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Uso de modelos de predicción de eventos cardiovasculares para pronóstico de lesión vascular coronaria significativa / Use of cardiovascular events prediction models for the prognosis of a severe coronary artery lesion
CáceresMéndez, Edward Andrés; García-Peña, Ángel Alberto.
  • CáceresMéndez, Edward Andrés; Hospital Universitario San Ignacio. Bogotá. CO
  • García-Peña, Ángel Alberto; Hospital Universitario San Ignacio. Departamento de Medicina Interna, Pontificia Universidad Javeriana. Unidad de Cardiología. Bogotá. CO
Rev. colomb. cardiol ; 27(6): 616-620, nov.-dic. 2020. tab, graf
Article in Spanish | LILACS, COLNAL | ID: biblio-1289281
RESUMEN
Resumen

Objetivos:

Determinar el mejor punto de corte y el grado de conformidad de las escalas de riesgo, Framingham, PROCAM y Reynolds, para el diagnóstico de lesión vascular coronaria arterioesclerótica severa a través de la comparación de las áreas bajo la curva de acuerdo con las curvas operativas del receptor (COR).

Métodos:

Estudio de corte transversal en adultos que fueron sometidos a arteriografía coronaria. Se aplicaron las escalas Framingham, PROCAM y Reynolds, las dos primeras ajustadas según estudio de calibración colombiano. Luego se realizó la recolección de los datos de manera concurrente en instituciones de referencia en cardiología y hemodinámica en Bogotá.

Resultados:

De 200 pacientes estudiados, 66% eran mujeres, 37,5% mayores de 70 años, 53,2% con hipertensión, 52,7% en sobrepeso u obesidad, 61,5% presentaron valores altos de Proteína C Reactiva ultrasensible (PCRus) y 50% tenían al menos una lesión coronaria mayor de 70%. Se encontraron los mejores puntos de corte, de acuerdo con cada curva de características operativas del receptor (COR) Framingham ajustado 5,8% (sensibilidad 80%, especificidad 41%). PROCAM ajustado 1,7% (sensibilidad 78%, especificidad 45%) y Reynolds 3,8% (sensibilidad 68%, especificidad 45%). Adicionalmente, se encontró que las tres escalas presentaron áreas bajo la curva (ABC) de 0,59, 0,59 y 0,57, respectivamente.
ABSTRACT
Abstract

Objectives:

To determine the best cut-off point and the level of agreement of the Framingham, PROCAM, and Reynolds risk scales, for the diagnosis of a severe atherosclerotic coronary artery lesion by comparing the areas under the receiver operator characteristics (ROC) curves.

Methods:

A cross-sectional study was carried out on adults that were subjected to coronary angiography. The Framingham, PROCAM, and Reynolds were applied, with the first two adjusted to a Colombian calibration study. Data were collected concurrently in the institutions of reference in Cardiology and haemodynamics in Bogota.

Results:

Of the 200 patients study, 66% were female, and 37.5% greater than 70 years-old. Hypertension was recorded in 53.2%, and overweight and obesity in 52.7%. Elevated levels of high sensitivity C-Reactive Protein (hsCRP) were observed in 61.5% of cases and 50% had at least one major coronary lesion greater than 70%. The best cut-off points according to each of the ROC curves Adjusted Framingham, 5.8% (sensitivity, 80%, specificity, 41%), Adjusted PROCAM, 1.7% (sensitivity, 78%, specificity, 45%) and Reynolds, 3.8% (sensitivity, 68%, specificity, 45%). Additionally, the three areas under the curve (AUC) were 0.59, 0.59, and 0.57, respectively.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Longitudinal Studies Type of study: Observational study / Prevalence study / Prognostic study / Risk factors Limits: Aged / Humans / Male Language: Spanish Journal: Rev. colomb. cardiol Journal subject: Cardiology Year: 2020 Type: Article Affiliation country: Colombia Institution/Affiliation country: Hospital Universitario San Ignacio/CO

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Full text: Available Index: LILACS (Americas) Main subject: Longitudinal Studies Type of study: Observational study / Prevalence study / Prognostic study / Risk factors Limits: Aged / Humans / Male Language: Spanish Journal: Rev. colomb. cardiol Journal subject: Cardiology Year: 2020 Type: Article Affiliation country: Colombia Institution/Affiliation country: Hospital Universitario San Ignacio/CO