scholarly journals Mean Platelet Volume and Platelet Volume Distribution Width in Canine Parvoviral Enteritis

2021 ◽  
Vol 8 ◽  
Author(s):  
Monique Engelbrecht ◽  
Brogan Atkinson ◽  
Amelia Goddard ◽  
Paolo Pazzi ◽  
Vanessa McClure

Bacterial translocation from the damaged intestinal tract, reported in canine parvoviral (CPV) enteritis, is thought to be responsible for the systemic inflammatory response resulting from coliform septicemia, which could ultimately progress to septic shock and death. Alterations in platelet indices, specifically mean platelet volume (MPV), is a consistent finding in critically ill people and dogs with and without sepsis. Increased MPV has been reported to be an indirect indicator of platelet activation and of bone marrow response in people and dogs with sepsis. The study aim was to compare admission MPV and platelet volume distribution width (PVDW) in dogs with CPV enteritis to that of healthy aged-matched control dogs. Forty-eight dogs with CPV enteritis and 18 healthy age matched control dogs were included. CPV infection was confirmed with electron microscopy and concurrent blood-borne infections were excluded using PCR. EDTA whole blood samples were analyzed on an automated cell counter, ADVIA 2120, within 30-60 min from collection. There was no significant difference for platelet count between the groups. The MPV for CPV infected dogs (median: 14.0; IQR: 12.2–15.1) was significantly higher compared to controls (11.3; IQR: 10.3–13.1, P = 0.002). The PVDW for CPV infected dogs (66.9; IQR: 64.2–68.8) was significantly higher compared to controls (63.3; IQR: 60.2–65.1, P < 0.001). These findings suggest that significant platelet activation is present in dogs with CPV enteritis which may play a role in the disease outcome, similar to people with sepsis. Further studies are required to investigate the prognosticating ability of MPV in dogs with CPV enteritis.

2019 ◽  
Vol 11 ◽  
pp. 251584141986484 ◽  
Author(s):  
Mehmet Citirik

Purpose:The aim of this article is to determine and compare the platelet activation by three main platelet activation parameters: mean platelet volume, platelet distribution width, and plateletcrit in patients with central retinal vein occlusion and control subjects.Methods:This study included 30 patients with nonischemic central retinal vein occlusion and 30 control subjects. The levels of mean platelet volume, platelet distribution width, and plateletcrit were measured in all groups.Results:The mean serum level of mean platelet volume was 10.01 ± 0.89 fl in central retinal vein occlusion group and 8.74 ± 1.45 fl in control group. The mean serum level of platelet distribution width was 14.31 ± 1.49% and 11.65 ± 1.81% in central retinal vein occlusion group and control group, respectively. Mean serum plateletcrit value was 0.27 ± 0.07% in central retinal vein occlusion group and 0.23 ± 0.07% in control group. Mean platelet volume, platelet distribution width, and plateletcrit levels were significantly higher in central retinal vein occlusion patients than controls ( p < 0.05).Conclusion:Subclinical platelet activation reflected by mean platelet volume, platelet distribution width, and plateletcrit may have an impact on the genesis of vessel occlusion in central retinal vein occlusion. The results may be important for the clinical management of patients with central retinal vein occlusion.


2010 ◽  
Vol 17 (6) ◽  
pp. E17-E20 ◽  
Author(s):  
Ercan Varol ◽  
Akif Arslan ◽  
Habil Yucel ◽  
Mehmet Ozaydin ◽  
Dogan Erdogan ◽  
...  

Background: Systemic thromboembolism is a serious complication in patients with aortic stenosis (AS). Previous studies have demonstrated that platelet activation occurs in patients with AS. The aim of this study was to assess the mean platelet volume (MPV), an indicator of platelet activation in patients with AS. Patients and Methods: The study group consisted of 43 patients with AS. An age-, gender-, and body mass index−matched control group consisted of 35 healthy volunteers. All patients and control participants underwent echocardiographic examination. We measured the serum MPV values in patients and control participants. Results: Mean platelet volume was significantly higher among patients with AS when compared with the control group (8.7 ± 1.0 vs 7.9 ± 0.9 fL, respectively; P = .001). Conclusion: We have shown that MPV was significantly elevated in patients with AS compared to control participant.


1987 ◽  
Vol 58 (04) ◽  
pp. 964-965 ◽  
Author(s):  
J J van Doormaal ◽  
J van der Meer ◽  
H R Oosten ◽  
M R Halie ◽  
H Doorenbos

SummaryThe effect of induced hypothyroidism on platelet count and platelet volume distribution was studied in twelve athyreotic patients, After a two weeks withdrawal of triiodothyronine supplementation, platelet count and the ratio between platelet and red cell count were increased in all patients. Furthermore, mean platelet volume was declined and platelet distribution width was risen. Thus, hypothyroidism appears to increase the number of circulating platelets, especially the smaller ones.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1063.1-1063
Author(s):  
J. Zhao ◽  
M. LI ◽  
Q. Wang ◽  
X. Tian ◽  
X. Zeng

Background:Platelet activation is considered as a pivot pathogenic process to be responsible for thromboembolism in antiphospholipid syndrome (APS). severalstudies shown that platelet indices including platelet distribution width (PDW), mean platelet volume (MPV), large platelet rate (P-LCR) are associated with platelet activation.Objectives:This study aims to determine the correlation between platelet indices and thrombotic events in patients with APS.Methods:Platelet activation is considered as a pivot pathogenic process to be responsible for thromboembolism in antiphospholipid syndrome (APS). severalstudies shown that platelet indices including platelet distribution width (PDW), mean platelet volume (MPV), large platelet rate (P-LCR) are associated with platelet activation.Results:A total of 207 patients [135(65.2%) female, 72(34.8%) male], medianage 35(IQR 10)] was classified into thrombotic group (n=150,72.5%) and non-thrombotic group(n=57,27.5%). PDW, MPV, P-LCR were significantly higher in thrombotic group than non-thrombotic group (13.0±3.4 vs. 11.2±7.3)p<0.001, 10.7±1.4vs.10.0±3.0,p<0.001, 30.25±11.6vs. 25.1±10.4 p<0.001, respectively]. No differences in age, WBC count, hsCRP and C3 were observed between groups. Also, HGB was found to be notably higher in thrombotic group than non-thrombotic group (143±29 vs. 132±15, p=0.001).Upon univariate logistic analysis, PDW (OR 1.554, 95%CI 1.289-1.873, p<0.001), MPV (OR 1.772, 95%CI 1.268-2.476, p=0.001), P-LCR (OR 1.089, 95%CI 1.040-1.140, p<0.001) were all significantly associated with the occurrenceof thrombosis. In multivariate logistic analysis, only PDW and positive LAwere identified to be risk factors of thrombotic events (Table 1). The ROC curve showed that PDW combinedwith positive LAwas a reliable indicator of thrombotic events with an AUC of 0.796 (95%CI 0.728-0.864). The optimal cut-off value for PDW was 12.4fl with a sensitivity of 72.0% and specificity of 77.2%.Conclusion:This study confirmed that PDW, P-LCR and MPV (especially PDW) were significantly associated with thrombotic events in APS patients, which could support the theory of platelet activation being a crucial factor of thrombosis inAPS. Caution should be raised when patients with positive LA has relatively high PDW level.Disclosure of Interests:None declared


2020 ◽  
pp. 123-126
Author(s):  
Yasar Karatas ◽  
Fatih Keskin ◽  
Mehmet Fatih Erdi ◽  
Bulent Kaya ◽  
Densel Arac ◽  
...  

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.


2021 ◽  
Vol 10 (7) ◽  
pp. 435-439
Author(s):  
Vani Mittal ◽  
Munesh Munesh ◽  
Irbinder Kour Bali ◽  
Sunil Arora ◽  
Jyoti Singh ◽  
...  

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


F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 865 ◽  
Author(s):  
Elrazi A. Ali ◽  
Tajeldin M. Abdalla ◽  
Ishag Adam

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.


Author(s):  
Payal Mukker ◽  
Smitha Kiran

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.


2021 ◽  
Vol 8 (8) ◽  
pp. 1026
Author(s):  
I. Kadek Aditya Nugraha ◽  
Kadek Surya Atmaja ◽  
Ketut Suryana ◽  
Wayan Wahyu Semara Putra

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.


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