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A. Onuegbu

Researcher at Los Angeles Biomedical Research Institute

Publications -  15
Citations -  834

A. Onuegbu is an academic researcher from Los Angeles Biomedical Research Institute. The author has contributed to research in topics: Medicine & Coronary artery disease. The author has an hindex of 4, co-authored 8 publications receiving 643 citations. Previous affiliations of A. Onuegbu include UCLA Medical Center & University of California, Los Angeles.

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Journal ArticleDOI

Impact of HIV-related stigma on treatment adherence: systematic review and meta-synthesis

TL;DR: This review undertook a systematic assessment of the relationship between HIV‐related stigma and ART adherence to systematically assess the relationship with ART adherence itself.
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Comparison of mineral oil and non-mineral oil placebo on coronary plaque progression by coronary computed tomography angiography.

TL;DR: Author(s): Lakshmanan, Suvasini; Shekar, Chandana; Kinninger, April; Dahal, Suraj; Onuegbu, Afiachukwu; Cai, Andrew N; Hamal, Sajad; Birudaraju, Divya; Roy, Sion K; Nelson, John R; Budoff, Matthew J; Bhatt, Deepak L
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Association of flow mediated vasodilation and burden of subclinical atherosclerosis by coronary CTA.

TL;DR: Brachial FMD is independently associated with the presence and extent of subclinical atherosclerosis on CCTA, providing more detailed evidence that mechanistically, FMD, a surrogate marker of systemic endothelial dysfunction is a correlate of atherosclerotic burden, assessed by C CTA and CAC.
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Association of high-density lipoprotein levels with baseline coronary plaque volumes by coronary CTA in the EVAPORATE trial.

TL;DR: In a cohort of statin treated patients with known atherosclerosis and residually elevated TGL, there was a significant inverse relationship between HDL-C levels and baseline coronary plaque, TP and TNCP volumes on CCTA, and these findings provide more detailed mechanistic evidence regarding the protective role of LDL-C in coronary Atherosclerosis in a high-risk cohort.
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Harmonizing multimodality imaging results using Bayesian analysis: the case of CT coronary angiography and CT-derived fractional flow reserve

TL;DR: The tri-variable model performed better than either CCTA or CTFFR alone for all patients and for the sub-group with discordant imaging results.