Ozkan Bekler

Dr. Ozkan Bekler


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 August 2025 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
OBOzkan Bekler
Ozkan Bekler
SKSüleyman Diren Kazan
Süleyman Diren Kazan
HHHazar Harbalıoğlu
Hazar Harbalıoğlu
OKOnur Kaypakli
Onur Kaypakli
Background: Despite the survival benefit of ICDs in patients with HFrEF, most recipients do not receive appropriate therapy during follow-up. Existing risk models based on echocardiographic and clinical parameters show limited predictive accuracy for arrhythmic events. This study aimed to assess whether ECG-derived markers outperform conventional measures in predicting appropriate ICD shocks. Methods: This retrospective observational study included 375 patients with HFrEF who underwent ICD implantation for primary prevention at least six months before study enrollment. Twelve-lead surface ECGs were analyzed for a QTc interval, Tp-e/QT ratio, frontal QRS-T angle, and maximum deflection index (MDI). Clinical, echocardiographic, and arrhythmic event data obtained from device interrogations were evaluated. Receiver operating characteristic (ROC) curve analysis and multivariate logistic regression were performed to identify independent predictors of appropriate ICD shocks. Results: Patients who experienced appropriate ICD shocks had significantly higher rates of a complete bundle branch block, digoxin use, QRS duration, QTc, Tp-e/QT ratio, frontal QRS-T angle, MDI, and right-ventricular pacing ratio. Conversely, beta-blocker use was significantly lower in this group. In multivariate analysis, independent predictors of appropriate shocks included the patient’s digoxin use (OR = 2.931, p = 0.003), beta-blocker use (OR = 0.275, p = 0.002), frontal QRS-T angle (OR = 1.009, p < 0.001), QTc interval (OR = 1.020, p < 0.001), and Tp-e/QT ratio (OR = 4.882, p = 0.050). The frontal QRS-T angle had a cutoff value of 105.5° for predicting appropriate ICD shocks (sensitivity: 73.6%, specificity: 85.2%, AUC = 0.758, p < 0.001). Conclusions: Electrocardiographic markers, particularly the frontal QRS-T angle, QTc interval, and Tp-e/QT ratio, demonstrated superior predictive power for appropriate ICD shocks compared to conventional echocardiographic and clinical measures. These easily obtainable, non-invasive ECG parameters may improve current risk stratification models and support more individualized ICD implantation strategies.

25 April 2025 in Medicina
Verified
Journal Article
Open access
PDF file
OBOzkan Bekler
Ozkan Bekler
AKAlparslan Kurtul
Alparslan Kurtul
Background and Objectives: Non-dipping blood pressure (BP) patterns are associated with increased cardiovascular risk, but their role in periprocedural myocardial infarction (PMI) during elective percutaneous coronary intervention (PCI) remains insufficiently clarified. The objective was to investigate whether a non-dipping BP profile independently predicts PMI in hypertensive patients undergoing elective PCI. Materials and Methods: This prospective observational study enrolled 462 hypertensive patients undergoing elective PCI, categorized as dipping or non-dipping based on 24 h ambulatory BP monitoring (ABPM). Clinical, laboratory, and angiographic data were compared. PMI was defined according to the Fourth Universal Definition of Myocardial Infarction. Independent predictors of PMI were identified using multivariate logistic regression. Results: Of the 462 patients, 243 (52.6%) exhibited a non-dipping BP pattern. Non-dipping status was significantly associated with higher incidence of PMI (32.5% vs. 13.7%, p < 0.001) and a worse metabolic profile, including elevated blood glucose (p = 0.001), Hemoglobin A1c (p = 0.002), and white blood cell count (p = 0.001), and lower high-density lipoprotein cholesterol (p = 0.047). These patients more frequently underwent complex PCI (25.1% vs. 5.0%, p < 0.001). In multivariate analysis, the non-dipping BP pattern emerged as the strongest independent predictor of PMI (odds ratio 25.99, 95% confidence interval 3.16–213.92, p = 0.002), followed by complex PCI, number of stents, stent length, and diabetes mellitus. Conclusions: Non-dipping BP pattern is a powerful and independent predictor of PMI in hypertensive patients undergoing PCI. Incorporating ABPM into routine cardiovascular risk assessment may improve the identification of high-risk patients and allow for tailored preventive strategies.

4 September 2025 in Bagcilar Medical Bulletin
Verified
Journal Article
Open access
PDF file
OBOzkan Bekler
Ozkan Bekler
AKAlparslan Kurtul
Alparslan Kurtul
Predictive Value of Naples Prognostic Score and CONUT Scores for Contrast-induced Acute Kidney Injury After Percutaneous Coronary Intervention in Acute Coronary Syndrome - Bagcilar Medical Bulletin

17 April 2026 in The American Journal of Cardiology
Verified
Journal Article
Closed access
AKAlparslan Kurtul
Alparslan Kurtul
OBOzkan Bekler
Ozkan Bekler
ESEray Sağaltıcı
Eray Sağaltıcı
FŞFatih Şen
Fatih Şen
OAOğuz Akkuş
Oğuz Akkuş