Presentation is loading. Please wait.

Presentation is loading. Please wait.

Andreas D. Haas, PhD Postdoctoral fellow, ICAP at Columbia University

Similar presentations


Presentation on theme: "Andreas D. Haas, PhD Postdoctoral fellow, ICAP at Columbia University"— Presentation transcript:

1 Late diagnosis and partner risk: differentiated HIV testing to reach people with advanced disease
Andreas D. Haas, PhD Postdoctoral fellow, ICAP at Columbia University 21 July 2019

2 The CQUIN Learning Network
HIV testing Facility-based testing 70% CD4 at diagnosis <350 cells/µL Community-based testing 25% to 40% CD4 at diagnosis <350 cells/µL Inefficient: high cost per HIV diagnosis Early and efficient diagnosis requires targeted community- based HIV testing strategies Community index testing Secondary distribution of self-tests Targeted mobile testing Sharma et al. Nature 2015, Suthar et al. Plos Med 2013 The CQUIN Learning Network

3 The CQUIN Learning Network
Objectives Describe the proportion of HIV-positive adults who were diagnosed late during the PHIA survey Characterize populations at risk of late diagnosis Examine associations between late diagnosis and partners´ risk of HIV acquisition The CQUIN Learning Network

4 PHIA Project Goal: Conduct nationally representative, HIV-focused household surveys to assess the HIV epidemic and the impact of response programs 1o objectives: national HIV incidence and subnational prevalence of viral load suppression (VLS) among adults 2o objectives: HIV prevalence, cascades, detectable antiretrovirals, among others

5 The CQUIN Learning Network
Methods: prevalence of late diagnosis and associated factors Data PHIA data for Malawi, Zambia and Zimbabwe from Eligibility HIV-positive adults unaware of their status who participated in the PHIA surveys Outcome Late diagnosis defined as diagnosis at CD4 <350 cells/µL Statistical analysis Descriptive statistics Logistic regression The CQUIN Learning Network

6 The CQUIN Learning Network
Methods: late diagnosis and partner risk Procedures HIV-positive adults unaware of their status were linked to their household sexual partners Estimation of duration of infection based on a CD4 depletion model Partner with longer duration of infection was classified as index case Eligibility People unaware of their positive status who could be linked to an ART-naïve cohabiting sexual partners Statistical analysis Logistic regression models with restricted cubic splines The CQUIN Learning Network

7 The CQUIN Learning Network
Results The CQUIN Learning Network

8 Awareness of HIV status among HIV+ adults
Unaware Aware 25% 75% N: 7,988

9 Characteristics of HIV+ adults unaware of status
Malawi N=472 Zambia N=648 Zimbabwe N=684 Total N=1,804 Female, n (%) 281 (52) 426 (60) 397 (51) 1,104 (55) Rural, n (%) 221 (68) 317 (49) 454 (60) 992 (58) Marital status, n (%) Never married 59 (13) 142 (24) 98 (14) 299 (17) Married/cohabiting 302 (66) 336 (52) 411 (63) 1,049 (60) Divorced/widowed 111 (21) 169 (25) 174 (23) 454 (23) Age in years, median (IQR) 32 (26-42) 32 (25-40) 33 (26-42)

10 Prevalence of late diagnosis
CD4 <350 cells/µL CD4 ≥350 cells/µL N: 1,804 49% 51%

11 Prevalence of advanced disease
CD4 <200 cells/µL CD4 ≥200 cells/µL N: 1,804 19% 81%

12 Factors associated with late diagnosis
GENDER AGE, years

13 Potential reach of index testing
HIV+ adults unaware of status Men Women Positive partner on ART 13.4% 4.4% Positive partner aware but not on ART 3.8% 2.4% Potential reach 17.2% 6.8% The CQUIN Learning Network

14 Adjusted odds ratios for HIV-positive status among sexual partners
Partners of undiagnosed people with a CD4 count of 350 vs. 250 cells/µL had 43% decreased odds (aOR 0.57 CI ) for being HIV-positive. The CQUIN Learning Network

15 Adjusted odds ratios for HIV-positive status among sexual partners
Partners of undiagnosed people with a CD4 count of 500 vs. 250 cells/µL had 76% decreased odds (aOR 0.24 CI ) for being HIV-positive. The CQUIN Learning Network

16 The CQUIN Learning Network
Conclusion Timely diagnosis of HIV remains a challenge in Southern Africa Need for innovative (e.g. differentiated) HIV testing strategies to diagnose people who have not been reached by existing HIV testing Differentiated HIV testing models targeting people 45 or older might be a useful approach to diagnose people in advanced stages of HIV disease Index testing has great potential but is not a silver bullet. Need for several targeted HIV testing strategies to reach all HIV- positive people who are unaware of their status The CQUIN Learning Network

17 The CQUIN Learning Network
Thank you PHIA participants ICAP, CDC, MOHs and other collaborating institutions PHIA team in particular Jessica Justman and Elizabeth Radin Funders: PEPFAR and Swiss National Science Foundation The CQUIN Learning Network


Download ppt "Andreas D. Haas, PhD Postdoctoral fellow, ICAP at Columbia University"

Similar presentations


Ads by Google