Predictors of Hospital-Acquired Urinary Tract–Related Bloodstream Infection
Objective. Bloodstream infection (BSI) secondary to nosocomial urinary tract infection is associated with substantial morbidity, mortality, and additional financial costs. Our objective was to identify predictors of nosocomial urinary tract–related BSI. Design. Matched case-control study. Setting. M...
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Veröffentlicht in: | Infection control and hospital epidemiology 2012-10, Vol.33 (10), p.1001-1007 |
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creator | Greene, M. Todd Chang, Robert Kuhn, Latoya Rogers, Mary A. M. Chenoweth, Carol E. Shuman, Emily Saint, Sanjay |
description | Objective. Bloodstream infection (BSI) secondary to nosocomial urinary tract infection is associated with substantial morbidity, mortality, and additional financial costs. Our objective was to identify predictors of nosocomial urinary tract–related BSI.
Design. Matched case-control study.
Setting. Midwestern tertiary care hospital.
Patients. Cases (
) were patients with a positive urine culture obtained more than 48 hours after admission and a blood culture obtained within 14 days of the urine culture that grew the same organism. Controls (
), selected by incidence density sampling, included patients with a positive urine culture who were at risk for BSI but did not develop one.
Methods. Conditional logistic regression and classification and regression tree analyses.
Results. The most frequently isolated microorganisms that spread from the urinary tract to the bloodstream were Enterococcus species. Independent risk factors included neutropenia (odds ratio [OR], 10.99; 95% confidence interval [CI], 5.78–20.88), renal disease (OR, 2.96; 95% CI, 1.98–4.41), and male sex (OR, 2.18; 95% CI, 1.52–3.12). The probability of developing a urinary tract–related BSI among neutropenic patients was 70%. Receipt of immunosuppressants (OR, 1.53; 95% CI, 1.04–2.25), insulin (OR, 4.82; 95% CI, 2.52–9.21), and antibacterials (OR, 0.66; 95% CI, 0.44–0.97) also significantly altered risk.
Conclusions. The heightened risk of urinary tract–related BSI associated with several comorbid conditions suggests that the management of nosocomial bacteriuria may benefit from tailoring to certain patient subgroups. Consideration of time-dependent risk factors, such as medications, may also help guide clinical decisions in reducing BSI. |
doi_str_mv | 10.1086/667731 |
format | Article |
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Design. Matched case-control study.
Setting. Midwestern tertiary care hospital.
Patients. Cases (
) were patients with a positive urine culture obtained more than 48 hours after admission and a blood culture obtained within 14 days of the urine culture that grew the same organism. Controls (
), selected by incidence density sampling, included patients with a positive urine culture who were at risk for BSI but did not develop one.
Methods. Conditional logistic regression and classification and regression tree analyses.
Results. The most frequently isolated microorganisms that spread from the urinary tract to the bloodstream were Enterococcus species. Independent risk factors included neutropenia (odds ratio [OR], 10.99; 95% confidence interval [CI], 5.78–20.88), renal disease (OR, 2.96; 95% CI, 1.98–4.41), and male sex (OR, 2.18; 95% CI, 1.52–3.12). The probability of developing a urinary tract–related BSI among neutropenic patients was 70%. Receipt of immunosuppressants (OR, 1.53; 95% CI, 1.04–2.25), insulin (OR, 4.82; 95% CI, 2.52–9.21), and antibacterials (OR, 0.66; 95% CI, 0.44–0.97) also significantly altered risk.
Conclusions. The heightened risk of urinary tract–related BSI associated with several comorbid conditions suggests that the management of nosocomial bacteriuria may benefit from tailoring to certain patient subgroups. Consideration of time-dependent risk factors, such as medications, may also help guide clinical decisions in reducing BSI.</description><identifier>ISSN: 0899-823X</identifier><identifier>EISSN: 1559-6834</identifier><identifier>DOI: 10.1086/667731</identifier><identifier>PMID: 22961019</identifier><language>eng</language><publisher>Chicago, IL: University of Chicago Press</publisher><subject>Adult ; Aged ; Bacteremia - epidemiology ; Bacteremia - etiology ; Bacterial diseases ; Bacterial diseases of the urinary system ; Biological and medical sciences ; Blood ; Case-Control Studies ; Confidence Intervals ; Cross Infection - epidemiology ; Cross Infection - etiology ; Diabetes mellitus ; Female ; Forecasting ; General aspects ; Human bacterial diseases ; Human infectious diseases. Experimental studies and models ; Humans ; Indexing in process ; Infections ; Infectious diseases ; Insulin ; Intensive Care Units ; Liver diseases ; Logistic Models ; Male ; Medical sciences ; Michigan - epidemiology ; Microorganisms ; Middle Aged ; Miscellaneous ; Neutropenia ; Nursing ; Odds Ratio ; Original Article ; Predisposing factors ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Risk Factors ; Tertiary Care Centers ; Urinary Tract Infections - complications ; Urine ; Urologic diseases</subject><ispartof>Infection control and hospital epidemiology, 2012-10, Vol.33 (10), p.1001-1007</ispartof><rights>2012 by The Society for Healthcare Epidemiology of America. All rights reserved.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c490t-1c47099c32ca3110e0aeb7f7bc747da03f698e5e31cb2a213ea70cde090b65643</citedby><cites>FETCH-LOGICAL-c490t-1c47099c32ca3110e0aeb7f7bc747da03f698e5e31cb2a213ea70cde090b65643</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27923,27924</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26418786$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22961019$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Greene, M. Todd</creatorcontrib><creatorcontrib>Chang, Robert</creatorcontrib><creatorcontrib>Kuhn, Latoya</creatorcontrib><creatorcontrib>Rogers, Mary A. M.</creatorcontrib><creatorcontrib>Chenoweth, Carol E.</creatorcontrib><creatorcontrib>Shuman, Emily</creatorcontrib><creatorcontrib>Saint, Sanjay</creatorcontrib><title>Predictors of Hospital-Acquired Urinary Tract–Related Bloodstream Infection</title><title>Infection control and hospital epidemiology</title><addtitle>Infect Control Hosp Epidemiol</addtitle><description>Objective. Bloodstream infection (BSI) secondary to nosocomial urinary tract infection is associated with substantial morbidity, mortality, and additional financial costs. Our objective was to identify predictors of nosocomial urinary tract–related BSI.
Design. Matched case-control study.
Setting. Midwestern tertiary care hospital.
Patients. Cases (
) were patients with a positive urine culture obtained more than 48 hours after admission and a blood culture obtained within 14 days of the urine culture that grew the same organism. Controls (
), selected by incidence density sampling, included patients with a positive urine culture who were at risk for BSI but did not develop one.
Methods. Conditional logistic regression and classification and regression tree analyses.
Results. The most frequently isolated microorganisms that spread from the urinary tract to the bloodstream were Enterococcus species. Independent risk factors included neutropenia (odds ratio [OR], 10.99; 95% confidence interval [CI], 5.78–20.88), renal disease (OR, 2.96; 95% CI, 1.98–4.41), and male sex (OR, 2.18; 95% CI, 1.52–3.12). The probability of developing a urinary tract–related BSI among neutropenic patients was 70%. Receipt of immunosuppressants (OR, 1.53; 95% CI, 1.04–2.25), insulin (OR, 4.82; 95% CI, 2.52–9.21), and antibacterials (OR, 0.66; 95% CI, 0.44–0.97) also significantly altered risk.
Conclusions. The heightened risk of urinary tract–related BSI associated with several comorbid conditions suggests that the management of nosocomial bacteriuria may benefit from tailoring to certain patient subgroups. Consideration of time-dependent risk factors, such as medications, may also help guide clinical decisions in reducing BSI.</description><subject>Adult</subject><subject>Aged</subject><subject>Bacteremia - epidemiology</subject><subject>Bacteremia - etiology</subject><subject>Bacterial diseases</subject><subject>Bacterial diseases of the urinary system</subject><subject>Biological and medical sciences</subject><subject>Blood</subject><subject>Case-Control Studies</subject><subject>Confidence Intervals</subject><subject>Cross Infection - epidemiology</subject><subject>Cross Infection - etiology</subject><subject>Diabetes mellitus</subject><subject>Female</subject><subject>Forecasting</subject><subject>General aspects</subject><subject>Human bacterial diseases</subject><subject>Human infectious diseases. Experimental studies and models</subject><subject>Humans</subject><subject>Indexing in process</subject><subject>Infections</subject><subject>Infectious diseases</subject><subject>Insulin</subject><subject>Intensive Care Units</subject><subject>Liver diseases</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Michigan - epidemiology</subject><subject>Microorganisms</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Neutropenia</subject><subject>Nursing</subject><subject>Odds Ratio</subject><subject>Original Article</subject><subject>Predisposing factors</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Risk Factors</subject><subject>Tertiary Care Centers</subject><subject>Urinary Tract Infections - complications</subject><subject>Urine</subject><subject>Urologic diseases</subject><issn>0899-823X</issn><issn>1559-6834</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqN0d9qFDEUBvBQLO261UeQAan0ZvScJJNMbgptsX-gYpEWvAuZTEZTZifbJCt45zv4hj5JU3ateiF6Fcj58eWEj5DnCK8RWvFGCCkZbpEZNo2qRcv4EzKDVqm6pezjLnma0i0ASKVwh-xSqgQCqhl5dxVd720OMVVhqM5DWvpsxvrI3q18GVU30U8mfq2uo7H5x7fvH9xocrk_HkPoU47OLKqLaXA2-zDtke3BjMk925xzcnP69vrkvL58f3ZxcnRZW64g12i5BKUso9YwRHBgXCcH2VnJZW-ADUK1rnEMbUcNReaMBNs7UNCJRnA2J4fr3OWqW7jeuilHM-pl9Iuyqw7G6z8nk_-sP4UvmnFOFW9KwMEmIIa7lUtZL3yybhzN5MIqaUTaUMaEZP9LG8R_U2AKWCtLVXPyak1tDClFNzwuj6AfGtXrRgt88ftXH9nPCgvY3wCTrBmHaCbr0y8nOLayFcW9XLvbVNr-23P3EbyzyA</recordid><startdate>20121001</startdate><enddate>20121001</enddate><creator>Greene, M. Todd</creator><creator>Chang, Robert</creator><creator>Kuhn, Latoya</creator><creator>Rogers, Mary A. M.</creator><creator>Chenoweth, Carol E.</creator><creator>Shuman, Emily</creator><creator>Saint, Sanjay</creator><general>University of Chicago Press</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><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope><scope>5PM</scope></search><sort><creationdate>20121001</creationdate><title>Predictors of Hospital-Acquired Urinary Tract–Related Bloodstream Infection</title><author>Greene, M. Todd ; Chang, Robert ; Kuhn, Latoya ; Rogers, Mary A. M. ; Chenoweth, Carol E. ; Shuman, Emily ; Saint, Sanjay</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c490t-1c47099c32ca3110e0aeb7f7bc747da03f698e5e31cb2a213ea70cde090b65643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Bacteremia - epidemiology</topic><topic>Bacteremia - etiology</topic><topic>Bacterial diseases</topic><topic>Bacterial diseases of the urinary system</topic><topic>Biological and medical sciences</topic><topic>Blood</topic><topic>Case-Control Studies</topic><topic>Confidence Intervals</topic><topic>Cross Infection - epidemiology</topic><topic>Cross Infection - etiology</topic><topic>Diabetes mellitus</topic><topic>Female</topic><topic>Forecasting</topic><topic>General aspects</topic><topic>Human bacterial diseases</topic><topic>Human infectious diseases. Experimental studies and models</topic><topic>Humans</topic><topic>Indexing in process</topic><topic>Infections</topic><topic>Infectious diseases</topic><topic>Insulin</topic><topic>Intensive Care Units</topic><topic>Liver diseases</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Michigan - epidemiology</topic><topic>Microorganisms</topic><topic>Middle Aged</topic><topic>Miscellaneous</topic><topic>Neutropenia</topic><topic>Nursing</topic><topic>Odds Ratio</topic><topic>Original Article</topic><topic>Predisposing factors</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Risk Factors</topic><topic>Tertiary Care Centers</topic><topic>Urinary Tract Infections - complications</topic><topic>Urine</topic><topic>Urologic diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Greene, M. Todd</creatorcontrib><creatorcontrib>Chang, Robert</creatorcontrib><creatorcontrib>Kuhn, Latoya</creatorcontrib><creatorcontrib>Rogers, Mary A. M.</creatorcontrib><creatorcontrib>Chenoweth, Carol E.</creatorcontrib><creatorcontrib>Shuman, Emily</creatorcontrib><creatorcontrib>Saint, Sanjay</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><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Infection control and hospital epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Greene, M. Todd</au><au>Chang, Robert</au><au>Kuhn, Latoya</au><au>Rogers, Mary A. M.</au><au>Chenoweth, Carol E.</au><au>Shuman, Emily</au><au>Saint, Sanjay</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors of Hospital-Acquired Urinary Tract–Related Bloodstream Infection</atitle><jtitle>Infection control and hospital epidemiology</jtitle><addtitle>Infect Control Hosp Epidemiol</addtitle><date>2012-10-01</date><risdate>2012</risdate><volume>33</volume><issue>10</issue><spage>1001</spage><epage>1007</epage><pages>1001-1007</pages><issn>0899-823X</issn><eissn>1559-6834</eissn><abstract>Objective. Bloodstream infection (BSI) secondary to nosocomial urinary tract infection is associated with substantial morbidity, mortality, and additional financial costs. Our objective was to identify predictors of nosocomial urinary tract–related BSI.
Design. Matched case-control study.
Setting. Midwestern tertiary care hospital.
Patients. Cases (
) were patients with a positive urine culture obtained more than 48 hours after admission and a blood culture obtained within 14 days of the urine culture that grew the same organism. Controls (
), selected by incidence density sampling, included patients with a positive urine culture who were at risk for BSI but did not develop one.
Methods. Conditional logistic regression and classification and regression tree analyses.
Results. The most frequently isolated microorganisms that spread from the urinary tract to the bloodstream were Enterococcus species. Independent risk factors included neutropenia (odds ratio [OR], 10.99; 95% confidence interval [CI], 5.78–20.88), renal disease (OR, 2.96; 95% CI, 1.98–4.41), and male sex (OR, 2.18; 95% CI, 1.52–3.12). The probability of developing a urinary tract–related BSI among neutropenic patients was 70%. Receipt of immunosuppressants (OR, 1.53; 95% CI, 1.04–2.25), insulin (OR, 4.82; 95% CI, 2.52–9.21), and antibacterials (OR, 0.66; 95% CI, 0.44–0.97) also significantly altered risk.
Conclusions. The heightened risk of urinary tract–related BSI associated with several comorbid conditions suggests that the management of nosocomial bacteriuria may benefit from tailoring to certain patient subgroups. Consideration of time-dependent risk factors, such as medications, may also help guide clinical decisions in reducing BSI.</abstract><cop>Chicago, IL</cop><pub>University of Chicago Press</pub><pmid>22961019</pmid><doi>10.1086/667731</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Bacteremia - epidemiology Bacteremia - etiology Bacterial diseases Bacterial diseases of the urinary system Biological and medical sciences Blood Case-Control Studies Confidence Intervals Cross Infection - epidemiology Cross Infection - etiology Diabetes mellitus Female Forecasting General aspects Human bacterial diseases Human infectious diseases. Experimental studies and models Humans Indexing in process Infections Infectious diseases Insulin Intensive Care Units Liver diseases Logistic Models Male Medical sciences Michigan - epidemiology Microorganisms Middle Aged Miscellaneous Neutropenia Nursing Odds Ratio Original Article Predisposing factors Public health. Hygiene Public health. Hygiene-occupational medicine Risk Factors Tertiary Care Centers Urinary Tract Infections - complications Urine Urologic diseases |
title | Predictors of Hospital-Acquired Urinary Tract–Related Bloodstream Infection |
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