Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

Toward improved surveillance: The impact of ventilator-associated complications on length of stay and antibiotic use in patients in intensive care units

Clinical Infectious Diseases, Volume 56, No. 4, Year 2013

Background. Hospitals and quality improvement agencies are vigorously focusing on reducing rates of hospital-acquired infection. Ventilator-associated pneumonia (VAP) is notoriously difficult to diagnose and surveillance is thwarted by the subjectivity of many components of the surveillance definition. Alternative surveillance strategies are needed. Ventilator-associated complications (VAC) is a simple, objective measure of respiratory deterioration.Methods. VAC is defined by increases in fraction of inspired oxygen (FiO2) by ≥15% or positive end-expiratory pressure (PEEP) by ≥2.5 cm H2O lasting ≥2 days after stable or decreasing FiO2 or PEEP lasting ≥2 days. We retrospectively assessed patients on mechanical ventilation for ≥48 hours in our study intensive care unit (ICU) using electronic medical record data. We analyzed the association between VAC and clinical diagnoses, ICU length of stay, duration of mechanical ventilation, antibiotic use, and mortality.Results. We assessed 153 patients with VAC and 390 without VAC. VAC events were associated with significantly increased ICU length of stay, duration of mechanical ventilation, and consumption of broad-spectrum antibiotics but not with longer hospital stays or ICU mortality. Conclusions. Surveillance for VAP is subjective and labor intensive. VAC is an objective measure which can be readily obtained from electronic records. It is associated with adverse outcomes and increased broad-spectrum antibiotic usage. VAC may be a useful surveillance tool. The utility of VAC prevention bundles merits assessment. © 2012 The Author 2012. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. All rights reserved. For Permissions, please e-mail: [email protected].
Statistics
Citations: 129
Authors: 5
Affiliations: 5
Identifiers
Research Areas
Health System And Policy