scholarly journals Association of Blood Cell Parameters of Peripheral Inflammation With Brain Imaging Measures

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 646-646
Author(s):  
Yuan Fang ◽  
Kathryn Lunetta ◽  
Jesse Mez ◽  
Michael Alosco ◽  
Claudia Satizabal ◽  
...  
Keyword(s):  
Blood Cell ◽  
Brain Aging ◽  
Brain Mri ◽  
Random Effect ◽  
Peripheral Inflammation ◽  
Intracranial Volume ◽  
Blood Draw ◽  
Mixed Effect ◽  
Distribution Width ◽  
Cell Parameters

Abstract Neutrophil to lymphocyte ratio (NLR), red cell distribution width (RDW), and mean platelet volume (MPV), are easily measured circulating blood cell parameters that reflect chronic peripheral inflammation which increases risk for dementia and Alzheimer’s disease (AD). We investigated the cross-sectional association between these blood cell parameters and brain MRI measures, including total cerebral brain volume (TCBV) as percentage of total intracranial volume (TCV) to correct for differences in head size, hippocampal volume (HPV) and log transformed white matter hyperintensity (WMH) volume, in the Framingham Heart Study (FHS) cohorts. We identified 2882 FHS participants 25 to 92 years of age (mean 59 years), 53% women, who attended an exam that included a complete blood cell count sample and received a brain MRI within five years of blood draw. We used linear mixed effect models to examine associations, adjusting for age, age^2, sex, education, cohort, time between blood draw and MRI, prevalent cardiovascular disease, C-reactive protein, APOE-ϵ4 genotype and TCV for HPV and WMH, and accounting for familial correlation using a random effect. We observed significant (p≤0.01) associations between higher RDW and smaller TCBV, and between elevated NLR and larger WMH volume. Analysis on an older subgroup (age ≥60 years, mean 71 years, n=1357) demonstrated larger effect sizes and additional significance between increased RDW with smaller HPV. We conclude that chronic peripheral inflammation as measured by NLR and RDW associates with MRI measures of brain aging (TCBV, HPV) and vascular brain injury (WMH) in FHS, with stronger impact in participants ≥60 years.

Blood Cell Parameters and Predicting Coronary In-Stent Restenosis

Angiology ◽  
2019 ◽  
Vol 70 (8) ◽  
pp. 711-718 ◽  
Author(s):  
Zhichao Wang ◽  
Chi Liu ◽  
Hong Fang
Keyword(s):  
Blood Cell ◽  
Platelet Activation ◽  
Blood Cells ◽  
Inflammatory Marker ◽  
Distribution Width ◽  
Cell Parameters ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Stent Restenosis ◽  
In Stent Restenosis

Major advances in coronary interventional techniques and pharmacotherapy as well as the use of drug-eluting stents (DESs) have considerably reduced the risk of in-stent restenosis (ISR). However, ISR remains a major clinical challenge. Inflammation and platelet activation are important processes that underlie the pathophysiology of ISR. Parameters related to blood cells, entailing both cell count and morphology, are useful markers of the inflammatory response and platelet activation in clinical practice. Recent studies have highlighted several new combined or derived parameters related to blood cells that independently predict ISR after DES implantation. The neutrophil/lymphocyte ratio, an inflammatory marker, is regarded as a predictor of the risk of ISR and the stability of atherosclerotic plaques. The mean platelet volume, a widely used platelet activation parameter, has been shown to be a predictor of the risk of ISR and the efficacy of antiplatelet therapy. Other markers considered include the platelet/lymphocyte ratio, red blood cell distribution width, and platelet distribution width. This review provides an overview of these parameters that may help stratify the risk of coronary angiographic and clinical outcomes related to ISR.

scholarly journals Platelet Distribution Width Is Associated with P-Selectin Dependent Platelet Function: Results from the Moli-Family Cohort Study

Cells ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 2737
Author(s):  
Benedetta Izzi ◽  
Alessandro Gialluisi ◽  
Francesco Gianfagna ◽  
Sabatino Orlandi ◽  
Amalia De Curtis ◽  
...  
Keyword(s):  
Platelet Activation ◽  
Platelet Function ◽  
Ex Vivo ◽  
Venous Blood ◽  
Random Effect ◽  
Platelet Distribution Width ◽  
Mixed Effect ◽  
Distribution Width ◽  
Inflammatory Conditions

Defined as an index of platelet size heterogeneity, the platelet distribution width (PDW) is still a poorly characterized marker of platelet function in (sub)clinical disease. We presently validated PDW as a marker of P-selectin dependent platelet activation in the Moli-family cohort. Platelet-bound P-selectin and platelet/leukocyte mixed aggregates were measured by flow cytometry in freshly collected venous blood, both before and after in vitro platelet activation, and coagulation time was assessed in unstimulated and LPS- or TNFα-stimulated whole blood. Closure Times (CT) were measured in a Platelet Function Analyzer (PFA)-100. Multivariable linear mixed effect regression models (with age, sex and platelet count as fixed and family structure as random effect) revealed PDW to be negatively associated with platelet P-selectin, platelet/leukocyte aggregates and von Willebrand factor (VWF), and positively with PFA-100 CT, and LPS- and TNF-α-stimulated coagulation times. With the exception of VWF, all relationships were sex-independent. In contrast, no association was found between mean platelet volume (MPV) and these variables. PDW seems a simple, useful marker of ex vivo and in vitro P-selectin dependent platelet activation. Investigations of larger cohorts will define the usefulness of PDW as a risk predictor of thrombo-inflammatory conditions where activated platelets play a contributing role.

Abstract MP46: Growth Factors Are Associated With Imaging Markers of Brain Aging in Young Adults

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Claudia L Satizabal ◽  
Alexa Beiser ◽  
Jayandra J Himali ◽  
Rhoda Au ◽  
Philip A Wolf ◽  
...  
Keyword(s):  
Young Adults ◽  
Growth Factors ◽  
White Matter ◽  
Growth Factor ◽  
White Matter Hyperintensities ◽  
Brain Aging ◽  
Brain Mri ◽  
Blood Draw ◽  
Brain Volumes ◽  
Angiopoietin 2

Metabolic and vascular dysregulation are related to stroke, cognitive decline and dementia. Growth factor biomarkers of these processes, such as Insulin-like Growth Factor 1 (IGF1) and Vascular Endothelial Growth Factor (VEGF) have been associated with risk of neurodegeneration and stroke in middle-aged and older Framingham participants. Additionally, hepatocyte growth factor (HGF) and angiopoietin 2 are novel biomarkers of interest as they have been related to cardiovascular events. As abnormal brain changes probably start years before clinical symptoms, we hypothesize that circulating growth factors are related to MRI endophenotypes of brain aging. We included 1,877 individuals aged 46±8 years from the Framingham Study. Blood samples were collected during 2008-2011, and used to measure IGF1, VEGF, HGF, angiopoietin 2 and its receptor tyrosine kinase (TIE2). Participants underwent brain MRI examination (2009-2013) from which brain volumes and white matter hyperintensities were estimated. We related growth factor levels to brain MRI markers adjusting for age, sex, time between blood draw and MRI, and cardiovascular risk factors. Lower IGF1, as well as higher HGF and angiopoietin 2 levels were associated with higher ventricular volumes indicative of brain shrinkage. Higher TIE2 levels were associated with lower total brain and gray matter volumes, while higher angiopoietin 2 levels were associated with lower white matter volumes. Lower IGF1 levels were also associated with reduced hippocampal volumes. Finally, higher TIE2 levels were associated with larger white matter hyperintensities. Our results suggest that growth factors are associated with neurodegenerative and cerebrovascular markers of brain aging in healthy young adults. Whereas IGF1 seems protective, higher levels of HGF, angiopoietin 2 and TIE2 were associated with greater subclinical brain injury. These associations expand our understanding of the earliest stages of brain aging. We will extend our findings by analyzing cognitive outcomes.

Correlation of Red Blood Cells and Platelets Parameters.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 3764-3764
Author(s):  
Zoi Saouli ◽  
Georgia Kaiafa ◽  
Fotios Girtovitis ◽  
Zisis Kontoninas ◽  
George Ntaios ◽  
...  
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
Red Blood Cell ◽  
Blood Cells ◽  
Red Cell ◽  
Blood Cell Count ◽  
Distribution Width ◽  
Mean Values ◽  
Cell Parameters ◽  
The Mean

Abstract INTRODUCTION: Platelet along with red blood cell count is a part of complete blood cell count, one of the most frequent laboratory tests in medicine. Platelet distribution width, plateletcrit and mean platelet volume are three indices provided by hematological analyzers. There are few reports in literature regarding the correlation of these three parameters with red blood cell parameters. AIM: Aim of this study is to investigate the correlation between these platelets parameters and red cell parameters: hematocrit, mean corpuscular volume and red blood cell distribution width. METHODS: Three hundred and three healthy blood donor volunteers (176 men and 127 women, mean age 37,3 years) were included. None of them had any known hematological disease in the past. The parameters mentioned above were measured by the automated hematological analyzer Coulter®LH780. RESULTS: The mean values for platelets were: PCT: 0,25±0,11%, MPV: 8,11±1,94 fL and PDW: 15,89±2,74%. The mean values for their parallel red blood cell parameters were: HCT: 40,55±2,63%), MCV: 91±4,17 fL, RDW: 13,3±1,35% Statistical and regression analysis including the correlation coefficient between platelet and red cell parameters as well as Student’s t-test was carried out. CONCLUSIONS: There seems to be no significant correlation between HCT and PCT. MCV and MPV were not correlated significantly as well, indicating that red blood cell and platelet sizes are independent. But there is a statistically significant correlation between RDW and PDW (r: 0,68, p<0,01) demostrating that anisocytosis of red blood cells and platelets might occur simultaneously. Based on these observations, further more studies should be carried out for the correlation between platelets and red blood cell indices in certain disorders.

scholarly journals Evaluation of Red Blood Cell Parameters as a Biomarker for Long-Term Glycemic Control Monitoring Among Type 2 Diabetic Patients in Southwest Ethiopia: A Cross-Sectional Study

2021 ◽  
Author(s):  
Misganaw Asmamaw ◽  
Tariku Sime ◽  
Kumsa Kene ◽  
Minale Fekadie ◽  
Muluken Teshome ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Red Cell Distribution Width ◽  
Mean Corpuscular Hemoglobin ◽  
Red Cell ◽  
Cell Distribution ◽  
Corpuscular Hemoglobin ◽  
Distribution Width ◽  
Cell Parameters

Abstract Background: Type 2 Diabetes Mellitus (T2 DM) is a common type of DM characterized by hyperglycemia. Glycation of hemoglobin and related proteins in DM can affect the physiological and structural properties of red blood cells. Although glycated hemoglobin (HbA1c) test continues to be the gold standard for the assessment of long-term glycemic control accessibility and affordability of the test in routine diagnosing service are still limited in developing countries. Hence, this study was aimed to assess red blood cell parameters as a biomarker for long-term glycemic monitoring among T2 DM patients.Methods: Facility-based cross-sectional study through a consecutive sampling technique was conducted among 124 T2 DM patients at the chronic illness follow-up clinic of Jimma Medical Center (JMC) from July 27 to August 31, 2020. A structured questionnaire was used to collect socio-demographic and clinical-related data. Five milliliters of the blood specimen was collected from each eligible T2 DM patient. HbA1c and red blood cell parameters were determined by Cobas 6000 and DxH 800 fully automated analyzers respectively. Data were entered into Epi-data software version 3.1 and exported to SPSS 25 version for analysis. Independent t-test and Pearson’s correlation coefficient were used to address the research questions. A P-value < 0.05 was considered statistically significant. Results: The mean age of study participants was 51.84± 11.6 years. 60.5% of T2 DM patients were in poor glycemic control. There was a significant mean difference between good and poor glycemic controlled T2 DM patients in red blood cell count (4.79±0.5 vs 4.38±0.8), hemoglobin (14.13±1.4 vs 13.60±1.6), mean corpuscular volume (89.52±4.7 vs 92.62±7.5), mean corpuscular hemoglobin (29.63±1.6 vs 30.77±2.9), and red cell distribution width (13.68±1.1 vs 14.63±1.2) respectively. Red blood cell count was inversely correlated (r=-0.280, p=0.002) with HbA1c while mean corpuscular volume (r=0.267, p=0.003), mean corpuscular hemoglobin (r=0.231, p=0.010), and red cell distribution width (r= 0.496, p=0.000) were positively correlated with level of HbA1c. Conclusion: Red cell count, mean corpuscular volume, mean corpuscular hemoglobin, and red cell distribution width could be useful indicators to monitor the glycemic status of T2 DM patients instead of HbA1c, though large prospective studies should be considered.

scholarly journals Association of blood cell parameters of peripheral inflammation with cognitive function

2021 ◽  
Vol 17 (S5) ◽  
Author(s):  
Yuan Fang ◽  
Kathryn L. Lunetta ◽  
Jesse Mez ◽  
Claudia L. Satizabal ◽  
Michael L. Alosco ◽  
...  
Keyword(s):  
Cognitive Function ◽  
Blood Cell ◽  
Peripheral Inflammation ◽  
Cell Parameters

scholarly journals Continuous changes in biological levels of complete blood count in a high altitude area of China

2020 ◽  
Vol 8 ◽  
pp. 205031212093133 ◽  
Author(s):  
Xuan Luo ◽  
Lei Feng ◽  
XueJing Bai ◽  
JiangXian Zhu ◽  
GuanCheng Zhao ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cells ◽  
Blood Cells ◽  
Complete Blood Count ◽  
White Blood Cells ◽  
Age Groups ◽  
Reference Interval ◽  
Distribution Width ◽  
Men And Women ◽  
Cell Parameters

Objectives: We aimed to establish a new reference interval of blood cell parameters by classifying and counting blood Cells of 16- to 85-year-old healthy volunteers and observing continuous changes with age. Methods: We analyzed the blood cell parameters of 42,678 cases (men, 24,406; women, 18,272), and compared the blood cell parameters of men and women in different age groups using an independent samples t-test. Using limits of 2.5%–97.5%, a 90% confidence interval was used to develop new reference intervals. Results: Counts of blood cell parameters, including white blood Cells, neutrophils, lymphocytes, monocytes, eosinophils, basophils, red blood Cells, hemoglobin, hematocrit, distribution width of red blood Cells and platelets, were found to differ between men and women in different age groups. These parameters were used to establish a new reference interval of blood Cells. Conclusion: The blood cell parameters of both men and women changed with increasing age. The reference interval that we established will provide more accurate basic evidence for clinical diagnosis and treatment of diseases.

scholarly journals Performance Evaluation of Automated Impedance and Optical Fluorescence Platelet Counts Compared With International Reference Method in Patients With Thalassemia

2017 ◽  
Vol 141 (6) ◽  
pp. 830-836 ◽  
Author(s):  
Chaicharoen Tantanate ◽  
Ladawan Khowawisetsut ◽  
Kovit Pattanapanyasat
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Demographic Data ◽  
Reference Method ◽  
Thalassemia Major ◽  
Distribution Width ◽  
International Reference ◽  
Cell Parameters ◽  
Platelet Counts ◽  
Automated Methods

Context.— Spurious platelet counts from automated methods have been reported in patients with abnormal red blood cells. However, there is no specific study regarding performance of platelet counts by automated methods in patients with thalassemia. Objective.— To investigate the performance of automated platelet counts, including impedance (PLT-I) and optical fluorescent (PLT-O and PLT-F) methods, and compare them with the international reference method (IRM) for platelet counting in patients with thalassemia. Design.— Two hundred forty-nine thalassemia specimens from various subtypes were examined. PLT-I, PLT-O, and PLT-F from a Sysmex XN analyzer were evaluated and compared against the IRM. Demographic data, platelet counts, and red blood cell parameters are shown. Comparability between evaluated methods and IRM, as well as test characteristics, is presented. Factors involving inaccurate PLT-I were analyzed. Results.— Specimens with platelet counts ranging from 31 × 103/μL to 932 × 103/μL were included. Most patients were patients with thalassemia major. Correlation between PLT-I and IRM was lower than that of the other methods in overall patients. PLT-O and PLT-F were correlated to IRM when classifying patients according to clinically significant platelet ranges. All automated methods had acceptable sensitivities; however, specificity of PLT-I was low for diagnosis of thrombocytopenia. High RDW-CV (red blood cell distribution width–coefficient of variation) was an independent factor of inaccurate PLT-I measurement. Conclusions.— Among the evaluated methods, PLT-I was the method least correlated to IRM, with PLT-O and PLT-F comparable to IRM in patients with thalassemia. Optical platelet counts and careful blood smear examination are recommended alternative platelet counting methods, depending on the clinical setting.

scholarly journals Study of the correlation between red blood cell parameters in the patients with coronary heart disease and heart failure

2017 ◽  
Vol 5 (6) ◽  
pp. 2293
Author(s):  
Mohamed Abdirahman Abdinur ◽  
Xie Yong ◽  
Kong Lingcai ◽  
Farah Abdidahir Mohamud ◽  
Jamac Abdidahir Mohamud ◽  
...  
Keyword(s):  
Heart Failure ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Predictive Ability ◽  
Cell Distribution ◽  
Distribution Width ◽  
Cell Parameters ◽  
Significant Difference

Background: An increase of red blood cell distribution width (RDW) may have a certain effect to predict and evaluate the incidence and prognosis of coronary heart disease or chronic heart failure.Methods: Our retrospective study covered a total of 230 patients that were included due to a variety of indications for coronary angiography. Patients were defined into 2 categories; CAG (-) group (n=100), and CAG (+) group (n=130). The 2 groups were compared in order to investigate the differences between their RDW and other factors related and then further were sub-dived into 4 groups according to the NYHA functional class.Results: We observed that the patients in CAG (-) group 12.78±0.90; CAG (+) group 12.90±1.10 and had no significant difference in RDW. However higher RDW in patients with HF on all-cause was detected, 13.50±1.12 of group CAG (-)/NYHA II-IV and 13.39±1.31 of group CAG (+)/NYHA II-IV and there is statistical difference compared to group CAG (-)/NYHAI and group CAG (+)/NYHA I which were 12.80±0.47 and 12.87±0.69 respectively (P<0.001). There has no difference between the HF groups CAG (-)/NYHA II-IV and CAG (+)/NYHA II-IV group with (P=0.920), and no difference between groups without heart failure of (P=0.979).Conclusions: Although RDW had no predictive ability of coronary heart disease, but the elevation of RDW was highly and independently associated with chronic HF. Therefore, RDW can be clinically used as a parameter in risk stratification of patients with HF.

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