published regarding the impact of 2009 pandemic Influenza A (pH1N1) virus infection. However, a comparison of risk factors and outcome during the 2010-2011 post-pandemic period has not been described.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">A prospective, observational, multi-center study was carried out to evaluate the clinical characteristics and demographics of patients with positive RT-PCR for H1N1 admitted to 148 Spanish intensive care units (ICUs). Data were obtained from the 2009 pandemic and compared to the 2010-2011 post-pandemic period.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Nine hundred and ninety-seven patients with confirmed An/H1N1 infection were included. Six hundred and forty-eight patients affected by 2009 (pH1N1) virus infection and 349 patients affected by the post-pandemic Influenza (H1N1)v infection period were analyzed. Patients during the post-pandemic period were older, had more chronic comorbid conditions and presented with higher severity scores (Acute Physiology And Chronic Health Evaluation II (APACHE II) and Sequential Organ Failure Assessment (SOFA)) on ICU admission. Patients from the post-pandemic Influenza (H1N1)v infection period received empiric antiviral treatment less frequently and with delayed administration. Mortality was significantly higher in the post-pandemic period. Multivariate analysis confirmed that haematological disease, invasive mechanical ventilation and continuous renal replacement therapy were factors independently associated with worse outcome in the two periods. HIV was the only new variable independently associated with higher ICU mortality during the post-pandemic Influenza (H1N1)v infection period.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Patients from the post-pandemic Influenza (H1N1)v infection period had an unexpectedly higher mortality rate and showed a trend towards affecting a more vulnerable population, in keeping with more typical seasonal viral infection.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Martin-Loeches</LastName><ForeName>Ignacio</ForeName><Initials>I</Initials><AffiliationInfo><Affiliation>Critical Care Center, Parc Taulí Hospital-Sabadell, CIBERes, Sabadell, Spain. drmartinloeches@gmail.com</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Díaz</LastName><ForeName>Emili</ForeName><Initials>E</Initials></Author><Author ValidYN="Y"><LastName>Vidaur</LastName><ForeName>Loreto</ForeName><Initials>L</Initials></Author><Author ValidYN="Y"><LastName>Torres</LastName><ForeName>Antoni</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Laborda</LastName><ForeName>Cesar</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Granada</LastName><ForeName>Rosa</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Bonastre</LastName><ForeName>Juan</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Martín</LastName><ForeName>Mar</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Insausti</LastName><ForeName>Josu</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Arenzana</LastName><ForeName>Angel</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Guerrero</LastName><ForeName>Jose Eugenio</ForeName><Initials>JE</Initials></Author><Author ValidYN="Y"><LastName>Navarrete</LastName><ForeName>Ines</ForeName><Initials>I</Initials></Author><Author ValidYN="Y"><LastName>Bermejo-Martin</LastName><ForeName>Jesus</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Suarez</LastName><ForeName>David</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Rodriguez</LastName><ForeName>Alejandro</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><CollectiveName>H1N1 SEMICYUC/REIPI/CIBERES Working group</CollectiveName></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016448">Multicenter Study</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2011</Year><Month>11</Month><Day>28</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Crit Care</MedlineTA><NlmUniqueID>9801902</NlmUniqueID><ISSNLinking>1364-8535</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016638" MajorTopicYN="N">Critical Illness</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D053118" MajorTopicYN="Y">Influenza A Virus, H1N1 Subtype</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000209" MajorTopicYN="N">etiology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007362" MajorTopicYN="N">Intensive Care Units</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></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="D058873" MajorTopicYN="N">Pandemics</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011446" MajorTopicYN="N">Prospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018709" MajorTopicYN="N">Statistics, Nonparametric</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><InvestigatorList><Investigator ValidYN="Y"><LastName>Cobo</LastName><ForeName>Pedro</ForeName><Initials>P</Initials></Investigator><Investigator ValidYN="Y"><LastName>Martins</LastName><ForeName>Javier</ForeName><Initials>J</Initials></Investigator><Investigator ValidYN="Y"><LastName>Carbayo</LastName><ForeName>Cecilia</ForeName><Initials>C</Initials></Investigator><Investigator ValidYN="Y"><LastName>Robles-Musso</LastName><ForeName>Emilio</ForeName><Initials>E</Initials></Investigator><Investigator ValidYN="Y"><LastName>Cárdenas</LastName><ForeName>Antonio</ForeName><Initials>A</Initials></Investigator><Investigator ValidYN="Y"><LastName>Fierro</LastName><ForeName>Javier</ForeName><Initials>J</Initials></Investigator><Investigator ValidYN="Y"><LastName>Ocaña Fernández</LastName><ForeName>Dolores</ForeName><Initials>D</Initials></Investigator><Investigator ValidYN="Y"><LastName>Sierra</LastName><ForeName>Rafael</ForeName><Initials>R</Initials></Investigator><Investigator ValidYN="Y"><LastName>Huertos</LastName><ForeName>Ma Jesús</ForeName><Initials>MJ</Initials></Investigator><Investigator ValidYN="Y"><LastName>Pozo</LastName><ForeName>Juan Carlos</ForeName><Initials>JC</Initials></Investigator><Investigator ValidYN="Y"><LastName>Guerrero</LastName><ForeName>R</ForeName><Initials>R</Initials></Investigator><Investigator 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ValidYN="Y"><LastName>Ferri</LastName><ForeName>Cristina</ForeName><Initials>C</Initials></Investigator><Investigator ValidYN="Y"><LastName>López de Arbina</LastName><ForeName>Nerea</ForeName><Initials>N</Initials></Investigator><Investigator ValidYN="Y"><LastName>Badía</LastName><ForeName>Mariona</ForeName><Initials>M</Initials></Investigator><Investigator ValidYN="Y"><LastName>Valverdú-Vidal</LastName><ForeName>Montserrat</ForeName><Initials>M</Initials></Investigator><Investigator ValidYN="Y"><LastName>Barcenilla</LastName><ForeName>Fernando</ForeName><Initials>F</Initials></Investigator><Investigator ValidYN="Y"><LastName>Magret</LastName><ForeName>Mònica</ForeName><Initials>M</Initials></Investigator><Investigator ValidYN="Y"><LastName>Esteban</LastName><ForeName>M F</ForeName><Initials>MF</Initials></Investigator><Investigator ValidYN="Y"><LastName>Luna</LastName><ForeName>José</ForeName><Initials>J</Initials></Investigator><Investigator 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