Response predictors to cardiac resynchronization therapy in chronic heart failure: a 10-year-cardiovascular center experience.

BACKGROUND: Cardiac resynchronization therapy (CRT) has been established as an effective therapy for heart failure with reduced ejection fraction. Randomized clinical trials have shown its impact on mortality and HF hospitalizations, as well as improvement of symptoms and quality of life. OBJECTIVES: Finding clinical, electrocardiographic, and echocardiographic variables that may predict the response to cardiac resynchronization therapy (CRT). METHODS: We performed a single-center, observational, analytic, and retrospective study that included 102 patients with heart failure (HF) diagnosis who underwent CRT according to guideline-directed therapy from January 2010 to April 2020 in a third-level center. CRT response was defined as an improvement of New York Heart Association functional class in at least 1 category associated with a recovery of ≥ 5% in the left ventricular ejection fraction (LVEF). RESULTS: Our study population was 102 patients of which 61 (59.8%) were men. The mean age at HF diagnosis was 54 ± 18.7 years. Ischemic heart disease was the etiology in 37 (36.3%) cases. Fifty-one (50%) patients were classified as responders. Responders had wider QRS, and lower LVEF and right ventricular fractional area change at baseline. After CRT, responders had a greater reduction of QRS duration, and improvement in LVEF, global longitudinal strain, and echocardiographic dyssynchrony parameters. Multivariate regression analysis showed that left bundle branch block (LBBB), left ventricular end-diastolic volume (LVEDV), tricuspid annular plane systolic excursion (TAPSE), and baseline difference of pre-ejection periods were predictors of a positive response to CRT in this population. CONCLUSIONS: LBBB, TAPSE, LVEDV, and pre-ejection time difference are independent variables that can predict adequate response to CRT.

ANTECEDENTES: La terapia de resincronización cardíaca (TRC) se ha establecido como una terapia efectiva para la insuficiencia cardíaca con fracción de eyección reducida. Ensayos clínicos aleatorizados han demostrado su impacto en la mortalidad y hospitalizaciones por insuficiencia cardíaca, así como la mejora de los síntomas y la calidad de vida. OBJETIVOS: Determinar las variables clínicas, electrocardiográficas y ecocardiográficas que puedan predecir la respuesta a la terapia de resincronización cardíaca (TRC). MÉTODO: Estudio unicéntrico, observacional, analítico, retrospectivo, que incluyó 102 pacientes con diagnóstico de IC sometidos a TRC y terapia dirigida por guías, de enero de 2010 a abril de 2020, en un centro de tercer nivel. La respuesta a TRC fue definida como mejoría de la clase funcional de la New York Heart Association en al menos 1 categoría, asociado con una recuperación ≥ 5% en la fracción de expulsión del ventrículo izquierdo (FEVI). RESULTADOS: Incluimos a 102 pacientes, 61 (59.8%) fueron hombres. El promedio de edad al diagnóstico de IC fue 54 ± 18.7 años. La cardiopatía isquémica fue la etiología en 37 (36.3%) pacientes. 51 (50%) pacientes, fueron clasificados como respondedores. Los respondedores presentaron QRS amplio, menor FEVI y menor fracción de acortamiento del ventrículo derecho al inicio del estudio. Después de la TRC, los respondedores tuvieron una mayor reducción en la duración del QRS, mejoría en la FEVI, strain longitudinal global y parámetros de disincronía ecocardiográfica. El análisis de regresión multivariado mostró que el bloqueo de rama izquierdo (BRI), el volumen telediastólico del ventrículo izquierdo (VTDVI) la excursión sistólica del plano anular tricuspídeo (TAPSE) y la diferencia basal del período expulsivo fueron predictores de respuesta positiva a TRC. CONCLUSIONES: BRI, TAPSE, VTDVI y la diferencia basal de períodos preexpulsivos son variables independientes que predicen respuesta adecuada a TRC.

Academic and professional profile of cardiology fellowship graduates of National Institute of Cardiology Ignacio Chávez from 2000 to 2015.

BACKGROUND: The Ignacio Chávez National Institute of Cardiology (NIC) has positioned itself as an international benchmark in cardiovascular medical education, standing out for its high academic standards and human quality. OBJECTIVE: This study aims to identify the employment and academic profile of cardiology fellowship graduates from the National Institute of Cardiology of Mexico (NIC). METHODS: A cross-sectional and retrospective study was conducted, involving 473 graduates from the period 2000-2015. Data was collected through an electronic survey. RESULTS: A total of 221 graduates agreed to participate, accounting for 46.7% of the total number of graduates. Among the participants, 85.2% were male. The majority of graduates (82.4%) held Mexican nationality, while the remaining individuals represented various Latin-American nationalities. Following the completion of the cardiology fellowship, 89% of graduates pursued further postgraduate degrees. Within this group, 95.4% completed at least one additional fellowship, while 4.6% pursued a master's or PhD program. The most popular fellowship program chosen was Interventional Cardiology. On average, NIC graduates dedicate 10.8 hours per day to their work, with 6.4 hours dedicated to cardiology and 4.3 hours to their other postgraduate degree. Those employed in both public and private health systems allocate 6.1 hours and 5.2 hours per day, respectively. Additionally, 75% of graduates are involved in teaching activities. Currently, 84% of graduates are employed in Mexico. CONCLUSION: The majority of NIC graduates are physicians who further their academic training by pursuing additional postgraduate programs. They work longer hours per day compared to the general Mexican population, with a significant focus on clinical cardiology. Graduates actively seek opportunities to share their expertise through various academic activities.

ANTECEDENTES: El Instituto Nacional de Cardiología Ignacio Chávez (INC) se ha posicionado como un referente internacional en la educación médica cardiológica, destacándose por su alto nivel académico y calidad humana. OBJETIVO: El objetivo de este estudio fue identificar el perfil laboral y académico actual de los egresados del Instituto Nacional de Cardiología Ignacio Chávez (INC). MÉTODOS: Se llevó a cabo un estudio transversal y retrospectivo que incluyó a 473 egresados del INC graduados entre 2000 y 2015. Se utilizó una encuesta electrónica para recopilar los datos. RESULTADOS: Un total de 221 egresados aceptaron participar en el estudio, lo que representa el 46.7% del total de egresados. El 85.2% de los participantes son hombres. La mayoría de los egresados son de nacionalidad mexicana (82.4%), mientras que el resto se distribuye en varios países de Latinoamérica. El 89% de los egresados completó otro posgrado después de cardiología. De este grupo, el 95.4% realizó al menos una alta especialidad, mientras que el 4.6% obtuvo una maestría o doctorado. La especialidad más comúnmente elegida fue Cardiología Intervencionista. Los egresados del INC trabajan en promedio 10.8 horas al día, de las cuales 6.4 horas se dedican a la cardiología clínica y 4.3 horas al otro posgrado. Aquellos que trabajan en el sector público y privado dedican 6.1 horas y 5.2 horas al día, respectivamente. Además, el 75% de los egresados desempeña actividades de enseñanza. El 84% de los egresados trabajan en México. CONCLUSIÓN: En su mayoría, los egresados del INC son médicos especialistas que continúan su formación académica a través de la realización de otros posgrados. Trabajan más horas al día en comparación con el resto de la población mexicana, y dedican la mayor parte de su tiempo al ejercicio de la cardiología clínica. También buscan transmitir sus conocimientos a través de actividades académicas y de enseñanza.

Flipped learning as an educational model in a cardiology residency program.

INTRODUCTION: Flipped learning (FL) is a model which allows students to adjust their study rhythm by taking advantage of class time to apply their knowledge. Although FL meets many of the needs of the traditional lecture-based model and the exclusively virtual model, its effectiveness in medical residency programs has not been thoroughly studied. Our study evaluates the efficacy of an FL model in a cardiology residency program based on the satisfaction and academic performance of the participants. METHOD: A prospective, observational, and descriptive study was conducted at Ignacio Chávez National Institute of Cardiology in Mexico City to evaluate the satisfaction and effectiveness of an FL model for acquiring competencies in electrocardiographic diagnosis among thirty-one first-year cardiology residents. The Advanced Electrocardiography Workshop and a virtual classroom were designed for the intervention. Four teachers taught the workshop and video classes, and ten medical specialists from the participants' areas of work performed evaluations of practical skills before and after the intervention. RESULTS: 75% of the participants rated the intervention as very favorable compared to the traditional and virtual models. The main advantages offered by the FL model were identified. An improvement of high statistical significance was observed in participants' academic performance after the intervention (P value < 0.001). CONCLUSION: The FL model has a high degree of acceptance among participants and teachers. Our study shows an improvement in academic performance after the intervention. Considering that the FL model is flexible and reproducible in other areas of medicine, it represents an excellent educational alternative that meets current needs.

Integrating the STOP-BANG Score and Clinical Data to Predict Cardiovascular Events After Infarction: A Machine Learning Study.

BACKGROUND: OSA conveys worse clinical outcomes in patients with coronary artery disease. The STOP-BANG score is a simple tool that evaluates the risk of OSA and can be added to the large number of clinical variables and scores that are obtained during the management of patients with myocardial infarction (MI). Currently, machine learning (ML) is able to select and integrate numerous variables to optimize prediction tasks. RESEARCH QUESTION: Can the integration of STOP-BANG score with clinical data and scores through ML better identify patients who experienced an in-hospital cardiovascular event after acute MI? STUDY DESIGN AND METHODS: This is a prospective observational cohort study of 124 patients with acute MI of whom the STOP-BANG score classified 34 as low (27.4%), 30 as intermediate (24.2%), and 60 as high (48.4%) OSA-risk patients who were followed during hospitalization. ML implemented feature selection and integration across 47 variables (including STOP-BANG score, Killip class, GRACE score, and left ventricular ejection fraction) to identify those patients who experienced an in-hospital cardiovascular event (ie, death, ventricular arrhythmias, atrial fibrillation, recurrent angina, reinfarction, stroke, worsening heart failure, or cardiogenic shock) after definitive MI treatment. Receiver operating characteristic curves were used to compare ML performance against STOP-BANG score, Killip class, GRACE score, and left ventricular ejection fraction, independently. RESULTS: There were an increasing proportion of cardiovascular events across the low, intermediate, and high OSA risk groups (P = .005). ML selected 7 accessible variables (ie, Killip class, leukocytes, GRACE score, c reactive protein, oxygen saturation, STOP-BANG score, and N-terminal prohormone of B-type natriuretic peptide); their integration outperformed all comparators (area under the curve, 0.83 [95% CI, 0.74-0.90]; P < .01). INTERPRETATION: The integration of the STOP-BANG score into clinical evaluation (considering Killip class, GRACE score, and simple laboratory values) of subjects who were admitted for an acute MI because of ML can significantly optimize the identification of patients who will experience an in-hospital cardiovascular event.