{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T13:55:05Z","timestamp":1774533305551,"version":"3.50.1"},"reference-count":28,"publisher":"Cambridge University Press (CUP)","issue":"5","license":[{"start":{"date-parts":[[2015,1,2]],"date-time":"2015-01-02T00:00:00Z","timestamp":1420156800000},"content-version":"unspecified","delay-in-days":2072,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Infect. Control Hosp. Epidemiol."],"published-print":{"date-parts":[[2009,5]]},"abstract":"<jats:sec id=\"S0195941700036778_abs1\"><jats:title>Objective.<\/jats:title><jats:p>We examined the usefulness of a simple method to account for incomplete postdischarge follow-up during surveillance of surgical site infection (SSI) by use of the National Nosocomial Infections Surveillance (NNIS) system's risk index.<\/jats:p><\/jats:sec><jats:sec id=\"S0195941700036778_abs2\"><jats:title>Design.<\/jats:title><jats:p>Retrospective cohort study that used data prospectively collected from 1993 through 2006.<\/jats:p><\/jats:sec><jats:sec id=\"S0195941700036778_abs3\"><jats:title>Setting.<\/jats:title><jats:p>Five private, nonuniversity healthcare facilities in Belo Horizonte, Brazil.<\/jats:p><\/jats:sec><jats:sec id=\"S0195941700036778_abs4\"><jats:title>Patients.<\/jats:title><jats:p>Consecutive patients undergoing the following NNIS operative procedures: 20,981 operations on the genitourinary system, 11,930 abdominal hysterectomies, 7,696 herniorraphies, 6,002 cholecystectomies, and 6,892 laparotomies.<\/jats:p><\/jats:sec><jats:sec id=\"S0195941700036778_abs5\"><jats:title>Methods.<\/jats:title><jats:p>For each operative procedure category, 2 SSI risk models were specified. First, a model based on the NNIS system's risk index variables was specified (hereafter referred to as the NNIS-based model). Second, a modified model (hereafter referred to as the modified NNIS-based model), which was also based on the NNIS system's risk index, was specified with a postdischarge surveillance indicator, which was assigned the value of 1 if the patient could be reached during follow-up and a value of 0 if the patient could not be reached. A formal comparison of the capabilities of the 2 models to assess the risk of SSI was conducted using measures of calibration (by use of the Pearson goodness-of-fit test) and discrimination (by use of receiver operating characteristic curves). Goodman-Kruskal correlations (G) were also calculated.<\/jats:p><\/jats:sec><jats:sec id=\"S0195941700036778_abs6\"><jats:title>Results.<\/jats:title><jats:p>The rate of incomplete postdischarge follow-up varied between 29.8% for abdominal hysterectomies and 50.5% for cholecystectomies. The modified NNIS-based model for laparotomy did not show any significant benefit over the NNIS-based model in any measure. For all other operative procedures, the modified NNIS-based model showed a significantly improved discriminatory ability and higher G statistics, compared with the NNIS-based model, with no significant impairment in calibration, except if used to assess the risk of SSI after operations on the genitourinary system or after a cholecystectomy.<\/jats:p><\/jats:sec><jats:sec id=\"S0195941700036778_abs7\"><jats:title>Conclusions.<\/jats:title><jats:p>Compared with the NNIS-based model, the modified NNIS-based model added potentially useful clinical information regarding most of the operative procedures. Further work is warranted to evaluate this method for accounting for incomplete postdischarge follow-up during surveillance of SSI.<\/jats:p><\/jats:sec>","DOI":"10.1086\/596732","type":"journal-article","created":{"date-parts":[[2009,3,20]],"date-time":"2009-03-20T15:44:11Z","timestamp":1237563851000},"page":"433-439","source":"Crossref","is-referenced-by-count":8,"title":["Accounting for Incomplete Postdischarge Follow-Up During Surveillance of Surgical Site Infection by Use of the National Nosocomial Infections Surveillance System's Risk Index"],"prefix":"10.1017","volume":"30","author":[{"given":"Fernando Mart\u00edn","family":"Biscione","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Renato Camargos","family":"Couto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"T\u00e2nia M. G.","family":"Pedrosa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2015,1,2]]},"reference":[{"key":"S0195941700036778_ref006","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1984.10477094"},{"key":"S0195941700036778_ref021","doi-asserted-by":"publisher","DOI":"10.1093\/intqhc\/mzi103"},{"key":"S0195941700036778_ref022","doi-asserted-by":"publisher","DOI":"10.1086\/519931"},{"key":"S0195941700036778_ref013","doi-asserted-by":"publisher","DOI":"10.2307\/2531595"},{"key":"S0195941700036778_ref001","doi-asserted-by":"publisher","DOI":"10.1086\/501620"},{"key":"S0195941700036778_ref005","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2288-3-8"},{"key":"S0195941700036778_ref003","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajic.2004.10.001"},{"key":"S0195941700036778_ref002","unstructured":"Centers for Disease Control and Prevention. The National Healthcare Safety Network (NHSN) Manual: Patient Safety Component Protocol. Division of Healthcare Quality Promotion, National Center for Infectious Diseases. Atlanta, GA. Last updated January 2008. Available at: http:\/\/www.cdc.gov\/ncidod\/dhqp\/pdf\/nhsn\/NHSN_Manual_PatientSafetyProtocol_CURRENT.pdf. 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