Background: Epilepsy is a chronic neurological disorder characterized by recurrent seizures. Sleep disturbances may increase seizure recurrence, yet evidence on their association remains limited, particularly in Indonesia.
Objective: This study aimed to analyze the association between sleep quality and seizure recurrence, as well as its correlation with seizure frequency among patients with epilepsy.
Methods: This study employed a quantitative approach using an analytical observational design with a cross-sectional framework. The study participants were patients with epilepsy who met the predefined inclusion criteria. Data regarding sleep quality, sleep patterns, and excessive daytime sleepiness were collected using validated questionnaire instruments, while seizure recurrence data were obtained from patients’ clinical histories.
Results: A total of 34 patients were included in the analysis. Poor sleep patterns were significantly associated with seizure recurrence (p < 0.001; OR = 75.0; 95% CI: 6.99–805.23), although the wide confidence interval indicates uncertainty due to the small sample size. Excessive daytime sleepiness was not significantly associated with seizure recurrence (p = 0.078). Sleep patterns showed a strong correlation with seizure frequency (r = 0.807; p < 0.001), while excessive daytime sleepiness demonstrated a moderate correlation (r = 0.456; p = 0.007). The Pittsburgh Sleep Quality Index (PSQI) demonstrated good discriminatory ability for seizure recurrence (AUC = 0.931; cut-off value ≥5).
Conclusion: Poor sleep quality is significantly associated with seizure recurrence and increased seizure frequency among patients with epilepsy. Routine screening using the Pittsburgh Sleep Quality Index (PSQI) with a cut-off value of ≥5 may support seizure management and requires further validation through longitudinal studies.
Bryan Horiando, C. N. Mahama, Ansye Momole et al.· Glosains Jurnal Sains Global...· 0 citations
Background: Status Epilepticus (SE) is a neurological emergency with high morbidity and mortality. Accurate early predictions of death are essential to guide clinical management, especially in resource-constrained settings. STESS and m-STESS are assessment systems developed to stratify the severity of SE and predict short- and medium-term mortality.
Objective: This study aimed to compare the performance of STESS and m-STESS in predicting 7-day and 30-day mortality among SE patients and to evaluate their clinical utility in the emergency department.
Methods: A retrospective cohort study was conducted at Prof. Dr. R. D. Kandou Hospital Manado, Indonesia, including 90 patients diagnosed with SE. Clinical and demographic data were collected from medical records, including levels of consciousness, seizure type, previous history, and mRS scores. Predictive performance was analyzed using ROC curves, calculating sensitivity, specificity, positive and negative predictive values, and total accuracy. Comparisons between STESS and m-STESS were conducted for 7-day and 30-day mortality outcomes.
Results: The 7-day mortality rate was 35.6% and increased to 56.7% at 30 days. m-STESS showed higher sensitivity and accuracy (90.6%) (83.3% at 30 days) compared to STESS (82.2% at 30 days). ROC analysis showed m-STESS had superior predictive performance, especially for 30-day mortality, although the difference at 7 days was not statistically significant. Both scores correlated significantly with mortality, and higher scores were observed among patients who died.
Conclusion: m-STESS provides a more accurate tool for predicting SE mortality and can improve clinical decision-making in emergency settings. Further multicenter studies are recommended to validate and optimize the scoring system.
Patricia Tedja Hermanto, H. Khosama, Rizal Tumewah et al.· Glosains Jurnal Sains Global...· 0 citations
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