Background/Objectives: Heart attacks are the leading cause of death in the world. There are two important classes of heart attack: ST-segment Elevation Myocardial Infarction (STEMI) and Non-ST-segment Elevation Myocardial Infarction (NSTEMI) patient groups. While the STEMI group has a higher mortality rate in the short term, the NSTEMI group is considered more dangerous and insidious in the long term. Blocked coronary arteries can be predicted from ECG signals in STEMI patients but not in NSTEMI patients. Therefore, coronary angiography (CAG) is inevitable for these patients. However, in the elderly and some patients with chronic diseases, if there is a single blockage, the CAG procedure poses a risk, so medication may be preferred. In this study, a novel deep learning-based approach is used to automatically detect the occluded main coronary artery or arteries in NSTEMI patients. For this purpose, a new seven-class dataset was created with expert cardiologists. Methods: A new Multi Input-Multi Scale (MI-MS) ConvMixer model was developed for automatic detection. The MI-MS ConvMixer model allows simultaneous training of 12-channel ECG data and highlights different regions of the data at different scales. In addition, the ConMixer structure provides high classification performance without increasing the complexity of the model. Moreover, to maximise the classifier performance, the WSSE algorithm was developed to adjust the classification prediction value according to the feature importance weights. Results: This algorithm improves the SVM classifier performance. The features extracted from this model were classified with the WSSE algorithm, and an accuracy of 88.72% was achieved. Conclusions: This study demonstrates the potential of the MI-MS ConvMixer model in advancing ECG signal classification for diagnosing coronary artery diseases, offering a promising tool for real-time, automated analysis in clinical settings. The findings highlight the model’s ability to achieve high sensitivity, specificity, and precision, which could significantly improve.

Introduction: Contrast-associated acute kidney injury (CI-AKI) is a frequent and clinically important complication after percutaneous coronary intervention (PCI), particularly in hemodynamically unstable patients with non–ST-elevation myocardial infarction (NSTEMI). Mean arterial pressure (MAP) is a key determinant of renal perfusion, yet the impact of admission MAP on CI-AKI development in NSTEMI patients undergoing PCI has not been clearly established. To investigate the relationship between admission MAP and the development of CI-AKI within the first 72 hours after PCI in patients with NSTEMI. Methods: This single-center, retrospective observational study included 150 consecutive patients hospitalized with NSTEMI who underwent PCI between January and December 2025. Admission systolic and diastolic blood pressures were obtained from emergency department triage records and MAP was calculated using the standard formula (MAP = [SBP + 2×DBP]/3). CI-AKI was defined according to KDIGO criteria as an increase in serum creatinine ≥0.3 mg/dL or ≥50% from baseline within 72 hours after contrast exposure. Patients were divided into two groups: those who developed CI-AKI (n=62, 41.3%) and those who did not (n=88, 58.7%). Non-parametric tests and Spearman correlation analysis were used. Results: The overall mean MAP was 88.99±27.44 mmHg. Patients who developed CI-AKI had significantly lower admission MAP compared with those without CI-AKI (60.33±3.95 vs. 109.18±16.76 mmHg; p<0.001). Lower MAP was positively correlated with body mass index and heart rate. Chronic kidney disease and hyperlipidemia were more frequent among patients with CI-AKI and were also associated with lower MAP values (both p<0.001). Conclusion: In NSTEMI patients undergoing PCI, lower admission MAP is strongly associated with the development of CI-AKI within 72 hours. Given that MAP is a simple, rapid, and noninvasive parameter, its routine assessment at presentation may help identify high-risk patients and support clinical awareness regarding preventive care.

Assesment Tools and Performance Development in Sports Cardiology - International Journal of the Cardiovascular Academy

Aims: Massive hemoptysis, characterized by severe respiratory bleeding, requires immediate medical attention due to its high mortality rate. We described our experience with the parachute balloon embolization procedure for life-threatening massive hemoptysis in this article. Methods: The study was planned for 14 patients who presented with massive hemoptysis, had a high surgical risk, and failed medical and bronchoscopic treatment. The bleeding focus was embolized by placing the balloon, which was cut in half and separated from its shaft, using the new parachute technique. Results: Hemorrhage was effectively controlled in all individuals. One patient died during the in hospital follow-up. During the 6-month follow-up period, there were no instances of repeated bleeding detected in the 13 patients. Conclusion: The use of balloon embolization using the parachute approach can be an effective and safe bail out treatment option for those with severe hemoptysis. Furthermore, this technique may facilitate the development of new treatment modalities and the creation of novel devices in the future.

Behçet Hastalığı, kronik inflamatuar sistemik bir vaskülit hastalığı olarak tanımlanmaktadır. Kardiyak tutulum, özellikle akut koroner sendrom, Behçet hastalığı’nda sık karşılaşılan bir durum değildir. Bu olguda Behçet hastalığı tanısı olan ve ST segment yükselmeli miyokart enfarktüsü (STYME) tablosu ile başvuran 40 yaşında kadın hasta sunulacaktır.