| Literature DB >> 31249825 |
Chris Kenyon1,2.
Abstract
Contemporary HIV preexposure prophylaxis (PrEP) cohorts are characterized by high rates of partner change and as a result have high and fairly stable prevalences of N. gonorrhoeae and C. trachomatis. The available evidence suggests that intensive 3-monthly screening in this setting does not have a large effect on the prevalence of these infections but results in high antimicrobial exposures. Gonorrhea/chlamydia screening may thus be doing more harm than good. Compelling arguments can, however, be made to screen for HIV, hepatitis C, and syphilis in PrEP cohorts. In this perspective piece, we explore the logical basis for deciding which STIs to screen for in PrEP cohorts. We propose that a Delphi consensus methodology is used to derive, assess, and apply a broadly accepted set of criteria to evaluate which STIs to screen for in these cohorts. Finally, to illustrate the utility of the process, we derive and apply our own list of criteria as to which STIs to screen for. This process leads to a controversial conclusion, namely that stopping gonorrhea/chlamydia screening in a controlled and phased manner may offer net health benefits to PrEP cohorts.Entities:
Keywords: Delphi consensus; M. genitalium; MSM; PrEP; STI screening; antimicrobial resistance; chlamydia; gonorrhea
Year: 2019 PMID: 31249825 PMCID: PMC6582697 DOI: 10.3389/fpubh.2019.00154
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Non-exclusive list of possible criteria for evaluating net utility of screening six specific STIs in MSM PrEP cohorts.
| 1. Undetected infection typically associated with serious adverse clinical outcomes | 1 | 1 | 1 | 4 | 4 | 5 |
| 2. Long period between infection and disease onset | 1 | 1 | 1 | 3 | 5 | 5 |
| 3. Not spontaneously cleared by immune system | 0 | 0 | 0 | 3 | 3 | 5 |
| 4. No immunity from naturally cleared infection | 3 | 3 | 2 | 2 | 5 | 5 |
| Total | 5 | 5 | 2 | 12 | 17 | 20 |
| 1. Low risk of inducing AMR in pathogen itself given standard therapy | 0 | 0 | 4 | 4 | 5 | 5 |
| 2. Low risk of inducing AMR in microbiome given standard therapy | 0 | 1 | 2 | 4 | 5 | 5 |
| Total | 0 | 1 | 6 | 8 | 10 | 10 |
Each STI is scored for each criterion on a scale from 0 (highly unlikely) to 5 (very likely) according to probability that screening would result in a positive outcome according to this criterion.
This scoring is based on a subjective assessment of the author's evaluation of the scientific literature. This assessment was performed in the absence of systematic reviews on each of these criteria/pathogen combinations.
Ng, Neisseria gonorrhoeae; Mg, Mycoplasma genitalium; Ct, Chlamydia trachomatis; Tp, Treponema pallidum; HCV, hepatitis C; HIV, Human Immunodeficiency Virus.
Figure 1An illustration of how frequent screening for N. gonorrhoeae in MSM preexposure prophylaxis (PrEP) populations may have little effect on reducing prevalence of N. gonorrhoeae but result in the development of antimicrobial resistance. Period (1) The high sexual network connectivity of a typical PrEP cohort (top) translates into a high equilibrium prevalence of N. gonorrhoeae (green squares). Period (2) Active screening of a quarter of this population (black bordered squares) results in a lower N. gonorrhoeae prevalence in period 2 but at the expense of an altered resistome (yellow squares represent individuals with N. gonorrhoeae cleared via antibiotics in preceding period). Because the network connectivity remains unchanged, N. gonorrhoeae tends to return to its equilibrium prevalence. This places recently cured individuals (such as individual “a”) at high risk of reinfection at a time when their resistomes are enriched with resistance genes. An early N. gonorrhoeae reinfection in “a” is able to take up these resistance genes via transformation and become resistant to the antibiotics used to treat N. gonorrhoeae (red squares). Period (3) If there is ongoing high exposure to antibiotics these less susceptible N. gonorrhoeae strains will have a fitness advantage over more susceptible strains. These dynamics would be predicted to favor the emergence and spread of resistant N. gonorrhoeae. By period 3, N. gonorrhoeae has returned to its equilibrium prevalence for this degree of network connectivity but now most strains are resistant. The degree of connectivity in the low connectivity population (bottom) is so low that N. gonorrhoeae remains at a very low prevalence. Even extensive screening is unlikely to result in sufficient antibiotic exposure to provide N. gonorrhoeae access to resistance genes or a fitness advantage for resistance strains (Uninfected individuals: gray squares; Edges between squares represent sexual relationships).