A Pragmatic Biomarker-Driven Algorithm to Guide Antibiotic Use in the Pediatric Intensive Care Unit: The Optimizing Antibiotic Strategies in Sepsis (OASIS) Study | Zendy

Kevin J. Downes | Zendy; Scott L. Weiss | Zendy; Jeffrey S. Gerber | Zendy; Sarah B. Klieger | Zendy; Julie C. Fitzgerald | Zendy; Fran Balamuth | Zendy; Sherri Kubis | Zendy; Pam Tolomeo | Zendy; Warren B. Bilker | Zendy; Xiaoyan Han | Zendy; Irving Nachamkin | Zendy; Charles Garrigan | Zendy; Jennifer Han | Zendy; Ebbing Lautenbach | Zendy; Susan Coffin | Zendy

Open Access

A Pragmatic Biomarker-Driven Algorithm to Guide Antibiotic Use in the Pediatric Intensive Care Unit: The Optimizing Antibiotic Strategies in Sepsis (OASIS) Study

Author(s) -

Kevin J. Downes,

Scott L. Weiss,

Jeffrey S. Gerber,

Sarah B. Klieger,

Julie C. Fitzgerald,

Fran Balamuth,

Sherri Kubis,

Pam Tolomeo,

Warren B. Bilker,

Xiaoyan Han,

Irving Nachamkin,

Charles Garrigan,

Jennifer Han,

Ebbing Lautenbach,

Susan Coffin

Publication year - 2016

Publication title -

journal of the pediatric infectious diseases society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.269

H-Index - 31

eISSN - 2048-7207

pISSN - 2048-7193

DOI - 10.1093/jpids/piw023

Subject(s) - medicine , antibiotics , sepsis , intensive care unit , intensive care medicine , biomarker , de escalation , algorithm , microbiology and biotechnology , computer science , biochemistry , chemistry , biology

Biomarkers that identify critically ill children with systemic inflammatory response syndrome (SIRS) at low risk for bacterial infection may help clinicians reduce unnecessary antibiotic use.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research