Background: This cross-sectional study determines the association between 10-year cardiovascular disease (CVD) risk, estimated using four CVD risk assessment tools, and metabolic syndrome (MetS) in northern Iranian general population. Methods: We used the data of 2371 participants aged 40-74 without any history of diabetes mellitus from a cohort study conducted among 6140 subjects aged 10-90 years in northern Iran. Three definitions of MetS were used. The four CVD risk assessment tools used to estimate the 10-year CVD risk included pooled cohort equations of ACC/AHA, Systematic Coronary Risk Evaluation (SCORE) equations (for low-risk and high-risk European countries), and Framingham general cardiovascular risk profile for use in primary care. Logistic regression was used to determine the association between various definitions of MetS and 10-year CVD risk of ≥5%, ≥ 7.5%, and ≥10%, based on the related risk assessment tools. Results: In men, univariate logistic regression analysis showed the strongest association between 10-year risk of ≥0.1 estimated by Framingham risk profile and the three definitions of MetS. In women, the 10-year risks by Framingham risk profile and SCORE equations for high-risk European countries had stronger associations with various definitions of MetS than others. No significant associations were detected between estimated risks of four risk assessment tools and various definitions of MetS in multivariate logistic regression analyses. Conclusion: No independent associations were observed between estimations of 10-year CVD risk using four risk assessment tools and various definitions of MetS.
Background: This cross-sectional study determines the association between 10-year cardiovascular disease (CVD) risk, estimated using four CVD risk assessment tools, and metabolic syndrome (MetS) in northern Iranian general population. Methods: We used the data of 2371 participants aged 40-74 without any history of diabetes mellitus from a cohort study conducted among 6140 subjects aged 10-90 years in northern Iran. Three definitions of MetS were used. The four CVD risk assessment tools used to estimate the 10-year CVD risk included pooled cohort equations of ACC/AHA, Systematic Coronary Risk Evaluation (SCORE) equations (for low-risk and high-risk European countries), and Framingham general cardiovascular risk profile for use in primary care. Logistic regression was used to determine the association between various definitions of MetS and 10-year CVD risk of ≥5%, ≥ 7.5%, and ≥10%, based on the related risk assessment tools. Results: In men, univariate logistic regression analysis showed the strongest association between 10-year risk of ≥0.1 estimated by Framingham risk profile and the three definitions of MetS. In women, the 10-year risks by Framingham risk profile and SCORE equations for high-risk European countries had stronger associations with various definitions of MetS than others. No significant associations were detected between estimated risks of four risk assessment tools and various definitions of MetS in multivariate logistic regression analyses. Conclusion: No independent associations were observed between estimations of 10-year CVD risk using four risk assessment tools and various definitions of MetS.
Authors: Dalton Bertolim Précoma; Gláucia Maria Moraes de Oliveira; Antonio Felipe Simão; Oscar Pereira Dutra; Otávio Rizzi Coelho; Maria Cristina de Oliveira Izar; Rui Manuel Dos Santos Póvoa; Isabela de Carlos Back Giuliano; Aristóteles Comte de Alencar Filho; Carlos Alberto Machado; Carlos Scherr; Francisco Antonio Helfenstein Fonseca; Raul Dias Dos Santos Filho; Tales de Carvalho; Álvaro Avezum; Roberto Esporcatte; Bruno Ramos Nascimento; David de Pádua Brasil; Gabriel Porto Soares; Paolo Blanco Villela; Roberto Muniz Ferreira; Wolney de Andrade Martins; Andrei C Sposito; Bruno Halpern; José Francisco Kerr Saraiva; Luiz Sergio Fernandes Carvalho; Marcos Antônio Tambascia; Otávio Rizzi Coelho-Filho; Adriana Bertolami; Harry Correa Filho; Hermes Toros Xavier; José Rocha Faria-Neto; Marcelo Chiara Bertolami; Viviane Zorzanelli Rocha Giraldez; Andrea Araújo Brandão; Audes Diógenes de Magalhães Feitosa; Celso Amodeo; Dilma do Socorro Moraes de Souza; Eduardo Costa Duarte Barbosa; Marcus Vinícius Bolívar Malachias; Weimar Kunz Sebba Barroso de Souza; Fernando Augusto Alves da Costa; Ivan Romero Rivera; Lucia Campos Pellanda; Maria Alayde Mendonça da Silva; Aloyzio Cechella Achutti; André Ribeiro Langowiski; Carla Janice Baister Lantieri; Jaqueline Ribeiro Scholz; Silvia Maria Cury Ismael; José Carlos Aidar Ayoub; Luiz César Nazário Scala; Mario Fritsch Neves; Paulo Cesar Brandão Veiga Jardim; Sandra Cristina Pereira Costa Fuchs; Thiago de Souza Veiga Jardim; Emilio Hideyuki Moriguchi; Jamil Cherem Schneider; Marcelo Heitor Vieira Assad; Sergio Emanuel Kaiser; Ana Maria Lottenberg; Carlos Daniel Magnoni; Marcio Hiroshi Miname; Roberta Soares Lara; Artur Haddad Herdy; Cláudio Gil Soares de Araújo; Mauricio Milani; Miguel Morita Fernandes da Silva; Ricardo Stein; Fernando Antonio Lucchese; Fernando Nobre; Hermilo Borba Griz; Lucélia Batista Neves Cunha Magalhães; Mario Henrique Elesbão de Borba; Mauro Ricardo Nunes Pontes; Ricardo Mourilhe-Rocha Journal: Arq Bras Cardiol Date: 2019-11-04 Impact factor: 2.000