1. Medición del espesor miointimal carotídeo como predictor de riesgo de accidente isquémico transitorio Carotid Intima - Media Thickness measurement as a risk predictor of transient ischemic attack Objectives
- Author
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Stella Maris Batallés, María Natalia Heredia, Luciana Della Rosa, Mauricio Capomasi, Roberto Villavicencio, and Stella Maris Pezzotto
- Subjects
Accidente isquémico transitorio ,Ecografía ,Espesor miointimal carotídeo ,Carotid intima-media thickness ,Transient ischemic attack ,Ultrasound ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
Objetivos. Determinar si el riesgo de accidente isquémico transitorio (AIT) es mayor en pacientes con valores anormales de espesor miointimal carotídeo (EMIC). Materiales y Métodos. Evaluación de 168 pacientes con y sin AIT estudiados con ecografías de vasos de cuello, midiendo EMIC. Diseño de casos y controles apareados por distintas variables. Análisis estadístico: variables continuas (media ± DS), comparadas mediante prueba "t de Student" para muestras relacionadas. Variables categóricas (porcentajes) comparadas mediante pruebas de McNemar. Para evaluar EMIC como predictor de AIT, se ajustaron dos modelos de regresión logística condicional, considerando EMIC como variable continua y como variable binaria EMIC normal (1 mm). Se construyó una curva ROC para evaluar la capacidad discriminativa de EMIC, calculando la sensibilidad y especificidad para diferentes puntos de corte. Resultados. Valor de EMIC: casos 1,03 ± 0,31 mm (IC 95%: 0,97-1,10); controles 0,77 ± 0,27mm (IC 95%: 0,710,83); pTo determine if the risk of transient ischemic attack (TIA) is higher in patients with abnormal values of carotid intima-media thickness (CIMT). Materials and Methods. We evaluated 168 patients with and without TIA by ultrasound of the neck vessels, measuring CIMT. Case and controls were matched according to different variables. Statistical analysis: continuous variables (mean ± SD) were compared using the Student's t test for related samples. Categorical variables (percentages) were compared using the McNemar tests. In order to assess CIMT as a predictor of TIA, two models of conditional logistic regression were adjusted, considering CIMT both as a continuous variable and as a binary variable: normal CIMT (1 mm). A ROC curve was performed to determine the discriminative capacity of CIMT, estimating the sensitivity and specificity for different cutoff values. Results. CIMT value: cases 1.03±0.31 mm (95% CI: 0.971.10); controls 0.77±0.27 mm (95% CI: 0.71-0.83); p
- Published
- 2011