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Comparative Analysis of 75th Percentile Durations for Neurosurgical Procedures in France and in US National Noscomial Infection Surveillance System Data

Published online by Cambridge University Press:  02 January 2015

Claire Lietard ,
Véronique Thébaud ,
Géraldine Burnichon ,
Gérard Besson  and
Benoist Lejeune
Claire Lietard*
Affiliation:
Laboratoire Universitaire de Santé Publique, Épidémiologie— Faculté de Médecine et Sciences de la Santé, Brest Medical University, Centre Hospitalier Universitaire de Brest, France
Véronique Thébaud
Affiliation:
Service d’Hygiène Hospitalière, Santé Publique Évaluation, Centre Hospitalier Universitaire de Brest, France
Géraldine Burnichon
Affiliation:
Service d’Hygiène Hospitalière, Santé Publique Évaluation, Centre Hospitalier Universitaire de Brest, France
Gérard Besson
Affiliation:
Service de Neurochirurgie, Centre Hospitalier Universitaire de Brest, France
Benoist Lejeune
Affiliation:
Laboratoire Universitaire de Santé Publique, Épidémiologie— Faculté de Médecine et Sciences de la Santé, Brest Medical University, Centre Hospitalier Universitaire de Brest, France Service d’Hygiène Hospitalière, Santé Publique Évaluation, Centre Hospitalier Universitaire de Brest, France
*
Brest Medical University, Faculté de Médecine et Sciences de la Santé, 22 av. Camille Desmoulins, CS 93937, Brest, France, 29238 ([email protected])
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Abstract

The duration of surgical procedures and the 75th percentiles of those durations are considered in calculation of the US National Nosocomial Infection Surveillance (NNIS) system risk index score. To compare the durations of neurosurgical procedures in a hospital in western France with the durations in the NNIS data, 6,136 neurosurgical patients were followed up to determine surgical site infection rates. The surgical site infection rate was 1.9%, and the 75th percentile durations were lower than those in the NNIS data. The values from the NNIS data are thus inadequate for this neurosurgical center.

Type
Concise Communications
Information
Infection Control & Hospital Epidemiology , Volume 29 , Issue 1 , January 2008 , pp. 73 - 75
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2008

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References

1.Kjaellgard, P, Cordtz, T, Sejberg, D, et al.The DANOP-DATA system: a low cost personal computer-based program for monitoring of wound infections in surgical ward. J Hosp Infect 1989;13:273–279.Google Scholar
2.Haley, RW, Culver, DH, Morgan, WM, et al.Identifying patients at risk of surgical wound infection. A simple multivariate index of patient susceptibility and wound contamination. Am J Epidemiol 1985;121:206–215.Google Scholar
3.Culver, DH, Horan, TC, Gaynes, RP, et al.Surgical wound infection rates by wound class, operative procedure, and patient risk index. Am J Med 1991;91(suppl 3B):152S–157S.Google Scholar
4.Keats, AS. The ASA classification of physical status: a recapitulation. Anesthesiology 1978;49:233–236.Google Scholar
5.Definitions and classifications of surgical infections. In: Altemeier, WA, Burke, J, Pruitt, BA, Sandusky, WR, eds. Manual on Control of Infection in Surgical Patients. Philadelphia: JB Lippincott; 1984:19–30.Google Scholar
6.Gantz, NM, Godofsky, EW. Nosocomial central nervous system infections. In: Mayall, CG, ed. Hospital Epidemiology and Infection Control. Baltimore: Lippincott Williams and Wilkins, 1986:253–255.Google Scholar
7.Coello, R, Charlett, A, Wilson, J, Ward, V, Pearson, A, Bordello, P. Adverse impact of surgical site infections in English hospitals. J Hosp Infect 2005;60:93–103.CrossRefGoogle ScholarPubMed
8.Campos, ML, Cipriano, ZM, Freitas, PRSuitability of the NNIS index for estimating surgical site infection risk at a small university hospital in Brazil. Infect Control Hosp Epidemiol 2001;22:268–272.Google Scholar
9.National Nosocomial Infections Surveillance (NNIS) System. NNIS system report, data summary from January 1992 through June 2004, issued October 2004. Am J Infect Control 2004;32:470–485.Google Scholar
10.Leong, G, Wilson, J, Charlett, A. Duration of operation as a risk for surgical site infection: comparison of English and US data. J Hosp Infect 2006;63:255–262.Google Scholar