UNASSIGNED: Platelets play a significant role in the innate and adaptive processes of immunity and inflammation. Inflammatory bowel disease (IBD) is an autoimmune disease that is widely understood to be caused by a combination of genetic predisposition, aberrant immune responses, etc.
UNASSIGNED: To examine the relationships between genetically determined platelet indices and IBD, we conducted a Mendelian randomization (MR) study. Data associated with platelet count (PLT), mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (PCT) were used from the UK Biobank. The outcome data, including IBD, Crohn\'s disease (CD), ulcerative colitis (UC), were from the FinnGen database. The inverse variance-weighted (IVW), MR-Egger, weighted median methods were used for MR analyses.
UNASSIGNED: The MR estimations from the IVW approach show a significant connection between PLT and IBD. Similarly, PCT and IBD have a relationship following the IVW and MR-Egger approaches. While PLT and PCT have strong relationships with CD, according to the findings of all three approaches respectively. Nevertheless, PDW was the only relevant indicator of UC. The only significant result was IVW\'s.
UNASSIGNED: Our findings suggest that the fluctuation of platelet indicators is of great significance in the development of IBD. PLT and PCT have a close association with IBD and CD, respectively; PDW only has a connection with UC. Platelets play an important role in the progression of IBD (UC, CD).

Background Diabetic patients exhibit increased platelet activity. Insulin inhibits the activation of platelets. Therefore, a relative or absolute deficiency of insulin would increase platelet reactivity. The younger (larger) platelets are also more metabolically and enzymatically active. If detected early, microvascular complications could alert us regarding the possible macrovascular complications. Thus, the aims and objectives of the present study were to determine platelet indices in patients with type 2 diabetes mellitus with controls (non-diabetics) and to find an association of platelet indices with microvascular complications.  Material & methods In this prospective case-control study conducted from 2021 to 2022 (2 years), a total number of 200 subjects were taken and were divided into two groups of 100 each, cases (I) and controls (II). The cases included patients of diabetes mellitus (DM) of a duration of more than 5 years, which were further divided into two groups of 50 each, IA and IB. Group IA consisted of patients with diabetes mellitus of a duration of more than five years with at least one microvascular complication and group IB was diabetics of more than five years duration without any microvascular complications, which includes diabetic retinopathy, diabetic nephropathy, and diabetic neuropathy. An automated cell counter (Thermo Fisher Scientific, Waltham, MA, US) provided hemoglobin values along with the platelet count and platelet indices, i.e. mean platelet volume (MPV), platelet large cell ratio (P-LCR), and platelet distribution width (PDW). Results The present study consisted of 200 subjects divided into 2 groups of 100 each, cases (I) and controls (II). The average MPV (9.4-12.3 femtolitre) in diabetics was 12.089±1.450 fL as compared to the controls where it was 9.464±1.424 fL with a statistically significant p-value of 0.001. PDW among the cases was 16.868±2.352 fL while in controls, it was 12.753±10.559 fL (p=0.001). The mean P-LCR was 34.975±8.056% among the cases, in comparison to the mean P-LCR among the controls, which was 26.031±7.004 (p=0.001). In this study, the MPV, PDW, and P-LCR were significantly raised in individuals having diabetes with microvascular complications when compared with patients without complications. The mean MPV in diabetics with complications was 12.5960±0.95660 fL and in those without complications was 11.5820±1.67609 fL (with a p-value of P = 2×10-3)which is statistically significant. Similar results were obtained in cases of PDW and P-LCR. The mean PDW in diabetics with complications was 17.1140±2.58228 fL and without complications was 15.6220±2.10532 fL ((with a p-value of P = 2×10-3)). The mean P-LCR in diabetics with microvascular complications was 35.408±3.5490% and without complications was 33.542±4.8694% (with a p-value of P = 3.1×10-3). Conclusion Based on the findings of the present study, there is a statistical correlation between type 2 diabetes and variations in platelet indices, resulting in the associated microvascular complications. Higher MPV, PDW, and P-LCR values suggest that these parameters are more reliable predictors of early vascular complications in individuals with type 2 diabetes mellitus and can be utilized as an easy-to-use, low-cost method. They are a readily available, economical, practical, noninvasive, and simple-to-understand approach for assessing platelet dysfunction, which in turn helps anticipate the existence of microvascular complications.

BACKGROUND: Platelets are pivotal players in the pathophysiology of pre-eclampsia, with observed lower counts in affected individuals compared to normotensive counterparts. Despite advancements, the elusive cause of pre-eclampsia persists, motivating intense global efforts to identify reliable predictors. The currently recommended predictors of pre-eclampsia are not readily available in many resource-limited regions like Nigeria. This cohort study explores the potential of mean platelet volume (MPV) and platelet distribution width (PDW) as predictive markers of early-onset pre-eclampsia. Both platelet indices are components of the full blood count, a widely available routine test in pregnancy.
METHODS: In this prospective cohort study, 648 healthy pregnant women attending antenatal care at Lagos State University Teaching Hospital and General Hospital Ifako-Ijaiye, Lagos, were recruited between 14-18weeks gestational age. Platelet count (PC), MPV and PDW were measured from their venous blood at recruitment. Participants were monitored until 34weeks of gestation, focusing on the occurrence of early-onset preeclampsia as the outcome of interest. Individuals with chronic medical conditions were excluded from the study. Data analysis involved t-test, Chi-Square and Mann-Whitney U tests, with statistical significance set at a confidence level of 95% and p < 0.05. Sensitivity, specificity, and predictive values were determined using receiver operating characteristics (ROC) curves.
RESULTS: The incidence of early-onset pre-eclampsia in the study was 5.9%. Women who later developed pre-eclampsia had higher median MPV and PDW at 14-18weeks (10.8 fl. and 24.8 fl.) compared to normotensive women (8.1 fl. and 13.3 fl.)(p < 0.001). The median PC was lower in pre-eclamptics (190 × 103/µl) compared to normotensives(264 × 103/µl)(p < 0.001). Using Youden\'s test, cut-off values identified: PC < 211.5 × 103/µl, MPV > 9.4 fl., and PDW > 21.3 fl., predicted early-onset pre-eclampsia with 96.6% sensitivity and 65.6% specificity for PC; 79.3% sensitivity and 97.7% specificity for PDW; and 82.8% sensitivity and 96.1% specificity for MPV. Cut-offs of PC < 185 × 103/µl, MPV > 10.7 fl., and PDW > 28.3 fl., predicted severe early-onset pre-eclampsia with 100.0% sensitivity and 90.9% specificity for PC, 100.0% sensitivity and 99.4% specificity for MPV, and 100.0% sensitivity and 99.8% specificity for PDW, with corresponding area under the ROC curves of 0.983, 0.996, and 0.998, respectively.
CONCLUSIONS: The evaluation of MPV and PDW between 14 and 18 weeks of gestation appears to be a reliable predictor of severe early-onset pre-eclampsia.

Previous works have shown that hematological system can be affected by exposure to lead; however, the effects of multiple metals on platelets remain elusive within the population from metal-contaminated areas. Hence, the study enrolled 609 participants, with 396 from a metal-exposed area and 213 from a control area. Platelet count (PLT), mean platelet volume (MPV), thrombocytocrit (PCT), platelet to large cell ratio (P-LCR), and platelet distribution width (PDW) were selected to evaluate platelet function. Stepwise regression and Lasso regression were utilized to identify the most influential metals. Moreover, the generalized linear model (GLM), Bayesian kernel machine regression (BKMR) models, and quantile g-computation were employed to estimate the individual or combined effects associations between 12 urinary metals and platelet indices. The results revealed all metals except vanadium, copper, strontium, and molybdenum were significantly higher in the exposed group. The GLM models indicated that urinary metals, including lead, antimony, and arsenic, exhibited associations with PLT, MPV, P-LCR, and PDW. Quantile g-computation and BKMR demonstrated negative correlations between metal mixtures and MPV as well as PDW. In conclusion, the study highlights the associations between multiple metal exposures and platelet indices, suggesting that elevated levels of the metal mixture may impede platelet activation in the population in metal-contaminated areas.

UNASSIGNED: Platelet indices (PIs) are hematological parameters that indicate the number, morphology, and activation of platelets. Although some clinical trials suggest an association between PIs and the risk of stroke, the lack of robust evidence is attributed to confounding effects and reverse causation.
UNASSIGNED: This study aimed to evaluate the association between PIs and stroke risk through Mendelian randomization (MR) while exploring the mediating effect of blood pressure in this association.
UNASSIGNED: We identified genetic variants associated with PIs, including platelet count (PLT), platelet distribution width (PDW), mean platelet volume (MPV), and platelet crit (PCT), in the UK Biobank (n = 350,474). Relevant genome-wide association studies were utilized to gather summary statistics pertaining to the traits of interest. We primarily used the inverse-variance weighted analysis to obtain estimates for individual causal power.
UNASSIGNED: We observed a positive correlation between genetically predicted increases in PCT levels with the stroke onset [PCT: OR (95%CI) = 1.113(1.047, 1.183), p < 0.001]. However, no significant causal relationship was found between PLT, PDW, and MPV and the risk of stroke [PLT: OR (95%CI) = 1.037(0.979, 1.098), p = 0.221; PDW: OR (95%CI) = 0.973(0.923, 1.024), p = 0.294; MPV: OR (95%CI) = 0.990(0.945, 1.038), p = 0.675]. Multivariable MR analyses and mediation analysis found that the proportion mediated by systolic blood pressure (SBP) is 23.71% [95%CI (10.85-33.31%)] and the proportion mediated by diastolic blood pressure (DBP) is 28.09% [95%CI (12.92-39.63%)].
UNASSIGNED: This large MR study presents evidence for the potential causal relationship between the PCT level and the risk of ischemic stroke, which might be mediated by blood pressure.

Objective. The present study was directed to assess the correlation between leukocyte and platelet indices and microvascular complications in patients with type 2 diabetes mellitus (T2DM). Methods. A prospective cross-sectional study was conducted between January 2020 and May 2021 at a tertiary healthcare center. Sixty T2DM patients, who fulfilled the inclusion and exclusion criteria, were included into the study and divided into 2 groups: T2DM patients with microvascular complications and T2DM patients without vascular complications. Clinical history was taken and examinations (routine complete blood count) were done to obtain platelet indices, neutrophillymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and lymphocyte-monocyte ratio (LMR) were obtained and tabulated. A correlation was statistically analyzed from the obtained data, p value <0.05 was considered to be statistically significant. Results. From the patients with microvascular complications, 18 cases suffered from retinopathy and nephropathy. Majority of the participants suffered from moderate non-proliferative retinopathy. The creatine median and absolute neutrophil count (ANC) were significantly higher in T2DM patients with microvascular complications (p<0.0001 and p<0.0054, respectively) compared to T2DM patients without vascular complications. No significant correlation was found between platelet indices, NLR, PLR with regard to fasting blood sugar, post prandial blood sugar, HbA1C in T2DM patients. Conclusions. Since no significant correlation was found between the different platelet indices and microvascular complications, it is evident that these markers cannot be used as the predictors of microvascular complications in T2DM patients.

Background Unraveling sepsis remains the holy grail of clinical medicine and the commonest cause of in-hospital mortality worldwide. Various newer biomarkers have emerged in recent years that aid in the diagnosis and prognostication of sepsis. However, the widespread use of these is limited by availability, cost, and long turnaround times. Considering the crucial role of hematological parameters in infectious conditions, the present study aimed to evaluate the association of various platelet indices with the severity and outcomes in patients diagnosed with sepsis. Methods This was a single-center, prospective, observational study comprising 100 consecutive patients who fulfilled the selection criteria in the emergency department of a tertiary care hospital from June 2021 to May 2022. All patients underwent history taking, physical examination, and necessary laboratory investigations, including complete blood counts, biochemistry panel, and radiographic and microbiological tests. A detailed assessment of various platelet indices (platelet count, mean platelet volume, and platelet distribution width) was performed, and its association with outcomes was derived. The Sequential Organ Failure Assessment (SOFA) score was recorded for all patients. Results The majority of the study population was male (52%) with a mean age of 48.05±19.27 years. Respiratory infection (38%) was the most common origin of sepsis followed by genitourinary infections in 27%. The mean platelet count on admission was 1.83±1.21 lakhs/mm3. The incidence of thrombocytopenia (<1.5 lakhs/ mm3) in our study sample was 35%. The overall in-hospital mortality of the study group was 30%. Thrombocytopenia was significantly associated with a higher SOFA score (7.4±3 vs. 3.7±1.9, P<0.05), longer hospital stays (10.8±4.6 vs. 7.8±3.9; p<0.05), and mortality (17 vs. 13; p<0.05). The change in platelet count, platelet distribution width, and mean platelet volume from Day 1 to Day 3 also correlated with outcomes. There was a decrease in platelet count among the non-survivors compared to an increase in platelet count among survivors from Day 1 to Day 3 (p<0.05). Similarly, the change in platelet distribution width showed a decreasing trend among the survivors compared to an increasing trend among the non-survivors (p<0.05). The mean platelet volume of non-survivors increased from Day 1 to Day 3 compared to a downward trend among the survivors (p<0.05). Conclusion Septic patients with thrombocytopenia on admission had a higher SOFA score and were associated with worse outcomes. Additionally, platelet indices, such as platelet distribution width and mean platelet volume, serve as important prognostic markers among sepsis patients. Change in these parameters from Day 1 to Day 3 also correlated with outcomes. These indices are simple and affordable, allowing for their serial assessment to aid in the prognosis of sepsis.

BACKGROUND: Platelet indices are blood-based parameters reflecting the activation of platelets. Previous studies have identified an association between platelet indices and blood pressure (BP). However, causal inferences are prone to bias by confounding effects and reverse causation. We performed a Mendelian randomization (MR) study to compare the causal roles between genetically determined platelet indices and BP levels.
METHODS: Single-nucleotide polymorphisms (SNPs) associated with platelet count (PLT), plateletcrit (PCT), mean platelet volume (MPV), platelet distribution width (PDW), and BP at the level of genome-wide significance (p < 5 × 10- 8) in the UK Biobank were used as instrumental variables. In bidirectional univariable MR analyses, inverse variance-weighted (IVW), MR‒Egger, and weighted median methods were used to obtain estimates for individual causal power. In addition, heterogeneity and sensitivity analyses were performed to examine the pleiotropy of effect estimates. Finally, multivariable MR analyses were undertaken to disentangle the comparative effects of four platelet indices on BP.
RESULTS: In the univariable MR analyses, increased levels of PLT and PCT were associated with higher BP, and PDW was associated with higher DBP alone. In the reverse direction, SBP had a minor influence on PLT and PCT. In multivariable MR analysis, PDW and PLT revealed an independent effect, whereas the association for PCT and MPV was insignificant after colinear correction.
CONCLUSIONS: These findings suggest that platelets and BP may affect each other. PDW and PLT are independent platelet indices influencing BP. Increased platelet activation and aggregation may be involved in the pathogenesis of hypertension, which may provide insights into evaluating thromboembolic events in people with high BP. The necessity of initiating antiplatelet therapy among hypertension groups needs further investigation.

BACKGROUND: Pregnancy-related pathological complications (PPCs) increase the risk of postpartum hemorrhage (PPH), Platelet activation and destruction are expected outcomes of PPCs. This study sought to compare the platelet indices of non-pregnant (NP) child-bearing aged women, healthy pregnant (HP) women, and women with PPCs, and investigate the use of these indices in PPH prediction.
METHODS: This retrospective clinical study included 260 NP child-bearing aged women and 119 pregnant women. Of the 119 pregnant patients, 69 had HPs and 50 suffered from PPCs. Further, 50 patients delivered with PPH. We compared the platelet counts (PCs), mean platelet volumes (MPVs), platelet distribution widths (PDWs), plateletcrits (Pcts), MPV ratios (PC/MPV and Pct/MPV), alpha angles (angles), and maximum amplitudes (MAs) of the patients using Sysmex XN10 hematology analyzer and TEG 5000 Hemostasis analyzer system, respectively.
RESULTS: With the exception of PDW, there were significant differences in the platelet parameters of the NP, HP, and PPC patients (P<0.05). The intergroup comparison results showed that the NP patients differed significantly from the HP and PPC patients in terms of age, MA, PC, Pct, and Pct/MPV (P<0.0125). Further, the HP and PPC patients differed significantly in terms of Pct, MPV, PC/MPV, and Pct/MPV (P<0.0125). Additionally, the univariate analysis showed that in the PPC patients, low MPV values were strongly related to PPH [odds ratio (OR) =0.012, P=0.003; OR =0.331, P=0.047].
CONCLUSIONS: Women with PPCs had significantly lower PC, Pct, PC/MPV and Pct/MPV values, but significantly higher MA and MPV values. PPHs were strongly related to PPC and low MPV values. A timely accurate diagnosis and evaluating MPV values may be useful in the prediction of PPH.

UNASSIGNED: Thrombocytopenia may result from mechanisms such as marrow hypoplasia, increased destruction of platelets, and splenic sequestration. The gold standard method for discriminating the causes of thrombocytopenia is bone marrow examination, but it is invasive and expensive. Therefore, an alternative method should be introduced as a first-line diagnostic procedure. Of late, the automated blood cell analyzer has made it possible to assess the cause of thrombocytopenia through various machine-derived parameters, known as platelet indices, which include the mean platelet volume (MPV), platelet distribution width (PDW), and plateletcrit (PCT), which are provided as a part of routine complete blood count.
UNASSIGNED: The objectives of the present study are to study the variation and effectiveness of platelet indices in establishing the etiology of thrombocytopenia.
UNASSIGNED: An observational, prospective, and comparative study was conducted on 134 patients with thrombocytopenia, and 67 cases were taken as the normal group. The study group was classified into two groups: hypo-productive and hyper-destructive. Platelet indices were recorded and compared in the two groups along with the normal group.
UNASSIGNED: The mean platelet count (10^3 μL) in the normal, hypo-productive, and hyper-destructive groups was 232.03 ± 74.84, 73.00 ± 36.52, and 68.28 ± 38.24, respectively. The MPV and mean PCT in the normal, hypo-productive, and hyper-destructive groups were 9.46 ± 1.68fL, 8.99 ± 1.49fL, and 11.35 ± 1.35fL and 0.22 ± 0.06%, 0.07 ± 0.04%, and 0.08 ± 0.05%, respectively. The mean PDW in the normal, hypo-productive, and hyper-destructive groups was 15.66 ± 1.76fL, 17.63 ± 1.01fL, and 18.32 ± 1.10fL, respectively.
UNASSIGNED: In the present study, platelet indices such as MPV, PCT, and PDW are higher in the hyper-destructive group and may discriminate hyper-destructive from hypo-productive causes of thrombocytopenia.