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Bone Status in Patients with Epilepsy: Relationship to Markers of Bone Remodeling

Overview of attention for article published in Frontiers in Neurology, August 2014
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Title
Bone Status in Patients with Epilepsy: Relationship to Markers of Bone Remodeling
Published in
Frontiers in Neurology, August 2014
DOI 10.3389/fneur.2014.00142
Pubmed ID
Authors

Sherifa A. Hamed, Ehab M. M. Moussa, Ahmad H. Youssef, Mohammed A. Abd ElHameed, Eman NasrEldin

Abstract

Patients with epilepsy and treated with antiepileptic drugs (AEDs) may develop metabolic bone disease; however, the exact pathogenesis of bone loss with AEDs is still unclear. Included were 75 adults with epilepsy (mean age: 31.90 ± 5.62 years; duration of treatment with AEDs: 10.57 ± 3.55 years) and 40 matched healthy controls. Bone mineral content (BMC) and bone mineral densities (BMD) of the femoral neck and lumbar spine were measured using dual-energy X-ray absorptiometry (DEXA). Blood samples were analyzed for calcium, magnesium, phosphate, alkaline phosphatase (ALP), 25-hydroxy vitamin D (25OHD), soluble receptor activator of nuclear factor-kappa B ligand (sRANKL), osteoprotegerin (OPG), and OPG/RANKL ratio (markers of bone remodeling). Compared to controls, patients had lower BMD, BMC, Z-score, and T-score at the femoral neck and lumbar spine (all p < 0.001). Seventy-two percent and 29.33% of patients had osteoporosis of the lumbar spine and femoral neck. Patients had significantly lower serum calcium, 25(OH)D, and OPG and higher ALP, sRANKL levels, and sRANKL/OPG (all p < 0.001). Fifty-two percent of patients had hypocalcemia, 93% had hypovitaminosis D, 31% had high levels of sRANKL, and 49% had low levels of OPG. No differences were identified between DEXA and laboratory results in relation to the type, dose, or serum levels of AEDs. BMD at the femoral neck and lumbar spine were found to be correlated with the duration of illness (p = 0.043; p = 0.010), duration of treatment with AEDs (p < 0.001; p = 0.012), and serum levels of 25(OH)D (p = 0.042; p = 0.010), sRANKLs (p = 0.005; p = 0.01), and OPG (p = 0.006; p = 0.01). In linear regression analysis and after adjusting for gender, age, weight, duration, and number of AEDs, we observed an association between BMD, 25(OH)D (p = 0.04) and sRANKL (p = 0.03) concentrations. We conclude that AEDs may compromise bone health through disturbance of mineral metabolism and acceleration of bone turnover mechanisms.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 15%
Researcher 6 15%
Student > Postgraduate 5 13%
Student > Master 5 13%
Professor > Associate Professor 3 8%
Other 9 23%
Unknown 6 15%
Readers by discipline Count As %
Medicine and Dentistry 17 43%
Pharmacology, Toxicology and Pharmaceutical Science 3 8%
Biochemistry, Genetics and Molecular Biology 3 8%
Agricultural and Biological Sciences 2 5%
Chemistry 2 5%
Other 6 15%
Unknown 7 18%
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 04 February 2020.
All research outputs
#17,724,033
of 22,759,618 outputs
Outputs from Frontiers in Neurology
#7,002
of 11,665 outputs
Outputs of similar age
#155,214
of 229,899 outputs
Outputs of similar age from Frontiers in Neurology
#33
of 65 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,665 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 34th percentile – i.e., 34% 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 229,899 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.