Cihan Aydın

Prof. Cihan Aydın

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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26 July 2021 in Cureus
Verified
Journal Article
Open access
CACihan Aydın
Cihan Aydın
MEMesut Engin
Mesut Engin
Aim: Our study aimed to investigate the predictive values of inflammation markers in predicting postoperative saphenous vein graft patency in patients who underwent coronary artery bypass grafting (CABG). Method: We retrospectively analyzed 89 patients who undergone CABG, and 49 patients diagnosed with non-critical coronary artery disease (less than ≤50% stenosis) on coronary angiography were included in the study as a control group. Eighty-nine patients who underwent CABG were divided into two groups according to the presence of 50% or more stenosis in saphenous vein grafts. In these three groups of patients, neutrophil to lymphocyte ratio (NLR), derived NLR (dNLR; neutrophils/white blood cells-neutrophils), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), systemic inflammation response index (SIRI; neutrophils × monocytes/lymphocytes), systemic inflammation index (SII; platelet × neutrophil/lymphocyte), and the aggregate index of systemic inflammation (AISI; neutrophil × platelet × monocyte/lymphocyte ratio) were calculated from blood tests. The primary endpoint was more than 50% of saphenous vein stenosis or occlusion, and the aim is to predict this saphenous vein graft disease by inflammation indexes. Results: The groups were similar in terms of the frequency of stroke, diabetes mellitus, and chronic obstructive pulmonary disease. The frequency of heart failure and hypertension was higher in group 2 (p=0.045, p=0.005), respectively. Multivariate logistic regression analysis showed that LMR and NLR levels were independent predictors of saphenous vein graft disease (SVGD; OR: 0.896; 95%CI: 0.465-0.957; P<0.001) , (OR: 0.592; 95%CI: 0.450-0.875; P=0.034, respectively).The cut-off value of the LMR <2.625 was associated with 78.4% sensitivity and 78% specificity to predict saphenous vein graft disease in patients with CABG. Conclusion: LMR and NLR may be useful predictors for SVGD.

30 September 2021 in Kardiologiia
Verified
Journal Article
Open access
PDF file
CACihan Aydın
Cihan Aydın
NENadir Emlek
Nadir Emlek
Background   High serum uric acid (UA) levels and low high-density lipoprotein cholesterol (HDL–C) levels are accepted as risk factors for cardiovascular mortality. Hyperuricemia and low HDL–C levels were associated with an increased risk of cardiovascular mortality and the development of diabetes and hypertension. However, the association of UA with cardiovascular (CV) mortality,collateral index are undetermined in patients with chronic total occlusion (CTO). Material and methods 124 patients who underwent coronary angiography with the diagnosis of stable or unstable angina pectoris and had chronic total occlusion were included in our study. Blood samples were collected from all patients before the angiography procedure. Coronary collateral circulation (CCC) was graded according to the Rentrop grading system of 0–3. Rentrop grades of 0 and 1 indicated low-grade CCC group, whereas grades 2 and 3 indicated high-grade CCC group. We divided our patients into two groups as low-grade CCC and high-grade CCC and examined these two groups in terms of uric acid / HDL ratios. Group 1: Rentrop classification grade 0–1 (mean age, 63,9±9,9), Group 2: Rentrop classification grade 2–3 (mean age, 62,1±9,4). Results The baseline characteristics were similar in both groups. Uric acid / High density lipoprotein-cholesterol ratios and uric acid levels were higher in group 1 with poor collateral circulation [group 1; 0,21 (0,07–0,39) vs. group 2; 0,16 (0,08–0,31), group 1; 8,2 (3,4–10,4) vs. group 2; 5,85 (3,5–7,7), p<0,001, p<0,001 respectively]. Conclusions We found that high Uric acid / High-density lipoprotein-cholesterol ratios and high uric acid levels are associated with poor collateral circulation.

16 May 2023 in Arquivos Brasileiros de Cardiologia
Verified
Journal Article
Open access
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MKMustafa Kaplangoray
Mustafa Kaplangoray
KTKenan Toprak
Kenan Toprak
FBFuat Başanalan
Fuat Başanalan
APAli Palice
Ali Palice
CACihan Aydın
Cihan Aydın
YÇYusuf Çekici
Yusuf Çekici
Resumo Fundamento O fluxo lento coronariano (FLC) refere-se à opacificação retardada dos vasos distais na ausência de estenose da artéria coronária epicárdica. O mecanismo etiopatogênico do FLC ainda não está claro. Objetivos Este estudo investiga a relação entre o FLC e o índice de triglicerídeos-glicose (TyG). Métodos A amostra do estudo consistiu de 118 pacientes com FLC e 105 pacientes com fluxo coronariano normal (FCN). A taxa de fluxo coronariano foi medida por medio do método de contagem de quadros [...] Resumo Fundamento O fluxo lento coronariano (FLC) refere-se à opacificação retardada dos vasos distais na ausência de estenose da artéria coronária epicárdica. O mecanismo etiopatogênico do FLC ainda não está claro. Objetivos Este estudo investiga a relação entre o FLC e o índice de triglicerídeos-glicose (TyG). Métodos A amostra do estudo consistiu de 118 pacientes com FLC e 105 pacientes com fluxo coronariano normal (FCN). A taxa de fluxo coronariano foi medida por medio do método de contagem de quadros

1 March 2022 in Online Türk Sağlık Bilimleri Dergisi
Verified
Journal Article
Open access
PDF file
CACihan Aydın
Cihan Aydın
ŞAŞeref Alpsoy
Şeref Alpsoy
IYİlker Yildirim
İlker Yildirim
AGAhmet Gülteki̇n
Ahmet Gülteki̇n
CACavidan Arar
Cavidan Arar
BABişar AMAÇ
Bişar AMAÇ
Objective: Causing a global pandemic, the coronavirus disease 2019 (COVID-19) has caused millions of people to become infected and many more to die. In this study we aimed to investigate whether routinely evaluated clinical and laboratory values ​​can predict the mortality of patients with COVID-19 disease.Materials and Methods: In our study, routine laboratory parameters of 89 patients hospitalized in the general intensive care unit with the diagnosis of COVID 19 were retrospectively analyzed. The aggregate index of systemic inflammation (AISI) and other inflamatuar values were calculated from blood tests in patients with positive COVID-19 polymerase chain reaction test and with ground-glass opacity on lung tomography. Patients were divided into two groups as those who died (non-survivors) and those who were discharged (survivors) during the intensive care follow-ups. Results: In our study, in 48 patients who died during follow-up, the indexes of AISI, other inflamatuar paramaters and the biochemical parameters such as troponin I, d-dimer, ferritin and procalcitonin were significantly higher than in discharged patients. Hypertension and higher AISI and ferritin levels were statistically associated with reduced survival in Cox regression analysis (Hazard ration (HR): 3.176; 95% Confident interval (CI): 1.122-8.991, p=0.03, HR: 1.114; 95% CI: 1.060-1.348, p=0.042, HR=1.072;95% CI: 1.014-1.242, p=0.011, respectively. Conclusion: Inflammation indexes derived from blood tests and acute phase reactants such as ferritin can guide us in planning the treatment strategy and risk stratification in patients with COVID-19 in intensive care follow-ups.

1 January 2023 in Revista da Associação Médica Brasileira
Verified
Journal Article
Open access
PDF file
CACihan Aydın
Cihan Aydın
UUUmut Uyan
Umut Uyan
MKMuhammed Karadeniz
Muhammed Karadeniz
ADAykut Demirkıran
Aykut Demirkıran
In our study, we aimed to find simple, useful biomarkers in patients with non-ST elevation myocardial infarction to predict coronary artery severity.

24 February 2025 in Cardiovascular Toxicology
Verified
Journal Article
Open access
PDF file
MKMustafa Kaplangoray
Mustafa Kaplangoray
KTKenan Toprak
Kenan Toprak
CCCuneyt Caglayan
Cuneyt Caglayan
EDEdhem Deveci
Edhem Deveci
EÇENES ÇELİK
ENES ÇELİK
CACihan Aydın
Cihan Aydın
Systemic inflammatory response index (SIRI), is associated with prognosis in coronary artery disease (CAD), heart failure (HF), and acute myocardial infarction. This study investigated the relationship between SIRI and non-dipper hypertension. The study retrospectively included a total of 254 naive, newly diagnosed hypertensive individuals based on ambulatory blood pressure monitoring (ABPM), containing 166 dippers (DHT) and 88 non-dippers (NDHT). The SIRI value of all patients was calculated based on neutrophil, monocyte, and lymphocyte counts. The average age of study population was 50.7 ± 9.4 years old, and the male ratio was 68.5%. Compared with DHT, patients in the NDHT group had higher SIRI, monocyte to HDL-C ratio (MHR), neutrophil–lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), C-reactive protein (CRP), and neutrophil count, while high-density lipoprotein cholesterol (HDL-C) and lymphocyte count were lower (p < 0.05). The left ventricular mass index (LVMI) was higher in the NDHT group (p < 0.05). Multivariate logistic regression analysis showed that SIRI, LVMI, and HDL-C were independent predictor factors for NDHT. ROC curve analysis determined the optimal SIRI cut-off value for predicting NDHT diagnosis to be 2.41 (sensitivity 69.3%, specificity 64.5%, area under the receiver operating characteristic curve, 0.743; p < 0.001). The AUC values obtained for SIRI, MHR, NLR, PLR, HDL-C, and LVMI parameters in the ROC curve analysis were compared pairwise. The results demonstrated that SIRI’s discriminative capacity in predicting NDHT was superior to all other indices. SIRI is an independent and significant predictor factor for NDHT and is superior in predicting NDHT diagnosis compared with HDL-C, MHR, LVMI, NLR, and PLR. Graphical Abstract Relationship between SIRI and non-dipper hypertension. Can inflammation-based hematological parameters serve as an alternative to ambulatory blood pressure monitoring in the diagnosis of non-dipper hypertension? LAd Left Atrium Diameter; HDL-C High-Density Lipoprotein Cholesterol; LDL-C Low-Density Lipoprotein Cholesterol; NLR Neutrophil/Lymphocyte Ratio; PLR Platelet/Lymphocyte Ratio; SIRI Systemic İnflammatory Response İndex; LVMI Left Ventricular Mass İndex; MHR Monocyte To Hdl-C Ratio