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Predictive Value of Mean Platelet Volume for Pulmonary Embolism Recurrence

Overview of attention for article published in Lung, June 2017
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Title
Predictive Value of Mean Platelet Volume for Pulmonary Embolism Recurrence
Published in
Lung, June 2017
DOI 10.1007/s00408-017-0020-7
Pubmed ID
Authors

Omer Araz, Fadime Sultan Albez, Elif Yilmazel Ucar, Bugra Kerget, Nafiye Yılmaz, Metin Akgun

Abstract

Recurrence is a major clinical problem in patients with pulmonary embolism and can affect mortality. The decision to discontinue treatment is important for recurrence and is based on patients' clinical features as well as certain blood parameters. Our aim in this study was to evaluate whether mean platelet volume (MPV) and platelet distribution width (PDW) have utility as new predictive parameters for recurrence and mortality in pulmonary embolism. A total of 440 patients with pulmonary embolism underwent computed tomography, Doppler ultrasonography, and echocardiography before and at the conclusion of treatment. Thrombocyte count, MPV, PDW, and D-dimer parameters were also evaluated at the same time points. MPV and PDW were significantly higher in deceased patients (8.8 ± 1.2 fl and 17.4 ± 0.8) compared to surviving patients (7.7 ± 0.9 fl and 17 ± 0.9) (p < 0.0001). Initial MPV and PDW were also significantly higher in patients with recurrence (8.4 ± 0.7 vs 7.6 ± 0.8 fl, p < 0.0001 and 17.3 ± 0.8 vs 16.9 ± 0.9, p = 0.002, respectively) than in patients without recurrence. At the end of treatment, MPV was still higher in patients with recurrence compared to patients without recurrence (8.7 ± 0.5 and 7.5 ± 0.7 fl, respectively, p < 0.0001). MPV values over 8.05 fl at the end of treatment predicted recurrence with 91% sensitivity and 77% specificity. MPV seems to be an indicator of recurrence in pulmonary embolism and may have utility in the prediction of recurrence. Elevated MPV can also be used to predict mortality in pulmonary embolism.

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The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 20%
Professor 2 13%
Student > Postgraduate 2 13%
Professor > Associate Professor 2 13%
Student > Master 1 7%
Other 3 20%
Unknown 2 13%
Readers by discipline Count As %
Medicine and Dentistry 10 67%
Nursing and Health Professions 2 13%
Unknown 3 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 May 2018.
All research outputs
#18,606,163
of 23,047,237 outputs
Outputs from Lung
#664
of 893 outputs
Outputs of similar age
#241,994
of 317,163 outputs
Outputs of similar age from Lung
#17
of 21 outputs
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