Can platelet activation markers predict preeclampsia and/or its severity?

Objective To observe the correlation between platelet parameters, platelet activation marker and carotid intima-media thickness (CIMT) in patients with type 2 diabetes mellitus. Methods One hundred and ninety-five type 2 diabetic patients were enrolled in the study.The patients were divided into normal group, CIMT increased group and clot group according to the carotid intima-media thickness. The levels of platelet count(PLT), mean platelet volume(MPV), platelet distribution width(PDW), platelet hematocrit(PCT), urinary 11-dehydro-thromboxane B2 (11-DH-TXB2) and other clinical, biochemical characteristics were measured. The results were statistically analyzed. Results ①The levels of serum LDL-C, MPV, PDW, urinary 11-DH-TXB2 and clinical course in the clot group were higher than those in the CIMT increased group and normal group(P<0.05). ②Compared with normal group, clinical course, serum LDL-C, MPV, PDW and urinary 11-DH-TXB2 were higher in the CIMT increased group(P<0.05). ③With spearman rank correlation test, carotid intima-media thickness was positively associated with age, course, BMI, GLU, GHbA1c, LDL-C, MPV, PDW and urinary 11-DH-TXB2, whereas carotid intima-media thickness was negative associated with HDL-C, PLT(all P<0.05). ④ MPV, PDW and urinary 11-DH-TXB2 were shown as the independent risk factors of CIMT on Logistic regression analysis. Conclusions Platelet activation marker and platelet parameters are associated with carotid intima-media thickness in patients with type 2 diabetes mellitus. Key words: Platelet parameters; Urinary 11-dehydro-thromboxane B2; Type 2 diabetes mellitus; Carotid intima-media thickness

Decreased mean platelet volume and platelet distribution width are associated with mild cognitive impairment and Alzheimer's disease

BACKGROUND: Platelet (PLT) counts (PCs) underwent various changes during pregnancy that occur due to hormonal profiles. A reduction in PC is the major event that occurs in PLT disorder during pregnancy. The common laboratory and clinical findings of these disorders make the diagnosis challenging.OBJECTIVES: The study aimed to evaluate the effect of pregnancy on PLT indices among healthy pregnant ladies.METHODS: A case–control hospital-based study was carried out from February 2020 to February 2021 on 150 participants, 100 of them were healthy pregnant Sudanese ladies at different trimesters (36 pregnant in 1st trimester, 33 pregnant in 2nd trimester, and 31 pregnant in 3rd trimester). The control group included 50 healthy nonpregnant Sudanese ladies matched according to age and body mass index. A structured questionnaire was used covering data about demographic history, trimetric period, number of pregnancies, and parity. Five milliliters of blood samples was obtained for the measurement of PLT indices using Sysmex KX-21 automated hematology analyzer. Data were analyzed using the SPSS computer programs version 2S. Independent sample t-test was used to compare the PLT indices between the healthy pregnant and nonpregnant (control). P ≤ 0.05 is considered statistically significant.RESULTS: The mean of participant's age was found to be 25 years (range of 18–45 years) and all of the participants were within the reproductive age. In all pregnant groups, the mean of PCs, mean PLT volume (MPV), and PLT distribution width (PDW) were found to be 284.3 ± 71.7 × 103/μL, 8.8 ± 1.0 fL, and 13.7 ± 2.5, respectively. While in control groups, the mean of PCs, PMV, and PDW was found to be 218 ± 14.4 × 103/μL, 10.3 ± 3.2 fL, and 11.5 ± 2.5, respectively. The MPV was not significantly changed during pregnancy (P = 0.774). However, the changes in the PC and PDW between the pregnant and nonpregnant (control) group were significant with a P = 0.020 and 0.007, respectively. In the course of pregnancy, the PC in the first, second, and third trimesters was found to be 312 ± 78.3 × 103/μL, 268 ± 62.5 × 103/μL, and 273 ± 65.8 × 103/μL with only statistically significant change between the 1st and 2nd trimesters of pregnancy (P = 0.027). The MPV in the first, second, and third trimesters was found to be 8.7 ± 0.92 fL, 8.9 ± 1.1 fL, and 8.8 ± 1.0 fL, with no statistically significant change during the course of pregnancy. The PDW in the first, second, and third trimesters was found to be 12.8 ± 2.6, 13.7 ± 2.5, and 15 ± 1.8 with only statistically significant change between the 1st and 3rd trimesters of pregnancy (P = 0.001).CONCLUSION: The PC and PDW increase significantly during pregnancy in comparison to the control group. PC has the highest reading in the first trimester, and the PDW has the highest reading in the third trimester in comparison to the other trimesters. On the other hand, the MPV is nonsignificantly decreased throughout the three trimesters of pregnancy in comparison to the general population. These new values, which are most likely due to the hormonal profile of pregnancy, should be taken into consideration.

Sepsis is still one of the leading causes of mortality and morbidity in children worldwide. Consumptive coagulopathy and suppression of thrombopoiesis in the bone marrow resulting from immune dysregulation are pathological mechanisms that cause thrombocytopenia in sepsis. Platelet count (PLT) and indices, such as mean platelet volume (MPV), platelet distribution width (PDW), and plateletcrit (PCT) are markers of platelet activation and are strongly influenced by platelet morphology and proliferation kinetics. We aimed to study the use of platelet count and indices as predictors of mortality in children with sepsis. This is a cross-sectional study of 45 children diagnosed with sepsis on admission at Haji Adam Malik Hospital, Medan, North Sumatra, Indonesia, between October and November 2022. Blood samples were drawn upon admission, and platelet count and indices were then determined for all children. Subjects were followed up till discharge from hospital or death. Receiver Operating Characteristic (ROC) curve analysis of platelet parameters was done to determine the area under the curve (AUC), optimal cut-off value, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) in predicting mortality in children with sepsis. Using the cut-off values from ROC curve analysis, the odds ratio with 95% confidence interval was calculated using multiple logistic regression analyses. A P value less than 0.05 was considered statistically significant. MPV, PDW, and PDW/PLT were significantly higher in non-survivors than survivors (P=0.04, P=0.02, and P=0.04, respectively). ROC curve analysis showed that PDW had the largest AUC (0.708 [95% CI=0.549-0.866]) with a cut-off value of 14.1%, sensitivity of 63.6%, and specificity of 82.6%. PDW was also the only parameter that significantly affected the outcome of children with sepsis. PDW≥14.1% at admission increases the risk of mortality by 5.7 times. Admission PDW is a fast and specific tool to predict the outcome of children with sepsis.

The Comparison of Platelet Parameters in Patients with Thrombocytopenia Associated with Acute Myeloid Leukemia and Immune Thrombocytopenia

Purpose To evaluate platelet parameters in primary open-angle glaucoma (POAG) patients and to explore the association between platelet parameters and POAG severity. Methods A total of 402 consecutive POAG patients and 408 healthy control subjects from the Department of Ophthalmology and Visual Science, Eye and ENT Hospital, Fudan University, were consecutively recruited between January 2016 and October 2018. Detailed ophthalmological and systematic examinations were performed. Blood samples for platelet parameters, including platelet count (PLT), platelet distribution width (PDW), plateletcrit (PCT), mean platelet volume (MPV), and platelet large cell ratio (P-LCR), were analyzed using an automated hematology analyzer in the department of clinical laboratory science of the hospital. The POAG subgroups were classified according to age (<50, ≥50), gender, and visual field mean deviation (MD): mild (MD ≤ 6 dB), moderate (6 dB < MD ≤ 12 dB), and severe (MD > 12 dB). Results In POAG patients, PLT counts (207.08 ± 54.70 ∗ 109/L) were significantly lower (p=0.001) than those of the control group (220.46 ± 55.85 ∗ 109/L). In the POAG group, PDW (13.76 ± 3.16 fL) and MPV (10.46 ± 1.32 fL) values were significantly higher (all p < 0.001) than those of the control group (PDW 11.82 ± 2.44 fL, MPV 10.13 ± 1.10 fL). PDW and MPV values were highest in the severe POAG group (PDW 14.49 ± 2.99 fL; MPV 10.74 ± 1.39 fL), followed by the moderate group (PDW 12.50 ± 3.14 fL; MPV 10.02 ± 1.08 fL) and then the mild group (PDW 11.82 ± 2.44 fL; MPV 9.92 ± 0.76 fL), with statistically significant differences observed between mild-severe POAG and moderate-severe POAG groups by LSD post hoc test. Multiple linear regression analyses showed a significant association between PDW and MD (β = 0.430, p < 0.001) and MPV and MD (β = 0.363, p=0.001). Logistic regression analyses revealed that PDW (OR = 1.297, 95% CI = 1.011–1.663) was associated with the severity of POAG. Conclusions PDW and MPV values were significantly elevated in POAG patients, and PDW was positively associated with disease severity, which suggested the possibility that platelet activation be involved in pathomechanisms of POAG.

Increased cardiovascular risk has been associated with certain platelet morphological parameters, and several single nucleotide polymorphisms (SNPs) have been reported to be linked. Still, little is known about their role among children with type 1 diabetes mellitus (T1DM). So, we aimed to investigate platelet parameters and lipid profile changes in relation to rs7961894 SNP in children with T1DM. Eighty children with T1DM and eighty apparently healthy controls participated in this cross-sectional study. Platelet count, mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (PCT), HbA1c, triglycerides, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol were measured, and atherogenic indices were calculated. Using a real-time polymerase chain allelic discrimination technique, rs7961894 SNP was genotyped. Children with T1DM had significantly higher MPV, PDW, TC, and LDL-C compared to controls. 25% of patients had rs7961894 CT genotype with significantly higher MPV, PDW, PCT, LDL-C, triglycerides, Castelli’s risk index II (CRI II), and atherogenic index of plasma (AIP) compared to CC genotyped patients. MPV correlated significantly with CRI II and AIP, PDW with CRI II, while PCT correlated substantially with HbA1c, LDL-C, CRI II, and AIP. rs7961894 CT genotype was a significant dependent predictor of the changes in MPV, PDW, and PCT in multivariate regression analysis.Conclusion: In children with T1DM, rs7961894 CT genotype is significantly linked to MPV, PDW, and PCT changes, which showed a substantial relationship to CRI II and AIP, highlighting the importance of monitoring these patients to identify potential cardiovascular risks early.What is Known:• Platelets and dyslipidemia are involved in atherosclerosis pathogenesis• Changes in platelet activity and morphological parameters in diabetes mellitus are contradictory• rs7961894 single nucleotide polymorphism is associated with significant changes in mean platelet volume (MPV) with no available data in childrenWhat is New:• Children with type 1 diabetes mellitus exhibited significantly higher values of MPV and platelet distribution width (PDW)• rs7961894 CT genotype was a dependent predictor of the changes in MPV, PDW, and plateletcrit (PCT) values• Diabetic children with the rs7961894 CT genotype showed substantial alterations in lipid parameters with a strong correlation between MPV, PDW, and PCT and Castelli’s risk index II and the atherogenic index of plasma

The aim of this study to evaluate relationship between thrombocyte indices, Red cell distribution width (RDW) and gestational hypertensive disorders. This study is a retrospective cross sectional study performed between 2009 - 2019.Total 583 pregnant women were included in this study; 123 severe preeclampsia (PE), 175 mild-PE, 73 gestational hypertension (GH), 41 chronic hypertension and 171 healthy pregnant women (control group). Statistical Package for Social Science version 23.0 is used for statistical analysis. Kolmogorov-Smirnov, Anova, Kruskal-Wallis and Mann Whitney U tests are used for interpretation of data. Statistical significance is considered if p < 0.05. Mean age and number of pregancies were indifferent among five groups. Mean Platelet Volume (MPV) was significantly higher in severe-PE group (p<0.001) and insignificantly different among mild-PE, GH, chronic hypertension and control groups (p=0.116) . Platelet count (PC) was found significantly lower in severe-PE group (p=0.01) and found indifferent among mild-PE, GH, chronic hypertension and control groups (p=0.110). RDW was found significantly higher in severe-PE group than other groups (p=0.01)and significantly higher in mild-PE group than GH, chronic hypertension and control groups (p=0.01) but insignificantly different among GH, chronic hypertension and control groups (p=0.501). Platelet distribution width (PDW) was found significantly lower in control group than other groups (p<0.001) and found indifferent among mild-PE, GH, chronic hypertension and severe-PE groups (p=0.621). Neutrophil lymphocyte ratio (NLR), hemoglobin, Plateletcrit and Platelet lymphocyte ratio (PLR) were found unchanged among the groups. MPV, RDW, PDW, NLR, PC, Plateletcrit and PLR were indifferent among GH and chronic hypertension groups. MPV and RDW were found higher and PC was found lower in severe-PE. RDW levels elevation was found higher in accordance with the severity of preeclampsia. PDW was found higher in gestational hypertensive disorders than healthy pregnant women.

BACKGROUNDIndices such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), mean platelet volume (MPV), platelet distribution width (PDW), and red cell distribution width (RDW) are considered new markers of the systemic inflammatory response (SIR), and have been widely implemented for the diagnosis of patients with inflammatory diseases. These new indicators have also been widely investigated in preeclampsia (PE) but less analyzed in hemolysis, elevated liver enzymes, and low platelet (HELLP) syndrome.AIMTo compare SIR markers among HELLP patients, PE only patients, and healthy gravidae.METHODSThis retrospective case-control study enrolled 630 cases, including 210 patients with HELLP syndrome (HELLP group), 210 patients with only PE (PE group) and 210 healthy gravidae (control group). The three groups were matched by age, parity, status of assisted reproduction, and multiple pregnancies. Birthweight, gestational age at complete blood count collection, gestational age at delivery, mode of delivery, etc. were recorded. The main indices as NLR, PLR, MPV, PDW, and RDW among the groups were compared, as well as some secondary outcomes including neutrophil, platelets, and hemoglobin.RESULTSThe NLR (6.4 vs 4.3 vs 3.5), MPV (11.9 vs 11.2 vs 10.7), PDW (16.4 vs 13.3 vs 14.2), leukocyte (12.4 × 109/L vs 9.7 × 109/L vs 8.7 × 109/L) and neutrophil count (9.9 × 109/L vs 7.3 × 109/L vs 6.1 × 109/L) were highest in the HELLP group, lower in the PE group, and lowest in the control group. Both the overall comparisons between the three groups (all bP < 0.01) and pairwise comparisons between every two groups elicited statistically significant differences (all dP < 0.01, except control vs PE: cP < 0.05 in PDW). The average lymphocyte counts were 1.4 (1.1, 2.0) × 109/L in the HELLP group, 1.6 (1.3, 2.0) × 109/L in the PE group and 1.7 (1.4, 2.0) × 109/L in the control group. The overall comparison of lymphocyte count within the three groups had statistically significant differences (P = 0.000). The pairwise comparisons between every two groups demonstrated that the HELLP group had a lower lymphocyte count than both the PE (P = 0.019) and control groups (P = 0.000), but the difference between the PE and control groups was not statistically significant (P = 0.432). The overall comparisons on platelet counts and the PLR among these three groups also showed statistically significant differences (both P = 0.000), from low to high being those in the HELLP group (43.4 × 109/L, 64.0), control group (180.5 × 109/L, 103.6) and PE group (181.5 × 109/L, 112.8). Pairwise comparisons of neither index displayed statistically significant differences between the PE and control groups (both P > 0.05), while the differences in the two indices between the HELLP group and the two other groups were still statistically significant (all P = 0.000). RDW values were highest in the HELLP group (14.5% [13.6, 15.3]), lower in the control group (14.1% [13.5, 14.8]) and lowest in the PE group (13.9% [13.4, 14.9]). The difference between the PE and control group did not show statistical significance (P = 1.000), while RDW values in the HELLP group were higher than those in the other two groups (cP < 0.05 vs control, dP < 0.01 vs PE).CONCLUSIONSIR markers such as NLR, RDW, MPV, and PDW were increased and PLR was decreased in HELLP. These SIR markers may become new indicators in the evaluation of HELLP syndrome.

Background:Lung cancer is the leading cause of cancer death. Platelet-related indictors, including platelet count, plateletcrit, mean platelet volume, and platelet distribution width, not only associate with morphology and functions of platelet but also correlate with tumor development and metastasis. In the present study, we investigated the values of platelet-related indictors in the prognosis evaluation of resectable lung cancers.Methods:In total, 101 patients with resectable lung cancer were recruited in this study. Patients were divided into 2 groups according to the median pretreatment values. To evaluate the individual value changes after treatment, we introduced the concept of post-/pretreatment ratio (≤1 indicated value was not increased after treatment, while >1 suggested increased value).Results:The high pretreatment platelet count level was correlated with larger tumor size. High pretreatment plateletcrit level was associated with more lymph nodes metastasis. Patients with high pretreatment plateletcrit level had worse overall survival, whereas pretreatment platelet count, mean platelet volume, and platelet distribution width levels were not correlated with outcomes. Surgery had no impact on the values of platelet count, plateletcrit, mean platelet volume, or platelet distribution width. Adjuvant chemotherapy significantly decreased the values of platelet count and plateletcrit, whereas it had no effect on the values of mean platelet volume or platelet distribution width. Whole course of treatment (surgery combined with adjuvant chemotherapy) significantly decreased the values of platelet count and platelet distribution width, whereas it had no effect on the values of plateletcrit or mean platelet volume. Post-/pretreatment platelet count, plateletcrit, mean platelet volume, and platelet distribution width ratios were not correlated with outcomes. Univariate analyses demonstrated that American Joint Committee on Cancer stage and pretreatment plateletcrit level were significant risk factors for prognosis. Cox regression analysis revealed that no factor independently associated with worse survival.Conclusion:Pretreatment plateletcrit level could be a potential prognostic factor in resectable lung cancers.

In clinical practice it is very important to perform the platelet counts. The estimation of platelet counts from peripheral blood smears is an accurate method and provides adequate quality assurance in traditional methods as the automated cell counters are not available at all hospital setups especially in rural areas. In modern era use of automated analyzers based on impedance technology has resulted in improvement of accuracy and helps in measurement of platelet indices such as Mean Platelet Volume (MPV) Plateletcrit (PCT) and Platelet Distribution Width (PDW). However, both the methods have certain limitations. Platelet counts were estimated on a 5-part Differential Automated Hematology Analyzer and manually on Leishman stained peripheral blood SMEAR.&#x0D; Aims &amp; Objective: 1. This study was conducted to compare platelet counts by peripheral blood smear method and automated method in patients attending OPD on routine basis in a mountainous hilly region of J&amp;k .&#x0D; &#x0D; It also aims to study the relation, if any, between the platelet count (automated) and platelet indices like Mean Platelet Volume (MPV) and Platelet Distribution Width (PDW) and to assess the possible role of these parameters in certain defined situations.&#x0D; &#x0D; Materials and methods: A prospective study was conducted in a tertiary care hospital on 200 Ethylene Diamine Tetra Acetic acid (EDTA) anticoagulated blood samples. Samples were evaluated by 5-Part differential automated hematology analyser using impedance counting method and by examination of peripheral blood smear method (PBF).&#x0D; Results: In thrombocytopenic patients, the platelet count assessed by automated analyzer revealed an inverse relation with Mean Platelet Volume (MPV) and Platelet Distribution Width (PDW) and showed large granular and giant platelets on PBS.&#x0D; Conclusion: Automated hematology analyzer is essential for immediate and accurate complete blood count evaluation but blood samples showing erroneous results or low platelet counts on analyzer should be confirmed on peripheral blood smear. The platelet indices like Mean Platelet Volume (MPV) and Platelet Distribution Width (PDW) can point to the underlying pathology especially in cases of thrombocytopenia.&#x0D; Keywords: Automated analyser, Peripheral blood smear, MPV, PDW, large granular platelets.

Platelets are large when young and immature and shrink as they age. The mean platelet volume (MPV) and platelet distribution width (PDW) reflect the volume and distribution of platelets, respectively. We compared the MPVs and PDWs of patients with immune thrombocytopenic purpura (ITP) or essential thrombocythemia (ET) to those of healthy individuals to test whether these values can reflect the pathomechanisms of these diseases. Platelet counts, MPVs, and PDWs were measured in 153 healthy individuals and in 20 and 34 patients with ITP and ET, respectively, using an XN-3000 instrument. The MPVs and PDWs were significantly higher in ITP patients than in healthy individuals or ET patients. The MPVs were significantly lower in ET patients than in both ITP patients and healthy individuals; however, the PDWs in ET patients were similar to those in healthy individuals. The MPVs and PDWs did not correlate with platelet count in ITP or ET patients. Our data suggested an increased production of young, large platelets and nondiscriminatory destruction of circulating platelets irrespective of their ages in ITP. Decreased MPVs and unelevated PDWs in ET suggest that clonal process-produced platelets remain small throughout their lifespans.

Background: Pre-eclampsia is a life-threatening disorder that develops after 20 weeks of gestation and is a major cause of maternal morbidity and mortality worldwide. Platelet activation plays a crucial role in its pathogenesis, contributing to end-organ damage. Platelet parameters such as platelet count, mean platelet volume (MPV), platelet distribution width (PDW), and plateletcrit (PCT) are indirect markers of platelet activation and can be evaluated during routine hematological analysis. Aims and Objectives: This study aimed to evaluate and compare platelet parameters (platelet count, MPV, PDW, and PCT) in women with pre-eclampsia and normotensive pregnant women, establishing their role in diagnosing and predicting pre-eclampsia. Variations in these parameters in patients with and without severe features were also analyzed. Materials and Methods: A prospective cross-sectional study was conducted between August 2022 and February 2024, involving 120 pre-eclamptic and 120 normotensive pregnant women. Platelet parameters were analyzed, and statistical tests such as Mann-Whitney, Independent t-test, Chi-square, and Fisher’s exact test were applied. The receiver operating characteristic (ROC) curve analysis evaluated the predictive value of platelet parameters in pre-eclampsia. Results: Pre-eclamptic women showed significantly higher MPV (12.73±2.19 fL vs. 11.98±1.78 fL, P=0.004) and PDW (20.35±2.98% vs. 16.02±0.87%, P&lt;0.0001) compared to normotensive women. Platelet count (141.3±42.47×103/μL vs. 174.32±27.24×103/μL, P&lt;0.0001) and PCT (0.17±0.04% vs. 0.22±0.04%, P&lt;0.0001) were significantly reduced. Among 19 pre-eclamptic women with severe features, platelet count and PCT were further decreased, whereas MPV and PDW increased. ROC curve analysis revealed significant discriminatory power for all platelet parameters. PDW had the highest predictive accuracy (area under the curve [AUC] 0.965; 95% confidence interval [CI]: 0.946–0.984) with a sensitivity of 83.33% and specificity of 97.50% at a cut-off value &gt;17.4%. PCT (AUC 0.838; 95% CI: 0.783–0.893) and platelet count (AUC 0.779; 95% CI: 0.719–0.839) also showed notable predictive ability. Conclusion: Platelet parameters are significantly altered in pre-eclampsia and serve as reliable, cost-effective biomarkers for diagnosis, monitoring, and assessing severity, particularly in resource-limited settings.

Mitral annular calcification (MAC) is associated with several cardiovascular disorders including coronary artery disease (CAD), atherosclerosis, heart failure, and stroke. MAC and atherosclerosis share similar clinical risk factors for cardiovascular diseases, including age, obesity, hypertension, hyperlipidemia, and diabetes mellitus. The aim of this study was to assess the mean platelet volume (MPV), an indicator of platelet activation in patients with MAC. The study group consisted of 101 patients with MAC. An age, sex, and BMI matched control group was composed of 55 patients who were admitted to the echocardiography laboratory due to suspicion of organic heart disease and eventually found to be free of MAC. We measured platelet indices values in patients and controls. MPV was significantly higher in patients with MAC than in controls (8.9 ± 0.8 versus 8.0 ± 0.9 fl, respectively; P < 0.001) and platelet distribution width (PDW) was significantly higher in patients with MAC than in controls (15.8 ± 1.3 versus 15.0 ± 1.3%, respectively; P < 0.001). MPV was positively correlated with MAC (P < 0.001, r = 0.47), atrial fibrillation (P = 0.01, r = 0.19), left atrial (P = 0.02, r = 0.83) and negatively correlated with platelet count (P = 0.01, r = -0.20). MPV [odds ratio (OR) 3.89; 95% confidence interval (CI) 1.97-7.67; P < 0.0001], and PDW (OR 2.27; 95% CI 1.45-3.55; P < 0.0001) were independently associated with the MAC. We have shown that MPV and PDW were significantly elevated in patients with MAC. MPV was correlated with MAC, atrial fibrillation and left atrial and negatively correlated with platelet count. MPV and PDW were independently associated with MAC.

Mean platelet volume (MPV) and Platelet distribution width (PDW) are potential markers in platelet activation. In present study, we aimed to evaluate MPV and PDW as potential severity markers for those patients who are complaining erectile dysfunction (ED). A total of 358 participants were enrolled in this study. The whole cohort was asked to complete the International Index of Erectile Function-5 (IIEF-5) questionnaire. The participants were classified into 3 groups: control group (n=120), mild ED (n=118) and severe ED (n=120). We found in our cohort MPV and PDW were significantly higher in both mild ED group and severe ED group than control group (9.24±0.70 and 9.71±0.80 versus 8.56±0.62 for MPV; 14.48±1.29 and 14.98±1.60 versus 12.86±1.13 for PDW respectively). The MPV and PDW increased as the disease progressed. In the mild and severe ED groups, a significant inverse correlation was detected between the mean values of IIEF-5 score and PDW. Furthermore, in the receiver operating characteristic curve analysis, the area under the curve of the MPV and PDW to predict severe ED was 0.818 and 0.848 respectively. Our study establishes a dose-dependent association between the PDW and ED. Therefore, the PDW can serve as a potential marker for predicting the severity of ED.