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Strong predictive value of mannose-binding lectin levels for cardiovascular risk of hemodialysis patients

Overview of attention for article published in Journal of Translational Medicine, August 2016
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Title
Strong predictive value of mannose-binding lectin levels for cardiovascular risk of hemodialysis patients
Published in
Journal of Translational Medicine, August 2016
DOI 10.1186/s12967-016-0995-5
Pubmed ID
Authors

Felix Poppelaars, Mariana Gaya da Costa, Stefan P. Berger, Solmaz Assa, Anita H. Meter-Arkema, Mohamed R. Daha, Willem J. van Son, Casper F. M. Franssen, Marc A. J. Seelen

Abstract

Hemodialysis patients have higher rates of cardiovascular morbidity and mortality compared to the general population. Mannose-binding lectin (MBL) plays an important role in the development of cardiovascular disease. In addition, hemodialysis alters MBL concentration and functional activity. The present study determines the predictive value of MBL levels for future cardiac events (C-event), cardiovascular events (CV-event) and all-cause mortality in HD patients. We conducted a prospective study of 107 patients on maintenance hemodialysis. Plasma MBL, properdin, C3d and sC5b-9 was measured before and after one dialysis session. The association with future C-events, CV-events, and all-cause mortality was evaluated using Cox regression models. During median follow-up of 27 months, 36 participants developed 21 C-events and 36 CV-events, whereas 37 patients died. The incidence of C-events and CV-events was significantly higher in patients with low MBL levels (<319 ng/mL, lower quartile). In fully adjusted models, low MBL level was independently associated with increased CV-events (hazard ratio 3.98; 95 % CI 1.88-8.24; P < 0.001) and C-events (hazard ratio 3.96; 95 % CI 1.49-10.54; P = 0.006). No association was found between low MBL levels and all-cause mortality. Furthermore, MBL substantially improved risk prediction for CV-events beyond currently used clinical markers. Low MBL levels are associated with a higher risk for future C-events and CV-events. Therefore, MBL levels may help to identify hemodialysis patients who are at risk to develop cardiovascular disease.

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The data shown below were collected from the profiles of 5 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 17%
Researcher 6 15%
Student > Bachelor 4 10%
Professor 4 10%
Student > Doctoral Student 3 7%
Other 9 22%
Unknown 8 20%
Readers by discipline Count As %
Medicine and Dentistry 19 46%
Biochemistry, Genetics and Molecular Biology 5 12%
Unspecified 3 7%
Immunology and Microbiology 2 5%
Nursing and Health Professions 1 2%
Other 2 5%
Unknown 9 22%
Attention Score in Context

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 30 November 2023.
All research outputs
#14,856,618
of 24,901,761 outputs
Outputs from Journal of Translational Medicine
#1,832
of 4,508 outputs
Outputs of similar age
#211,484
of 375,910 outputs
Outputs of similar age from Journal of Translational Medicine
#27
of 83 outputs
Altmetric has tracked 24,901,761 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 57% 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 375,910 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.