A "resistance calculator": Simple stewardship intervention for refining empiric practices of antimicrobials in acute-care hospitals.

ABSTRACT:

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

SUBMITTER: Zilberman-Itskovich S 

PROVIDER: S-EPMC8459314 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature