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Predictive factors for early identification of pharmacoresistant epilepsy (CROSBI ID 228886)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Sporiš, Davor ; Bašić, Silvio ; Šušak, Ivana ; Čolak, Zrinka ; Marković, Ivana Predictive factors for early identification of pharmacoresistant epilepsy // Acta clinica Croatica, 52 (2013), 1; 11-15

Podaci o odgovornosti

Sporiš, Davor ; Bašić, Silvio ; Šušak, Ivana ; Čolak, Zrinka ; Marković, Ivana

engleski

Predictive factors for early identification of pharmacoresistant epilepsy

Epilepsy is one of the most common neurologic diseases. Despite improved diagnostic and therapeutic possibilities seizures remain refractory in more than 30% of patients with epilepsy. The aim of this study was to analyze the possible predictive factors for the development of pharmacoresistance in cryptogenic partial complex epilepsy. Patients were divided into two groups based on the number of seizures, clinical response to antiepileptic drugs and duration of the disease. One group consisted of patients resistant to anticonvulsant drugs and the other group of patients with well controlled seizures. Disease onset, electroencephalographic (EEG) findings and frequency of secondary generalization of partial complex seizures were analyzed in both groups. The results obtained showed a statistically significantly earlier occurrence of first epileptic seizure in the group of patients with pharmacoresistant epilepsy. The group of pharmacoresistant patients also had a statistically significantly higher proportion of secondary generalization of complex partial seizures as well as a higher proportion of patients with focal changes in EEG. These findings suggest that the onset of the disease at an earlier age, focal changes in EEG and secondary generalization of partial seizures may be early predictive factors for the development of pharmacoresistance in patients with cryptogenic partial complex epilepsy.

Complex partial epilepsy ; Pharmacoresistant epilepsy ; Refractory epilepsy ; Seizure ; Predictive factors

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Podaci o izdanju

52 (1)

2013.

11-15

objavljeno

0353-9466

Povezanost rada

Kliničke medicinske znanosti

Indeksiranost