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Antibiotic Resistance In Eye Surgeries

Phase 4
Completed
Conditions
Ocular Surface Microbiome
Antibiotic Resistance
Gut Resistome
Interventions
Registration Number
NCT04750655
Lead Sponsor
University of California, San Francisco
Brief Summary

In this study, the investigators seek to determine the effect of antibiotic use post-surgery on antimicrobial resistance. The investigators will be studying adults (aged 18 or older) who will undergo eye surgery at University of California, San Francisco (UCSF). We seek to gain a better understanding of how antibiotic use during the perioperative period influences local and systemic antibiotic resistance at the individual level.

Detailed Description

Antibiotic use has saved millions of lives globally. However, this comes at the cost of selecting for antibiotic-resistant organisms at the individual and the community level. It is estimated that every year, approximately 700,000 deaths are associated with drug resistance globally. This places a significant burden on the public health system and the judicious use of antibiotics is more important than ever before.

The proposed masked, randomized controlled trial evaluates the effects of topical antibiotic use on the selection of antibiotic resistance determinants at the local and systemic levels. The results will provide guidance for antibiotic usage in ophthalmology and may have the potential to inform public health policies.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
108
Inclusion Criteria
  1. Over 18 years of age
  2. Undergoing cataract surgeries that would benefit from intracameral antibiotics
  3. Able to provide swabs
  4. Able to provide consent
  5. Surgery of the second eye occurs at least 8 weeks after surgery of the first eye
Exclusion Criteria
  1. Same-day bilateral cataract surgeries
  2. On immunosuppression medication such as Prednisone, Methotrexate, Cellcept, or anti-TNF inhibitors within past 3 months
  3. On systemic antibiotic within past 3 months
  4. On topical antibiotics within past 8 weeks
  5. Allergies to fluoroquinolone
  6. Patients needing glaucoma drainage device or trabeculectomy
  7. Inability to consent

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
Intraoperative antibiotics (Abx); Postoperative topical antibiotics once a day for 1 weekMoxifloxacin (Topical)intraoperative/ intracameral antibiotic (moxifloxacin); postoperative topical antibiotic drops once a day for 1 week
Intraoperative antibiotics (Abx) only; no postoperative topical antibioticsMoxifloxacin (Topical)intraoperative/ intracameral antibiotic (moxifloxacin) only; no postoperative topical antibiotic drops
Intraoperative antibiotics (Abx); Postoperative topical antibiotics four times a day for 1 weekMoxifloxacin (Topical)intraoperative/ intracameral antibiotic (moxifloxacin); postoperative topical antibiotic drops four times a day for 1 week
Primary Outcome Measures
NameTimeMethod
Antimicrobial Resistance (AMR) of Conjunctiva at 1 Week1 Week

Normalized read counts (reads per million reads or rM) for fluoroquinolone resistance determinants from DNA deep sequencing for the conjunctival swabs at 1 week, which represent the abundance of resistance in the sample.

Secondary Outcome Measures
NameTimeMethod
Antimicrobial Resistance (AMR) of Nasopharynx at 1 Week1 week

Normalized read counts (reads per million reads or rM) for fluoroquinolone resistance determinants from DNA deep sequencing for the nasopharyngeal swabs at 1 week, which represent the abundance of resistance in the sample.

Shannon's Index1 week

Conjunctival samples were evaluated for microbiome heterogeneity at 1 week. Shannon's index (H) represents a measure of bacteria species heterogeneity and is calculated through the following formula, H = -sum(pi\*log(b)\*pi), where pi is the proportional abundance of species and b is the base of the logarithm. Here, we are using the natural logarithm.

The Shannon's Index ranges from 0 to ln(S), where S is the number of species in the community. We report the exponentiated Shannon's Index, which is expressed as the "effective number of species", which ranges from 1 to S species. An effective number of species of 1 indicates that 1 species dominates the microbiome. The greater the effective number of species, the greater the heterogeneity of species abundance in the microbiome. Low heterogeneity of bacterial species in the microbiome is a proxy for a less healthy system.

Simpson's Index1 week

Nasopharyngeal samples were evaluated for microbiome heterogeneity at 1 week. Simpson's index (D) represents a measure of bacteria species heterogeneity and is calculated through the following formula, D = sum(pi\^2), where pi is the proportional abundance of species.

The Simpson's Index ranges from 0 to 1, where 0 represents infinite heterogeneity and 1 represents no heterogeneity. We report the inverse of Simpson's Index, which is expressed as the "effective number of species", which ranges from 1 to S species. An effective number of species of 1 indicates that 1 species dominates the microbiome. The greater the effective number of species, the greater the heterogeneity of species abundance in the microbiome. Low heterogeneity of bacterial species in the microbiome is a proxy for a less healthy system.

Trial Locations

Locations (1)

University of California, San Francisco

🇺🇸

San Francisco, California, United States

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