Philipp Kohler1, Axel J Schmidt, Matthias Cavassini, Hansjakob Furrer, Alexandra Calmy, Manuel Battegay, Enos Bernasconi, Bruno Ledergerber, Pietro Vernazza. 1. aDivision of Infectious Diseases and Infection Control, Cantonal Hospital St. Gallen bDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich cCommunicable Diseases Division, Federal Office of Public Health (FOPH), Bern, Switzerland dDepartment of Social and Environmental Health Research, London School of Hygiene and Tropical Medicine, UK eDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Lausanne fUniversity Clinic of Infectious Diseases, University Hospital Bern gHIV Unit, Geneva University Hospital, Geneva hDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Basel iOspedale Regionale, Lugano, Switzerland.
Abstract
OBJECTIVES: To describe the HIV care cascade for Switzerland in the year 2012. DESIGN/ METHODS: Six levels were defined: (i) HIV-infected, (ii) HIV-diagnosed, (iii) linked to care, (iv) retained in care, (v) on antiretroviral treatment (ART), and (vi) with suppressed viral load. We used data from the Swiss HIV Cohort Study (SHCS) complemented by a nationwide survey among SHCS physicians to estimate the number of HIV-patients not registered in the cohort. We also used Swiss ART sales data to estimate the number of patients treated outside the SHCS network. Based on the number of patients retained in care, we inferred the estimates for levels (i) to (iii) from previously published data. RESULTS: We estimate that (i) 15 200 HIV-infected individuals lived in Switzerland in 2012 (margins of uncertainty, 13 400-19 300). Of those, (ii) 12 300 (81%) were diagnosed, (iii) 12 200 (80%) linked, and (iv) 11 900 (79%) retained in care. Broadly based on SHCS network data, (v) 10 800 (71%) patients were receiving ART, and (vi) 10 400 (68%) had suppressed (<200 copies/ml) viral loads. The vast majority (95%) of patients retained in care were followed within the SHCS network, with 76% registered in the cohort. CONCLUSION: Our estimate for HIV-infected individuals in Switzerland is substantially lower than previously reported, halving previous national HIV prevalence estimates to 0.2%. In Switzerland in 2012, 91% of patients in care were receiving ART, and 96% of patients on ART had suppressed viral load, meeting recent UNAIDS/WHO targets.
OBJECTIVES: To describe the HIV care cascade for Switzerland in the year 2012. DESIGN/ METHODS: Six levels were defined: (i) HIV-infected, (ii) HIV-diagnosed, (iii) linked to care, (iv) retained in care, (v) on antiretroviral treatment (ART), and (vi) with suppressed viral load. We used data from the Swiss HIV Cohort Study (SHCS) complemented by a nationwide survey among SHCS physicians to estimate the number of HIV-patients not registered in the cohort. We also used Swiss ART sales data to estimate the number of patients treated outside the SHCS network. Based on the number of patients retained in care, we inferred the estimates for levels (i) to (iii) from previously published data. RESULTS: We estimate that (i) 15 200 HIV-infected individuals lived in Switzerland in 2012 (margins of uncertainty, 13 400-19 300). Of those, (ii) 12 300 (81%) were diagnosed, (iii) 12 200 (80%) linked, and (iv) 11 900 (79%) retained in care. Broadly based on SHCS network data, (v) 10 800 (71%) patients were receiving ART, and (vi) 10 400 (68%) had suppressed (<200 copies/ml) viral loads. The vast majority (95%) of patients retained in care were followed within the SHCS network, with 76% registered in the cohort. CONCLUSION: Our estimate for HIV-infected individuals in Switzerland is substantially lower than previously reported, halving previous national HIV prevalence estimates to 0.2%. In Switzerland in 2012, 91% of patients in care were receiving ART, and 96% of patients on ART had suppressed viral load, meeting recent UNAIDS/WHO targets.
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Authors: Huldrych F Günthard; Roger D Kouyos; Teja Turk; Nadine Bachmann; Claus Kadelka; Jürg Böni; Sabine Yerly; Vincent Aubert; Thomas Klimkait; Manuel Battegay; Enos Bernasconi; Alexandra Calmy; Matthias Cavassini; Hansjakob Furrer; Matthias Hoffmann; V Aubert; M Battegay; E Bernasconi; J Böni; D L Braun; H C Bucher; A Calmy; M Cavassini; A Ciuffi; G Dollenmaier; M Egger; L Elzi; J Fehr; J Fellay; H Furrer; C A Fux; H F Günthard; D Haerry; B Hasse; H H Hirsch; M Hoffmann; I Hösli; C Kahlert; L Kaiser; O Keiser; T Klimkait; R D Kouyos; H Kovari; B Ledergerber; G Martinetti; B Martinez de Tejada; C Marzolini; K J Metzner; N Müller; D Nicca; G Pantaleo; P Paioni; A Rauch; C Rudin; A U Scherrer; P Schmid; R Speck; M Stöckle; P Tarr; A Trkola; P Vernazza; G Wandeler; R Weber; S Yerly Journal: Elife Date: 2017-09-12 Impact factor: 8.140