Knowledge of factors associated with medication adherence could help HIV clinicians to target persons in need of intervention, design these interventions, and help researchers to plan studies of adherence. This review summarizes the results of 20 studies investigating the issue of barriers to optimal highly active antiretroviral therapy (HAART) adherence. Only a few determinants were consistently associated with nonadherence. Symptoms and adverse drug effects, psychologic distress, lack of social or family support, complexity of the HAART regimen, low patient self-efficacy, and inconvenience of treatment were the factors most consistently associated with nonadherence. There were inconsistent findings regarding the relationship of adherence and the following variables: sociodemographic characteristics, substance abuse, depressive symptoms, quality of life, CD4+ cell count, knowledge and beliefs about treatment, patients' satisfaction with health care, and patient-provider relationship. A synthesis of findings relating various factors to adherence to HAART is difficult to reach because of several limitations of the existing body of research. These limitations concern the measurement of adherence, the assessment of correlates and predictors of adherence, the study population, and the study design.

Affective disorders have been reported as the most common mental health problem in persons with HIV infection. Depression has a significant impact on the quality of life of persons living with HIV and AIDS and is associated with HIV disease progression and mortality, even after controlling for sociodemographic and clinical characteristics and substance abuse. Depression has been also reported as one of the main causes of poor adherence with antiretroviral regimens. However, no published investigation has specifically focused on the relationship between depression and adherence to antiretroviral therapy. Nonetheless, information on the association between depressive symptoms and adherence may be gathered from investigations carried out to explore determinants of adherence with antiretroviral therapy. Findings from available studies show a substantial and consistent relationship between adherence to antiretroviral regimens and depression. Early recognition and proper management of depressive comorbidity could be an effective intervention strategy to improve adherence and may make a difference in the quality of life, social functioning, and disease course of people with HIV.

Article abstract-Objective: To identify disease patterns in AIDS-related focal brain lesions (FBL) and to design a decision-making strategy for differential diagnosis. Design: Prospective study. Probabilities of CNS disorders were calculated using Bayes9 theorem according to clinical variables (mass effect at CT or MRI, Toxoplasma serology, anti-Toxoplasma prophylaxis) and to the results of polymerase chain reaction (PCR) assays. Patients: 136 consecutive HIV-infected patients with a definitive diagnosis of FBL-causing disorder observed from 1991 to 1995 in a single clinical setting. Interventions: Patients underwent empiric anti-Toxoplasma therapy. After 3 weeks, patients with progressive/stable disease underwent brain biopsy. In 66 patients Epstein-Barr virus (EBV)-DNA, JC virus (JCV)-DNA, and T gondii-DNA amplification was performed by PCR in CSF. Diagnostic criteria were histopathologic examination of bioptic or autoptic tissue specimens for all disorders and complete/partial resolution of FBL after empiric therapy for toxoplasmic encephalitis (TE). Results: Neuroradiologic characteristics did not discriminate between TE and primary CNS lymphoma (PCNSL). Probability of TE was 0.87 in Toxoplasma-seropositive patients with mass effect who were not receiving anti-Toxoplasma prophylaxis, but only 0.59 if prophylaxis was performed. In seronegative patients with mass effect, the likelihood of PCNSL was 0.74. If EBV-DNA or T gondii-DNA tests were positive, the probability of PCNSL or TE increased to more than 0.96. The absence of T gondii-DNA did not exclude the possibility of a TE diagnosis. Among FBL without mass effect, the probability of progressive multifocal leukoencephalopathy (PML) was 0.81; this increased to 0.99 if JCV-DNA testing was positive. Sensitivity of brain biopsy was 93%, with a perioperative morbidity of 12% and a mortality of 2%. Conclusions: Due to the low diagnostic capability of clinical variables, PCR amplifications in CSF, especially for EBV-DNA and for JCV-DNA, represent, in most cases, an essential step in the differential diagnosis of AIDS-related FBL. This is particularly true in patients with FBL without mass effect or with mass effect and who are either seronegative or undergoing anti-Toxoplasma prophylaxis. Brain biopsy remains a necessary procedure in EBV-DNA-positive cases and in seronegative patients with FBL displaying a mass effect. Positive JCV-DNA testing may obviate the need for brain biopsy in patients with FBL without mass effect. An advanced diagnostic strategy based on combined clinical criteria and PCR tests may allow rapid and accurate identification of patients for prompt brain biopsy or specific therapy. NEUROLOGY 1997;48: 687-694

To establish the influence of genotypic resistance-guided treatment decisions and patient-reported adherence on the virological and immunological responses in patients failing a potent antiretroviral regimen in a randomized, controlled trial in a tertiary care infectious diseases department. A total of 174 patients with virological failure were randomly assigned to receive standard of care (SOC) or additional genotypic resistance information (G). Adherence was measured by a self-administered questionnaire. Primary endpoints were the proportion with HIV-RNA < 500 copies/ml at 3 and 6 months by intention-to-treat analysis. Secondary endpoints were changes from baseline HIV-RNA levels and CD4 cell counts. At entry, 25% had failed three or more highly active antiretroviral therapy (HAART) regimens and 41% three drug classes; there were more resistance mutations in G. In 127 evaluable questionnaires, 43% reported last missed dose during the previous week. At 3 months, 11 of 89 patients (12%) in SOC and 23 of 85 (27%) in G had HIV-RNA < 500 copies/ml (OR 2.63, 95% CI 1.12–6.26); the relative proportions were 17 and 21% at 6 months. CD4 cell changes did not differ between arms. Six month CD4 cell changes were +62 in adherent and −13 cells/μl in non-adherent patients (P < 0.01). Being assigned to G, good adherence, previous history of virological success, fewer experienced HAART regimens and lower baseline viral load were independently predictive of 3 month virological success. The virological benefit of genotype-guided treatment decisions in heavily pre-exposed patients was short term. Patients adherence and residual treatment options influenced outcomes.

Coronavirus disease 2019 (COVID-19) has afflicted tens of millions of people, fostering and unprecedent effort in vaccine development and distribution. Healthcare workers (HCW) play a key role in vaccine promotion and patient guidance, and it is likely that hesitancy among this population will have a major impact on the adoption of a successful immunization policy. To investigate HCW attitudes towards anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) vaccination, we developed an anonymous online cross-sectional survey. 1723 Italian HCW responded. Overall, 1155 (67%) intended to be vaccinated, while 443 (26%) were not sure and 125 (7%) declared refusal. In multivariate analysis, factors associated with hesitancy were using Facebook as the main information source and being a non-physician HCW, while predictors of acceptance included younger age, being in close contact with high-risk groups and having received flu vaccination during the 2019–2020 season. Reasons for hesitancy included lack of trust in vaccine safety (85%) and receiving little (78%) or conflicting (69%) information about vaccines. According to our results, adequate investment in vaccine education for healthcare personnel appears to be urgently needed, prioritizing non-physicians and information quality spread through social media. We hope that our data could help governments and policy-makers to target communication in the ongoing COVID-19 vaccination campaign.