Browsing by Author "Gunlu, Serhat"

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    Citation - WoS: 12
    Citation - Scopus: 12
    Comparison of Pain Levels of Traditional Radial, Distal Radial, and Transfemoral Coronary Catheterization
    (Assoc Medica Brasileira, 2023) Aslan, Muzaffer; Gunlu, Serhat; Karahan, Mehmet Zulkuf; Kilic, Raif; Guzel, Tuncay; Aktan, Adem; Arslan, Bayram
    OBJECTIVE: The aim of our study was to compare the traditional radial artery, distal radial artery, and transfemoral artery, which are vascular access sites for coronary angiography, in terms of pain level using the visual analog scale.METHODS: Between April 2021 and May 2022, consecutive patients from three centers were included in our study. A total of 540 patients, 180 from each of the traditional radial artery, distal radial artery , and transfemoral artery groups, were included. The visual analog scale was applied to the patients as soon as they were taken to bed. RESULTS: When the visual analog scale was compared between the groups, it was found to be significantly different (transfemoral artery: 2.7 & PLUSMN;1.6, traditional radial artery: 3.9 & PLUSMN;1.9, and distal radial artery: 4.9 & PLUSMN;2.1, respectively, p<0.001). When the patients were classified as mild, moderate, and severe based on the visual analog scale score, a significant difference was found between the groups in terms of body mass index, process time, access time, and number of punctures (p<0.001). Based on the receiver operating characteristic analysis, body mass index>29.8 kg/m2 predicted severe pain with 72.5% sensitivity and 73.2% specificity [(area under the curve: 0.770, 95%CI: 0.724-0.815, p<0.0001)].CONCLUSION: In our study, we found that the femoral approach caused less access site pain and a high body mass index predicts severe pain.
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    The Leuko-Glycemic Index Can Predict Ischemia in Myocardial Perfusion Scintigraphy
    (AME Publishing Company, 2025) Vicdan, Şule Kılınç; Gunlu, Serhat
    Background: Ischemic heart disease is frequently diagnosed with myocardial perfusion scintigraphy (MPS). The leuko-glycemic index (LGI) has also been shown to estimate myocardial ischemia (MI). The purpose of this research was to evaluate the diagnostic utility of LGI in determining MI by contrasting it with MPS. Methods: A retrospective study was performed involving patients who presented with chest pain and were referred for MPS by cardiology outpatient clinics. The study included 143 patients after applying exclusion criteria and measuring LGI. According to MPS, patients were classified into two as ischemic and non-ischemic groups. Results: The study consisted of 99 (69.2%) men and 44 women (30.8%) with a mean age of 60.33±13.83 years. Individuals were split into two categories: ischemic (n=56) and non-ischemic (n=87). No statistically significant difference exists between the groups regarding dyslipidemia (P=0.11), smoking (P=0.17), and gender (P=0.20). There were no substantial differences across the groups including laboratory parameters (P>0.05). LGI values were substantially higher in the ischemic group (P<0.001). The area under the curve (AUC) of the LGI to predict ischemic patients in the MPS was 0.752 [95% confidence interval (CI): 0.67 to 0.88; P<0.001]. The optimal cut-off value of LGI was 1,873 mg/dL·mm3 with 72% sensitivity and 70% specificity. Conclusions: LGI was an independent predictor of MI in patients with chest pain. © 2025 Elsevier B.V., All rights reserved.