1887
Research article Open Access
Like 0

Abstract

Background and aims

Late HIV diagnosis is associated with onward HIV transmission, higher morbidity, mortality and healthcare costs. In Italy, more than half of people living with HIV were diagnosed late during the last decade, with a CD4 count < 350 cells/mm3 at diagnosis. We aimed to determine the number and characteristics of people living with undiagnosed HIV infection and low CD4 counts in Italy. Data on newly reported HIV diagnoses from 2012 –2014 were obtained from the national HIV surveillance system. We used the European Centre for Disease Prevention and Control HIV modelling tool to calculate the undiagnosed prevalence and yearly diagnosed fraction (YDF) in people with low CD4 count. The estimated annual number undiagnosed HIV infections with low CD4 count was on average 6,028 (95% confidence interval (CI): 4,954–8,043) from 2012–2014. In 2014, most of the undiagnosed people with low CD4 count were men (82.8%), a third acquired HIV through sex between men (MSM) (35.0%), and heterosexual transmission (33.4%), respectively. The prevalence of undiagnosed HIV infection was 11.3 (95% CI: 9.3–14.9) per 100,000 residents ranging from 0.7 to 20.8 between Italian regions. Nationally the prevalence rate was 280.4 (95% CI: 173.3–450.2) per 100,000 MSM, 8.3 (95% CI: 4.9–13.6) per 100,000 heterosexual men, and 3.0 (95% CI: 1.4–5.6) per 100,000 women. The YDF was highest among heterosexual women (27.1%; 95% CI: 16.9–45.2%). These findings highlight the importance of improving efforts to identify undiagnosed HIV infections primarily among men, both MSM and heterosexual men.

Loading

Article metrics loading...

/content/10.2807/1560-7917.ES.2018.23.15.17-00240
2018-04-12
2024-04-25
http://instance.metastore.ingenta.com/content/10.2807/1560-7917.ES.2018.23.15.17-00240
Loading
Loading full text...

Full text loading...

/deliver/fulltext/eurosurveillance/23/15/eurosurv-23-15-4.html?itemId=/content/10.2807/1560-7917.ES.2018.23.15.17-00240&mimeType=html&fmt=ahah

References

  1. European Centre for Disease Prevention and Control (ECDC) / World Health Organization Regional Office for Europe (WHO). HIV/AIDS surveillance in Europe 2015. Stockholm: ECDC; 2016. Available from: http://ecdc.europa.eu/en/publications/Publications/HIV-AIDS-surveillance-Europe-2015.pdf
  2. The late presenters working group in COHERE in EuroCoord. Late presentation for HIV care across Europe: update from the Collaboration of Observational HIV Epidemiological Research Europe (COHERE) study, 2010 to 2013. Euro Surveill. 2015;20(47):30070.
  3. Centers for Disease Control and Prevention (CDC). HIV Surveillance Report, 2014; vol. 26. Atlanta: CDC; Nov 2015. Available from: https://www.cdc.gov/hiv/library/reports/hiv-surveillance.html
  4. Camoni L, Raimondo M, Regine V, Salfa MC, Suligoi Bregional representatives of the HIV Surveillance System. Late presenters among persons with a new HIV diagnosis in Italy, 2010-2011. BMC Public Health. 2013;13(1):281.  https://doi.org/10.1186/1471-2458-13-281  PMID: 23537210 
  5. Raimondo M, Boros S, Regine V, Pugliese L, Santaquilani M, Ferri M, et al. Aggiornamento nuove diagnosi di infezione HIV e dei casi di AIDS 2015. [Updating of new diagnoses of HIV infection and AIDS cases in Italy at December 31, 2015]. Not Ist Super Sanità. 2016; 29(9) Suppl 1. Italian. Available from: http://www.iss.it/publ/index.php?lang=1&id=3003&tipo=4
  6. Girardi E, Sabin CA, Monforte AD. Late diagnosis of HIV infection: epidemiological features, consequences and strategies to encourage earlier testing. J Acquir Immune Defic Syndr. 2007;46(Suppl 1):S3-8.  https://doi.org/10.1097/01.qai.0000286597.57066.2b  PMID: 17713423 
  7. Platten M, Linnemann R, Kümmerle T, Jung N, Wyen C, Ehren K, et al. Clinical course and quality of care in ART-naïve patients newly presenting in a HIV outpatient clinic. Infection. 2014;42(5):849-57.  https://doi.org/10.1007/s15010-014-0646-9  PMID: 24965613 
  8. Wong NS, Wong KH, Lee MP, Tsang OTY, Chan DPC, Lee SS. Estimation of the undiagnosed intervals of HIV-Infected people by a modified back-calculation method for reconstructing the epidemic curves. PLoS One. 2016;11(7):e0159021.  https://doi.org/10.1371/journal.pone.0159021  PMID: 27403882 
  9. Quinn TC, Wawer MJ, Sewankambo N, Serwadda D, Li C, Wabwire-Mangen F, et al. Rakai Project Study Group. Viral load and heterosexual transmission of human immunodeficiency virus type 1. N Engl J Med. 2000;342(13):921-9.  https://doi.org/10.1056/NEJM200003303421303  PMID: 10738050 
  10. Mammone A, Pezzotti P, Regine V, Camoni L, Puro V, Ippolito G, et al. How many people are living with undiagnosed HIV infection? An estimate for Italy, based on surveillance data. AIDS. 2016;30(7):1131-6.  https://doi.org/10.1097/QAD.0000000000001034  PMID: 26807973 
  11. Op de Coul EL, Schreuder I, Conti S, van Sighem A, Xiridou M, Van Veen MG, et al. Changing Patterns of Undiagnosed HIV Infection in the Netherlands: Who Benefits Most from Intensified HIV Test and Treat Policies? PLoS One. 2015;10(7):e0133232. doi:  https://doi.org/10.1371/journal.pone.0133232 . eCollection 2015.
  12. Lodwick RK, Nakagawa F, van Sighem A, Sabin CA, Phillips AN. Use of surveillance data on HIV diagnoses with HIV-related symptoms to estimate the number of people living with undiagnosed HIV in need of antiretroviral therapy. PLoS One. 2015;10(3):e0121992.  https://doi.org/10.1371/journal.pone.0121992  PMID: 25768925 
  13. European Centre for Disease Prevention and Control (ECDC). HIV modelling tool. Stockholm: ECDC; 14 Sep 2015. Available from: https://ecdc.europa.eu/en/publications-data/hiv-modelling-tool
  14. Italian Ministry of Health. Decreto Ministeriale 31 marzo 2008. Istituzione del sistema di sorveglianza delle nuove diagnosi di infezioni da HIV. [Establishment of the surveillance system for new diagnoses of HIV infection]. Gazzetta Ufficiale n. 175, 28 July 2008. Italian. Available from: http://old.iss.it/binary/ccoa/cont/7_DECRETO_31_marzo_2008.pdf
  15. Camoni L, Raimondo M, Dorrucci M, Regine V, Salfa MC, Suligoi BCARPHA Study Group. Estimating minimum adult HIV prevalence: a cross-sectional study to assess the characteristics of people living with HIV in Italy. AIDS Res Hum Retroviruses. 2015;31(3):282-7.  https://doi.org/10.1089/aid.2014.0154  PMID: 25432098 
  16. Istituto Nazionale di Statistica (ISTAT). Demografia in Cifre. [Demography in figures]. Rome: ISTAT. [Accessed 28 Jun 2017]. Italian. Available from: http://www.demo.istat.it/
  17. Little RJA, Rubin DB. Statistical Analysis with Missing Data. 2nd ed. New York: Wiley; 2002.
  18. Sasse A. Letter to the editor: New metrics to monitor progress towards global HIV targets: using the estimated number of undiagnosed HIV-infected people as denominator. Euro Surveill. 2016 Dec 15;21(50). pii: 30424. doi:  https://doi.org/10.2807/1560-7917.ES.2016.21.50.30424 
  19. Marcus U, Hickson F, Weatherburn P, Schmidt AJEMIS Network. Estimating the size of the MSM populations for 38 European countries by calculating the survey-surveillance discrepancies (SSD) between self-reported new HIV diagnoses from the European MSM internet survey (EMIS) and surveillance-reported HIV diagnoses among MSM in 2009. BMC Public Health. 2013;13(1):919.  https://doi.org/10.1186/1471-2458-13-919  PMID: 24088198 
  20. Istituto Nazionale di Statistica (ISTAT). [The homosexual population in Italian society]. Statistiche. Report Anno 2011. Italian. Available from: http://www.istat.it/it/archivio/62168
  21. Grazzini G, Raimondo M, Facco G, Regine V, Pupella S, Piccinini V, et al. A cross-sectional study among blood donors on sexual risk behaviors for HIV infection. Vox Sang. 2015;109(Suppl. 1):228-9.
  22. Supervie V, Ndawinz JD, Lodi S, Costagliola D. The undiagnosed HIV epidemic in France and its implications for HIV screening strategies. AIDS. 2014;28(12):1797-804.  https://doi.org/10.1097/QAD.0000000000000270  PMID: 24681416 
  23. Dorrucci M, Regine V, Pezzotti P, Suligoi B, Mammone A, Girardi E. “Stima della proporzione di inconsapevoli del rischio di HIV in Italia: analisi dei dati del sistema di sorveglianza HIV”. Approfondimenti in: Regine V, Pugliese L, Boros S, Santaquilani M, Ferri M, Suligoi B. Aggiornamento delle nuove diagnosi di infezione da HIV e dei casi di AIDS in Italia al 31 dicembre 2016. Not Ist Super Sanità. 2017; 30(9) Suppl 1:17-18. Available from: http://old.iss.it/publ/index.php?lang=1&id=3087&tipo=4
  24. Clifton S, Nardone A, Field N, Mercer CH, Tanton C, Macdowall W, et al. HIV testing, risk perception, and behaviour in the British population. AIDS. 2016;30(6):943-52.  https://doi.org/10.1097/QAD.0000000000001006  PMID: 26963528 
  25. Hall HI, An Q, Tang T, Song R, Chen M, Green T, et al. Prevalence of Diagnosed and Undiagnosed HIV Infection--United States, 2008-2012. MMWR Morb Mortal Wkly Rep. 2015;64(24):657-62. PMID:26110835
  26. Pharris A, Quinten C, Noori T, Amato-Gauci AJ, van Sighem AECDC HIV/AIDS Surveillance and Dublin Declaration Monitoring Networks. Estimating HIV incidence and number of undiagnosed individuals living with HIV in the European Union/European Economic Area, 2015. Euro Surveill. 2016;21(48):30417.  https://doi.org/10.2807/1560-7917.ES.2016.21.48.30417  PMID: 27934585 
  27. Sonnenberg P, Clifton S, Beddows S, Field N, Soldan K, Tanton C, et al. Prevalence, risk factors, and uptake of interventions for sexually transmitted infections in Britain: findings from the National Surveys of Sexual Attitudes and Lifestyles (Natsal). Lancet. 2013;382(9907):1795-806.  https://doi.org/10.1016/S0140-6736(13)61947-9  PMID: 24286785 
  28. Fernàndez-López L, Reyes-Urueña J, Agustí C, Kustec T, Klavs I, Casabona C; COBATEST Network group. The COBATEST network: a platform to perform monitoring and evaluation of HIV community-based testing practices in Europe and conduct operational research. AIDS Care. 2016;28(sup1) Suppl 1;32-6. http://dx.doi.org/ https://doi.org/10.1080/09540121.2016.1146218 PMID:26883807
  29. Tao G, Hoover KW. Differences in access to healthcare and utilisation of HIV and sexually transmissible infection services between men who have sex with men and men who have sex only with women: results of the 2006-10 National Survey of Family Growth in the United States. Sex Health. 2013;10(4):363-8.  https://doi.org/10.1071/SH13017  PMID: 23806743 
  30. Giuliani M, Vescio MF, Latini A, Palamara G, Pimpinelli F, Dona MG, et al. Continuous increase in HIV-1 incidence after the year 2000 among men who have sex with men in Rome: insights from a 25-year retrospective cohort study. Euro Surveill. 2014;19(47):20969.  https://doi.org/10.2807/1560-7917.ES2014.19.47.20969  PMID: 25443035 
  31. Le Vu S, Le Strat Y, Barin F, Pillonel J, Cazein F, Bousquet V, et al. Population-based HIV-1 incidence in France, 2003-08: a modelling analysis. Lancet Infect Dis. 2010;10(10):682-7.  https://doi.org/10.1016/S1473-3099(10)70167-5  PMID: 20832367 
  32. Meireles P, Lucas R, Carvalho C, Fuertes R, Brito J, Campos MJ, et al. Incident risk factors as predictors of HIV seroconversion in the Lisbon cohort of men who have sex with men: first results, 2011-2014. Euro Surveill. 2015;20(14):21091.  https://doi.org/10.2807/1560-7917.ES2015.20.14.21091  PMID: 25884151 
  33. Yin Z, Brown AE, Hughes G, Nardone A, Gill ON, Delpech VC, et al. HIV in the United Kingdom 2014 Report: data to end 2013. London: Public Health England. Nov 2014. Available from: https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/401662/2014_PHE_HIV_annual_report_draft_Final_07-01-2015.pdf
  34. Ferrer L, Furegato M, Foschia JP, Folch C, González V, Ramarli D, et al. Undiagnosed HIV infection in a population of MSM from six European cities: results from the Sialon project. Eur J Public Health. 2015;25(3):494-500.  https://doi.org/10.1093/eurpub/cku139  PMID: 25161202 
  35. Mirandola M, Gios L, Joanna Davis R, Furegato M, Breveglieri M, Folch C, et al. Socio-demographic factors predicting HIV test seeking behaviour among MSM in 6 EU cities. Eur J Public Health. 2017;27(2):313-8.  https://doi.org/10.1093/eurpub/ckw144  PMID: 27615734 
  36. Ndawinz JD, Costagliola D, Supervie V. New method for estimating HIV incidence and time from infection to diagnosis using HIV surveillance data: results for France. AIDS. 2011;25(15):1905-13.  https://doi.org/10.1097/QAD.0b013e32834af619  PMID: 21811147 
  37. Mammone A, Pezzotti P, Camoni L, Regine V, Raimondo M, Dorrucci M, et al. Time from infection with HIV to diagnosis in Italy: an estimate using surveillance data. Oral presentation. Proceedings of the 8th Italian Conference on AIDS and antiviral research (ICAR); 2016 Jun 6-8; Milan, Italy.
  38. Song R, Hall HI, Green TA, Szwarcwald CL, Pantazis N. Using CD4 Data to Estimate HIV Incidence, Prevalence, and Percent of Undiagnosed Infections in the United States. J Acquir Immune Defic Syndr. 2017;74(1):3-9.  https://doi.org/10.1097/QAI.0000000000001151  PMID: 27509244 
  39. European Centre for Disease Prevention and Control. Antenatal screening for HIV, hepatitis B, syphilis and rubella susceptibility in the EU/EEA. Stockholm: ECDC; 2016. Available from: http://ecdc.europa.eu/en/publications/Publications/antenatal-screening-HIV-hepatitis-B-syphilis-rubella-EU.pdf
  40. Camoni L, Raimondo M, Urciuoli R, Iacchini S, Suligoi B, Pezzotti P, et al. [People living with HIV in Italy: data from the second census]. Not Ist Super Sanità. 2017; 30(1). Italian. Available from: http://www.iss.it/binary/publ/cont/ONLINE_GENNAIO.pdf
/content/10.2807/1560-7917.ES.2018.23.15.17-00240
Loading

Data & Media loading...

Submit comment
Close
Comment moderation successfully completed
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error