CovidChloroV1, Main, Exploration, bibRecord, 000483

Features of patients that died for COVID-19 in a hospital in the south of Mexico: A observational cohort study.

Identifieur interne : 000483 ( Main/Exploration ); précédent : 000482; suivant : 000484

Features of patients that died for COVID-19 in a hospital in the south of Mexico: A observational cohort study.

Auteurs : Jesús Arturo Ruíz-Qui Onez [Mexique] ; Crystell Guadalupe Guzmán-Priego [Mexique] ; Germán Alberto Nolasco-Rosales [Mexique] ; Carlos Alfonso Tovilla-Zarate [Mexique] ; Oscar Israel Flores-Barrientos [Mexique] ; Víctor Narváez-Osorio [Mexique] ; Guadalupe Del Carmen Baeza-Flores [Mexique] ; Thelma Beatriz Gonzalez-Castro [Mexique] ; Carlos Ram N L Pez-Brito [Mexique] ; Carlos Alberto Denis-García [Mexique] ; Agustín Pérez-García [Mexique] ; Isela Esther Juárez-Rojop [Mexique]

Source :

PloS one [ 1932-6203 ] ; 2021.

RBID : pubmed:33606711

Descripteurs français

KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Azithromycine (administration et posologie), Diabète de type 1 (anatomopathologie), Diabète de type 1 (complications), Diabète de type 1 (mortalité), Diabète de type 1 (traitement médicamenteux), Durée du séjour (MeSH), Facteurs sexuels (MeSH), Femelle (MeSH), Humains (MeSH), Hydroxychloroquine (administration et posologie), Hôpitaux (MeSH), Mexique (MeSH), Mortalité hospitalière (MeSH), Mâle (MeSH), Obésité (anatomopathologie), Obésité (complications), Obésité (mortalité), Obésité (traitement médicamenteux), Oséltamivir (administration et posologie), Sujet âgé (MeSH), Études rétrospectives (MeSH).
MESH :
- administration et posologie : Azithromycine, Hydroxychloroquine, Oséltamivir.
- anatomopathologie : Diabète de type 1, Obésité.
- mortalité : Diabète de type 1, Obésité.
- traitement médicamenteux : Diabète de type 1, Obésité.
- Adulte, Adulte d'âge moyen, Diabète de type 1, Durée du séjour, Facteurs sexuels, Femelle, Humains, Hôpitaux, Mexique, Mortalité hospitalière, Mâle, Obésité, Sujet âgé, Études rétrospectives.
Wicri :
- geographic : Mexique.

English descriptors

KwdEn :
- Adult (MeSH), Aged (MeSH), Azithromycin (administration & dosage), COVID-19 (drug therapy), COVID-19 (mortality), COVID-19 (pathology), Diabetes Mellitus, Type 1 (complications), Diabetes Mellitus, Type 1 (drug therapy), Diabetes Mellitus, Type 1 (mortality), Diabetes Mellitus, Type 1 (pathology), Female (MeSH), Hospital Mortality (MeSH), Hospitals (MeSH), Humans (MeSH), Hydroxychloroquine (administration & dosage), Length of Stay (MeSH), Male (MeSH), Mexico (MeSH), Middle Aged (MeSH), Obesity (complications), Obesity (drug therapy), Obesity (mortality), Obesity (pathology), Oseltamivir (administration & dosage), Retrospective Studies (MeSH), SARS-CoV-2 (MeSH), Sex Factors (MeSH).
MESH :
- chemical , administration & dosage : Azithromycin, Hydroxychloroquine, Oseltamivir.
- geographic : Mexico.
- complications : Diabetes Mellitus, Type 1, Obesity.
- drug therapy : COVID-19, Diabetes Mellitus, Type 1, Obesity.
- mortality : COVID-19, Diabetes Mellitus, Type 1, Obesity.
- pathology : COVID-19, Diabetes Mellitus, Type 1, Obesity.
- Adult, Aged, Female, Hospital Mortality, Hospitals, Humans, Length of Stay, Male, Middle Aged, Retrospective Studies, SARS-CoV-2, Sex Factors.

Abstract

BACKGROUND

Due to the wide spread of SARS-CoV2 around the world, the risk of death in individuals with metabolic comorbidities has dangerously increased. Mexico has a high number of infected individuals and deaths by COVID-19 as well as an important burden of metabolic diseases; nevertheless, reports about features of Mexican individuals with COVID-19 are scarce. The aim of this study was to evaluate demographic features, clinical characteristics and the pharmacological treatment of individuals who died by COVID-19 in the south of Mexico.

METHODS

We performed an observational study including the information of 185 deceased individuals with confirmed diagnoses of COVID-19. Data were retrieved from medical records. Categorical data were expressed as proportions (%) and numerical data were expressed as mean ± standard deviation. Comorbidities and overlapping symptoms were plotted as Venn diagrams. Drug clusters were plotted as dendrograms.

RESULTS

The mean age was 59.53 years. There was a male predominance (60.1%). The mean hospital stay was 4.75 ± 4.43 days. The most frequent symptoms were dyspnea (88.77%), fever (71.42%) and dry cough (64.28%). Present comorbidities included diabetes (60.63%), hypertension (59.57%) and obesity (43.61%). The main drugs used for treating COVID-19 were azithromycin (60.6%), hydroxychloroquine (53.0%) and oseltamivir (27.3%).

CONCLUSIONS

Mexican individuals who died of COVID-19 had shorter hospital stays, higher frequency of shortness of breath, and higher prevalence of diabetes than individuals from other countries. Also, there was a high frequency of off-label use of drugs for their treatment.

DOI: 10.1371/journal.pone.0245394
PubMed: 33606711
PubMed Central: PMC7894952

Affiliations:

Mexique

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000330
to stream Main, to step Curation: 000330

Le document en format XML

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<author><name sortKey="Gonzalez Castro, Thelma Beatriz" sort="Gonzalez Castro, Thelma Beatriz" uniqKey="Gonzalez Castro T" first="Thelma Beatriz" last="Gonzalez-Castro">Thelma Beatriz Gonzalez-Castro</name>
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<author><name sortKey="Juarez Rojop, Isela Esther" sort="Juarez Rojop, Isela Esther" uniqKey="Juarez Rojop I" first="Isela Esther" last="Juárez-Rojop">Isela Esther Juárez-Rojop</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Features of patients that died for COVID-19 in a hospital in the south of Mexico: A observational cohort study.</title>
<author><name sortKey="Ruiz Qui Onez, Jesus Arturo" sort="Ruiz Qui Onez, Jesus Arturo" uniqKey="Ruiz Qui Onez J" first="Jesús Arturo" last="Ruíz-Qui Onez">Jesús Arturo Ruíz-Qui Onez</name>
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<author><name sortKey="Guzman Priego, Crystell Guadalupe" sort="Guzman Priego, Crystell Guadalupe" uniqKey="Guzman Priego C" first="Crystell Guadalupe" last="Guzmán-Priego">Crystell Guadalupe Guzmán-Priego</name>
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<author><name sortKey="Nolasco Rosales, German Alberto" sort="Nolasco Rosales, German Alberto" uniqKey="Nolasco Rosales G" first="Germán Alberto" last="Nolasco-Rosales">Germán Alberto Nolasco-Rosales</name>
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<author><name sortKey="Tovilla Zarate, Carlos Alfonso" sort="Tovilla Zarate, Carlos Alfonso" uniqKey="Tovilla Zarate C" first="Carlos Alfonso" last="Tovilla-Zarate">Carlos Alfonso Tovilla-Zarate</name>
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<country xml:lang="fr" wicri:curation="lc">Mexique</country>
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<author><name sortKey="Flores Barrientos, Oscar Israel" sort="Flores Barrientos, Oscar Israel" uniqKey="Flores Barrientos O" first="Oscar Israel" last="Flores-Barrientos">Oscar Israel Flores-Barrientos</name>
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<country xml:lang="fr" wicri:curation="lc">Mexique</country>
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<author><name sortKey="Narvaez Osorio, Victor" sort="Narvaez Osorio, Victor" uniqKey="Narvaez Osorio V" first="Víctor" last="Narváez-Osorio">Víctor Narváez-Osorio</name>
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<country xml:lang="fr" wicri:curation="lc">Mexique</country>
<wicri:regionArea>Secretaría de Salud, Hospital de Alta Especialidad Dr. Juan Graham Casasús, Villahermosa, Tabasco</wicri:regionArea>
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<author><name sortKey="Baeza Flores, Guadalupe Del Carmen" sort="Baeza Flores, Guadalupe Del Carmen" uniqKey="Baeza Flores G" first="Guadalupe Del Carmen" last="Baeza-Flores">Guadalupe Del Carmen Baeza-Flores</name>
<affiliation wicri:level="1"><nlm:affiliation>División Académica de Ciencias de la Salud, Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, México.</nlm:affiliation>
<country xml:lang="fr" wicri:curation="lc">Mexique</country>
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<wicri:noRegion>Tabasco</wicri:noRegion>
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<author><name sortKey="Gonzalez Castro, Thelma Beatriz" sort="Gonzalez Castro, Thelma Beatriz" uniqKey="Gonzalez Castro T" first="Thelma Beatriz" last="Gonzalez-Castro">Thelma Beatriz Gonzalez-Castro</name>
<affiliation wicri:level="1"><nlm:affiliation>División Académica de Multidisciplinaria de Jalpa de Méndez, Universidad Juárez Autónoma de Tabasco, Jalpa de Méndez, Tabasco, México.</nlm:affiliation>
<country xml:lang="fr" wicri:curation="lc">Mexique</country>
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<author><name sortKey="L Pez Brito, Carlos Ram N" sort="L Pez Brito, Carlos Ram N" uniqKey="L Pez Brito C" first="Carlos Ram N" last="L Pez-Brito">Carlos Ram N L Pez-Brito</name>
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<country xml:lang="fr" wicri:curation="lc">Mexique</country>
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<author><name sortKey="Denis Garcia, Carlos Alberto" sort="Denis Garcia, Carlos Alberto" uniqKey="Denis Garcia C" first="Carlos Alberto" last="Denis-García">Carlos Alberto Denis-García</name>
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<country xml:lang="fr" wicri:curation="lc">Mexique</country>
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<author><name sortKey="Perez Garcia, Agustin" sort="Perez Garcia, Agustin" uniqKey="Perez Garcia A" first="Agustín" last="Pérez-García">Agustín Pérez-García</name>
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<author><name sortKey="Juarez Rojop, Isela Esther" sort="Juarez Rojop, Isela Esther" uniqKey="Juarez Rojop I" first="Isela Esther" last="Juárez-Rojop">Isela Esther Juárez-Rojop</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Azithromycin (administration & dosage)</term>
<term>COVID-19 (drug therapy)</term>
<term>COVID-19 (mortality)</term>
<term>COVID-19 (pathology)</term>
<term>Diabetes Mellitus, Type 1 (complications)</term>
<term>Diabetes Mellitus, Type 1 (drug therapy)</term>
<term>Diabetes Mellitus, Type 1 (mortality)</term>
<term>Diabetes Mellitus, Type 1 (pathology)</term>
<term>Female (MeSH)</term>
<term>Hospital Mortality (MeSH)</term>
<term>Hospitals (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Hydroxychloroquine (administration & dosage)</term>
<term>Length of Stay (MeSH)</term>
<term>Male (MeSH)</term>
<term>Mexico (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Obesity (complications)</term>
<term>Obesity (drug therapy)</term>
<term>Obesity (mortality)</term>
<term>Obesity (pathology)</term>
<term>Oseltamivir (administration & dosage)</term>
<term>Retrospective Studies (MeSH)</term>
<term>SARS-CoV-2 (MeSH)</term>
<term>Sex Factors (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Azithromycine (administration et posologie)</term>
<term>Diabète de type 1 (anatomopathologie)</term>
<term>Diabète de type 1 (complications)</term>
<term>Diabète de type 1 (mortalité)</term>
<term>Diabète de type 1 (traitement médicamenteux)</term>
<term>Durée du séjour (MeSH)</term>
<term>Facteurs sexuels (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Hydroxychloroquine (administration et posologie)</term>
<term>Hôpitaux (MeSH)</term>
<term>Mexique (MeSH)</term>
<term>Mortalité hospitalière (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Obésité (anatomopathologie)</term>
<term>Obésité (complications)</term>
<term>Obésité (mortalité)</term>
<term>Obésité (traitement médicamenteux)</term>
<term>Oséltamivir (administration et posologie)</term>
<term>Sujet âgé (MeSH)</term>
<term>Études rétrospectives (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="administration & dosage" xml:lang="en"><term>Azithromycin</term>
<term>Hydroxychloroquine</term>
<term>Oseltamivir</term>
</keywords>
<keywords scheme="MESH" type="geographic" xml:lang="en"><term>Mexico</term>
</keywords>
<keywords scheme="MESH" qualifier="administration et posologie" xml:lang="fr"><term>Azithromycine</term>
<term>Hydroxychloroquine</term>
<term>Oséltamivir</term>
</keywords>
<keywords scheme="MESH" qualifier="anatomopathologie" xml:lang="fr"><term>Diabète de type 1</term>
<term>Obésité</term>
</keywords>
<keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Diabetes Mellitus, Type 1</term>
<term>Obesity</term>
</keywords>
<keywords scheme="MESH" qualifier="drug therapy" xml:lang="en"><term>COVID-19</term>
<term>Diabetes Mellitus, Type 1</term>
<term>Obesity</term>
</keywords>
<keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>COVID-19</term>
<term>Diabetes Mellitus, Type 1</term>
<term>Obesity</term>
</keywords>
<keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Diabète de type 1</term>
<term>Obésité</term>
</keywords>
<keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>COVID-19</term>
<term>Diabetes Mellitus, Type 1</term>
<term>Obesity</term>
</keywords>
<keywords scheme="MESH" qualifier="traitement médicamenteux" xml:lang="fr"><term>Diabète de type 1</term>
<term>Obésité</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adult</term>
<term>Aged</term>
<term>Female</term>
<term>Hospital Mortality</term>
<term>Hospitals</term>
<term>Humans</term>
<term>Length of Stay</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Retrospective Studies</term>
<term>SARS-CoV-2</term>
<term>Sex Factors</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Diabète de type 1</term>
<term>Durée du séjour</term>
<term>Facteurs sexuels</term>
<term>Femelle</term>
<term>Humains</term>
<term>Hôpitaux</term>
<term>Mexique</term>
<term>Mortalité hospitalière</term>
<term>Mâle</term>
<term>Obésité</term>
<term>Sujet âgé</term>
<term>Études rétrospectives</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Mexique</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>Due to the wide spread of SARS-CoV2 around the world, the risk of death in individuals with metabolic comorbidities has dangerously increased. Mexico has a high number of infected individuals and deaths by COVID-19 as well as an important burden of metabolic diseases; nevertheless, reports about features of Mexican individuals with COVID-19 are scarce. The aim of this study was to evaluate demographic features, clinical characteristics and the pharmacological treatment of individuals who died by COVID-19 in the south of Mexico.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>We performed an observational study including the information of 185 deceased individuals with confirmed diagnoses of COVID-19. Data were retrieved from medical records. Categorical data were expressed as proportions (%) and numerical data were expressed as mean ± standard deviation. Comorbidities and overlapping symptoms were plotted as Venn diagrams. Drug clusters were plotted as dendrograms.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>The mean age was 59.53 years. There was a male predominance (60.1%). The mean hospital stay was 4.75 ± 4.43 days. The most frequent symptoms were dyspnea (88.77%), fever (71.42%) and dry cough (64.28%). Present comorbidities included diabetes (60.63%), hypertension (59.57%) and obesity (43.61%). The main drugs used for treating COVID-19 were azithromycin (60.6%), hydroxychloroquine (53.0%) and oseltamivir (27.3%).</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>Mexican individuals who died of COVID-19 had shorter hospital stays, higher frequency of shortness of breath, and higher prevalence of diabetes than individuals from other countries. Also, there was a high frequency of off-label use of drugs for their treatment.</p>
</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">33606711</PMID>
<DateCompleted><Year>2021</Year>
<Month>03</Month>
<Day>01</Day>
</DateCompleted>
<DateRevised><Year>2021</Year>
<Month>03</Month>
<Day>03</Day>
</DateRevised>
<Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>16</Volume>
<Issue>2</Issue>
<PubDate><Year>2021</Year>
</PubDate>
</JournalIssue>
<Title>PloS one</Title>
<ISOAbbreviation>PLoS One</ISOAbbreviation>
</Journal>
<ArticleTitle>Features of patients that died for COVID-19 in a hospital in the south of Mexico: A observational cohort study.</ArticleTitle>
<Pagination><MedlinePgn>e0245394</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0245394</ELocationID>
<Abstract><AbstractText Label="BACKGROUND">Due to the wide spread of SARS-CoV2 around the world, the risk of death in individuals with metabolic comorbidities has dangerously increased. Mexico has a high number of infected individuals and deaths by COVID-19 as well as an important burden of metabolic diseases; nevertheless, reports about features of Mexican individuals with COVID-19 are scarce. The aim of this study was to evaluate demographic features, clinical characteristics and the pharmacological treatment of individuals who died by COVID-19 in the south of Mexico.</AbstractText>
<AbstractText Label="METHODS">We performed an observational study including the information of 185 deceased individuals with confirmed diagnoses of COVID-19. Data were retrieved from medical records. Categorical data were expressed as proportions (%) and numerical data were expressed as mean ± standard deviation. Comorbidities and overlapping symptoms were plotted as Venn diagrams. Drug clusters were plotted as dendrograms.</AbstractText>
<AbstractText Label="RESULTS">The mean age was 59.53 years. There was a male predominance (60.1%). The mean hospital stay was 4.75 ± 4.43 days. The most frequent symptoms were dyspnea (88.77%), fever (71.42%) and dry cough (64.28%). Present comorbidities included diabetes (60.63%), hypertension (59.57%) and obesity (43.61%). The main drugs used for treating COVID-19 were azithromycin (60.6%), hydroxychloroquine (53.0%) and oseltamivir (27.3%).</AbstractText>
<AbstractText Label="CONCLUSIONS">Mexican individuals who died of COVID-19 had shorter hospital stays, higher frequency of shortness of breath, and higher prevalence of diabetes than individuals from other countries. Also, there was a high frequency of off-label use of drugs for their treatment.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ruíz-Quiñonez</LastName>
<ForeName>Jesús Arturo</ForeName>
<Initials>JA</Initials>
<AffiliationInfo><Affiliation>Secretaría de Salud, Hospital de Alta Especialidad Dr. Juan Graham Casasús, Villahermosa, Tabasco, México.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Guzmán-Priego</LastName>
<ForeName>Crystell Guadalupe</ForeName>
<Initials>CG</Initials>
<AffiliationInfo><Affiliation>División Académica de Ciencias de la Salud, Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, México.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Nolasco-Rosales</LastName>
<ForeName>Germán Alberto</ForeName>
<Initials>GA</Initials>
<AffiliationInfo><Affiliation>División Académica de Ciencias de la Salud, Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, México.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Tovilla-Zarate</LastName>
<ForeName>Carlos Alfonso</ForeName>
<Initials>CA</Initials>
<AffiliationInfo><Affiliation>División Académica Multidisciplinaria de Comalcalco, Universidad Juárez Autónoma de Tabasco, Comalcalco, Tabasco, México.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Flores-Barrientos</LastName>
<ForeName>Oscar Israel</ForeName>
<Initials>OI</Initials>
<AffiliationInfo><Affiliation>Secretaría de Salud, Hospital de Alta Especialidad Dr. Juan Graham Casasús, Villahermosa, Tabasco, México.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Narváez-Osorio</LastName>
<ForeName>Víctor</ForeName>
<Initials>V</Initials>
<AffiliationInfo><Affiliation>Secretaría de Salud, Hospital de Alta Especialidad Dr. Juan Graham Casasús, Villahermosa, Tabasco, México.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Baeza-Flores</LastName>
<ForeName>Guadalupe Del Carmen</ForeName>
<Initials>GDC</Initials>
<AffiliationInfo><Affiliation>División Académica de Ciencias de la Salud, Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, México.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Gonzalez-Castro</LastName>
<ForeName>Thelma Beatriz</ForeName>
<Initials>TB</Initials>
<AffiliationInfo><Affiliation>División Académica de Multidisciplinaria de Jalpa de Méndez, Universidad Juárez Autónoma de Tabasco, Jalpa de Méndez, Tabasco, México.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>López-Brito</LastName>
<ForeName>Carlos Ramón</ForeName>
<Initials>CR</Initials>
<AffiliationInfo><Affiliation>Secretaría de Salud, Hospital de Alta Especialidad Dr. Juan Graham Casasús, Villahermosa, Tabasco, México.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Denis-García</LastName>
<ForeName>Carlos Alberto</ForeName>
<Initials>CA</Initials>
<AffiliationInfo><Affiliation>Secretaría de Salud, Hospital de Alta Especialidad Dr. Juan Graham Casasús, Villahermosa, Tabasco, México.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Pérez-García</LastName>
<ForeName>Agustín</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Secretaría de Salud, Hospital de Alta Especialidad Dr. Juan Graham Casasús, Villahermosa, Tabasco, México.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Juárez-Rojop</LastName>
<ForeName>Isela Esther</ForeName>
<Initials>IE</Initials>
<Identifier Source="ORCID">0000-0003-3760-7394</Identifier>
<AffiliationInfo><Affiliation>División Académica de Ciencias de la Salud, Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, México.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D064888">Observational Study</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2021</Year>
<Month>02</Month>
<Day>19</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>PLoS One</MedlineTA>
<NlmUniqueID>101285081</NlmUniqueID>
<ISSNLinking>1932-6203</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList><Chemical><RegistryNumber>20O93L6F9H</RegistryNumber>
<NameOfSubstance UI="D053139">Oseltamivir</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>4QWG6N8QKH</RegistryNumber>
<NameOfSubstance UI="D006886">Hydroxychloroquine</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>83905-01-5</RegistryNumber>
<NameOfSubstance UI="D017963">Azithromycin</NameOfSubstance>
</Chemical>
</ChemicalList>
<SupplMeshList><SupplMeshName Type="Protocol" UI="C000705127">COVID-19 drug treatment</SupplMeshName>
</SupplMeshList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017963" MajorTopicYN="N">Azithromycin</DescriptorName>
<QualifierName UI="Q000008" MajorTopicYN="Y">administration & dosage</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000086382" MajorTopicYN="N">COVID-19</DescriptorName>
<QualifierName UI="Q000188" MajorTopicYN="Y">drug therapy</QualifierName>
<QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName>
<QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003922" MajorTopicYN="Y">Diabetes Mellitus, Type 1</DescriptorName>
<QualifierName UI="Q000150" MajorTopicYN="N">complications</QualifierName>
<QualifierName UI="Q000188" MajorTopicYN="N">drug therapy</QualifierName>
<QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName>
<QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017052" MajorTopicYN="Y">Hospital Mortality</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006761" MajorTopicYN="N">Hospitals</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006886" MajorTopicYN="N">Hydroxychloroquine</DescriptorName>
<QualifierName UI="Q000008" MajorTopicYN="Y">administration & dosage</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007902" MajorTopicYN="N">Length of Stay</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008800" MajorTopicYN="N" Type="Geographic">Mexico</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009765" MajorTopicYN="Y">Obesity</DescriptorName>
<QualifierName UI="Q000150" MajorTopicYN="N">complications</QualifierName>
<QualifierName UI="Q000188" MajorTopicYN="N">drug therapy</QualifierName>
<QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName>
<QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D053139" MajorTopicYN="N">Oseltamivir</DescriptorName>
<QualifierName UI="Q000008" MajorTopicYN="Y">administration & dosage</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000086402" MajorTopicYN="Y">SARS-CoV-2</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012737" MajorTopicYN="N">Sex Factors</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<CoiStatement>The authors have declared that no competing interests exist.</CoiStatement>
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<Day>16</Day>
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<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>12</Month>
<Day>17</Day>
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<affiliations><list><country><li>Mexique</li>
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<tree><country name="Mexique"><noRegion><name sortKey="Ruiz Qui Onez, Jesus Arturo" sort="Ruiz Qui Onez, Jesus Arturo" uniqKey="Ruiz Qui Onez J" first="Jesús Arturo" last="Ruíz-Qui Onez">Jesús Arturo Ruíz-Qui Onez</name>
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<name sortKey="Baeza Flores, Guadalupe Del Carmen" sort="Baeza Flores, Guadalupe Del Carmen" uniqKey="Baeza Flores G" first="Guadalupe Del Carmen" last="Baeza-Flores">Guadalupe Del Carmen Baeza-Flores</name>
<name sortKey="Denis Garcia, Carlos Alberto" sort="Denis Garcia, Carlos Alberto" uniqKey="Denis Garcia C" first="Carlos Alberto" last="Denis-García">Carlos Alberto Denis-García</name>
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<name sortKey="Gonzalez Castro, Thelma Beatriz" sort="Gonzalez Castro, Thelma Beatriz" uniqKey="Gonzalez Castro T" first="Thelma Beatriz" last="Gonzalez-Castro">Thelma Beatriz Gonzalez-Castro</name>
<name sortKey="Guzman Priego, Crystell Guadalupe" sort="Guzman Priego, Crystell Guadalupe" uniqKey="Guzman Priego C" first="Crystell Guadalupe" last="Guzmán-Priego">Crystell Guadalupe Guzmán-Priego</name>
<name sortKey="Juarez Rojop, Isela Esther" sort="Juarez Rojop, Isela Esther" uniqKey="Juarez Rojop I" first="Isela Esther" last="Juárez-Rojop">Isela Esther Juárez-Rojop</name>
<name sortKey="L Pez Brito, Carlos Ram N" sort="L Pez Brito, Carlos Ram N" uniqKey="L Pez Brito C" first="Carlos Ram N" last="L Pez-Brito">Carlos Ram N L Pez-Brito</name>
<name sortKey="Narvaez Osorio, Victor" sort="Narvaez Osorio, Victor" uniqKey="Narvaez Osorio V" first="Víctor" last="Narváez-Osorio">Víctor Narváez-Osorio</name>
<name sortKey="Nolasco Rosales, German Alberto" sort="Nolasco Rosales, German Alberto" uniqKey="Nolasco Rosales G" first="Germán Alberto" last="Nolasco-Rosales">Germán Alberto Nolasco-Rosales</name>
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{{Explor lien
   |wiki=    Sante
   |area=    CovidChloroV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:33606711
   |texte=   Features of patients that died for COVID-19 in a hospital in the south of Mexico: A observational cohort study.
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	Serveur d'exploration COVID et hydrochloroquine
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Serveur d'exploration COVID et hydrochloroquine

Features of patients that died for COVID-19 in a hospital in the south of Mexico: A observational cohort study.

Features of patients that died for COVID-19 in a hospital in the south of Mexico: A observational cohort study.

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