Situación de la epilepsia en México y América Latina

Noriega-Morales, Guillermo; Shkurovich-Bialik, Paul

doi:10.35366/95680

Cited by 5 publications

(6 citation statements)

References 36 publications

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“…Seizure prevalence in Latin America varies according to geographic area and ranges from 3.9 to 42.2 per 1000 persons. 17 Meanwhile, incidence of unprovoked seizures has been reported to be of 23–61 per 100 000 person‐years. 18 , 19 Although not directly comparable with these estimates, the extremely low incidence observed in our study does not suggest causality between COVID‐19 vaccination and seizures.…”

Section: Discussionmentioning

confidence: 99%

“…When excluding patients with history of epilepsy and with a competing cause for seizures, the events are even rarer, with fewer than two cases per million doses for any given vaccine. Seizure prevalence in Latin America varies according to geographic area and ranges from 3.9 to 42.2 per 1000 persons 17 . Meanwhile, incidence of unprovoked seizures has been reported to be of 23–61 per 100 000 person‐years 18,19 .…”

Section: Discussionmentioning

confidence: 99%

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Seizures following COVID‐19 vaccination in Mexico: A nationwide observational study

et al. 2022

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The COVID-19 pandemic led to the development and emergency approval of an array of effective vaccines against SARS-CoV-2. Given the relatively small number of patients included in vaccine trials, postapproval epidemiological surveillance is crucial to detect infrequent vaccine-related adverse events. We conducted a nationwide retrospective descriptive study evaluating the incidence of seizures among recipients of SARS-CoV-2 vaccines in Mexico from December 24, 2020 (date of administration of first doses nationwide) to October 29, 2021. Among 81 916 351 doses of any vaccine that were administered, we documented seizures in 53 patients, of which 31 (60%) were new onset seizures. The incidence rate of seizures per million doses was highest for mRNA-1273 (Moderna) with 2.73 per million, followed by BNT162b2 (Pfizer-BioNTech) with 1.02 per million, and Ad5-nCoV (CanSino) with 1.01 per million. Thus, we found that seizures following SARS-CoV-2 vaccination are exceedingly rare events.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Seizures following COVID‐19 vaccination in Mexico: A nationwide observational study

et al. 2022

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“…Epilepsy is one of the most common neurological diseases, affecting between 50 and 65 million people of all ages, races, social classes, and geographic locations [1,3]. It is considered by some authors that around 8% of the general population will suffer an epileptic seizure throughout their life [4].…”

Section: Editorialmentioning

confidence: 99%

Need for Comprehensive Attention to Epilepsy as a Health Problem

del Busto

2024

SciBase Epidemiol Public Health

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Epilepsy is one of the most common neurological diseases, affecting between 50 and 65 million people of all ages, races, social classes, and geographic locations [1,3]. It is considered by some authors that around 8% of the general population will suffer an epileptic seizure throughout their life [4]. In addition to the recurrence of epileptic seizures, the underlying cause and the adverse effects of treatment have neurological, cognitive, psychological and social consequences that significantly affect the quality of life of those affected and make the disease a complex nosographic entity and, therefore [1], a global public health problem, which requires adequate attention [5].

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“…From January to September 2019, patients undergoing assessment or treatment for epilepsy accounted for 2,998,000 consultations in the medical units of the Mexican Institute of Social Security (IMSS) [5]. In [6], through the analysis of six epilepsy studies in Mexico, the prevalence rate was found to be between 3.9 and 42.2 cases per thousand inhabitants. The prevalence varied significantly by location.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Relation between Ictal EEG Features and XAI Explanations

Sánchez-Hernández,

Torres-Ramos,

Román-Godínez

et al. 2024

Brain Sciences

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Epilepsy is a neurological disease with one of the highest rates of incidence worldwide. Although EEG is a crucial tool for its diagnosis, the manual detection of epileptic seizures is time consuming. Automated methods are needed to streamline this process; although there are already several works that have achieved this, the process by which it is executed remains a black box that prevents understanding of the ways in which machine learning algorithms make their decisions. A state-of-the-art deep learning model for seizure detection and three EEG databases were chosen for this study. The developed models were trained and evaluated under different conditions (i.e., three distinct levels of overlap among the chosen EEG data windows). The classifiers with the best performance were selected, then Shapley Additive Explanations (SHAPs) and Local Interpretable Model-Agnostic Explanations (LIMEs) were employed to estimate the importance value of each EEG channel and the Spearman’s rank correlation coefficient was computed between the EEG features of epileptic signals and the importance values. The results show that the database and training conditions may affect a classifier’s performance. The most significant accuracy rates were 0.84, 0.73, and 0.64 for the CHB-MIT, Siena, and TUSZ EEG datasets, respectively. In addition, most EEG features displayed negligible or low correlation with the importance values. Finally, it was concluded that a correlation between the EEG features and the importance values (generated by SHAP and LIME) may have been absent even for the high-performance models.

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Situación de la epilepsia en México y América Latina

Cited by 5 publications

References 36 publications

Seizures following COVID‐19 vaccination in Mexico: A nationwide observational study

Seizures following COVID‐19 vaccination in Mexico: A nationwide observational study

Need for Comprehensive Attention to Epilepsy as a Health Problem

Evaluation of the Relation between Ictal EEG Features and XAI Explanations

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