↓ Skip to main content

Soluble fibrin is a useful marker for predicting extracorporeal membrane oxygenation circuit exchange because of circuit clots

Overview of attention for article published in Journal of Artificial Organs, January 2018
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
16 Mendeley
Title
Soluble fibrin is a useful marker for predicting extracorporeal membrane oxygenation circuit exchange because of circuit clots
Published in
Journal of Artificial Organs, January 2018
DOI 10.1007/s10047-018-1021-x
Pubmed ID
Authors

Kota Hoshino, Kentaro Muranishi, Yasumasa Kawano, Hiroki Hatomoto, Shintaro Yamasaki, Yoshihiko Nakamura, Hiroyasu Ishikura

Abstract

A circuit clot is one of the most frequent complications during extracorporeal membrane oxygenation (ECMO) support. We identify coagulation/fibrinolysis markers for predicting ECMO circuit exchange because of circuit clots during ECMO support. Ten patients with acute pulmonary failure who underwent veno-venous ECMO were enrolled between January 2014 and December 2016. ECMO support lasted 106 days. The 6 days on which the ECMO circuits were exchanged were considered as circuit clot (+) group, while the remaining 100 days were considered as circuit clot (-) group. The predictors of ECMO circuit exchange because of circuit clots were identified. The mean duration of ECMO support was 10 ± 13 days, and the mean number of ECMO circuit exchange was 0.6 ± 1.1 times per patient. Thrombin-antithrombin complex (TAT) and soluble fibrin (SF) were higher in the circuit clot (+) group than in the circuit clot (-) group (both P < 0.01). According to a multivariate analysis, SF was the only independent predictor of ECMO circuit exchange (P < 0.01). The odds ratio (confidence intervals) for SF (10 µg/ml) was 1.20 (1.06-1.36). The area under the curve and optimal cut-off value were 0.95 and 101 ng/ml for SF (sensitivity, 100%; specificity, 89%). SF may be useful in predicting ECMO circuit exchange because of circuit clots.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 13%
Researcher 2 13%
Professor 2 13%
Librarian 1 6%
Student > Doctoral Student 1 6%
Other 3 19%
Unknown 5 31%
Readers by discipline Count As %
Medicine and Dentistry 7 44%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unspecified 1 6%
Decision Sciences 1 6%
Nursing and Health Professions 1 6%
Other 0 0%
Unknown 5 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 April 2018.
All research outputs
#6,927,872
of 25,534,033 outputs
Outputs from Journal of Artificial Organs
#51
of 270 outputs
Outputs of similar age
#130,165
of 450,189 outputs
Outputs of similar age from Journal of Artificial Organs
#1
of 9 outputs
Altmetric has tracked 25,534,033 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 270 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 81% of its peers.
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 450,189 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them