Identifying Subgroups of People Living With HIV in British Columbia, Canada Based on Sexually Transmitted and

Amanda M Yonkman1,2, Scott D Emerson1, Paul Sereda1

  • 1BC Center for Excellence in HIV/AIDS Vancouver Canada.

PubMed

Insights

Latent Class Analysis identified four distinct groups of people living with HIV (PLWH) based on sexually transmitted and blood-borne infection (STBBI) testing and diagnosis patterns. These findings will help tailor interventions for STBBIs in PLWH.

Area of Science:

  • Public Health
  • Infectious Diseases
  • Epidemiology

Background:

  • Combination antiretroviral therapy has improved outcomes for people living with HIV (PLWH).
  • However, the prevalence of other sexually transmitted and blood-borne infections (STBBIs) is increasing among PLWH.
  • Targeted interventions are needed to address rising STBBI rates in this population.

Purpose of the Study:

  • To identify distinct subpopulations of PLWH based on their patterns of STBBI lab testing and diagnosis.
  • To inform the development of targeted STBBI interventions for PLWH in British Columbia, Canada.

Main Methods:

  • Latent Class Analysis was used to analyze lab testing and diagnostic data for gonorrhea, chlamydia, syphilis, hepatitis C virus (HCV), and hepatitis B virus (HBV).
  • The study included 9,328 people living with HIV (PLWH) in British Columbia between 2003 and 2020.
  • Two-tailed logistic regression was used to compare the demographic compositions of identified classes.

Main Results:

  • Four distinct classes of PLWH were identified based on STBBI testing and diagnostic patterns.
  • Class 4 exhibited higher testing and diagnosis rates for all studied STBBIs, with a higher proportion of men who have sex with men.
  • Demographic compositions varied significantly across the four classes.

Conclusions:

  • Latent Class Analysis successfully identified key subpopulations of PLWH with different STBBI testing and diagnosis profiles.
  • Understanding these patterns is crucial for informing public health strategies and guiding targeted STBBI interventions.
  • A holistic approach to analyzing STBBI data can enhance the effectiveness of interventions for PLWH.
Abstract