Up to 50% of the people who have died from COVID-19 had metabolic and vascular disorders. Notably, there are many direct links between COVID-19 and the metabolic and endocrine systems. Thus, not only are patients with metabolic dysfunction (eg, obesity, hypertension, non-alcoholic fatty liver disease, and diabetes) at an increased risk of developing severe COVID-19 but also infection with SARS-CoV-2 might lead to new-onset diabetes or aggravation of pre-existing metabolic disorders. In this Review, we provide an update on the mechanisms of how metabolic and endocrine disorders might predispose patients to develop severe COVID-19. Additionally, we update the practical recommendations and management of patients with COVID-19 and post-pandemic. Furthermore, we summarise new treatment options for patients with both COVID-19 and diabetes, and highlight current challenges in clinical management.
COVID-19/epidemiology , COVID-19/metabolism , Disease Management , Metabolic Diseases/epidemiology , Metabolic Diseases/metabolism , Angiotensin-Converting Enzyme 2/metabolism , COVID-19/therapy , Diabetes Mellitus/epidemiology , Diabetes Mellitus/metabolism , Diabetes Mellitus/therapy , Humans , Hypertension/epidemiology , Hypertension/metabolism , Hypertension/therapy , Metabolic Diseases/therapy , Non-alcoholic Fatty Liver Disease/epidemiology , Non-alcoholic Fatty Liver Disease/metabolism , Non-alcoholic Fatty Liver Disease/therapy , Obesity/epidemiology , Obesity/metabolism , Obesity/therapy
BACKGROUND: Predictors of immuno-virologic outcomes and discordance and their associations with clinical, demographic, socio-economic and behavioral risk factors are not well described in Nigeria since HIV viral load testing is not routinely offered in public HIV treatment programs. METHODS: The HACART study was a multi-center observational clinic-based cohort study of 2585 adults who started HAART between April 2008 and February 2009. A total of 628 patients were randomly selected at 12 months for immuno-virologic analyses. RESULTS: Virologic suppression rate (<400 copies/ml) was 76.7%, immunologic recovery rate (CD4 change from baseline ≥50 cells/mm3) was 77.4% and immuno-virologic discordance rate was 33%. In multivariate logistic regression, virologic failure was associated with age <30 years (OR 1.79; 95% CI: 1.17-2.67, p=0.03), anemia (Hemoglobin < 10 g/dl) (OR 1.71; 95% CI: 1.22-2.61, p=0.03), poor adherence (OR 3.82; 95% CI: 2.17-5.97, p=0.001), and post-secondary education (OR 0.60; 95% CI: 0.30-0.86, p=0.02). Immunologic failure was associated with male gender (OR 1.46; 95% CI: 1.04-2.45, p=0.04), and age <30 years (OR 1.50; 95% CI: 1.11-2.39, p=0.03). Virologic failure with immunologic success (VL-/CD4+) was associated with anemia (OR 1.80; 95% CI: 1.13-2.88, p=0.03), poor adherence (OR 3.90; 95% CI: 1.92-8.24, p=0.001), and post-secondary education (OR 0.40; 95% CI: 0.22-0.68, p=0.005). CONCLUSIONS: Although favorable immuno-virologic outcomes could be achieved in this large ART program, immuno-virologic discordance was observed in a third of the patients. Focusing on intensified treatment preparation and adherence, young patients, males, persons with low educational status and most importantly baseline anemia assessment and management may help address predictors of poor immuno-virologic outcomes, and improve overall HIV program impact. Viral load testing in addition to the CD4 testing should be considered to identify, characterize and address negative immuno-virologic outcomes and discordance.
Anti-HIV Agents/therapeutic use , HIV Infections/drug therapy , Adult , Anemia/virology , Female , HIV Infections/immunology , HIV Infections/virology , Humans , Logistic Models , Lost to Follow-Up , Male , Middle Aged , Nigeria , Socioeconomic Factors , Treatment Outcome , Viral Load
