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: 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: Tumor microenvironment plays an important role in cancer progression. Platelets are one of the components of the tumor environment shown to have a role in cancer survival and progression.
UNASSIGNED: Ninety-six cases of squamous cell carcinoma (SCC) cases of the oral cavity and 96 age/sex-matched healthy controls were considered for the study. Data regarding platelet count, platelet distribution width (PDW), mean platelet volume (MPV), Platelet-Large Cell Ratio (P-LCR), Plateletcrit (PCT), platelet/neutrophil ratio (PNR), platelet/lymphocyte ratio (PLR), and Platelet/Monocyte Ratio (PNR) from automated hematology analyzer records and clinicopathological data from the Department of Pathology were captured. These data were compared between cases and controls and also with tumor size, tumor grade, lymph node status, and tumour node metastasis (TNM) stage of cases.
UNASSIGNED: Mean ± standard deviation for platelet count, PDW, MPV, P-LCR, PCT, PNR, PLR and PMR among cases were 315.03 ± 98.26, 10.94 ± 1.66, 9.91 ± 0.77, 23.52 ± 5.64, 0.31 ± 0.086, 62.55 ± 31.51, 149.34 ± 61.32, and 498.67 ± 194.91, respectively, and among controls were 287.88 ± 74.11, 10.84 ± 1.18, 9.89 ± 0.72, 23.45 ± 4.55, 0.29 ± 0.061, 60.27 ± 21.02, 138.71 ± 49.28, and 497.64 ± 172.28, respectively. The association between means of platelet count, PDW, P-LCR, and PCT among cases and controls were statistically significant (P = 0.020, 0.006, 0.030, and 0.000, respectively). No statistically significant association was found between means of platelet count, PDW, MPV, P-LCR, PCT, PNR, PLR, and PMR versus tumor size, lymph node status, and tumor grades. The association between the means of PCT/PMR and TNM Stages I and II were statistically significant (P = 0.029 and 0.016, respectively).
UNASSIGNED: Platelet count, morphology, and functions are altered in oral SCC. Platelet activation plays an important role in oral cancer. PCT and PMR can be used to predict the progress of oral SCC as a cost-effective inflammatory marker.

BACKGROUND: Thrombocytopenia has been shown to predict mortality. We hypothesize that platelet indices may be more useful prognostic indicators. Our study subjects were children one month to 14 years old admitted to our hospital.
OBJECTIVE: To determine whether platelet count, plateletcrit (PCT), mean platelet volume (MPV) and platelet distribution width (PDW) and their ratios can predict mortality in hospitalised children.
METHODS: Children who died during hospital stay were the cases. Controls were age matched children admitted contemporaneously. The first blood sample after admission was used for analysis. Receiver operating characteristic (ROC) curve was used to identify the best threshold for measured variables and the ratios studied. Multiple regression analysis was done to identify independent predictors of mortality.
RESULTS: Forty cases and forty controls were studied. Platelet count, PCT and the ratios of MPV/Platelet count, MPV/PCT, PDW/Platelet count, PDW/PCT and MPV × PDW/Platelet count × PCT were significantly different among children who survived compared to those who died. On multiple regression analysis the ratio of MPV/PCT, PDW/Platelet count and MPV/Platelet count were risk factors for mortality with an odds ratio of 4.31(95% CI, 1.69-10.99), 3.86 (95% CI, 1.53-9.75), 3.45 (95% CI, 1.38-8.64) respectively. In 67% of the patients who died MPV/PCT ratio was above 41.8 and PDW/Platelet count was above 3.86. In 65% of patients who died MPV/Platelet count was above 3.45.
CONCLUSIONS: The MPV/PCT, PDW/Platelet count and MPV/Platelet count, in the first sample after admission in this case control study were predictors of mortality and could predict 65% to 67% of deaths accurately.

Despite medical advances, rising awareness, and satisfactory care facilities, placenta previa (PP) remains a challenging clinical entity due to the risk of excessive obstetric hemorrhage. Etiological concerns gave way to life-saving concerns about the prediction of maternal outcomes due to hemorrhage. Our study aimed to detect an early predictive marker of placenta previa.
Ninety-three pregnant patients diagnosed with PP and 247 controls were recruited for this retro-spective study. Platelet and leukocyte indices were compared between the two groups.
The groups were similar with regard to age distribution (31.2 ± 5.1 years [mean ± SD] in the PP group and 31.7 ± 4.2 years in controls), body mass index (BMI) (27.7 ± 3.6 kg/m2 in the PP group and 27.4 ± 4.6 kg/m2 in controls), and most characteristics of the obstetric history. Total leukocyte count, neutrophil count, and neutrophil-to-lymphocyte ratio were significantly higher in the PP group. Mean platelet volume (MPV) and large platelet cell ratio (P-LCR) values were significantly lower in the PP group as compared to controls, with regard to third trimester values. However, patients who were diagnosed postnatally with placenta percreta had lower MPV and P-LCR values than other patients with PP. There were no statistically significant differences between the two groups as far as first trimester values were concerned.
Platelet and leukocyte indices in the third trimester of pregnancy may be valuable predictors of placenta previa and placenta percreta. More comprehensive studies are needed to address this issue.