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Thymic epithelial tumors (TET) are rare and large molecular studies are therefore difficult to perform. However, institutional case series and rare multi-institutional studies have identified a number of interesting molecular aberrations in TET, including gene fusions in a subset of these tumors. These gene fusions can aid in the diagnosis, shed light on the pathogenesis of a subset of tumors, and potentially may provide patients with the opportunity to undergo targeted therapy or participation in clinical trials. Gene fusions that have been identified in TET include MAML2 rearrangements in 50% to 56% of mucoepidermoid carcinomas (MAML2::CRTC1), 77% to 100% of metaplastic thymomas (YAP1::MAML2), and 6% of B2 and B3 thymomas (MAML2::KMT2A); NUTM1 rearrangements in NUT carcinomas (most commonly BRD4::NUTM1); EWSR1 rearrangement in hyalinizing clear cell carcinoma (EWSR1::ATF1); and NTRK rearrangement in a thymoma (EIF4B::NTRK3). This review focuses on TET in which these fusion genes have been identified, their morphologic, immunophenotypic, and clinical characteristics and potential clinical implications of the fusion genes. Larger, multi-institutional, global studies are needed to further elucidate the molecular characteristics of these rare but sometimes very aggressive tumors in order to optimize patient management, provide patients with the opportunity to undergo targeted therapy and participate in clinical trials, and to elucidate the pathogenesis of these tumors.

Abstract Background Hospitalized patients are frequently discharged to a skilled nursing facility (SNF) for parenteral antibiotic therapy (PAT). While there are studies describing the healthcare utilization and outcomes of individuals receiving post-hospital PAT in non-institutional settings, characterization of the PAT experience among SNF patients remains limited. To address this gap in knowledge, we conducted a retrospective cohort study of hospitalized patients discharged to a SNF on antimicrobial therapy. Methods Health records of patients (age ≥18 years) hospitalized in a single hospital who were discharged on systemic antibiotics to a SNF from 1/1/2016 - 12/31/2018 were reviewed. Subjects who received an inpatient ID consultation and were discharged on PAT were included. Information captured included patient demographics, diagnoses, discharge antibiotic regimen and timing, post-discharge encounters, 90-day hospital readmissions, and losses to follow-up. This study was approved by the Institutional Review Board with a waiver for informed consent. Results 155 patients meeting the inclusion criteria were identified. Post-discharge follow-up with the ID Service was not recommended for 19 patients (12.3%). Patients who followed-up post-discharge had a total of 264 sub-specialty provider (mean: 2.8/patient; range: 0-13) and 170 ID provider (mean: 1.7/patient; range: 0-5) face-to-face encounters within 90 days of discharge. Average time to ID clinic follow-up was 3.2 weeks (range: 1-6 weeks). ID clinic nursing staff conducted 1373 telephone encounters (mean: 13.9/patient; range, 3-40) with SNF nursing staff within 90 days of discharge. The 90-day hospital readmission rate was 37% (36/101 patients) and 47% of readmissions were ID-related. The 90-day mortality rate was 9%; 2 patients died before and 7 after outpatient follow-up was established. Conclusion ID clinic follow-up of patients discharged to a SNF on PAT was infrequent, but their care entailed a higher volume of telephone care coordination, and they experienced higher readmission rates relative to patients receiving PAT in ambulatory settings. Further studies to better understand if these findings are driven by patient factors or issues related to SNF care practices are needed. Disclosures All Authors: No reported disclosures

Abstract Background Post-discharge culture and susceptibility review has been described in emergency department and urgent care settings, but there is a lack of published literature describing culture review after acute care hospitalizations. Awaiting microbiology results can impede timely patient discharge. However, discharging patients while microbiology results are pending may result in suboptimal therapy or lost opportunity for additional testing/follow up. We implemented an antimicrobial stewardship effort to identify microbiology tests that result post-discharge utilizing a custom report in the electronic medical record (EMR). Methods. This retrospective descriptive study included adult patients ( >18 years of age) at 4 sites within Mayo Clinic from 1/1/2019 to 2/28/2023. Eligible patients had a hospitalization with an ID consult and an abnormal culture that was reviewed by an antimicrobial stewardship pharmacist after discharge. Urine cultures were excluded. The details of pharmacist-initiated antimicrobial stewardship interventions based on the culture review were identified by an EMR based research report. Results A total of 6803 patient encounters with at least 1 microbiology result reviewed post-discharge were identified. Patients were 40% female with a median age of 62 years. Patient race was 89.8% white, 4% black/African American, 1.5% Asian, and < 1% other. Of these patients, 1983 (29%) had at least one pharmacist intervention. A total of 169 (2.5%) of these patients had multiple interventions. Interventions included modification of antimicrobial therapy, addition of susceptibility testing, or additional follow up (labs, imaging, or patient visits). Median time from culture update to pharmacist review was 27.2 hours. Median length of hospital stay was 5 days and discharge disposition was home with self care (65%), home with home health or hospice (22.7%), or discharge to another acute care or skilled nursing facility (12.3%). Conclusion Outpatient review of post-discharge culture updates utilizing EMR reporting led to substantial interventions impacting antimicrobial treatments. Disclosures Christina G. Rivera (O'Connor), Pharm.D, Gilead Sciences: Advisor/Consultant|Gilead Sciences: Board Member|Gilead Sciences: Grant/Research Support|Gilead Sciences: Honoraria

Abstract Background Post-COVID conditions (PCC) are common, and risk factors include older age and female sex. While high interleukin (IL)-6 and C-reactive protein are associated with more severe disease, it is unclear whether other cytokines are associated with PCC. This study was performed to identify factors associated with PCC development. Methods The Convalescent Plasma to Limit SARS-CoV-2 Associated Complications (CSSC-004) trial was a double-blind, multi-center, randomized, controlled trial comparing the use of COVID-19 convalescent plasma (CCP) to control plasma for the prevention of hospitalization among COVID-19 outpatients. Among 882 individuals participating in the trial with available biospecimens and symptom data, the association between early COVID-19 treatment, cytokine levels and PCC was evaluated. Cytokine and chemokine levels were assessed at baseline, day 14 and day 90 using a multiplexed sandwich immuosassay. Presence of any PCC symptom was assessed at day 90. Associations between COVID-19 treatment, cytokine levels and PCC were examined using multivariate logistic regression models. Results Baseline characteristics were similar by trial treatment group (Figure 1). At day 90, 292 (33.1%) participants had PCC. The most common symptoms were fatigue (14.5%), anosmia (14.5%), and ageusia (10.0%). Levels of most cytokines decreased over time (Figure 2). Six pro-inflammatory cytokines especially IL-6 were elevated at baseline among those with PCC (Figure 3). In multivariable analysis, female sex (adjusted odds ratio [AOR]=2.70[1.93-3.81]), age 50 or greater (AOR=1.32[1.17-1.50]), and elevated baseline IL-6 (AOR=1.59[1.02-2.47]) were associated with development of PCC, whereas race, obesity, vaccine status and diabetes were not. Those who received early CCP treatment (<5 days after symptom onset) compared to late CCP treatment had statistically significant lower odds of PCC (AOR=0.60 [0.38-0.95]). Conclusion This study showed high prevalence of PCC symptoms at day 90, particularly among those with higher baseline levels of IL-6 or who did not receive early CCP treatment. The potential utility of IL-6 modulation as a therapeutic intervention among individuals as higher risk for PCC should be studied. Disclosures Kelly Gebo, MD, MPH, Pfizer: Advisor/Consultant|Spark HealthCare: Advisor/Consultant Sonya L. Heath, MD, Pfizer: Data Monitoring Committee/DSMB Shmuel Shoham, MD, adagio: Advisor/Consultant|Adamis: Advisor/Consultant|ansun: Grant/Research Support|Avir Pharma: Honoraria|cidara: Grant/Research Support|F2G: Grant/Research Support|Immunome: Advisor/Consultant|Karius: Honoraria|Scynexis: Advisor/Consultant|zeteo: Grant/Research Support Judith S. Currier, M.D., MSc, Merck and Company: Advisor/Consultant|Merck and Company: Honoraria Moises A. Huaman, MD, MSc, AN2 Therapeutics Inc: Grant/Research Support|Gilead Sciences Inc: Grant/Research Support|Insmed Inc: Grant/Research Support Jay S. Raval, MD, Sanofi Genzyme: Advisor/Consultant Arturo Casadevall, MD, PhD, Ortho Diagnostics: Speakers Bureau|Sabtherapeutics: Advisor/Consultant

Abstract Background Treatment for first recurrent Clostridioides difficile infection (frCDI) or multiply recurrent CDI (mrCDI) is complex and may include antibiotics, monoclonal antibodies, or fecal transplantation. Improved understanding of rCDI pathogenesis can help guide treatment. We report microbiome findings of patients (pts) with frCDI and mrCDI from a post hoc analysis of two phase 3 trials with fecal microbiota spores, live-brpk (FMS; formerly SER-109), an FDA-approved, microbiota-based therapeutic comprised of Firmicutes spores. Methods Stool samples were collected from pts with mrCDI in ECOSPOR III (n=158) and with frCDI or mrCDI in ECOSPOR IV (n=218) at baseline (pre-dose) and Week 1 post treatment. Shannon diversity was calculated from species profiles from analysis of whole metagenomic sequencing data using MetaPhlAn2. Primary (1°BA) and secondary bile acid (2°BA) concentrations were measured via targeted liquid chromatography–mass spectrometry panel. Subgroup differences were analyzed with linear mixed models. Results At baseline, Shannon diversity was not significantly different between mrCDI and frCDI groups (P>0.05). At Week 1, Shannon diversity (Fig 1) was greater vs baseline (P< 0.001); gains were not significantly different between subgroups (P>0.05). For pts receiving FMS vs placebo in ECOSPOR III, greater reductions in 1°BA and increases in 2°BA from baseline–Week 1 were observed, similar to FMS-treated pts in ECOSPOR IV. At Week 1, 2°BA concentrations were greater vs baseline (P< 0.001); similar gains were seen between subgroups (P>0.05) (Fig 2). Consistent with these microbiome findings, in an integrated analysis, rCDI rates with FMS at Week 8 were low in both subgroups (frCDI, 6.5% [5/77] vs mrCDI, 10.3% [28/271]). Conclusion After antibiotics, pts with frCDI or mrCDI had low Shannon diversity and 2°BA concentrations that were no different between subgroups, highlighting a need for microbiome restoration. Both subgroups showed rapid, significant improvement in Shannon diversity and 2°BA concentrations and reductions in 1°BA after FMS, with comparable clinical outcomes. These data suggest that regardless of number of prior CDI episodes, FMS therapy following antibiotics may be an optimal treatment. Disclosures Colleen R. Kelly, MD, Openbiome: Advisor/Consultant|Sebela Pharmaceuticald: Advisor/Consultant Tim Straub, MS, Seres Therapeutics: Employee|Seres Therapeutics: Stocks/Bonds Kevin Litcofsky, PhD, Seres Therapeutics: inventor on patents assigned to Seres Therapeutics|Seres Therapeutics: Employment|Seres Therapeutics: Stocks/Bonds Jennifer R. Wortman, MS, Seres Therapeutics: Employee|Seres Therapeutics: Stocks/Bonds Barbara McGovern, MD, Seres Therapeutics: Stocks/Bonds Brooke Hasson, PhD, Sage Therapeutics: Stocks/Bonds|Seres Therapeutics: Stocks/Bonds Dina Hot, PhD, Aimmune Therapeutics: Employee Darrell Pardi, MD, Abbvie: Advisor/Consultant|AMT: Grant/Research Support|BI: Advisor/Consultant|Immunic: Advisor/Consultant|Rise: Advisor/Consultant|Seres Therapeutics: Advisor/Consultant|Seres Therapeutics: Grant/Research Support|Summit: Advisor/Consultant|Takeda: Grant/Research Support|Vedanta: Advisor/Consultant|Vedanta: Grant/Research Support Christopher Ford, PhD, Seres Therapeutics: Employee|Seres Therapeutics: Stocks/Bonds Matthew Henn, PhD, Seres Therapeutics: Employee|Seres Therapeutics: Stocks/Bonds

Abstract Background The RAPIDS GN trial, a prospective randomized controlled trial, showed that rapid blood culture antibiotic susceptibility testing (AST) led to faster antibiotic therapy changes compared to standard of care (SOC) testing for Gram negative bacteremia (Banerjee et al, Clin Infect Dis (2021) 73:e39-e46). A secondary analysis of the data was conducted to assess impact of rapid testing on appropriateness of antibiotic spectrum by pathogen and resistance profile. Empiric treatment (0 to 2 h post randomization) among subjects with antibiotic-susceptible isolates of monomicrobial, on-panel Gram negative species (N = 320). For this analysis subjects from both SOC and rapid testing groups were included. Black: Excluded from treatment definition if subjects received no antibiotics, antibiotics without susceptibility results reported, or only an aminoglycoside, azithromycin, penicillin, rifaximin, or atovaquone. Antibiotic treatment appropriateness for antibiotic-susceptible Escherichia coli, and Klebsiella and Proteus isolates (N= 240) by time after randomization and treatment arm. Black: Excluded from treatment definition if subjects received no antibiotics, antibiotics without susceptibility results reported, or only an aminoglycoside, azithromycin, penicillin, rifaximin, or atovaquone. AXDX, rapid susceptibility testing group. Methods Subjects enrolled in the RAPIDS GN trial who had blood cultures with monomicrobial Gram negative bacilli that were “on-panel” for the rapid test were included. Antibiotics administered from randomization (0 h) through 52 h were evaluated. Antibiotic therapy was classified based on SOC AST as: undertreatment (antibiotic to which the blood isolate was resistant), appropriate treatment (narrowest spectrum antibiotic to which the blood isolate was susceptible), and overtreatment [overly broad-spectrum antibiotic(s) based on blood isolate AST]. Antibiotic-resistant isolates were defined as 3rd generation cephalosporin non-susceptible or carbapenem-resistant isolates. Antibiotic treatment appropriateness for antibiotic-resistant (3rd generation cephalosporin non-susceptible or carbapenem-resistant) Escherichia coli, and Klebsiella and Proteus isolates (N= 50) by time after randomization and treatment arm. Black: Excluded from treatment definition if subjects received no antibiotics, antibiotics without susceptibility results reported, or only an aminoglycoside, azithromycin, penicillin, rifaximin, or atovaquone. AXDX, rapid susceptibility testing group. Results 388/448 (87%) subjects were included (197 SOC, 191 rapid). Among susceptible isolates, between 0 through 2 h post-randomization (before AST results), overtreatment was more common for Escherichia coli, and Klebsiella and Proteus species than for other species (72% vs. 41%, p ≤0.001; Fig 1). Among 290 E. coli, Klebsiella and Proteus isolates, treatment appropriateness improved with time after randomization in both SOC and rapid testing groups. The proportion with appropriate treatment was higher in the rapid testing group than the SOC group at all time points after 24 h post-randomization and differed by resistance. Overtreatment was common for susceptible isolates while undertreatment was common for resistant isolates (Fig. 2 and 3). Among resistant isolates, by 52 h post-randomization undertreatment decreased to 15% in the rapid testing group but only 35% in the SOC group (Fig 3). Conclusion In the RAPIDS GN trial, rapid AST had the greatest benefit on management of antibiotic-resistant E. coli, Klebsiella, and Proteus bacteremia. These findings can inform antibiotic stewardship and design of future blood culture diagnostic trials. Disclosures Ritu Banerjee, MD, Ph.D, bioMerieux: Grant/Research Support|bioMerieux: company is providing partial support for an ongoing trial unrelated to submitted abstract Sarah B. Doernberg, MD, MAS, Basilea: Clinical events committee/adjudication committee participation|F2G: Grant/Research Support|Genentech: Advisor/Consultant|Gilead: Grant/Research Support|Janssen/J+J: Advisor/Consultant|Pfizer: Grant/Research Support|Regeneron: Grant/Research Support|Shinogi: Clinical events committee/adjudication committee participation Robin Patel, MD, Abbott Laboratories: Advisor/Consultant|Adaptive Phage Therapeutics: Grant/Research Support|Adaptive Phage Therapeutics: Mayo Clinic has a royalty-bearing know-how agreement and equity in Adaptive Phage Therapeutics.|BIOFIRE: Grant/Research Support|CARB-X: Advisor/Consultant|ContraFect: Grant/Research Support|Day Zero Diagnostics: Advisor/Consultant|HealthTrackRx: Advisor/Consultant|Mammoth Biosciences: Advisor/Consultant|Netflix: Advisor/Consultant|Oxford Nanopore Technologies: Advisor/Consultant|PhAST: Advisor/Consultant|See details: Patent on Bordetella pertussis/parapertussis PCR issued, a patent on a device/method for sonication with royalties paid by Samsung to Mayo Clinic|See details: continued, patent on an anti-biofilm substance issued|TenNor Therapeutics Limited: Grant/Research Support|Torus Biosystems: Advisor/Consultant|Trellis Bioscience, Inc.: Advisor/Consultant

Abstract Background Letermovir (LTMV) is approved for CMV prophylaxis during the first 100 days after HSCT. Thereafter, CMV reactivation (CMVr) may still occur. This study aims to evaluate the incidence and risk factors for any CMVr and clinically significant CMV infection (csCMVi) in patients who received LTMV prophylaxis. Methods Retrospective multicenter cohort study of HSCT patients who received 100 days of LTMV prophylaxis from 08/2018 to 09/2022. Categorical and continuous variables were compared with Fisher’s exact and Kruskal-Wallis test respectively. Logistic regression was used to identify risk factors. Results Of 115 HSCT patients, 28 had CMVr after LTMV prophylaxis (Table 1), including 21 with csCMVi (Table 2). Of note, 29 (25.2%) patients had breakthrough CMV during LTMV prophylaxis. Among 28 cases of post-LTMV CMVr, DNAemia occurred with a median of 38.5 (31.3 – 47) days after stopping LTMV. The median absolute lymphocyte count (ALC) at diagnosis was 1.29 (0.41 – 2.04) x109cells/L. Median peak CMV DNAemia at was 482 (100.5 – 2600) IU/mL, with a duration of 29 (20- 35) days; none had end organ disease. All were receiving immunosuppression for graft-versus-host disease treatment (n=18) or prophylaxis (n=10). Risk factors for CMVr and csCMVi are listed in Table 3. For CMVr, univariate analysis showed that CMV D-/R+ status is associated with increased risk, while having CMV D+ donors or acute myeloid leukemia (AML) had lower risk. Multivariable analysis showed D-/R+ status and breakthrough viremia while on LTMV were associated with increased risk. csCMVi in 21 patients were treated with valganciclovir (n=15) or IV ganciclovir (n=6) for a median duration of 37 (25.5 – 50) days. Univariate analysis showed that acute lymphoblastic leukemia (ALL) and reduced intensity conditioning were associated with increased risk, while AML had lower risk of csCMVi. On multivariable analysis, ALL, and D-/R+ had higher risk while AML had lower risk. Demographics and clinical characteristics of allogeneic hematopoietic stem cell recipients with or without late clinically significant CMV infection Conclusion One in four allogeneic HSCT patients who received LTMV developed post-prophylaxis CMVr within 100 to 200 days post-transplant. CMV D-/R+ status had a higher risk for CMVr and csCMVi after LTMV discontinuation. Patients with AML had a lower risk for CMVr and csCMVi. Disclosures Raymund R. Razonable, MD, Allovir: Endpoint Adjudication Committee|American Society of Transplantation: Board Member|Gilead: Grant/Research Support|Novartis: DSMB|Regeneron: Grant/Research Support|Roche: Grant/Research Support

Abstract Background Optimizing antimicrobial regimens for outpatients with community-acquired pneumonia (CAP) represents an area of opportunity for ambulatory antimicrobial stewardship programs. A pre-populated, antibiotic order panel for outpatient respiratory syndromes was implemented in the Mayo Clinic Enterprise on 1/4/2021. For CAP, it provides national guideline adherent regimens (i.e., selection, dosing, and durations) by patient comorbidity and beta-lactam allergy status. We aimed to assess impacts of panel use on antibiotic prescribing in outpatients with CAP. Methods This retrospective review included Mayo Clinic outpatient encounters from Minnesota in 2021 and 2022. Eligible encounters used a CAP-related primary ICD-10 code, conveyed intention to treat CAP in encounter notes, and were performed by primary care, emergency department, or urgent care clinicians who managed ≥1 CAP patient with the panel and ≥1 without the panel during the study period. Encounters were excluded if patients were already receiving antibiotics at the time of encounter. The primary outcome was adherence (drug and duration) to guideline recommendations. Secondary outcomes included utilization rate by agent and therapy duration. Outcomes were analyzed with Kruskal-Wallis rank sum and Pearson’s chi-squared tests (α level = 0.05). Results 352 encounters (134 panel vs. 218 non-panel) were included. Prescribing was guideline adherent in 61.9% and 29.4% (p< 0.01) of panel and non-panel encounters, respectively. The most common reason for guideline non-adherence during panel use was inappropriate drug selection (n = 45/51, 88.2%). This was predominantly driven by use of the incorrect section of the treatment panel based on patient comorbidity status (n = 30/45, 66.7%). Individual antibiotic utilization rates differed between panel and non-panel cohorts (Table 1), with higher rates of amoxicillin and amoxicillin/clavulanate use and lower rates of azithromycin and doxycycline use in the panel cohort. Durations >5 days were more common in the non-panel as compared to the panel cohort (34.4% vs. 7.5%, p < 0.01). Conclusion Use of a pre-populated antimicrobial order panel in outpatients with CAP resulted in greater adherence to national guideline recommendations. Disclosures Paschalis Vergidis, MD, MSc, AbbVie: Advisor/Consultant|Ansun: Grant/Research Support|Cidara: Grant/Research Support|Scynexis: Grant/Research Support

Abstract Background Early diagnosis, prognostication, and treatment initiation are the cornerstones of sepsis management. There remains an immense interest in exploring the diagnostic and prognostic roles of neutrophil-lymphocyte ratio (NLR) in the sepsis population. Methods We performed a retrospective multi-center observational study including patients admitted to different Mayo Clinic sites with a diagnosis of sepsis between October 2018 and August 2022. Patients were excluded if they were aged < 18 years, lacked research authorization, or had missing Neutrophil or Lymphocyte count at admission. Data were collected from an existing sepsis database and Mayo Data Explorer (MDE). Categorical variables were summarized as percentages and continuous variables were summarized as medians. Chi-square test for significance, independent sample t-test, and multivariate Cox Proportional Hazard models were performed on IBM SPSS Statistics v28.0. Results Our study cohort consisted of 13968 patients, of which the majority were males (55.9%), Caucasian (91.6%), and non-Hispanic or Latino (94.3%). The median age of the cohort was 71 (60, 80) years, and the median BMI was 27.7 (23.4, 33.3) kg/m2. Among all sepsis patients, 6.0% had a positive blood culture and the most common organisms were E. coli (26.5%), Klebsiella sp. (15.6%), Streptococcus sp. (12.8%) and Staphylococcus aureus (9.9%). 13131 patients (94.1%) survived the hospital stay and 837 (5.9%) did not. There was no difference in mortality based on blood culture positivity status (6.0% vs 6.6%, p=0.41). However, the median NLR was higher among patients with a positive blood culture (16.4 vs. 12.1, p< 0.001) and among non-survivors (14.3 vs 12.2, p< 0.001). NLR did not significantly vary based on the type of organism growing in the blood culture. A multivariate model revealed NLR as an independent predictor of mortality (HR 1.003, 95% CI: 1.000-1.006, p=0.029) after adjusting for comorbidities, baseline clinical and laboratory variables. (Tables 1 & 2) Conclusion Our retrospective multicentric study showed that the Neutrophil-Lymphocyte ratio at admission was higher among bacteremic sepsis patients and non-survivors. Further prospective studies are needed to explore its diagnostic and prognostic utility. Disclosures All Authors: No reported disclosures

Abstract Background Several randomized controlled trials (RCT) have shown that short-course (∼7 days) antibiotic treatment is non-inferior to longer antibiotic courses (∼14 days) in patients with uncomplicated bloodstream infection (BSI) with mostly susceptible Gram-negative bacteria. Here, we evaluate short-course therapy in ceftriaxone-resistant E. coli BSI. Methods In a prospective cohort of 300 patients with E. coli BSI at 14 United States hospitals between November 2020 and April 2021, each patient with ceftriaxone-R E. coli BSI, and the next consecutive patient with a ceftriaxone-S E. coli BSI was included. Patients who received 5-8 days (“short”) or 9-21 days (“long”) of antibiotics were included in this analysis. Patients who died before day 9 were excluded. Primary outcome was a Desirability of Outcome Ranking (DOOR, Table 1) based on disposition at day 30 after collection of the index blood culture. Ceftriaxone susceptibility was centrally determined using broth microdilution for all bacterial isolates. Desirability of outcome ranking (DOOR) categories Results Of 300 patients in the original cohort, 227 were included; 44 patients (24 ceftriaxone-S, 20 ceftriaxone-R) received short (median 8 days, range 5-8 days), and 183 patients (96 ceftriaxone-S, 87 ceftriaxone-R) received long duration (median 15 days, range 9-21 days). Age (median 68 years, IQR 57-77 years), sex (125/227 [55%] female), and Charlson comorbidity index (median 2, IQR 1-4) were similar between groups. Notably, almost all patients (18/19, 95%) with solid organ or stem cell transplant were in the long duration group. The median Pitt bacteremia score was 2 (IQR 1-3) in the short duration group vs. 1 (IQR 0-3) in the long duration group (Wilcoxon Rank Sum p=0.07). DOOR outcomes were similar in both groups (Figure and Table 2). Numerically more patients in the ceftriaxone-resistant group on short treatment were in category 3; 4/20 (20%) vs 5/87 (6%) in the long duration group. These 4 patients all had unsuccessful discharge combined with renal failure (n=2), and/or lack of clinical response (n=3). Desirability of outcome ranking (DOOR) analysesFigure.DOOR outcomes Shown are the percentages of patients in each group with a specific DOOR category outcome. Conclusion Short duration of therapy was less frequently used than long duration of therapy in this prospective cohort of E. coli BSI. Further studies are needed to determine whether short-course therapy is appropriate for ceftriaxone-R E. coli BSI. Disclosures Yohei Doi, MD, PHD, bioMerieux: Advisor/Consultant|FujiFilm: Advisor/Consultant|Gilead: Advisor/Consultant|Gilead: Honoraria|GSK: Advisor/Consultant|Meiji Seika Pharma: Advisor/Consultant|Moderna: Advisor/Consultant|Moderna: Honoraria|MSD: Advisor/Consultant|MSD: Honoraria|Shionogi: Advisor/Consultant|Shionogi: Grant/Research Support|Shionogi: Honoraria Owen Albin, MD, Charles River Laboratories: Advisor/Consultant|Shionogi: Advisor/Consultant Elie Saade, MD, MPH, FIDSA, Envision Pharma: Speaker, Presenter|Johnson and Johnson: Speaker, Travel, Lodging|Protein Sciences Corp: Grant/Research Support|Sanofi Pasteur: Speaker, Travel and Lodging Loren G. Miller, MD MPH, ContraFect: Grant/Research Support|GSK: Grant/Research Support|Medline: Grant/Research Support|Merck: Grant/Research Support|Paratek: Grant/Research Support Michael J. Satlin, MD, AbbVie: IDMC member|Biomerieux: Grant/Research Support|Merck: Grant/Research Support|Shionogi: Advisor/Consultant|SNIPRBiome: Grant/Research Support Martin Krsak, MD, MSc, FASAM, AbbVie: Grant/Research Support|Melinta: Honoraria W. Charles Huskins, MD, MSc, ADMA Biologics: Advisor/Consultant|Bristol Myers Squibb: Stocks/Bonds|Pfizer: Advisor/Consultant|Pfizer: Stocks/Bonds|Zimmer Biomet: Stocks/Bonds Robin Patel, MD, Abbott Laboratories: Advisor/Consultant|Adaptive Phage Therapeutics: Grant/Research Support|Adaptive Phage Therapeutics: Mayo Clinic has a royalty-bearing know-how agreement and equity in Adaptive Phage Therapeutics.|BIOFIRE: Grant/Research Support|CARB-X: Advisor/Consultant|ContraFect: Grant/Research Support|Day Zero Diagnostics: Advisor/Consultant|HealthTrackRx: Advisor/Consultant|Mammoth Biosciences: Advisor/Consultant|Netflix: Advisor/Consultant|Oxford Nanopore Technologies: Advisor/Consultant|PhAST: Advisor/Consultant|See details: Patent on Bordetella pertussis/parapertussis PCR issued, a patent on a device/method for sonication with royalties paid by Samsung to Mayo Clinic|See details: continued, patent on an anti-biofilm substance issued|TenNor Therapeutics Limited: Grant/Research Support|Torus Biosystems: Advisor/Consultant|Trellis Bioscience, Inc.: Advisor/Consultant Vance G. Fowler, MD, MHS, Amphliphi Biosciences, Integrated Biotherapeutics; C3J, Armata, Valanbio; Akagera, Aridis, Roche, Astra Zeneca: Advisor/Consultant|Genentech, Regeneron, Deep Blue, Basilea, Janssen;: Grant/Research Support|Infectious Diseases Society of America: Honoraria|MedImmune, Allergan, Pfizer, Advanced Liquid Logics, Theravance, Novartis, Merck; Medical Biosurfaces; Locus; Affinergy; Contrafect; Karius;: Grant/Research Support|Novartis, Debiopharm, Genentech, Achaogen, Affinium, Medicines Co., MedImmune, Bayer, Basilea, Affinergy, Janssen, Contrafect, Regeneron, Destiny,: Advisor/Consultant|Sepsis diagnostic: Patent pending|UpToDate: Royalties|Valanbio and ArcBio: Stock Options David van Duin, MD, PhD, Entasis: Advisor/Consultant|Merck: Advisor/Consultant|Merck: Grant/Research Support|Pfizer: Advisor/Consultant|Pfizer: Honoraria|Qpex: Advisor/Consultant|Roche: Advisor/Consultant|Shionogi: Advisor/Consultant|Shionogi: Grant/Research Support|Union: Advisor/Consultant|Utility: Advisor/Consultant