Association Of Platelet Indices Research Articles

Platelet Indices – Are They Really Biomarkers in Psoriasis? A Cross-sectional Study

Background: Psoriasis is a chronic inflammatory disorder with multiple systemic manifestations in common with other inflammatory disorders. Platelet activation has recently been proposed a major pathogenic factor in psoriasis. Mean platelet volume (MPV) and platelet distribution width (PDW) are considered platelet activation markers. Although there are various inflammatory markers reported to be abnormal in psoriasis, a simple cost-effective and clinically useful marker that could predict the severity of the disease and be used to know about its association with systemic abnormalities and response to treatment is still under study. Aim: The aim of our study was to look at the association of platelet indices with psoriasis and its severity. Methods: This was a single-center cross-sectional study in which 50 patients with psoriasis and 50 apparently healthy age and sex-matched controls who fulfilled the inclusion and exclusion criteria were enrolled after obtaining informed consent. A detailed history was elicited, and a clinical examination was done including anthropometric measurements and calculation of psoriasis area and severity index (PASI). Investigations including hemoglobin, red blood cell (RBC) count, packed cell volume (PCV), mean corpuscular volume, mean corpuscular hemoglobin (MCH), MCH concentration, white blood cell (WBC) and platelet count, plateletcrit, MPV, PDW, and red cell distribution width (RDW) were done. Results: Out of 50 psoriasis patients recruited, 40 (80%) had moderate-to-severe psoriasis, whereas 10 had mild psoriasis (10%) based on PASI scores. In majority of cases, the hemoglobin, PCV, RBC, and WBC counts were within the normal range and were comparable with that of controls. There was no statistically significant difference in the mean values of platelet count, MPV, PDW, plateletcrit, and RDW between cases and controls. There was no significant association between platelet indices and severity of psoriasis. Conclusion: There was no significant association between platelet indices including RDW and the presence or absence of psoriasis in our study. Furthermore, among patients with psoriasis, there was no significant association between platelet indices and severity of the disease.

Association of Platelet Indices with Diabetic Complications: A Cross-sectional Study

Introduction: Diabetes Mellitus is a prothrombotic state characterised by enhanced platelet activity, which may lead to microvascular and macrovascular complications. Platelet indices, such as Mean Platelet Volume (MPV) and Platelet Distribution Width (PDW), are routinely available in laboratories and can serve as a prognostic markers for patients. Aim: To evaluate platelet indices in patients with Type 2 Diabetes Mellitus (T2DM) and associated complications. Materials and Methods: A cross-sectional study was conducted at the Department of Pathology in Krishna Vishva Vidyapeeth’s Krishna Hospital and Medical Research Centre, Karad, Maharashtra, India, from July 2020 to May 2022. A total of 120 patients with type 2 diabetes, both with and without complications, were investigated. Haematological parameters (platelet count and platelet indices such as MPV and PDW) and biochemical parameters {fasting blood sugar and Haemoglobin A1c (HbA1c)} were compared between the two groups. Platelet indices were measured using an automated haematology analyser. Statistical analysis was performed using the t-test, Analysis of Variance (ANOVA), and Statistical Package for Social Sciences (SPSS) version 16.0. Results: The study included 60 cases each of DM with complications and without. Among those with complications, 17 (28.33%) were aged 51-60 years, 14 (23.33%) were 61- 70 years old, and 12 (20%) were over 70 years. The mean MPV was 12.74±3.076 fL for patients with complications and 8.65±1.58 fL for those without. The mean PDW was 15.54 15.54±3.31 fL for patients with complications and 13.94±2.66 for those without. The mean HbA1c levels were 8.33 mmol/ mol for patients with complications and 6.75 mmol/mol for those without. The mean platelet count was 3.12 lakh/mm³ for patients with complications and 2.45 lakh/mm³ for those without. The mean fasting blood sugar levels were 219.65 mmol/L for patients with complications and 109.96 mmol/L for those without. Conclusion: Diabetes contributes to endothelial dysfunction and platelet hyperactivity. The present study reveals that diabetic patients with uncontrolled glycaemic indices and elevated fasting blood sugar levels have higher platelet indices compared to patients without complications, where the platelet count, platelet indices, and glycaemic indices were within normal limits. These indices may also serve as useful prognostic tools.

Association of platelet indices with glycemic status in diabetic dogs.

We investigated the platelet count (PLT), mean platelet volume (MPV), and plateletcrit (PCT) in dogs with type 1 diabetes mellitus (DM) compared to healthy controls, and their association with the major fraction of glycated hemoglobin (HbA1c). Blood samples from 33 clinically healthy dogs and 14 newly diagnosed diabetic dogs were included. CBCs were performed with the Advia 120; HbA1c was determined using a validated assay (Capillarys 2 flex-piercing; Sebia). Median [range] PLT and PCT were significantly higher (p = 0.040 and p = 0.010, respectively) in diabetic dogs (434 [176-987] × 109/L and 0.60 [0.26-1.22]%, respectively) compared to healthy dogs (297 [223-671] × 109/L and 0.35 [0.24-0.87]%, respectively]. Thrombocytosis was observed in 6 of 14 (43%) diabetic dogs. The median MPV was not significantly different (p = 0.114) between the diabetic (13.6 fL, 10.1-22.6 fL) and healthy dogs (11.9 fL, 8.6-19.1 fL). A significant, albeit weak, correlation was detected between HbA1c and PLT (rho = 0.298, p = 0.042) and PCT (rho = 0.340, p = 0.019), but no significant correlation was found with MPV (rho = 0.199, p = 0.180). Canine DM was associated with increased PLT and PCT, which was correlated with glycemic status. Our findings suggest dysregulated megakaryopoiesis in diabetic dogs, but this should be confirmed by large-scale studies, and the clinical implications should be investigated.

The association of platelet indices with diabetic retinopathy: what's next?

The association of platelet indices with diabetic retinopathy: what's next?

Associations of platelet indices with proteinuria and chronic kidney disease.

ObjectivesPlatelet (PLT) indices are predictive in many diseases and conditions. The relationships of these indices with proteinuria and progression of renal disease are not well known. This study aimed to assess PLT indices in patients with primary glomerular nephrotic range proteinuria (PGNRP), with and without chronic kidney disease (CKD), and to compare these indices with those of healthy individuals (His).MethodsThis cross-sectional study was performed from January 2015 to May 2015. HIs (n = 57) and patients with PGNRP (n = 41) were enrolled. PLT indices and blood biochemistry parameters were compared between HIs and patients with PGNRP, as well as between subgroups of patients with PGNRP who had CKD (n = 23) and those who did not have CKD (n = 18).ResultsThere were no statistically significant differences in any PLT indices (i.e., platelet number, mean platelet volume, plateletcrit, and platelet distribution width) between HIs and patients with PGNRP, or between the subgroups of patients with PGNRP. However, patients with PGNRP who had CKD exhibited higher median C-reactive protein and mean albumin levels, compared with patients who did not have CKD.ConclusionsPathological processes in proteinuria and CKD are not associated with PLT indices.

An association of platelet indices with blood pressure in Beijing adults: Applying quadratic inference function for a longitudinal study.

The quadratic inference function (QIF) method becomes more acceptable for correlated data because of its advantages over generalized estimating equations (GEE). This study aimed to evaluate the relationship between platelet indices and blood pressure using QIF method, which has not been studied extensively in real data settings.A population-based longitudinal study was conducted in Beijing from 2007 to 2012, and the median of follow-up was 6 years. A total of 6515 cases, who were aged between 20 and 65 years at baseline and underwent routine physical examinations every year from 3 Beijing hospitals were enrolled to explore the association between platelet indices and blood pressure by QIF method. The original continuous platelet indices were categorized into 4 levels (Q1-Q4) using the 3 quartiles of P25, P50, and P75 as a critical value. GEE was performed to make a comparison with QIF.After adjusting for age, usage of drugs, and other confounding factors, mean platelet volume was negatively associated with diastolic blood pressure (DBP) (Equation is included in full-text article.)in males and positively linked with systolic blood pressure (SBP) (Equation is included in full-text article.). Platelet distribution width was negatively associated with SBP (Equation is included in full-text article.). Blood platelet count was associated with DBP (Equation is included in full-text article.)in males.Adults in Beijing with prolonged exposure to extreme value of platelet indices have elevated risk for future hypertension and evidence suggesting using some platelet indices for early diagnosis of high blood pressure was provided.

Large Population Study for Age- and Gender- Related Variations of Platelet Indices in Southwest China Healthy Adults

Aim: The present data on the evaluation of platelet parameters in Chinese Han population are still limited. This study was to identify age- and sex-specific variations of platelet indices in Southwest China, including platelet count (PLT), mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (PCT) and platelet-large cell ratio (P-LCR), through a large-scale investigation of healthy people. Methods: We performed a retrospective analysis on 46872 local healthy individuals (men: n=26,582 and women n=20,290) aged >18yrs. All the subjects were healthy people through the health screening. PLT indices were measured with Sysmex XE-2100 blood cell automatic analyzer. Associations of platelet indices with dependent variables were investigated by ANOVA analysis. Correlation was assessed by the Pearson’s correlation coefficient(r). Statistical analyses were performed with SPSS 20.0 software (Chicago, IL) and Excel 2007. Results: The distribution of platelet count and PCT by age and gender shows a slow, progressive decline with aging in both males and females. On average, a 10-year increase in age corresponds to an average of 6×109/L decrease in platelet count, adjusting for gender (P<0.001). On the contrary, the distribution of MPV, PDW, P-LCR and MPV/PLT ratio by age and gender shows a slow, progressive increasing trend with aging in both genders. The age was negatively correlated with PLT (r=-0.23, P=0.000), PCT (r=-0.24, P=0.000). While age was positively correlated with either MPV (r=0.1, P=0.72), PDW (r=0.1, P=0.024), P-LCR (r=0.09, P=0.002), and MPV/PLT (r=0.21, P=0.001). A positive correlation between MPV and PDW, MPV and P-LCR, PDW and P-LCR was observed, while negative correlation between MPV and PLT, PDW and PLT, P-LCR and PLT was also presented. It’s very interesting that mean PLT in Southwest China Chengdu region was lower than other countries while the MPV, PDW, P-LCR, MPV/PLT values in our study was found to be higher than all other results reported. All of the platelet indices except for MPV showed significantly different distributions from males to females. Conclusion: These findings suggest that the platelet indices could be greatly influenced in healthy subjects by age and sex. The lower platelet count accompanied with higher MPV, PDW and P-LCR, which were possibly the result of the adaption to the basin environment. Based on these findings, it would be reasonable to conduct formal prospective studies to determine the clinical significance. Further studies should be necessary to make additional verification. Unique reference ranges of some routine inspection items should also be established for people of different ethnic groups or in different regions.

White blood cell count, sex and age are major determinants of heterogeneity of platelet indices in an adult general population: results from the MOLI-SANI project

The understanding of non-genetic regulation of platelet indices--platelet count, plateletcrit, mean platelet volume, and platelet distribution width--is limited. The association of these platelet indices with a number of biochemical, environmental and clinical variables was studied in a large cohort of the general population. Men and women (n=18,097, 52% women, 56±12 years) were randomly recruited from various villages in Molise (Italy) in the framework of the population-based cohort study "Moli-sani". Hemochromocytometric analyses were performed using an automatic analyzer (Beckman Coulter, IL, Milan, Italy). Associations of platelet indices with dependent variables were investigated by multivariable linear regression analysis. Full models including age, sex, body mass index, blood pressure, smoking, menopause, white and red blood cell counts, mean corpuscular volume, D-dimers, C-reactive protein, high-density lipoproteins, low-density lipoproteins, triglycerides, glucose, and drug use explained 16%, 21%, 1.9% and 4.7% of platelet count, plateletcrit, mean platelet volume and platelet distribution width variability, respectively; variables that appeared to be most strongly associated were white blood cell count, age, and sex. Platelet count, mean platelet volume and plateletcrit were positively associated with white blood cell count, while platelet distribution width was negatively associated with white blood cell count. Platelet count and plateletcrit were also positively associated with C-reactive protein and D-dimers (P<0.0001). Each of the other variables, although associated with platelet indices in a statistically significant manner, only explained less than 0.5% of their variability. Platelet indices varied across Molise villages, independently of any other platelet count determinant or characteristics of the villages. The association of platelet indices with white blood cell count, C-reactive protein and D-dimers in a general population underline the relation between platelets and inflammation.