Lipid accumulation product: a powerful marker of metabolic syndrome in healthy population
- Autores
- Taverna, Mariano Javier; Martínez Larrad, María T.; Frechtel, Gustavo D.; Serrano Ríos, Manuel
- Año de publicación
- 2011
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Objective: The metabolic syndrome (MS) is a cluster of cardiometabolic factors which predisposes to diabetes and cardiovascular disease (CVD). Early detection of high-risk individuals for MS using accurate measures of insulin resistance (IR) could improve detection and prevention of CVD and diabetes. The aim of this study was to explore the ability of LAP (lipid accumulation product), compared to traditional measures of IR, to identify MS. Design: 768 Spanish adults were recruited. MS was assessed using the revised criteria of NCEP/ATP III (National Cholesterol Education Program/Adult Treatment Panel III) and IDF (International Diabetes Federation). Measures of IR such as HOMA-IR and LAP, an index of lipid accumulation based on a combination of waist circumference and serum triglycerides, were calculated. ROC analysis was performed in order to detect the parameter with the best predictive capability for MS. Results: The prevalence of MS-NCEP/ATPIII and MS-IDF was 15.1 and 20.5% for men, respectively, and 15.4 and 17.5% for women. LAP showed the highest diagnostic accuracy for MS-NCEP/ATPIII (AUC 0.91 and 0.90 among males and females) and MS-IDF (0.88 for both males and females). This was confirmed by internal validation using 20,000 bootstrap samples. Among males and females, different LAP cutoff values exhibited high sensitivity (78-85%) and specificity (78-81%) for MS-NCEP/ATPIII and MS-IDF prediction with elevated efficiency (proportion of positives and negatives classified correctly by the test = 78-85%). Conclusions: LAP has a strong and reliable diagnostic accuracy for MS-IDF and, especially, MS-NCEP/ATPIII among nondiabetic adult females and, in particular, among males from Spain.
Fil: Taverna, Mariano Javier. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Estudios de la Inmunidad Humoral "Profesor R. A. Margni"; Argentina. Universidad de Buenos Aires. Facultad de Medicina. Hospital de Clínicas General San Martín; Argentina. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica; Argentina
Fil: Martínez Larrad, María T.. Hospital Clínico San Carlos; España
Fil: Frechtel, Gustavo D.. Universidad de Buenos Aires. Facultad de Medicina. Hospital de Clínicas General San Martín; Argentina. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica; Argentina
Fil: Serrano Ríos, Manuel. Hospital Clínico San Carlos; España - Materia
-
Metabolic Syndrome
Insulin Resistance
Lipid Accumulation Product
Waist Circumference
Central Obesity - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/13922
Ver los metadatos del registro completo
id |
CONICETDig_468d5b49bd1747075301385d1a617401 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/13922 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Lipid accumulation product: a powerful marker of metabolic syndrome in healthy populationTaverna, Mariano JavierMartínez Larrad, María T.Frechtel, Gustavo D.Serrano Ríos, ManuelMetabolic SyndromeInsulin ResistanceLipid Accumulation ProductWaist CircumferenceCentral Obesityhttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Objective: The metabolic syndrome (MS) is a cluster of cardiometabolic factors which predisposes to diabetes and cardiovascular disease (CVD). Early detection of high-risk individuals for MS using accurate measures of insulin resistance (IR) could improve detection and prevention of CVD and diabetes. The aim of this study was to explore the ability of LAP (lipid accumulation product), compared to traditional measures of IR, to identify MS. Design: 768 Spanish adults were recruited. MS was assessed using the revised criteria of NCEP/ATP III (National Cholesterol Education Program/Adult Treatment Panel III) and IDF (International Diabetes Federation). Measures of IR such as HOMA-IR and LAP, an index of lipid accumulation based on a combination of waist circumference and serum triglycerides, were calculated. ROC analysis was performed in order to detect the parameter with the best predictive capability for MS. Results: The prevalence of MS-NCEP/ATPIII and MS-IDF was 15.1 and 20.5% for men, respectively, and 15.4 and 17.5% for women. LAP showed the highest diagnostic accuracy for MS-NCEP/ATPIII (AUC 0.91 and 0.90 among males and females) and MS-IDF (0.88 for both males and females). This was confirmed by internal validation using 20,000 bootstrap samples. Among males and females, different LAP cutoff values exhibited high sensitivity (78-85%) and specificity (78-81%) for MS-NCEP/ATPIII and MS-IDF prediction with elevated efficiency (proportion of positives and negatives classified correctly by the test = 78-85%). Conclusions: LAP has a strong and reliable diagnostic accuracy for MS-IDF and, especially, MS-NCEP/ATPIII among nondiabetic adult females and, in particular, among males from Spain.Fil: Taverna, Mariano Javier. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Estudios de la Inmunidad Humoral "Profesor R. A. Margni"; Argentina. Universidad de Buenos Aires. Facultad de Medicina. Hospital de Clínicas General San Martín; Argentina. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica; ArgentinaFil: Martínez Larrad, María T.. Hospital Clínico San Carlos; EspañaFil: Frechtel, Gustavo D.. Universidad de Buenos Aires. Facultad de Medicina. Hospital de Clínicas General San Martín; Argentina. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica; ArgentinaFil: Serrano Ríos, Manuel. Hospital Clínico San Carlos; EspañaBioScientifica2011-04info: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/11336/13922Taverna, Mariano Javier; Martínez Larrad, María T.; Frechtel, Gustavo D.; Serrano Ríos, Manuel; Lipid accumulation product: a powerful marker of metabolic syndrome in healthy population; BioScientifica; European Journal of Endocrinology; 164; 4; 4-2011; 559-5670804-4643enginfo:eu-repo/semantics/altIdentifier/url/http://www.eje-online.org/content/164/4/559info:eu-repo/semantics/altIdentifier/doi/10.1530/EJE-10-1039info:eu-repo/semantics/altIdentifier/url/http://www.eje-online.org/content/164/4/559.full.pdf+htmlinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:23:58Zoai:ri.conicet.gov.ar:11336/13922instacron: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:34982025-09-29 10:23:58.882CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Lipid accumulation product: a powerful marker of metabolic syndrome in healthy population |
title |
Lipid accumulation product: a powerful marker of metabolic syndrome in healthy population |
spellingShingle |
Lipid accumulation product: a powerful marker of metabolic syndrome in healthy population Taverna, Mariano Javier Metabolic Syndrome Insulin Resistance Lipid Accumulation Product Waist Circumference Central Obesity |
title_short |
Lipid accumulation product: a powerful marker of metabolic syndrome in healthy population |
title_full |
Lipid accumulation product: a powerful marker of metabolic syndrome in healthy population |
title_fullStr |
Lipid accumulation product: a powerful marker of metabolic syndrome in healthy population |
title_full_unstemmed |
Lipid accumulation product: a powerful marker of metabolic syndrome in healthy population |
title_sort |
Lipid accumulation product: a powerful marker of metabolic syndrome in healthy population |
dc.creator.none.fl_str_mv |
Taverna, Mariano Javier Martínez Larrad, María T. Frechtel, Gustavo D. Serrano Ríos, Manuel |
author |
Taverna, Mariano Javier |
author_facet |
Taverna, Mariano Javier Martínez Larrad, María T. Frechtel, Gustavo D. Serrano Ríos, Manuel |
author_role |
author |
author2 |
Martínez Larrad, María T. Frechtel, Gustavo D. Serrano Ríos, Manuel |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Metabolic Syndrome Insulin Resistance Lipid Accumulation Product Waist Circumference Central Obesity |
topic |
Metabolic Syndrome Insulin Resistance Lipid Accumulation Product Waist Circumference Central Obesity |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.2 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
Objective: The metabolic syndrome (MS) is a cluster of cardiometabolic factors which predisposes to diabetes and cardiovascular disease (CVD). Early detection of high-risk individuals for MS using accurate measures of insulin resistance (IR) could improve detection and prevention of CVD and diabetes. The aim of this study was to explore the ability of LAP (lipid accumulation product), compared to traditional measures of IR, to identify MS. Design: 768 Spanish adults were recruited. MS was assessed using the revised criteria of NCEP/ATP III (National Cholesterol Education Program/Adult Treatment Panel III) and IDF (International Diabetes Federation). Measures of IR such as HOMA-IR and LAP, an index of lipid accumulation based on a combination of waist circumference and serum triglycerides, were calculated. ROC analysis was performed in order to detect the parameter with the best predictive capability for MS. Results: The prevalence of MS-NCEP/ATPIII and MS-IDF was 15.1 and 20.5% for men, respectively, and 15.4 and 17.5% for women. LAP showed the highest diagnostic accuracy for MS-NCEP/ATPIII (AUC 0.91 and 0.90 among males and females) and MS-IDF (0.88 for both males and females). This was confirmed by internal validation using 20,000 bootstrap samples. Among males and females, different LAP cutoff values exhibited high sensitivity (78-85%) and specificity (78-81%) for MS-NCEP/ATPIII and MS-IDF prediction with elevated efficiency (proportion of positives and negatives classified correctly by the test = 78-85%). Conclusions: LAP has a strong and reliable diagnostic accuracy for MS-IDF and, especially, MS-NCEP/ATPIII among nondiabetic adult females and, in particular, among males from Spain. Fil: Taverna, Mariano Javier. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Estudios de la Inmunidad Humoral "Profesor R. A. Margni"; Argentina. Universidad de Buenos Aires. Facultad de Medicina. Hospital de Clínicas General San Martín; Argentina. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica; Argentina Fil: Martínez Larrad, María T.. Hospital Clínico San Carlos; España Fil: Frechtel, Gustavo D.. Universidad de Buenos Aires. Facultad de Medicina. Hospital de Clínicas General San Martín; Argentina. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica; Argentina Fil: Serrano Ríos, Manuel. Hospital Clínico San Carlos; España |
description |
Objective: The metabolic syndrome (MS) is a cluster of cardiometabolic factors which predisposes to diabetes and cardiovascular disease (CVD). Early detection of high-risk individuals for MS using accurate measures of insulin resistance (IR) could improve detection and prevention of CVD and diabetes. The aim of this study was to explore the ability of LAP (lipid accumulation product), compared to traditional measures of IR, to identify MS. Design: 768 Spanish adults were recruited. MS was assessed using the revised criteria of NCEP/ATP III (National Cholesterol Education Program/Adult Treatment Panel III) and IDF (International Diabetes Federation). Measures of IR such as HOMA-IR and LAP, an index of lipid accumulation based on a combination of waist circumference and serum triglycerides, were calculated. ROC analysis was performed in order to detect the parameter with the best predictive capability for MS. Results: The prevalence of MS-NCEP/ATPIII and MS-IDF was 15.1 and 20.5% for men, respectively, and 15.4 and 17.5% for women. LAP showed the highest diagnostic accuracy for MS-NCEP/ATPIII (AUC 0.91 and 0.90 among males and females) and MS-IDF (0.88 for both males and females). This was confirmed by internal validation using 20,000 bootstrap samples. Among males and females, different LAP cutoff values exhibited high sensitivity (78-85%) and specificity (78-81%) for MS-NCEP/ATPIII and MS-IDF prediction with elevated efficiency (proportion of positives and negatives classified correctly by the test = 78-85%). Conclusions: LAP has a strong and reliable diagnostic accuracy for MS-IDF and, especially, MS-NCEP/ATPIII among nondiabetic adult females and, in particular, among males from Spain. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-04 |
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/11336/13922 Taverna, Mariano Javier; Martínez Larrad, María T.; Frechtel, Gustavo D.; Serrano Ríos, Manuel; Lipid accumulation product: a powerful marker of metabolic syndrome in healthy population; BioScientifica; European Journal of Endocrinology; 164; 4; 4-2011; 559-567 0804-4643 |
url |
http://hdl.handle.net/11336/13922 |
identifier_str_mv |
Taverna, Mariano Javier; Martínez Larrad, María T.; Frechtel, Gustavo D.; Serrano Ríos, Manuel; Lipid accumulation product: a powerful marker of metabolic syndrome in healthy population; BioScientifica; European Journal of Endocrinology; 164; 4; 4-2011; 559-567 0804-4643 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.eje-online.org/content/164/4/559 info:eu-repo/semantics/altIdentifier/doi/10.1530/EJE-10-1039 info:eu-repo/semantics/altIdentifier/url/http://www.eje-online.org/content/164/4/559.full.pdf+html |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
BioScientifica |
publisher.none.fl_str_mv |
BioScientifica |
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 |
_version_ |
1844614236069691392 |
score |
13.070432 |