Publications (84) View all
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Article: Life expectancy of HIV-1-positive individuals approaches normal conditional on response to antiretroviral therapy: UK Collaborative HIV Cohort Study.
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ABSTRACT: Life expectancies (LEs) of patients in UK Collaborative HIV Cohort (UK CHIC) stratified by CD4 count at start of antiretroviral therapy (ART) have been estimated [1] but not gains in years of life in response to ART. We estimated LE associated with attained CD4 count and viral suppression at different durations of ART. Patients in UK CHIC aged > 20 years who started ART in 2000 to 2008 (excluding person who injects drugs) were followed to end of 2010. All-cause mortality was ascertained from clinic notes and by linkage to national records. We used the nearest CD4 count before ART and the last in each of years 1 to 5 of ART and determined whether patients were virally suppressed (HIV-1 RNA < 400 copies/mL) in the past year for those remaining under follow-up. Poisson models were used to estimate mortality rates by sex, age, latest CD4 count (<200, 200 to 349,≥350) and viral suppression for each duration of ART. Abridged life tables were constructed from age-specific mortality rates to estimate LE for ages 20 to 85 years. Results are presented as the average number of years that will be lived after exact age 35 years. A total of 17,021 patients started ART from 2000 to 2008 of whom 708 (4.2%) died; 3956 (23%) were lost to study follow-up. There was no difference in mortality between those with attained CD4 350 to 499 and ≥ 500. On starting ART, male LE at exact age 35 was 36, 44 and 42 (female LE 38, 46 and 44) years for attained CD4 < 200, 200 to 349,≥350, respectively; after 5 years on ART, it was 22, 42 and 46 (female LE 27, 46 and 51) years, respectively. Only 17% of patients had CD4 ≥ 350 at ART start, compared with 78% of patients on ART for > 5 years. The difference in LE between suppressed versus unsuppressed patients was around 11 years. The figure shows that both CD4 count and viral suppression contribute to changes in LE. Male patients that increased their CD4 in the 1st year of ART from < 200 to 200-349 or ≥ 350 gained 6 and 11 years of LE to 42 and 48 years, respectively, with similar rises for women. Overall, LE was 4 years greater for those on ART for > 5 years compared with those starting ART. Individuals that attain viral suppression and a CD4 count > 350 within 1 year of ART start have a normal LE with 35-year olds estimated to live to over 80 years on average. LE in patients with CD4 count < 200 beyond 5 years on ART drops by 15 years. Estimated LE may be biased by under-ascertainment of deaths, missing CD4 measurements and extrapolation beyond available data.Journal of the International AIDS Society 01/2012; 15(6):18078. · 3.26 Impact Factor -
Article: Non-uptake of highly active antiretroviral therapy among patients with a CD4 count < 350 cells/μL in the UK.
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ABSTRACT: Current British HIV Association (BHIVA) guidelines recommend that all patients with a CD4 count <350 cells/μL are offered highly active antiretroviral therapy (HAART). We identified risk factors for delayed initiation of HAART following a CD4 count <350 cells/μL. All adults under follow-up in 2008 who had a first confirmed CD4 count <350 cells/μL from 2004 to 2008, who had not initiated treatment and who had >6 months of follow-up were included in the study. Characteristics at the time of the low CD4 cell count and over follow-up were compared to identify factors associated with delayed HAART uptake. Analyses used proportional hazards regression with fixed (sex/risk group, age, ethnicity, AIDS, baseline CD4 cell count and calendar year) and time-updated (frequency of CD4 cell count measurement, proportion of CD4 counts <350 cells/μL, latest CD4 cell count, CD4 percentage and viral load) covariates. Of 4871 patients with a confirmed low CD4 cell count, 436 (8.9%) remained untreated. In multivariable analyses, those starting HAART were older [adjusted relative hazard (aRH)/10 years 1.15], were more likely to be female heterosexual (aRH 1.13), were more likely to have had AIDS (aRH 1.14), had a greater number of CD4 measurements < 350 cells/μL (aRH/additional count 1.18), had a lower CD4 count over follow-up (aRH/50 cells/μL higher 0.57), had a lower CD4 percentage (aRH/5% higher 0.90) and had a higher viral load (aRH/log(10) HIV-1 RNA copies/ml higher 1.06). Injecting drug users (aRH 0.53), women infected with HIV via nonsexual or injecting drug use routes (aRH 0.75) and those of unknown ethnicity (aRH 0.69) were less likely to commence HAART. A substantial minority of patients with a CD4 count < 350 cells/μL remain untreated despite its indication.HIV Medicine 11/2011; 13(1):73-8. · 3.01 Impact Factor -
Article: Hepatitis E virus coinfection in patients with HIV infection.
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ABSTRACT: Hepatitis E virus (HEV) infection is an emerging infection in developed countries and is thought to be a porcine zoonosis. HEV can cause chronic infection and cirrhosis in the immunosuppressed, including patients with HIV infection. Little is known about HEV and HIV coinfection. The aim of the study was to document the incidence of chronic HEV coinfection in patients with HIV infection and to determine the anti-HEV seroprevalence and compare it with that of a control population. A cohort/case-control study was carried out in two teaching hospitals in southwest England. A total of 138 patients with HIV infection were tested for HEV using an immunoassay for anti-HEV immunoglobulin M (IgM) and IgG and reverse transcriptase-polymerase chain reaction (RT-PCR), and 464 control subjects were tested for anti-HEV IgG. Demographic, lifestyle and laboratory data were prospectively collected on each patient with HIV infection. The anti-HEV IgG seroprevalence in patients with HIV infection was compared with that in controls and demographic risk factors for HEV exposure were explored using logistic regression models. There was no difference in anti-HEV IgG seroprevalence between the HIV-infected patients and controls. The only risk factor predictive of anti-HEV seropositivity was the consumption of raw/undercooked pork; sexual risk factors were unrelated. No patient with HIV infection had evidence of chronic coinfection with HEV CONCLUSIONS: Anti-HEV seroprevalence is similar in controls and patients with HIV infection. Risk factor analysis suggests that HEV is unlikely to be transmitted sexually. Chronic coinfection with HEV was absent, indicating that chronic HEV/HIV coinfection is not a common problem in this cohort.HIV Medicine 08/2011; 13(1):83-8. · 3.01 Impact Factor -
Article: Long-term trends in CD4 cell counts and impact of viral failure in individuals starting antiretroviral therapy: UK Collaborative HIV Cohort (CHIC) study.
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ABSTRACT: The aim of the study was to describe trends in CD4 cell counts in HIV-infected patients after initiation of combination antiretroviral therapy (cART), according to CD4 cell count at initiation (baseline), and to quantify the implications of virological failure for these trends. Eligible participants from the UK Collaborative HIV Cohort (CHIC) were antiretroviralnaïve and started cART after 1997. Random effects were used to model CD4 cell count trends, accounting for multiple measurements within participants. We assessed whether CD4 cell count trends varied according to baseline CD4 cell count and separately in participants with and without post-cART virological failure. Effects of post-cART virological failure (>1000 HIV-1 RNA copies/mL) on subsequent CD4 cell counts were evaluated. A total of 7069 participants were included in the analysis (median follow-up in all baseline CD4 cell count groups was ≥ 35 months). Among participants without virological failure ≥ 6 months after the start of cART, CD4 cell counts continued to increase up to 8 years, with little evidence that differences between baseline CD4 cell count groups diminished over time. Virological failure ≥ 6 months after the start of cART was associated with lower subsequent CD4 cell counts, with greater CD4 cell count reduction for more recent virological failure and higher viral load. Post-cART CD4 cell counts are strongly related to pre-cART CD4 cell counts. CD4 cell count recovery is greatest in individuals who can avoid viral loads >1000 copies/mL while on cART.HIV Medicine 05/2011; 12(10):583-93. · 3.01 Impact Factor -
Article: Antiretroviral therapy CNS penetration and HIV-1-associated CNS disease.
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ABSTRACT: The impact of different antiretroviral agents on the risk of developing or surviving CNS disease remains unknown. The aim of this study was to investigate whether using antiretroviral regimens with higher CNS penetration effectiveness (CPE) scores was associated with reduced incidence of CNS disease and improved survival in the UK Collaborative HIV Cohort (CHIC) Study. Adults without previous CNS disease, who commenced combination antiretroviral therapy (cART) between 1996 and 2008, were included (n = 22,356). Initial and most recent cART CPE scores were calculated. CNS diseases were HIV encephalopathy (HIVe), progressive multifocal leukoencephalopathy (PML), cerebral toxoplasmosis (TOXO), and cryptococcal meningitis (CRYPTO). Incidence rates and overall survival were stratified by CPE score. A multivariable Poisson regression model was used to identify independent associations. The median (interquartile range) CPE score for initial cART regimen increased from 7 (5-8) in 1996-1997 to 9 (8-10) in 2000-2001 and subsequently declined to 6 (7-8) in 2006-2008. Differences in gender, HIV acquisition risk group, and ethnicity existed between CPE score strata. A total of 251 subjects were diagnosed with a CNS disease (HIVe 80; TOXO 59; CRYPTO 56; PML 54). CNS diseases occurred more frequently in subjects prescribed regimens with CPE scores ≤ 4, and less frequently in those with scores ≥ 10; however, these differences were nonsignificant. Initial and most recent cART CPE scores ≤ 4 were independently associated with increased risk of death. Clinical status at time of commencing cART influences antiretroviral selection and CPE score. This information should be considered when utilizing CPE scores for retrospective analyses.Neurology 02/2011; 76(8):693-700. · 8.31 Impact Factor
