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Air contamination for predicting wound contamination in clean surgery: A large multicenter study - 04/05/15

Doi : 10.1016/j.ajic.2015.01.026 
Gabriel Birgand, PharmD, PhD a, b, c, , Gaëlle Toupet, BS c, Stephane Rukly, BS a, b, Gilles Antoniotti, MD d, Marie-Noelle Deschamps, RN e, Didier Lepelletier, MD, PhD f, Carole Pornet, MD g, Jean Baptiste Stern, MD h, Yves-Marie Vandamme, MD i, Nathalie van der Mee-Marquet, PharmD, PhD j, Jean-François Timsit, MD, PhD a, b, k, Jean-Christophe Lucet, MD, PhD a, b, c
a INSERM, IAME, UMR 1137, Paris, France 
b Universite Paris Diderot, IAME, UMR 1137, Sorbonne Paris Cité, Paris, France 
c Infection Control Unit, AP-HP, Hôpital Bichat, Paris, France 
d Groupe Générale de santé, Direction des risques, Paris, France 
e Service d'hygiene, clinique Ambroise Paré, Clinique Hartmann, Neuilly-sur-Seine, France 
f Bacteriology and Infection Control Department, Nantes University Hospital, Nantes, France 
g Department of Hygiene, Caen University Hospital, Caen, France 
h Département Thoracique, Institut Mutualiste Montsouris, Paris, France 
i Department of Infectious Diseases and Internal Medicine, Centre Hospitalier Universitaire d'Angers, Angers, France 
j Department of Bacteriology and Hospital Hygiene, Trousseau University Hospital, Tours, France 
k Medical Intensive Care Unit, AP-HP, Hôpital Bichat, Paris, France 

Address correspondence to Gabriel Birgand, PharmD, PhD, Infection Control Unit, Bichat-Claude Bernard University Hospital, Assistance Publique-Hôpitaux de Paris and Paris 7 Denis Diderot University, 46 rue Henri Huchard 75018 Paris, France.

Abstract

Background

The best method to quantify air contamination in the operating room (OR) is debated, and studies in the field are controversial. We assessed the correlation between 2 types of air sampling and wound contaminations before closing and the factors affecting air contamination.

Methods

This multicenter observational study included 13 ORs of cardiac and orthopedic surgery in 10 health care facilities. For each surgical procedure, 3 microbiologic air counts, 3 particles counts of 0.3, 0.5, and 5 μm particles, and 1 bacteriologic sample of the wound before skin closure were performed. We collected data on surgical procedures and environmental characteristics.

Results

Of 180 particle counts during 60 procedures, the median log10 of 0.3, 0.5, and 5 μm particles was 7 (interquartile range [IQR], 6.2-7.9), 6.1 (IQR, 5.4-7), and 4.6 (IQR, 0-5.2), respectively. Of 180 air samples, 50 (28%) were sterile, 90 (50%) had 1-10 colony forming units (CFU)/m3 and 40 (22%) >10 CFU/m3. In orthopedic and cardiac surgery, wound cultures at closure were sterile for 24 and 9 patients, 10 and 11 had 1-10 CFU/100 cm2, and 0 and 6 had >10 CFU/100 cm2, respectively (P < .01). Particle sizes and a turbulent ventilation system were associated with an increased number of air microbial counts (P < .001), but they were not associated with wound contamination (P = .22).

Conclusions

This study suggests that particle counting is a good surrogate of airborne microbiologic contamination in the OR.

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Highlights

We assessed correlations between 2 types of air sampling and wound contaminations.
We included 13 operating rooms of cardiac and orthopedic surgery in 10 health care facilities.
A strong correlation exists between air particle counts and microbial contamination.
Particle counting is a good surrogate of airborne microbiologic contamination.
Laminar airflow was associated with decreased air microbial contamination.

Le texte complet de cet article est disponible en PDF.

Key Words : Surgical site infection, Environmental contamination, Operating room, Infectious risk, Laminar airflow, Ventilation systems


Plan


 Funding/Support: Supported by a National Research Grant (no. PREPS 2011-01) (the ARIBO Project).
 Author contributions: Gabriel Birgand contributed to the conception and design, acquisition of data, analysis and interpretation of data, drafting of the article, and final approval of the version to be published. Gaëlle Toupet contributed to the conception and design, acquisition of data, revising of the manuscript, and final approval of the version to be published. Stephane Rukly contributed to the analysis and interpretation of data, revising of the manuscript, and final approval of the version to be published. Gilles Antoniotti contributed to the acquisition of data, revising of the manuscript, and final approval of the version to be published. Marie-Noelle Deschamps contributed to the acquisition of data, revising of the manuscript, and final approval of the version to be published. Didier Lepelletier contributed to the acquisition of data, revising of the manuscript, and final approval of the version to be published. Carole Pornet contributed to the acquisition of data, revising of the manuscript, and final approval of the version to be published. Jean Baptiste Stern contributed to the acquisition of data, revising of the manuscript, and final approval of the version to be published. Yves-Marie Vandamme contributed to the acquisition of data, revising of the manuscript, and final approval of the version to be published. Nathalie Van der Mée – Maquet contributed to the acquisition of data, revising of the manuscript, and final approval of the version to be published. Jean-François Timsit contributed to the analysis and interpretation of data, revising of the manuscript, and final approval of the version to be published. Jean-Christophe Lucet contributed to the conception and design, acquisition of data, analysis and interpretation of data, drafting of the article, and final approval of the version to be published.
 Conflicts of interest: None to report.


© 2015  Association for Professionals in Infection Control and Epidemiology, Inc.. Publié par Elsevier Masson SAS. Tous droits réservés.
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Vol 43 - N° 5

P. 516-521 - mai 2015 Retour au numéro
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