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1.
Cureus ; 16(5): e59921, 2024 May.
Article in English | MEDLINE | ID: mdl-38854242

ABSTRACT

Introduction Epilepsy is a complex prevalent seizure disorder impacting a significant number of individuals worldwide. Those with epilepsy face the possibility of experiencing sudden unexpected death in epilepsy (SUDEP). When examining the relationship between epilepsy and SUDEP, cardiac-related deaths (CRD) may be considered a driving force. We hypothesize that patients with epilepsy are at higher risk of CRD than those without epilepsy. While utilizing the National Institutes of Health (NIH) All of Us Researcher Program (AoU) database, we also explored the relationship between epilepsy and cardiac-related deaths and propose potential connective mechanisms between the two conditions. Methods Baseline data from the National Institutes of Health All of Us Researcher Program was used to evaluate the relationship between cardiac-related deaths and epilepsy. A retrospective cohort study was conducted where individuals with epilepsy and without epilepsy were matched by inclusion and exclusion criteria including death, cardiac-related death, and epilepsy. Additionally, the prevalence of cardiac-related deaths was compared to neurological, respiratory, and hepatic-related deaths for patients with epilepsy to identify emerging causes of SUDEP. Results Among patients with a history of epilepsy, the prevalence of CRD was 45 (17.3%) compared to 305 (11%) in the control group. This difference was statistically significant by p<0.0042 with an odds ratio (OR)=1.698, 95%CI 1.214-2.379. Additionally, there was the highest number of significant cardiac-related deaths amongst patients with epilepsy compared to patients without epilepsy as opposed to different mechanisms of death such as acute respiratory failure, acute hepatic failure, and hypoxic brain injury. Conclusion This study indicates that epileptic patients have a statistically significant higher prevalence of cardiac-related deaths. Additionally, cardiac-related deaths constitute a significantly higher proportion of fatalities amongst patients with epilepsy compared to other causes of SUDEP. Potential mechanisms for these findings may include seizure-induced arrhythmias, hypoxia-induced cardiac arrest, autonomic dysregulation, and neurotransmitter disequilibrium. The results of our study suggest promising directions for future research in identifying predictors of cardiac-related deaths with proposed cardiac monitoring protocols as preventative strategies for epileptic patients in efforts to reduce the prevalence of SUDEP.

2.
Cureus ; 16(1): e53321, 2024 Jan.
Article in English | MEDLINE | ID: mdl-38435901

ABSTRACT

The anterior communicating artery (ACoA) plays a pivotal role in maintaining cerebral hemodynamics, as its diameter is a major determinant of blood collateralization through the circle of Willis following internal carotid artery occlusion. While variations of this artery are not uncommon, data on their clinicopathologic relevance are limited. In this report, we present our observation from a fresh cadaver of a male individual who had succumbed to cardiac causes. The circle of Willis displayed a duplicated ACoA with atherosclerosis that predominantly affected the posterior horn while sparing the anterior horn. The anterior horn was characterized by its shorter length and larger diameter compared to the posterior horn. The paper focuses on elucidating the microsurgical anatomy of this particular ACoA variant and exploring potential mechanisms that may underlie the pattern of atherosclerotic distribution within the circle of Willis. Based on this report, while further evidence is needed for confirmation, it is plausible that the existence of a duplicated ACoA may offer a protective mechanism, ensuring uninterrupted collateral circulation in the event of a blockage in one of the horns. Further analysis of the ACoA and its pattern of involvement in intracranial atherosclerosis is warranted, as the atherosclerotic patterns in this region hold clinical and pathological significance.

3.
Sci Total Environ ; 764: 143963, 2021 Apr 10.
Article in English | MEDLINE | ID: mdl-33385644

ABSTRACT

Consumption of licit and/or illicit compounds during sporting events has traditionally been monitored using population surveys, medical records, and law enforcement seizure data. This pilot study evaluated the temporal and geospatial patterns in drug consumption during a university football game from wastewater using liquid chromatography tandem mass spectrometry (LC-MS/MS). Untreated wastewater samples were collected from three locations within or near the same football stadium every 30 min during a university football game. This analysis leveraged two LCMS/ MS instruments (Waters Acquity TQD and a Shimadzu 8040) to analyze samples for 58 licit or illicit compounds and some of their metabolites. Bayesian multilevel models were implemented to estimate mass load and population-level drug consumption, while accounting for multiple instrument runs and concentrations censored at the lower limit of quantitation. Overall, 29 compounds were detected in at least one wastewater sample collected during the game. The 10 most common compounds included opioids, anorectics, stimulants, and decongestants. For compounds detected in more than 50% of samples, temporal trends in median mass load were correlated with the timing of the game; peak loads for cocaine and tramadol occurred during the first quarter of the game and for phentermine during the third quarter. Stadium-wide estimates of the number of doses of drugs consumed were rank ordered as follows: oxycodone (n = 3246) > hydrocodone (n = 2260) > phentermine (n = 513) > cocaine (n = 415) > amphetamine (n = 372) > tramadol (n = 360) > pseudoephedrine (n = 324). This analysis represents the most comprehensive assessment of drug consumption during a university football game and indicates that wastewater-based epidemiology has potential to inform public health interventions focused on reducing recreational drug consumption during large-scale sporting events.


Subject(s)
Wastewater , Water Pollutants, Chemical , Bayes Theorem , Chromatography, Liquid , Humans , Pilot Projects , Substance Abuse Detection , Tandem Mass Spectrometry , Universities , Wastewater/analysis , Water Pollutants, Chemical/analysis
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