Trachoma Clinical Trial
— SWIFT I/IIOfficial title:
Sanitation, Water, and Instruction in Face-washing for Trachoma I/II
SWIFT I is a series of 3 cluster-randomized trials designed to assess several alternative strategies for trachoma control in communities that have been treated with many years of mass azithromycin distributions. The first trial (named WUHA) compares communities that receive a comprehensive Water, Sanitation, and Hygiene (WASH) package to those that receive no intervention. The second trial (named TAITU-A) compares communities randomized to targeted antibiotic treatment versus those randomized to mass antibiotics for trachoma, and the third trial (TAITU-B) compares communities randomized to targeted antibiotics versus those randomized to delayed antibiotics. SWIFT II is a continuation of the first trial (WUHA I). WUHA I is an ongoing cluster-randomized trial in rural Ethiopia designed to determine the effectiveness of water, sanitation, and hygiene (WASH) for trachoma. 40 communities were randomized in a 1:1 ratio either to a comprehensive WASH package or to no intervention. The primary outcome is ocular chlamydia, monitored annually for 3 years. In WUHA II we will treat all 40 WUHA communities with a single mass azithromycin distribution after the month 36 visit, and then continue the WASH intervention only in the 20 communities originally randomized to the WASH arm. We perform annual monitoring visits at months 48, 60, 72, and 84 for the primary outcome of ocular chlamydia among 0-5 year old children. A second aim of WUHA II is to perform a diagnostic test accuracy study of the tests already being conducted as well as several novel tests for trachoma surveillance. The novel tests include inexpensive, point-of-care nucleic acid amplification tests performed on conjunctival swabs, a lateral flow assay for chlamydia seropositivity tested on dried blood spots, and an automated algorithm to detect clinical signs of trachoma from conjunctival photographs. The primary objective of the second aim is to test the sensitivity and specificity of each of these trachoma surveillance tests. By comparing the combined azithromycin-WASH communities to communities receiving mass azithromycin alone, we investigate the benefit of combining the "A", "F", and "E" components of the SAFE strategy as opposed to focusing on antibiotics alone. This is an important question given the expense of WASH interventions and the limited resources of trachoma programs.
Status | Recruiting |
Enrollment | 340000 |
Est. completion date | August 31, 2025 |
Est. primary completion date | January 31, 2024 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 1 Day to 120 Years |
Eligibility | Community Level - Inclusion Criteria - Community in a school district that is within the study area of WagHimra - Area within each school district with a site identified for water point construction - At least 5 rounds of mass azithromycin distributions had been performed within community - Exclusion Criteria: - School districts that are too difficult to reach (more than a 1-day of travel to access) - School districts in the 2 urban regions of the study area, since urban communities have better access to water and sanitation and have less trachoma - Refusal of village chief Individual Level - Inclusion Criteria: - All residents residing within a 1.5km radius from the most promising potential water point the water point sites within the school district that were identified for the study - Exclusion criteria - Refusal of participant [or parent/guardian] |
Country | Name | City | State |
---|---|---|---|
Ethiopia | The Carter Center Ethiopia | Addis Ababa |
Lead Sponsor | Collaborator |
---|---|
University of California, San Francisco | Amhara Public Health Institute, Emory University, National Eye Institute (NEI), The Carter Center |
Ethiopia,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Village-specific ocular chlamydia among 0-5 children over time (first trial: WUHA) | Multiple time points will be used in a mixed effects regression model of the village-specific ocular chlamydia prevalences over time in 0-5 year olds as assessed by PCR. | 12, 24, 36, 48, 60, 72, 84 months | |
Primary | Ocular chlamydia among 8-12 year olds (second trial: TAITU-A) | Cluster-specific prevalence of ocular chlamydia among individuals aged 8-12 years, compared between the targeted azithromycin arm and the mass azithromycin arm. | 24 months | |
Primary | Incident ocular chlamydia in 0-5 year-olds (third trial: TAITU-B) | Incidence of new ocular chlamydia infection in 0-5 year-olds, compared between the targeted azithromycin arm and the delayed mass azithromycin arm. | 24 months | |
Primary | Trial-based cost-effectiveness of intervention (intervention costs per percent of chlamydia reduction) | The short term analysis is designed to provide insight into whether each intervention (WASH or targeted antibiotics) is effective for our primary trial outcome of reducing ocular chlamydial infection in children. The time horizon of these analyses will be the duration of each trial. | 24 months for TAITU, 36 months for WUHA | |
Secondary | Quantitative PCR chlamydia load | The analysis is proposed to be identical to that of the ocular chlamydia outcome, except that a village-specific index of chlamydia load at baseline and at follow-up times is used instead of prevalence. The analysis is two-sided at an alpha of 0.05.
This is a prespecified secondary analysis and will be reported as such. |
12, 24, 36, 48, 60, 72, 84 months | |
Secondary | Follicular trachoma scores; age-stratified (0-5, 6-9, 10 and up for WUHA; 0-5, 8-12 for TAITU) | Follicular trachoma scores (using the 5 level system) will be modeled longitudinally using linear mixed effects regression. Scores are indexed by participant, grader, visit, and village. Participant and village will be modeled as random effects; grader will be modeled as a fixed effect. We will use an AR(1) correlation structure. | 12, 24, 36, 48, 60, 72, 84 months | |
Secondary | Inflammatory trachoma scores; age-stratified (0-5, 6-9, 10 and up for WUHA; 0-5, 8-12 for TAITU) | Inflammatory trachoma grades will be modeled in the same way as Follicular Trachoma. | 12, 24, 36, 48, 60, 72, 84 months | |
Secondary | Clinical trachoma improvement as measured in photography | We anticipate having the following information available. For each child in the sampling frame, we will have a binary improvement score, based on baseline and follow-up photography. We propose to conduct clustered logistic regression (taking into account the clustered nature of the design) using village assignment as the predictor. We will estimate the log odds of the treatment effect. Significance testing will be conducted at 0.05 based on Monte Carlo permutation testing. | 12, 24, 36, 48, 60, 72, 84 months | |
Secondary | Chlamydial load, individual level analysis | Quantitative PCR results at the individual level will be modeled using standard procedures for semi-continuous variables. | 12, 24, 36, 48, 60, 72, 84 months | |
Secondary | Ocular chlamydia; age-stratified (6-9, 10 and up for WUHA; 8-12 for TAITU) | Longitudinal analysis of ocular chlamydia in the age 6-9 group will be modeled at the village level. A similar analysis will consider the 10 and over segment of the population. | 12, 24, 36, 48, 60, 72, 84 months | |
Secondary | Nasopharyngeal pneumococcal macrolide resistance | Using standard microbiological techniques, the lab will process the swabs using media selective for Streptococcus pneumoniae, and then test for antibiotic resistance. Nasopharyngeal macrolide resistance in age 0-5 will be modeled at the village level, using treatment arm as a covariate. | 12, 24, 36, 84 months | |
Secondary | Proportion of the population with clean faces at the village level | The proportion of the population with clean faces will be compared (at the village level) between the two groups, using ANCOVA with baseline values and treatment arm as covariates. | 12, 24, 36, 48, 60, 72, 84 months | |
Secondary | Childhood growth (height) | Longitudinal analysis of anthropometric measurements between the two arms will be conducted using growth curve models. | 12, 24, 36, 48, 60, 72, 84 months | |
Secondary | Childhood growth (weight) | Longitudinal analysis of anthropometric measurements between the two arms will be conducted using growth curve models. | 12, 24, 36, 48, 60, 72, 84 months | |
Secondary | Soil-transmitted helminth prevalence | The prevalence of soil transmitted helminths will be compared between the WUHA treatment arms in a linear mixed effects regression as described above for ocular chlamydia. | 12, 24, 36 months | |
Secondary | Soil-transmitted helminth density | Quantitative soil transmitted helminth results at the individual level will be modeled using standard procedures for semi-continuous variables. | 12, 24, 36 months | |
Secondary | Prevalence of chlamydia and other antigen positivity from serological tests | The prevalence of chlamydia antigen positivity will be compared between the treatment arms in a linear mixed effects regression as described above for ocular chlamydia. | 12, 24, 36, 48, 60, 72, 84 months | |
Secondary | Prevalence of stool-based antigen (diarrheal pathogens, soil transmitted helminths) positivity from serological tests | The prevalence of soil transmitted helminths will be compared between the treatment arms in a linear mixed effects regression as described above for ocular chlamydia. | 12, 24, 36, 48, 60, 72, 84 months | |
Secondary | Intestinal microbiome from rectal sample | Intestinal microbiome from rectal sample, using 16S rRNA deep sequencing and/or next generation sequencing | 24 months | |
Secondary | Sensitivity and specificity of detecting STH using rectal swabs | Sensitivity and specificity of detecting STH using rectal swabs with logistic mixed-effects. Bulk stool samples will be used as the gold standard. | 24 months |
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