172. Inpatient Antibiotic Prescribing Patterns Using the WHO Access Watch and Reserve (AWaRe) Classification in Okinawa, Japan: A Point Prevalence Survey

Abstract Background Few studies have been done on inpatient antibiotic use in Japan and antibiotic stewardship programs with dedicated full-time equivalents are rare. We sought to better understand inpatient antibiotic use in Okinawa, Japan. We applied the World Health Organization (WHO) Access, Watch and Reserve (AWaRe) Classification to compare our findings to international literature. Access antibiotics are common front-line antibiotics, Watch antibiotics are high-priority antibiotics with toxicity or resistance concerns, and Reserve antibiotics are last-line treatments for multi-drug resistant infections. Methods A point prevalence study was conducted in five hospitals in Okinawa, Japan on Oct 1, 2020. Physicians conducted chart reviews of all patients receiving intravenous antibiotics. Type of antibiotic, reason for use, duration, and microbiologic data was collected. The primary aim was to evaluate the proportion of patients who received antibiotics on the assessment date; secondary aims were to categorize antibiotics according to indication, class and AWaRe classification. Descriptive statistics were used to derive the distribution of AWaRe Classifications and drug class. Results 1,728 unique patients were included and 504 (29%) received ≥1 antibiotic on the assessment date. A total of 559 antibiotics were used for 504 patients and 22.0% (n=123) were for prophylaxis. Of those receiving antibiotics for treatment (N=436), 385 (88.3%) patients had a documented infection source. The most common indications for antibiotic use were pneumonia (24.2% n=93), urinary tract infection (19.7% n=76), and intraabdominal (17.9% n=69). Overall, 43.1% (n=241) of the antibiotics were categorized Access and 54.4% (n=304) Watch [Figure 1]. Cephalosporins were the most common antibiotic class (56% n=313), followed by β-lactam inhibitors (18% n=106) and narrow penicillins (8.2% n=46) [Figure 2]. Conclusion 29% of inpatients in these 5 Okinawan hospitals were prescribed an antibiotic on the survey date. A majority of antibiotics used fall under the WHO AWaRe Watch classification which are antibiotics that may be more likely to cause resistance. Understanding appropriateness of antibiotics used in this population could inform antibiotic stewardship strategies and reduce antibiotic resistance. Figure 1. Antibiotic Distribution According to World Health Organization (WHO) Access, Watch and Reserve (AWaRe) Classification Figure 2. Antibiotic Distribution by Class in Okinawan Hospitals Disclosures All Authors: No reported disclosures


Inpatient Antibiotic Prescribing Patterns Using the WHO Access Watch and Reserve (AWaRe) Classification in Okinawa, Japan: A Point Prevalence Survey
Payal K. Patel, MD, MPH 1 ; Naoyuki Satoh, MD, PhD 2 ; Masashi Narita, MD 3 ; Yoshiaki Cho, MD 4 ; Yusuke Oshiro, MD 5 ; Tomoharu Suzuki, MD 6 ; Karen E. Fowler, BA 1 ; M. Todd Greene, MPH, PhD 1 ; Yasuharu Tokuda, MD, MPH, PhD 7 ; Keith S. Kaye, MD, MPH 8 ; 1 University of Michigan and the Ann Arbor VA Healthcare System, Ann Arbor, MI; 2 Heartlife Hospital, Okinawa, Okinawa, Japan; 3 Okinawa Chubu Hospital, okinawa, Okinawa, Japan; 4 Okinawa Prefectural Nanbu Medical Center and Children's Medical Center, Okinawa, Okinawa, Japan; 5 Nakagami Hospital, Okinawa, Okinawa, Japan; 6 Urasoe General Hospital, Okinawa, Okinawa, Japan; 7 Muribushi Project for Teaching Hospitals, Urasoe, Okinawa, Japan; 8 University of Michigan Medical School, Ann Arbor, MI Session: P-09. Antimicrobial Stewardship: Trends in Antimicrobial Prescribing Background. Few studies have been done on inpatient antibiotic use in Japan and antibiotic stewardship programs with dedicated full-time equivalents are rare. We sought to better understand inpatient antibiotic use in Okinawa, Japan. We applied the World Health Organization (WHO) Access, Watch and Reserve (AWaRe) Classification to compare our findings to international literature. Access antibiotics are common front-line antibiotics, Watch antibiotics are high-priority antibiotics with toxicity or resistance concerns, and Reserve antibiotics are last-line treatments for multi-drug resistant infections.
Methods. A point prevalence study was conducted in five hospitals in Okinawa, Japan on Oct 1, 2020. Physicians conducted chart reviews of all patients receiving intravenous antibiotics. Type of antibiotic, reason for use, duration, and microbiologic data was collected. The primary aim was to evaluate the proportion of patients who received antibiotics on the assessment date; secondary aims were to categorize antibiotics according to indication, class and AWaRe classification. Descriptive statistics were used to derive the distribution of AWaRe Classifications and drug class.
Conclusion. 29% of inpatients in these 5 Okinawan hospitals were prescribed an antibiotic on the survey date. A majority of antibiotics used fall under the WHO AWaRe Watch classification which are antibiotics that may be more likely to cause resistance. Understanding appropriateness of antibiotics used in this population could inform antibiotic stewardship strategies and reduce antibiotic resistance. Background. Treatment of asymptomatic bacteriuria (ASB) outside of pregnancy and urological procedures increases the risk of antibiotic resistance without improving outcomes. At Olive View-UCLA Medical Center (Sylmar, CA), the CDC U.S. Antibiotic Awareness Week (AAW) was utilized as a platform to promote antimicrobial stewardship (AS) for ASB. We evaluated the incidence of antibiotic treatment of ASB pre-AAW vs post-AAW, and the impact of AS education on future prescribing practices for ASB.
Methods. In this single-center retrospective observational study, AS education defining ASB vs urinary tract infection (UTI) was provided via visual aids distributed throughout the hospital during AAW from 11/18/2020 to 11/24/2020 ( Figure 1). All positive urine cultures (Ucx) for adult inpatients were reviewed prior to AAW from 9/2020 to 11/2020 and after AAW from 12/2020 to 1/2021. Patients were excluded if they were unable to report UTI symptoms, pregnant, or undergoing urological procedure. The incidence of ASB treatment pre-and post-AAW was compared. A survey was sent to providers to compare the impact on antibiotic prescribing behavior for ASB pre-and post-AAW. Fisher's exact and Chi-squared tests were used for statistical analysis.

Figure 1. Antimicrobial Stewardship Education and Poster Distribution
Results. A total of 260 cases met study eligibility. In the pre-AAW group, 56 of 131 cases presented with ASB, of which 16 were treated with antibiotics (28.6%). In the post-AAW group, 55 of 129 cases presented with ASB, and 5 were treated with antibiotics (9.1%). Antibiotics were prescribed more often for patients with ASB in the pre-AAW group compared to those in the post-AAW group (p=0.014). Forty providers completed the survey, of which 97.5% had seen the visual aids, 70% had found the education "very" or "extremely" useful, and 43.6% reported they "always or sometimes" treated ASB pre-AAW vs 15% post-AAW (p< 0.01).
Conclusion. AS posters and education defining ASB significantly decreased the treatment of ASB. AAW education on ASB antimicrobial stewardship demonstrated a high value and shifted prescribing behavior to avoid antibiotic treatment of ASB. A similar approach to deliver provider education could serve as a valuable model to change provider AS practices for ASB.
Disclosures. All Authors: No reported disclosures

Development of a Machine Learning Prediction Model to Select Empirical Antibiotics in Patients with Clinically Suspected Urinary Tract Infection using Urine Culture Data
Chungsoo Kim, n/a 1 ; Rae Woong Park, n/a 1 ; Sandy J. Rhie, n/a 2 ; 1 Ajou University, Suwon-si, Kyonggi-do, Republic of Korea 2 Ewha Womans University, Seoul, Seoult'ukpyolsi, Republic of Korea

Session: P-09. Antimicrobial Stewardship: Trends in Antimicrobial Prescribing
Background. Increasing antimicrobial resistance and the emergence of superbugs are problems globally. Inappropriate empiric antibiotic use would be a reason to cause antibiotic resistance. However, it has been a challenge to prescribe empiric antibiotics as it is difficult to identify the causative organism beforehand. In this study, we aimed to develop a prediction model to estimate the risk of antibiotics resistance using urine culture tests.
Methods. The study population included adult patients who had at least one of the results from a urine culture test and antibiotic susceptibility tests (from ampicillin, ceftriaxone, ciprofloxacin, gentamicin, levofloxacin, nitrofurantoin, tetracycline, trimethoprim/sulfamethoxazole) on admission to Ajou University Medical Center. Outcomes were defined as a resistant or intermediate susceptibility. Candidate predictors were diagnosis, prescription, visit, laboratory, procedures of the study population. We split data to 75:25 for training and test. Lasso logistic regression (LLR), extreme gradient boosting machine (XGB), Random Forest (RF) were used as model algorithms. The models were evaluated by an area under the curve of receiver operator characteristics curve (AUROC), precision-recall curve (AUPRC), and its calibration. All codes are available in https://github.com/ABMI/AbxBetterChoice Results. Total 33 covariates were selected for final prediction models. The RF showed the highest AUROC in the ceftriaxone and tetracycline models (0.823, 0.626, respectively). The XGB presented the highest AUROC for ciprofloxacin and nitrofurantoin (0.731, 0.706, respectively). The AUROC of RF and the XGB were the same in an ampicillin model (0.633). For gentamicin, levofloxacin, and trimethoprim/sulfamethoxazole, the AUROC of LLR was the highest (0.838, 0.831, 0.615, respectively). Among the models, the AUROC was the highest in the gentamicin model regardless of algorithms. All calibrations of the models were acceptable.

Conclusion.
We developed prediction models with competing performances of discrimination and calibration. It would contribute to the proper selection of empiric antibiotics susceptible to those causative pathogens in hospitalized patients with a clinically suspected urinary tract infection. Disclosures.