Ferhat Siyamend Yurdam

Dr. Ferhat Siyamend Yurdam

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Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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30 September 2023 in International Heart Journal
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FYFerhat Siyamend Yurdam
Ferhat Siyamend Yurdam
MKMehmet Kiş
Mehmet Kiş
The MAPH (mean platelet volume, age, total protein and hematocrit) score is a newly developed simple scoring system for patients with STEMI that has been associated with satisfactory predictive values to determine thrombus burden in STEMI patients. Therefore, the aim of our study was to determine the relationship between the MAPH risk score and TIMI flow in patients with STEMI.The study included 260 patients who underwent primary percutaneous coronary intervention between December 2019 to July 2022, and had TIMI 0 flow in the responsible coronary artery due to STEMI. According to the TIMI flow score after stent implantation, the patients were classified into either the no-reflow group (n = 59) or the normal flow group (n = 201). In order to calculate the MAPH score, ROC analysis was performed to find the cutoff point for each component of the MAPH score. MAPH scores were calculated (MPV + Age + Protein + Hematocrit) for both groups. Our study was a retrospective, observational study.In the multivariable regression analysis, the MAPH score (OR: 0.567; 95%CI: 0.330-0.973, P = 0.04) and glycoprotein IIb/IIIa inhibitors (OR: 0.249; 95%CI: 0.129-0.483, P < 0.001) were parameters found to be independent predictors of TIMI flow. An MAPH score value > 2.5 predicted the presence of low TIMI coronary flow in patients with STEMI, with 78% specificity and 45% sensitivity (ROC area under curve: 0.691, 95% CI: 0.617-0.766, P < 0.001).The MAPH risk score is simple, inexpensive, and quick to calculate. A high MAPH score may be an indicator of coronary no-reflow in patients with STEMI.

31 August 2023 in Kardiologiia
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FYFerhat Siyamend Yurdam
Ferhat Siyamend Yurdam
MKMehmet Kış
Mehmet Kış
YDYusuf Demir
Yusuf Demir
EBEREN OZAN BAKIR
EREN OZAN BAKIR
OAOnur Akhan
Onur Akhan
TGTuncay Güzel
Tuncay Güzel
Aim Coronary artery tortuosity is a common coronary angiographic finding. This tortuosity can cause myocardial ischemia even in the absence of significant coronary artery stenosis. Our aim was to compare the demographic, clinical and echocardiographic features of patients with chronic coronary syndrome (CCS) and with and without coronary artery tortuosity. Material and methods 361 patients who underwent elective coronary angiography (CAG) due to CCS were included in the study. These patients divided into two groups, those with coronary tortuosity (Group 1) and those without (Group 2). Univariable and multivariable logistic regression analysis was performed to identify predictors associated with coronary artery tortuosity. Results   The mean age of the 361 CCS patients (44 % female; 56 % male) was 56.7±11.5 years. In the univariable regression analysis, age, female sex, hypertension (HT), PR interval, QTc interval, ST / T segment changes, left ventricle diastolic dysfunction (LVDD), left ventricle hypertrophia (LVH) were identified as predictors of coronary tortuosity. In the multivariable regression analysis, age (OR: 1.059; 95 %CI: 1.032–1.087, p<0.001) and hypertension (OR: 0.484; 95 %CI: 0.278–0.843, p=0.01) were identified as independent predictors of coronary tortuosity. Conclusion Coronary artery tortuosity is an angiographic finding that develops as a result of adaptive mechanisms in the heart and can cause myocardial ischemia. Predictors of coronary artery tortuosity in patients with CCS were long PR and QTc intervals, ST / T segment changes, LVH, LVDD, advanced age, and female gender. Evaluation of these demographic, electrocardiographic, and echocardiographic data may help clinicans to anticipate coronary artery tortuosity in patients with CCS and to be precautious for PCI.

28 December 2022 in Cureus
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FYFerhat Siyamend Yurdam
Ferhat Siyamend Yurdam
YDYusuf Demir
Yusuf Demir
The prognostic nutritional index (PNI), consisting of albumin and lymphocyte counts, has been associated with satisfactory predictive values ​​for in-hospital mortality or clinical follow-up outcomes in acute situations. In this study, we aimed to evaluate the use of PNI for the prediction of hospital admission in individuals with mildly reduced ejection fraction heart failure (HFmrEF). This retrospective study was conducted between January 2019 and May 2022 and included 200 patients with HFmrEF detected by transthoracic echocardiography. Data from hospitalized patients (group 1) and outpatients (group 2) were compared. In the multivariable regression analysis, brain natriuretic peptide (odds ratio (OR) = 1.001; 95% confidence interval (CI) = 1.000-1.001, p = 0.001) and PNI (OR = 0.783; 95% CI = 0.720-0.853; p < 0.001) were independent predictors of hospital admission in patients with HFmrEF. The PNI value was statistically significantly higher in group 2 (52.36 ± 5.36) than in group 1 (38.3 ± 8.63, p < 0.001). The PNI value <46.75 is a predictor of hospitalization in patients with HFmrEF, with 86% sensitivity and 88% specificity. Lower PNI levels predict hospital admission in HFmrEF patients. This measure, which can be easily evaluated in daily cardiological practice, allows for quick and precise decisions for hospitalization.

12 May 2023 in Acta Cardiologica
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FYFerhat Siyamend Yurdam
Ferhat Siyamend Yurdam
EGECEM GURSES
ECEM GURSES
To assess the effect of beta-blocker treatment on left ventricular global longitudinal strain (LV Gls) as measured by echocardiography in patients with MB (Myocardial Bridge).Between January 2019 a...

1 January 2023 in Journal of Surgery and Medicine
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FYFerhat Siyamend Yurdam
Ferhat Siyamend Yurdam
MKMehdi Kış
Mehdi Kış
Background/Aim: It is known that approximately 40% of chronic hemodialysis patients die due to cardiac arrhythmia and cardiovascular reasons. Determining whether the hemodialysis procedure poses a risk for arrhythmia is important in terms of prognostic follow-up of the patients. Therefore, we aimed to determine the underlying arrhythmia frequency and types with 24-hour Holter electrocardiogram (ECG) in patients receiving hemodialysis with normal baseline electrocardiography between the hemodialysis periods. Methods: Between January 2018 and January 2022, 91 consecutive patients who received hemodialysis for chronic renal failure (CRF) and applied to the cardiology outpatient clinic with complaints of palpitation and sinus rhythm on ECG and evaluated with 24-hour rhythm Holter ECG were included in the study. Our study was designed as a retrospective cohort study. Results: The mean age of the patient population was 65.78 (11.92) years, the mean systolic blood pressure was 143.71 (24.88) mmHg, and the mean heart rate was 83.43 (15.85) beats/min. Hypertension (HT) (n=44, 48%) and coronary artery disease (n=34, 37%) were the most common comorbid diseases. The most common arrhythmias detected on Holter ECG were ventricular extrasystole (VES) (n=18, 19.8%) and paroxysmal AF (n=8, 8.8%). Non-sustained ventricular tachycardia was detected in two patients. Conclusion: Detecting arrhythmia in the interdialytic periods in patients receiving hemodialysis due to CRF is important for follow-up and treatment. Even if the baseline ECG is normal in hemodialysis patients with CRF, the frequency of the underlying arrhythmia that needs to be treated is high. '+st+' US Renal Data System. USRDS 2018 Annual Data Report: Atlas of End-Stage Renal Disease in the United States. Bethesda, MD: National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases; 2018. Chertow GM, Block GA, Rotter RC, Drüeke TB, Floege J, Goodman WG, et al. Effect of cinacalcet on cardiovascular disease in patients undergoing dialysis. New England Journal Medicine 2012;367:2482–94. DOI: https://doi.org/10.1056/NEJMoa1205624 Wanner C, Krane V, Marz W, Olschewski W, Mann JF, Ruf G, et al. Atorvastatin in patients with type 2 diabetes mellitus undergoing hemodialysis. New England Journal Medicine 2005;353:238–48. DOI: https://doi.org/10.1056/NEJMoa043545 Weiner DE, Tighiouart H, Elsayed EF, Griffith JL, Salem DN, Levey AS, et al. The Framingham predictive instrument in chronic kidney disease. Journal American College Cardiology 2007;50:217–24. DOI: https://doi.org/10.1016/j.jacc.2007.03.037 Himmelfarb J, Stenvinkel P, Ikizler TA, Hakim RM. The elephant in uremia: oxidant stress as a unifying concept of cardiovascular disease in uremia. Kidney International 2002;62:1524–38. DOI: https://doi.org/10.1046/j.1523-1755.2002.00600.x McIntyre CW, Burton JO, Selby NM, Leccisotti L, Korsheed S, Baker CS, Camici PG: Hemodialysis-induced cardiac dysfunction is associated with an acute reduction in global and segmental myocardial blood flow. Clinical Journal of the American Society of Nephrology 2008;3:19–26. DOI: https://doi.org/10.2215/CJN.03170707 Charytan DM, Padera R, Helfand AM, Zeisberg M, Xu X, Liu X, et al. Increased concentration of circulating angiogenesis and nitric oxide inhibitors induces endothelial to mesenchymal transition and myocardial fibrosis in patients with chronic kidney disease. International Journal of Cardiology 2014;176:99–109. DOI: https://doi.org/10.1016/j.ijcard.2014.06.062 Foley RN, Gilbertson DT, Murray T, Collins AJ. Long interdialytic interval and mortality among patients receiving hemodialysis. New England Journal Medicine 2011;365:1099–107. DOI: https://doi.org/10.1056/NEJMoa1103313 Pun PH, Lehrich RW, Honeycutt EF, Herzog CA, Middleton JP. Modifiable risk factors associated with sudden cardiac arrest within hemodialysis clinics. Kidney International 2011;79:218-27. DOI: https://doi.org/10.1038/ki.2010.315 Shimada K, Tomita T, Kamijo Y, Higuchi M, Ito K, Koizumi Y, et al. Hemodialysis-induced P-wave signal-averaged electrocardiogram alterations are indicative of vulnerability to atrial arrhythmias. Circulation Journal 2012;76:612–7. DOI: https://doi.org/10.1253/circj.CJ-11-1000 Makaryus AN. Ventricular arrhythmias in dialysis patients. Rev Cardiovasc Med. 2006 Winter;7(1):17-22. PMID: 16534492. London G, Parfrey PS. Cardiac disease in chronic uremia: pathogenesis. Advances in Renal Replace Therapy 1997;4:194–211. DOI: https://doi.org/10.1016/S1073-4449(97)70029-3 Wizemann V, Kramer W, Funke T, Schütterle G. Dialysis induced cardiac arrhythmias: fact or fiction? Importance of preexisting cardiac disease in the induction of arrhythmias during renal replacement therapy. Nephron 1985;39:356–60. DOI: https://doi.org/10.1159/000183405 Rantanen JM, Riahi S, Schmidt EB, Johansen MB, Søgaard P, Christensen JH. Arrhythmias in Patients on Maintenance Dialysis: A Cross-sectional Study. Am J Kidney Dis. 2020 Feb;75(2):214-24. doi: 10.1053/j.ajkd.2019.06.012. DOI: https://doi.org/10.1053/j.ajkd.2019.06.012 Hamadou B, Halle MP, Kamdem, F, Mbia MA, Amougou SN, Boombhi J, et al. Cardiac Arrhythmia during Chronic Hemodialysis: A Cross-Sectional Holter ECG Study in Patients from North Cameroon. Health Sciences and Disease. 2017;18(3):46-50. Bozbas H, Atar I, Yildirir A, Ozgul A, Uyar M, Ozdemir N, et al. Prevalence and Predictors of Arrhythmia in End Stage Renal Disease Patients on Hemodialysis. Renal Failure 2009;29(3):331-9. DOI: https://doi.org/10.1080/08860220701191237 Erem C, Kulan K, Tuncer C, Bostan M, Mocan Z, Komsuoglu B. Cardiac arrhythmias in patients on maintenance hemodialysis. Acta Cardiologica 1997;52(1):25-36. Wong MC, Kalman JM, Pedagogos E, Toussaint N, Vohra JK, Sparks PB, et al. Temporal distribution of arrhythmic events in chronic kidney disease: Highest incidence in the long interdialytic period. Heart Rhythm 2015;12:2047–55. DOI: https://doi.org/10.1016/j.hrthm.2015.06.033 Goldstein BA, Arce CM, Hlatky MA, Turakhia M, Setoguchi S, Winkelmayer WC. Trends in the incidence of atrial fibrillation in older patients initiating dialysis in the United States. Circulation 2012;126:2293-301. DOI: https://doi.org/10.1161/CIRCULATIONAHA.112.099606 Winkelmayer WC, Patrick AR, Liu J, Brookhart MA, Setoguchi S. The increasing prevalence of atrial fibrillation among hemodialysis patients. Journal American Society of Nephrology 2011;22:349–57. DOI: https://doi.org/10.1681/ASN.2010050459 Zimmerman D, Sood MM, Rigatto C, Holden RM, Hiremath S, Clase CM. Systematic review and meta-analysis of incidence, prevalence and outcomes of atrial fibrillation in patients on dialysis. Nephrology Dialysis Transplant 2012;27:3816–22. DOI: https://doi.org/10.1093/ndt/gfs416 Kaze FF, Kengne A-P, Djalloh AMA, Ashuntantang G, Halle MP, Menanga AP, et al. Pattern and correlates of cardiac lesions in a group of sub-Saharan African patients on maintenance hemodialysis. Pan Afr Med J. 2014 Jan 1;17(1). doi: 10.11604/pamj.2014.17.3.3422. DOI: https://doi.org/10.11604/pamj.2014.17.3.3422 Acar G, Akçay A, Sökmen A, Sökmen G, Köroğlu S, Nacar AB, et al. Hemodiyaliz hastalarında atriyal fibrilasyon sıklığı ve belirleyicileri. Türk Kardiyol Dern Arş. 2010;38(1):8-13. Copyright (c) 2023 Ferhat Siyamend Yurdam, Mehdi Kış This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

12 September 2025 in The International Journal of Cardiovascular Imaging
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EBEREN OZAN BAKIR
EREN OZAN BAKIR
FYFerhat Siyamend Yurdam
Ferhat Siyamend Yurdam
ADAbdullah Kadir Dolu
Abdullah Kadir Dolu
SASerhat Aguloglu
Serhat Aguloglu