TY - JOUR
T1 - Validation and assessment of the new surveillance paradigm for ventilator-associated events
AU - Van Mourik, M S
AU - Klein Klouwenberg, Peter M C
AU - Ong, David S Y
AU - Schultz, Marcus J
AU - Horn, Janneke
AU - Cremer, Olaf L
AU - Bonten, Marc J M
PY - 2013
Y1 - 2013
N2 - Introduction
Reliable, meaningful surveillance methods are essential for benchmarking of healthcare-associated infection rates. However case-definitions for ventilator-associated pneumonia (VAP) are complex and subjective. A novel surveillance paradigm for detection of ventilator-asso- ciated events (VAE) was recently proposed by the National Healthcare Safety Network (NHSN).
Objectives
We aimed to validate this new algorithm.
Methods
Retrospective analysis of an ICU cohort with ongoing prospective assessment of VAP in 2 academic medical centers (January 2011 – June 2012). The VAE algorithm was electronically implemented as specified by NHSN and includes assessment of (infection-related) ventilator- associated conditions (VAC, IVAC) and possible or probable VAP. Incidence and concordance of VAE with prospective VAP surveillance was assessed as were alter- native clinical conditions occurring with VAE signals. The attributable mortality of VAC, IVAC and VAE VAP was assessed by competing-risk survival analysis.
Results
2080 patients contributed 2296 episodes of mechanical ventilation (MV). Incidence of VAC and IVAC were 10.0 and 4.2/1000 ventilation days, respectively. VAP accord- ing to the VAE algorithm occurred in 3.2/1000 MV days, whereas prospective surveillance identified 8 cases per 1000 MV days. VAC detected 32% (38/115) of the patients affected by VAP, positive predictive value was 25% (38/152). The other VAE events had lower sensitivity and positive predictive value remained < 40%. VAC sig- nals were most often caused by pulmonary or extra-pul- monary infection, volume overload or heart failure. The subdistribution hazard for mortality was estimated at 3.3 (95% CI 2.4 - 4.4) for VAC, 2.5 (1.5 - 4.1) for IVAC and 2.1 for VAP (1.2 - 3.8).
Conclusion
The VAE algorithm aims to assess complications of mechanical ventilation. However, concordance between VAE and VAP surveillance is poor. Future studies will need to assess whether the conditions identified as VAE are liable to preventive measures.
AB - Introduction
Reliable, meaningful surveillance methods are essential for benchmarking of healthcare-associated infection rates. However case-definitions for ventilator-associated pneumonia (VAP) are complex and subjective. A novel surveillance paradigm for detection of ventilator-asso- ciated events (VAE) was recently proposed by the National Healthcare Safety Network (NHSN).
Objectives
We aimed to validate this new algorithm.
Methods
Retrospective analysis of an ICU cohort with ongoing prospective assessment of VAP in 2 academic medical centers (January 2011 – June 2012). The VAE algorithm was electronically implemented as specified by NHSN and includes assessment of (infection-related) ventilator- associated conditions (VAC, IVAC) and possible or probable VAP. Incidence and concordance of VAE with prospective VAP surveillance was assessed as were alter- native clinical conditions occurring with VAE signals. The attributable mortality of VAC, IVAC and VAE VAP was assessed by competing-risk survival analysis.
Results
2080 patients contributed 2296 episodes of mechanical ventilation (MV). Incidence of VAC and IVAC were 10.0 and 4.2/1000 ventilation days, respectively. VAP accord- ing to the VAE algorithm occurred in 3.2/1000 MV days, whereas prospective surveillance identified 8 cases per 1000 MV days. VAC detected 32% (38/115) of the patients affected by VAP, positive predictive value was 25% (38/152). The other VAE events had lower sensitivity and positive predictive value remained < 40%. VAC sig- nals were most often caused by pulmonary or extra-pul- monary infection, volume overload or heart failure. The subdistribution hazard for mortality was estimated at 3.3 (95% CI 2.4 - 4.4) for VAC, 2.5 (1.5 - 4.1) for IVAC and 2.1 for VAP (1.2 - 3.8).
Conclusion
The VAE algorithm aims to assess complications of mechanical ventilation. However, concordance between VAE and VAP surveillance is poor. Future studies will need to assess whether the conditions identified as VAE are liable to preventive measures.
U2 - 10.1186/2047-2994-2-S1-O64
DO - 10.1186/2047-2994-2-S1-O64
M3 - Article
VL - 2
SP - O64
JO - Antimicrobial Resistance and Infection Control
JF - Antimicrobial Resistance and Infection Control
IS - Suppl 1
ER -