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Supplemental Digital Content is available in the text., Introduction: The Centers for Disease Control and Prevention recommends tracking risk-adjusted antimicrobial prescribing. Prior studies have used prescribing variation to drive quality improvement initiatives without adjusting for severity of illness. The present study aimed to determine the relationship between antimicrobial prescribing and risk-adjusted ICU mortality in the Pediatric Health Information Systems (PHIS) database, assessed by IBM-Watson risk of mortality. A nested analysis sought to assess an alternative risk model incorporating laboratory data from federated electronic health records. Methods: Retrospective cohort study of pediatric ICU patients in PHIS between 1/1/2010 and 12/31/2019, excluding patients admitted to a neonatal ICU, and a nested study of PHIS+ from 1/1/2010 to 12/31/2012. Hospital antimicrobial prescription volumes were assessed for association with risk-adjusted mortality. Results: The cohort included 953,821 ICU encounters (23,851 [2.7%] nonsurvivors). There was 4-fold center-level variability in antimicrobial use. ICU antimicrobial use was not correlated with risk-adjusted mortality assessed using IBM-Watson. A risk model incorporating laboratory data available in PHIS+ significantly outperformed IBM-Watson (c-statistic 0.940 [95% confidence interval 0.933–0.947] versus 0.891 [0.881–0.901]; P < 0.001, area under the precision recall curve 0.561 versus 0.297). Risk-adjusted mortality was inversely associated with antimicrobial prescribing in this smaller cohort using both the PHIS+ and Watson models (P = 0.05 and P < 0.01, respectively). Conclusions: Antimicrobial prescribing among pediatric ICUs in the PHIS database is variable and not associated with risk-adjusted mortality as assessed by IBM-Watson. Expanding existing administrative databases to include laboratory data can achieve more meaningful insights when assessing multicenter antibiotic prescribing practices.

OBJECTIVE: Mechanical ventilation of patients with ARDS should balance lung and diaphragm protective principles, which may be difficult to achieve in routine clinical practice. Through a Phase I clinical trial, we sought to determine whether a computerized decision support (CDS) based protocol (Real-time Effort Driven ventilator management (REDvent)) is feasible to implement, results in improved acceptance for lung and diaphragm protective ventilation and improves clinical outcomes over historical controls. DESIGN: Interventional non-blinded pilot study SETTING: Pediatric Intensive Care Unit PATIENTS: Mechanically ventilated children with ARDS INTERVENTIONS: A CDS tool was tested which prioritized lung protective management of ΔP (PIP-PEEP), PEEP/FiO(2), and ventilator rate. Esophageal manometry was used to maintain patient effort in a physiologic range. Protocol acceptance was reported, and enrolled patients were matched 4:1 with respect to age, initial OI, and percentage of immune compromise to historical control patients for outcome analysis. MEASUREMENTS AND MAIN RESULTS: Thirty-two patients were included. Acceptance of protocol recommendations was over 75%. 128 matched historical controls were used for analysis. Compared to historical controls, patients treated with REDvent received lower ΔP and V(T), and higher PEEP when FiO(2) was > 0.60. REDvent was associated with 6 more ventilator free days, shorter duration until the first spontaneous breathing trial and 3 fewer days on MV amongst survivors (all p = < 0.05) in comparison to historical controls, while maintaining no difference in the rate of reintubation. CONCLUSIONS: A CDS based protocol prioritizing lung protective ventilation balanced with reduction of controlled ventilation to maintain physiologic levels of patient effort can be implemented and may be associated with shorter duration of ventilation.