METHODS: A cross-sectional study was carried out where routine EEG assessment was performed in 206 consecutive acute stroke patients without seizures. The demographic data and clinical stroke assessment were collated using the National Institutes of Health Stroke Scale (NIHSS) score with neuroimaging. Associations between EEG abnormalities and clinical features, stroke characteristics, and NIHSS scores were evaluated.
RESULTS: The mean age of the study population was 64.32 ± 12 years old, with 57.28% consisting of men. The median NIHSS score on admission was 6 (IQR 3-13). EEG was abnormal in more than half of the patients (106, 51.5%), which consisted of focal slowing (58, 28.2%) followed by generalized slowing (39, 18.9%) and epileptiform changes (9, 4.4%). NIHSS score was significantly associated with focal slowing (13 vs. 5, p
PATIENTS AND METHODS: We designed a case-control study where patients admitted with PSS were recruited with consent. Controls admitted for stroke without seizure were then included. Suitability based on exclusion criteria was ensured before recording their sociodemographic and clinical data. An EEG was performed and read by two certified neurologists before the data was analyzed.
RESULTS: We recruited 180 participants, 90 cases and 90 matched controls. Gender (p=0.013), race (p=0.015), dyslipidemia (p<0.001), prior stroke (p<0.031), large artery atherosclerosis (p<0.001), small vessel occlusions (p<0.001), blood pressure on presentation (p<0.028) and thrombolysis administration (p<0.029) were significantly associated with the occurrence of PSS. An increase in odds of PSS was observed in the male gender (1.974), dyslipidemia (3.480), small vessel occlusions (4.578), and in participants with epileptiform changes on EEG (3.630). Conversely, lower odds of PSS were seen in participants with high blood pressure on presentation (0.505), large artery atherosclerosis (0.266), and those who underwent thrombolysis (0.319).
CONCLUSION: This study emphasized that identifying post-stroke seizures may be aided by EEGs and recognizing at-risk groups, which include males of Chinese descent in Asia, dyslipidemia, small vessel occlusions, those with low to normal blood pressure on presentation, and epileptiform changes in EEGs.
MATERIALS AND METHODS: We conducted a cross-sectional study of epilepsy patients from the neurology clinic, Hospital Canselor Tuanku Muhriz, Kuala Lumpur. The dental assessment included the decayed, missing and filled teeth (DMFT) criteria, as well as the plaque and periodontal status by dentists.
RESULTS: A total of 151 patients were recruited. The median age of onset of epilepsy was 16 (IQR 7-30) years, with generalised seizures at 59.6% and focal seizures in 40.4% of patients. Fair or poor oral health was present in 59 (39.1%) and gingivitis was seen in 65 (43%). The median DMFT decayed (D), missing (M) and filled teeth (FT) was 3 (IQR 1- 7). The median age of patients with fair or poor oral health was older (40 years, IQR 31-51) than the patients with excellent or good oral health (33 years, IQR 26-45), (p=0.014). Multivariate logistic regression analysis showed that carbamazepine (Odds Ratios, OR: 3.694; 95% Confidence Intervals, 95%CI: 1.314, 10.384) and hypertension (OR 6.484; 95%CI: 1.011, 41.594) are the risk factors for fair or poor oral health. Phenytoin use is 4.271 times more likely to develop gingivitis (OR 4.271; 95% CI: 1.252, 14.573).
CONCLUSION: Factors that contribute to fair or poor oral health include age, antiseizure medications like phenytoin and carbamazepine, and hypertension. Effective preventive strategies should be implemented to maintain oral health in epilepsy patients.