Objective: Epilepsy is a complex disease with serious consequences for the quality of life and prognosis of those affected. The importance of comorbidities in disease progression and prognosis has gained increasing recognition in recent years. In the present study, we investigated the potential association between epilepsy and heart failure in an outpatient cohort in Germany.
Methods: Using the IQVIA Disease Analyzer database, we identified a total of 9646 patients with late-onset epilepsy and a matched cohort of equal size without late-onset epilepsy who were followed up between 2005 and 2018. Cox regression models were used to evaluate the potential association between epilepsy and heart failure.
Results: Within 10 years of the index date, 28.6% of patients with epilepsy and 20.4% of patients without epilepsy had been diagnosed with HF (log-rank p < 0.001). The incidences were 36.3 cases per 1,000 patient years in the epilepsy cohort versus 23.1 cases in the non-epilepsy cohort. In regression analyses, epilepsy was significantly associated with the incidence of HF (Hazard Ratio (HR): 1.56, p < 0.001). The association was somewhat stronger in men (HR: 1.63, p < 0.001) than in women (HR: 1.49, p < 0.001). The HR in the epilepsy group decreased with increasing age.
Conclusion: Our study provides strong evidence that epilepsy is associated with an increased incidence of heart failure. This finding should help raise awareness of this important comorbidity and could trigger specific cardiovascular screening programs in patients with epilepsy.
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http://dx.doi.org/10.1016/j.yebeh.2021.108393 | DOI Listing |
Acta Pharmacol Sin
January 2025
Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, 221004, China.
Patients suffering epilepsy caused by the gain-of-function mutants of the hKCNT1 potassium channels are drug refractory. In this study, we cloned a novel human KCNT1B channel isoform using the brain cDNA library and conducted patch-clamp and molecular docking analyses to characterize the pharmacological properties of the hKCNT1B channel using thirteen drugs. Among cinchona alkaloids, we found that hydroquinine exerted the strongest blocking effect on the hKCNT1B channel, especially the F313L mutant.
View Article and Find Full Text PDFBMJ Case Rep
January 2025
Radiodiagnosis Department, Dr Ram Manohar Lohia Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.
Postseizure brain changes on imaging are well-known facts. Many times, oedematous brain changes can mimic ischaemic stroke. Crossed cerebellar diaschisis refers to a depression in metabolism, affecting the cerebellar hemisphere due to contralateral supratentorial abnormalities.
View Article and Find Full Text PDFNeuroscience
January 2025
Laboratory of Epileptogenesis, Nencki Institute of Experimental Biology of Polish Academy of Sciences, 3 Pasteur St, 02-093 Warsaw, Poland. Electronic address:
Our previous in silico data indicated an overrepresentation of the ZF5 motif in the promoters of genes in which circadian oscillations are altered in the ventral hippocampus in the pilocarpine model of temporal lobe epilepsy in mice. In this study, we test the hypothesis that the Zbtb14 protein oscillates in the hippocampus in a diurnal manner and that this oscillation is disrupted by epilepsy. We found that Zbtb14 immunostaining is present in the cytoplasm and cell nuclei.
View Article and Find Full Text PDFNeuropediatrics
January 2025
Pediatric Neurology, Jena University Hospital, Jena, Germany.
Objective Infantile Spasms (IS) are an age-specific epilepsy syndrome associated with poor outcome. Sustained and early spasm-control remains the main goal of therapy. We aimed to evaluate a unique pulsatile dexamethasone therapy regime in children with IS, applying a prolonged first pulse in cases of insufficient spasm-control.
View Article and Find Full Text PDFJ Neural Eng
January 2025
Hangzhou Dianzi University, School of Automation, Hangzhou Dianzi University, Hangzhou 310052, China, Hangzhou, Zhejiang, 310018, CHINA.
The identification of spikes, as a typical characteristic wave of epilepsy, is crucial for diagnosing and locating the epileptogenic region. The traditional seizure detection methods lack spike features and have low sample richness. This paper proposes a seizure detection method with spike-based phase locking value (PLV) functional brain networks and multi-domain fused features.
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