Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT03820323 |
Other study ID # |
STUDY000004861 |
Secondary ID |
R34MH115769 |
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
March 7, 2019 |
Est. completion date |
December 31, 2020 |
Study information
Verified date |
April 2024 |
Source |
University of Alabama at Birmingham |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
Among nearly 1 million HIV-infected children receiving antiretroviral treatment (ART), as
many as 40% of those living in resource limited settings have not achieved virologic
suppression. Kenya, a The Joint United Nations Programme on HIV/AIDS (UNAIDS) fast-track and
The U.S. President's Emergency Plan for AIDS Relief (PEPFAR) priority country, has an
estimated 98,000 children aged 0-14 years living with HIV. Virologic suppression is achieved
by only 65% of Kenyan children on ART translating to only 38% of the final UNAIDS 90-90-90
goal for population-level viral suppression. Feasible, scalable and cost-effective approaches
to maximizing durability of first-line ART and ensuring viral load (VL) suppression in
HIV-infected children are urgently needed. This pilot study will evaluate two critical
components related to viral suppression in children via: 1) Point-of-care (POC) VL testing
(Aim 1) and 2) targeted drug resistance mutation (DRM) testing (Aim 2) among children on
first-line ART at three facilities within a PEPFAR-funded HIV care and treatment program in
Kenya. The hypotheses are: 1) viral suppression rates will be higher among children with
access to POC VL testing and time to suppression shorter compared to children with standard
VL testing and 2) DRM testing will shorten time to viral suppression and that the
investigators will observe high levels of 1st line antiretroviral DRMs among children on ART
without viral suppression. This proposal directly addresses the urgent need to find
interventions to maximize viral suppression among children on ART and achieve the UNAIDS
90-90-90 goals.
Description:
The study design will be a randomized, controlled study to pilot the use of POC VL and DRM
testing in children aged 1-14 years on first-line ART. Children enrolling at each site will
be randomized 1:1 to two study arms.
Standard of Care Arm:
Participants in the Standard-of-Care (SOC) control arm will receive the standard-of-care VL
and DRM testing based on the existing Kenyan national guidelines. VL testing will be 6 months
after ART initiation (then every 3 months if unsuppressed, otherwise every 12 months) with
DRM testing only if failing second-line ART. Children who have a high lab-based HIV VL
(≥1,000 copies/mL) will receive intensive adherence counseling and be asked to return to the
clinic in 3 months for repeat HIV VL testing. If the HIV VL remains high (≥1,000 copies/mL),
the children will be managed per Kenya national guidelines.
Intervention Arm:
Children in the intervention arm will undergo POC VL testing every 3 months for a total of 12
months. "Targeted" DRM testing will include DRM testing for each child on the first detection
of lack of viral suppression (VL > 1000 copies/mL) and in children newly initiating ART.
The investigators will follow the viral outcomes 12 months after the implementation of POC VL
testing and compare VL suppression rates, defined as VL <1000 copies/mL by the Kenyan
national guidelines, among intervention vs. control arms, accounting for pre-intervention VL
suppression rates.
The primary outcome for Aim 1 is rates of viral suppression (defined as VL <1000 copies/mL)
at 12 months after POC VL testing implementation at the three facilities. The secondary
outcome for Aim 1 is time to viral suppression among those children without viral suppression
at their 1st POC VL testing or newly initiating ART after POC VL testing implementation. In
Aim 2, the investigators intend to evaluate the impact of targeted HIV DRM testing on viral
suppression in the intervention arm only. The investigators will also explore how
sociodemographic, behavioral, clinical, and facility factors may be contributing to the DRM
patterns they observe.