Surveillance for Surgical Site Infection (SSI) After Neurosurgery: Influence of the US or Brest (France) National Nosocomial Infection Surveillance Risk Index on SSI Rates

2008 ◽  
Vol 29 (11) ◽  
pp. 1084-1087 ◽  
Author(s):  
Claire Lietard ◽  
Véronique Thébaud ◽  
Gérard Besson ◽  
Benoist Lejeune
Keyword(s):  
Nosocomial Infection ◽  
Surgical Site Infection ◽  
Risk Index ◽  
Surveillance Data ◽  
National Nosocomial Infection Surveillance ◽  
Site Infection ◽  
Local Operation ◽  
Infection Surveillance ◽  
Neurosurgical Patients ◽  
The Us

A total of 5,628 neurosurgical patients were observed in France to assess the occurrence of surgical site infection (SSI). Their risk of SSI was defined by calculating both the US National Nosocomial Infection Surveillance and the Brest National Nosocomial Infection Surveillance risk indexes. This study compares SSI rates stratified according to either the US or Brest (France) National Nosocomial Infection Surveillance risk index. The SSI rates were correlated with National Nosocomial Infection Surveillance data involving only local operation durations.

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

2008 ◽  
Vol 29 (1) ◽  
pp. 73-75 ◽  
Author(s):  
Claire Lietard ◽  
Véronique Thébaud ◽  
Géraldine Burnichon ◽  
Gérard Besson ◽  
Benoist Lejeune
Keyword(s):  
Surgical Site Infection ◽  
Risk Index ◽  
Neurosurgical Procedures ◽  
Site Infection ◽  
Infection Surveillance ◽  
Neurosurgical Patients ◽  
The Us ◽  
System Risk ◽  
System Data ◽  
Risk Index Score

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.

Validation of Surgical Site Infection Surveillance in The Netherlands

2007 ◽  
Vol 28 (1) ◽  
pp. 36-41 ◽  
Author(s):  
J. Manniën ◽  
A. E. van der Zeeuw ◽  
J. C. Wille ◽  
S. van den Hof
Keyword(s):  
Surgical Site Infection ◽  
Predictive Value ◽  
Medical Records ◽  
Surveillance System ◽  
Structured Interview ◽  
Surveillance Data ◽  
National Nosocomial Infection Surveillance ◽  
Site Infection ◽  
Infection Surveillance

Objectives.To describe how continuous validation of data on surgical site infection (SSI) is being performed in the Dutch National Nosocomial Infection Surveillance System (Preventie Ziekenhuisinfecties door Surveillance [PREZIES]), to assess the quality and accuracy of the PREZIES data, and to present the corresponding outcomes of the assessment.Design.Mandatory, 1-day on-site validation visit to participating hospitals every 3 years. The process of surveillance, including the quality of the method of data collection, is validated by means of a structured interview. The use of SSI criteria is validated by review of medical records, with the judgment of the validation team as the criterion standard.Setting.Hospitals participating in PREZIES.Results.During 1999-2004, the validation team visited 40 hospitals and reviewed 859 medical charts. There was no deviation between reports of SSI by infection control professionals and findings by the PREZIES validation team at 30 hospitals and 1 deviation in each of 10 hospitals; the positive predictive value was 0.97, and the negative predictive value was 0.99. The validation team often gave advice to the hospital, aimed at perfecting the process of surveillance. On 2 occasions, data were removed from the PREZIES database after the validation visit revealed deviations from the SSI surveillance protocol that could have resulted in nonrepresentative SSI rate data.Conclusions.PREZIES is confident that the assembled Dutch SSI surveillance data are reliable and robust and are sufficiently accurate to be used as a reference for interhospital comparison. PREZIES will continue performing on-site validation visits, to improve the process of surveillance and ensure the reliability of the surveillance data.

scholarly journals Surgical site infection in patients submitted to orthopedic surgery: the NNIS risk index and risk prediction

2011 ◽  
Vol 19 (2) ◽  
pp. 269-276 ◽  
Author(s):  
Flávia Falci Ercole ◽  
Tânia Couto Machado Chianca ◽  
Denise Duarte ◽  
Carlos Ernesto Ferreira Starling ◽  
Mariângela Carneiro
Keyword(s):  
Surgical Site Infection ◽  
Prediction Models ◽  
Risk Index ◽  
Surgical Patients ◽  
Site Infection ◽  
Multivariate Logistic Regression ◽  
Historical Cohort ◽  
Infection Surveillance ◽  
Proposed Model ◽  
Alternative Index

The applicability of the risk index for surgical site infection of the National Nosocomial Infection Surveillance (NNIS) has been evaluated for its performance in different surgeries. In some procedures, it is necessary to include other variables to predict. Objective: to evaluate the applicability of the NNIS index for prediction of surgical site infection in orthopedic surgeries and to propose an alternative index. The study involved a historical cohort of 8236 patients who had been submitted to orthopaedic surgery. Statistical analysis was performed using multivariate logistic regression to fit the model. The incidence of infection was 1.41%. Prediction models were evaluated and compared to the NNIS index. The proposed model was not considered a good predictor of infection, despite moderately stratified orthopedic surgical patients in at least three of the four scores. The alternative model scored higher than the NNIS models in the prediction of infection.

Validation of surgical site infection surveillance data in colon procedures reported to the Connecticut Department of Public Health

2017 ◽  
Vol 45 (6) ◽  
pp. 690-691 ◽  
Author(s):  
Lauren A. Backman ◽  
Evelyn Carusillo ◽  
Laurie N. D'aquila ◽  
Richard Melchreit ◽  
Renee Fekieta
Keyword(s):  
Public Health ◽  
Surgical Site Infection ◽  
Surveillance Data ◽  
Site Infection ◽  
Infection Surveillance
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