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Validation of SmartVA using conventional autopsy: A study of adult deaths in Brazil

BACKGROUND: Accurate cause of death data are essential to guide health policy. However, mortality surveillance is limited in many low-income countries. In such settings, verbal autopsy (VA) is increasingly used to provide population-level cause of death data. VAs are now widely interpreted using the...

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Autores principales: Hart, John D., de André, Paulo Afonso, de André, Carmen Diva Saldiva, Adair, Tim, Barroso, Lucia Pereira, Valongueiro, Sandra, Bierrenbach, Ana Luiza, de Carvalho, Patrícia Ismael, Antunes, Maria Bernadete de Cerqueira, de Oliveira, Conceição Maria, Pereira, Luiz Alberto Amador, Minto, Cátia Martinez, Bezerra, Tânia Maria da Silva, Costa, Sérgio Parente, de Azevedo, Bárbara Araújo, de Lima, José Ricardo Alves, Mota, Denise Souza de Meira, Ramos, Ana Maria de Oliveira, de Souza, Maria de Fátima Marinho, da Silva, Luiz Fernando Ferraz, França, Elisabeth Barboza, McLaughlin, Deirdre, Riley, Ian D., Saldiva, Paulo Hilário Nascimento
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904092/
https://www.ncbi.nlm.nih.gov/pubmed/36776454
http://dx.doi.org/10.1016/j.lana.2021.100081
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author Hart, John D.
de André, Paulo Afonso
de André, Carmen Diva Saldiva
Adair, Tim
Barroso, Lucia Pereira
Valongueiro, Sandra
Bierrenbach, Ana Luiza
de Carvalho, Patrícia Ismael
Antunes, Maria Bernadete de Cerqueira
de Oliveira, Conceição Maria
Pereira, Luiz Alberto Amador
Minto, Cátia Martinez
Bezerra, Tânia Maria da Silva
Costa, Sérgio Parente
de Azevedo, Bárbara Araújo
de Lima, José Ricardo Alves
Mota, Denise Souza de Meira
Ramos, Ana Maria de Oliveira
de Souza, Maria de Fátima Marinho
da Silva, Luiz Fernando Ferraz
França, Elisabeth Barboza
McLaughlin, Deirdre
Riley, Ian D.
Saldiva, Paulo Hilário Nascimento
author_facet Hart, John D.
de André, Paulo Afonso
de André, Carmen Diva Saldiva
Adair, Tim
Barroso, Lucia Pereira
Valongueiro, Sandra
Bierrenbach, Ana Luiza
de Carvalho, Patrícia Ismael
Antunes, Maria Bernadete de Cerqueira
de Oliveira, Conceição Maria
Pereira, Luiz Alberto Amador
Minto, Cátia Martinez
Bezerra, Tânia Maria da Silva
Costa, Sérgio Parente
de Azevedo, Bárbara Araújo
de Lima, José Ricardo Alves
Mota, Denise Souza de Meira
Ramos, Ana Maria de Oliveira
de Souza, Maria de Fátima Marinho
da Silva, Luiz Fernando Ferraz
França, Elisabeth Barboza
McLaughlin, Deirdre
Riley, Ian D.
Saldiva, Paulo Hilário Nascimento
author_sort Hart, John D.
collection PubMed
description BACKGROUND: Accurate cause of death data are essential to guide health policy. However, mortality surveillance is limited in many low-income countries. In such settings, verbal autopsy (VA) is increasingly used to provide population-level cause of death data. VAs are now widely interpreted using the automated algorithms SmartVA and InterVA. Here we use conventional autopsy as the gold standard to validate SmartVA methodology. METHODS: This study included adult deaths from natural causes in São Paulo and Recife for which conventional autopsy was indicated. VA was conducted with a relative of the deceased using an amended version of the SmartVA instrument to suit the local context. Causes of death from VA were produced using the SmartVA-Analyze program. Physician coded verbal autopsy (PCVA), conducted on the same questionnaires, and Global Burden of Disease Study data were used as additional comparators. Cause of death data were grouped into 10 broad causes for the validation due to the real-world utility of VA lying in identifying broad population cause of death patterns. FINDINGS: The study included 2,060 deaths in São Paulo and 1,079 in Recife. The cause specific mortality fractions (CSMFs) estimated using SmartVA were broadly similar to conventional autopsy for: cardiovascular diseases (46.8% vs 54.0%, respectively), cancers (10.6% vs 11.4%), infections (7.0% vs 10.4%) and chronic respiratory disease (4.1% vs 3.7%), causes accounting for 76.1% of the autopsy dataset. The SmartVA CSMF estimates were lower than autopsy for “Other NCDs” (7.8% vs 14.6%) and higher for diabetes (13.0% vs 6.6%). CSMF accuracy of SmartVA compared to autopsy was 84.5%. CSMF accuracy for PCVA was 93.0%. INTERPRETATION: The results suggest that SmartVA can, with reasonable accuracy, predict the broad cause of death groups important to assess a population's epidemiological transition. VA remains a useful tool for understanding causes of death where medical certification is not possible.
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spelling pubmed-99040922023-02-10 Validation of SmartVA using conventional autopsy: A study of adult deaths in Brazil Hart, John D. de André, Paulo Afonso de André, Carmen Diva Saldiva Adair, Tim Barroso, Lucia Pereira Valongueiro, Sandra Bierrenbach, Ana Luiza de Carvalho, Patrícia Ismael Antunes, Maria Bernadete de Cerqueira de Oliveira, Conceição Maria Pereira, Luiz Alberto Amador Minto, Cátia Martinez Bezerra, Tânia Maria da Silva Costa, Sérgio Parente de Azevedo, Bárbara Araújo de Lima, José Ricardo Alves Mota, Denise Souza de Meira Ramos, Ana Maria de Oliveira de Souza, Maria de Fátima Marinho da Silva, Luiz Fernando Ferraz França, Elisabeth Barboza McLaughlin, Deirdre Riley, Ian D. Saldiva, Paulo Hilário Nascimento Lancet Reg Health Am Articles BACKGROUND: Accurate cause of death data are essential to guide health policy. However, mortality surveillance is limited in many low-income countries. In such settings, verbal autopsy (VA) is increasingly used to provide population-level cause of death data. VAs are now widely interpreted using the automated algorithms SmartVA and InterVA. Here we use conventional autopsy as the gold standard to validate SmartVA methodology. METHODS: This study included adult deaths from natural causes in São Paulo and Recife for which conventional autopsy was indicated. VA was conducted with a relative of the deceased using an amended version of the SmartVA instrument to suit the local context. Causes of death from VA were produced using the SmartVA-Analyze program. Physician coded verbal autopsy (PCVA), conducted on the same questionnaires, and Global Burden of Disease Study data were used as additional comparators. Cause of death data were grouped into 10 broad causes for the validation due to the real-world utility of VA lying in identifying broad population cause of death patterns. FINDINGS: The study included 2,060 deaths in São Paulo and 1,079 in Recife. The cause specific mortality fractions (CSMFs) estimated using SmartVA were broadly similar to conventional autopsy for: cardiovascular diseases (46.8% vs 54.0%, respectively), cancers (10.6% vs 11.4%), infections (7.0% vs 10.4%) and chronic respiratory disease (4.1% vs 3.7%), causes accounting for 76.1% of the autopsy dataset. The SmartVA CSMF estimates were lower than autopsy for “Other NCDs” (7.8% vs 14.6%) and higher for diabetes (13.0% vs 6.6%). CSMF accuracy of SmartVA compared to autopsy was 84.5%. CSMF accuracy for PCVA was 93.0%. INTERPRETATION: The results suggest that SmartVA can, with reasonable accuracy, predict the broad cause of death groups important to assess a population's epidemiological transition. VA remains a useful tool for understanding causes of death where medical certification is not possible. Elsevier 2021-10-31 /pmc/articles/PMC9904092/ /pubmed/36776454 http://dx.doi.org/10.1016/j.lana.2021.100081 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Hart, John D.
de André, Paulo Afonso
de André, Carmen Diva Saldiva
Adair, Tim
Barroso, Lucia Pereira
Valongueiro, Sandra
Bierrenbach, Ana Luiza
de Carvalho, Patrícia Ismael
Antunes, Maria Bernadete de Cerqueira
de Oliveira, Conceição Maria
Pereira, Luiz Alberto Amador
Minto, Cátia Martinez
Bezerra, Tânia Maria da Silva
Costa, Sérgio Parente
de Azevedo, Bárbara Araújo
de Lima, José Ricardo Alves
Mota, Denise Souza de Meira
Ramos, Ana Maria de Oliveira
de Souza, Maria de Fátima Marinho
da Silva, Luiz Fernando Ferraz
França, Elisabeth Barboza
McLaughlin, Deirdre
Riley, Ian D.
Saldiva, Paulo Hilário Nascimento
Validation of SmartVA using conventional autopsy: A study of adult deaths in Brazil
title Validation of SmartVA using conventional autopsy: A study of adult deaths in Brazil
title_full Validation of SmartVA using conventional autopsy: A study of adult deaths in Brazil
title_fullStr Validation of SmartVA using conventional autopsy: A study of adult deaths in Brazil
title_full_unstemmed Validation of SmartVA using conventional autopsy: A study of adult deaths in Brazil
title_short Validation of SmartVA using conventional autopsy: A study of adult deaths in Brazil
title_sort validation of smartva using conventional autopsy: a study of adult deaths in brazil
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904092/
https://www.ncbi.nlm.nih.gov/pubmed/36776454
http://dx.doi.org/10.1016/j.lana.2021.100081
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