OBJECTIVE: To investigate the changes of platelet count (PLT), plateletcrit (PCT), mean platelet volume (MPV) and platelet distribution width (PDW) before and after apheresis platelet transfusion, the correlation between the parameters and their clinical significance. METHODS: A total of 38 patients who received apheresis platelet transfusion were selected, their results of blood routine test closest to the time point of apheresis platelet transfusion were consulted from hospital information system and the changes of PLT, PCT, MPV and PDW were compared before and after transfusion. The correlation between above parameters was analyzed. The correlation of body mass index (BMI) with the increased multiple and increased value after platelet infusion was also analyzed. RESULTS: Compared with pre-infusion, PLT and PCT significantly increased (both P <0.001) while MPV and PDW showed no significant difference after apheresis platelet transfusion (P >0.05). The difference of PLT and PCT before and after apheresis platelet transfusion had no correlation with PLT and PCT before transfusion (r =0.002, r =0.001), while the difference of MPV and PDW was negatively correlated with MPV and PDW before transfusion (r =-0.462, r =-0.610). The PLT growth rate was positively correlated with PCT growth rate before and after apheresis platelet transfusion (r =0.819). BMI was positively correlated with the increased multiple of PLT after infusion (r =0.721), but not with the increased value of PLT after infusion (r =0.374). CONCLUSION Apheresis platelet transfusion can cause platelet parameters change and shows different characteristics. Characteristic changes of platelet parameters and their correlation can be used as reference indices to evaluate the efficacy of apheresis platelet transfusion.
Humans ; Mean Platelet Volume ; Platelet Transfusion ; Blood Platelets ; Platelet Count/methods* ; Blood Component Removal

OBJECTIVE: To study the reference ranges of platelet and related parameters within 24 hours after birth in preterm infants with different gestational ages. METHODS: According to the inclusion and exclusion criteria, a retrospective analysis was performed for the chart review data of 1 070 preterm infants with a gestational age of 23-36 weeks who were admitted to the neonatal intensive care unit from January to December in 2018. The reference ranges of platelet parameters were calculated for the preterm infants within 24 hours after birth. RESULTS: There were no significant differences in platelet count (PLT) and plateletcrit (PCT) among the preterm infants with different gestational ages (P>0.05). The late preterm infants (34-36 weeks; n=667) had significantly lower mean platelet volume (MPV) and platelet distribution width (PDW) than the extremely preterm infants (23-27 weeks; n=36) and the early preterm infants (28-33 weeks; n=367) (P<0.05). There were no significant differences in these platelet parameters between the preterm infants with different sexes (P>0.05). The reference ranges of platelet parameters in preterm infants were calculated based on gestational age. The reference ranges of PLT and PCT were (92-376)×10/L and 0.1%-0.394% respectively, for the preterm infants with a gestational age of 23-36 weeks. The reference ranges of MPV and PDW were 9.208-12.172 fl and 8.390%-16.407% respectively, for the preterm infants with a gestational age of 23-36 weeks; the reference ranges of MPV and PDW were 9.19-11.95 fl and 9.046%-15.116% respectively, for the preterm infants with a gestational age of 34-36 weeks. CONCLUSIONS The MPV and PDW of preterm infants with different gestational age are different within 24 hours after birth, and it is more helpful for clinical practice to formulate the reference range of MPV and PDW according to gestational age.
Blood Platelets ; Gestational Age ; Humans ; Infant, Newborn ; Mean Platelet Volume ; Reference Values ; Retrospective Studies

mean corpuscular hemoglobin concentration (p = 0.029), and mean platelet volume (p = 0.017), significantly increased and the levels of mean corpuscular volume (MCV; p = 0.023), RBC distribution width-coefficient of variation (p = 0.005), platelet distribution width (p = 0.015), and ferritin (p = 0.002) significantly decreased compared to the baseline in group receiving quercetin. Between group analysis revealed that RBC significantly increased (p = 0.025) but, mean corpuscular volume (p = 0.004), mean corpuscular hemoglobin (MCH; p = 0.002), and ferritin (p = 0.013) significantly decreased compared to placebo group. In this work quercetin showed significant effect on RBC, ferritin, MCV, and MCH in intervention group.TRIAL REGISTRATION: Iranian Center for Clinical Trials Identifier: IRCT2016060628299N1]]>
Anemia ; Blood Platelets ; Erythrocyte Indices ; Erythrocytes ; Ferritins ; Hematology ; Humans ; Inflammation ; Liver Diseases ; Mean Platelet Volume ; Non-alcoholic Fatty Liver Disease ; Oxidative Stress ; Pilot Projects ; Public Health ; Quercetin

Objective: The aim of this systematic review and meta-analysis is to determine summary estimates of the diagnostic accuracy of mean platelet volume for the diagnosis of myocardial infarction among adult patients with angina and/or its equivalents in terms of sensitivity, specificity, diagnostic odds ratio, and likelihood ratios. Methodology: The primary search was done through search in electronic databases. Cross-sectional, cohort, and case-control articles studying the diagnostic performance of mean platelet volume in the diagnosis of acute myocardial infarction in adult patients were included in the study. Eligible studies were appraised using well-defined criteria. Results: The overall mean MPV value of those with MI (9.702 fl; 95% CI 9.07 – 10.33) was higher than in those of the non-MI control group (8.85 fl; 95% CI 8.23 – 9.46). Interpretation of the calculated t-value of 2.0827 showed that there was a significant difference in the mean MPV values of those with MI and those of the non-MI controls. The summary sensitivity (Se) and specificity (Sp) for MPV were 0.66 (95% CI; 0.59 - 0.73) and 0.60 (95% CI; 0.43 – 0.75), respectively. The pooled diagnostic odds ratio (DOR) was 2.92 (95% CI; 1.90 – 4.50). The positive likelihood ratio of MPV in the diagnosis of myocardial infarction was 1.65 (95% CI; 1.20 – 22.27), and the negative likelihood ratio was 0.56 (95% CI; 0.50 – 0.64). Conclusion The intended role for MPV in the diagnostic pathway of myocardial infarction would perhaps be best as a triage tool. MPV values can discriminate between those who have MI and those without. For a patient with angina presenting with elevated MPV values, it is 1.65 times more likely that he has MI. It is implied that the decision to treat a patient with angina or its equivalents as a case of MI could be supported by an elevated MPV value.
Mean Platelet Volume ; Myocardial Infarction ; Chest Pain

BACKGROUND: Mean platelet volume (MPV) increases when platelets are activated, and it is known to increase in migraine patients. The aim of this study is to investigate whether there is a difference in MPV or platelet count between migraine patients with (MA) and without aura (MO).METHODS: Migraine patients were recruited from the out-patient department of a hospital between January 2012 and June 2017. Patients were divided into MA and MO groups. Platelet count and MPV were compared between groups, and the frequency of comorbidities such as ischemic stroke and cardiovascular disease, was investigated in both groups.RESULTS: Of the 123 patients, 46 were classified as MA, and 77 were classified as MO. The MPV of the MA group was significantly higher than that of the MO group (8.92±0.17 fL, 6.32±0.28 fL, respectively) (P=0.034). However, platelet count showed no significant difference between groups. Cardiovascular disease and ischemic stroke incidences were significantly higher in the MA group than in the MO group (ischemic stroke: 15.2%, 7.8%, respectively, P=0.027; cardiovascular disease: 10.9%, 6.5%, respectively, P=0.018).CONCLUSION: Mean platelet volume was significantly greater in the MA group than in the MO group. This may be related to the pathophysiological differences between the two conditions.
Cardiovascular Diseases ; Comorbidity ; Epilepsy ; Humans ; Incidence ; Mean Platelet Volume ; Migraine Disorders ; Migraine with Aura ; Migraine without Aura ; Outpatients ; Platelet Activation ; Platelet Count ; Stroke

BACKGROUND: Liver fibrosis evaluation is an important issue in chronic liver disease patients. We aimed to develop noninvasive liver fibrosis biomarkers based on transient elastography (TE, FibroScan®) through retrospective review of clinicopathological data. METHODS: We recruited 278 chronic hepatitis B patients who underwent Fibroscan and HBV DNA testing. A total of 115 HBeAg-positive and 159 HBeAg-negative chronic hepatitis B patients were analyzed. A total of 100 hepatitis C patients were analyzed. Successful fibroscan data, gamma-glutamyl transferase (GGT) to platelet ratio (GPR), platelet count, AST, ALT, international normalized ratio of prothrombin time, total cholesterol, triglycerides, bilirubin, mean platelet volume, AST to platelet ratio index, fibrosis index based on four factors (FIB-4), neutrophil to lymphocyte ratio (NLR), and NLR to platelet ratio were analyzed to determine the new noninvasive markers for assessing liver fibrosis. RESULTS: Elevated GPR (OR=9.1, P=0.011) and FIB-4 (OR=2.3, P=0.01) were associated with greater risk of liver fibrosis in chronic hepatitis B patients. FIB-4 (OR=6.04, P=0.005) was a risk factor for liver fibrosis in HBeAg-positive patients. FIB-4 (OR=2.371, P=0.015) and GPR (OR=33.78, P=0.003) were liver fibrosis risk factor in HBeAg-negative patients. In chronic hepatitis C patients, GGT (OR=1.033, P=0.002), triglyceride (OR=−0.990, P=0.038) and FIB-4 (OR=3.499, P=0.006) showed statistical significances. The AUCs were 0.816 in FIB-4 (P<0.001) and 0.849 in GPR (P<0.001). CONCLUSIONS: FIB-4 and GPR may be useful blood markers for assessing liver fibrosis in chronic hepatitis B and hepatitis C patients. Further well-designed prospective study is required to validate these noninvasive blood markers in clinical practice.
Area Under Curve ; Bilirubin ; Biomarkers ; Blood Platelets ; Cholesterol ; DNA ; Elasticity Imaging Techniques ; Fibrosis ; Hepatitis B ; Hepatitis B, Chronic ; Hepatitis C ; Hepatitis C, Chronic ; Hepatitis ; Hepatitis, Chronic ; Humans ; International Normalized Ratio ; Liver Cirrhosis ; Liver Diseases ; Liver ; Lymphocytes ; Mean Platelet Volume ; Neutrophils ; Platelet Count ; Prospective Studies ; Prothrombin Time ; Retrospective Studies ; Risk Factors ; Transferases ; Triglycerides

No abstract available.
Blood Platelets ; Mean Platelet Volume ; Urticaria

OBJECTIVE: To investigate the changes of mean platelet volume (MPV), platelet distribution width (PDW) and platelet associated antibodies (PAIg) in children with acute immune thrombocytopenic purpura (aITP), and to explore the diagnostic value of MPV, PDW, PAIg and their combination for megakaryocyte dysmaturity in aITP children. METHODS: Plt count, MPV and PDW of 36 aITP children were measured by using Sysmex XN automatic blood cell analyzer, and 33 children with acquired thrombocytopenic purpura (ATP) without megakaryocyte dysmaturity. The expression of PAIg was detected by flow cytometry, and the number and classification of megakaryocytes in the bone marrow were performed by marrow cytology. The diagnostic significances of MPV, PDW, PAIg and their combination as well as the sensitivity and specificity for megakaryocytes dysmaturity in aITP were assessed through calculating the area under ROC curve (AUC), after determining the influence of each parameters on the megakaryocyte dysmaturity by Logistic regression. RESULTS: MPV, PDW and PAIg of aITP children were significantly higher than those of the ATP children (P＜0.05), while the Plt count and number of thromocytogenic megakaryocytes per area (1.5 cm×3 cm) were less than those of the controls (P＜0.05). Count of RBC and WBC, percentages of neutrophil granulocytes and lymphocydes in aITP were similar to those in the controls（P＞0.05）. The results of Logistic regression showed that Plt count, MPV, PDW and PAIg were the factors influencing megakaryocyte dysmaturity in aITP children, and the regression model has a high statistical significance (χ=65.491，P=0.001) and r square (R=0.713). The AUC of the combined detection of Plt count, MPV, PDW and PAIg was 0.863, which was much higher than that of Plt count, MPV, PDW, PAIg individually or in pairs. The sensitivity and specificity of the combined detection were 79.167% and 89.697%, which were higher than those of Plt count, MPV, PDW, PAIg individually or in pairs. CONCLUSION The diagnostic significance of MPV and PDW for megakaryocyte dysmaturity in aITP are insufficient, but the diagnostic efficacy can be improved by combined examination with PAIg.
Antibodies ; Blood Platelets ; Child ; Humans ; Mean Platelet Volume ; Megakaryocytes ; Platelet Count ; Purpura, Thrombocytopenic, Idiopathic ; diagnosis

BackgroundIt is known that there is a definite association between platelet distribution width (PDW) and poor prognosis in patients with coronary artery disease (CAD) and type 2 diabetes mellitus (T2DM). However, there are no data available regarding the prognostic significance of PDW for in-stent restenosis (ISR) in patients with CAD and T2DM. We aimed to determine the value of PDW on admission that predicted ISR in patients with CAD and T2DM.

MethodsBetween January 2012 and December 2013, a total of 5232 consecutive patients diagnosed with CAD and T2DM undergoing percutaneous coronary intervention were admitted. Three years of retrospective follow-up was undertaken. A total of 438 patients with second angiography operations were included. ISR was defined as ≥50% luminal stenosis of the stent or peri-stent segments. Continuous data were presented as the mean ± standard deviation or median (P, P) and were compared by one-way analysis of variance or Kruskal-Wallis H-test. Categorical variables were presented as percentages and were compared by Chi-square test or Fisher's exact test. The association between PDW and ISR was calculated by logistic regression analysis. A two-sided value of P < 0.05 was considered statistically significant. Statistical analyses were performed by SPSS version 22.0 for windows.

ResultsFifty-nine patients with ISR, accounting for 13.5% of the total, were included. ISR was significantly more frequent in patients with higher PDW quartiles compared with lower quartiles. We observed that PDW had a strong relationship with mean platelet volume (r = 0.647, 95% confidence interval [CI]: 0.535-0.750, P < 0.0001). The receiver-operating characteristic curves showed that the PDW cutoff value for predicting ISR rate was 13.65 fl with sensitivity of 59.3% and specificity of 72.4% (area under curve [AUC] = 0.701, 95% CI: 0.625-0.777, P < 0.001). Multivariate analysis showed that the risk of ISR increased approximately 30% when PDW increased one unit (odds ratio [OR]: 1.289, 95% CI: 1.110-1.498, P = 0.001). Patients with higher PDW, defined as more than 13.65 fl, had a 4-fold higher risk of ISR compared with lower PDW (OR: 4.241, 95% CI: 1.879-9.572, P = 0.001). Furthermore, when patients were divided by PDW quartiles values, PDW was able to predict ISR (Q2: OR = 0.762, 95% CI: 0.189-3.062, P = 0.762; Q3: OR = 2.782, 95% CI: 0.865-8.954, P = 0.086; and Q4: OR = 3.849, 95% CI: 1.225-12.097, P = 0.021, respectively; P for trend <0.0001).

ConclusionPDW is an independent predictor of ISR in patients with CAD and T2DM.

Adult ; Aged ; Blood Platelets ; metabolism ; Coronary Artery Disease ; metabolism ; therapy ; Coronary Restenosis ; metabolism ; therapy ; Diabetes Mellitus, Type 2 ; metabolism ; therapy ; Female ; Humans ; Male ; Mean Platelet Volume ; Middle Aged ; Percutaneous Coronary Intervention ; Retrospective Studies

Coronary artery ectasia (CAE) is defined as the dilation of a segment of a coronary vessel to at least 1.5 times the diameter of its normal adjacent segment. Mean platelet volume (MPV) plays a role in acute coronary syndromes, with high MPV correlating to poor prognosis for acute thrombotic events and CAE. Several studies investigated the relationship between MPV and CAE, resulting in conflicting results. These results led us to systematically review all studies investigating the relationship between MPV and ectatic heart diseases by performing a meta-analysis study in order to report a unified result. This meta-analysis study investigated all case-control articles examining the relationship between MPV and CAE. All studies in the following databases published until January 31, 2018, were investigated: Science Direct, Scopus, PubMed, Google Scholar, and Web of Science. Following a quality control evaluation, 14 articles, all of which were published following studies performed in Turkey from 2007 to 2016, met the criteria for study inclusion. After pooling the results from all of the articles, a total standardized mean difference (SMD) value of 0.584 (95% CI, 0.219, 0.95) was obtained using the D+L pooled SMD, indicating a significant difference (P=0.002) between the two groups, with higher MPV values in ectatic patients when comparing to healthy individuals. Therefore, increased MPV levels were significantly related to CAE, suggesting that platelets, with their inflammatory and thrombotic activities, play a role in this disease. Therefore, anti-platelet and anti-inflammatory therapies may be effective in treating CAE.
Acute Coronary Syndrome ; Case-Control Studies ; Coronary Vessels* ; Dilatation, Pathologic* ; Heart Diseases ; Humans ; Mean Platelet Volume* ; Prognosis ; Quality Control ; Turkey