Browsing by Author "Kaya, Ergi"

Now showing 1 - 19 of 19

Clinical Comparison of Early and Late Onset Multiple Sclerosis at Age 35: Implications for Disease Progression and Management
(Sage Publications Ltd, 2024) Kaya, Ergi; Aslan, Taha; Ozdogar, Asiye Tuba; Alizada, Said; Ozakbas, Serkan
Comparative Analysis of Cognitive and Physical Characteristics in Late-Onset, Adult-Onset and Early-Onset Multiple Sclerosis Patients
(Elsevier Sci Ltd, 2024) Ozakbas, Serkan; Kaya, Ergi; Aslan, Taha; Ozdogar, Asiye Tuba; Baba, Cavid
Background: Late-onset multiple sclerosis (LOMS or L; MS) and early-onset MS (EOMS or E) are less common, and their prognosis can be different. To characterize the demographic and clinical features, and clinical outcomes of LOMS and EOMS patients, comparing them to adult-onset MS (AOMS or A) patients. Methods: The study was conducted as a secondary analysis of a prospective study. The participants were divided into three groups according to age of MS onset: early onset (<18 years of age), adult-onset (20-40 years of age), and late-onset (>55 years of age). Demographic variables, oligoclonal bands, IgG index, and Expanded Disability Status Scale (EDSS) score in admission, first year, second year and current EDSS were evaluated. The Timed 25- Foot Walk Test (T25FW), Timed Up and Go (TUG), Multiple Sclerosis Walking Scale-12, Single Leg Standing Test, Activity-Specific Balance Confidence Scale, Nine-Hole Peg Test, Epworth Sleepiness Scale and Restless Legs Syndrome Severity Scale were performed. Appropriate statistical analysis was made. Results: A total of 658 pwMS was included in the study and divided into three groups: EOMS (n n = 117), AOMS (n n = 499), and LOMS (n n = 42). Statistically significant differences were determined between groups in terms of age [L (mean:59.86+5.45 +5.45 years-y-)> A (36.87+9.12 +9.12 y)> E (26.56 +8.85 y), p < 0.001], education level, current EDSS score (L L > E, p < 0.001), EDSS score in first admission, EDSS score in the first year, EDSS score in the second year (L L > A > E, p < 0.001), reached an EDSS score 6 (E E > L p = 0.001, E > A p = 0.015), disease duration (E E > A, E > L , mean E = 11.66+9.7 +9.7 y, A = 7.99+7.4 +7.4 y, L = 6.31+4.67 +4.67 y) time switching second-line treatment to the third line (E E > L p < 0.001, A > L p = 0.002, mean E = 171.73+83.29 +83.29 months-m-, A = 136.13+65.75 +65.75 m, L = 65.85 +45.96 m), number of relapses (A A > E > L , median E = 4.0, A = 3.0, L = 2.0), distribution of MS type and oligoclonal band types. Significant differences were found in T25FW and TUG. Post-hoc analysis showed that participants in the LOMS group have longer T25FW (mean L = 7.8 + 6.11, A = 6.25+5.09, +5.09, E = 5.72+3.13, +3.13, p = 0.011) and TUG (mean L = 11.01+5.53, +5.53, A = 9.57+8.04, +8.04, E = 8.38+5.51, +5.51, p = 0.007) times than the AOMS and EOMS groups. Conclusion: Our result revealed that individuals with LOMS face elevated disability levels and a heightened propensity to transition from first-line treatments to more advanced therapeutic interventions. LOMS have worse lower extremity functional status than AOMS and EOMS patient. Clinical evaluations and treatment choices require more attention in LOMS. However, according to the low number of LOMS in our cohort, these results were considered cautious, and more wide and multi-center studies must be designed.
Comparative Analysis of Disease Progression and Disability Accumulation Between Early Onset and Adult Onset Multiple Sclerosis Patients at a Decade Post-Diagnosis
(Sage Publications Ltd, 2024) Aslan, Taha; Kaya, Ergi; Ozdogar, Asiye Tuba; Yapici, Nurbanu; Ozakbas, Serkan
Comparative Analysis of Restless Legs Syndrome and Neuropathic Pain Impact on Walking and Balance in Multiple Sclerosis: Clinical and Radiographic Insights
(Sage Publications Ltd, 2024) Ozdogar, Asiye Tuba; Kaya, Ergi; Ozcelik, Sinem; Unal, Gozde Deniz; Ozakbas, Serkan
Comparison of Early-Onset and Very Early-Onset People With Multiple Sclerosis Based on Cognitive and Physical Assessments
(Sage Publications Ltd, 2023) Kaya, Ergi; Ozdogar, Asiye Tuba; Karakas, Hilal; Sagici, Ozge; Ozakbas, Serkan
Determinants of Postpartum Relapse in Multiple Sclerosis: a Comprehensive Analysis of Demographic and Clinical Factors
(Sage Publications Ltd, 2024) Alizada, Said; Samadzade, Ulvi; Yapici, Nurbanu; Kaya, Ergi; Ozdogar, Asiye Tuba; Ozakbas, Serkan
Development of a Machine Learning Model to Predict the Expanded Disability Status Scale in Multiple Sclerosis Patients
(Elsevier Sci Ltd, 2026) Ozdogar, Asiye Tuba; Emec, Murat; Kaya, Ergi; Zengin, Ela Simay; Ozcanhan, Mehmet Hilal; Ozakbas, Serkan
Objective: The assessment of disability in multiple sclerosis (MS) patients is crucial for treatment decisions and prognosis estimation. The Expanded Disability Status Scale (EDSS) provides a standardized way to quantify disability in MS. However, predicting EDSS scores can be challenging due to the complex and heterogeneous nature of the disease. Machine learning techniques offer a promising approach to predict EDSS scores based on various patient characteristics. Methods: 231 people with MS (pwMS) who had an assessment of physical, psychosocial, and cognitive functions in three timelines (baseline (T0), first year (T1), and second year (T2)) were enrolled. The dataset used for the study consists of 126 features. Feature selection was based on feature saliency and correlation analysis. Three machine learning models -XGBoost, Random Forest, and Linear Regression -were trained on the selected features. Hyperparameter tuning was also carried out on the models. Model performance was evaluated using standard evaluation metrics, including MAE, MSE, and R2. Results: The Machine Learning model based on the XGBoost algorithm performed best in predicting EDSS scores (T2). The MAE value obtained with the XGBoost model is 0.2361, the MSE value is 0.2408, and the R2 value is 0.9705. These results indicate that XGBoost's predictive ability on the current dataset is promising. Conclusion: Our study demonstrates the feasibility of using machine learning techniques to predict EDSS scores in MS patients. The developed models show promising performance and have the potential to enhance clinical decision-making and patient management in MS care.
Development of Restless Legs Syndrome Severity Prediction Models for People with Multiple Sclerosis Using Machine Learning
(Galenos Publ House, 2025) Kaya, Ergi; Emec, Murat; Ozdogar, Asiye Tuba; Zengin, Eta Simay; Karakas, Hitat; Dastan, Seda; Ozakbas, Serkan
Objectives: This study aimed to develop an artificial intelligence-supported restless legs syndrome (RLS) severity prediction model for people with multiple sclerosis using machine learning methods. Patients and methods: Twenty-three individuals (14 females, 7 males; mean age: 40.6 +/- 10.9 years; range, 33 to 44 years) with multiple sclerosis with RLS were included in this observational study between March 2022 and March 2023. The International Restless Legs Syndrome Study Group Rating Scale was used to determine the RLS severity of the participants. The age, sex, body mass index, regular exercise habits, disease duration, Expanded Disability Status Scale (EDSS), estimated maximal aerobic capacity (VO2max), Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale, Multiple Sclerosis International Quality of Life Questionnaire, Multiple Sclerosis Walking Scale-12 (MSWS-12), and timed 25-foot walk test were determined as predictive variables. A correlation matrix was created. DecisionTree, RandomForest, and XGBoost machine learning methods were used to develop a model for predicting the RLS severity. Results: According to the obtained correlation matrix, PSQI scores strongly correlated with RLS severity (Pearson r=0.76). Meanwhile, EDSS scores (0.49), MSWS-12 scores (0.45), and disease duration (0.45) showed moderate correlations with RLS. Among the three different meachine learning methods, XGBoost demonstrated the best performance in predicting the severity of RLS, with a mean absolute error of 1.94, mean squared error of 4.58, mean absolute percentage error of 0.0735, and a test accuracy of 92.65%. The results showed that the severity of RLS could be estimated with 92.65% accuracy. Conclusion: This study showed a strong correlation between PSQI scores and RLS severity and that RLS severity could be predicted using machine learning methods.
Do Brand-Name and Generic-Brand Drugs of Dimethyl Fumarate Show Similar Efficacy and Safety Profiles in Relapsing-Remitting Multiple Sclerosis
(Sage Publications Ltd, 2023) Kaya, Ergi; Sagici, Ozge; Ozdogar, Asiye Tuba; Ozcelik, Sinem; Ozakbas, Serkan
The Effect of Cognitive Impairment on Six Spot Step Test Performance in People With Multiple Sclerosis
(Sage Publications Ltd, 2023) Dastan, Seda; Sagici, Ozge; Ozdogar, Asiye Tuba; Kaya, Ergi; Ozakbas, Serkan
Efficacy of Original Fingolimod Vs. Generic-Brand Drugs in Treating Multiple Sclerosis: a Comparative Study Using Real-World Data From Turkey
(Sage Publications Ltd, 2023) Ozcelik, Sinem; Sagici, Ozge; Ozdogar, Asiye Tuba; Kaya, Ergi; Ozakbas, Serkan
Exploring the Impact: an Analysis of Cladribine Treatment in Multiple Sclerosis Management
(Sage Publications Ltd, 2024) Ozakbas, Serkan; Kaya, Ergi; Simsek, Yasemin; Ozdogar, Asiye Tuba
Factors Related To Restless Leg Syndrome in Neuromyelitis Optica Spectrum Disorder
(Elsevier Sci Ltd, 2025) Ozdogar, Asiye Tuba; Karakas, Hilal; Dastan, Seda; Kaya, Ergi; Sagici, Ozge; Ozcelik, Sinem; Ozakbas, Serkan
Objective: Although the feeling of unrest in the legs is frequently reported as a sensory symptom by people with Neuromyelitis Optica Spectrum Disorder (NMOSD, pwNMOSD), there are limited studies to investigate the relationship between Restless Legs Syndrome (RLS) and NMOSD. The study's primary aim is to determine the frequency and severity of RLS in pwNMOSD. The other aim is to compare the sleep quality, daytime sleepiness level, quality of life, fatigue, magnetic resonance imaging results, and cognitive functions in RLS-positive and negative pwNMOSD. Methods: The RLS diagnosis was performed with RLS-Diagnostic Index criteria. The patient-reported outcomes were RLS Severity Rating Score, The Preference-Based Multiple Sclerosis Index (PBMSI), the Modified Fatigue Impact Scale (MFIS), Pittsburgh Sleep Quality Index (PSQI), and Epworth Sleepiness Scale (ESS). Cognitive function was assessed with The Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) battery. The neurologist recorded the demographic and clinical characteristics of the participants. Results: The RLS was detected in 17 (21.5 %) of the 79 pwNMOSD participants. Fifty-six pwNMOSD were reached to assess cognitive functions and patient-reported outcomes. The rate of RLS was 60.71 % in this group. The PBMSI, PSQI, MFIS, and ESS scores were significantly different in RLS-positive participants than in RLS-negative (p < 0.05). Moreover, while participants' visuospatial and verbal learning was similar, the processing speed was slow in the RLS-positive group (p > 0.05). Conclusions: Our preliminary results have shown that the RLS frequency is high in pwNMOSD. This study suggests a connection between the presence of RLS and worse sleep quality, fatigue level, processing speed, and quality of life in the NMOSD population. However, our results should be considered with the fact that the study has a small sample size and needs future studies to confirm our results for solid evidence.
Long-Term Effects of Ocrelizumab on Motor and Cognitive Functions in Progressive Multiple Sclerosis: A Three-Year Follow-Up Study
(Sage Publications Ltd, 2025) Kaya, Ergi; Ozdogar, Asiye Tuba; Unal, Gozde Deniz; Kahraman, Turhan; Ozakbas, Serkan
Pregnancy in Multiple Sclerosis and Its Impact on Disease Course
(Sage Publications Ltd, 2024) Aslan, Taha; Kaya, Ergi; Simsek, Yasemin; Ozcelik, Sinem; Ozdogar, Asiye Tuba; Ozakbas, Serkan
Prevalence and Related Factors of Restless Legs Syndrome in Pediatric-Onset Multiple Sclerosis
(Sage Publications Ltd, 2024) Ozdogar, Asiye Tuba; Kaya, Ergi; Yapici, Nurbanu; Ozakbas, Serkan
Use of High-Efficacy Therapies of Early- and Late-Onset Multiple Sclerosis Compared To Adult-Onset Multiple Sclerosis
(Sage Publications Ltd, 2024) Ozakbas, Serkan; Aslan, Taha; Kaya, Ergi; Alizada, Said; Ozdogar, Asiye Tuba
Which One Is More Progressive; Primary, or Secondary Progressive Multiple Sclerosis
(Sage Publications Ltd, 2024) Ozcelik, Sinem; Kaya, Ergi; Ozdogar, Asiye Tuba; Ozakbas, Serkan
Yeni Teşhis Konulan Multipl Sklerozlu Bireylerde Servikal Omurilik Lezyonunun Üst Ekstremite Fonksiyonu Üzerindeki Etkisinin Değerlendirilmesi
(2025) Cinar, Bilge Piri; Ozakbas, Serkan; Kaya, Ergi; Baba, Cavid; Özdoğar, Asiye Tuba; Yapıcı, Nurbanu Aygündüz; Karakas, Hilal
Amaç: Çok erken evre multipl skleroz (MS) hastalarında servikal kord lezyonlarının üst ekstremite fonksiyonları üzerindeki etkisini değerlendirmek ve bu popülasyonda üst ekstremite fonksiyonlarını etkileyen faktörleri tanımlamak. Gereç ve Yöntem: Çalışmaya 245 ilk semptomlardan 24 ay geçmiş ve 378 tanıdan sonraki altı ay içinde hastalık modifiye edici tedaviye (DMT) başlamış MS’li bireyler dahil edilmiştir. Üst ekstremite fonksiyonlarını değerlendirmek için Dokuz Çivi Peg Testi (N-HPT) uygulanmıştır. Servikal kord lezyonunun varlığına göre katılımcılar iki gruba ayrıldı. Bulgular: Gruplar arasında yaş, cinsiyet, hastalık süresi ve atak sayısı açısından anlamlı bir fark bulunmamıştır. Ancak, toplam Genişletilmiş Engellilik Durumu Ölçeği (EDSS) skoru, piramidal ve duyusal fonksiyonel sistem skorları, servikal kord lezyonları olan MS’li bireylerde olmayanlara göre daha yüksek bulunmuştur. Tanıdan sonraki altı ay içinde DMT başlatılan katılımcılarda, dominant ve ortalama N-HPT performans süreleri, servikal kord lezyonu olan MS’li bireylerde olmayanlara göre anlamlı derecede daha uzun bulunmuştur. Ancak, ilk semptomlardan 24 ay sonra tanı konulan katılımcılar arasında gruplar arasında anlamlı bir fark gözlenmemiştir. Yaş, hastalık süresi ve tanıdan tedaviye kadar geçen süre, N-HPT performansını etkileyen önemli faktörler olarak belirlenmiştir. Daha genç, daha kısa hastalık süresine sahip ve tanı sonrası daha erken tedavi alan MS’li bireyler, diğerlerine göre daha iyi performans göstermiştir. Sonuç: Çalışmamız, MS’in erken evrelerinde bile servikal kord lezyonlarının üst ekstremite fonksiyonları üzerindeki etkisini vurgulamakta ve erken tanı ile DMT’lerin hızlı bir şekilde başlatılmasının önemini ortaya koymaktadır.