Causes of hospitalisation among a cohort of people with HIV from a London centre followed from 2011 to 2018.

BACKGROUND: We describe the spectrum of ICD-10 classified causes for hospitalisations occurring between 2011 and 2018 in a cohort of people living with HIV (PLHIV). METHODS: This sub-study includes 798 PLHIV participating in the Antiretroviral, Sexual Transmission Risk and Attitudes (ASTRA) questionnaire study who were recruited from a large London centre. A medical record review identified the occurrence and causes of hospitalisation from the date of questionnaire completion (February-December 2011) until 1 June 2018. Up to five causes were classified by an HIV clinician using the ICD-10 system. RESULTS: There were 274 hospitalisations in 153 people (rate = 5.8/100 person-years; 95% CI: 5.1, 6.5). Causes were wide-ranging; the most common were circulatory (16.8%), digestive (13.1%), respiratory (11.7%), infectious diseases (11.0%), injury/poisoning (10.6%), genitourinary diseases (9.9%) and neoplasms (9.1%). A tenth (27/274) of hospitalisations were related to at least one AIDS-defining illness. Median duration of hospitalisation was 5 days (IQR 2-9). At the time of hospitalisation, median CD4 count was high (510 cells/μl; IQR: 315-739), while median CD4 nadir was relatively low (113 cells/μl; IQR: 40-239). At admission, half of individuals (51%) had a previous AIDS-defining illness and 21% had viral load > 50 copies/ml. Individuals admitted for infectious diseases were particularly likely to have unfavourable HIV-related clinical characteristics (low CD4, viral non-suppression, not on antiretroviral therapy (ART), previous AIDS). CONCLUSIONS: In the modern combination antiretroviral therapy era, the spectrum of causes of hospitalisation in PLHIV in the UK is wide-ranging, highlighting the importance of holistic care for PLHIV, including prevention, early detection and treatment of comorbidities

Prospective association of social circumstance, socioeconomic, lifestyle and mental health factors with subsequent hospitalisation over 6-7 year follow up in people living with HIV.

BACKGROUND: Predictors of hospitalisation in people with HIV (PLHIV) in the contemporary treatment era are not well understood. METHODS: This ASTRA sub-study used clinic data linkage and record review to determine occurrence of hospitalisations among 798 PLHIV from baseline questionnaire (February to December 2011) until 1 June 2018. Associations of baseline social circumstance, socioeconomic, lifestyle, mental health, demographic and clinical factors with repeated all-cause hospitalisation from longitudinal data were investigated using Prentice-Williams-Peterson models. Associations were also assessed in 461 individuals on antiretroviral therapy (ART) with viral load ≤50 copies/ml and CD4 count ≥500 cells/ µl. FINDINGS: Rate of hospitalisation was 5.8/100 person-years (95% CI: 5.1-6.5). Adjusted for age, demographic group and time with diagnosed HIV, the following social circumstance, socioeconomic, lifestyle and mental health factors predicted hospitalisation: no stable partner (adjusted hazard ratio (aHR)=1.59; 95% CI=1.16-2.20 vs living with partner); having children (aHR=1.50; 1.08-2.10); non-employment (aHR=1.56; 1.07-2.27 for unemployment; aHR=2.39; 1.70-3.37 for sick/disabled vs employed); rented housing (aHR=1.72; 1.26-2.37 vs homeowner); not enough money for basic needs (aHR=1.82; 1.19-2.78 vs enough); current smoking (aHR=1.39; 1.02-1.91 vs never); recent injection-drug use (aHR=2.11; 1.30-3.43); anxiety symptoms (aHRs=1.39; 1.01-1.91, 2.06; 1.43-2.95 for mild and moderate vs none/minimal); depressive symptoms (aHRs=1.67; 1.17-2.38, 1.91; 1.30-2.78 for moderate and severe vs none/minimal); treated/untreated depression (aHRs=1.65; 1.03-2.64 for treated depression only, 1.87; 1.39-2.52 for depressive symptoms only; 1.53; 1.05-2.24; for treated depression and depressive symptoms, versus neither). Associations were broadly similar in those with controlled HIV and high CD4. INTERPRETATION: Social circumstance, socioeconomic disadvantage, adverse lifestyle factors and poorer mental health are strong predictors of hospitalisation in PLHIV, highlighting the need for targeted interventions and care. FUNDING: British HIV Association (BHIVA) Research Award (2017); SMR funded by a PhD fellowship from the Royal Free Charity

Association of age at ART initiation with CD4:CD8 ratio recovery among virally suppressed people living with HIV, 2001-2019

OBJECTIVE: To investigate the association of age at anti-retroviral therapy (ART) initiation with CD4:CD8 T cell ratio in virally suppressed people with HIV on long-term ART, and to characterize potential CD4:CD8 ratio recovery in this population by age. DESIGN: A longitudinal study of people attending an HIV clinic at the Royal Free Hospital NHS Trust, London, who initiated ART between 2001 and 2015, and achieved and maintained HIV-1 viral suppression (VL<100 c/mL). The association of age group at ART initiation with CD4:CD8 ratio at 5 and 10 years was assessed. METHODS: Multivariable linear regression was used to investigate the relationship between age at ART initiation and log CD4:CD8 ratio, adjusting for demographic factors (gender/HIV transmission route, ethnicity), baseline CD4 count and calendar year. RESULTS: The sample included 1859 people aged 20-78 (75% male, 56% white ethnicity). Overall, median CD4:CD8 T cell ratio increased from 0.24 at baseline to 0.77 at year 5 and 0.88 at year 10. Ratios increased among all age groups in unadjusted and adjusted models but increased less among older ages (baseline ages 60-69 and 70-79). Median ratios at year 5 were 0.85, 0.80, 0.72, 0.76, 0.6 and 0.44 respectively among people aged 20-29, 30-39, 40-49, 50-59, 60-69 and 70-79 years at baseline. CONCLUSIONS: In a virally suppressed London population, age had a substantial impact on CD4:CD8 ratio recovery, especially for those starting ART after age 60. Results may indicate the level of CD4:CD8 ratio recovery possible in an HIV positive, virally suppressed, aging population

Mortality of treated HIV-1 positive individuals according to viral subtype in Europe and Canada: collaborative cohort analysis

Objectives:To estimate prognosis by viral subtype in HIV-1-infected individuals from start of antiretroviral therapy (ART) and after viral failure.Design:Collaborative analysis of data from eight European and three Canadian cohorts.Methods:Adults (N>20000) who started triple ART between 1996 and 2012 and had data on viral subtype were followed for mortality. We estimated crude and adjusted (for age, sex, regimen, CD4(+) cell count, and AIDS at baseline, period of starting ART, stratified by cohort, region of origin and risk group) mortality hazard ratios (MHR) by subtype. We estimated MHR subsequent to viral failure defined as two HIV-RNA measurements greater than 500 copies/ml after achieving viral suppression.Results:The most prevalent subtypes were B (15419; 74%), C (2091; 10%), CRF02AG (1057; 5%), A (873; 4%), CRF01AE (506; 2.4%), G (359; 1.7%), and D (232; 1.1%). Subtypes were strongly patterned by region of origin and risk group. During 104649 person-years of observation, 1172/20784 patients died. Compared with subtype B, mortality was higher for subtype A, but similar for all other subtypes. MHR for A versus B were 1.13 (95% confidence interval 0.85,1.50) when stratified by cohort, increased to 1.78 (1.27,2.51) on stratification by region and risk, and attenuated to 1.59 (1.14,2.23) on adjustment for covariates. MHR for A versus B was 2.65 (1.64,4.28) and 0.95 (0.57,1.57) for patients who started ART with CD4(+) cell count below, or more than, 100 cells/l, respectively. There was no difference in mortality between subtypes A, B and C after viral failure.Conclusion:Patients with subtype A had worse prognosis, an observation which may be confounded by socio-demographic factors. Copyright (C) 2016 Wolters Kluwer Health, Inc. All rights reserved

Detection of drug resistance mutations at low plasma HIV-1 RNA load in a European multicentre cohort study

Guidelines indicate a plasma HIV-1 RNA load of 500-1000 copies/mL as the minimal threshold for antiretroviral drug resistance testing. Resistance testing at lower viral load levels may be useful to guide timely treatment switches, although data on the clinical utility of this remain limited. We report here the influence of viral load levels on the probability of detecting drug resistance mutations (DRMs) and other mutations by routine genotypic testing in a large multicentre European cohort, with a focus on tests performed at a viral load <1000 copies/mL