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Value of serial platelet indices measurements for the prediction of pulmonary embolism in patients with deep venous thrombosis

Overview of attention for article published in Therapeutics and Clinical Risk Management, August 2015
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Title
Value of serial platelet indices measurements for the prediction of pulmonary embolism in patients with deep venous thrombosis
Published in
Therapeutics and Clinical Risk Management, August 2015
DOI 10.2147/tcrm.s89355
Pubmed ID
Authors

Utkan Sevük, Mehmet Veysi Bahadir, Rojhat Altindag, Erkan Baysal, Baris Yaylak, Nurettin Ay, Firat Ayaz, Ertan Demirtas

Abstract

To date, no validated biomarkers with high sensitivity and specificity have been established for diagnosis of pulmonary embolism (PE) in patients with deep venous thrombosis (DVT). There is a need to develop simple and reliable noninvasive tests that can accurately identify patients with PE, even in small hospitals or clinics. The aim of this study was to investigate the value of mean platelet volume (MPV) and platelet distribution width (PDW) for predicting occurrence of PE in patients with DVT. Records of acute DVT patients were reviewed retrospectively. Group 1 consisted of 50 patients with acute DVT and group 2 consisted of 50 patients with acute DVT who developed PE during follow-up. The control group consisted of patients with uncomplicated primary varicose veins of the lower limbs. Venous peripheral blood samples for measurement of MPV, PDW, and platelet count were drawn on admission, before the treatment, and at the time of PE diagnosis. MPV and PDW levels at the time of PE diagnosis were higher in group 2 than group 1 (P<0.001 and P=0.026, respectively). Receiver operating characteristics analysis revealed that a 5.2% increase in admission PDW during follow-up provided 70% sensitivity and 82% specificity (area under the curve, 0.80), and a 6.6% increase in admission MPV during follow-up provided 74% sensitivity and 83% specificity (area under the curve, 0.84) for prediction of PE occurrence in patients with DVT. PDW and MPV levels at the time of PE diagnosis were found to be independent risk factors for the occurrence of PE in patients with DVT. Serial measurements of MPV and PDW, and percent change in MPV and PDW appears to be a useful marker for predicting occurrence of acute PE in patients with a first episode of acute proximal DVT.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Other 3 30%
Professor > Associate Professor 2 20%
Researcher 2 20%
Student > Ph. D. Student 1 10%
Student > Master 1 10%
Other 1 10%
Readers by discipline Count As %
Medicine and Dentistry 7 70%
Biochemistry, Genetics and Molecular Biology 1 10%
Nursing and Health Professions 1 10%
Unspecified 1 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 August 2015.
All research outputs
#7,528,735
of 12,485,238 outputs
Outputs from Therapeutics and Clinical Risk Management
#533
of 922 outputs
Outputs of similar age
#116,366
of 238,803 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#42
of 62 outputs
Altmetric has tracked 12,485,238 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 922 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 238,803 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.