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Surgical site infections: Might a longer locally defined T time affect the benchmarking?

Background A local surgical site infection surveillance system (LS System) was established in 1998 at our teaching hospital. The aims of this article were to compare locally defined cut-points with the NNIS System T times, and to evaluate the effectiveness of different cut-points in identifying proc...

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Published in:American journal of infection control 2007-11, Vol.35 (9), p.582-584
Main Authors: Prospero, Emilia, MD, MPH, Barbadoro, Pamela, MD, Annino, Isidoro, MD, D'Errico, Marcello Mario, MD
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container_title American journal of infection control
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creator Prospero, Emilia, MD, MPH
Barbadoro, Pamela, MD
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description Background A local surgical site infection surveillance system (LS System) was established in 1998 at our teaching hospital. The aims of this article were to compare locally defined cut-points with the NNIS System T times, and to evaluate the effectiveness of different cut-points in identifying procedures at high risk for infection. Methods The LS System T times were compared to those reported by the NNIS System. Procedures and surgical site infections (SSIs) were stratified according to two infection risk index (IRI) scores calculated by using the two cut-points. The effectiveness of the two IRI scores in predicting SSIs was assessed by receiver operating characteristic (ROC) analysis. Results We have found a longer T time in three procedures categories compared to those reported by the NNIS System (GAST, OGIT, and XLAP). The LS System risk index predicted SSIs better than did the NNIS System risk index only in other digestive category, with areas under ROC curve: being, respectively of 71.1% (95% CI, 60.9, 81.3) and 63.1% (95% CI, 54.0, 72.2). Conclusions The use of the NNIS System T time is suitable in our local SSI surveillance system because it does not significantly affect the benchmarking.
doi_str_mv 10.1016/j.ajic.2007.01.004
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The aims of this article were to compare locally defined cut-points with the NNIS System T times, and to evaluate the effectiveness of different cut-points in identifying procedures at high risk for infection. Methods The LS System T times were compared to those reported by the NNIS System. Procedures and surgical site infections (SSIs) were stratified according to two infection risk index (IRI) scores calculated by using the two cut-points. The effectiveness of the two IRI scores in predicting SSIs was assessed by receiver operating characteristic (ROC) analysis. Results We have found a longer T time in three procedures categories compared to those reported by the NNIS System (GAST, OGIT, and XLAP). The LS System risk index predicted SSIs better than did the NNIS System risk index only in other digestive category, with areas under ROC curve: being, respectively of 71.1% (95% CI, 60.9, 81.3) and 63.1% (95% CI, 54.0, 72.2). Conclusions The use of the NNIS System T time is suitable in our local SSI surveillance system because it does not significantly affect the benchmarking.</description><identifier>ISSN: 0196-6553</identifier><identifier>EISSN: 1527-3296</identifier><identifier>DOI: 10.1016/j.ajic.2007.01.004</identifier><identifier>PMID: 17980235</identifier><language>eng</language><publisher>St. Louis, MO: Mosby, Inc</publisher><subject>Benchmarking - methods ; Benchmarking - statistics &amp; numerical data ; Biological and medical sciences ; Digestive System Surgical Procedures - statistics &amp; numerical data ; Epidemiology. Vaccinations ; General aspects ; Human infectious diseases. 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The aims of this article were to compare locally defined cut-points with the NNIS System T times, and to evaluate the effectiveness of different cut-points in identifying procedures at high risk for infection. Methods The LS System T times were compared to those reported by the NNIS System. Procedures and surgical site infections (SSIs) were stratified according to two infection risk index (IRI) scores calculated by using the two cut-points. The effectiveness of the two IRI scores in predicting SSIs was assessed by receiver operating characteristic (ROC) analysis. Results We have found a longer T time in three procedures categories compared to those reported by the NNIS System (GAST, OGIT, and XLAP). The LS System risk index predicted SSIs better than did the NNIS System risk index only in other digestive category, with areas under ROC curve: being, respectively of 71.1% (95% CI, 60.9, 81.3) and 63.1% (95% CI, 54.0, 72.2). 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Experimental studies and models</subject><subject>Humans</subject><subject>Infection Control</subject><subject>Infection Control - methods</subject><subject>Infectious Disease</subject><subject>Infectious diseases</subject><subject>Laparotomy - statistics &amp; numerical data</subject><subject>Medical sciences</subject><subject>Retrospective Studies</subject><subject>Risk Assessment - methods</subject><subject>Sentinel Surveillance</subject><subject>Surgical Wound Infection - epidemiology</subject><subject>Surgical Wound Infection - prevention &amp; control</subject><subject>Time Factors</subject><issn>0196-6553</issn><issn>1527-3296</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNp9kU2LFDEQhoMo7uzqH_Agueit20rSnZ6IKLL4BSsedgVvIZ1UZjLbk95Nuhfm35tmBhY8eCoonrconpeQVwxqBky-29VmF2zNAboaWA3QPCEr1vKuElzJp2QFTMlKtq04I-c57wBACdk-J2esU2vgol2RP9dz2gRrBprDhDREj3YKY8zv6c-w2U7U0GGMG0xlFGo4UIc-RHT0hk5hj9T4JUGnLdIeo93uTboNcfPpBXnmzZDx5WlekN9fv9xcfq-ufn37cfn5qrKNUFPlGw7Sgew75hWKnnFUa9X1vVPIBDopjIfGMcX63hvTlI2y4DkXjTTWNeKCvD3evUvj_Yx50vuQLQ6DiTjOWct106qOQwH5EbRpzDmh13cplG8PmoFefOqdXnzqxacGpovPEnp9uj73e3SPkZPAArw5ASYXPz6ZaEN-5NRainKncB-OHBYXDwGTzjYUX-hCKv60G8P___j4T9wOIS693eIB826cUyyWNdOZa9DXS_NL8dABMOiY-AuqPqiG</recordid><startdate>20071101</startdate><enddate>20071101</enddate><creator>Prospero, Emilia, MD, MPH</creator><creator>Barbadoro, Pamela, MD</creator><creator>Annino, Isidoro, MD</creator><creator>D'Errico, Marcello Mario, MD</creator><general>Mosby, Inc</general><general>Mosby</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20071101</creationdate><title>Surgical site infections: Might a longer locally defined T time affect the benchmarking?</title><author>Prospero, Emilia, MD, MPH ; Barbadoro, Pamela, MD ; Annino, Isidoro, MD ; D'Errico, Marcello Mario, MD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c439t-f4206d06b71f9e3b12e9897bbd9e13ed63af04d191bbfaa4ed69c0f22346acd43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Benchmarking - methods</topic><topic>Benchmarking - statistics &amp; numerical data</topic><topic>Biological and medical sciences</topic><topic>Digestive System Surgical Procedures - statistics &amp; numerical data</topic><topic>Epidemiology. Vaccinations</topic><topic>General aspects</topic><topic>Human infectious diseases. Experimental studies and models</topic><topic>Humans</topic><topic>Infection Control</topic><topic>Infection Control - methods</topic><topic>Infectious Disease</topic><topic>Infectious diseases</topic><topic>Laparotomy - statistics &amp; numerical data</topic><topic>Medical sciences</topic><topic>Retrospective Studies</topic><topic>Risk Assessment - methods</topic><topic>Sentinel Surveillance</topic><topic>Surgical Wound Infection - epidemiology</topic><topic>Surgical Wound Infection - prevention &amp; control</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Prospero, Emilia, MD, MPH</creatorcontrib><creatorcontrib>Barbadoro, Pamela, MD</creatorcontrib><creatorcontrib>Annino, Isidoro, MD</creatorcontrib><creatorcontrib>D'Errico, Marcello Mario, MD</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of infection control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Prospero, Emilia, MD, MPH</au><au>Barbadoro, Pamela, MD</au><au>Annino, Isidoro, MD</au><au>D'Errico, Marcello Mario, MD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Surgical site infections: Might a longer locally defined T time affect the benchmarking?</atitle><jtitle>American journal of infection control</jtitle><addtitle>Am J Infect Control</addtitle><date>2007-11-01</date><risdate>2007</risdate><volume>35</volume><issue>9</issue><spage>582</spage><epage>584</epage><pages>582-584</pages><issn>0196-6553</issn><eissn>1527-3296</eissn><abstract>Background A local surgical site infection surveillance system (LS System) was established in 1998 at our teaching hospital. The aims of this article were to compare locally defined cut-points with the NNIS System T times, and to evaluate the effectiveness of different cut-points in identifying procedures at high risk for infection. Methods The LS System T times were compared to those reported by the NNIS System. Procedures and surgical site infections (SSIs) were stratified according to two infection risk index (IRI) scores calculated by using the two cut-points. The effectiveness of the two IRI scores in predicting SSIs was assessed by receiver operating characteristic (ROC) analysis. Results We have found a longer T time in three procedures categories compared to those reported by the NNIS System (GAST, OGIT, and XLAP). The LS System risk index predicted SSIs better than did the NNIS System risk index only in other digestive category, with areas under ROC curve: being, respectively of 71.1% (95% CI, 60.9, 81.3) and 63.1% (95% CI, 54.0, 72.2). Conclusions The use of the NNIS System T time is suitable in our local SSI surveillance system because it does not significantly affect the benchmarking.</abstract><cop>St. Louis, MO</cop><pub>Mosby, Inc</pub><pmid>17980235</pmid><doi>10.1016/j.ajic.2007.01.004</doi><tpages>3</tpages></addata></record>
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subjects Benchmarking - methods
Benchmarking - statistics & numerical data
Biological and medical sciences
Digestive System Surgical Procedures - statistics & numerical data
Epidemiology. Vaccinations
General aspects
Human infectious diseases. Experimental studies and models
Humans
Infection Control
Infection Control - methods
Infectious Disease
Infectious diseases
Laparotomy - statistics & numerical data
Medical sciences
Retrospective Studies
Risk Assessment - methods
Sentinel Surveillance
Surgical Wound Infection - epidemiology
Surgical Wound Infection - prevention & control
Time Factors
title Surgical site infections: Might a longer locally defined T time affect the benchmarking?
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