부산대학교 도서관

Background: Next-generation sequencing (NGS) methods for microbial profiling have increased sensitivity to detect urinary pathogens. Objective: To determine whether NGS microbial profiling can be used to guide antibiotic prophylaxis and reduce infection compared with the standard of care. Design, setting, and participants: A prospective randomized controlled clinical trial of patients undergoing urologic stone interventions at an academic health center from December 2019 to January 2022 was conducted. Urine was collected at the preoperative visit for standard culture and intervention NGS diagnostics. Evaluable patients were culture negative, met 2-wk follow-up, and did not cancel surgery. Of 240 individuals (control = 121, intervention = 119), 83 control and 74 intervention patients were evaluable. Intervention: Microbial findings (paired quantitative polymerase chain reaction and NGS) were sent to an infectious disease pharmacist to recommend prophylactic antimicrobial regimen. Outcome measurements and statistical analysis: The primary outcome was postoperative urinary infection within the follow-up period (Fisher’s exact test). The primary outcome was analyzed by modified intent-to-treat (mITT) and per-protocol analyses. Secondary endpoints considered included positive culture concordance, antibiotic use, and adverse events. Additional post hoc analyses investigated factors contributing to infection (univariate logistic regression). Results and limitations: The intervention significantly reduced postsurgical urinary infection risk by 7.1% (–0.73%, 15%) compared with the standard of care in the mITT analysis (1.4% vs 8.4%, p = 0.045) or by 8.5% (0.88%, 16%) compared with the per-protocol analysis (0% vs 8.5%, p = 0.032). NGS-guided treatment altered the distribution of antibiotics used (p = 0.025), and antibiotics poorly matched with NGS findings were associated with increased infection odds (odds ratio [OR] = 5.9, p = 0.046). Women were at greater odds to develop infection (OR = 10, p = 0.03) and possessed differentiated microbial profiles (p