| Literature DB >> 35918722 |
Anete Trajman1,2, Menonli Adjobimey3, Mayara Lisboa Bastos4, Chantal Valiquette4, Olivia Oxlade4, Federica Fregonese5, Dissou Affolabi3, Marcelo Cordeiro-Santos6,7, Renato T Stein8,9, Andrea Benedetti4, Dick Menzies4.
Abstract
BACKGROUND: The World Health Organization recommends tuberculosis (TB) preventive treatment (TPT) for all people living with HIV (PLH) and household contacts (HHC) of index TB patients. Tests for TB infection (TBI) or to rule out TB disease (TBD) are preferred, but if not available, this should not be a barrier if access to these tests is limited for high-risk people, such as PLH and HHC under 5 years old. There is equipoise on the need for these tests in different risk populations, especially HHC aged over 5.Entities:
Keywords: Cascade of care; Chest X-ray; GeneXpert; Household contacts; Latent tuberculosis; Tuberculin skin testing
Mesh:
Substances:
Year: 2022 PMID: 35918722 PMCID: PMC9344713 DOI: 10.1186/s13063-022-06587-0
Source DB: PubMed Journal: Trials ISSN: 1745-6215 Impact factor: 2.728
Sample size required to detect superior initiation of tuberculosis preventive treatment (TPT) with either one of the experimental arms compared to standard arm
| TPT initiation proportion among all HHC identified | Number required per group to detect significant differencea, accounting for clustering by household | |||
|---|---|---|---|---|
| Total | ||||
| 40% | 45% | 3046 | 1901 | 9138 |
| 50% | 766 | 478 | 2298 | |
| 35% | 40% | 2921 | 1823 | 8763 |
| 42.5% | 1311 | 818 | 3933 | |
| 45% | 742 | 464 | 2226 | |
| 47.5% | 477 | 298 | 1431 | |
| 35% | 2734 | 1706 | 8202 | |
| 40% | 703 | 439 | 2109 | |
| 45% | 318 | 199 | 954 | |
| 25% | 30% | 2484 | 1551 | 7452 |
| 35% | 649 | 405 | 1947 | |
| 40% | 297 | 186 | 891 | |
aAlpha = 0.05. The intra-class correlation coefficient (ICC) or clustering effect of HHC on TPT initiation was estimated from the ICC for completion in the adult trial comparing 4R with 9H [1], among study subjects who had at least one other family member in the study—i.e., from participants in families of size > 1. We expect the average number of household contacts to be 3 (based on our just completed ACT4 study[2, 3]
bIn the Standard and GX arms, all children < 5 years and older HHC who are TST positive will be eligible to initiate TPT. We estimate this will be about 50% of all HHC, resulting in the lower overall expected initiation rate among all HHC—as cannot exceed the expected proportion eligible for TPT. In the no TST arm, we expect a higher proportion of HHC will start therapy, but we will estimate the number eligible based on prevalence of positive TST in the same age groups at the same centers in the other two arms; the number required in the no TST arm is therefore the same—based on this estimation
cTotal is based on 80% power
Abbreviations: CXR chest X-ray, TST tuberculin skin testing, TB tuberculosis, TPT tuberculosis preventive treatment, ICC intra-class correlation coefficient, HCC household contacts, GX GeneXpert
Sample size required to detect significant difference in costs between standard and GX arms—in each country
| Estimated costs associated with standarda CAD$ 2017 | Estimated costs associated with GXb CAD$ 2017 | Power to detect effect sizesd (effect size = the detectable difference/SD) | ||||||
|---|---|---|---|---|---|---|---|---|
| 20 | 121 | 141 | 16 | 111 | 127 | 0.72 | 0.8 | 0.99 |
| 36 | 319 | 355 | 28 | 278 | 306 | 0.72 | 0.8 | 0.99 |
aFor standard scenario: We assumed that HHC has two visits for TST (administration and reading). Half have three more visits for medical evaluation and CXR and 20% of these have an added two more visits to collect sputum samples; 25% have all of the above, plus 1 visit for LTBI treatment initiation and 3 more visits for LTBI treatment follow-up
bFor GX scenario: We assume that HHC has two visits for TST (administration and reading). Half have one more visit for medical evaluation and GX. One quarter also have one visit for LTBI treat initiation and 3 more visits for LTBI treatment follow-up
cCosts from the patient perspective: Expenses associated with medical visits assumed to be $4.00 per visit in Benin and $7.50 per visit in Brazil. This accounts for travel costs and additional expenses during travel or at medical visit[4]
dTo estimate power, we assume alpha = 0.05, and 455/3 = 152 analyzable subjects per group in each country, and we considered the effect size (detectable difference/SD). We do not know the standard deviation but can estimate approximate costs, based on prior work in each country. As an example, based on costs collected previously in Ghana (neighboring country to BENIN, that also participated in our prior RCT of 4RIF vs 9INH) [1], we expect a difference in total costs of $28 between standard and GX arms. If the standard deviation is $84, then the effect size will be ($28/$84) = 0.33. After accounting for clustering by household, assuming an ICC of 0.33 and 4 subjects per household this effect size will result in estimated power of 80%. If the SD is actually smaller (SD = $56), then for the same expected difference in costs, we will have an effect size = 0.5, providing 99% power to detect a significant difference