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Objective:In the era of widespread resistance, there are 2 time points at which most empiric prescription errors occur among hospitalized adults: (1) upon admission (UA) when treating patients at risk of multidrug-resistant organisms (MDROs) and (2) during hospitalization, when treating patients at risk of extensively drug-resistant organisms (XDROs). These errors adversely influence patient outcomes and the hospital’s ecology.Design and setting:Retrospective cohort study, Shamir Medical Center, Israel, 2016.Patients:Adult patients (aged >18 years) hospitalized with sepsis.Methods:Logistic regressions were used to develop predictive models for (1) MDRO UA and (2) nosocomial XDRO. Their performances on the derivation data sets, and on 7 other validation data sets, were assessed using the area under the receiver operating characteristic curve (ROC AUC).Results:In total, 4,114 patients were included: 2,472 patients with sepsis UA and 1,642 with nosocomial sepsis. The MDRO UA score included 10 parameters, and with a cutoff of ≥22 points, it had an ROC AUC of 0.85. The nosocomial XDRO score included 7 parameters, and with a cutoff of ≥36 points, it had an ROC AUC of 0.87. The range of ROC AUCs for the validation data sets was 0.7–0.88 for the MDRO UA score and was 0.66–0.75 for nosocomial XDRO score. We created a free web calculator (https://assafharofe.azurewebsites.net).Conclusions:A simple electronic calculator could aid with empiric prescription during an encounter with a septic patient. Future implementation studies are needed to evaluate its utility in improving patient outcomes and in reducing overall resistances.

Aim: Recent guidelines recommended removing metronidazole as a therapeutic option for Clostridioides difficile infections (CDI). However, superiority of vancomycin over metronidazole in mild CDI is not established and use of vancomycin might lead to emergence of vancomycin-resistant enterococci (VRE). Patients & methods: A retrospective cohort study and efficacy analyses were conducted at Shamir Medical Center, Israel (2010–2015), among adults with acute CDI. Results: A total of 409 patients were enrolled. In multivariable analyses, metronidazole was noninferior to vancomycin for mild CDI, but vancomycin was an independent predictor for post-CDI VRE acquisition. Conclusion: A significant independent association was evident between treatment with vancomycin and, later, acquisition of VRE. In first episodes of mild acute CDI, metronidazole should be considered a valid therapeutic option.

Background In the era of widespread resistance, there are two events in the course of a hospitalized septic patient where the majority of empiric prescription errors occur: (1) infections upon admission (UA) due to multi-drug-resistant organisms (MDRO) and (2) nosocomial infections due to extensively drug-resistant organisms (XDRO). These errors seriously impact patient outcomes and the ecological burden of resistance. Our objective was to develop a tool, to calculate the probability of MDRO UA, and nosocomial XDRO infections, in order to reduce delays in initiating appropriate therapy to the “right population,” i.e., with “resistant pathogens,” while avoiding overuse of broader (frequently more toxicת less efficacious) therapeutics to the “wrong population,” i.e., with “susceptible pathogens.” Methods Retrospective case–control analyses were conducted for septic adults at Shamir Medical Center, Israel (2016). Logistic regression was used to develop models of risk factors. All parameters incorporated into the models were readily accessible at the point of care. The performances of the development cohorts, and on 8 other validation cohorts, were assessed by the area under the receiver operating characteristic curve (ROC AUC). A web calculator (mobile modifiable) was generated. Results A total of 4,199 patients were enrolled: 2,472 with sepsis UA, and 1,727 with nosocomial sepsis. The “MDR UA score” included 10 parameters and with a cutoff of ≥22 points, had a ROC AUC of 0.85 (sensitivity 86%, NPV 98%). The “Nosocomial XDR score” included 7 parameters and with a cutoff of ≥36 points, had a ROC AUC of 0.88 (sensitivity 90%, NPV 96%). The median ROC AUC was 0.75 among the validation cohorts of the “MDR UA score,” and 0.66 among the “Nosocomial XDR score.” A free web tool was generated: https://assafharofe.azurewebsites.net/. Conclusion A simple electronic calculator was generated to aid in bedside empiric prescription practices. The tool is composed of two scores to assist in common scenarios where the majority of errors occur. Prospective interventional investigations, should trial the performances of this tool in improving patient outcomes and the ecological burden in the facility. Disclosures All authors: No reported disclosures.