scholarly journals Effect of platelet large cell ratio (PLCR) and immature granulocyte (%IG) values on prognosis in surgical site infections

2021 ◽  
Vol 5 (6) ◽  
pp. 588-592
Author(s):  
Berna Şermin KILIÇ ◽  
Nil ATAKUL
2001 ◽  
Vol 25 (10) ◽  
pp. 873 ◽  
Author(s):  
Osamu Kabutomori ◽  
Yuzuru Kanakura ◽  
Yoshinori Iwatani

2015 ◽  
Vol 136 (2) ◽  
pp. 361-366 ◽  
Author(s):  
Núria Pujol-Moix ◽  
Miquel Vázquez-Santiago ◽  
Agnès Morera ◽  
Andrey Ziyatdinov ◽  
Angel Remacha ◽  
...  

2010 ◽  
Vol 30 (4) ◽  
pp. 426-433 ◽  
Author(s):  
Giuseppe De Luca ◽  
Matteo Santagostino ◽  
Gioel Gabrio Secco ◽  
Ettore Cassetti ◽  
Livio Giuliani ◽  
...  

2018 ◽  
Vol 64 (6) ◽  
pp. 554-559 ◽  
Author(s):  
Thaís Resende Batista ◽  
Roberta Carvalho de Figueiredo ◽  
Danyelle Romana Alves Rios

SUMMARY Obesity, diabetes and hypertension are risk factors for cardiovascular diseases (CVD) because they promote a state of hypercoagulability. It is known that platelets play an important role in the development of atherosclerosis. Recent studies have evaluated platelet volume indexes (PVIs) in individuals with risk factors for CVD to better understand the platelet mechanisms involved in their development. The IVPs indirectly estimate platelet function and are easily obtained from automated hematology analyzers, which provide platelet counts, mean platelet volume (MPV), platelet distribution width (PDW) and the platelet-large cell ratio (P-LCR). The present study aims to review literature studies that investigated the association between PVIs and obesity, diabetes, and arterial hypertension, in order to evaluate its use as a potential subclinical marker of CVD. Studies have shown promising results for MPV, an index that allows for early detection of platelet activation and may be useful in identifying patients before the onset of CVD development so that preventive strategies can be implemented. The PDW, although evaluated by a smaller number of studies, also showed promising results. However, there is still a long way to go in order for the MPV and PDW to be used in clinical practice, since there is still a need for more epidemiological evidence, establishing reference values, and standardizing the way results are presented.


2021 ◽  
Vol 71 (2) ◽  
pp. 575-78
Author(s):  
Sahar Rabbani ◽  
Muhammad Farooq ◽  
Samina Naeem ◽  
, Muhammad Abdul Naeem ◽  
Nasir Uddin ◽  
...  

Objective: To find out the correlation between the red blood cell and platelet indices in patients presenting with iron deficiency anemia at a tertiary care hospital of Pakistan. Study Design: Cross-sectional study. Place and Duration of Study: Department of Hematology, Combined Military Hospital Lahore, from Sep 2018 to Mar 2019. Methodology: The patients of age 1-70 years of either gender presenting with IDA were included in the study. The blood sample of patients were sent to laboratory to assess the red blood cell and platelet indices. SPSS-23 was used to analyze data. Results: Two hundred and seven patients fulfilling the inclusion criteria were included in this study. The mean age was 25.6 ±17.8years. Correlation was weak and insignificant between haemoglobin and packed cell volume (r=-0.385**, p<0.01), haemoglobin and mean cell volume (r=-0.225**, p<0.01), packed cell volume and mean cell haemoglobin (r =0.263**, p<0.01), & mean cell haemoglobin and mean platelet volume (r=0.143*, p<0.05). Correlation was moderate and significant between platelet distribution width and mean platelet volume (r=0.511**) & platelet distribution width and platelet large cell ratio (0.502**, p<0.01). Correlation was strong between mean platelet volume and platelet large cell ratio (r=0.759**, p<0.01). Conclusion: In conclusion, there was significant relation between red blood cell and platelets indices in iron deficiency anemia. Furthermore, haemoglobin and packed cell volume are weekly correlated, platelet distribution width and mean platelet volume are moderately correlated and mean platelet volume and platelet large cell ratio are strongly correlated.


Author(s):  
K. Yuzuriha ◽  
H. Kuriyama ◽  
T. Okada ◽  
K. Tsutsumi ◽  
A. Tokui ◽  
...  
Keyword(s):  

Author(s):  
Mehmet Nuri KOÇAK ◽  
Mustafa BAYRAKTAR ◽  
Muhammet ÇELİK ◽  
Erdal TEKİN

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