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Serum Creatinine Distinguishes Duchenne Muscular Dystrophy from Becker Muscular Dystrophy in Patients Aged ≤3 Years: A Retrospective Study

Overview of attention for article published in Frontiers in Neurology, May 2017
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Title
Serum Creatinine Distinguishes Duchenne Muscular Dystrophy from Becker Muscular Dystrophy in Patients Aged ≤3 Years: A Retrospective Study
Published in
Frontiers in Neurology, May 2017
DOI 10.3389/fneur.2017.00196
Pubmed ID
Authors

Liang Wang, Menglong Chen, Ruojie He, Yiming Sun, Juan Yang, Lulu Xiao, Jiqing Cao, Huili Zhang, Cheng Zhang

Abstract

Here, we investigated correlations between serum creatinine (SCRN) levels and clinical phenotypes of dystrophinopathy in young patients. Sixty-eight patients with dystrophinopathy at the Neuromuscular Clinic, The First Affiliated Hospital, Sun Yat-sen University, were selected for this study. The diagnosis of dystrophinopathy was based on clinical manifestation, biochemical changes, and molecular analysis. Some patients underwent muscle biopsies; SCRN levels were tested when patients were ≤3 years old, and reading frame changes were analyzed. Each patient was followed up, and motor function and clinical phenotype were assessed when the same patients were ≥4 years old. Our findings indicated that in young patients, lower SCRN levels were associated with increased disease severity (p < 0.01) and that SCRN levels were the highest in patients exhibiting mild Becker muscular dystrophy (BMD) (p < 0.001) and the lowest in patients with Duchenne muscular dystrophy (DMD) (p < 0.01) and were significantly higher in patients carrying in-frame mutations than in patients carrying out-of-frame mutations (p < 0.001). SCRN level cutoff values for identifying mild BMD [18 µmol/L; area under the curve (AUC): 0.947; p < 0.001] and DMD (17 µmol/L; AUC: 0.837; p < 0.001) were established. These results suggest that SCRN might be a valuable biomarker for distinguishing DMD from BMD in patients aged ≤3 years and could assist in the selection of appropriate treatment strategies.

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Mendeley readers

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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 > Master 7 17%
Researcher 5 12%
Student > Ph. D. Student 5 12%
Student > Bachelor 4 10%
Student > Postgraduate 3 7%
Other 6 15%
Unknown 11 27%
Readers by discipline Count As %
Medicine and Dentistry 7 17%
Biochemistry, Genetics and Molecular Biology 6 15%
Agricultural and Biological Sciences 4 10%
Social Sciences 3 7%
Chemistry 2 5%
Other 5 12%
Unknown 14 34%
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 2017.
All research outputs
#20,420,242
of 22,971,207 outputs
Outputs from Frontiers in Neurology
#8,868
of 11,853 outputs
Outputs of similar age
#270,382
of 310,577 outputs
Outputs of similar age from Frontiers in Neurology
#133
of 175 outputs
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