In Western Europe, about 50% of newly diagnosed HIV-positive individuals are diagnosed at a late stage disease and enter in care late (i.e. with a CD4 count ≤350 μL/μL). The aim of the present study is to analyze the characteristics and the factors associated with being diagnosed late or at an advanced stage of disease among persons with a new HIV diagnosis in Italy, in the period 2010–2011.

Background: Non–AIDS-defining cancers (non-ADCs) have become the leading non-AIDS-related cause of death among people with HIV/AIDS. We aimed to quantify the excess risk of cancer-related deaths among Italian people with AIDS (PWA), as compared with people without AIDS (non-PWA). Methods: A nationwide, population-based, retrospective cohort study was carried out among 5285 Italian PWA, aged 15–74 years, diagnosed between 2006 and 2011. Date of death and multiple-cause-of-death data were retrieved up to December 2011. Excess mortality, as compared with non-PWA, was estimated using sex- and age-standardized mortality ratios (SMRs) and the corresponding 95% confidence intervals (CIs). Results: Among 1229 deceased PWA, 10.3% reported non-ADCs in the death certificate, including lung (3.1%), and liver (1.4%), cancers. A 7.3-fold (95% CI: 6.1 to 8.7) excess mortality was observed for all non-ADCs combined. Statistically significant SMRs emerged for specific non-ADCs, ie, anus (5 deaths, SMR = 227.6, 95% CI: 73.9 to 531.0), Hodgkin lymphoma (12 deaths, SMR = 122.0, 95% CI: 63.0 to 213.0), unspecified uterus (4 deaths, SMR = 52.5, 95% CI: 14.3 to 134.5), liver (17 deaths, SMR = 13.2, 95% CI: 7.7 to 21.1), skin melanoma (4 deaths, SMR = 10.9, 95% CI: 3.0 to 27.8), lung (38 deaths, SMR = 8.0, 95% CI: 5.7 to 11.0), head and neck (9 deaths, SMR = 7.8, 95% CI: 3.6 to 14.9), leukemia (5 deaths, SMR = 7.6, 95% CI: 2.4 to 17.7), and colon-rectum (10 deaths, SMR = 5.4, 95% CI: 2.6 to 10.0). SMRs for non-ADCs were particularly elevated among PWA infected through injecting drug use. Conclusion: This population-based study documented extremely elevated risks of death for non-ADCs among PWA. These findings stress the need of preventive interventions for both virus-related and non–virus-related cancers among HIV-infected individuals.

Testing for HIV infection and entry to care are the first steps in the continuum of care that benefit individual health and may reduce onward transmission of HIV. We determined the percentage of people with HIV who were diagnosed late and the percentage linked into care overall and by demographic and risk characteristics by country. Data were analyzed from national HIV surveillance systems. Six countries, where available, provided data on two late diagnosis indicators (AIDS diagnosis within 3 months of HIV diagnosis, and AIDS diagnosis within 12 months before HIV diagnosis) and linkage to care (≥1 CD4 or viral load test result within 3 months of HIV diagnosis) for people diagnosed with HIV in 2009 or 2010 (most recent year data were available). The percentage of people presenting with late stage disease at HIV diagnosis varied by country, overall with a range from 28.7% (United States) to 8.8% (Canada), and by transmission categories. The percentage of people diagnosed with AIDS who had their initial HIV diagnosis within 12 months before AIDS diagnosis varied little among countries, except the percentages were somewhat lower in Spain and the United States. Overall, the majority of people diagnosed with HIV were linked to HIV care within 3 months of diagnosis (more than 70%), but varied by age and transmission category. Differences in patterns of late presentation at HIV diagnosis among countries may reflect differences in screening practices by providers, public health agencies, and people with HIV. The percentage of people who received assessments of immune status and viral load within 3 months of diagnosis was generally high.

The development of assays for detecting recent HIV infections has become crucial for analyzing trends in infection in different populations, both for surveillance and prevention activities. The anti-HIV avidity index (AI), measured with third-generation immunoassays (which detect anti-HIV antibody), has been shown to be an accurate tool for discriminating recent HIV infections ( 0.05) and yet less specific (93.4% versus 97.4%; P > 0.05). The correlation between assays was high ( r = 0.87). When 20 specimens falling in the gray zone around the cutoff point (0.75 ≤ AI ≤ 0.84) were excluded, the accuracy of AI with Architect HIV Ag/Ab Combo was 94.7%, and the concordance between the two assays was 99.2%. The anti-HIV AI is a serological marker that accurately discriminates recent from established HIV infections. It can be successfully applied on fully automated fourth-generation HIV Ab/Ag immunoassays, which have several advantages, including increased throughput, high reproducibility, no need for specific technical skills, and easy comparability of results obtained in different settings.

Objective: To estimate the size and characteristics of the undiagnosed HIV population in Italy in 2012 applying a method that does not require surveillance data from the beginning of the HIV epidemic. Methods: We adapted the method known as ‘London method 2’; the undiagnosed population is estimated as the ratio between the estimated annual number of simultaneous HIV/clinical AIDS diagnoses and the expected annual progression rate to clinical AIDS in the undiagnosed HIV population; the latter is estimated using the CD4⁺ cell count distribution of asymptomatic patients reported to surveillance. Under-reporting/ascertainment of new diagnoses was also considered. Also, the total number of people living with HIV was estimated. Results: The undiagnosed HIV population in 2012 was 13 729 (95% confidence interval: 12 152–15 592), 15 102 (13 366–17 151) and 16 475 (14 581–18 710), assuming no under-reporting/ascertainment, 10 and 20% of under-reporting/ascertainment, respectively. The percentage of undiagnosed cases was higher among HIV people aged below 25 years (25–28%), MSM (16–19%) and people born abroad (16–19%), whereas it was small among injection drug users (3%). Conclusion: The estimate of people in Italy with undiagnosed HIV in 2012 was in a plausible range of 12 000–18 000 cases, corresponding to 11–13% of the overall prevalence. The method is straightforward to implement only requiring annual information from the HIV surveillance system about CD4⁺ cell count and clinical stage at HIV diagnosis. Thus, it could be used to monitor if a certain prevention initiative lead to the reduction of the undiagnosed HIV population over time. It can also be easily implemented in other countries collecting the same basic information from the HIV surveillance system.