| Literature DB >> 32490370 |
Horacio A Duarte1,2, Joseph B Babigumira3, Eva A Enns4, David C Stauffer1, Robert W Shafer5, Ingrid A Beck2, Louis P Garrison6, Michael H Chung7, Lisa M Frenkel1,2,3,8,9, Eran Bendavid5.
Abstract
BACKGROUND: The prevalence of pre-treatment drug resistance (PDR) to non-nucleoside reverse-transcriptase inhibitor (NNRTI) agents is increasing in sub-Saharan Africa, which may decrease the effectiveness of efavirenz-based antiretroviral therapy (ART) programs. However, due to recent safety concerns, there has been hesitancy to replace efavirenz-based ART with dolutegravir in women of reproductive potential. Our objective was to evaluate whether PDR testing for women not initiating dolutegravir-based ART would be a cost-effective strategy to address the challenges posed by PDR.Entities:
Keywords: Africa; Cost-effectiveness analysis; Dolutegravir-based ART; Drug resistance testing; Efavirenz-based ART; HIV; Pretreatment drug resistance; Resource-limited setting
Year: 2020 PMID: 32490370 PMCID: PMC7256304 DOI: 10.1016/j.eclinm.2020.100355
Source DB: PubMed Journal: EClinicalMedicine ISSN: 2589-5370
Model parameters for base-case analysis.
| Parameter | Base-case estimate | Range for sensitivity analyses | Source |
|---|---|---|---|
| See Appendix Section 2F | |||
| Initial ART (over 12 months) | |||
| Dolutegravir-based ART | 6·2% | ||
| No PDR on efavirenz-based ART | 13·6% | ||
| PDR on PI-based ART | 13·6% | ||
| PDR on efavirenz-based ART | 32·0% | 23·9–48·6% | |
| Second-line, PI-based ART (over 24 months) | 15·2% | 10·1–21·2% | |
| Diagnostic sensitivity of OLA | 80% | 59–100% | Rhee et al. |
| Diagnostic sensitivity of CS | 100% | Assumption | |
| Specificity of OLA and CS | 100% | Beck et al. | |
| Probability of HIV-infected woman initiating ART receiving | 40% | 20–60% | See Appendix Section 1C |
| Probability of switching to second-line ART when virologic | 60% | 20–100% | Model calibration, see Appendix Sections 1C and 3C |
| ART annual cost | Global Fund | ||
| Efavirenz-based ART | $70 | ||
| Dolutegravir-based ART | $70 | ||
| PI-based ART | $215 | $70–400 | |
| Inpatient day | $60 | $15–240 | IHME |
| Outpatient visit | $15 | IHME | |
| HIV test | $24 | KEMRI | |
| CD4 test | $12 | $6–24 | Primary data |
| Viral load test | $54 | $10–80 | KEMRI |
| OLA test | $30 | $15–60 | Duarte et al. |
| Consensus sequencing test | $125 | KEMRI | |
| Background health spending (person/year) | $66 | World Bank | |
| Salomon et al. | |||
| HIV-negative | 1 | ||
| HIV-positive, CD4 > 350 | 0·947 | ||
| HIV-positive, CD4 = 200–350 | 0·779 | ||
| HIV-positive, CD4 < 200 | 0·453 |
In the base-case scenario, the ratio of the odds of virologic failure for those with PDR on efavirenz-based ART compared to those with either no PDR on efavirenz-based ART or those with PDR on PI-based ART is 3·0. The range of 23·9–48·6% probability of virologic failure for those with PDR on efavirenz-based ART corresponds to an odds ratio range of 2·0 to 6·0.
This range is meant to capture uncertainty in both unit cost per inpatient day and the number of inpatient days per opportunistic infection (see Appendix Section 4A for details).
Unit cost estimates for each inpatient day and each outpatient visit in Kenya were originally reported in 2011 US$. These estimates have been adjusted for inflation in Kenya from 2011 to 2019 (see Appendix Section 4B for details).
Unit cost estimates per HIV test, viral load test, and consensus sequencing drug resistance test were obtained through personal communication with Maxwel Majiwa, Ph.D., from the Kenya Medical Research Institute (KEMRI) on 29 March 2019.
Unit cost estimate per CD4 cell count test was obtained based on the price charged at the Coptic Hope Center in Nairobi, Kenya (see Appendix Section 4C for details).
Utility weights are equal to 1 – disability weight from Salomon et al. [39].
Fig. 1HIV and PDR prevalence trends and model output.
(A) HIV Prevalence: population-level survey estimates are from the Kenya Demographic and Health Survey (2003 and 2009) and the Kenya AIDS Indicator Survey (2007 and 2012) (see Appendix for references). (B) PDR Prevalence: empirical estimates of PDR prevalence for 2005, 2008, and 2010 include NNRTI and NRTI mutations in ART-naïve individuals in East Africa [2]. 2016 estimate includes only NNRTI mutations in both ART-naïve individuals and those reporting prior exposure to ART who are initiating first-line ART [40]. Model estimate discontinuities in 2010, 2014, and 2016 result from ART coverage expansion and stochastic dynamics, explained in detail in Appendix Section 3C.
Characteristics of simulated population at t0.
| HIV prevalence (15–49 years) | 4·3% |
| PDR prevalence | 13·1% |
| Proportion of HIV-infected people on ART | 82·7% |
| Proportion of all HIV-infected people with viral suppression | 70·6% |
| Of people on ART, proportion now on second-line (PI-based) regimen | 10·9% |
Fig. 2Proportion of HIV-infected, PDR+ women with viral suppression over time.
Health and ART outcomes over 15 years from t0.
| No PDR testing | OLA PDR testing | CS PDR testing | |
|---|---|---|---|
| Proportion with suppressed VL at month-12 on ART | |||
| Among men and women | 88·9% | 89·7% | 89·9% |
| Among women | 87·8% | 89·0% | 89·3% |
| Among women with PDR | 79·8% | 87·1% | 88·7% |
| Proportion with suppressed VL (irrespective of ART status) | |||
| Among men and women | 76·9% | 77·1% | 77·1% |
| Among women | 76·8% | 77·1% | 77·1% |
| Among women with PDR | 59·7% | 62·3% | 62·8% |
| HIV mortality rate | 426·8 | 426·5 | 426·5 |
| HIV mortality rate among women with PDR | 427·2 | 423·1 | 422·4 |
| Incidence rate | 12·00 | 11·94 | 11·93 |
| Proportion on PI-based regimen | 9·3% | 10·2% | 10·4% |
| Person-months of ART use (million) | 212·74 | 212·66 | 212·65 |
| Person-months of PI-based ART use (million) | 21·0 | 23·0 | 23·5 |
Average over 15-year time period.
Per 10,000 person-years over 15-year period.
Fig. 3Prevalence of PDR among HIV-infected women over time.
Costs, QALYs, and incremental cost-effectiveness of PDR testing strategies.
| Undiscounted costs (US$) | Undiscounted QALYs | ||
|---|---|---|---|
| No PDR testing | 49,148,153,419 | 569,609,819 | |
| OLA PDR testing | 49,191,581,960 | 569,614,223 | |
| CS PDR testing | 49,256,326,325 | 569,614,723 | |
| Discounted costs (US$) | Discounted QALYs | ICER (US$ per QALY gained) | |
| No PDR testing | 39,129,404,402 | 451,689,577 | N/A |
| OLA PDR testing | 39,163,788,731 | 451,692,778 | 10,741 |
| CS PDR testing | 39,217,003,269 | 451,693,174 | 134,396 |
Costs are reported in 2019 US$. Discounted costs and QALYs were discounted 3% annually. N/A = not applicable. QALYs = quality-adjusted life years. ICER = incremental cost-effectiveness ratio.
Fig. 4Incremental costs and health benefits of PDR testing strategies compared to current policy.
Incremental costs and health benefits are scaled-up to the entire adult Kenyan population over a 15-year time horizon starting in 2019.
Fig. 5One-way sensitivity analyses of key model parameters.
(A) OLA PDR testing. ICER values are for OLA PDR testing compared to no PDR testing; the vertical bar represents the OLA PDR testing ICER from the base-case ($10,741/QALY gained). (B) CS PDR Testing. ICER values are for CS PDR testing compared to OLA PDR testing; the vertical bar represents the CS PDR testing ICER from the base-case ($134,396/QALY gained). VF = virologic failure; OR = odds ratio.
Each horizontal bar represents the range of ICER values found for the specified range of values for the corresponding parameter. For each parameter, numbers to the right and left of the horizontal bar indicate the parameter value that corresponds to the high end and low end, respectively, of the ICER range that resulted from the one-way sensitivity analysis (range of values explored for each parameter value defined in Table 1). The ICERs corresponding to each of these parameter values can be found by finding the x-axis value that corresponds to the ends of each bar. In the one-way sensitivity analysis of “probability of VF with PDR on efavirenz”, the odds ratio refers to the ratio of the odds of virologic failure for those with PDR on efavirenz-based ART compared to those with either no PDR on efavirenz-based ART or those with PDR on PI-based ART (“PDR to no PDR odds ratio”). We varied the “probability of VF with PDR on efavirenz-based ART” while holding constant the “probability of VF for patients without PDR on efavirenz-based ART”. The probability of VF with PDR on efavirenz-based ART for cases with an OR equal to 2·0 and 6·0 were 23·9 and 48·6%, respectively.