RESUMEN
BACKGROUND: The patent foramen ovale (PFO) and interatrial block (IAB) are associated with cryptogenic stroke (CS). However, the role of the interaction between PFO and IAB in CS remains unclear. METHODS: This case-control study enrolled 256 patients with CS and 156 individuals without a history of stroke or transient ischemic attack. IAB was defined as P wave duration > 120 ms. PFO was evaluated by contrast transesophageal echocardiography, and classified as no-PFO, low-risk PFO and high-risk PFO. Multiplicative and additive interaction analysis were used to assess the interaction between PFO and IAB in CS. RESULTS: Multiplicative interaction analysis unveiled a significant interaction between IAB and low-risk PFO in CS (OR for interaction = 3.653, 95% CI, 1.115-12.506; P = 0.037). Additive interaction analysis indicated that 68.4% (95% CI, 0.333-1.050; P < 0.001) of the increased risk of CS related to low-risk PFO was attributed to the interaction with IAB. The results were robust in multivariate analysis. However, but no significant multiplicative or additive interaction was observed between IAB and high-risk PFO. When stratified by IAB, high-risk PFO was associated with CS in both patients with IAB (OR, 4.186; 95% CI, 1.617-10.839; P = 0.003) and without IAB (OR, 3.476; 95% CI, 1.790-6.750; P < 0.001). However, low-risk PFO was only associated with CS in patients with IAB (OR, 2.684; 95% CI, 1.007-7.149; P = 0.048) but not in those without IAB (OR, 0.753; 95% CI, 0.343-1.651; P = 0.479). CONCLUSION: The interaction between IAB and PFO might play an important role in CS, particularly in cases with low-risk PFO.
Asunto(s)
Foramen Oval Permeable , Bloqueo Interauricular , Humanos , Foramen Oval Permeable/complicaciones , Foramen Oval Permeable/epidemiología , Foramen Oval Permeable/diagnóstico por imagen , Femenino , Masculino , Persona de Mediana Edad , Estudios Retrospectivos , Estudios de Casos y Controles , Bloqueo Interauricular/complicaciones , Bloqueo Interauricular/epidemiología , Bloqueo Interauricular/fisiopatología , Adulto , Accidente Cerebrovascular Isquémico/epidemiología , Accidente Cerebrovascular Isquémico/complicaciones , Accidente Cerebrovascular Isquémico/diagnóstico por imagen , Accidente Cerebrovascular Isquémico/etiología , Factores de Riesgo , Anciano , Ecocardiografía Transesofágica/métodosRESUMEN
BACKGROUND: Atrial fibrillation (AF) is the most common type of arrhythmia. Heart rate variability (HRV) may be associated with AF risk. The aim of this study was to test HRV indices and arrhythmias as predictors of paroxysmal AF based on 24-hour dynamic electrocardiogram recordings of patients. METHODS: A total of 199 patients with paroxysmal AF (AF group) and 204 elderly volunteers over 60 years old (Control group) who underwent a 24-hour dynamic electrocardiogram from August 2022 to March 2023 were included. Time-domain indices, frequency-domain indices, and arrhythmia data of the two groups were classified and measured. Binary logistic regression analysis was performed on variables with significant differences to identify independent risk factors. A nomogram prediction model was established, and the sum of individual scores of each variable was calculated. RESULTS: Gender, age, body mass index and low-density lipoprotein (LDL) did not differ significantly between AF and Control groups (p > 0.05), whereas significant group differences were found for smoking, hypertension, diabetes, and high-density lipoprotein (HDL) (p < 0.05). The standard deviation of all normal to normal (NN) R-R intervals (SDNN), standard deviation of 5-minute average NN intervals (SDANN), root mean square of successive NN interval differences (rMSSD), 50 ms from the preceding interval (pNN50), low-frequency/high-frequency (LF/HF), LF, premature atrial contractions (PACs), atrial tachycardia (AT), T-wave index, and ST-segment index differed significantly between the two groups. Logistic regression analysis identified rMSSD, PACs, and AT as independent predictors of AF. For each unit increase in rMSSD and PACs, the odds of developing AF increased by 1.0357 and 1.0005 times, respectively. For each unit increase in AT, the odds of developing AF decreased by 0.9976 times. The total score of the nomogram prediction model ranged from 0 to 110. CONCLUSION: The autonomic nervous system (ANS) plays a pivotal role in the occurrence and development of AF. The individualized nomogram prediction model of AF occurrence contributes to the early identification of high-risk patients with AF.
Asunto(s)
Fibrilación Atrial , Frecuencia Cardíaca , Humanos , Fibrilación Atrial/fisiopatología , Fibrilación Atrial/diagnóstico , Fibrilación Atrial/epidemiología , Frecuencia Cardíaca/fisiología , Masculino , Femenino , Persona de Mediana Edad , Anciano , Factores de Riesgo , Electrocardiografía/métodos , Nomogramas , Electrocardiografía Ambulatoria/métodos , Análisis de Datos , Arritmias Cardíacas/fisiopatología , Arritmias Cardíacas/diagnóstico , Arritmias Cardíacas/epidemiología , Arritmias Cardíacas/etiologíaRESUMEN
Immunotherapy has shown remarkable efficacy in various cancer treatments. However, enhanced T-cell immune surveillance can lead to aberrant immune responses, resulting in severe immune checkpoint inhibitor-related adverse events. This is a case report of a patient previously treated with immune checkpoint inhibitors who presented with ST-segment elevation without abnormal troponin and cardiac enzyme spectrum test results. Cardiac toxicity of immune checkpoint inhibitors mainly manifests as acute immune-mediated myocarditis. While Brugada phenocopy is commonly caused by fever, electrolyte abnormalities, tricyclic/tetracyclic antidepressants, and marijuana use, we suspect that it was induced by immune checkpoint inhibitors in the current case.