Derivation and validation of an equation to determine cholesterol-low density lipoproteins in a population of Lima, Peru

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Introduction: Various studies have shown a strong association between the increase in cholesterol low density lipoproteins (LDLc) serum concentration and the incidence of coronary heart disease. Objectives: To derive and validate the performance of a new equation to estimate the LDLc. Design: Observ...

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Autores: Saldaña Orejón, Italo Moisés, Benites Ricra, Miguel Ángel, Chipana Huallpa, Justhin Andrés
Formato: artículo
Fecha de Publicación:2017
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/13020
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/anales/article/view/13020
Nivel de acceso:acceso abierto
Materia:Low Density Lipoproteins
Coronary Heart Disease
Dyslipidemias.
Lipoproteínas de Baja Densidad
Enfermedad Coronaria
Dislipidemias.
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dc.title.none.fl_str_mv Derivation and validation of an equation to determine cholesterol-low density lipoproteins in a population of Lima, Peru
Derivación y validación de una ecuación para estimar el colesterol ligado a lipoproteínas de baja densidad en una población de Lima, Perú
title Derivation and validation of an equation to determine cholesterol-low density lipoproteins in a population of Lima, Peru
spellingShingle Derivation and validation of an equation to determine cholesterol-low density lipoproteins in a population of Lima, Peru
Saldaña Orejón, Italo Moisés
Low Density Lipoproteins
Coronary Heart Disease
Dyslipidemias.
Lipoproteínas de Baja Densidad
Enfermedad Coronaria
Dislipidemias.
title_short Derivation and validation of an equation to determine cholesterol-low density lipoproteins in a population of Lima, Peru
title_full Derivation and validation of an equation to determine cholesterol-low density lipoproteins in a population of Lima, Peru
title_fullStr Derivation and validation of an equation to determine cholesterol-low density lipoproteins in a population of Lima, Peru
title_full_unstemmed Derivation and validation of an equation to determine cholesterol-low density lipoproteins in a population of Lima, Peru
title_sort Derivation and validation of an equation to determine cholesterol-low density lipoproteins in a population of Lima, Peru
dc.creator.none.fl_str_mv Saldaña Orejón, Italo Moisés
Benites Ricra, Miguel Ángel
Chipana Huallpa, Justhin Andrés
author Saldaña Orejón, Italo Moisés
author_facet Saldaña Orejón, Italo Moisés
Benites Ricra, Miguel Ángel
Chipana Huallpa, Justhin Andrés
author_role author
author2 Benites Ricra, Miguel Ángel
Chipana Huallpa, Justhin Andrés
author2_role author
author
dc.subject.none.fl_str_mv Low Density Lipoproteins
Coronary Heart Disease
Dyslipidemias.
Lipoproteínas de Baja Densidad
Enfermedad Coronaria
Dislipidemias.
topic Low Density Lipoproteins
Coronary Heart Disease
Dyslipidemias.
Lipoproteínas de Baja Densidad
Enfermedad Coronaria
Dislipidemias.
description Introduction: Various studies have shown a strong association between the increase in cholesterol low density lipoproteins (LDLc) serum concentration and the incidence of coronary heart disease. Objectives: To derive and validate the performance of a new equation to estimate the LDLc. Design: Observational and descriptive study. Institution: Hospital Edgardo Rebagliati Martins, Lima, Peru. Material: 4 644 lipid profile reports taken from the files of the hospital’s central laboratory, belonging to subjects of bot. sexes, between 18 and 75 years old. Interventions: The sample consisted of 4 644 lipid profile reports obtained from the files of the hospital’s central laboratory, and belonged to subjects of both sexes aged 18-75 years. It was divided into two groups: the first group was represented by 2 136 reports, and was used to derive the equation to estimate the LDLc by using multiple regression analysis; the second group comprised 2 508 reports that served to validate the performance of the new equation compared with the LDLc measurement by the homogeneous direct method and estimated by the Friedewald formula. Main outcome measure: LDLc serum concentration. Results: The Friedewald formula and the new equation underestimated the LDLc with a shortfall of 14.01 mg/dL and 5.52 mg/dL, respectively, with regard to the direct method. Systematic errors in the three clinical decision levels for LDL cholesterol were found to be higher for the Friedewald formula (12.6%, 12.0 %, and 11.7%) compared to the new equation (4.2%, 5.7% and 6.7%). The bias correction factor, which assessed accuracy, turned out to be higher and closer to the line of perfect match for the new equation, both in the whole sample and when the entire sample was stratified by levels of triglycerides. Conclusions: The new equation provided greater accuracy and lower analytical error compared to the Friedewald formula to estimate the LDL cholesterol in the three clinical decision levels and with different values of serum triglycerides.
publishDate 2017
dc.date.none.fl_str_mv 2017-05-16
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/anales/article/view/13020
10.15381/anales.v78i1.13020
url https://revistasinvestigacion.unmsm.edu.pe/index.php/anales/article/view/13020
identifier_str_mv 10.15381/anales.v78i1.13020
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/anales/article/view/13020/11729
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Universidad Nacional Mayor de San Marcos, Facultad de Medicina Humana
publisher.none.fl_str_mv Universidad Nacional Mayor de San Marcos, Facultad de Medicina Humana
dc.source.none.fl_str_mv Anales de la Facultad de Medicina; Vol. 78 No. 1 (2017); 41-48
Anales de la Facultad de Medicina; Vol. 78 Núm. 1 (2017); 41-48
1609-9419
1025-5583
reponame:Revistas - Universidad Nacional Mayor de San Marcos
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instacron_str UNMSM
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reponame_str Revistas - Universidad Nacional Mayor de San Marcos
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spelling Derivation and validation of an equation to determine cholesterol-low density lipoproteins in a population of Lima, PeruDerivación y validación de una ecuación para estimar el colesterol ligado a lipoproteínas de baja densidad en una población de Lima, PerúSaldaña Orejón, Italo MoisésBenites Ricra, Miguel ÁngelChipana Huallpa, Justhin AndrésLow Density LipoproteinsCoronary Heart DiseaseDyslipidemias.Lipoproteínas de Baja DensidadEnfermedad CoronariaDislipidemias.Introduction: Various studies have shown a strong association between the increase in cholesterol low density lipoproteins (LDLc) serum concentration and the incidence of coronary heart disease. Objectives: To derive and validate the performance of a new equation to estimate the LDLc. Design: Observational and descriptive study. Institution: Hospital Edgardo Rebagliati Martins, Lima, Peru. Material: 4 644 lipid profile reports taken from the files of the hospital’s central laboratory, belonging to subjects of bot. sexes, between 18 and 75 years old. Interventions: The sample consisted of 4 644 lipid profile reports obtained from the files of the hospital’s central laboratory, and belonged to subjects of both sexes aged 18-75 years. It was divided into two groups: the first group was represented by 2 136 reports, and was used to derive the equation to estimate the LDLc by using multiple regression analysis; the second group comprised 2 508 reports that served to validate the performance of the new equation compared with the LDLc measurement by the homogeneous direct method and estimated by the Friedewald formula. Main outcome measure: LDLc serum concentration. Results: The Friedewald formula and the new equation underestimated the LDLc with a shortfall of 14.01 mg/dL and 5.52 mg/dL, respectively, with regard to the direct method. Systematic errors in the three clinical decision levels for LDL cholesterol were found to be higher for the Friedewald formula (12.6%, 12.0 %, and 11.7%) compared to the new equation (4.2%, 5.7% and 6.7%). The bias correction factor, which assessed accuracy, turned out to be higher and closer to the line of perfect match for the new equation, both in the whole sample and when the entire sample was stratified by levels of triglycerides. Conclusions: The new equation provided greater accuracy and lower analytical error compared to the Friedewald formula to estimate the LDL cholesterol in the three clinical decision levels and with different values of serum triglycerides.Introducción. Numerosos estudios han demostrado una fuerte asociación entre el aumento de la concentración sérica del colesterol de las lipoproteínas de baja densidad (LDLc) y la incidencia de la enfermedad coronaria (EC). Objetivos. Derivar y validar la performance de una nueva ecuación para estimar el LDLc. Diseño. Estudio observacional y descriptivo. Institución. Hospital Edgardo Rebagliati Martins, Lima, Perú. Material. Informes de perfil lipídico. Intervenciones. La muestra de 4 644 informes de perfil lipídico extraídos de los archivos del laboratorio central, correspondiente a sujetos de ambos sexos, que presentaban edades entre 18 a 75 años, fue repartida en dos grupos. Del primer grupo conformado por 2 136 informes se derivó la ecuación para estimar el LDLc, mediante análisis de regresión múltiple. El segundo grupo conformado por 2 508 informes sirvieron para validar la performance de la nueva ecuación mediante la comparación con la medida del LDLc por el método directo homogéneo y estimado por la fórmula de Friedewald. Principal medida de resultados. Concentración sérica del LDLc. Resultados. La fórmula de Friedewald y la nueva ecuación infraestimaron el LDLc, obteniéndose sesgos de 14,01 mg/dL y 5,52 mg/dL, respectivamente, con respecto al método directo. Los errores sistemáticos en los tres niveles de decisión clínica para el LDLc resultaron ser mayores para la fórmula de Friedewald (12,6%, 12,0% y 11,7%) comparados a la nueva ecuación (4,2%, 5,7% y 6,7%). El factor de corrección de sesgo, que valora la exactitud, resultó ser más alto y más cerca de la línea de perfecta concordancia para la nueva ecuación, en toda la muestra y cuando esta se estratificó por niveles de triglicéridos. Conclusiones. La nueva ecuación ofrece una mayor exactitud y bajo error analítico comparada a la fórmula de Friedewald para estimar el LDLc, en los tres niveles de decisión clínica y en sueros con diferentes valores de triglicéridos.Universidad Nacional Mayor de San Marcos, Facultad de Medicina Humana2017-05-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/anales/article/view/1302010.15381/anales.v78i1.13020Anales de la Facultad de Medicina; Vol. 78 No. 1 (2017); 41-48Anales de la Facultad de Medicina; Vol. 78 Núm. 1 (2017); 41-481609-94191025-5583reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/anales/article/view/13020/11729Derechos de autor 2017 Italo Moisés Saldaña Orejón, Miguel Ángel Benites Ricra, Justhin Andrés Chipana Huallpahttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/130202017-05-22T17:35:43Z
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