A Body Shape Index and Pulse Wave Velocity: strong markers of coronary artery calcification in dyslipidemic patients
| Autor: | Francisca Eugenia Zaina Nagano, Cassia Cristina Paes de Almeida, Tiago Augusto Magalhães, Rodrigo Julio Cerci, Miguel Morita Fernandes da Silva, Emilton Lima Junior |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Predictores de riesgo cardiovascular
fungi Preditores de risco cardiovascular Coronary artery calcification Cardiovascular risk predictors Calcificación de la arteria coronaria Rigidez arterial Central obesity General Earth and Planetary Sciences Obesidade central Calcificação da artéria coronária Arterial stiffness Obesidad central General Environmental Science |
| Zdroj: | Research, Society and Development; Vol. 11 No. 5; e17711528190 Research, Society and Development; Vol. 11 Núm. 5; e17711528190 Research, Society and Development; v. 11 n. 5; e17711528190 Research, Society and Development Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
| ISSN: | 2525-3409 |
| Popis: | Objective: To identify, among different Cardiovascular Risk Predictors (CVRP), which have the best associations with Coronary Artery Calcification (CAC). Methodology: Cross-sectional study, with dyslipidemic (age >18), to investigate the association between CVRP [anthropometrics, biochemicals, clinicals, Ankle-Brachial Index (ABI), arterial stiffness] and Coronary Calcium Score (CCS), which was classified according to (1) CCS=0, CCS=1-100, CCS>100, (2) CCS=0, CCS=1-99, CCS=100-299, CCS>300 and (3) dichotomous (CCS=0 or CCS>P75/CCS>100). Bivariate descriptive and inferential statistics were performed. ROC curves estimated the CAC risk of the independent variable. The univariate logistic regression model identified the probability of CAC and established the sensitivity and the specificity of each predictor and the multivariate identified higher risk variables and their respective Odds Ratio (OR). Results: 180 patients evaluated, 65.5% were women, mean age 59.8. CAC was associated with Waist Circumference (p=0.03), A Body Shape Index Risk-ABSIR (p18), para investigar la asociación entre PRCV [antropométricos, bioquímicos, clínicos, índice tobillo-brazo (ITB), rigidez arterial] y el puntaje de calcio en las arterias coronárias (PCC), que se clasificó según (1) PCC=0, PCC=1-100, PCC>100, (2) PCC=0, PCC=1-99, PCC=100-299, PCC>300 y (3) dicotómico (PCC=0 o PCC>P75/PCC>100). Se realizó estadística descriptiva e inferencial bivariada. Las curvas ROC estimaron el riesgo CAC de la variable independiente. El modelo de regresión logística univariante identificó la probabilidad de CAC y estableció la sensibilidad y la especificidad de cada predictor y el multivariante identificó las variables de mayor riesgo y sus respectivas Odds Ratio (OR). Resultados: 180 pacientes evaluados, 65,5% mujeres, edad promedia 59,8. El CAC se asoció con la Circunferencia de la Cintura (p=0,03), A Body Shape Index Risk-ABSIR (p 18 anos), investigou a associação entre CVRP [antropométricos, bioquímicos, clínicos, índice tornozelo-braquial (ITB) e rigidez arterial]com o Escore de Cálcio Coronariano (ECC), que foi classificado de acordo com (1) ECC=0, ECC=1-100, ECC>100, (2) ECC=0, ECC=1-99, ECC=100-299, ECC>300 e (3) dicotômico (ECC=0 ou ECC>P75/ECC>100). Foram realizadas estatísticas descritivas e inferenciais bivariadas. As curvas ROC estimaram o risco CAC da variável independente. O modelo de regressão logística univariado identificou a probabilidade de CAC e estabeleceu a sensibilidade e a especificidade de cada preditor e o multivariado identificou variáveis de maior risco e suas respectivas Odds Ratio (OR). Resultados: 180 pacientes avaliados, 65,5% mulheres, idade média de 59,8. CAC foi associada com Circunferência da Cintura (p=0,03), A Body Shape Index Risk-ABSIR (p |
| Databáze: | OpenAIRE |
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