Diagnóstico de la dinámica cardiaca durante 16 horas desde los sistemas dinámicos aplicable en UCI
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Universidad Industrial de Santander
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Introducción: El comportamiento caótico de la dinámica cardiaca normal y aguda ha sido caracterizado en el contexto de la teoría de los sistemas dinámicos y la geometría fractal. Objetivo: Desarrollar una nueva metodología diagnóstica para la evaluación de la dinámica cardiaca en pacientes de UCI, durante 16 horas. Metodología: Este es un estudio en pacientes ingresados a Cuidados Intensivos posquirúrgicos (UCI) y sujetos sanos, tomando un total de 47 registros electrocardiográficos continuos y/o olter, normales y con patología aguda, evaluados en 16 horas. Se desarrolló una inducción con dos dinámicas normales y tres de UCI; a partir de los valores máximos y mínimos de la frecuencia cardiaca/hora y total de latidos/hora, registrados durante 16 horas se construyeron atractores para evaluar sus espacios de ocupación y dimensión fractal, con el fin de establecer diferencias e igualdades respecto a estados normales y patológicos. Se realizaron medidas de sensibilidad y especificidad con las dinámicas restantes para comparar el diagnostico matemático con el diagnóstico clínico. Resultados: Los espacios de ocupación de los atractores cardiacos diferencian dinámicas cardiacas normales de dinámicas con enfermedad crónica y aguda, detectando además dinámicas patológicas con valores superiores a los límites de normalidad, logrando valores de sensibilidad de 0,937 y especificidad del 1. Conclusión: se estableció una nueva metodología de evaluación de la dinámica cardiaca de utilidad para el seguimiento clínico en pacientes de UCI.
Introduction: The chaotic behavior of normal and acute cardiac dynamics has been characterized in the context of theory of dynamical systems and fractal geometry. Objective: to establish a new diagnostic method for assessing cardiac dynamics in ICU patients, for 16 hours. Methodology: This is a study in post-surgical patients admitted to intensive care (ICU) and in healthy subjects, taking a total of 47 continuous electrocardiographic recordings and/or Holter, normal and acute pathology, evaluated in 16 hours. Induction with two normal and three UCI dynamics was developed; from the maximum and minimum values of the heart/time and total frequency of beats/minute for 16 hours recorded attractors they were constructed to assess their areas of occupation and fractal dimension, in order to establish differences and equalities regarding normal states and pathological. Sensitivity and specificity measurements were performed with the remaining dynamic to compare mathematical diagnosis with clinical diagnosis. Results: Space occupancy heart attractors differ dynamic normal cardiac dynamics with chronic and acute illness, in addition detecting dynamic pathological with above normal limits values, achieving sensitivity values of 0.937 and specificity of 1. Conclusion: a new methodology for evaluating cardiac dynamics useful for clinical monitoring in ICU patients was established.
Introduction: The chaotic behavior of normal and acute cardiac dynamics has been characterized in the context of theory of dynamical systems and fractal geometry. Objective: to establish a new diagnostic method for assessing cardiac dynamics in ICU patients, for 16 hours. Methodology: This is a study in post-surgical patients admitted to intensive care (ICU) and in healthy subjects, taking a total of 47 continuous electrocardiographic recordings and/or Holter, normal and acute pathology, evaluated in 16 hours. Induction with two normal and three UCI dynamics was developed; from the maximum and minimum values of the heart/time and total frequency of beats/minute for 16 hours recorded attractors they were constructed to assess their areas of occupation and fractal dimension, in order to establish differences and equalities regarding normal states and pathological. Sensitivity and specificity measurements were performed with the remaining dynamic to compare mathematical diagnosis with clinical diagnosis. Results: Space occupancy heart attractors differ dynamic normal cardiac dynamics with chronic and acute illness, in addition detecting dynamic pathological with above normal limits values, achieving sensitivity values of 0.937 and specificity of 1. Conclusion: a new methodology for evaluating cardiac dynamics useful for clinical monitoring in ICU patients was established.
Keywords
fractals, Mathematics, Nonlinear Dynamics, Models, Theoretical, Heart Rate, Cardiac Electrophysiology, fractales, matemática, dinámicas no lineales, Modelos Teóricos, Frecuencia cardíaca, Electrofisiología cardíaca