Association of CD4:CD8 ratio with non- AIDS morbidity in cart treated individuals

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Transcriptie:

Association of with non- AIDS morbidity in cart treated individuals Luuk Gras, Colette Smit, Ferdinand Wit, Sander van Assen, Joop Arends, Kees Brinkman, Margaret May, Jan Prins, Peter Reiss, on behalf of the ATHENA cohort IWHOD 2015, Catania, 27 March

Background Low in HIV-negative elderly has been associated with mortality. Low in HIV-infection has been associated with risk of AIDS, non-aids mortality and morbidity, and lung cancer, when CD4 cell counts 350 or 500. Serrano-Villar PLOS Pathogens 2014, May CROI 2015, Sigel CROI 2015. correlates with markers of immune senescence. CD4:CD8 slowly improves during virological successful cart; Reaching may take very long. Pantazis, poster 105. Goal: To investigate the independent association between the and specific non-aids morbidity in HIV-1 infected individuals after starting cart. 1

Methods HIV-1 infected individuals starting cart or on cart at baseline were selected from the ATHENA cohort. Baseline: date of the start of cart, June 2000 (start of routine data collection of non-aids morbidity endpoints), or the date CD4:CD8 ratios were first available, whichever came last. 2

Methods HIV-1 infected individuals starting cart or on cart at baseline were selected from the ATHENA cohort. Baseline: date of the start of cart, June 2000 (start of routine data collection of non-aids morbidity endpoints), or the date CD4:CD8 ratios were first available, whichever came last. 1 Start CD4:CD8 collection June 2000 baseline Start cart 2

Methods HIV-1 infected individuals starting cart or on cart at baseline were selected from the ATHENA cohort. Baseline: date of the start of cart, June 2000 (start of routine data collection of non-aids morbidity endpoints), or the date CD4:CD8 ratios were first available, whichever came last. 1 2 Start CD4:CD8 collection June 2000 Start cart June 2000 baseline Start cart baseline Start CD4:CD8 collection 2

Methods HIV-1 infected individuals starting cart or on cart at baseline were selected from the ATHENA cohort. Baseline: date of the start of cart, June 2000 (start of routine data collection of non-aids morbidity endpoints), or the date CD4:CD8 ratios were first available, whichever came last. 1 2 Start CD4:CD8 collection June 2000 Start cart June 2000 baseline Start cart baseline Start CD4:CD8 collection 3 Start CD4:CD8 baseline collection Start cart June 2000 2

Methods HIV-1 infected individuals starting cart or on cart at baseline were selected from the ATHENA cohort. Baseline: date of the start of cart, June 2000 (start of routine data collection of non-aids morbidity endpoints), or the date CD4:CD8 ratios were first available, whichever came last. 1 Start CD4:CD8 collection June 2000 baseline Start cart 27% 2 Start cart June 2000 baseline Start CD4:CD8 collection 68% 3 Start CD4:CD8 baseline collection Start cart June 2000 5% N=11,216 2

Methods Endpoints: 1. non-aids malignancies (excl. precancerous stages of anal cancer, basal-cell carcinoma, and squamous-cell carcinoma of the skin; incl. Castleman s disease).* 2. cardiovascular disease (myocardial infarction, stroke and coronary artery by-pass grafting, coronary angioplasty or stenting and carotid endarterectomy)*. 3. diabetes mellitus*. 4. combined endpoint (first of any of 1, 2 or 3). Patients with endpoints prior to baseline were excluded from that particular analysis. * Using the criteria established by the D:A:D: Study 3

Methods Follow-up time after baseline divided into 3-monthly periods. For each endpoint 3 Poisson regression models were fitted: 1. Only including latest available, lagged by 3 months (,,, and ). 2. Adjusted for: time updated CD4 cell count, gender, region of birth, HIV-1 transmission risk group, time-updated age, known time spent with <200 CD4 cells/mm 3, known time spent with HIV RNA >1000 copies/ml, last available viral load, time updated AIDS, hypertension, HBV and HCV co-infection, smoking and time-updated cumulative exposure to various antiretroviral drugs and drug classes (depending on the endpoint). 3. As under 2, but also interaction between and CD4 cell count. 4

Characteristics at baseline, n=11,216 Therapy naïve when cart was started, % 87.8 Age, years, median (IQR) 40.8 (34.3-47.8) Gender, % Male 82.3 Region of origin, % Risk group, % W-Europe/N-America Sub Sahara Africa MSM Heterosexual 65.9 14.0 62.8 29.1 HCV + *, % 3.7 HBV + **, % 5.6 CD4 cell count, cells/mm 3, median (IQR) 390 (260-550) CD8 cell count, cells/mm 3, median (IQR) 990 (700-1370), median (IQR) 0.40 (0.24-0.60) Year of starting ART, median (IQR) 2005 (1999-2010) pvl, % <400 among those >1yr after start cart 86.9 Current smoker, % 38.6 * HCV: positive HCV RNA, if not available positive Ab; ** HBV: positive hepatitis B surface antigen, 5

Crude incidence of non-aids morbidity by CD4 cell count CD4 cell count CD4 cell count CD4 cell count CD4 cell count 11 6

Crude incidence of non-aids morbidity by CD4 cell count and CD4 cell count CD4 cell count CD4 cell count CD4 cell count 6

Crude incidence of non-aids morbidity by CD4 cell count and CD4 cell count PY follow-up <200 4,453 200-350 10,533 350-500 16,288 500 36,452 CD4:CD8 ratio 9,763 16,002 31,593 1 11,121 CD4 cell count CD4 cell count CD4 cell count CD4 cell count 6

Correlation between CD4 cell count and at baseline Rho=0.65 Poster 106 Adam Trickey 7

Association of time-updated with non-aids diseases, adjusted for CD4 cell count and other risk factors 8

Association of time-updated with non-aids diseases, adjusted for CD4 cell count and other risk factors 8

Association of time-updated with non-aids diseases, adjusted for CD4 cell count and other risk factors 8

Sensitivity analysis Excluding 18 liver related malignancies 10

Sensitivity analysis CD4 cell count cutoff of 350 (instead of 500 cells/mm 3 ) 9

Sensitivity analysis Time updated variables lagged 6 months (instead of 3) 11

Limitations Association causality Wide confidence intervals; results need validation in a larger cohort 12

Conclusion Having a whilst having 500 CD4 cells/mm 3 was associated with a significantly increased risk of cardiovascular disease, non-aids malignancies and diabetes mellitus when compared to having a ratio. The may be useful in identifying a subset of patients with adequate CD4 responses on treatment who may benefit most from novel anti-inflammatory/immune-based interventions aimed at further reducing the risk of these morbidities. 13

Conclusion Having a whilst having 500 CD4 cells/mm 3 was associated with a significantly increased risk of cardiovascular disease, non-aids malignancies and diabetes mellitus when compared to having a ratio. The may be useful in identifying a subset of patients with adequate CD4 responses on treatment who may benefit most from novel anti-inflammatory/immune-based interventions aimed at further reducing the risk of these morbidities. Future work: Associations in virological suppressed patients? At which CD4 cell count and thresholds does the risk of non-aids morbidity increase? 13

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