Peripheral hemorheological and vascular correlates of coronary blood flow

Damaske, Ana; Muxel, Selina; Fasola, Federica; Radmacher, Marie Christine; Schaefer, S.; Jabs, Alexander; Orphal, Dörte; Wild, Philipp S.; Parker, John D.; Fineschi, Massimo; Münzel, Thomas; Forconi, S; Gori, Tommaso

doi:10.3233/ch-2011-1476

Cited by 26 publications

(15 citation statements)

References 51 publications

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“…14 Also, increased blood viscosity is linked with metabolic syndrome, hypertension, diabetes, ischemic heart disease, and stroke, which all are associated with chronic inflammation. [11][12][13][14] Finally, NAFLD is characterized by an atherogenic lipid profile, consisting of high TG levels, low HDL cholesterol, and high LDL levels. A number of studies have demonstrated that WBV is positively correlated with LDL cholesterol and TG concentrations, and negatively correlated with HDL cholesterol.…”

Section: Discussionmentioning

confidence: 99%

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Increased whole blood viscosity associated with arterial stiffness in patients with non‐alcoholic fatty liver disease

Zhang

2014

J of Gastro and Hepatol

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Section: Discussionmentioning

confidence: 99%

“…[8][9][10] Moreover, increased viscosity is observed in metabolic syndrome, hypertension, diabetes, ischemic heart disease, stroke, and cognition. [11][12][13][14] A recent study confirmed that whole blood viscosity (WBV) is a predictor of cardiovascular events.…”

Section: Introductionmentioning

confidence: 92%

Increased whole blood viscosity associated with arterial stiffness in patients with non‐alcoholic fatty liver disease

Zhang

2014

J of Gastro and Hepatol

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“…Although MPV cannot be considered as an index of left atrial thrombus in patients with AF [21], it was a predictive marker for stroke, and its predictive power for stroke was independent of age, gender, and other risk factors in patients with AF [3]. In patients without AF, it has been reported that MPV level was significantly associated with coronary blood flow and that elevated MPV level might be an independent predictor for the presence of slow coronary flow [22,23]. In non-diabetic slow coronary flow patients, TIMI frame counts correlated with MPV and increased insulin resistance, and MPV was associated with insulin resistance, suggesting that insulin resistance and platelet activity might have a role in the pathogenesis of slow coronary flow [24].…”

Section: Association Between Mpv and Mtfc In Af Patientsmentioning

confidence: 99%

Relationship Between Mean Platelet Volume and Coronary Blood Flow in Patients with Atrial Fibrillation

Chen

Mei

Luo

et al. 2013

Heart, Lung and Circulation

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“…13 Measurement of endothelial function, by the brachial artery flow-mediated dilatation (FMD), is impaired in people presenting with CSF. 14 In patients with CSF nitric oxide (NO) bioactivity is decreased, and impaired vascular endothelial function is seen. 15 It is noted that the concentration of adiponectin and paraoxonase activity two critical markers of endothelial dysfunction are markedly reduced in patients with a CSF.…”

Section: Discussionmentioning

confidence: 99%

Predictors of Coronary Slow Flow Phenomenon: A Retrospective Study

Rao

Garre

2019

Ind J Car Dis Wom

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Aim This study aimed to analyze laboratory predictors, angiographic profile, clinical profile, and risk factors for coronary slow flow (CSF) phenomenon without coronary obstructive lesion in patients who came for a coronary angiogram. Materials and Methods The case-control study consisted of patients who underwent coronary angiography and were divided into two groups: patients with coronary slow flow (case group, n = 100) and patients with the normal coronary flow (control group, n = 100). Coronary flow was studied using corrected thrombolysis in myocardial infarction frame count (CTFC). The slow flow was defined as CTFC beyond 2 standard deviations from the normal published range. Risk factors including age, sex, diabetes mellitus (DM), hypertension, dyslipidemia, smoking, body mass index (BMI), hematological and biochemical parameters (complete blood picture, platelet count, total and differential leucocyte count, platelet-to-lymphocyte ratio [PLR], neutrophil-to-lymphocyte ratio [NLR] and lipid profile) were assessed. In both groups, clinical information was collected, and laboratory parameters were measured and compared. Results Patients with CSF were more likely to be male and active smokers. Total cholesterol, triglyceride, BMI, and DM were more commonly seen in the CSF group compared with the control group. Inflammatory markers like uric acid (p = 0.03) and high-sensitivity C-reactive protein (Hs-CRP) (p = 0.000) were found to be statistically significant. Hematocrit (p = 0.023), NLR (p = 0.001), total cholesterol (p = 0.000), triglycerides (p = 0.000), and BMI (p = 0.000) were statistically significant. PLR has the tendency of statistically significance (p = 0.059) BMI, total cholesterol, triglycerides, and Hs-CRP were strong predictors for CSF. Conclusion CSF was common in males, smokers, DM patients, and it was associated with high NLR, uric acid, and Hs-CRP levels. The independent predictor of CSF was BMI, total cholesterol, triglycerides, and Hs-CRP levels. These findings provide an impetus for additional studies to confirm the role of other inflammatory markers in CSF patients and treatment strategies depending on that.

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Peripheral hemorheological and vascular correlates of coronary blood flow

Cited by 26 publications

References 51 publications

Increased whole blood viscosity associated with arterial stiffness in patients with non‐alcoholic fatty liver disease

Increased whole blood viscosity associated with arterial stiffness in patients with non‐alcoholic fatty liver disease

Relationship Between Mean Platelet Volume and Coronary Blood Flow in Patients with Atrial Fibrillation

Predictors of Coronary Slow Flow Phenomenon: A Retrospective Study

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