AIDS Research and Therapy (Jun 2024)

Changing how the third 95 is counted: suitable indicators for measuring U = U with findings from Taiwan

  • Hsun-Yin Huang,
  • Yu-Ching Huang,
  • Hsiu-Yun Lo,
  • Pei-Chun Chan,
  • Chia-Chi Lee

DOI
https://doi.org/10.1186/s12981-024-00626-3
Journal volume & issue
Vol. 21, no. 1
pp. 1 – 10

Abstract

Read online

Abstract Introduction The World Health Organisation has implemented multiple HIV prevention policies and strived to achieve the 90-90-90 goal by 2020, achieving the 95-95-95 goal by 2030, which refers to 95% of patients living with HIV knowing their HIV status, 95% of patients living with HIV receiving continual care and medication, and 95% of patients living with HIV exhibiting viral suppression. However, how to measure the status of viral suppression varies, and it is hard to indicate the quality of HIV care. The study aimed to examine the long-term viral load suppression in these cases and explore potential factors affecting the control of long-term viral load. Methods This study analyzed viral load testing data from HIV patients who are still alive during the period from notification up to 2019–2020. Three indicators were calculated, including durable viral suppression, Viremia copy-years, and Viral load > 1,500 copies/ml, to assess the differences between them. Results Among the 27,706 cases included in the study, the proportion of persistent viral load suppression was 87%, with 4% having viral loads exceeding 1,500 copies/ml. The average duration from notification to viral load suppression was 154 days, and the geometric mean of annual viral replication was 90 copies*years/ml. Regarding the last available viral load measurement, 96% of cases had an undetectable viral load. However, we observed that 9.3% of cases, while having an undetectable viral load for their last measurement, did not show consistent long-term viral load suppression. An analysis of factors associated with non-persistent viral load suppression revealed higher risk in younger age groups, individuals with an educational level of high school or below, injection drug users, cases from the eastern region, those seeking care at regional hospitals, cases with drug resistance data, individuals with lower healthcare continuity, and those with an initial CD4 count below 350 during the study period. Conclusions The recommendation is to combine it with the indicator of sustained viral load suppression for a more accurate assessment of the risk of HIV transmission within the infected community.

Keywords