scholarly journals Platelet distribution width, mean platelet volume and haematological parameters in patients with uncomplicated plasmodium falciparum and P. vivax malaria

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 865 ◽  
Author(s):  
Elrazi A. Ali ◽  
Tajeldin M. Abdalla ◽  
Ishag Adam
Keyword(s):  
Plasmodium Falciparum ◽  
Mean Platelet Volume ◽  
Malaria Infection ◽  
Haematological Parameters ◽  
Published Data ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Distribution Width ◽  
Significant Difference ◽  
Haematological Profile

Background: The association between the haematological profile (including abnormal platelets) and malaria is not completely understood. There are few published data on haematological profiles of malaria patients in areas with unstable malaria transmission. The current study was conducted to investigate if the haematological parameters, including platelet indices, were reliable predictors for microscopically-diagnosed malaria infection. Methods: A case-control study with a total of 324 participants (162 in each arm) was conducted at the out-patient clinic of New Halfa hospital during the rainy and post rainy season (August 2014 through to January 2015). The cases were patients with uncomplicated Plasmodium falciparum (107; 66.9%) and P. vivax malaria (55, 34.0%) infections. The controls were aparasitemic individuals. The haematological parameters were investigated using an automated hemo-analyser. Results: There was no significant difference in the mean (±SD) age between the study groups; however, compared to the controls, patients with uncomplicated malaria had significantly lower haemoglobin, leucocyte and platelet counts, and significantly higher red cell distribution width (RDW), platelet distribution width (PDW) and mean platelet volume (MPV). Conclusions: The study revealed that among the haematological indices, PDW and MPV were the main predictors for uncomplicated P. falciparum and P. vivax malaria infection. Abbreviations: OR: odds ratio.

scholarly journals Association of platelet count and platelet indices with cranial meningioma

2020 ◽  
pp. 123-126
Author(s):  
Yasar Karatas ◽  
Fatih Keskin ◽  
Mehmet Fatih Erdi ◽  
Bulent Kaya ◽  
Densel Arac ◽  
...  
Keyword(s):  
Platelet Count ◽  
Mean Platelet Volume ◽  
Small Sample ◽  
Control Group ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Distribution Width ◽  
Healthy Group ◽  
Platelet Indices ◽  
Significant Difference

Introduction and Objectives: In this study, we aimed to investigate whether platelet count (PLT) and platelet indices included mean platelet volume (MPV), platecrit (PCT), platelet distribution width  (PDW) values can be used as diagnostic markers in cranial meningiomas. Materials and Methods: The study included results of 29 patient and 47 healthy contributors. Based on pathologies, the patients were divided into two groups. The first group included meningioma patients and the second one included healthy individuals. Healthy contributors named control group. Platelet count and platelet indices were determined using Sysmex XN 550 haematology analyzer. The preoperative platelet count (PLT) and platelet indices included mean platelet volume (MPV), platecrit (PCT), platelet distribution width  (PDW) values were recorded from the routine laboratory tests. Results: There was no statistically significant difference in PLT between the meningioma and healthy groups (p = 0.217). There was a statistically significant difference in PCT between the meningioma group and the healthy group (p = 0.002). There was a statistically significant difference in PDW between meningioma group and healthy group (p = 0.001). In terms of MPV, there was a statistically significant difference between meningioma group and the healthy group (p = 0.001) Conclusion: Platelet count and indices are easily available in the routine blood tests. Despite the retrospective design and small sample size, our findings suggest that altered MPV, PDW and PCT levels might serve as potential biomarkers for the diagnosis of meningiomas.

scholarly journals Study of Platelet Indices and Their Interpretation in Thrombocytopenia in a Tertiary Care Hospital

2021 ◽  
Vol 10 (7) ◽  
pp. 435-439
Author(s):  
Vani Mittal ◽  
Munesh Munesh ◽  
Irbinder Kour Bali ◽  
Sunil Arora ◽  
Jyoti Singh ◽  
...  
Keyword(s):  
Platelet Count ◽  
Mean Platelet Volume ◽  
Large Cell ◽  
Care Hospital ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Distribution Width ◽  
Cell Ratio ◽  
Platelet Indices ◽  
Significant Difference

BACKGROUND Thrombocytopenia may either be due to increased destruction or impaired production of platelets. Platelet count alone is not enough to determine the mechanism of low platelets. Platelet indices like mean platelet volume (MPV), platelet distribution width (PDW), platelet large cell ratio (P-LCR) and platelet crit (PCT) can help determine the cause and we aimed at finding their role and function in cases of thrombocytopenia. METHODS An observational cross-sectional study of 155 patients with thrombocytopenia and 71 controls was done for a period of six months in SGT Hospital, Gurugram, to determine the mechanism behind the low platelet count with the help of these indices. RESULTS The mean values of the platelet indices (PDW, P-LCR and PCT) were found to be higher in accelerated destruction group (P < 0.05) in comparison to hypoproductive group, whereas, mean MPV values were higher in the former, but was not statistically significant. On comparison with the controls, both the groups of thrombocytopenia showed a statistically significant difference with P < 0.005 in all the four indices. Mean PCT values showed a highly significant difference between the two groups as well as with controls (P < 0.001) and also the relationship of PCT with severity of thrombocytopenia showed a direct relationship which was also significant (P < 0.001). CONCLUSIONS In distinguishing between the cause of thrombocytopenia i.e., hypoproductive or hyper destruction, platelet parameters play an important role. These platelet indices are easily available with the help of automated haematology analysers and can reduce the need for costly and invasive tests for evaluation of thrombocytopenia. KEY WORDS Mean Platelet Volume, Platelet crit, Platelet Distribution Width, Platelet Large Cell Ratio, Thrombocytopenia

scholarly journals Platelet indices evaluation in patients with dengue fever

2018 ◽  
Vol 6 (6) ◽  
pp. 2054 ◽  
Author(s):  
Payal Mukker ◽  
Smitha Kiran
Keyword(s):  
Platelet Count ◽  
Dengue Fever ◽  
Mean Platelet Volume ◽  
Dengue Infection ◽  
P Value ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Distribution Width ◽  
Platelet Indices ◽  
Significant Difference

Background: Platelet indices (PIs)-Platecrit, mean platelet volume (MPV) and platelet distribution width (PDW)-are a group of platelet parameters obtained as a part of complete blood count using automated hematology analyzers. Evidence suggests that PIs may have diagnostic and prognostic value in febrile thrombocytopenia. This study aims to understand the profile of PIs in dengue fever. Aims and objectives was to study the platelet indices in patients with dengue fever.Methods: The present study is a retrospective observational study conducted in a tertiary hospital in Kerala. Platelet count, mean platelet volume (MPV), platecrit and Platelet distribution width (PDW) along with routine blood parameters hemoglobin(Hb), hematocrit, WBC, Platelet count, serum bilirubin, liver enzymes (AST, ALT) of 123 patients were collected. These 123 patients were grouped into three according to the platelet count (<20000,20000-100000, >100000). All the test results are available in hospital database. This was accessed using inpatient numbers obtained from medical records department of our institution. All analysis was done using free to use software R and values were rounded off to the nearest decimal point. Non normally distributed parameters were expressed as median (IQR). Parameters which did not follow normal distribution were analyzed with Kruskall Wallis test and the values are expressed as mean (SD) and a p value <0.05 was considered statistically significant.Results: Platelet indices PDW (57±13.8 vs. 55.4±6.9, p value 0.001) and MPV (9.2±0.09 vs. 13.8±1.3fL, p value <0.001) values were significantly altered in dengue fever with platelet counts below 20,000 compared to platelet count more than one lakh group. Similarly, the Platelet index (MPVxPDW\PLCxPCT), MPV\PLC, MPV\Platecrit, PDW\PLC and PDW\Platecrit ratio showed statistically significant difference between the different platelet groups.Conclusions: Platelet indices are useful parameters in dengue infection. Other than platelet count, PDW, MPV, platecrit are useful to monitor dengue fever.

scholarly journals The relation between mean platelet volume and platelet distribution width to COVID-19 severity

2021 ◽  
Vol 8 (8) ◽  
pp. 1026
Author(s):  
I. Kadek Aditya Nugraha ◽  
Kadek Surya Atmaja ◽  
Ketut Suryana ◽  
Wayan Wahyu Semara Putra
Keyword(s):  
Mean Platelet Volume ◽  
Wide Spectrum ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Distribution Width ◽  
Significant Difference ◽  
Auc Value ◽  
Relationship Of ◽  
D Dimer

Background: Wide spectrum of clinical manifestation and severity of COVID-19 led to further studies to find a simple biomarker used to predict the severity of COVID-19. We investigated the role of mean platelet volume (MPV) and platelet distribution width (PDW), widely available parameters, as predictor of COVID-19 severity.Methods: We conducted a single center analytic observational study to evaluate the relationship between MPV and PDW values and COVID-19 severities. A total of 123 subjects of COVID-19 within October to December 2020 included in the analysis.Results: Analysis showed a statistically significant difference in MPV, PDW, and D-dimer between COVID-19 severities (p<0.001, p=0.002, and p<0.001). Correlation coefficient between MPV, PDW, and D-dimer with COVID-19 severity were 0.28 (p=0.002); 0.22 (p<0.001), and 0.81 (p<0.001), but there’s no correlation between MPV (p=0.176) and PDW (p=0.383) with D-dimer. The AUC value of the ROC curve of MPV, PDW and D-dimer in predicting severity was 79% (p=0.001, 95% CI: 0.696-0.885), 72.5% (p<0.001, 95% CI: 0.598-0.852), and 97% (p<0.001, 95% CI: 0.937-1.00).Conclusions: This study found a relationship between MPV and PDW values on the severity of COVID-19. There’s no relationship of MPV and PDW to D-dimer concentration.

scholarly journals Mean Platelet Volume and Platelet Distribution Width as Markers in the Diagnosis of Acute Gangrenous Appendicitis

2015 ◽  
Vol 2015 ◽  
pp. 1-4 ◽  
Author(s):  
Zhe Fan ◽  
Jiyong Pan ◽  
Yingyi Zhang ◽  
Ziyi Wang ◽  
Ming Zhu ◽  
...  
Keyword(s):  
Mean Platelet Volume ◽  
Medical Condition ◽  
Roc Curves ◽  
Disease Diagnosis ◽  
Control Group ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Distribution Width ◽  
Gangrenous Appendicitis ◽  
Wbc Count

Introduction.Acute gangrenous appendicitis (AGA) is a common medical condition; however, the grade of appendicitis usually cannot be established preoperatively. We have attempted to identify some indicators, such as the mean platelet volume (MPV) and the platelet distribution width (PDW), to diagnose AGA.Aims.To evaluate whether or not the MPV and PDW are suitable markers to diagnose AGA.Methods.A retrospective study of 160 patients with AGA and 160 healthy patients was undertaken. Disease diagnosis was confirmed based on the pathologic examination of surgical specimens. Patient white blood cell (WBC) count, neutrophil ratio (NR), platelet (PLT) count, MPV, PDW, and hematocrit (HCT) were analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the sensitivity and specificity of these indices in AGA.Results.There were no significant differences between the AGA and control groups in age and gender. Compared to the control group, the WBC count, NR, and PDW were significantly higher (P<0.001, resp.) and the MPV and HCT were significantly lower (P<0.001, resp.) in the AGA group. The diagnostic specificities of the WBC count, NR, PLT count, MPV, PDW, and HCT were 86.3%, 92.5%, 58.1%, 81.7%, 83.9%, and 66.3%, respectively. Therefore, the NR had the highest diagnostic specificity for the diagnosis of AGA.Conclusions.This is the first study to assess the MPV and PDW in patients with AGA. Our present study showed that the MPV is reduced and the PDW is increased in patients with AGA; the sensitivity of PDW was superior to the MPV. A decreased MPV value and an increased PDW could serve as two markers to diagnose AGA. The NR had the highest specificity for the diagnosis of AGA.

Mean Platelet Volume and Platelet Distribution Width Correlate with Microvascular Complications in Egyptian People with Type 2 Diabetes Mellitus

2021 ◽  
Vol 17 ◽  
Author(s):  
Mohammed I. Abd El-Ghany ◽  
Nahed Abdallah ◽  
Waleed Eldars
Keyword(s):  
Type 2 Diabetes ◽  
Mean Platelet Volume ◽  
Microvascular Complications ◽  
Fasting Blood Glucose ◽  
Vascular Complications ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Distribution Width ◽  
Diabetic Microvascular Complications

Background: Type 2 diabetes is a part of metabolic syndrome associated with a higher risk of vascular complications. Diabetes is characterized by changes in platelet morphology, function, and platelet hyperactivity so, it's considered a prothrombotic condition. Morbidity and mortality in people with type 2 diabetes-related to micro and macrovascular complications. Novel biomarkers are needed to identify and treat people at higher risk. Objective: The main objective of this controlled cross-sectional study was to evaluate Platelet volume indices (PVI) in subjects with type 2 diabetes with and without complications in comparison to subjects without diabetes. Methods: Hundred and thirty-five subjects aged from 35 to 60 years were subdivided into 3 groups. Group A includes 55 subjects with type 2 diabetes with complications. Group B includes 45 subjects with type 2 diabetes without complications. Group C includes 35 normal healthy subjects. Detailed clinical history was taken. Also, PVI, fasting blood glucose (FBG), hemoglobin A1c, and creatinine were obtained. Results: Mean Platelet Volume (MPV), Platelet Distribution Width (PDW), Plateletcrit (PCT), and Platelet large cell ratio (P-LCR) were significantly higher among subjects with retinopathy, nephropathy, and neuropathy than other subjects with diabetes who didn't develop complications (P<0.001). At cutoff value > 11.9 fL, MPV have diagnostic sensitivity 80% and specificity 97.8%. Whereas PDW >16.9fL has a sensitivity of 74.5% and specificity of 100% for diabetic microvascular complications (retinopathy, nephropathy, and neuropathy). Conclusion: MPV and PDW may be considered as possible biomarkers for the early detection of diabetic microvascular complications.

scholarly journals A pattern of platelet indices as a potential marker for prediction of pre-eclampsia among pregnant women attending a Tertiary Hospital, Ethiopia: A case-control study

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259543
Author(s):  
Solomon Gebre Bawore ◽  
Wondimagegn Adissu ◽  
Berhanu Niguse ◽  
Yilma Markos Larebo ◽  
Nigussie Abebe Ermolo ◽  
...  
Keyword(s):  
Platelet Count ◽  
Pregnant Women ◽  
Mean Platelet Volume ◽  
Case Control Study ◽  
Case Control ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Distribution Width ◽  
Platelet Indices ◽  
Control Study

Introduction Preeclampsia is the most serious health risk during pregnancy for both the mother and the fetus. Even though platelet parameters are among the proposed biomarkers for the prediction of preeclampsia, the use of its indices in the diagnosis of preeclampsia is not increasing in Ethiopia. There is little information on platelet patterns in preeclampsia and normal pregnancy. The purpose of this study was to determine the pattern of platelet indices in women with preeclampsia in our study setting. Methods A case-control study was conducted among 180 pregnant women who attended anti-natal follow-ups from January 1 to April 3, 2019. An Ethylene Diamine Tetra Acetic Acid anti-coagulated venous blood was collected and analyzed using a hematology analyzer (MINDRAY®-BC-300Plus, Shenzhen China). The SPSS software version 26 was used to run the Mann Whitney U test, Kruskal-Wallis H test, and Kolmogorov-Smirnov normality test, Post-hock test augmented with Benforeni, receiver operating characteristics curve, and Spear Man rank-order correlation. A P-value of <0.05 was considered statistically significant. Results A total of 180 pregnant women were included in the study. Platelet count and platelet crit levels tend to decrease as pre-eclampsia becomes more severe. In contrast, the mean platelet volume and platelet distribution widths were significantly increased with the severity of preeclampsia (P<0.001). Platelet distribution width (rho = 0.731, p<0.001) and mean platelet volume (rho = 0.674, p<0.001) had statistically significant positive relationships with mean arterial pressure. The best metric for predicting preeclampsia was platelet distribution width (AUC = 0.986; 95%CI; 0.970, 1). Conclusions Platelet indices, including platelet count, mean platelet volume, platelet distribution width, and Platelet crit, have been identified as promising candidate markers for predicting preeclampsia in pregnant women. In the future, a serial examination of these indicators during several trimesters of pregnancy should be conducted.

scholarly journals Mean Platelet Volume and Platelet Distribution Width as Markers of Vascular Thrombosis in Type 2 Diabetes Mellitus

2016 ◽  
Vol 50 (3) ◽  
pp. 127-131 ◽  
Author(s):  
M Bhanukumar ◽  
Prasanna KH Ramaswamy ◽  
Naveen K Peddi ◽  
Vineetha B Menon
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Mean Platelet Volume ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Distribution Width ◽  
Vascular Thrombosis ◽  
Type 2 Dm

ABSTRACT Aims The objective of the study was to determine the mean platelet volume (MPV) and platelet distribution width (PDW) in subjects with type 2 diabetes mellitus (type 2 DM) compared to subjects without type 2 DM and their correlation with fasting blood glucose, glycosylated hemoglobin (HbA1c), and duration of type 2 DM respectively. Materials and methods A prospective analytical case—control study was conducted involving 50 subjects with type 2 DM and 50 subjects without type 2 DM. The mean and standard deviation were estimated for both the groups separately and independent Student's “t”-test was used for evaluating the significant difference. The statistical evaluation was carried out at 95% confidence level. Results Mean MPV and PDW in case group was significantly higher compared to control group (p < 0.005). Fasting blood glucose, HbA1c, and duration of type 2 DM did not significantly alter MPV or PDW. Conclusion The study concludes that MPV and PDW are significantly increased in patients with type 2 DM compared to patients without type 2 DM. Platelet volume indices are an important, simple, and cost-effective tool that should be used and explored extensively, especially in countries, such as India, for predicting the possibility of impending acute vascular events in patients with type 2 DM. Clinical significance This analytical method helps us to use MPV and PDW as early markers of vascular thrombosis. How to cite this article Bhanukumar M, Ramaswamy PKH, Peddi NK, Menon VB. Mean Platelet Volume and Platelet Distribution Width as Markers of Vascular Thrombosis in Type 2 Diabetes Mellitus. J Postgrad Med Edu Res 2016;50(3):127-131.

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