Bioelectrical impedance vector analysis is different according to the comorbidity burden in post–acute myocardial infarction
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/handle/123456789/55767 http://dx.doi.org/10.1002/ncp.11074 |
Resumo: | Background: The prevalence of a high comorbidity burden in patients who suffered an acute myocardial infarction (AMI) is increasing with the aging population, and the nutrition status also may be a predictor of clinical outcomes for these patients. This study aimed to investigate the relationship between the comorbidity burden and the characteristics of the bioelectrical impedance vector analysis (BIVA) in patients post‐AMI. Methods: This prospective observational cohort study was conducted with adult patients who were hospitalized with AMI. Pre‐existing comorbidities were assessed by the Charlson comorbidity index (CCI) adjusted by age, and anthropometric and BIVA characteristics were evaluated after the hemodynamic stabilization. All patients were followed‐up until hospital discharge, and their length of stay was observed. Results: A total of 184 patients (75% were males; mean age, 60.2 ± 12.3 years) were included. The most common comorbidities were dyslipidemia (73.9%), hypertension (62%), and type 2 diabetes (34.2%). A higher CCI (≥3) was associated with sex (P = 0.008) and age (P < 0.001). Regarding BIVA, statistically significant differences were detected between sex (P < 0.001), age (P < 0.001), and CCI (P = 0.003), with longer vectors in female, older adults, and those with CCI ≥ 3. Conclusion: Finding a relationship between BIVA and CCI suggests the first identified coherent differences, potentially correlated with diseases, representing a first contribution to support this type of assessment. Therefore, with BIVA, healthcare professionals may monitor abnormalities and adopt preventive nutrition care measures on patients post‐AMI to improve their clinical status |
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Fayh, Ana Paula TrussardiLopes, Márcia Marília Gomes DantasSousa, Iasmin MatiasQueiroz, Sandra AzevedoBezerra, Mara Rubia de OliveiraGonzalez, Maria Cristina2023-12-12T00:45:53Z2023-12-12T00:45:53Z2023-09LOPES, Márcia Marília Gomes Dantas; SOUSA, Iasmin Matias; QUEIROZ, Sandra Azevedo; BEZERRA, Mara Rubia de Oliveira; GONZALEZ, Maria Cristina; FAYH, Ana Paula Trussardi. Bioelectrical impedance vector analysis is different according to the comorbidity burden in post–acute myocardial infarction. Nutrition In Clinical Practice, [S.l.], v. 22, p. 01-07, 22 set. 2023. DOI: 10.1002/ncp.11074. Disponível em: https://aspenjournals.onlinelibrary.wiley.com/doi/10.1002/ncp.11074. Acesso em: 16 nov. 2023.https://repositorio.ufrn.br/handle/123456789/55767http://dx.doi.org/10.1002/ncp.11074Nutrition In Clinical PracticeBioelectrical impedancebody compositioncharlson comorbidity indexmyocardial infarctionBioelectrical impedance vector analysis is different according to the comorbidity burden in post–acute myocardial infarctioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBackground: The prevalence of a high comorbidity burden in patients who suffered an acute myocardial infarction (AMI) is increasing with the aging population, and the nutrition status also may be a predictor of clinical outcomes for these patients. This study aimed to investigate the relationship between the comorbidity burden and the characteristics of the bioelectrical impedance vector analysis (BIVA) in patients post‐AMI. Methods: This prospective observational cohort study was conducted with adult patients who were hospitalized with AMI. Pre‐existing comorbidities were assessed by the Charlson comorbidity index (CCI) adjusted by age, and anthropometric and BIVA characteristics were evaluated after the hemodynamic stabilization. All patients were followed‐up until hospital discharge, and their length of stay was observed. Results: A total of 184 patients (75% were males; mean age, 60.2 ± 12.3 years) were included. The most common comorbidities were dyslipidemia (73.9%), hypertension (62%), and type 2 diabetes (34.2%). A higher CCI (≥3) was associated with sex (P = 0.008) and age (P < 0.001). Regarding BIVA, statistically significant differences were detected between sex (P < 0.001), age (P < 0.001), and CCI (P = 0.003), with longer vectors in female, older adults, and those with CCI ≥ 3. Conclusion: Finding a relationship between BIVA and CCI suggests the first identified coherent differences, potentially correlated with diseases, representing a first contribution to support this type of assessment. Therefore, with BIVA, healthcare professionals may monitor abnormalities and adopt preventive nutrition care measures on patients post‐AMI to improve their clinical statusengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNinfo:eu-repo/semantics/openAccessLICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/55767/2/license.txte9597aa2854d128fd968be5edc8a28d9MD52123456789/557672023-12-11 21:46:08.757oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2023-12-12T00:46:08Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
Bioelectrical impedance vector analysis is different according to the comorbidity burden in post–acute myocardial infarction |
title |
Bioelectrical impedance vector analysis is different according to the comorbidity burden in post–acute myocardial infarction |
spellingShingle |
Bioelectrical impedance vector analysis is different according to the comorbidity burden in post–acute myocardial infarction Fayh, Ana Paula Trussardi Bioelectrical impedance body composition charlson comorbidity index myocardial infarction |
title_short |
Bioelectrical impedance vector analysis is different according to the comorbidity burden in post–acute myocardial infarction |
title_full |
Bioelectrical impedance vector analysis is different according to the comorbidity burden in post–acute myocardial infarction |
title_fullStr |
Bioelectrical impedance vector analysis is different according to the comorbidity burden in post–acute myocardial infarction |
title_full_unstemmed |
Bioelectrical impedance vector analysis is different according to the comorbidity burden in post–acute myocardial infarction |
title_sort |
Bioelectrical impedance vector analysis is different according to the comorbidity burden in post–acute myocardial infarction |
author |
Fayh, Ana Paula Trussardi |
author_facet |
Fayh, Ana Paula Trussardi Lopes, Márcia Marília Gomes Dantas Sousa, Iasmin Matias Queiroz, Sandra Azevedo Bezerra, Mara Rubia de Oliveira Gonzalez, Maria Cristina |
author_role |
author |
author2 |
Lopes, Márcia Marília Gomes Dantas Sousa, Iasmin Matias Queiroz, Sandra Azevedo Bezerra, Mara Rubia de Oliveira Gonzalez, Maria Cristina |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Fayh, Ana Paula Trussardi Lopes, Márcia Marília Gomes Dantas Sousa, Iasmin Matias Queiroz, Sandra Azevedo Bezerra, Mara Rubia de Oliveira Gonzalez, Maria Cristina |
dc.subject.por.fl_str_mv |
Bioelectrical impedance body composition charlson comorbidity index myocardial infarction |
topic |
Bioelectrical impedance body composition charlson comorbidity index myocardial infarction |
description |
Background: The prevalence of a high comorbidity burden in patients who suffered an acute myocardial infarction (AMI) is increasing with the aging population, and the nutrition status also may be a predictor of clinical outcomes for these patients. This study aimed to investigate the relationship between the comorbidity burden and the characteristics of the bioelectrical impedance vector analysis (BIVA) in patients post‐AMI. Methods: This prospective observational cohort study was conducted with adult patients who were hospitalized with AMI. Pre‐existing comorbidities were assessed by the Charlson comorbidity index (CCI) adjusted by age, and anthropometric and BIVA characteristics were evaluated after the hemodynamic stabilization. All patients were followed‐up until hospital discharge, and their length of stay was observed. Results: A total of 184 patients (75% were males; mean age, 60.2 ± 12.3 years) were included. The most common comorbidities were dyslipidemia (73.9%), hypertension (62%), and type 2 diabetes (34.2%). A higher CCI (≥3) was associated with sex (P = 0.008) and age (P < 0.001). Regarding BIVA, statistically significant differences were detected between sex (P < 0.001), age (P < 0.001), and CCI (P = 0.003), with longer vectors in female, older adults, and those with CCI ≥ 3. Conclusion: Finding a relationship between BIVA and CCI suggests the first identified coherent differences, potentially correlated with diseases, representing a first contribution to support this type of assessment. Therefore, with BIVA, healthcare professionals may monitor abnormalities and adopt preventive nutrition care measures on patients post‐AMI to improve their clinical status |
publishDate |
2023 |
dc.date.accessioned.fl_str_mv |
2023-12-12T00:45:53Z |
dc.date.available.fl_str_mv |
2023-12-12T00:45:53Z |
dc.date.issued.fl_str_mv |
2023-09 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
LOPES, Márcia Marília Gomes Dantas; SOUSA, Iasmin Matias; QUEIROZ, Sandra Azevedo; BEZERRA, Mara Rubia de Oliveira; GONZALEZ, Maria Cristina; FAYH, Ana Paula Trussardi. Bioelectrical impedance vector analysis is different according to the comorbidity burden in post–acute myocardial infarction. Nutrition In Clinical Practice, [S.l.], v. 22, p. 01-07, 22 set. 2023. DOI: 10.1002/ncp.11074. Disponível em: https://aspenjournals.onlinelibrary.wiley.com/doi/10.1002/ncp.11074. Acesso em: 16 nov. 2023. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/handle/123456789/55767 |
dc.identifier.doi.none.fl_str_mv |
http://dx.doi.org/10.1002/ncp.11074 |
identifier_str_mv |
LOPES, Márcia Marília Gomes Dantas; SOUSA, Iasmin Matias; QUEIROZ, Sandra Azevedo; BEZERRA, Mara Rubia de Oliveira; GONZALEZ, Maria Cristina; FAYH, Ana Paula Trussardi. Bioelectrical impedance vector analysis is different according to the comorbidity burden in post–acute myocardial infarction. Nutrition In Clinical Practice, [S.l.], v. 22, p. 01-07, 22 set. 2023. DOI: 10.1002/ncp.11074. Disponível em: https://aspenjournals.onlinelibrary.wiley.com/doi/10.1002/ncp.11074. Acesso em: 16 nov. 2023. |
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https://repositorio.ufrn.br/handle/123456789/55767 http://dx.doi.org/10.1002/ncp.11074 |
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eng |
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eng |
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Nutrition In Clinical Practice |
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Nutrition In Clinical Practice |
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