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IntroductionIn other disease areas, generic drugs are normally used after patent expiry. Patents on zidovudine, lamivudine, nevirapine and efavirenz have already expired. Patents will expire for abacavir in late 2014, lopinavir/r in 2016, and tenofovir, darunavir and atazanavir in 2017. However, patents on single‐tablet regimens do not expire until after 2026.MethodsThe number of people taking each antiretroviral in the UK was estimated from 23,655 individuals in the UK CHIC cohort (2012 database). Costs of patented drugs were taken from the British National Formulary database, assuming a 30% discount. Costs of generic antiretrovirals were estimated using an 80% discount from patented prices, or actual costs where available. Two options were analysed: 1 – all patients use single‐tablet regimens and patented versions of drugs; prices remain stable over time; 2 – all people switch from patented to generic drugs when available, after patent expiry (dates shown above).ResultsThere were an estimated 67,000 people taking antiretrovirals in the UK in 2014, estimated to rise by 8% per year until 2018 (in line with previous rises). The most widely used antiretrovirals in the CHIC cohort were tenofovir (TDF) (75%), emtricitabine (FTC) (69%), efavirenz (EFV) (39%), lamivudine (3TC) (23%), abacavir (ABC) (18%), darunavir (DRV) (21%) and atazanavir (ATV) (16%). The predicted annual UK cost of generic ABC/3TC/EFV (three generic tablets once daily) was £1018 per person‐year. Costs of patented single‐tablet regimens ranged from £5000 to £7500 per person‐year. Assuming continued use of patented antiretrovirals in the UK, the predicted total national costs of antiretroviral treatment were predicted to rise from £425 million in 2014 to £459 m in 2015, £495 m in 2016, £536 m in 2017 and £578 m in 2018. With a 100% switch to generics, total predicted costs were £337 m in 2014, £364 m in 2015, £382 m in 2016, £144 m in 2017 and £169 m in 2018. The total predicted saving over five years from a switch to generics was £1.1 billion.ConclusionsSystematic switching from patented to generic antiretrovirals could potentially save approximately £1.1 billion in the UK over the next five years, compared with continued use of patented versions: this money could be spent on urgently needed HIV prevention programmes. Similar savings are feasible for other European countries, given parallel patent expiry dates. More detailed economic evaluation is required to show when patented single‐tablet regimens provide value for money, compared to bioequivalent generic versions of 3–4 pills once daily.

IntroductionCombination antiretroviral therapy (cART) may affect vitamin D [25(OH)D], parathyroid hormone (PTH), bone mineral density (BMD) and bone turnover (BT). Reduced BMD and secondary hyperparathyroidism have been reported with tenofovir (TDF). We investigated the associations between TDF and bone markers, especially in 25(OH)D‐deficient patients.Materials and MethodsIn a single‐centre longitudinal study investigating BMD in HIV‐positive men, serum 25(OH)D, calcium, phosphate, PTH and alkaline phosphatase (ALP) were measured. Lumbar spine, non‐dominant total hip and non‐dominant femoral neck BMD (g/cm2) were measured using dual‐energy X‐ray absorptiometry. BT was assessed by serum type 1 procollagen (P1NP) and carboxy‐terminal collagen cross‐links (CTX). Mann–Whitney U tests compared serum markers and BT, and t‐tests compared BMD according to TDF in all and 25(OH)D‐deficient patients.ResultsA total of 422 men were recruited: mean age 47 (SD 9.8) years, 94% white ethnicity, 93% MSM, diagnosed HIV positive for median 9.6 (IQR 5.0,15.5) years, median CD4 547 (IQR 411,696) cells/µL, HIV RNA <40 copies/mL in 87% (96% of those on cART). 25(OH)D (nmol/L) was normal (>75), insufficient (50–75), deficient (25–50) and severely deficient (<25) in 14%, 29%, 50% and 7%, respectively. Of 381 men on cART, 77% were currently on TDF. TDF was not associated with median calcium (p=0.69) or phosphate (p=0.52), but patients had higher (but normal) median ALP [81 (IQR 69,103) vs. 73 (IQR 60,89) IU/L, p=0.005) compared to non‐TDF cART. There was no difference in the association between vitamin D and PTH according to whether someone currently was (r=0.11, p=0.06, Figure 1) or was not using TDF (r=0.12, p=0.29, Figure 1). TDF was also not associated with PTH, BMD or BT in either all patients on cART (Table 1a) or in patients with 25(OH)D deficiency (Table 1b).ConclusionsIn this largely TDF‐experienced cohort of HIV‐positive men, there was no association between TDF and 25(OH)D deficiency, hyperparathyroidism, reduced BMD or increased BT, although patients on TDF had higher but normal ALP. We found no evidence to support additional monitoring of bone markers in patients on TDF regardless of 25(OH)D status.

AbstractIntroduction: With improved survival, adolescents with perinatal HIV (PHIV) are transitioning from paediatric to adult care, but there are few published data on clinical outcomes post‐transfer. Using linked data from patients in the national UK/Ireland paediatric cohort (CHIPS) and an adult UK cohort of outpatient clinics (UK CHIC), we describe mortality and changes in immunological status post‐transfer.Methods: Participants in CHIPS aged ≥13 years by the end of 2013 were linked to the UK CHIC database. Mixed effects models explored changes in CD4 count before and after transfer, including interactions between time and variables where interaction p < 0.05.Results: Of 1,215 paediatric participants aged ≥13 years, 271 (22%) had linked data in UK CHIC. One hundred and forty‐six (53%) were female, median age at last visit in paediatric care was 17 [interquartile range, IQR 16,18] years, median duration in paediatric care was 11.8 [6.6,15.5] years, and in adult care was 2.9 [1.5,5.9] years. At last visit in paediatric care, 74% (n = 200) were on ART, increasing to 84% (n = 228, p = 0.001) at last visit in adult care. In the 12 months before leaving paediatric care, 92 (47%) had two consecutive viral loads >400 copies/mL or one viral load >10,000 copies/mL, and likewise 102 (52%) in the 12 months post‐transfer (p = 0.79). Seven (3%) people died in adult care. In multivariable analysis, CD4 declined as patients approached transition with a greater decline in those with higher nadir CD4 count (mean rates of decline of 3, 13, 15, 30 cells/mm3 per year for those with nadir CD4 < 100, 100–199, 200–299 and ≥300 cells/mm3, respectively). Post‐transition, CD4 continued to decline in some groups (e.g. black males, −20 (−34, −5) cells/mm3 per year post transition, p = 0.007)) while it improved in others. Overall CD4 was higher with later year of birth (14 (7, 21) cells/mm3 per later year). There was no effect of age at transfer or changing hospital at transfer on CD4.Conclusions: Our findings suggest that CD4 in adolescents with perinatal HIV in the UK was declining in the period before transition to adult care, and there was some reversal in this trend post‐transfer in some groups. Across the transition period, CD4 was higher in those with later birth years, suggesting improvements in clinical care and/or transition planning over time.

Background.: The Joint United Nations Programme on HIV/AIDS (UNAIDS) has set a "90-90-90" target to curb the human immunodeficiency virus (HIV) epidemic by 2020, but methods used to assess whether countries have reached this target are not standardized, hindering comparisons. Methods.: Through a collaboration formed by the European Centre for Disease Prevention and Control (ECDC) with European HIV cohorts and surveillance agencies, we constructed a standardized, 4-stage continuum of HIV care for 11 European Union countries for 2013. Stages were defined as (1) number of people living with HIV in the country by end of 2013; (2) proportion of stage 1 ever diagnosed; (3) proportion of stage 2 that ever initiated ART; and (4) proportion of stage 3 who became virally suppressed (≤200 copies/mL). Case surveillance data were used primarily to derive stages 1 (using back-calculation models) and 2, and cohort data for stages 3 and 4. Results.: In 2013, 674500 people in the 11 countries were estimated to be living with HIV, ranging from 5500 to 153400 in each country. Overall HIV prevalence was 0.22% (range, 0.09%-0.36%). Overall proportions of each previous stage were 84% diagnosed, 84% on ART, and 85% virally suppressed (60% of people living with HIV). Two countries achieved ≥90% for all stages, and more than half had reached ≥90% for at least 1 stage. Conclusions.: European Union countries are nearing the 90-90-90 target. Reducing the proportion undiagnosed remains the greatest barrier to achieving this target, suggesting that further efforts are needed to improve HIV testing rates. Standardizing methods to derive comparable continuums of care remains a challenge.

Background.: The Joint United Nations Programme on HIV/AIDS (UNAIDS) has set a "90-90-90" target to curb the human immunodeficiency virus (HIV) epidemic by 2020, but methods used to assess whether countries have reached this target are not standardized, hindering comparisons. Methods.: Through a collaboration formed by the European Centre for Disease Prevention and Control (ECDC) with European HIV cohorts and surveillance agencies, we constructed a standardized, 4-stage continuum of HIV care for 11 European Union countries for 2013. Stages were defined as (1) number of people living with HIV in the country by end of 2013; (2) proportion of stage 1 ever diagnosed; (3) proportion of stage 2 that ever initiated ART; and (4) proportion of stage 3 who became virally suppressed (≤200 copies/mL). Case surveillance data were used primarily to derive stages 1 (using back-calculation models) and 2, and cohort data for stages 3 and 4. Results.: In 2013, 674500 people in the 11 countries were estimated to be living with HIV, ranging from 5500 to 153400 in each country. Overall HIV prevalence was 0.22% (range, 0.09%-0.36%). Overall proportions of each previous stage were 84% diagnosed, 84% on ART, and 85% virally suppressed (60% of people living with HIV). Two countries achieved ≥90% for all stages, and more than half had reached ≥90% for at least 1 stage. Conclusions.: European Union countries are nearing the 90-90-90 target. Reducing the proportion undiagnosed remains the greatest barrier to achieving this target, suggesting that further efforts are needed to improve HIV testing rates. Standardizing methods to derive comparable continuums of care remains a challenge.

Background: The Joint United Nations Programme on HIV/AIDS (UNAIDS) has set a "90-90-90" target to curb the human immunodeficiency virus (HIV) epidemic by 2020, but methods used to assess whether countries have reached this target are not standardized, hindering comparisons. Methods: Through a collaboration formed by the European Centre for Disease Prevention and Control (ECDC) with European HIV cohorts and surveillance agencies, we constructed a standardized, 4-stage continuum of HIV care for 11 European Union countries for 2013. Stages were defined as (1) number of people living with HIV in the country by end of 2013; (2) proportion of stage 1 ever diagnosed; (3) proportion of stage 2 that ever initiated ART; and (4) proportion of stage 3 who became virally suppressed (≤200 copies/mL). Case surveillance data were used primarily to derive stages 1 (using back-calculation models) and 2, and cohort data for stages 3 and 4. Results: In 2013, 674500 people in the 11 countries were estimated to be living with HIV, ranging from 5500 to 153400 in each country. Overall HIV prevalence was 0.22% (range, 0.09%-0.36%). Overall proportions of each previous stage were 84% diagnosed, 84% on ART, and 85% virally suppressed (60% of people living with HIV). Two countries achieved ≥90% for all stages, and more than half had reached ≥90% for at least 1 stage. Conclusions: European Union countries are nearing the 90-90-90 target. Reducing the proportion undiagnosed remains the greatest barrier to achieving this target, suggesting that further efforts are needed to improve HIV testing rates. Standardizing methods to derive comparable continuums of care remains a challenge. ; This work was supported by the European Centre for Disease Prevention and Control (contract number ECD.5661). ; Sí