Publications by authors named "M Bogorodskaya"

Article Synopsis
  • This global study investigates the long-term outcomes of patients with tuberculosis (TB) and COVID-19, highlighting a lack of prior longitudinal data on this combined condition.
  • Data was collected from 788 patients across 31 countries from March 2020 to September 2022, showing a mortality rate of 10.8% during the study period.
  • Key factors influencing mortality included older age, HIV infection, and the need for invasive ventilation, with patients suffering from both diseases experiencing significantly lower survival rates compared to those with only one of the diseases.
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Introduction: Little is known about the epidemiology of coronary artery disease (CAD) in sub-Saharan Africa, where the majority of people living with HIV (PLHIV) live. We assessed the association of HIV with CAD and explored relationships with monocyte activation in sex-stratified analyses of older PLHIV and people without HIV (PWOH) in Uganda.

Methods: The Ugandan Study of HIV effects on the Myocardium and Atherosclerosis (mUTIMA) follows 100 PLHIV on antiretroviral therapy (ART) and 100 age- and sex-matched PWOH controls in Kampala, Uganda; all >45 years of age with >1 cardiovascular disease risk factor.

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Purpose Of Review: To provide the current state of the development and application of cardiovascular disease (CVD) prediction tools in people living with HIV (PLWH).

Recent Findings: Several risk prediction models developed on the general population are available to predict CVD risk, the most notable being the US-based pooled cohort equations (PCE), the Framingham risk functions, and the Europe-based SCORE (Systematic COronary Risk Evaluation). In validation studies in cohorts of PLWH, these models generally underestimate CVD risk, especially in individuals who are younger, women, Black race, or predicted to be at low/intermediate risk.

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Objectives: Cardiovascular risk is increased in people living with HIV (PLWH). In HIV-uninfected populations, total absolute monocyte count (AMC) has been shown to be predictive of future cardiovascular events (CVEs). We sought to determine whether AMC predicts CVEs in PLWH independent of established and HIV-related cardiovascular risk factors.

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