A new look at risk patterns related to coronary heart disease incidence using survival tree analysis: 12 Years Longitudinal Study

Abstract We identified risk patterns associated with incident coronary heart disease (CHD) using survival tree, and compared performance of survival tree versus Cox proportional hazards (Cox PH) in a cohort of Iranian adults. Data on 8,279 participants (3,741 men) aged ≥30 yr were used to analysis....

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Azra Ramezankhani, Farideh Bagherzadeh-Khiabani, Davood Khalili, Fereidoun Azizi, Farzad Hadaegh
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ef70fd02e1e340be8c801a1d7a7a242a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:ef70fd02e1e340be8c801a1d7a7a242a
record_format	dspace
spelling	oai:doaj.org-article:ef70fd02e1e340be8c801a1d7a7a242a2021-12-02T16:06:40ZA new look at risk patterns related to coronary heart disease incidence using survival tree analysis: 12 Years Longitudinal Study10.1038/s41598-017-03577-02045-2322https://doaj.org/article/ef70fd02e1e340be8c801a1d7a7a242a2017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03577-0https://doaj.org/toc/2045-2322Abstract We identified risk patterns associated with incident coronary heart disease (CHD) using survival tree, and compared performance of survival tree versus Cox proportional hazards (Cox PH) in a cohort of Iranian adults. Data on 8,279 participants (3,741 men) aged ≥30 yr were used to analysis. Survival trees identified seven subgroups with different risk patterns using four [(age, non-HDL-C, fasting plasma glucose (FPG) and family history of diabetes] and five [(age, systolic blood pressure (SBP), non-HDL-C, FPG and family history of CVD] predictors in women and men, respectively. Additional risk factors were identified by Cox models which included: family history of CVD and waist circumference (in both genders); hip circumference, former smoking and using aspirin among men; diastolic blood pressure and lipid lowering drug among women. Survival trees and multivariate Cox models yielded comparable performance, as measured by integrated Brier score (IBS) and Harrell’s C-index on validation datasets; however, survival trees produced more parsimonious models with a minimum number of well recognized risk factors of CHD incidence, and identified important interactions between these factors which have important implications for intervention programs and improve clinical decision making.Azra RamezankhaniFarideh Bagherzadeh-KhiabaniDavood KhaliliFereidoun AziziFarzad HadaeghNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Azra Ramezankhani Farideh Bagherzadeh-Khiabani Davood Khalili Fereidoun Azizi Farzad Hadaegh A new look at risk patterns related to coronary heart disease incidence using survival tree analysis: 12 Years Longitudinal Study
description	Abstract We identified risk patterns associated with incident coronary heart disease (CHD) using survival tree, and compared performance of survival tree versus Cox proportional hazards (Cox PH) in a cohort of Iranian adults. Data on 8,279 participants (3,741 men) aged ≥30 yr were used to analysis. Survival trees identified seven subgroups with different risk patterns using four [(age, non-HDL-C, fasting plasma glucose (FPG) and family history of diabetes] and five [(age, systolic blood pressure (SBP), non-HDL-C, FPG and family history of CVD] predictors in women and men, respectively. Additional risk factors were identified by Cox models which included: family history of CVD and waist circumference (in both genders); hip circumference, former smoking and using aspirin among men; diastolic blood pressure and lipid lowering drug among women. Survival trees and multivariate Cox models yielded comparable performance, as measured by integrated Brier score (IBS) and Harrell’s C-index on validation datasets; however, survival trees produced more parsimonious models with a minimum number of well recognized risk factors of CHD incidence, and identified important interactions between these factors which have important implications for intervention programs and improve clinical decision making.
format	article
author	Azra Ramezankhani Farideh Bagherzadeh-Khiabani Davood Khalili Fereidoun Azizi Farzad Hadaegh
author_facet	Azra Ramezankhani Farideh Bagherzadeh-Khiabani Davood Khalili Fereidoun Azizi Farzad Hadaegh
author_sort	Azra Ramezankhani
title	A new look at risk patterns related to coronary heart disease incidence using survival tree analysis: 12 Years Longitudinal Study
title_short	A new look at risk patterns related to coronary heart disease incidence using survival tree analysis: 12 Years Longitudinal Study
title_full	A new look at risk patterns related to coronary heart disease incidence using survival tree analysis: 12 Years Longitudinal Study
title_fullStr	A new look at risk patterns related to coronary heart disease incidence using survival tree analysis: 12 Years Longitudinal Study
title_full_unstemmed	A new look at risk patterns related to coronary heart disease incidence using survival tree analysis: 12 Years Longitudinal Study
title_sort	new look at risk patterns related to coronary heart disease incidence using survival tree analysis: 12 years longitudinal study
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/ef70fd02e1e340be8c801a1d7a7a242a
work_keys_str_mv	AT azraramezankhani anewlookatriskpatternsrelatedtocoronaryheartdiseaseincidenceusingsurvivaltreeanalysis12yearslongitudinalstudy AT faridehbagherzadehkhiabani anewlookatriskpatternsrelatedtocoronaryheartdiseaseincidenceusingsurvivaltreeanalysis12yearslongitudinalstudy AT davoodkhalili anewlookatriskpatternsrelatedtocoronaryheartdiseaseincidenceusingsurvivaltreeanalysis12yearslongitudinalstudy AT fereidounazizi anewlookatriskpatternsrelatedtocoronaryheartdiseaseincidenceusingsurvivaltreeanalysis12yearslongitudinalstudy AT farzadhadaegh anewlookatriskpatternsrelatedtocoronaryheartdiseaseincidenceusingsurvivaltreeanalysis12yearslongitudinalstudy AT azraramezankhani newlookatriskpatternsrelatedtocoronaryheartdiseaseincidenceusingsurvivaltreeanalysis12yearslongitudinalstudy AT faridehbagherzadehkhiabani newlookatriskpatternsrelatedtocoronaryheartdiseaseincidenceusingsurvivaltreeanalysis12yearslongitudinalstudy AT davoodkhalili newlookatriskpatternsrelatedtocoronaryheartdiseaseincidenceusingsurvivaltreeanalysis12yearslongitudinalstudy AT fereidounazizi newlookatriskpatternsrelatedtocoronaryheartdiseaseincidenceusingsurvivaltreeanalysis12yearslongitudinalstudy AT farzadhadaegh newlookatriskpatternsrelatedtocoronaryheartdiseaseincidenceusingsurvivaltreeanalysis12yearslongitudinalstudy
_version_	1718384939823529984

A new look at risk patterns related to coronary heart disease incidence using survival tree analysis: 12 Years Longitudinal Study

Ejemplares similares