Stroke volume and cardiac output non-invasive monitoring based on brachial oscillometry-derived pulse contour analysis: Explanatory variables and reference intervals throughout lif...

Autores
Zócalo, Yanina; García-Espinosa, Victoria; Castro, Juan M.; Zinoveev, Agustina; Marin, Mariana; Chiesa, Pedro; Diaz, Alberto Alejandro; Bia, Daniel
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: Non-invasive assessment of stroke volume (SV), cardiac output (CO) and cardiac index (CI) has shown to be useful for the evaluation, diagnosis and/or management of different clinical conditions. Through pulse contour analysis (PCA) cuff-based oscillometric devices would enable obtaining ambulatory operator-independent non-invasive hemodynamic monitoring. There are no reference intervals (RIs), when considered as a continuum in childhood, adolescence and adult life, for PCA-derived SV [SV(PCA)], CO [CO(PCA)] and CI [CI(PCA)]. The aim of the study were to analyze the associations of SV(PCA), CO(PCA) and CI(PCA) with demographic, anthropometric, cardiovascular risk factors (CVRFs) and hemodynamic parameters, and to define RIs and percentile curves for SV(PCA), CO(PCA) and CI(PCA), considering the variables that should be considered when expressing them. Methods: In 1449 healthy subjects (3–88 years) SV(PCA), CO(PCA) and CI(PCA) were non-invasively obtained (Mobil-O-Graph; Germany). Analysis: associations between subject characteristics and SV(PCA), CO(PCA) and CI(PCA) levels (correlations; regression models); RIs and percentiles for SV(PCA), CO(PCA) and CI(PCA) (parametric methods; fractional polynomials). Results: Sex, age, and heart rate would be explanatory variables for SV, CO, and CI levels. SV levels were also examined by body height, while body surface area (BSA) contributing to evaluation of CO and CI. CVRFs exposure did not contribute to independently explain the values of the dependent variables. SV, CO and CI levels were partially explained by the oscillometric-derived signal quality. RIs and percentiles were defined. Conclusions: Reference intervals and percentile for SV(PCA), CO(PCA) and CI(PCA), were defined for subjects from 3–88 years of age, results are expressed according to sex, age, heart rate, body height and/or BSA.
Fil: Zócalo, Yanina. Universidad de la República. Facultad de Medicina; Uruguay
Fil: García-Espinosa, Victoria. Universidad de la Republica. Facultad de Medicina; Uruguay
Fil: Castro, Juan M.. Universidad de la Republica. Facultad de Medicina; Uruguay
Fil: Zinoveev, Agustina. Universidad de la Republica. Facultad de Medicina; Uruguay
Fil: Marin, Mariana. Universidad de la Republica. Facultad de Medicina; Uruguay
Fil: Chiesa, Pedro. Universidad de la Republica Facultad de Medicina; Uruguay
Fil: Diaz, Alberto Alejandro. Universidad Nacional del Centro de la Provincia de Buenos Aires. Escuela Superior de Ciencias de la Salud. Instituto de Investigación en Ciencias de la Salud; Argentina. Provincia de Buenos Aires. Municipalidad de Tandil. Hospital Municipal Ramón Santamarina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina
Fil: Bia, Daniel. Universidad de la República. Facultad de Medicina; Uruguay
Materia
ADOLESCENTS
ADULTS
CARDIAC OUTPUT
CHILDREN
PULSE CONTOUR ANALYSIS
REFERENCE INTERVALS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/155806
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/155806
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Stroke volume and cardiac output non-invasive monitoring based on brachial oscillometry-derived pulse contour analysis: Explanatory variables and reference intervals throughout life (3–88 years)Zócalo, YaninaGarcía-Espinosa, VictoriaCastro, Juan M.Zinoveev, AgustinaMarin, MarianaChiesa, PedroDiaz, Alberto AlejandroBia, DanielADOLESCENTSADULTSCARDIAC OUTPUTCHILDRENPULSE CONTOUR ANALYSISREFERENCE INTERVALShttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Background: Non-invasive assessment of stroke volume (SV), cardiac output (CO) and cardiac index (CI) has shown to be useful for the evaluation, diagnosis and/or management of different clinical conditions. Through pulse contour analysis (PCA) cuff-based oscillometric devices would enable obtaining ambulatory operator-independent non-invasive hemodynamic monitoring. There are no reference intervals (RIs), when considered as a continuum in childhood, adolescence and adult life, for PCA-derived SV [SV(PCA)], CO [CO(PCA)] and CI [CI(PCA)]. The aim of the study were to analyze the associations of SV(PCA), CO(PCA) and CI(PCA) with demographic, anthropometric, cardiovascular risk factors (CVRFs) and hemodynamic parameters, and to define RIs and percentile curves for SV(PCA), CO(PCA) and CI(PCA), considering the variables that should be considered when expressing them. Methods: In 1449 healthy subjects (3–88 years) SV(PCA), CO(PCA) and CI(PCA) were non-invasively obtained (Mobil-O-Graph; Germany). Analysis: associations between subject characteristics and SV(PCA), CO(PCA) and CI(PCA) levels (correlations; regression models); RIs and percentiles for SV(PCA), CO(PCA) and CI(PCA) (parametric methods; fractional polynomials). Results: Sex, age, and heart rate would be explanatory variables for SV, CO, and CI levels. SV levels were also examined by body height, while body surface area (BSA) contributing to evaluation of CO and CI. CVRFs exposure did not contribute to independently explain the values of the dependent variables. SV, CO and CI levels were partially explained by the oscillometric-derived signal quality. RIs and percentiles were defined. Conclusions: Reference intervals and percentile for SV(PCA), CO(PCA) and CI(PCA), were defined for subjects from 3–88 years of age, results are expressed according to sex, age, heart rate, body height and/or BSA.Fil: Zócalo, Yanina. Universidad de la República. Facultad de Medicina; UruguayFil: García-Espinosa, Victoria. Universidad de la Republica. Facultad de Medicina; UruguayFil: Castro, Juan M.. Universidad de la Republica. Facultad de Medicina; UruguayFil: Zinoveev, Agustina. Universidad de la Republica. Facultad de Medicina; UruguayFil: Marin, Mariana. Universidad de la Republica. Facultad de Medicina; UruguayFil: Chiesa, Pedro. Universidad de la Republica Facultad de Medicina; UruguayFil: Diaz, Alberto Alejandro. Universidad Nacional del Centro de la Provincia de Buenos Aires. Escuela Superior de Ciencias de la Salud. Instituto de Investigación en Ciencias de la Salud; Argentina. Provincia de Buenos Aires. Municipalidad de Tandil. Hospital Municipal Ramón Santamarina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; ArgentinaFil: Bia, Daniel. Universidad de la República. Facultad de Medicina; UruguayVia Medica2020-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/155806Zócalo, Yanina; García-Espinosa, Victoria; Castro, Juan M.; Zinoveev, Agustina; Marin, Mariana; et al.; Stroke volume and cardiac output non-invasive monitoring based on brachial oscillometry-derived pulse contour analysis: Explanatory variables and reference intervals throughout life (3–88 years); Via Medica; Cardiology Journal; 20; 10; 3-2020; 864-8781897-5593CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://journals.viamedica.pl/cardiology_journal/article/view/65002info:eu-repo/semantics/altIdentifier/doi/10.5603/CJ.a2020.0031info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:20:55Zoai:ri.conicet.gov.ar:11336/155806instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:20:56.237CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Stroke volume and cardiac output non-invasive monitoring based on brachial oscillometry-derived pulse contour analysis: Explanatory variables and reference intervals throughout life (3–88 years)
title Stroke volume and cardiac output non-invasive monitoring based on brachial oscillometry-derived pulse contour analysis: Explanatory variables and reference intervals throughout life (3–88 years)
spellingShingle Stroke volume and cardiac output non-invasive monitoring based on brachial oscillometry-derived pulse contour analysis: Explanatory variables and reference intervals throughout life (3–88 years)
Zócalo, Yanina
ADOLESCENTS
ADULTS
CARDIAC OUTPUT
CHILDREN
PULSE CONTOUR ANALYSIS
REFERENCE INTERVALS
title_short Stroke volume and cardiac output non-invasive monitoring based on brachial oscillometry-derived pulse contour analysis: Explanatory variables and reference intervals throughout life (3–88 years)
title_full Stroke volume and cardiac output non-invasive monitoring based on brachial oscillometry-derived pulse contour analysis: Explanatory variables and reference intervals throughout life (3–88 years)
title_fullStr Stroke volume and cardiac output non-invasive monitoring based on brachial oscillometry-derived pulse contour analysis: Explanatory variables and reference intervals throughout life (3–88 years)
title_full_unstemmed Stroke volume and cardiac output non-invasive monitoring based on brachial oscillometry-derived pulse contour analysis: Explanatory variables and reference intervals throughout life (3–88 years)
title_sort Stroke volume and cardiac output non-invasive monitoring based on brachial oscillometry-derived pulse contour analysis: Explanatory variables and reference intervals throughout life (3–88 years)
dc.creator.none.fl_str_mv Zócalo, Yanina
García-Espinosa, Victoria
Castro, Juan M.
Zinoveev, Agustina
Marin, Mariana
Chiesa, Pedro
Diaz, Alberto Alejandro
Bia, Daniel
author Zócalo, Yanina
author_facet Zócalo, Yanina
García-Espinosa, Victoria
Castro, Juan M.
Zinoveev, Agustina
Marin, Mariana
Chiesa, Pedro
Diaz, Alberto Alejandro
Bia, Daniel
author_role author
author2 García-Espinosa, Victoria
Castro, Juan M.
Zinoveev, Agustina
Marin, Mariana
Chiesa, Pedro
Diaz, Alberto Alejandro
Bia, Daniel
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ADOLESCENTS
ADULTS
CARDIAC OUTPUT
CHILDREN
PULSE CONTOUR ANALYSIS
REFERENCE INTERVALS
topic ADOLESCENTS
ADULTS
CARDIAC OUTPUT
CHILDREN
PULSE CONTOUR ANALYSIS
REFERENCE INTERVALS
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Background: Non-invasive assessment of stroke volume (SV), cardiac output (CO) and cardiac index (CI) has shown to be useful for the evaluation, diagnosis and/or management of different clinical conditions. Through pulse contour analysis (PCA) cuff-based oscillometric devices would enable obtaining ambulatory operator-independent non-invasive hemodynamic monitoring. There are no reference intervals (RIs), when considered as a continuum in childhood, adolescence and adult life, for PCA-derived SV [SV(PCA)], CO [CO(PCA)] and CI [CI(PCA)]. The aim of the study were to analyze the associations of SV(PCA), CO(PCA) and CI(PCA) with demographic, anthropometric, cardiovascular risk factors (CVRFs) and hemodynamic parameters, and to define RIs and percentile curves for SV(PCA), CO(PCA) and CI(PCA), considering the variables that should be considered when expressing them. Methods: In 1449 healthy subjects (3–88 years) SV(PCA), CO(PCA) and CI(PCA) were non-invasively obtained (Mobil-O-Graph; Germany). Analysis: associations between subject characteristics and SV(PCA), CO(PCA) and CI(PCA) levels (correlations; regression models); RIs and percentiles for SV(PCA), CO(PCA) and CI(PCA) (parametric methods; fractional polynomials). Results: Sex, age, and heart rate would be explanatory variables for SV, CO, and CI levels. SV levels were also examined by body height, while body surface area (BSA) contributing to evaluation of CO and CI. CVRFs exposure did not contribute to independently explain the values of the dependent variables. SV, CO and CI levels were partially explained by the oscillometric-derived signal quality. RIs and percentiles were defined. Conclusions: Reference intervals and percentile for SV(PCA), CO(PCA) and CI(PCA), were defined for subjects from 3–88 years of age, results are expressed according to sex, age, heart rate, body height and/or BSA.
Fil: Zócalo, Yanina. Universidad de la República. Facultad de Medicina; Uruguay
Fil: García-Espinosa, Victoria. Universidad de la Republica. Facultad de Medicina; Uruguay
Fil: Castro, Juan M.. Universidad de la Republica. Facultad de Medicina; Uruguay
Fil: Zinoveev, Agustina. Universidad de la Republica. Facultad de Medicina; Uruguay
Fil: Marin, Mariana. Universidad de la Republica. Facultad de Medicina; Uruguay
Fil: Chiesa, Pedro. Universidad de la Republica Facultad de Medicina; Uruguay
Fil: Diaz, Alberto Alejandro. Universidad Nacional del Centro de la Provincia de Buenos Aires. Escuela Superior de Ciencias de la Salud. Instituto de Investigación en Ciencias de la Salud; Argentina. Provincia de Buenos Aires. Municipalidad de Tandil. Hospital Municipal Ramón Santamarina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina
Fil: Bia, Daniel. Universidad de la República. Facultad de Medicina; Uruguay
description Background: Non-invasive assessment of stroke volume (SV), cardiac output (CO) and cardiac index (CI) has shown to be useful for the evaluation, diagnosis and/or management of different clinical conditions. Through pulse contour analysis (PCA) cuff-based oscillometric devices would enable obtaining ambulatory operator-independent non-invasive hemodynamic monitoring. There are no reference intervals (RIs), when considered as a continuum in childhood, adolescence and adult life, for PCA-derived SV [SV(PCA)], CO [CO(PCA)] and CI [CI(PCA)]. The aim of the study were to analyze the associations of SV(PCA), CO(PCA) and CI(PCA) with demographic, anthropometric, cardiovascular risk factors (CVRFs) and hemodynamic parameters, and to define RIs and percentile curves for SV(PCA), CO(PCA) and CI(PCA), considering the variables that should be considered when expressing them. Methods: In 1449 healthy subjects (3–88 years) SV(PCA), CO(PCA) and CI(PCA) were non-invasively obtained (Mobil-O-Graph; Germany). Analysis: associations between subject characteristics and SV(PCA), CO(PCA) and CI(PCA) levels (correlations; regression models); RIs and percentiles for SV(PCA), CO(PCA) and CI(PCA) (parametric methods; fractional polynomials). Results: Sex, age, and heart rate would be explanatory variables for SV, CO, and CI levels. SV levels were also examined by body height, while body surface area (BSA) contributing to evaluation of CO and CI. CVRFs exposure did not contribute to independently explain the values of the dependent variables. SV, CO and CI levels were partially explained by the oscillometric-derived signal quality. RIs and percentiles were defined. Conclusions: Reference intervals and percentile for SV(PCA), CO(PCA) and CI(PCA), were defined for subjects from 3–88 years of age, results are expressed according to sex, age, heart rate, body height and/or BSA.
publishDate 2020
dc.date.none.fl_str_mv 2020-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/155806
Zócalo, Yanina; García-Espinosa, Victoria; Castro, Juan M.; Zinoveev, Agustina; Marin, Mariana; et al.; Stroke volume and cardiac output non-invasive monitoring based on brachial oscillometry-derived pulse contour analysis: Explanatory variables and reference intervals throughout life (3–88 years); Via Medica; Cardiology Journal; 20; 10; 3-2020; 864-878
1897-5593
CONICET Digital
CONICET
url http://hdl.handle.net/11336/155806
identifier_str_mv Zócalo, Yanina; García-Espinosa, Victoria; Castro, Juan M.; Zinoveev, Agustina; Marin, Mariana; et al.; Stroke volume and cardiac output non-invasive monitoring based on brachial oscillometry-derived pulse contour analysis: Explanatory variables and reference intervals throughout life (3–88 years); Via Medica; Cardiology Journal; 20; 10; 3-2020; 864-878
1897-5593
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://journals.viamedica.pl/cardiology_journal/article/view/65002
info:eu-repo/semantics/altIdentifier/doi/10.5603/CJ.a2020.0031
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Via Medica
publisher.none.fl_str_mv Via Medica
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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