scholarly journals Platelet Indices as Indicator of Diabetic Nephropathy among Patients Attending a Tertiary Care Centre in South-India

2021 ◽  
pp. 169-173
Author(s):  
Jainulavudeen Mohamed Rabeek ◽  
B. Shanthi ◽  
Mary Chandrika Anton
Keyword(s):  
Diabetic Nephropathy ◽  
Serum Creatinine ◽  
Mean Platelet Volume ◽  
Tertiary Care ◽  
The Body ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Tertiary Care Centre ◽  
Distribution Width ◽  
Platelet Indices

Introduction: Diabetes mellitus, a chronic metabolic disease affects various organs of the body on a long-term basis. Studies have been conducted on different aspects of the disease, to understand its complications and to detect them earlier to avoid irreversible damage like nephropathy. Aim: The study aims at comparing platelet indices like Plateletcrit (PCT), Platelet Distribution Width (PDW) and Mean Platelet Volume (MPV), with serum creatinine among diabetes, prediabetes patients and non-diabetes controls, to understand the association of the platelet indices and creatinine, an indicator of renal damage. Materials and Methods: The cross-sectional study conducted over a period of three months involved 30 non-diabetic controls with normal HbA1c, 30 diabetics and 30 prediabetic subjects, of age group 18-35 years. The groups were classified based on their HbA1c concentration. The blood samples were analyzed for parameters PCT, PDW, MPV, creatinine and HbA1c by their respective methods. The study will guide in understanding the role of platelets in pathogenesis of diabetic nephropathy. Results: Platelet indices like Plateletcrit (PCT), Platelet Distribution Width (PDW) and Mean Platelet Volume (MPV) were found to be increased in diabetics and 30 prediabetic subjects than the non-diabetics. The Platelet indices were also correlating with the serum creatinine levels of the three study groups. Conclusion: There is a positive association between the Platelet indices and creatinine, in patients with pre-diabetes and diabetes who have the risk of progression to diabetic nephropathy. Hence, the Platelet indices shall be included as early and cost-effective biomarkers of diabetic nephropathy.

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.

SAT0241 PLATELET INDICES COULD BE SIMPLE RELIABLE PREDICTORS OF THROMBOTIC EVENTS IN PATIENTS WITH ANTIPHOSPHOLIPID SYNDROME

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1063.1-1063
Author(s):  
J. Zhao ◽  
M. LI ◽  
Q. Wang ◽  
X. Tian ◽  
X. Zeng
Keyword(s):  
Platelet Activation ◽  
Antiphospholipid Syndrome ◽  
Mean Platelet Volume ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Distribution Width ◽  
Platelet Indices ◽  
Logistic Analysis ◽  
Large Platelet ◽  
Pathogenic Process

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

scholarly journals Is there a diagnostic value for the platelet indices patients in pulmonary embolism?

2017 ◽  
Vol 25 (2) ◽  
pp. 91-94
Author(s):  
İbrahim Çevik ◽  
Hüseyin Narcı ◽  
Güllü Akbaydoğan Dündar ◽  
Cüneyt Ayrık ◽  
Seyran B Babuş
Keyword(s):  
Pulmonary Embolism ◽  
Mean Platelet Volume ◽  
Area Under The Curve ◽  
Control Group ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Distribution Width ◽  
Platelet Indices ◽  
Platelet Number ◽  
D Dimer

Background: Pulmonary embolism is a common disease with a high mortality risk. It has recently been reported that platelet indices may be diagnostic in pulmonary embolism. Objective: In this study, we aimed to determine the diagnostic value of platelet indices in acute pulmonary embolism. Methods: The study group was composed of 61 patients diagnosed with pulmonary embolism and a control group of 67 subjects without pulmonary embolism. Patient age, sex, leukocyte and platelet number, hemoglobin concentration (Hb), mean platelet volume, platelet distribution width, red blood cell distribution width, C-reactive protein, D-Dimer, and troponin I levels were retrospectively analyzed and compared between the two groups. Results: There was no significant difference between age and platelet number of pulmonary embolism and control group. In pulmonary embolism group, platelet distribution width level was significantly high (p = 0.002), whereas mean platelet volume level was significantly lower (p = 0.038). Receiver operating characteristic curve analysis revealed that a mean platelet volume cut-off of 9 fL had a sensitivity of 35%, a specificity of 89.55%, and area under the curve of 0.589 for pulmonary embolism, while a platelet distribution width cut-off of 12.8 fL had a sensitivity of 61%, a specificity of 71.64%, and area under the curve of 0.661. Platelet distribution width and D-dimer levels had a significant positive correlation with each other, whereas there was no significant correlation between mean platelet volume and D-dimer. Conclusion: Platelet distribution width values of the pulmonary embolism group were higher than those of control group. Although the area under the curve of platelet distribution width is slightly better than for platelet number or mean platelet volume, it does not seem that this parameter has better diagnostic accuracy than the other two.

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 Mean Platelet Volume, Platelet Distribution Width, and Platelet Count in Varicocele: A Systematic Review and Meta-Analysis

2016 ◽  
Vol 38 (6) ◽  
pp. 2239-2246 ◽  
Author(s):  
Jung-Soo Pyo ◽  
Won Jin Cho
Keyword(s):  
Platelet Count ◽  
Mean Platelet Volume ◽  
Healthy Subjects ◽  
Meta Analysis ◽  
Mean Difference ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Distribution Width ◽  
Platelet Indices ◽  
Low Platelet Count

Background/Aims: The aim of this study was to elucidate the usefulness of platelet indices, mean platelet volume (MPV), platelet distribution width (PDW), and platelet count in diagnosis and monitoring of varicocele. Methods: The current study included 525 patients and 379 healthy subjects from five eligible studies. We performed meta-analysis of MPV, PDW, and platelet count and mean differences in these platelet indices between healthy subjects and varicocele patients. Results: The pooled MPVs were 8.168 fL (95% confidence interval [CI] 7.589 to 8.747) and 8.801 fL (95% CI 8.028 to 9.574) in healthy subjects and varicocele patients, respectively. The pooled mean difference in MPV between healthy subjects and varicocele patients was 0.834 fL in case-control studies (95% CI 0.195 to 1.473, P = 0.011). In both healthy subjects and varicocele patients, low platelet count subgroups showed higher MPV than high platelet count subgroups. The mean difference in MPV was higher in low platelet count subgroup. There was no significant difference in PDW between healthy subjects and varicocele patients. Conclusion: Taken together, our data showed that platelet count was significantly lower in varicocele patients than in healthy subjects. Varicocele patients showed significantly higher MPV and lower platelet count than healthy subjects. MPV levels of patients differed according to platelet counts.

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

Platelet Indices As Markers For Remission In ALL During Induction of Remission: An Experience of 52 Cases

2020 ◽  
Vol 44 (1) ◽  
pp. 34-39
Author(s):  
Masuma Khan ◽  
AKM Amirul Morshed ◽  
Taslim Uddin Ahmed ◽  
Hakimul Haque Khan ◽  
Ashraf Uddin Ahmed ◽  
...  
Keyword(s):  
Platelet Count ◽  
Early Diagnosis ◽  
Mean Platelet Volume ◽  
Surrogate Marker ◽  
Newly Diagnosed ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Distribution Width ◽  
Platelet Indices ◽  
Remission Phase

Background: Platelet indices (plateletcrit, mean platelet volume, platelet distribution width and Platelet count) are potentially useful markers for the early diagnosis and outcome of many diseases. Platelet indices could serve as surrogate marker for remission in patients with ALL. Objective: To observe change of platelet indices in ALL during induction of remission. Material & Methods: This observational study was carried out with 52 newly diagnosed ALL patients ranging from 1.5 to 12 years admitted at DMCH, from January to December 2015. Platelet indices such as plateletcrit (PCT), mean platelet volume (MPV), platelet distribution width (PDW) and platelet count (PLT) were monitored from admission to induction of remission phase of chemotherapy and were analyzed. Result: Mean PLT was found 93442.3±29966.4 cmm before treatment, 137442.3±27217.9 cmm in 1st week and 231653.8±42543.5 cmm in 4th week. Mean PCT was found 0.09±0.11% before treatment, 0.16±0.11% in 1st week and 0.25±0.18 % in 4th week. Both PLT & PCT was increased significantly during induction of remission after one and four weeks. Mean PDW was found 13.1±3.9 fl before treatment, 12.9±3.5 fl in 1st week and 12.0±3.1 fl in 4th week. MPV was found 10.6±2.1 fl before treatment, 11.0±1.4 fl in 1st week and 10.7±1.4 fl in 4th week. The change of MPV & PDW were not statistically significant when compared with that of before treatment. Conclusion: It can be concluded that among four important platelet indices, PLT and PCT were significantly associated with remission in ALL during induction of remission. Bangladesh J Child Health 2020; VOL 44 (1) :34-39

scholarly journals COMPARISON OF PLATELET COUNTS SHOWN BY AUTOMATIC HAEMATOLOGY ANALYSERS AND COUNTS MEASURED MANUALLY IN POPULATION OF MOUNTAINOUS HILLY REGION OF CHENAB VALLEY ATTENDING OPD ON ROUTINE BASIS IN GMC DODA. ASSOCIATED HOSPITAL

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Sumat Ul Khurshid ◽  
Nazia Tabbasum
Keyword(s):  
Peripheral Blood ◽  
Mean Platelet Volume ◽  
Blood Smear ◽  
Peripheral Blood Smear ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Distribution Width ◽  
Platelet Indices ◽  
Platelet Counts ◽  
Hilly Region

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. Aims & 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&k . 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. 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). 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. 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. Keywords: Automated analyser, Peripheral blood smear, MPV, PDW, large granular platelets.

scholarly journals A review of relationship between platelet indices and microvascular complications in type 2 diabetic patients

2020 ◽  
Vol 7 (4) ◽  
pp. 714
Author(s):  
Subashini Subramanian ◽  
Siva Ranganathan Green
Keyword(s):  
Mean Platelet Volume ◽  
Microvascular Complications ◽  
Vascular Complications ◽  
Diabetic Patients ◽  
World Population ◽  
Platelet Distribution Width ◽  
Platelet Volume ◽  
Type 2 Diabetic Patients ◽  
Distribution Width ◽  
Platelet Indices

Diabetes is a common metabolic disorder affecting the world population which accounts for major amount of morbidity and mortality mainly due to its micro vascular and macro vascular complications. This is a comparative study which analyses the correlation between the Platelet indices like Mean platelet volume, platelet distribution width, plateletcrit and total platelet count in diabetic patients with micro vascular complications and without complications. This review of the literature was conducted through an Internet search on a public access website like PubMed Google scholar, Medline databases until 2019. Keywords utilized included Diabetes mellitus, Microvascular complications, platelet indices. The major exclusion criteria was studies which included the patients with macrovascular complications and patients taking drugs which alters the platelet indices. All these articles were analysed. Platelet indices like Mean platelet volume and platelet distribution width was significantly higher in individuals with microvascular complications, predominantly Diabetic Nephropathy and Diabetic Retinopathy when compared to those without microvascular complications. Change in platelet indices were found to be statistically associated with diabetic microvascular complications. Hence these parameters can be used to monitor and to predict the risk of microvascular complications.

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