Table 1.
Base case input parameters for an analysis of ART monitoring in Mozambique.
| Parameter | Base Case Value | ||
|---|---|---|---|
| Cohort characteristics [13] | |||
| Mean age, years (SD) | 30 (10) | ||
| Median CD4,/μL (IQR) | 166 (78–226) | ||
| Female, % | 69 | ||
|
| |||
| ART efficacy | |||
| Initial suppression, % [14] | 79 | ||
| Re-suppression after adherence intervention, % [38] | 54 | ||
|
| |||
| Annual costs (2014 US$) [16] | |||
| Clinical care | |||
| CD4 >200/μL | 36 | ||
| CD4 ≤200/μL | 53 | ||
| ART regimen costs | |||
| 1st-line (tenofovir/lamivudine/efavirenz) | 148 | ||
| 2nd-line (zidovudine/lamivudine/ritonavir/lopinavir) | 389 | ||
| Co-trimoxazole prophylaxis | 28 | ||
|
| |||
| ART monitoring strategies | |||
| Criteria for observed ART failure [8] | |||
| All strategies | WHO stage III or IV opportunistic infections* | ||
| Strategy-specific | LAB-CD4 | POC-CD4 | VL |
|
|
|||
| 50% decrease in CD4 CD4 < pre-ART nadir CD4 CD4 <100/μL |
VL >3,000 copies/mL | ||
| Characteristics of diagnostic tests** | |||
| Bias, % | 0 | − 4.1% | 0 |
| Random error, % | 15.8% | 19.1% | 0 |
| Test costs (2014 US$) [17, 18] | 11 | 13 | 20 |
| Time delay to clinical decision-making, months† | |||
| Adherence intervention | 2 | 0 | 2 |
| Switch to 2nd-line ART | 14 | 11 | 14 |
SD, standard deviation; IQR, interquartile range; ART, antiretroviral therapy; WHO, World Health Organization; LAB-CD4, laboratory CD4 ART monitoring strategy; POC-CD4, point-of-care CD4 ART monitoring strategy; VL, HIV RNA ART monitoring strategy.
When opportunistic infections occur in patients monitored with POC-CD412, LAB-CD46, or POC-CD46, ART failure is confirmed with a CD4 test; when opportunistic infections occur in patients monitored with VL12, ART failure is confirmed with an HIV RNA test.
Adapted from Scott et al [15]; details in Appendix; Table SDC2.
Adapted from Keiser et al [20].