HIV: Reaching the 90-90-90 targets in europe

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Reaching the 90-90-90 targets in Europe Amanda Mocroft University College London [email protected]

Transcript of HIV: Reaching the 90-90-90 targets in europe

  • Reaching the 90-90-90 targets in Europe

    Amanda MocroftUniversity College London

    [email protected]

  • HIV continuum of care : A marker of quality of HIV care

    Individual health benefitso Reducing morbidity and

    mortalityo Reducing HIV drug resistance

    development/triple class ARV failure

    Public health benefitso Reduced transmissiono Containing/ending the epidemico Helps target local interventions

    Health disparities exist across Europe in HIV

    Increasing interest in comparing quality of care across countrieso Understand the variationo Identify gapso Target interventions

    Best practice; monitor own performance

    Cost-effectiveness Highlight different challenges;

    inform health policy

    HIV Continuum : 90:90:90 Quality of HIV care

  • The 4-point continuum of care for HIV

    0

    20

    40

    60

    80

    100

    Estimatedliving with HIV

    Diagnosed On ART Virallysuppressed

    %

    Stage of HIV disease

    Left hand side Right hand side

    Processes and information needed for LHS or RHS of CoC varyo Statistical modellingo Accurate surveillance

    and reporting systemso Good clinical or cohort

    data Approaches to improve %

    on LHS or RHS and thus achieve 90-90-90 are different

  • Country Countrys own estimate

    Article YearOn ART

    * Of those retained in care; Of those linked to care

    On ART and suppressed

    Switzerland Kohler AIDS 2015 2012 91% * 96% Russia Pokrovskaya HIV Glasgow 2014, JIAS

    17(Suppl 3):195062011-2013 32.6%*

    30.4% 81%

    Denmark / Sweden Helleberg PLoS ONE 2013 2010 82.8% * 74.3%Spain Diaz VI Congreso Nacional de GeSIDA 2014 2010/2013 Cohort data (CoRIS): / National

    registry data98.5% / 93.9*

    86.1% / 84.6%

    Cohort data (CoRIS): 94%National registry data: 92.9%

    Georgia Chkhartishvili HIV medicine 2015 1989-2012 68.9% *59.6%

    77.4%

    UK HIV in the United Kingdom: 2014 Report. London: Public Health England. 2014

    2013 90% 90%

    Estonia Laisaar 9th international conference in HIV treatment and prevention adherence

    (abstract 337)

    2013 87.9% *, 49.1%

    65.6%

    France Supervie CROI 2013 2010 80.8% of those in care 85.9% of those on ART >6 months

    Belgium Beckhoven BMC Infect Dis 2015 2011 84.6% * 83.4%Ukraine Kazatchkine HIV Glasgow 2014,

    JIAS 17(Suppl 3):195012012 40.6% of those in care 78.1%

    Netherlands Monitoring report 2014, HIV Infection in the Netherlands (www.hiv-monitoring.nl)

    2014 90.6% * 84.3%

    90.8%

    Ireland https://www.imo.ie/news-media/publications/JulyAugust-2015-IMJ-

    hr.pdf

    2009-2010 84.6% * 94.3%

    Romania UNAIDS/http://www.cnlas.ro/images

    /doc/30062015_eng.pdf

    2014 81.7% * 53.7%

    https://www.imo.ie/news-media/publications/JulyAugust-2015-IMJ-hr.pdfhttp://www.cnlas.ro/images/doc/30062015_eng.pdf

  • Using the EuroSIDA cohort to monitor the right hand side of the continuum

    of care

    Patients included from all EuroSIDA clinics

    A priori defined 3 time periodso 2004/05 (1/1/04 31/12/05)o 2009/10 (1/1/09 31/12/10)o 2014/15 (1/1/14 31/12/15)

    In care during time period On cART; 3 antiretrovirals Virologically suppressed (VL <

    500 cp/ml) among those on cART

    In care, but no HIV-RNA measurement in time period assessed, considered unsuppressed (missing = failure)

    Methods Definitions

  • Regions in the EuroSIDA study Western Europe (WE): Austria, Belgium, France, Germany, Luxembourg, Switzerland Southern Europe (SE): Argentina, Greece, Israel, Italy, Portugal, Spain Northern Europe (NE): Denmark, Finland, Iceland*, Ireland, Netherlands, Norway,

    Sweden, United Kingdom East Central Europe (EC): Bosnia-

    Herzegovina*,Croatia*, Czech Republic, Hungary, Poland, Romania, Serbia, Slovakia, Slovenia*

    Eastern Europe (EE): Belarus, Estonia, Georgia*, Latvia, Lithuania, Russia, Ukraine

    * only included in 2014/15 cohort, only included in 2004/05 cohort

  • Persons included

    2004/05 2009/10 2014/15

    N clinics 98 102 105

    N patients 8,978 10,463 11,975

    GenderMaleFemale

    6,688 (74.5)2,290 (25.5)

    7,539 (72.1)2,924 (27.9)

    8,649 (72.2)3,326 (27.8)

    Age, median (IQR)

    40.8 (35.4, 47.7)

    39.2 (32.4, 45.9)

    37.8 (30.2, 44.5)

    Infected viaMSM IDUHeterosexualOther

    3,761 (41.9)2,090 (23.3)2,556 (28.5)

    571 (6.4)

    4,260 (40.7)2,138 (20.4)3,352 (32.0)

    713 (6.8)

    4,571 (38.2)2,744 (22.9)3,808 (31.8)

    852 (7.1)

  • The RHS on the CoC in EuroSIDA countries : 2004 - 2005

  • The RHS on the CoC in EuroSIDA countries : 2004 - 2005

    Right hand side of 90 / 90 / 90 fulfilled in 2004/2005

    NO countries in EuroSIDA

    >90% of those under FU on cART

    >90% of those under FU on cART virologicallysuppressed

  • The RHS on the CoC in EuroSIDA countries : 2004/05, 2009/10, 2014/15

    2004/2005

    2009/2010

  • The RHS on the CoC in EuroSIDA countries : 2004/05, 2009/10, 2014/15

    2004/2005

    2009/2010

    2014/2015

  • The RHS on the CoC in EuroSIDA countries : 2004/05, 2009/10, 2014/15

    2004/2005

    2009/2010

    2014/2015

    In 2014-15, 6/35 (17%) countries reached levels of cART-coverage and virological suppression among those on cART that were above 90%. Country-specific % of cART-coverage ranged

    from 63% to 98%Country specific % of virological suppression

    ranged from 31% to 100%.

  • Strengths and weaknesses of approach

    Access to data from large number of countries

    Data from countries withoutnational registries

    Access to complete data on ART-coverage

    Standardized data collectionallows direct comparisonbetween countries

    Possibility of comparingtemporal trends

    EuroSIDA patients not necessarily representative of patients in the whole country

    On cART among those in care, rather than among those diagnosed

    Guidelines have changed over time

    Not an adherence to guidelines study

    Strengths Weaknesses

  • Where are the gaps in knowledge? Ongoing projects to understand continuums of care and how

    cohort data can supplement surveillance data

    Largely based on countries with strong national cohorts including a large proportion of persons HIV+ within country

    Data in such cohorts likely to be similar to surveillance data

    Urgent need to capture the experiences of countries that have smaller cohorts and less reliable surveillance systemo Such countries may have the largest numbers of HIV-positive persons,

    together with poorer access to antiretroviral therapy and management of HIV disease

  • Core data

    HCV coinfected CoDe

    PCV

    INSTI

    ????

    CoC

    Quality / benchmarking

    HSR reactions

    PreP

    HIV testing

    TB

    ????

  • Establishing a CoC module in RESPOND

    Establish methodology and approach for improving the monitoring of the continuum of HIV care in countries across Europe

    Explore longitudinal measures of continuums as well as the optimal definitions for viral suppression

    Focus on EU/EEA countries as well as Central Eastern and Eastern Europe, where surveillance and cohort data are more limited

    Extending the experience, collaboration and network of the EuroSIDAnetwork and the Optimising Testing and Linkage to Care for HIV in Europe (OptTEST) project

    Establish methodology, expertise and infrastructure for clinics to determine their own continuum and contribute to national and regional continuums

    Once established, methods could be adopted by any clinic or country to construct their own continuum

  • Providing technical support for establishing continuum needed at different levels at different clinics

    Network can draw on experience from CHIP as WHO collaborating Centre

    for HIV and viral hepatitis EuroSIDA network TESSy data Dublin declaration Modelling team at UCL (Phillips,

    Nakagawa) Modelling team at PHE

    Establishing PLWHIV for left hand side of continuum Workbook and Spectrum

    ECDC modelling tool

    Working with Country stakeholders Surveillance teams Public health experts Clinical experts Cohort leads National HIV or clinical data

    registries

    Establishing a CoC module in RESPOND Proof of concept for how EuroSIDA

    network can help individual clinics/countries collect better surveillance data for constructing full CoC

    Providing support and assistance to enable countries to use the ECDC modelling tool

    RESPOND will work with each clinic to have a complete overview of

    data available to identify gaps in surveillance data

    how that can be improved investigate how to provide

    data to RESPOND to enable the RHS of CoC to be established and monitored

    Linking clinic level data, knowledge and public health needs and knowledge is key

    Providing technical support for establishing continuum needed at different levels at different clinics

    Network can draw on experience from

    CHIP as WHO collaborating Centre for HIV and viral hepatitis

    EuroSIDA network

    TESSy data

    Dublin declaration

    Modelling team at UCL (Phillips, Nakagawa)

    Modelling team at PHE

    Establishing PLWHIV for left hand side of continuum

    Workbook and Spectrum

    ECDC modelling tool

    Working with

    Country stakeholders

    Surveillance teams

    Public health experts

    Clinical experts

    Cohort leads

    National HIV or clinical data registries

  • Country Clinic PLWHIV HIV Prevalence In EuroSIDA(%) N (%)

    Slovenia University Clinical Centre Ljubljana

  • Summary and perspectives

    Using EuroSIDA data, we were able to directly compare data from a large number of countries across Europe, including some with no national registries.

    For the RHS of the CoC, we found persistent between-country disparities in both the level of ART-coverage and virological suppression, and in the rate of improvement over the last decade

    Aim to expand the EuroSIDA network and work program and establish proof of concept via RESPOND in a CoC module

    Aim to help clinics and countries establish their own CoC as well as improving surveillance data

  • Acknowledgements

    The entire EuroSIDA study group; details at http://www.cphiv.dk/Studies/EuroSIDA/Study-group

    Kamilla Laut, Leah Shepherd Jens Lundgren, Dorthe Raben and Lene Ryom

    http://www.cphiv.dk/Studies/EuroSIDA/Study-group

  • Fast-track the end of AIDS in the EU practical evidence-based interventions

    Fast-track the end of AIDS in the EU

    practical evidence-based interventions

    Reaching the 90-90-90 targets in EuropeHIV continuum of care : A marker of quality of HIV care The 4-point continuum of care for HIVSlide Number 4Using the EuroSIDA cohort to monitor the right hand side of the continuum of careRegions in the EuroSIDA studySlide Number 7Slide Number 8Slide Number 9Slide Number 10Slide Number 11Slide Number 12Strengths and weaknesses of approachSlide Number 14Slide Number 15Slide Number 16Slide Number 17Slide Number 18Summary and perspectivesSlide Number 20Slide Number 21