High prevalence and heterogeneity of Dysglycemia in patients with tuberculosis from Peru: A prospective cohort study
Descripción del Articulo
This work was mainly supported by the Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica (CONCYTEC-Peru) / Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (FONDECYT, Convenio 175–2015). The work from BBA was supported by intramural research program from...
Autores: | , , , , , , , , |
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Formato: | artículo |
Fecha de Publicación: | 2019 |
Institución: | Consejo Nacional de Ciencia Tecnología e Innovación |
Repositorio: | CONCYTEC-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.concytec.gob.pe:20.500.12390/2299 |
Enlace del recurso: | https://hdl.handle.net/20.500.12390/2299 https://doi.org/10.1186/s12879-019-4416-2 |
Nivel de acceso: | acceso abierto |
Materia: | Tuberculosis Comorbidity Diabetes mellitus Prediabetes Prevalence http://purl.org/pe-repo/ocde/ford#3.02.27 |
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CONC |
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CONCYTEC-Institucional |
repository_id_str |
4689 |
dc.title.none.fl_str_mv |
High prevalence and heterogeneity of Dysglycemia in patients with tuberculosis from Peru: A prospective cohort study |
title |
High prevalence and heterogeneity of Dysglycemia in patients with tuberculosis from Peru: A prospective cohort study |
spellingShingle |
High prevalence and heterogeneity of Dysglycemia in patients with tuberculosis from Peru: A prospective cohort study Calderon R.I. Tuberculosis Comorbidity Diabetes mellitus Prediabetes Prevalence http://purl.org/pe-repo/ocde/ford#3.02.27 |
title_short |
High prevalence and heterogeneity of Dysglycemia in patients with tuberculosis from Peru: A prospective cohort study |
title_full |
High prevalence and heterogeneity of Dysglycemia in patients with tuberculosis from Peru: A prospective cohort study |
title_fullStr |
High prevalence and heterogeneity of Dysglycemia in patients with tuberculosis from Peru: A prospective cohort study |
title_full_unstemmed |
High prevalence and heterogeneity of Dysglycemia in patients with tuberculosis from Peru: A prospective cohort study |
title_sort |
High prevalence and heterogeneity of Dysglycemia in patients with tuberculosis from Peru: A prospective cohort study |
author |
Calderon R.I. |
author_facet |
Calderon R.I. Arriaga M.B. Lopez K. Barreda N.N. Sanabria O.M. Fróes Neto J.F. Araújo D.N. Lecca L. Andrade B.B. |
author_role |
author |
author2 |
Arriaga M.B. Lopez K. Barreda N.N. Sanabria O.M. Fróes Neto J.F. Araújo D.N. Lecca L. Andrade B.B. |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Calderon R.I. Arriaga M.B. Lopez K. Barreda N.N. Sanabria O.M. Fróes Neto J.F. Araújo D.N. Lecca L. Andrade B.B. |
dc.subject.none.fl_str_mv |
Tuberculosis |
topic |
Tuberculosis Comorbidity Diabetes mellitus Prediabetes Prevalence http://purl.org/pe-repo/ocde/ford#3.02.27 |
dc.subject.es_PE.fl_str_mv |
Comorbidity Diabetes mellitus Prediabetes Prevalence |
dc.subject.ocde.none.fl_str_mv |
http://purl.org/pe-repo/ocde/ford#3.02.27 |
description |
This work was mainly supported by the Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica (CONCYTEC-Peru) / Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (FONDECYT, Convenio 175–2015). The work from BBA was supported by intramural research program from FIOCRUZ, by the National Institutes of Health (U01AI115940 and U01AI069923) and by the Departamento de Ciência e Tecnologia (DECIT) - Secretaria de Ciência e Tecnologia (SCTIE) – Ministério da Saúde (MS), Brazil (25029.000507/2013–07). MBA receives a fellowship from the Fundaçăo de Amparo à Pesquisa da Bahia (FAPESB). BBA is a senior scientist from the Conselho Nacional de Desenvolvimento Científico e Tecnológico. The funders had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript. |
publishDate |
2019 |
dc.date.accessioned.none.fl_str_mv |
2024-05-30T23:13:38Z |
dc.date.available.none.fl_str_mv |
2024-05-30T23:13:38Z |
dc.date.issued.fl_str_mv |
2019 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12390/2299 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1186/s12879-019-4416-2 |
dc.identifier.scopus.none.fl_str_mv |
2-s2.0-85072099319 |
url |
https://hdl.handle.net/20.500.12390/2299 https://doi.org/10.1186/s12879-019-4416-2 |
identifier_str_mv |
2-s2.0-85072099319 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
BMC Infectious Diseases |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.none.fl_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.publisher.none.fl_str_mv |
BioMed Central Ltd. |
publisher.none.fl_str_mv |
BioMed Central Ltd. |
dc.source.none.fl_str_mv |
reponame:CONCYTEC-Institucional instname:Consejo Nacional de Ciencia Tecnología e Innovación instacron:CONCYTEC |
instname_str |
Consejo Nacional de Ciencia Tecnología e Innovación |
instacron_str |
CONCYTEC |
institution |
CONCYTEC |
reponame_str |
CONCYTEC-Institucional |
collection |
CONCYTEC-Institucional |
repository.name.fl_str_mv |
Repositorio Institucional CONCYTEC |
repository.mail.fl_str_mv |
repositorio@concytec.gob.pe |
_version_ |
1839175514696187904 |
spelling |
Publicationrp05447600rp05443600rp05444600rp05446600rp05442600rp05449600rp05450600rp05445600rp05448600Calderon R.I.Arriaga M.B.Lopez K.Barreda N.N.Sanabria O.M.Fróes Neto J.F.Araújo D.N.Lecca L.Andrade B.B.2024-05-30T23:13:38Z2024-05-30T23:13:38Z2019https://hdl.handle.net/20.500.12390/2299https://doi.org/10.1186/s12879-019-4416-22-s2.0-85072099319This work was mainly supported by the Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica (CONCYTEC-Peru) / Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (FONDECYT, Convenio 175–2015). The work from BBA was supported by intramural research program from FIOCRUZ, by the National Institutes of Health (U01AI115940 and U01AI069923) and by the Departamento de Ciência e Tecnologia (DECIT) - Secretaria de Ciência e Tecnologia (SCTIE) – Ministério da Saúde (MS), Brazil (25029.000507/2013–07). MBA receives a fellowship from the Fundaçăo de Amparo à Pesquisa da Bahia (FAPESB). BBA is a senior scientist from the Conselho Nacional de Desenvolvimento Científico e Tecnológico. The funders had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.Background: The accuracy of different laboratory tests for diagnosis of diabetes mellitus (DM) and prediabetes (preDM) in populations exposed to tuberculosis (TB) remains poorly understood. Here, we examined the prevalence of DM and preDM in TB affected people in Lima, Peru. Methods: A prospective cohort study of patients affected TB and their household contacts (HHC), was conducted between February and November 2017 in Lima, Peru. Fasting plasma glucose (FPG), HbA1c and oral glucose tolerance test (OGTT) were used to detect DM and preDM in a prospective cohort of TB patients (n = 136) and household contacts (n = 138). Diagnostic performance of the laboratory tests was analyzed. Potential effects of sociodemographic and clinical factors on detection of dysglycemia were analyzed. Results: In TB patients, prevalence of DM and preDM was 13.97 and 30.88% respectively. Lower prevalence of both DM (6.52%) and preDM (28.99%) were observed in contacts. FPG, HbA1c and OGTT had poor agreement in detection of preDM in either TB cases or contacts. TB-DM patients had substantially lower hemoglobin levels, which resulted in low accuracy of HbA1c-based diagnosis. Classic sociodemographic and clinical characteristics were not different between TB patients with or without dysglycemia. Conclusion: High prevalence of DM and preDM was found in both TB patients and contacts in Lima. Anemia was strongly associated with TB-DM, which directly affected the diagnostic performance of HbA1c in such population. © 2019 The Author(s).Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengBioMed Central Ltd.BMC Infectious Diseasesinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/TuberculosisComorbidity-1Diabetes mellitus-1Prediabetes-1Prevalence-1http://purl.org/pe-repo/ocde/ford#3.02.27-1High prevalence and heterogeneity of Dysglycemia in patients with tuberculosis from Peru: A prospective cohort studyinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/2299oai:repositorio.concytec.gob.pe:20.500.12390/22992024-05-30 16:07:00.4https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="4207df89-e362-466e-9420-a5af96ba1399"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>High prevalence and heterogeneity of Dysglycemia in patients with tuberculosis from Peru: A prospective cohort study</Title> <PublishedIn> <Publication> <Title>BMC Infectious Diseases</Title> </Publication> </PublishedIn> <PublicationDate>2019</PublicationDate> <DOI>https://doi.org/10.1186/s12879-019-4416-2</DOI> <SCP-Number>2-s2.0-85072099319</SCP-Number> <Authors> <Author> <DisplayName>Calderon R.I.</DisplayName> <Person id="rp05447" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Arriaga M.B.</DisplayName> <Person id="rp05443" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Lopez K.</DisplayName> <Person id="rp05444" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Barreda N.N.</DisplayName> <Person id="rp05446" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Sanabria O.M.</DisplayName> <Person id="rp05442" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Fróes Neto J.F.</DisplayName> <Person id="rp05449" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Araújo D.N.</DisplayName> <Person id="rp05450" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Lecca L.</DisplayName> <Person id="rp05445" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Andrade B.B.</DisplayName> <Person id="rp05448" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>BioMed Central Ltd.</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>https://creativecommons.org/licenses/by-nc-nd/4.0/</License> <Keyword>Tuberculosis</Keyword> <Keyword>Comorbidity</Keyword> <Keyword>Diabetes mellitus</Keyword> <Keyword>Prediabetes</Keyword> <Keyword>Prevalence</Keyword> <Abstract>Background: The accuracy of different laboratory tests for diagnosis of diabetes mellitus (DM) and prediabetes (preDM) in populations exposed to tuberculosis (TB) remains poorly understood. Here, we examined the prevalence of DM and preDM in TB affected people in Lima, Peru. Methods: A prospective cohort study of patients affected TB and their household contacts (HHC), was conducted between February and November 2017 in Lima, Peru. Fasting plasma glucose (FPG), HbA1c and oral glucose tolerance test (OGTT) were used to detect DM and preDM in a prospective cohort of TB patients (n = 136) and household contacts (n = 138). Diagnostic performance of the laboratory tests was analyzed. Potential effects of sociodemographic and clinical factors on detection of dysglycemia were analyzed. Results: In TB patients, prevalence of DM and preDM was 13.97 and 30.88% respectively. Lower prevalence of both DM (6.52%) and preDM (28.99%) were observed in contacts. FPG, HbA1c and OGTT had poor agreement in detection of preDM in either TB cases or contacts. TB-DM patients had substantially lower hemoglobin levels, which resulted in low accuracy of HbA1c-based diagnosis. Classic sociodemographic and clinical characteristics were not different between TB patients with or without dysglycemia. Conclusion: High prevalence of DM and preDM was found in both TB patients and contacts in Lima. Anemia was strongly associated with TB-DM, which directly affected the diagnostic performance of HbA1c in such population. © 2019 The Author(s).</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1 |
score |
13.439043 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).