Performance of the Xpert MTB/RIF Ultra assay for determining cause of death by tuberculosis in tissue samples obtained by minimally invasive autopsies

An estimated 1.5 million deaths were attributable to TB in 2018.1 However, some uncertainty exists as to the exact global figures, given that approximately 30% of incident cases are not diagnosed, and because of the difficulties of ascertaining TB as cause of death (CoD).2 Undoubtedly, complete diag...

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Autores: García-Basteiro, Alberto L., Hurtado, Juan Carlos, Castillo, Paola, Fernandes, Fabiola, Navarro, Mireia, Lovane, Lucilia, Casas, Isaac, Quintó, Llorenç, Jordao, Dercio, Smail, Mamudo Rafik, Lorenzoni, Cesaltina, Carrilho, Carla, Sanz, Ariadna, Rakislova, Natalia, Mira, Aurea, Álvarez Martínez, Míriam, Cossa, Anelsio, Cobelens, Frank, Mandomando, Inácio, Vila Estapé, Jordi, Bassat Orellana, Quique, Menéndez, Clara, Ordi i Majà, Jaume, Martínez Yoldi, Miguel Julián
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2021
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/175296
Acceso en línea:https://hdl.handle.net/2445/175296
Access Level:acceso abierto
Palabra clave:Tuberculosi
Autòpsia
Reacció en cadena de la polimerasa
Tuberculosis
Autopsy
Polymerase chain reaction
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spelling Performance of the Xpert MTB/RIF Ultra assay for determining cause of death by tuberculosis in tissue samples obtained by minimally invasive autopsiesGarcía-Basteiro, Alberto L.Hurtado, Juan CarlosCastillo, PaolaFernandes, FabiolaNavarro, MireiaLovane, LuciliaCasas, IsaacQuintó, LlorençJordao, DercioSmail, Mamudo RafikLorenzoni, CesaltinaCarrilho, CarlaSanz, AriadnaRakislova, NataliaMira, AureaÁlvarez Martínez, MíriamCossa, AnelsioCobelens, FrankMandomando, InácioVila Estapé, JordiBassat Orellana, QuiqueMenéndez, ClaraOrdi i Majà, JaumeMartínez Yoldi, Miguel JuliánTuberculosiAutòpsiaReacció en cadena de la polimerasaTuberculosisAutopsyPolymerase chain reactionAn estimated 1.5 million deaths were attributable to TB in 2018.1 However, some uncertainty exists as to the exact global figures, given that approximately 30% of incident cases are not diagnosed, and because of the difficulties of ascertaining TB as cause of death (CoD).2 Undoubtedly, complete diagnostic autopsies (CDAs) constitute the gold standard for establishing a diagnosis of TB at death. However, CDAs are seldom performed in high-TB-burden countries because of the scarcity of trained pathologists, the time-consuming nature of the procedure, and the meager acceptability of the practice by relatives.3 In recent years, an alternative minimally invasive autopsy (MIA), a procedure well accepted by the next of kin, has been developed.4 ,5 MIA can be conducted relatively rapidly with the use of biopsy needles for sampling key organs, which leave barely visible marks, which is thus more acceptable to relatives. This method has shown good sensitivity for diagnosing TB as CoD.6 Nonetheless, MIA has thus far used standard histological and microbiological approaches for TB diagnosis (identification of granulomatous lesions, acid-fast bacilli smears, in-house polymerase chain reaction methods),7 which remain time consuming, require specific expertise, and have limited sensitivity. Thus, we evaluated the diagnostic accuracy of the molecular Xpert MTB/RIF Ultra (hereafter referred to as Xpert Ultra) assay in samples obtained by MIA to detect CoD by TB.American College of Chest Physicians2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/175296Articles publicats en revistes (Fonaments Clínics)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.1016/j.chest.2020.06.071Chest, 2021, vol. 159, num. 1, p. 103-107https://doi.org/10.1016/j.chest.2020.06.071(c) cc-by García Basteiro et. al., 2021http://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1752962026-05-27T06:46:51Z
dc.title.none.fl_str_mv Performance of the Xpert MTB/RIF Ultra assay for determining cause of death by tuberculosis in tissue samples obtained by minimally invasive autopsies
title Performance of the Xpert MTB/RIF Ultra assay for determining cause of death by tuberculosis in tissue samples obtained by minimally invasive autopsies
spellingShingle Performance of the Xpert MTB/RIF Ultra assay for determining cause of death by tuberculosis in tissue samples obtained by minimally invasive autopsies
García-Basteiro, Alberto L.
Tuberculosi
Autòpsia
Reacció en cadena de la polimerasa
Tuberculosis
Autopsy
Polymerase chain reaction
title_short Performance of the Xpert MTB/RIF Ultra assay for determining cause of death by tuberculosis in tissue samples obtained by minimally invasive autopsies
title_full Performance of the Xpert MTB/RIF Ultra assay for determining cause of death by tuberculosis in tissue samples obtained by minimally invasive autopsies
title_fullStr Performance of the Xpert MTB/RIF Ultra assay for determining cause of death by tuberculosis in tissue samples obtained by minimally invasive autopsies
title_full_unstemmed Performance of the Xpert MTB/RIF Ultra assay for determining cause of death by tuberculosis in tissue samples obtained by minimally invasive autopsies
title_sort Performance of the Xpert MTB/RIF Ultra assay for determining cause of death by tuberculosis in tissue samples obtained by minimally invasive autopsies
dc.creator.none.fl_str_mv García-Basteiro, Alberto L.
Hurtado, Juan Carlos
Castillo, Paola
Fernandes, Fabiola
Navarro, Mireia
Lovane, Lucilia
Casas, Isaac
Quintó, Llorenç
Jordao, Dercio
Smail, Mamudo Rafik
Lorenzoni, Cesaltina
Carrilho, Carla
Sanz, Ariadna
Rakislova, Natalia
Mira, Aurea
Álvarez Martínez, Míriam
Cossa, Anelsio
Cobelens, Frank
Mandomando, Inácio
Vila Estapé, Jordi
Bassat Orellana, Quique
Menéndez, Clara
Ordi i Majà, Jaume
Martínez Yoldi, Miguel Julián
author García-Basteiro, Alberto L.
author_facet García-Basteiro, Alberto L.
Hurtado, Juan Carlos
Castillo, Paola
Fernandes, Fabiola
Navarro, Mireia
Lovane, Lucilia
Casas, Isaac
Quintó, Llorenç
Jordao, Dercio
Smail, Mamudo Rafik
Lorenzoni, Cesaltina
Carrilho, Carla
Sanz, Ariadna
Rakislova, Natalia
Mira, Aurea
Álvarez Martínez, Míriam
Cossa, Anelsio
Cobelens, Frank
Mandomando, Inácio
Vila Estapé, Jordi
Bassat Orellana, Quique
Menéndez, Clara
Ordi i Majà, Jaume
Martínez Yoldi, Miguel Julián
author_role author
author2 Hurtado, Juan Carlos
Castillo, Paola
Fernandes, Fabiola
Navarro, Mireia
Lovane, Lucilia
Casas, Isaac
Quintó, Llorenç
Jordao, Dercio
Smail, Mamudo Rafik
Lorenzoni, Cesaltina
Carrilho, Carla
Sanz, Ariadna
Rakislova, Natalia
Mira, Aurea
Álvarez Martínez, Míriam
Cossa, Anelsio
Cobelens, Frank
Mandomando, Inácio
Vila Estapé, Jordi
Bassat Orellana, Quique
Menéndez, Clara
Ordi i Majà, Jaume
Martínez Yoldi, Miguel Julián
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Tuberculosi
Autòpsia
Reacció en cadena de la polimerasa
Tuberculosis
Autopsy
Polymerase chain reaction
topic Tuberculosi
Autòpsia
Reacció en cadena de la polimerasa
Tuberculosis
Autopsy
Polymerase chain reaction
description An estimated 1.5 million deaths were attributable to TB in 2018.1 However, some uncertainty exists as to the exact global figures, given that approximately 30% of incident cases are not diagnosed, and because of the difficulties of ascertaining TB as cause of death (CoD).2 Undoubtedly, complete diagnostic autopsies (CDAs) constitute the gold standard for establishing a diagnosis of TB at death. However, CDAs are seldom performed in high-TB-burden countries because of the scarcity of trained pathologists, the time-consuming nature of the procedure, and the meager acceptability of the practice by relatives.3 In recent years, an alternative minimally invasive autopsy (MIA), a procedure well accepted by the next of kin, has been developed.4 ,5 MIA can be conducted relatively rapidly with the use of biopsy needles for sampling key organs, which leave barely visible marks, which is thus more acceptable to relatives. This method has shown good sensitivity for diagnosing TB as CoD.6 Nonetheless, MIA has thus far used standard histological and microbiological approaches for TB diagnosis (identification of granulomatous lesions, acid-fast bacilli smears, in-house polymerase chain reaction methods),7 which remain time consuming, require specific expertise, and have limited sensitivity. Thus, we evaluated the diagnostic accuracy of the molecular Xpert MTB/RIF Ultra (hereafter referred to as Xpert Ultra) assay in samples obtained by MIA to detect CoD by TB.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
info:eu-repo/semantics/publishedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/175296
url https://hdl.handle.net/2445/175296
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.1016/j.chest.2020.06.071
Chest, 2021, vol. 159, num. 1, p. 103-107
https://doi.org/10.1016/j.chest.2020.06.071
dc.rights.none.fl_str_mv (c) cc-by García Basteiro et. al., 2021
http://creativecommons.org/licenses/by/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) cc-by García Basteiro et. al., 2021
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv American College of Chest Physicians
publisher.none.fl_str_mv American College of Chest Physicians
dc.source.none.fl_str_mv Articles publicats en revistes (Fonaments Clínics)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410717434642432
score 15,300724

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