| Literature DB >> 34237074 |
Hamidah Mahmud1,2, Emma Landskroner2, Abdou Amza3, Solomon Aragie4, William W Godwin2, Anna de Hostos Barth2, Kieran S O'Brien2, Thomas M Lietman2,5,6, Catherine E Oldenburg2,5,6.
Abstract
The World Health Organization (WHO) recommends continuing azithromycin mass drug administration (MDA) for trachoma until endemic regions drop below 5% prevalence of active trachoma in children aged 1-9 years. Azithromycin targets the ocular strains of Chlamydia trachomatis that cause trachoma. Regions with low prevalence of active trachoma may have little if any ocular chlamydia, and, thus, may not benefit from azithromycin treatment. Understanding what happens to active trachoma and ocular chlamydia prevalence after stopping azithromycin MDA may improve future treatment decisions. We systematically reviewed published evidence for community prevalence of both active trachoma and ocular chlamydia after cessation of azithromycin distribution. We searched electronic databases for all peer-reviewed studies published before May 2020 that included at least 2 post-MDA surveillance surveys of ocular chlamydia and/or the active trachoma marker, trachomatous inflammation-follicular (TF) prevalence. We assessed trends in the prevalence of both indicators over time after stopping azithromycin MDA. Of 140 identified studies, 21 met inclusion criteria and were used for qualitative synthesis. Post-MDA, we found a gradual increase in ocular chlamydia infection prevalence over time, while TF prevalence generally gradually declined. Ocular chlamydia infection may be a better measurement tool compared to TF for detecting trachoma recrudescence in communities after stopping azithromycin MDA. These findings may guide future trachoma treatment and surveillance efforts.Entities:
Year: 2021 PMID: 34237074 PMCID: PMC8266061 DOI: 10.1371/journal.pntd.0009491
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1Flow diagram of the study selection process.
ASTMH, American Society for Tropical Medicine and Hygiene.
Characteristics of included studies.
| Study | Author | Country | Year | Design | Communities treated | Treatment frequency | Treatment duration | Endpoint measured | Pre-discontinuation active TF prevalence | Pre-discontinuation ocular chlamydia infection prevalence | Time between first 2 post-MDA d/c surveys |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Broman et al. [ | Tanzania | 2006 | Cohort study | 1 | Single | Both | 76.6% | 68.3% | 2 months | |
| 2 | Burton et al. [ | The Gambia | 2010 | Cohort study | 14 | Single | Both | 15.4% | 9.7% | 2 months | |
| 3 | Burton et al. [ | The Gambia | 2005 | Cohort study | 14 | Single | Both | 8% | 7% | 2 months | |
| 4 | Chidambaram et al. [ | Ethiopia | 2006 | Cohort study | 8 | Single | Ocular chlamydia | 43.5% | 2 months | ||
| 5 | Fraser-Hurt et al. [ | The Gambia | 2001 | RCT | 8 | Weekly | 3 weeks | TF | 14.4% | 2 months | |
| 6 | Jha et al. [ | Nepal | 2002 | Cohort study | 18 | Single | TF | 19% | 6 months | ||
| 7 | Keenan et al. [ | Ethiopia | 2010 | Cohort study | 24 | Biannual | 2 years | 91.6% | 63.5% | 6 months | |
| Both | |||||||||||
| 24 | Biannual | 3 years | 74.9% | 31.6% | 6 months | ||||||
| 8 | Keenan et al. [ | Ethiopia | 2018 | RCT | 48 | Annual | 4 years | 41.9% | 12 months | ||
| Ocular chlamydia | |||||||||||
| 48 | Biannual | 4 years | 38.3% | 12 months | |||||||
| 9 | Lakew et al. [ | Ethiopia | 2009 | RCT | 40 | Single | Ocular chlamydia | 48.9% | 2 months | ||
| 10 | Lakew et al. [ | Ethiopia | 2009 | Cohort study | 16 | Biannual | 2 years | Both | 91.6% | 63.5% | 6 months |
| 11 | Lansingh et al. [ | Australia | 2010 | Cohort study | 2 | Single | TF | 49% | 3 months | ||
| 12 | Melese et al. [ | Ethiopia | 2004 | Cohort study | 24 | Ocular chlamydia | 56.3% | 2 months | |||
| 13 | Ramadhani et al. [ | Tanzania | 2019 | Cohort study | 3 | Single | Both | 34% | 15% | 3 months | |
| 14 | Schachter et al. [ | Egypt | RCT | 1 | Quarterly | 1 year | 50.2% | 43.7% | 4.5 months | ||
| The Gambia | 1999 | 1 | Both | 30.2% | 37.2% | 3 months | |||||
| Tanzania | 1 | 43.3% | 19.7% | 3 months | |||||||
| 15 | Schémann et al. [ | Mali | 2007 | Cohort study | 7 | Single | TF | 23.7% | 1 month | ||
| 16 | Solomon et al. [ | Tanzania | 2008 | Cohort study | 1 | Annual | 2 years | Both | 9.5% | 2.2% | 18 months |
| 17 | Solomon et al. [ | Tanzania | 2004 | Cohort study | 1 | Single | Both | 20.4% | 9.5% | 2 months | |
| 18 | West et al. [ | Tanzania | 2017 | RCT | 52 | Single | Both | 4.9% | 3% | 6 months | |
| 19 | West et al. [ | Tanzania | 2007 | Cohort study | 1 | Weekly | 2 weeks | Both | 53% | 70.7% | 42 months |
| 20 | West et al. [ | Tanzania | 2005 | Cohort study | 1 | Single | Both | 38% | 57% | 2 months | |
| 21 | Wilson et al. [ | Tanzania | 2018 | RCT | 96 | Single | Both | 4.3% | 0% | 12 months |
RCT, randomized controlled trial; TF, trachomatous inflammation–follicular.
Fig 2Prevalence of ocular chlamydia and active trachoma at first and second post-MDA discontinuation time points.
Prevalence of ocular chlamydia (Fig 2A) and TF (Fig 2B) at first and second post-mass distribution administration of azithromycin surveys. The solid black line indicates 45° line. The red dashed line on panel (Fig 2B) indicates the TF control threshold (5%). MDA, mass drug administration; TF, trachomatous inflammation–follicular.
Fig 3Prevalence of ocular chlamydia and active trachoma post-MDA discontinuation over time.
Prevalence of ocular chlamydia (Fig 3A) and TF (Fig 3B) at each post-mass distribution administration of azithromycin time point (in months). The vertical gray dotted line indicates the first post-MDA time point for each included study. The red dashed line for Fig 3B indicates the 5% TF threshold. MDA, mass drug administration; TF, trachomatous inflammation–follicular.
Risk of bias assessment of included studies.
| Confounding | Selection bias | Classification of interventions | Deviation from intervention | Missing data | Measurement error | Reporting bias | Overall bias | |
|---|---|---|---|---|---|---|---|---|
| Study 1 | Low | Low | Low | Low | Low | Moderate | Low | Low |
| Study 2 | Low | Low | Low | Low | Low | Moderate | Low | Low |
| Study 3 | Low | Low | Low | Low | Low | Moderate | Low | Low |
| Study 4 | Low | Low | Low | Low | Low | Moderate | Low | Low |
| Study 5 | Low | Low | Low | Low | Low | Moderate | Low | Low |
| Study 6 | Low | Low | Low | Low | Low | Moderate | Low | Low |
| Study 7 | Low | Low | Low | Low | Low | Low | Low | Low |
| Study 8 | Low | Low | Low | Low | Low | Moderate | Low | Low |
| Study 9 | Low | Low | Low | Low | Low | Moderate | Low | Low |
| Study 10 | Low | Low | Low | Low | Low | Low | Low | Low |
| Study 11 | Low | Low | Low | Low | Low | Moderate | Low | Low |
| Study 12 | Low | Low | Low | Low | Low | Low | Low | Low |
| Study 13 | Low | Low | Low | Low | Low | Moderate | Low | Low |
| Study 14 | Low | Low | Low | Low | Low | Low | Low | Low |
| Study 15 | Low | Low | Low | Low | Low | Moderate | Low | Low |
| Study 16 | Low | Low | Low | Low | Low | Moderate | Low | Low |
| Study 17 | Low | Low | Low | Low | Low | Moderate | Low | Low |
| Study 18 | Low | Low | Low | Low | Low | Low | Low | Low |
| Study 19 | Low | Low | Low | Low | Low | Moderate | Low | Low |
| Study 20 | Low | Low | Low | Low | Low | Moderate | Low | Low |
| Study 21 | Low | Low | Low | Low | Low | Moderate | Low | Low |