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Predictors of CNS injury as measured by proton magnetic resonance spectroscopy in the setting of chronic HIV infection and CART

Overview of attention for article published in Journal of NeuroVirology, April 2014
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Title
Predictors of CNS injury as measured by proton magnetic resonance spectroscopy in the setting of chronic HIV infection and CART
Published in
Journal of NeuroVirology, April 2014
DOI 10.1007/s13365-014-0246-6
Pubmed ID
Authors

J. Harezlak, R. Cohen, A. Gongvatana, M. Taylor, S. Buchthal, G. Schifitto, J. Zhong, E. S. Daar, J. R. Alger, M. Brown, E. J. Singer, T. B. Campbell, D. McMahon, Y. T. So, C. T. Yiannoutsos, B. A. Navia, The HIV Neuroimaging Consortium

Abstract

The reasons for persistent brain dysfunction in chronically HIV-infected persons on stable combined antiretroviral therapies (CART) remain unclear. Host and viral factors along with their interactions were examined in 260 HIV-infected subjects who underwent magnetic resonance spectroscopy (MRS). Metabolite concentrations (NAA/Cr, Cho/Cr, MI/Cr, and Glx/Cr) were measured in the basal ganglia, the frontal white matter, and gray matter, and the best predictive models were selected using a bootstrap-enhanced Akaike information criterion (AIC). Depending on the metabolite and brain region, age, race, HIV RNA concentration, ADC stage, duration of HIV infection, nadir CD4, and/or their interactions were predictive of metabolite concentrations, particularly the basal ganglia NAA/Cr and the mid-frontal NAA/Cr and Glx/Cr, whereas current CD4 and the CPE index rarely or did not predict these changes. These results show for the first time that host and viral factors related to both current and past HIV status contribute to persisting cerebral metabolite abnormalities and provide a framework for further understanding neurological injury in the setting of chronic and stable disease.

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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 %
Researcher 9 22%
Student > Master 6 15%
Student > Bachelor 5 12%
Student > Ph. D. Student 4 10%
Professor 3 7%
Other 5 12%
Unknown 9 22%
Readers by discipline Count As %
Medicine and Dentistry 7 17%
Nursing and Health Professions 5 12%
Agricultural and Biological Sciences 4 10%
Psychology 4 10%
Neuroscience 3 7%
Other 7 17%
Unknown 11 27%
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 02 April 2014.
All research outputs
#18,369,403
of 22,751,628 outputs
Outputs from Journal of NeuroVirology
#653
of 925 outputs
Outputs of similar age
#163,226
of 225,522 outputs
Outputs of similar age from Journal of NeuroVirology
#11
of 19 outputs
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