ABSTRACT
En la actualidad existen diferencias en la interpretación y cuantificación de los extrasístoles supraventriculares y ventriculares en el Holter de ritmo cardíaco y no existe siempre una misma definición e interpretación de lo que se denomina como "escaso", "ocasional", "frecuente" o "muy frecuente". El objetivo del presente trabajo ha sido revisar las evidencias actuales y sus fundamentos en relación a la cuantificación o carga de la extrasistolía supraventricular y ventricular en un Holter de ritmo cardíaco, lo que debiera contribuir a una mayor precisión y mejor interpretación de la información cuantitativa en la práctica clínica diaria con este examen. Se revisa en la literatura el concepto de carga de extrasístoles supraventriculares y ventriculares y su relación con eventos clínicos: fibrilación auricular y accidente cerebrovascular en el caso de la extrasistolía supraventricular y mortalidad post infarto y deterioro de la función ventricular en el caso de la extrasistolía ventricular. De esta manera se cuantifica en base a la evidencia la extrasistolía supraventricular y ventricular.
Considerable differences exist in the quantification and clinical significance of both supraventricular and ventricular extrasystoles found in Holter recordings. Usually extrasystoles were classified as rare, occasional, frequent and very frequent. Current publications were analyzed regarding the frequency and clinical significance or these arrhythmias, especially in in relation to prior myocardial infarction, ventricular dysfunction, atrial fibrillation and cerebro vascular events. Tables showing limits to define the severity of supraventricular and ventricular extrasystoles are included.
ABSTRACT
Resumen Introducción: Previamente se desarrolló una nueva metodología de ayuda diagnóstica para los registros Holter fundamentada en los sistemas dinámicos y la teoría de probabilidad, a partir de la información registrada en 21 horas. Objetivo: Evaluar la capacidad diagnóstica de esta metodología durante 19 horas, comparándola con los resultados convencionales del Holter y con los resultados del método matemático aplicado en 21 horas. Materiales y Métodos: fueron evaluados 80 casos de pacientes mayores a 20 años, 10 con registro Holter normal y 70 diagnosticados de forma convencional con diferentes patologías cardíacas. Se establecieron los rangos para las frecuencias cardíacas y de número de latidos por hora en 21 y 19 horas; luego, se calculó la probabilidad de ocurrencia de estos, lo que permitió diferenciar estados de normalidad y enfermedad aguda a partir de tres parámetros. Se comparó el diagnóstico físico-matemático con el diagnóstico convencional, tomado como Gold Standard. Resultados: De los casos normales, dos presentaron probabilidad menor o igual a 0,217 y ocho probabilidades mayores o igual a 0,304; ningún caso de enfermedad aguda presentó valores con probabilidad menor o igual a 0,217, mientras que todos presentaron valores mayores o iguales a 0,304, tanto para los registros Holter evaluados en 21 como en 19 horas. Conclusiones: Se confirmó la utilidad clínica de la metodología ante una reducción del tiempo de evaluación a 19 horas, obteniendo diagnósticos objetivos con base en la auto-organización matemática del fenómeno.
Abstract Background: a new method to help evaluate 21-hour holter recordings based on dynamic systems and the theory of probability was previously developed Aim: to evaluate the diagnostic value of this methodology in the analysis of 19 hr compared to conventional holter analysis over a 21-hr recording. Methods: the holter recordings of 80 subjects aged over 20 years old were analyzed. Ten subjects had a normal holter and 70 conventionally diagnosed as abnormal. Ranges for heart rate and number of beats in 21 or 19 hours were determined. The probability of their occurrence was calculated using 3 parameters. The mathematically derived diagnosis was compared to the clinical diagnosis, considered a gold standard. Results: Among normal cases the calculated probability was ≤ 0.217 in 2 cases and ≥0.304 in 8. No case with acute disease presented probability values ≤0.217; all had probability values ≥0.304, both in 21 and 19 hour recordings. Conclusion: the mathematical methodology described was clinically useful allowing a reduction in recording time from 21 to 19 hr. Clinical diagnosis may be inferred from the mathematical organization of a holter recording.
Subject(s)
Humans , Male , Female , Adult , Cardiovascular Diseases/diagnosis , Electrocardiography, Ambulatory/methods , Arrhythmias, Cardiac/diagnosis , Time Factors , Cardiovascular Diseases/physiopathology , Probability , Heart Rate/physiologyABSTRACT
BACKGROUND: Paroxysmal atrial fibrillation (PAF) causes not only severe symptoms and hemodynamic changes, but may progress to chronic atrial fibrillation. Autonomic nervous system or atrial premature beat (APB) has been suggested to contribute to the spontaneous initiation of PAF, but the exact mechanism has been largely unknown. METHODS: One hundred and twenty nine episodes of PAF lasting longer than 5 sec were analyzed in 18 patients (M:F=11:?). Two minutes of normal sinus rhythm before the onset of PAF, and the initial one minute of PAF were printed and analyzed. RESULTS: Most of PAFs were initiated by APBs (38%) or rapid atrial tachycardias (AT, 59%). The frequency of APBs tended to increase immediately before PAF onset (p=0.08). The coupling intervals and coupling indices were not significantly different between PAF-producing APBs and benign APBs. More than half of PAF episodes were initiated by rapid ATs (rate, 357+/-50 bpm). After the onset, they accelerated over several seconds and then degenerated into AF. In some cases, transition from AF to atrial flutter and vice versa were observed. Heart rate, measured at 60-second intervals during 2 minutes before PAF onset, did not change significantly (p=0.44). CONCLUSION: Most of PAFs were initiated by APBs or rapid ATs. Heart rate did not change significantly but the frequency of APBs tended to increase immediately before PAF onset. Rapid ATs frequently accelerated and degenerated into AF. In this regard, Holter monitoring could be useful in identifying patients with PAF triggered by rapid ATs.