Improvement in Diagnosis and Management of Nosocomial Pneumonias in a Cardiovascular Surgery Intensive Care Unit: A Multidisciplinary Approach.

antimicrobial stewardship diagnostic stewardship infection prevention and control informatics nosocomial pneumonia visual analytics

Journal

Antibiotics (Basel, Switzerland)
ISSN: 2079-6382
Titre abrégé: Antibiotics (Basel)
Pays: Switzerland
ID NLM: 101637404

Informations de publication

Date de publication:
26 Jun 2024
Historique:
received: 29 04 2024
revised: 17 06 2024
accepted: 20 06 2024
medline: 27 7 2024
pubmed: 27 7 2024
entrez: 27 7 2024
Statut: epublish

Résumé

While criteria for the diagnosis of nosocomial pneumonias exist, objective definitions are a challenge and there is no gold standard for diagnosis. We analyzed the impact of the implementation of a logical, consensus-based diagnostic and treatment protocol for managing nosocomial pneumonias in the cardiovascular surgery intensive care unit (CVS-ICU). We conducted a quasi-experimental, interrupted time series analysis to evaluate the impact of a diagnostic and treatment protocol for nosocomial pneumonias in the CVS-ICU. Impacts were measured relative to patient outcomes, diagnostic processes, and antimicrobial stewardship improvement. Descriptive statistics were used to analyze results. Overall, 35 pre-protocol and 39 post-protocol patients were included. Primary clinical variables suggesting pneumonia in pre- and post-protocol patients were new lung consolidation (50% vs. 71%), new leukocytosis (59% vs. 64%), and positive culture (32% vs. 55%). Appropriate diagnostic testing improved (23% vs. 54%, The implementation of a diagnostic and treatment protocol for management of nosocomial pneumonias in the CVS-ICU resulted in improved diagnostic accuracy, advanced antimicrobial and diagnostic stewardship efforts, and laboratory cost savings without an adverse impact on patient-centered outcomes.

Sections du résumé

BACKGROUND BACKGROUND
While criteria for the diagnosis of nosocomial pneumonias exist, objective definitions are a challenge and there is no gold standard for diagnosis. We analyzed the impact of the implementation of a logical, consensus-based diagnostic and treatment protocol for managing nosocomial pneumonias in the cardiovascular surgery intensive care unit (CVS-ICU).
METHODS METHODS
We conducted a quasi-experimental, interrupted time series analysis to evaluate the impact of a diagnostic and treatment protocol for nosocomial pneumonias in the CVS-ICU. Impacts were measured relative to patient outcomes, diagnostic processes, and antimicrobial stewardship improvement. Descriptive statistics were used to analyze results.
RESULTS RESULTS
Overall, 35 pre-protocol and 39 post-protocol patients were included. Primary clinical variables suggesting pneumonia in pre- and post-protocol patients were new lung consolidation (50% vs. 71%), new leukocytosis (59% vs. 64%), and positive culture (32% vs. 55%). Appropriate diagnostic testing improved (23% vs. 54%,
CONCLUSIONS CONCLUSIONS
The implementation of a diagnostic and treatment protocol for management of nosocomial pneumonias in the CVS-ICU resulted in improved diagnostic accuracy, advanced antimicrobial and diagnostic stewardship efforts, and laboratory cost savings without an adverse impact on patient-centered outcomes.

Identifiants

pubmed: 39061272
pii: antibiotics13070590
doi: 10.3390/antibiotics13070590
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Kirstin J Kooda (KJ)

Department of Pharmacy Services, Mayo Clinic, Rochester, MN 55902, USA.

Alejandra A Zambrano (AA)

Department of Infection Prevention and Control, Mayo Clinic, Rochester, MN 55902, USA.

Dylan L Kosaski (DL)

Department of Pharmacy Services, Mayo Clinic, Rochester, MN 55902, USA.

Leah Higbe (L)

Department of Infection Prevention and Control, Mayo Clinic, Rochester, MN 55902, USA.

William Brian B Beam (WBB)

Department of Anesthesiology, Mayo Clinic, Rochester, MN 55902, USA.

J Kyle K Bohman (JKK)

Department of Anesthesiology, Mayo Clinic, Rochester, MN 55902, USA.

Erica D Wittwer (ED)

Department of Anesthesiology, Mayo Clinic, Rochester, MN 55902, USA.

Steven D Brady (SD)

Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55902, USA.

Allison M LeMahieu (AM)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55902, USA.

Madiha Fida (M)

Division of Public Health, Infectious Diseases and Occupational Medicine, Mayo Clinic, Rochester, MN 55902, USA.

Aditya Shah (A)

Division of Public Health, Infectious Diseases and Occupational Medicine, Mayo Clinic, Rochester, MN 55902, USA.

Classifications MeSH