Disease progression in HIV-infected patients treated with stavudine vs. zidovudine

OUTBREAK of novel corona virus disease (COVID-19): Antecedence and aftermath

Outbreak of Coronavirus disease 2019 (COVID-19) started in mid of December 2019 and spread very rapidly across the globe within a month of its outbreak. Researchers all across the globe started working to find out its possible treatments. However, most of initiatives taken were based on various hypotheses and till date no successful treatments have been achieved. Some strategies adopted by China where existing antiviral therapy was initially used to treat COVID-19 have not given very successful results. Researchers from Thailand explored the use of combination of anti-influenza drugs such as Oseltamivir, Lopinavir and Ritonavir to treat it. In some cases, combination therapy of antiviral drugs with chloroquine showed better action against COVID-19. Some of the clinical studies showed very good effect of chloroquine and hydroxychloroquine against COVID-19, however, they were not recommended due to serious clinical toxicity. In some cases, use of rho kinase inhibitor, fasudil was found very effective. In some of the countries, antibody-based therapies have proved fairly successful. The use of BCG vaccines came in light; however, they were not found successful due to lack of full-proof mechanistic studies. In Israel as well as in other developed countries, pluristems allogeneic placental expanded cell therapy has been found successful. Some phytochemicals and nutraceuticals have also been explored to treat it. In a recent report, the use of dexamethasone was found very effective in patients suffering from COVID-19. Its effect was most striking among patients on ventilator. The research for vaccines that can prevent the disease is still going on. In light of the dynamic trends, present review focuses on etiopathogenesis, factors associated with spreading of the virus, and possible strategies to treat this deadly infection. In addition, it attempts to compile the recent updates on development of drugs and vaccines for the dreaded disease.

Self-reported body fat change in HIV-infected men is a marker of decline in physical health-related quality of life with aging, independent of co-morbidity

OBJECTIVE

Self-perception of changes in body fat among HIV+ persons is associated with decreased health related quality of life in cross-sectional studies. The longitudinal impact of body fat changes on health related quality of life, while accounting for comorbidity and anatomic location or severity of body fat changes, is unknown.

DESIGN

This was a longitudinal analysis of HIV+ and HIV- Multicenter AIDS Cohort Study (MACS) participants who completed questionnaires assessing self-perceived body fat changes (baseline visit) and a health related quality of life (Short Form-36) at baseline and then ≥5 years later.

METHODS

Relationships between body fat changes and change in Short Form-36 Physical and Mental Component Summary scores were investigated using mixed-model regression.

RESULTS

We studied 270 HIV+ and 247 HIV- men. At baseline, ≥50% of HIV+ men reported body fat changes; physical component but not mental component summary scores were lower among HIV+ men who reported moderate/severe leg or abdominal fat changes (p<0.05). At follow-up, physical component summary scores were significantly lower among men with face, leg, or abdominal fat changes compared to men without perceived fat changes (p<0.05). No significant changes were seen in mental component scores by fat change location or severity. In the final model, body fat changes at any site or severity were significant predictors of a decline in physical component summary score (p<0.05), independent of demographics or comorbidities. Mental component summary score was not associated with body fat changes, but higher mental component summary score was associated with increasing age and time.

CONCLUSIONS

Negative self-perceived body fat changes were associated with decline in physical health related quality of life, independent of comorbidities, and may be a marker of an increased risk for physical function decline with aging.

Aging and infectious diseases: do patterns of comorbidity vary by HIV status, age, and HIV severity?

Patterns of comorbidity among persons with human immunodeficiency virus (HIV) are not well described. We compared comorbidity among veterans with and without HIV infection. The sample consisted of 33,420 HIV-infected veterans and 66,840 HIV-uninfected veterans. We identified and clustered 11 comorbid conditions using validated International Classification of Diseases, 9th Revision, Clinical Modification codes. We defined multimorbidity as the presence of conditions in all clusters. Models restricted to HIV-infected veterans were adjusted for CD4 cell count and viral load. Comorbidity was common (prevalence, 60%-63%), and prevalence varied by HIV status. Differences remained when the veterans were stratified by age. In multivariable analyses, older HIV-infected veterans were more likely to have substance use disorder and multimorbidity. Renal, vascular, and pulmonary diseases were associated with CD4 cell count <200 cells/mm(3); hypertension was associated with CD4 cell count >200 cells/mm(3). Comorbidity is the rule, and multimorbidity is common among veterans with HIV infection. Patterns of comorbidity differ substantially by HIV status, age, and HIV severity. Primary care guidelines require adaptation for persons with HIV infection.

Targeting antiretroviral therapy: lessons from a longitudinal study of morbidity and treatment in relation to CD4 count in Thailand

The aim of the study was to quantify the incidence of illness and treatment behaviour in relation to CD4 count, age, and gender among a cohort of persons living with HIV/AIDS in Thailand. 464 participants with a CD4 count between 50 and 550 cells/mm3 were followed up for 12 months. Multiple Poisson regression was used to model the adjusted incidence rate ratio of illness and care seeking at different levels. The incidence of morbidity and treatment pattern were significantly different among participants with different CD4 count, age and gender. For example, morbidity incidence was significantly higher among participants with CD4 count of less than 200 cells/mm3, among female participants, and participants aged 35 years or over. Females made significantly higher use of hospital ambulatory care and private clinics than males and males made significantly more use of private pharmacies. The potential opportunity cost of not providing ART to these different groups can be estimated and used to inform further economic evaluation and policy decisions on whether to provide ART at all and which patient groups to prioritise.