Selly Marisdina
Neurology Department, Universitas Sriwijaya, Mohammad Hoesin Hospital

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Journal : Bioscientia Medicina : Journal of Biomedicine and Translational Research

The Concordance of Recursive Partitioning Analysis (RPA) Class Stratification with Survival of Brain Metastases Patients in Mohammad Hoesin Hospital, Palembang, Indonesia: The concordance of RPA, Diansari et al Yunni Diansari; Selly Marisdina; Afriani; Dya Anggraeni; Hediaty Syafiera
Bioscientia Medicina : Journal of Biomedicine and Translational Research Vol. 5 No. 2 (2021): Bioscientia Medicina: Journal of Biomedicine & Translational Research
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32539/bsm.v5i2.202

Abstract

A B S T R A C TIntroduction: Recursive Partitioning Analysis is one of prognostic scores, has beenvalidated to any different setting. Objective: To identify the concordance of RecursivePartitioning Analysis stratification in survival with brain metastases patients.Methods: Retrospective study was performed on brain metastases patients fromJanuary 2017 until Desember 2019 based on medical record. The follow up timestarted from the first diagnosis of brain metastases to death or last follow up. TheKaplan Meier was used to plot survival curves and the log-rank test was used toanalyse differences between groups Results: Mean overall survival time was 4,67months with 1,14 months for median survival for all patients. According to scoring,mostly (80,8%) patients were in group 3. The median survival time was 7 monthsand 2 months for group 2 and 3. Conclusion: It has shown relatively congruitysurvival in BM patients with stratification of Recursive Partitioning Analysis in ourinstitution.
Does Electroencephalography Result Affect the Success of Treatment for Epilepsy Patients ? Sri handayani Suroto; Yunni Diansari; Selly Marisdina; Nova Lestari; Sri Yani
Bioscientia Medicina : Journal of Biomedicine and Translational Research Vol. 5 No. 2 (2021): Bioscientia Medicina: Journal of Biomedicine & Translational Research
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32539/bsm.v5i1.205

Abstract

A B S T R A C TIntroduction: Approximately there is 50 million people with epilepsy in the world.Currently, pharmacological management is the most therapeutic option. However,about 30% of patients will develop drug-resistant epilepsy. Many factors arethought to affect the treatment success. This study was conducted to determinethe relationship between electroencephalographic results and epilepsy treatmentsuccess. Methods : This is cross sectional observational study. Inclusion criteriawas epileptic patients aged > 18 years and had received epilepsy treatment for atleast 1 year. The chi-square test is performed to see the relationship betweenresearch variables. Results: EEG results has an effect on the success of therapy(p 0.027). The most common type of epileptiform abnormality is sharp waves. Themost epileptiform amplitude and location were 80 microvolts and in the temporallobe. Conclusion: There is a significant relationship between EEG abnormalitiesand the epilepsy treatment success.