RESUMO
OBJECTIVE: The objective of this study was to validate the main therapies used in the treatment of heart failure through a clinical consensus conducted by cardiology experts in Colombia. METHODS: The Delphi technique was employed, which involves a series of consultation rounds with experts to reach a consensus. Cardiologists with experience in HF treatment were selected, and they were sent electronic questionnaires to assess the relevance of various therapeutic interventions. Consensus was defined when at least 70% of the experts agreed on the relevance of an intervention. RESULTS: Fourteen cardiology experts participated in the study. In the first round, nine therapeutic interventions were evaluated, but insufficient agreement was reached to form a consensus. A second round was conducted, where feedback was provided to the experts, and they were asked to rate the relevance of the interventions using a Likert scale. Consensus was achieved for eight of the evaluated therapeutic interventions. The focus of the third round was on the interventions that had not reached consensus in the previous rounds. CONCLUSIONS: This study provides clinical consensus on therapeutic interventions for HF in Colombia. Nine therapeutic interventions were identified as relevant by the experts. These findings can help improve HF treatment and optimize clinical outcomes in Colombia. It is important to note that this study was conducted with local experts, and the results may not be generalizable to other populations.
Assuntos
Técnica Delphi , Insuficiência Cardíaca , Humanos , Insuficiência Cardíaca/terapia , Colômbia , Inquéritos e Questionários , Consenso , Feminino , Masculino , Pessoa de Meia-IdadeRESUMO
Resumen Introducción: Los sistemas dinámicos y la geometría fractal han sido el sustrato para el advenimiento de una ley matemática aplicada al diagnóstico de la dinámica cardíaca en 21 horas. Objetivo: Confirmar la aplicabilidad clínica de la ley matemática exponencial en 16 horas a partir de un estudio de concordancia diagnóstica frente a la norma de referencia. Materiales y método: Se realizó un estudio con 250 registros electrocardiográficos continuos y ambulatorios; 50 pertenecían a pacientes normales y 200 a pacientes con diversas enfermedades cardíacas. Se simuló la secuencia de frecuencias cardíacas y se construyeron los atractores correspondientes. Se calculó la dimensión fractal y la ocupación del atractor en el espacio generalizado de box-counting. Por último, se estableció el diagnóstico fisicomatemático en 16 y 21 horas y se efectuó la validación estadística. Resultados: Los espacios de ocupación para normalidad en la rejilla pequeña se encontraron entre 205 y 372, y entre 56 y 201 para dinámicas patológicas, lo cual permitió evidenciar la capacidad del método para diferenciar normalidad de enfermedad a través de la ocupación espacial de los atractores con base en la ley matemática en 16 horas. Se hallaron valores de sensibilidad y especificidad del 100% y un coeficiente kappa del orden de 1, luego de comparar el diagnóstico fisicomatemático frente a la norma de referencia. Conclusión: La ley matemática exponencial en 16 horas demostró su utilidad como herramienta de ayuda diagnóstica y predictiva, lo cual permitió diferenciar normalidad y estados evolutivos hacia enfermedad y agudización.
Abstract Introduction: Dynamic systems and fractal geometry have been the substrate for the rising of a mathematical law applied to the diagnosis of cardiac dynamics in 21 hours. Objective: To confirm the clinical applicability of the exponential mathematical law in 16 hours, with a study of diagnostic agreement against the Gold Standard. Materials and method: It was made a study with 250 ambulatory and continuous electrocardiographic recordings, 50 belonged to normal patients and 200 to patients with various cardiac pathologies. The sequence of heart rates was simulated, and attractors were constructed. It was calculated the fractal dimension of the attractor and its occupation in the generalized Box-Counting space. Finally, it was determined the physical-mathematical diagnostic in 16 and 21 hours, and statistical validation was performed. Results: The occupation spaces in the small grid were between 205 and 372 for normality, and between 56 and 201 for pathologic dynamics, which demonstrated the ability of the method to differentiate normal condition from sickness, through spatial occupation of attractors according to mathematical law in 16 hours. There were obtained values of sensitivity and specificity of 100% and Kappa coefficient was 1, after comparing the physic-mathematical analysis against the Gold Standard. Conclusion: The exponential mathematical law in 16 hours proved its utility as diagnostic and predictive tool support, allowing to differentiate normal, developmental stages to disease and exacerbation.