Antiretroviral Therapy and Dyslipidaemia: Unlocking the Code

Mallon discusses a new study that describes associations between apoC-III polymorphisms and triglyceride concentrations in a large population of HIV-infected patients from a variety of ethnic backgrounds

Pain in people living with HIV and its association with healthcare resource use, well-being and functional status

Objective: We describe the prevalence of pain and its associations with healthcare resource utilisation and quality-of-life. Design: The POPPY Study recruited three cohorts: older PLWH (≥50 years, n = 699), younger demographically/lifestyle similar PLWH (<50 years, n = 374) and older demographically/lifestyle similar HIV-negative (≥50 years, n = 304) people from April 2013-February 2016. Methods: Current pain and pain-related healthcare use was collected via a self-reported questionnaire. Logistic regression assessed between-group differences in the prevalence of pain in the past month and current pain after controlling for potential confounders. Associations between current pain and healthcare resource use, reported joint problems, depressive symptoms, quality-of-life and functional status were assessed in PLWH using Mann-Whitney U and Chi-squared tests. Results: Pain in the past month was reported by 473/676 (70.0%) older PLWH, 224/357 (62.7%) younger PLWH and 188/295 (63.7%) older HIV-negative controls (p = 0.03), with current pain reported in 330 (48.8%), 134 (37.5%) and 116 (39.3%), respectively (p = 0.0007). Older PLWH were more likely to experience current pain, even after adjustment for confounders. Of those with pain in the past month, 56/412 (13.6%) had missed days of work or study due to pain, and 520 (59%) had seen a doctor about their pain. PLWH experiencing current painhad more depressive symptoms, poorer quality-of-life on all domains, and greater functional impairment, regardless of age group. Conclusions: Even in the effective ART era, pain remains common in PLWH and has a major impact on quality-of-life and associated healthcare and societal costs. Interventions are required to assist clinicians and PLWH to proactively manage pain

Defining cognitive impairment in people-living-with-HIV: the POPPY study

Background The reported prevalence of cognitive impairment (CI) varies widely in cohorts of people living with HIV (PLWH); this may partly be due to the use of different diagnostic criteria. Agreement between diagnostic criteria of CI, the optimal definition to use, and associations with patient-reported cognitive symptoms have not been fully investigated. Methods Two hundred ninety PLWH aged >50 years and 97 matched negative controls completed a detailed assessment of cognitive function and three questions regarding cognitive symptoms. Age- and education-adjusted test scores (T-scores) determined if subjects met the following definitions of CI: Frascati, global deficit score (GDS) and the multivariate normative comparison (MNC) method. Results PLWH were more likely than controls to meet each definition of CI (ORs were 2.17, 3.12 and 3.64 for Frascati, GDS and MNC, respectively). Agreement of MNC with Frascati and GDS was moderate (Cohen’s k = 0.42 and 0.48, respectively), whereas that between Frascati and GDS was good (k = 0.74). A significant association was found between all the three criteria and reporting of memory loss but not with attention and reasoning problems. The 41 (14 %) PLWH meeting all the three criteria had the lowest median global T-score (36.9) and highest rate of symptom reporting (42 %). Conclusions Different CI criteria show fair diagnostic agreement, likely reflecting their ability to exclude CI in the same group of individuals. Given the lower overall cognitive performance and higher rates of symptom reporting in those meeting all three criteria of CI, further work assessing this as a definition of CI in PLWH is justified

Individuals with obesity who survive SARS‐CoV‐2 infection have preserved antigen‐specific T cell frequencies

Objective: Obesity is a major risk factor for severe disease in COVID-19, with increased hospitalization, intensive care unit admission, and mortality. This increased impact of COVID-19 in people with obesity (PWO) is likely driven, in part, by the well-described obesity-induced immune dysregulation. Obesity has also been associated with impaired immune memory in many settings, including weakened responses to hepatitis B, tetanus, rabies, and influenza vaccination. Recently, it was reported that PWO who have COVID-19 have reduced IgG antibody titers with defective neutralizing capabilities. However, it remains unknown whether PWO generate durable T cell immunity to SARS-CoV-2. Methods: This study investigated SARS-CoV-2-specific T cell responses in a cohort of 40 patients (n = 20 PWO and n = 20 matched control individuals) who had recovered from COVID-19. T cell (CD4+, CD8+) cytokine responses (IFNγ, TNFα) to SARS-CoV-2 peptide pools (spike, membrane) were determined using multicolor flow cytometry. Results: Circulating T cells specific for SARS-CoV-2 were readily detected in the total cohort. PWO displayed comparable levels of SARS-CoV-2 spike- and membrane-specific T cells, with both T cell subsets responding. Conclusions: These data indicate that PWO who survive COVID-19 generate robust and durable SARS-CoV-2-specific T cell immunity that is equivalent to that seen in those without obesity

Defining cognitive impairment in people-living-with-HIV: the POPPY study

Background The reported prevalence of cognitive impairment (CI) varies widely in cohorts of people living with HIV (PLWH); this may partly be due to the use of different diagnostic criteria. Agreement between diagnostic criteria of CI, the optimal definition to use, and associations with patient-reported cognitive symptoms have not been fully investigated. Methods Two hundred ninety PLWH aged >50 years and 97 matched negative controls completed a detailed assessment of cognitive function and three questions regarding cognitive symptoms. Age- and education-adjusted test scores (T-scores) determined if subjects met the following definitions of CI: Frascati, global deficit score (GDS) and the multivariate normative comparison (MNC) method. Results PLWH were more likely than controls to meet each definition of CI (ORs were 2.17, 3.12 and 3.64 for Frascati, GDS and MNC, respectively). Agreement of MNC with Frascati and GDS was moderate (Cohen’s k = 0.42 and 0.48, respectively), whereas that between Frascati and GDS was good (k = 0.74). A significant association was found between all the three criteria and reporting of memory loss but not with attention and reasoning problems. The 41 (14 %) PLWH meeting all the three criteria had the lowest median global T-score (36.9) and highest rate of symptom reporting (42 %). Conclusions Different CI criteria show fair diagnostic agreement, likely reflecting their ability to exclude CI in the same group of individuals. Given the lower overall cognitive performance and higher rates of symptom reporting in those meeting all three criteria of CI, further work assessing this as a definition of CI in PLWH is justified

Sleep health and cognitive function among people with and without HIV: the use of different machine learning approaches

Study objectives We investigated associations between actigraphy-assessed sleep measures and cognitive function in people with and without HIV using different analytical approaches to better understand these associations and highlight differences in results obtained by these approaches. Methods Cognitive and 7-day/night actigraphy data were collected from people with HIV (PWH) and lifestyle-similar HIV-negative individuals from HIV and sexual health clinics in UK/Ireland. A global cognitive T-score was obtained averaging the standardized individual cognitive test scores accounting for socio-demographics. Average and standard deviation (SD) of eleven sleep measures over 7-days/nights were obtained. Rank regression, partial least-squares (PLS) regression, random forest, sleep dimension construct, and latent class analysis (LCA) were applied to evaluate associations between global T-scores and sleep measures. Results In 344 PWH (median age 57 years, 86% males), average sleep duration, efficiency and wake after sleep onset were not associated with global T-scores according to rank regression (p=0.51, p=0.09, p=0.16, respectively). In contrast, global T-scores associated with average and SD of length of nocturnal awakenings, SD of maintenance efficiency and average out-of-bed time when analyzed by PLS regression and random forest. No associations were found when using sleep dimensions or LCA. Overall, findings observed in PWH were similar to those seen in HIV-negative individuals (median age 61 years, 67% males). Conclusions Using multivariable analytical approaches, measures of sleep continuity, timing and regularity were associated with cognitive performance in PWH, supporting the utility of newer methods of incorporating multiple standard and novel measures of sleep-wake patterns in assessment of health and functioning

Changes in multimorbidity burden over a 3–5 year period among people with HIV

Introduction: As people living with HIV age, the increasing burden of multimorbidity poses a significant health challenge. The aims of this study were to identify common patterns of multimorbidity and examine changes in their burden, as well as their associations with risk factors, over a 3–5 year period in people with HIV, enrolled in the Pharmacokinetic and clinical Observations in PeoPle over fiftY (POPPY) study.Methods: Common multimorbidity patterns were identified in POPPY participants with HIV using principal component analysis, based on Somers’ D statistic. Multimorbidity burden scores were calculated for each participant/pattern at study entry/follow-up and were standardised relative to the mean in the sample at baseline (scores &gt;0 thus reflect a greater number of comorbidities relative to the mean). Two multivariable linear regression models were fitted to examine the associations between risk factors and burden z-scores at baseline and change in z-scores over a 3–5 year period.Results: Five patterns were identified among the 1073 POPPY participants with HIV {median age [interquartile range (IQR)], 52 (47–59) years; 85% male and 84% white}: Cardiovascular diseases (CVDs), Sexually transmitted diseases (STDs), Neurometabolic, Cancer and Mental-gastro-joint. The multivariable linear regression showed that older age, behavioural factors (i.e., body mass index (BMI), history of injection drug use, current recreational drug use and sex between men), and HIV-specific factors (i.e., duration since HIV diagnosis and a prior AIDS diagnosis) were associated with higher multimorbidity burden at baseline. However, only three of the factors (age, BMI and duration since HIV diagnosis) were significantly associated with an increase in burden across specific patterns over time.Discussion: Key modifiable and non-modifiable factors contributing to an increase in burden of multimorbidity were identified. Our findings may inform the development of more targeted interventions and guidelines to effectively prevent and manage the rising burden of multimorbidity in people with HIV

Risk factors and impact of patterns of co-occurring comorbidities in people living with HIV

Aims: To assess associations of comorbidity patterns observed in people living with HIV (PLWH) with risk factors and health outcomes. Methods: Common patters of comorbidities in PLWH participating in the Pharmacokinetic and Clinical Observations in People Over Fifty study were determined using principal component analysis and a severity score for each pattern was derived. Associations between each pattern's severity score and risk factors were assessed using median regression. The independent associations of patterns’ severity scores with self-reported physical and mental health (SF-36 summary scores) were assessed using linear regression, with functional impairment (Lawton IADL < 8) and hospitalization in last year using logistic regression and with number of general practitioner visits using Poisson regression. Results: A total of 1073 PLWH were analysed: 85.2% male, median (interquartile range) age 52 (47–59) years, 98% on therapy. Duration of HIV was associated with higher severity in 4/6 of patterns: cardiovascular diseases, mental health problems, metabolic disorders and chest/other infections (all P ≤ 0.001). Prior AIDS was associated with higher severity scores for the same patterns and for the pattern of cancers (P < 0.001). The pattern of cardiovascular diseases was associated with poorer physical health (P = 0.02), higher risk of functional impairment (P = 0.02) and hospitalization (P < 0.001) and with higher number of general practitioner visits (P < 0.001). Severity of mental health (all P < 0.001) and of chest/other infections patterns negatively affected all the five health outcomes. Conclusion: Common patterns of comorbidities seen in PLWH appear to have different risk factors and to differently affect health outcomes. These findings may assist the development of targeted intervention to prevent, treat and manage the increasingly prevalent multimorbidity in PLWH

Inflammatory pathways amongst people living with HIV in Malawi differ according to socioeconomic status

Background: Non-communicable diseases (NCDs) are increased amongst people living with HIV (PLWH) and are driven by persistent immune activation. The role of socioeconomic status (SES) in immune activation amongst PLWH is unknown, especially in low-income sub-Saharan Africa (SSA), where such impacts may be particularly severe. Methods: We recruited Malawian adults with CD4<100 cells/ul two weeks after starting ART in the REALITY trial (NCT01825031), as well as volunteers without HIV infection. Clinical assessment, socioeconomic evaluation, blood draw for immune activation markers and carotid femoral pulse wave velocity (cfPWV) were carried out at 2- and 42-weeks post-ART initiation. Socioeconomic risk factors for immune activation and arterial stiffness were assessed using linear regression models. Results: Of 279 PLWH, the median (IQR) age was 36 (31–43) years and 122 (44%) were female. Activated CD8 T-cells increased from 70% amongst those with no education to 88% amongst those with a tertiary education (p = 0.002); and from 71% amongst those earning less than 10 USD/month to 87% amongst those earning between 100–150 USD/month (p = 0.0001). Arterial stiffness was also associated with higher SES (car ownership p = 0.003, television ownership p = 0.012 and electricity access p = 0.029). Conversely, intermediate monocytes were higher amongst those with no education compared to a tertiary education (12.6% versus 7.3%; p = 0.01) and trended towards being higher amongst those earning less than 10 USD/month compared to 100–150 USD/month (10.5% versus 8.0%; p = 0.08). Water kiosk use showed a protective association against T cell activation (p = 0.007), as well as endothelial damage (MIP1β, sICAM1 and sVCAM1 p = 0.047, 0.026 and 0.031 respectively). Conclusions: Socioeconomic risk factors for persistent inflammation amongst PLWH in SSA differ depending on the type of inflammatory pathway. Understanding these pathways and their socioeconomic drivers will help identify those at risk and target interventions for NCDs. Future studies assessing drivers of inflammation in HIV should include an SES assessment

Inflammatory phenotypes predict changes in arterial stiffness following antiretroviral therapy initiation

Abstract Background Inflammation drives vascular dysfunction in HIV, but in low-income settings causes of inflammation are multiple, and include infectious and environmental factors. We hypothesized that patients with advanced immunosuppression could be stratified into inflammatory phenotypes that predicted changes in vascular dysfunction on ART. Methods We recruited Malawian adults with CD4 &amp;lt;100 cells/μL 2 weeks after starting ART in the REALITY trial (NCT01825031). Carotid femoral pulse-wave velocity (cfPWV) measured arterial stiffness 2, 12, 24, and 42 weeks post–ART initiation. Plasma inflammation markers were measured by electrochemiluminescence at weeks 2 and 42. Hierarchical clustering on principal components identified inflammatory clusters. Results 211 participants with HIV grouped into 3 inflammatory clusters representing 51 (24%; cluster-1), 153 (73%; cluster-2), and 7 (3%; cluster-3) individuals. Cluster-1 showed markedly higher CD4 and CD8 T-cell expression of HLADR and PD-1 versus cluster-2 and cluster-3 (all P &amp;lt; .0001). Although small, cluster-3 had significantly higher levels of cytokines reflecting inflammation (IL-6, IFN-γ, IP-10, IL-1RA, IL-10), chemotaxis (IL-8), systemic and vascular inflammation (CRP, ICAM-1, VCAM-1), and SAA (all P &amp;lt; .001). In mixed-effects models, cfPWV changes over time were similar for cluster-2 versus cluster-1 (relative fold-change, 0.99; 95% CI, .86–1.14; P = .91), but greater in cluster-3 versus cluster-1 (relative fold-change, 1.45; 95% CI, 1.01–2.09; P = .045). Conclusions Two inflammatory clusters were identified: one defined by high T-cell PD-1 expression and another by a hyperinflamed profile and increases in cfPWV on ART. Further clinical characterization of inflammatory phenotypes could help target vascular dysfunction interventions to those at highest risk