Plateletcrit and red cell distribution width are independent predictors of the slow coronary flow phenomenon

Akpınar, İbrahim; Sayın, Muhammet Raşit; Gürsoy, Yusuf Cemil; Aktop, Ziyaeddin; Karabağ, Turgut; Küçük, Emrah; Şen, Nihat; Aydın, Mustafa; Kıran, Sibel; Büyükuysal, Mustafa Çağatay; Haznedaroğlu, İbrahim C.

doi:10.1016/j.jjcc.2013.07.010

Cited by 86 publications

(72 citation statements)

References 32 publications

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“…Endothelial dysfunction, inflammation, increased uric acid levels, conditions associated with changes in platelet properties, and changes in blood rheological properties have also been proposed as mechanisms associated with the SCF phenomenon (2,7,11,13,15,(18)(19)(20)(21). In our study, we found no association between white blood cell or platelet counts and SCF.…”

Section: Comparing Scf and Neca Subjectscontrasting

confidence: 44%

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Coronary slow flow phenomenon: Clinical findings and predictors

et al. 2016

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Background:In some patients with chest pain, selective coronary angiography reveals slow contrast agent passage through the epicardial coronary arteries in the absence of stenosis. This phenomenon has been designated the slow coronary flow (SCF) phenomenon. Objectives: In this study, we aimed to describe the demographic and clinical findings and presence of common atherosclerosis risk factors in patients with the SCF phenomenon. Patients and Methods: Between October 2014 and March 2015, demographic data, clinical histories, atherosclerosis risk factors, and laboratory and angiographic findings were recorded for all consecutive patients scheduled for coronary angiography and diagnosed with the SCF phenomenon, as well as a control group (patients with normal epicardial coronary arteries; NECA). SCF was diagnosed based on the thrombolysis in myocardial infarction frame count (TFC). A TFC > 27 indicated a diagnosis of SCF phenomenon. Results: Among the 3600 patients scheduled for selective coronary angiography, 75 (2%) met the SCF criteria. SCF and NECA patients did not exhibit statistically significant differences in traditional risk factors except for hypertension, which was more prevalent in SCF than NECA patients (52% versus 31%, P = 0.008). A multivariable analysis indicated a low body mass index, presence of hypertension, low highdensity lipoprotein cholesterol (HDL-c) level, and high hemoglobin level as independent predictors of the SCF phenomenon; of these, hypertension was the strongest predictor (odds ratio = 6.3, 95% confidence interval: 2.2 -17.9, P = 0.001). Conclusions:The SCF phenomenon is relatively frequent, particularly among patients with acute coronary syndrome who are scheduled for coronary angiography. Hypertension, a low HDL-c level, and high hemoglobin level can be considered independent predictors of this phenomenon.

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Section: Comparing Scf and Neca Subjectscontrasting

confidence: 44%

“…Several studies have suggested independent predictors of the SCF phenomenon (5,7,(11)(12)(13)(18)(19)(20). In a study by Arbel et al smoking was found to be the strongest predictor of the SCF phenomenon (13).…”

Section: Comparing Scf and Neca Subjectsmentioning

confidence: 99%

Coronary slow flow phenomenon: Clinical findings and predictors

et al. 2016

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“…It has been evaluated as a novel predictor of severe inflammation and raised cardiovascular risk. A clinical utility of PCT in predicting a slow coronary flow phenomenon was demonstrated in the study of Akpinar et al (10). Moreover, a positive direct relation between PCT and critical saphenous vein graft stenosis was found in a recent study (11).…”

Section: Discussionmentioning

confidence: 87%

“…The associations and long term prognostic value of PCT have been reported in stable coronary artery disease (7), STsegment (STEMI) (8) and non-ST segment elevation myocardial infarction (NSTEMI) (6), cardiac syndrome X (9). Moreover, clinical utility of PCT has been reported in both coronary slow flow phenomenon and saphenous vein graft disease (10,11). Platelet to lymphocyte ratio (PLR) is defined as the ratio of the platelet to lymphocyte count obtained from the same blood sample (12).…”

Section: Introductionmentioning

confidence: 99%

Association Between New Platelet Indices And Calcific Aortic Stenosis: Plateletcrit And Platelet to Lymphocyte Ratio

Çakmak¹,

Enhoş²,

Ertürk³

et al. 2016

Van Med J

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“…Elevated PCT values on admission are independently associated with long-term adverse outcomes in patients with STEMI who undergo primary angioplasty (35) . It was reported that increased RDW and PDW in slow coronary flow (SCF) patients may cause microvascular blood flow resistance due to impaired cell deformability and that PCT provides reliable data regarding total platelet mass and may be a useful predictor of SCF (34) . Another study showed that PCT has an important predictive value for saphenous vein graft disease, with an implication for its possible use as a marker for antiplatelet therapy to prevent graft degeneration in patients undergoing bypass surgery (11) .…”

Section: Discussionmentioning

confidence: 99%

Plateletcrit and Platelet Distribution Width as Independent Predictors of Coronary Artery Ectasia

Hamur¹,

Kalkan²,

Duman³

et al. 2016

Kosuyolu Heart Journal

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Introduction: Coronary artery ectasia (CAE) is characterised by an abnormal dilatation of the coronary arteries. Platelet volume indices, including the mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (PCT) and platelet count, are indicators of platelet activation. In this study, we investigated platelet volume indices in patients with CAE. Patients and Methods:The study group included 51 patients (38 men; mean age: 52 ± 9.9 years) with isolated CAE and 50 individuals with normal coronary arteries (39 men; mean age: 54 ± 11.3 years). Admission platelet volume indices were measured as part of the automated complete blood count.Results: Platelet count, MPV, PCT and PDW were higher in CAE than in the control group (p< 0.05). Multivariate analysis revealed PDW (odds ratio: 0.22, 95% confidence interval: 0.06-0.73, p= 0.013) and PCT (odds ratio: 3.41, 95% confidence interval: 1.66-6.98, p≤ 0.001) as independent predictors of CAE. Conclusion:This study demonstrates that PCT and PDW are independent predictors of CAE.Key Words: Coronary artery ectasia; coronary artery disease; mean platelet volume; platelet distribution width Plateletkrit ve Trombosit Dağılım Genişliği Koroner Arter Ektazisinin Bağımsız Öngördürücüsüdür ÖZETGiriş: Koroner arter ektazisi (KAE), koroner arterlerin anormal genişlemesi ile karakterize edilir. Ortalama trombosit hacmi (OTH), trombosit dağılım genişliği (TDG), plateletkrit (PKT) dahil olmak üzere trombosit hacmi endeksleri ve trombosit sayısı trombosit aktivasyonunun göstergeleridir. Bu çalışmada KAE'li hastalarda trombosit hacmi endeksleri incelendi. Hastalar ve Yöntem: Çalışmaya, izole KAE'si olan 51 (38 erkek; ortalama yaş: 52 + 9.9 yıl) hasta ve koroner arterleri normal olan 50 (39 erkek; ortalama yaş: 54 + 11.3 yıl) sağlıklı birey dahil edildi. Başvuruda trombosit hacmi endeksleri otomatik tam kan sayımı parçası olarak ölçüldü. Sonuç: Bu çalışma, PKT ve TDG'nin KAE'nin bağımsız belirleyicileri olduğunu göstermektedir.

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Plateletcrit and red cell distribution width are independent predictors of the slow coronary flow phenomenon

Cited by 86 publications

References 32 publications

Coronary slow flow phenomenon: Clinical findings and predictors

Coronary slow flow phenomenon: Clinical findings and predictors

Association Between New Platelet Indices And Calcific Aortic Stenosis: Plateletcrit And Platelet to Lymphocyte Ratio

Plateletcrit and Platelet Distribution Width as Independent Predictors of Coronary Artery Ectasia

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