The potential impact of biomarker-guided triage decisions for patients with urinary tract infections
Objectives Current guidelines provide limited evidence as to which patients with urinary tract infection (UTI) require hospitalisation. We evaluated the currently used triage routine and tested whether a set of criteria including biomarkers like proadrenomedullin (proADM) and urea have the potential...
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Veröffentlicht in: | Infection 2013-08, Vol.41 (4), p.799-809 |
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creator | Litke, A. Bossart, R. Regez, K. Schild, U. Guglielmetti, M. Conca, A. Schäfer, P. Reutlinger, B. Mueller, B. Albrich, W. C. |
description | Objectives
Current guidelines provide limited evidence as to which patients with urinary tract infection (UTI) require hospitalisation. We evaluated the currently used triage routine and tested whether a set of criteria including biomarkers like proadrenomedullin (proADM) and urea have the potential to improve triage decisions.
Methods
Consecutive adults with UTI presenting to our emergency department (ED) were recruited and followed for 30 days. We defined three virtual triage algorithms, which included either guideline-based clinical criteria, optimised admission proADM or urea levels in addition to a set of clinical criteria. We compared actual treatment sites and observed adverse events based on the physician judgment with the proportion of patients assigned to treatment sites according to the three virtual algorithms. Adverse outcome was defined as transfer to the intensive care unit (ICU), death, recurrence of UTI or rehospitalisation for any reason.
Results
We recruited 127 patients (age 61.8 ± 20.8 years; 73.2 % females) and analysed the data of 123 patients with a final diagnosis of UTI. Of these 123 patients, 27 (22.0 %) were treated as outpatients. Virtual triage based only on clinical signs would have treated only 22 (17.9 %) patients as outpatients, with higher proportions of outpatients equally in both biomarker groups (29.3 %;
p
= 0.02). There were no significant differences in adverse events between outpatients according to the clinical (4.5 %), proADM (2.8 %) or urea groups (2.8 %). The mean length of stay was 6.6 days, including 2.2 days after reaching medical stability.
Conclusions
Adding biomarkers to clinical criteria has the potential to improve risk-based triage without impairing safety. Current rates of admission and length of stay could be shortened in patients with UTI. |
doi_str_mv | 10.1007/s15010-013-0423-1 |
format | Article |
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Current guidelines provide limited evidence as to which patients with urinary tract infection (UTI) require hospitalisation. We evaluated the currently used triage routine and tested whether a set of criteria including biomarkers like proadrenomedullin (proADM) and urea have the potential to improve triage decisions.
Methods
Consecutive adults with UTI presenting to our emergency department (ED) were recruited and followed for 30 days. We defined three virtual triage algorithms, which included either guideline-based clinical criteria, optimised admission proADM or urea levels in addition to a set of clinical criteria. We compared actual treatment sites and observed adverse events based on the physician judgment with the proportion of patients assigned to treatment sites according to the three virtual algorithms. Adverse outcome was defined as transfer to the intensive care unit (ICU), death, recurrence of UTI or rehospitalisation for any reason.
Results
We recruited 127 patients (age 61.8 ± 20.8 years; 73.2 % females) and analysed the data of 123 patients with a final diagnosis of UTI. Of these 123 patients, 27 (22.0 %) were treated as outpatients. Virtual triage based only on clinical signs would have treated only 22 (17.9 %) patients as outpatients, with higher proportions of outpatients equally in both biomarker groups (29.3 %;
p
= 0.02). There were no significant differences in adverse events between outpatients according to the clinical (4.5 %), proADM (2.8 %) or urea groups (2.8 %). The mean length of stay was 6.6 days, including 2.2 days after reaching medical stability.
Conclusions
Adding biomarkers to clinical criteria has the potential to improve risk-based triage without impairing safety. Current rates of admission and length of stay could be shortened in patients with UTI.</description><identifier>ISSN: 0300-8126</identifier><identifier>EISSN: 1439-0973</identifier><identifier>DOI: 10.1007/s15010-013-0423-1</identifier><identifier>PMID: 23435720</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Algorithms ; Biomarkers - analysis ; Clinical and Epidemiological Study ; Clinical Laboratory Techniques - methods ; Clinical Medicine - methods ; Emergency medical services ; Family Medicine ; Female ; General Practice ; Hospitalization ; Humans ; Infectious Diseases ; Internal Medicine ; Length of Stay - statistics & numerical data ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Prospective Studies ; Urea ; Urinary Tract Infections - diagnosis ; Urinary Tract Infections - drug therapy ; Urinary Tract Infections - pathology</subject><ispartof>Infection, 2013-08, Vol.41 (4), p.799-809</ispartof><rights>Springer-Verlag Berlin Heidelberg 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-8083d7be86cd843e99d79bdd4fa03c6e11928f85c948f8669050989dfa9fd8e33</citedby><cites>FETCH-LOGICAL-c415t-8083d7be86cd843e99d79bdd4fa03c6e11928f85c948f8669050989dfa9fd8e33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s15010-013-0423-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s15010-013-0423-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23435720$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Litke, A.</creatorcontrib><creatorcontrib>Bossart, R.</creatorcontrib><creatorcontrib>Regez, K.</creatorcontrib><creatorcontrib>Schild, U.</creatorcontrib><creatorcontrib>Guglielmetti, M.</creatorcontrib><creatorcontrib>Conca, A.</creatorcontrib><creatorcontrib>Schäfer, P.</creatorcontrib><creatorcontrib>Reutlinger, B.</creatorcontrib><creatorcontrib>Mueller, B.</creatorcontrib><creatorcontrib>Albrich, W. C.</creatorcontrib><title>The potential impact of biomarker-guided triage decisions for patients with urinary tract infections</title><title>Infection</title><addtitle>Infection</addtitle><addtitle>Infection</addtitle><description>Objectives
Current guidelines provide limited evidence as to which patients with urinary tract infection (UTI) require hospitalisation. We evaluated the currently used triage routine and tested whether a set of criteria including biomarkers like proadrenomedullin (proADM) and urea have the potential to improve triage decisions.
Methods
Consecutive adults with UTI presenting to our emergency department (ED) were recruited and followed for 30 days. We defined three virtual triage algorithms, which included either guideline-based clinical criteria, optimised admission proADM or urea levels in addition to a set of clinical criteria. We compared actual treatment sites and observed adverse events based on the physician judgment with the proportion of patients assigned to treatment sites according to the three virtual algorithms. Adverse outcome was defined as transfer to the intensive care unit (ICU), death, recurrence of UTI or rehospitalisation for any reason.
Results
We recruited 127 patients (age 61.8 ± 20.8 years; 73.2 % females) and analysed the data of 123 patients with a final diagnosis of UTI. Of these 123 patients, 27 (22.0 %) were treated as outpatients. Virtual triage based only on clinical signs would have treated only 22 (17.9 %) patients as outpatients, with higher proportions of outpatients equally in both biomarker groups (29.3 %;
p
= 0.02). There were no significant differences in adverse events between outpatients according to the clinical (4.5 %), proADM (2.8 %) or urea groups (2.8 %). The mean length of stay was 6.6 days, including 2.2 days after reaching medical stability.
Conclusions
Adding biomarkers to clinical criteria has the potential to improve risk-based triage without impairing safety. Current rates of admission and length of stay could be shortened in patients with UTI.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>Biomarkers - analysis</subject><subject>Clinical and Epidemiological Study</subject><subject>Clinical Laboratory Techniques - methods</subject><subject>Clinical Medicine - methods</subject><subject>Emergency medical services</subject><subject>Family Medicine</subject><subject>Female</subject><subject>General Practice</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>Infectious Diseases</subject><subject>Internal Medicine</subject><subject>Length of Stay - statistics & numerical data</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Prospective Studies</subject><subject>Urea</subject><subject>Urinary Tract Infections - diagnosis</subject><subject>Urinary Tract Infections - drug therapy</subject><subject>Urinary Tract Infections - pathology</subject><issn>0300-8126</issn><issn>1439-0973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kU-LFDEQxYMo7rj6AbxIwIuXaFUn3Z0cZfEfLHhZz00mqcxmnem0SRrZb2-aWUUET3Wo33tVvMfYS4S3CDC-K9gDggCUAlQnBT5iO1TSCDCjfMx2IAGExm64YM9KuQOA3qjxKbvopJL92MGO-Ztb4kuqNNdojzyeFusqT4HvYzrZ_J2yOKzRk-c1R3sg7snFEtNceEiZL7bGJi38Z6y3fM1xtvm-oZtJnAO5uqHP2ZNgj4VePMxL9u3jh5urz-L666cvV--vhVPYV6FBSz_uSQ_OayXJGD-avfcqWJBuIETT6aB7Z1Qbw2CgB6OND9YEr0nKS_bm7Lvk9GOlUqdTLI6ORztTWsuECiUOOGho6Ot_0Lu05rl9t1EdGIn92Cg8Uy6nUjKFacmxxXI_IUxbBdO5gqlVMG0VTNg0rx6c1_2J_B_F78wb0J2B0lbzgfJfp__r-guF4pF3</recordid><startdate>20130801</startdate><enddate>20130801</enddate><creator>Litke, A.</creator><creator>Bossart, R.</creator><creator>Regez, K.</creator><creator>Schild, U.</creator><creator>Guglielmetti, M.</creator><creator>Conca, A.</creator><creator>Schäfer, P.</creator><creator>Reutlinger, B.</creator><creator>Mueller, B.</creator><creator>Albrich, W. C.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><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>3V.</scope><scope>7QL</scope><scope>7RV</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20130801</creationdate><title>The potential impact of biomarker-guided triage decisions for patients with urinary tract infections</title><author>Litke, A. ; Bossart, R. ; Regez, K. ; Schild, U. ; Guglielmetti, M. ; Conca, A. ; Schäfer, P. ; Reutlinger, B. ; Mueller, B. ; Albrich, W. C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-8083d7be86cd843e99d79bdd4fa03c6e11928f85c948f8669050989dfa9fd8e33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>Biomarkers - analysis</topic><topic>Clinical and Epidemiological Study</topic><topic>Clinical Laboratory Techniques - methods</topic><topic>Clinical Medicine - methods</topic><topic>Emergency medical services</topic><topic>Family Medicine</topic><topic>Female</topic><topic>General Practice</topic><topic>Hospitalization</topic><topic>Humans</topic><topic>Infectious Diseases</topic><topic>Internal Medicine</topic><topic>Length of Stay - statistics & numerical data</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Prospective Studies</topic><topic>Urea</topic><topic>Urinary Tract Infections - diagnosis</topic><topic>Urinary Tract Infections - drug therapy</topic><topic>Urinary Tract Infections - pathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Litke, A.</creatorcontrib><creatorcontrib>Bossart, R.</creatorcontrib><creatorcontrib>Regez, K.</creatorcontrib><creatorcontrib>Schild, U.</creatorcontrib><creatorcontrib>Guglielmetti, M.</creatorcontrib><creatorcontrib>Conca, A.</creatorcontrib><creatorcontrib>Schäfer, P.</creatorcontrib><creatorcontrib>Reutlinger, B.</creatorcontrib><creatorcontrib>Mueller, B.</creatorcontrib><creatorcontrib>Albrich, W. 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C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The potential impact of biomarker-guided triage decisions for patients with urinary tract infections</atitle><jtitle>Infection</jtitle><stitle>Infection</stitle><addtitle>Infection</addtitle><date>2013-08-01</date><risdate>2013</risdate><volume>41</volume><issue>4</issue><spage>799</spage><epage>809</epage><pages>799-809</pages><issn>0300-8126</issn><eissn>1439-0973</eissn><abstract>Objectives
Current guidelines provide limited evidence as to which patients with urinary tract infection (UTI) require hospitalisation. We evaluated the currently used triage routine and tested whether a set of criteria including biomarkers like proadrenomedullin (proADM) and urea have the potential to improve triage decisions.
Methods
Consecutive adults with UTI presenting to our emergency department (ED) were recruited and followed for 30 days. We defined three virtual triage algorithms, which included either guideline-based clinical criteria, optimised admission proADM or urea levels in addition to a set of clinical criteria. We compared actual treatment sites and observed adverse events based on the physician judgment with the proportion of patients assigned to treatment sites according to the three virtual algorithms. Adverse outcome was defined as transfer to the intensive care unit (ICU), death, recurrence of UTI or rehospitalisation for any reason.
Results
We recruited 127 patients (age 61.8 ± 20.8 years; 73.2 % females) and analysed the data of 123 patients with a final diagnosis of UTI. Of these 123 patients, 27 (22.0 %) were treated as outpatients. Virtual triage based only on clinical signs would have treated only 22 (17.9 %) patients as outpatients, with higher proportions of outpatients equally in both biomarker groups (29.3 %;
p
= 0.02). There were no significant differences in adverse events between outpatients according to the clinical (4.5 %), proADM (2.8 %) or urea groups (2.8 %). The mean length of stay was 6.6 days, including 2.2 days after reaching medical stability.
Conclusions
Adding biomarkers to clinical criteria has the potential to improve risk-based triage without impairing safety. Current rates of admission and length of stay could be shortened in patients with UTI.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>23435720</pmid><doi>10.1007/s15010-013-0423-1</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Aged, 80 and over Algorithms Biomarkers - analysis Clinical and Epidemiological Study Clinical Laboratory Techniques - methods Clinical Medicine - methods Emergency medical services Family Medicine Female General Practice Hospitalization Humans Infectious Diseases Internal Medicine Length of Stay - statistics & numerical data Male Medicine Medicine & Public Health Middle Aged Prospective Studies Urea Urinary Tract Infections - diagnosis Urinary Tract Infections - drug therapy Urinary Tract Infections - pathology |
title | The potential impact of biomarker-guided triage decisions for patients with urinary tract infections |
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