Electronic Theses and Dissertation

Latar belakang: gangguan fungsi kognitif merupakan komplikasi yang sering ditemukan pada pasien epilepsi dan dipengaruhi oleh berbagai faktor klinis. namun, integrasi antara faktor klinis seperti usia onset dan frekuensi bangkitan dengan parameter neurofisiologis objektif berupa gambaran elektroensefalografi (eeg) dalam satu kerangka analisis yang komprehensif masih terbatas. tujuan: penelitian ini bertujuan untuk mengevaluasi hubungan antara usia onset, frekuensi bangkitan, dan gambaran eeg dengan fungsi kognitif pada pasien epilepsi di poliklinik neurologi rsud dr. zainoel abidin banda aceh. metode: penelitian analitik observasional dengan rancangan potong lintang dilakukan pada november 2025–januari 2026 menggunakan teknik total sampling pada pasien epilepsi berusia ≥18 tahun yang memenuhi kriteria inklusi dan eksklusi. fungsi kognitif dinilai menggunakan montreal cognitive assessment versi indonesia (moca-ina), dan analisis dilakukan dengan uji regresi logistik. hasil: sebanyak 70 pasien epilepsi diikutsertakan dalam penelitian ini, dengan 46 pasien (65,7%) mengalami gangguan kognitif. median skor moca-ina adalah 24 (1–30). analisis regresi logistik menunjukkan bahwa usia onset epilepsi (b=0,006; exp(b)=1,006; p=0,784), frekuensi bangkitan (b=-0,009; exp(b)=0,991; p=0,306), dan gambaran eeg abnormal epileptiform (b=0,260; p=0,235) maupun nonepileptiform (b=0,260; p=0,054) tidak berhubungan signifikan dengan fungsi kognitif. kesimpulan: usia onset, frekuensi bangkitan, dan gambaran eeg bukan merupakan prediktor independen terhadap gangguan fungsi kognitif pada populasi ini. hasil penelitian ini menunjukkan bahwa disfungsi kognitif pada epilepsi kemungkinan dipengaruhi oleh faktor klinis atau neurobiologis lain di luar parameter konvensional. kata kunci: epilepsi, fungsi kognitif, usia onset, frekuensi bangkitan, elektroensefalografi, moca-ina.

Background: Cognitive impairment is a common complication in patients with epilepsy and is influenced by various clinical factors. However, the integration of clinical factors such as age at onset and seizure frequency with objective neurophysiological parameters, particularly electroencephalographic (EEG) findings, within a comprehensive analytical framework remains limited. Objective: This study aimed to evaluate the association between age at onset, seizure frequency, and EEG findings with cognitive function in patients with epilepsy at the Neurology Outpatient Clinic of Dr. Zainoel Abidin General Hospital, Banda Aceh. Methods: An analytic observational study with a cross-sectional design was conducted from November 2025 to January 2026 using a total sampling technique in patients aged ≥18 years who met the inclusion and exclusion criteria. Cognitive function was assessed using the Indonesian version of the Montreal Cognitive Assessment (MoCA-INA), and analysis was performed using the Chi-squared test. Results: A total of 70 patients with epilepsy were included in this study, of whom 46 (65.7%) had cognitive impairment. The median MoCA-Ina score was 24 (range, 1–30). Logistic regression analysis showed that age at epilepsy onset (B=0.006; Exp(B)=1.006; p=0.784), seizure frequency (B=−0.009; Exp(B)=0.991; p=0.306), and abnormal EEG findings, including epileptiform abnormalities (B=0.260; p=0.235) and non-epileptiform abnormalities (B=0.260; p=0.054), were not significantly associated with cognitive function. Conclusion: Age at onset, seizure frequency, and EEG findings were not independent predictors of cognitive impairment in this cohort. These findings suggest that cognitive dysfunction in epilepsy may be influenced by other clinical or neurobiological factors beyond conventional clinical parameters. Keywords: epilepsy, cognitive function, age at onset, seizure frequency, electroencephalography, MoCA-INA.