2011
DOI: 10.1590/s0104-11692011000200007
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Abstract: 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 s… Show more

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Cited by 34 publications
(49 citation statements)
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“…This infection rate is inferior to the parameters found in some studies about orthopedic SSI, ranging from 5.7 to 22.7% (6,10,12) . A study involving orthopedic surgery patient information registered in a database found a rate under 1.5%, suggesting data under-notification (8) .…”
Section: Discussionmentioning
confidence: 99%
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“…This infection rate is inferior to the parameters found in some studies about orthopedic SSI, ranging from 5.7 to 22.7% (6,10,12) . A study involving orthopedic surgery patient information registered in a database found a rate under 1.5%, suggesting data under-notification (8) .…”
Section: Discussionmentioning
confidence: 99%
“…Some patient and surgical act characteristics can influence the risk of developing SSI (2,(8)(9)(10)(11) . In this study, a statistically significant association was found between the SSI and some variables ( …”
Section: Risk Factors For Ssi In Orthopedic Patientsmentioning
confidence: 99%
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“…The current NNIS risk index, a risk scoring system developed to predict risk of postoperative SSI, is based on three indicators: the American Society of Anaesthesiologists (ASA) score, wound type, and duration of surgery [69]. The index does not contain many underlying patient factors such as increased BMI, and alternative scoring models have been found to achieve better predictive performance [70]. Our study identifies increased BMI on a continuous scale as an independent risk factor for spinal SSI and demonstrates that categorisation of BMI can greatly influence study results.…”
Section: Odds Ratiomentioning
confidence: 99%