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Inflammation and micronutrient biomarkers predict clinical HIV treatment failure and incident active TB in HIV-infected adults: a case-control study

Overview of attention for article published in BMC Medicine, September 2018
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Title
Inflammation and micronutrient biomarkers predict clinical HIV treatment failure and incident active TB in HIV-infected adults: a case-control study
Published in
BMC Medicine, September 2018
DOI 10.1186/s12916-018-1150-3
Pubmed ID
Authors

Rupak Shivakoti, Nikhil Gupte, Srikanth Tripathy, Selvamuthu Poongulali, Cecilia Kanyama, Sima Berendes, Sandra W. Cardoso, Breno R. Santos, Alberto La Rosa, Noluthando Mwelase, Sandy Pillay, Wadzanai Samaneka, Cynthia Riviere, Patcharaphan Sugandhavesa, Robert C. Bollinger, Ashwin Balagopal, Richard D. Semba, Parul Christian, Thomas B. Campbell, Amita Gupta, for the NWCS 319 and PEARLS Study Team

Abstract

Various individual biomarkers of inflammation and micronutrient status, often correlated with each other, are associated with adverse treatment outcomes in human immunodeficiency virus (HIV)-infected adults. The objective of this study was to conduct exploratory factor analysis (EFA) on multiple inflammation and micronutrient biomarkers to identify biomarker groupings (factors) and determine their association with HIV clinical treatment failure (CTF) and incident active tuberculosis (TB). Within a multicountry randomized trial of antiretroviral therapy (ART) efficacy (PEARLS) among HIV-infected adults, we nested a case-control study (n = 290; 124 cases, 166 controls) to identify underlying factors, based on EFA of 23 baseline (pre-ART) biomarkers of inflammation and micronutrient status. The EFA biomarker groupings results were used in Cox proportional hazards models to study the association with CTF (primary analysis where cases were incident World Health Organization stage 3, 4 or death by 96 weeks of ART) or incident active TB (secondary analysis). In the primary analysis, based on eigenvalues> 1 in the EFA, three factors were extracted: (1) carotenoids), (2) other nutrients, and (3) inflammation. In multivariable-adjusted models, there was an increased hazard of CTF (adjusted hazard ratio (aHR) 1.47, 95% confidence interval (CI)1.17-1.84) per unit increase of inflammation factor score. In the secondary incident active TB case-control analysis, higher scores of the high carotenoids and low interleukin-18 factor was protective against incident active TB (aHR 0.48, 95% CI 0.26-0.87). Factors identified through EFA were associated with adverse outcomes in HIV-infected individuals. Strategies focused on reducing adverse HIV outcomes through therapeutic interventions that target the underlying factor (e.g., inflammation) rather than focusing on an individual observed biomarker might be more effective and warrant further investigation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 12%
Student > Bachelor 15 12%
Researcher 13 11%
Other 5 4%
Professor > Associate Professor 5 4%
Other 19 16%
Unknown 49 40%
Readers by discipline Count As %
Medicine and Dentistry 28 23%
Nursing and Health Professions 10 8%
Immunology and Microbiology 9 7%
Agricultural and Biological Sciences 5 4%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 14 12%
Unknown 51 42%
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 24 September 2018.
All research outputs
#20,533,782
of 23,103,903 outputs
Outputs from BMC Medicine
#3,365
of 3,466 outputs
Outputs of similar age
#296,205
of 340,828 outputs
Outputs of similar age from BMC Medicine
#73
of 75 outputs
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