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    Evaluation of Subclinical Left Ventricular Dysfunction in HIV Patients Receiving Abacavir, Dolutegravir, and Lamivudine Therapy with Novel Tissue Doppler Imaging Techniques
    (MDPI AG, 2025-02-25) Dogac Oksen; Muzaffer Aslan; Ebru Serin; Muhammed Heja Gecit; Yunus Emre Yavuz; Esra Yerlikaya Zerdali; Veysel Oktay
    Background/Objectives: Highly active antiretroviral therapy (HAART) effectively suppresses viral load and aids immunological recovery in HIV patients, but may still lead to subclinical myocardial dysfunction. This study assesses left and right ventricular functions in patients on HAART containing abacavir, dolutegravir, and lamivudine using Tissue Doppler Imaging (TDI). Methods: This observational cross-sectional study involved 118 HIV-positive adults on HAART and 80 age- and gender-matched healthy controls. Comprehensive echocardiographic assessments, including TDI, were conducted to evaluate myocardial performance index (MPI) and isovolumic acceleration (IVA). Results: Conventional echocardiographic parameters showed no significant differences; however, TDI indicated significant impairments in ventricular functions in the HAART group, with increased MPI and decreased IVA (p < 0.001). Pulmonary artery pressures were also higher in the HIV group (p = 0.012). There was a strong positive correlation between MPI and HAART duration (r = 0.675, p = 0.002), and a negative correlation with CD4 count (r = −0.545, p = 0.006). Conclusions: TDI reveals significant subclinical ventricular dysfunction in HIV patients on HAART, correlating with therapy duration and immune status. These findings underscore the utility of TDI in detecting myocardial deterioration before clinical symptoms appear.
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    Machine Learning and Shock Indices-Derived Score for Predicting Contrast-Induced Nephropathy in ACS Patients
    (Ovid Technologies (Wolters Kluwer Health), 2025-02-13) Yunus Emre Yavuz; Sefa Tatar; Hakan Akıllı; Muzaffer Aslan; Abdullah İçli
    Background Contrast-induced nephropathy (CIN) is a serious complication following acute coronary syndrome (ACS), leading to increased morbidity and mortality. Machine learning (ML), combined with parameters such as shock indices, can potentially improve CIN risk prediction by analyzing complex variable interactions and creating accessible, clinically applicable models. Methods This retrospective case-control study included 719 ACS patients who underwent percutaneous coronary intervention (PCI). Patients were divided into two groups (CIN and non-CIN), and clinical, procedural, and hemodynamic parameters, including shock indices, were analyzed using machine learning algorithms. A new predictive model, CIN-Predict 5, was developed using the Gradient Boosting Machine (GBM) algorithm, incorporating clinically relevant and statistically significant variables. Correlations between model predictions and secondary outcomes, including in-hospital mortality and hospitalization duration, were evaluated. Results Among the variables used in the GBM algorithm, the Modified Shock Index emerged as the most significant predictor, with an importance score of 0.25. The CIN-Predict 5 model achieved an AUC of 0.87, outperforming the Mehran Risk Score (AUC = 0.75) for predicting CIN. The secondary outcomes showed that CIN-Predict 5 correlated significantly with in hospital mortality (r = 0.16, p < 0.001) and hospitalization duration (r = 0.20, p < 0.001). Conclusions The GBM-based model we developed, utilizing shock indices and derived through ML, provides a practical tool for early identification of high-risk CIN patients post-ACS, enabling timely preventive strategies and improving clinical decision-making. © 2025 Wolters Kluwer Health, Inc. All rights reserved.
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    Music Therapy may Decrease Radial Artery Spasm Rates and Increase Satisfaction during Coronary Angiography
    (Bentham Science Publishers Ltd., 2025-02-04) Muzaffer Aslan; Doğaç Okşen; Yunus Emre Yavuz; Çağdaş Kaynak
    Introduction: With the widespread use of the radial artery in catheterization procedures, radial artery spasm (RAS) is frequently considered an undesirable event. It is known that anxiety increases RAS, and listening to music helps individuals control anxiety during the procedure. This study aimed to investigate the effects of music concerts on RAS. Methods: In this prospective study, imaging and interventional coronary catheterization procedures using the radial artery were included. One group listened to a musical recital during the procedure, while the other group was treated in a quiet environment. The demographics, procedural parameters, and complications of both groups were compared. Results: The study included a total of 147 patients, with an average age of 51.6 ± 11.1 years. Of these, 78 patients (53%) listened to music, while 69 patients (46.9%) underwent catheterization in a quiet environment. The impact of music therapy on the RAS was found to be significant (11.5% vs. 20.3%; p=0.035). While music therapy showed a potential to reduce RAS rates, its effect was not statistically significant in multivariate analysis (p=0.055). Conclusion: Music is a feasible, simple, and inexpensive method for reducing anxiety levels in patients. Listening to music during catheterization can reduce procedural discomfort and the frequency of undesirable events by helping people control their anxiety.