Assessment of pretest probability of pulmonary embolism in the emergency department by physicians in training using the Wells model

Abstract Introduction Assessment of pretest probability should be the initial step in investigation of patients with suspected pulmonary embolism (PE). In teaching hospitals physicians in training are often the first physicians to evaluate patients. Objective To evaluate the accuracy of pretest prob...

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Veröffentlicht in:Thrombosis research 2007-01, Vol.120 (2), p.173-179
Hauptverfasser: Penaloza, Andrea, Mélot, Christian, Dochy, Emmanuelle, Blocklet, Didier, Gevenois, Pierre Alain, Wautrecht, Jean-Claude, Lheureux, Philippe, Motte, Serge
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container_end_page 179
container_issue 2
container_start_page 173
container_title Thrombosis research
container_volume 120
creator Penaloza, Andrea
Mélot, Christian
Dochy, Emmanuelle
Blocklet, Didier
Gevenois, Pierre Alain
Wautrecht, Jean-Claude
Lheureux, Philippe
Motte, Serge
description Abstract Introduction Assessment of pretest probability should be the initial step in investigation of patients with suspected pulmonary embolism (PE). In teaching hospitals physicians in training are often the first physicians to evaluate patients. Objective To evaluate the accuracy of pretest probability assessment of PE by physicians in training using the Wells clinical model and to assess the safety of a diagnostic strategy including pretest probability assessment. Patients and methods 291 consecutive outpatients with clinical suspicion of PE were categorized as having a low, moderate or high pretest probability of PE by physicians in training who could take supervising physicians' advice when they deemed necessary. Then, patients were managed according to a sequential diagnostic algorithm including D-dimer testing, lung scan, leg compression ultrasonography and helical computed tomography. Patients in whom PE was deemed absent were followed up for 3 months. Results 34 patients (18%) had PE. Prevalence of PE in the low, moderate and high pretest probability groups categorized by physicians in training alone was 3% (95% confidence interval (CI): 1% to 9%), 31% (95% CI: 22% to 42%) and 100% (95% CI: 61% to 100%) respectively. One of the 152 untreated patients (0.7%, 95% CI: 0.1% to 3.6%) developed a thromboembolic event during the 3-month follow-up period. Conclusion Physicians in training can use the Wells clinical model to determine pretest probability of PE. A diagnostic strategy including the use of this model by physicians in training with access to supervising physicians' advice appears to be safe.
doi_str_mv 10.1016/j.thromres.2006.09.001
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In teaching hospitals physicians in training are often the first physicians to evaluate patients. Objective To evaluate the accuracy of pretest probability assessment of PE by physicians in training using the Wells clinical model and to assess the safety of a diagnostic strategy including pretest probability assessment. Patients and methods 291 consecutive outpatients with clinical suspicion of PE were categorized as having a low, moderate or high pretest probability of PE by physicians in training who could take supervising physicians' advice when they deemed necessary. Then, patients were managed according to a sequential diagnostic algorithm including D-dimer testing, lung scan, leg compression ultrasonography and helical computed tomography. Patients in whom PE was deemed absent were followed up for 3 months. Results 34 patients (18%) had PE. Prevalence of PE in the low, moderate and high pretest probability groups categorized by physicians in training alone was 3% (95% confidence interval (CI): 1% to 9%), 31% (95% CI: 22% to 42%) and 100% (95% CI: 61% to 100%) respectively. One of the 152 untreated patients (0.7%, 95% CI: 0.1% to 3.6%) developed a thromboembolic event during the 3-month follow-up period. Conclusion Physicians in training can use the Wells clinical model to determine pretest probability of PE. A diagnostic strategy including the use of this model by physicians in training with access to supervising physicians' advice appears to be safe.</description><identifier>ISSN: 0049-3848</identifier><identifier>EISSN: 1879-2472</identifier><identifier>DOI: 10.1016/j.thromres.2006.09.001</identifier><identifier>PMID: 17055556</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Algorithms ; Diagnosis, Computer-Assisted ; Emergency Service, Hospital ; Female ; Hematology, Oncology and Palliative Medicine ; Humans ; Internship and Residency ; Male ; Middle Aged ; Physicians in training ; Pretest probability ; Probability ; Prospective Studies ; Pulmonary embolism ; Pulmonary Embolism - blood ; Pulmonary Embolism - diagnosis ; Software Design</subject><ispartof>Thrombosis research, 2007-01, Vol.120 (2), p.173-179</ispartof><rights>Elsevier B.V.</rights><rights>2006 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c421t-29affb5025dfcb93a955da51b6d5ce7390762814ec9a4c00888945e2a68fd9793</citedby><cites>FETCH-LOGICAL-c421t-29affb5025dfcb93a955da51b6d5ce7390762814ec9a4c00888945e2a68fd9793</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.thromres.2006.09.001$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17055556$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Penaloza, Andrea</creatorcontrib><creatorcontrib>Mélot, Christian</creatorcontrib><creatorcontrib>Dochy, Emmanuelle</creatorcontrib><creatorcontrib>Blocklet, Didier</creatorcontrib><creatorcontrib>Gevenois, Pierre Alain</creatorcontrib><creatorcontrib>Wautrecht, Jean-Claude</creatorcontrib><creatorcontrib>Lheureux, Philippe</creatorcontrib><creatorcontrib>Motte, Serge</creatorcontrib><title>Assessment of pretest probability of pulmonary embolism in the emergency department by physicians in training using the Wells model</title><title>Thrombosis research</title><addtitle>Thromb Res</addtitle><description>Abstract Introduction Assessment of pretest probability should be the initial step in investigation of patients with suspected pulmonary embolism (PE). In teaching hospitals physicians in training are often the first physicians to evaluate patients. Objective To evaluate the accuracy of pretest probability assessment of PE by physicians in training using the Wells clinical model and to assess the safety of a diagnostic strategy including pretest probability assessment. Patients and methods 291 consecutive outpatients with clinical suspicion of PE were categorized as having a low, moderate or high pretest probability of PE by physicians in training who could take supervising physicians' advice when they deemed necessary. Then, patients were managed according to a sequential diagnostic algorithm including D-dimer testing, lung scan, leg compression ultrasonography and helical computed tomography. Patients in whom PE was deemed absent were followed up for 3 months. Results 34 patients (18%) had PE. Prevalence of PE in the low, moderate and high pretest probability groups categorized by physicians in training alone was 3% (95% confidence interval (CI): 1% to 9%), 31% (95% CI: 22% to 42%) and 100% (95% CI: 61% to 100%) respectively. One of the 152 untreated patients (0.7%, 95% CI: 0.1% to 3.6%) developed a thromboembolic event during the 3-month follow-up period. Conclusion Physicians in training can use the Wells clinical model to determine pretest probability of PE. 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Mélot, Christian ; Dochy, Emmanuelle ; Blocklet, Didier ; Gevenois, Pierre Alain ; Wautrecht, Jean-Claude ; Lheureux, Philippe ; Motte, Serge</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c421t-29affb5025dfcb93a955da51b6d5ce7390762814ec9a4c00888945e2a68fd9793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>Diagnosis, Computer-Assisted</topic><topic>Emergency Service, Hospital</topic><topic>Female</topic><topic>Hematology, Oncology and Palliative Medicine</topic><topic>Humans</topic><topic>Internship and Residency</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Physicians in training</topic><topic>Pretest probability</topic><topic>Probability</topic><topic>Prospective Studies</topic><topic>Pulmonary embolism</topic><topic>Pulmonary Embolism - blood</topic><topic>Pulmonary Embolism - diagnosis</topic><topic>Software Design</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Penaloza, Andrea</creatorcontrib><creatorcontrib>Mélot, Christian</creatorcontrib><creatorcontrib>Dochy, Emmanuelle</creatorcontrib><creatorcontrib>Blocklet, Didier</creatorcontrib><creatorcontrib>Gevenois, Pierre Alain</creatorcontrib><creatorcontrib>Wautrecht, Jean-Claude</creatorcontrib><creatorcontrib>Lheureux, Philippe</creatorcontrib><creatorcontrib>Motte, Serge</creatorcontrib><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>Thrombosis research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Penaloza, Andrea</au><au>Mélot, Christian</au><au>Dochy, Emmanuelle</au><au>Blocklet, Didier</au><au>Gevenois, Pierre Alain</au><au>Wautrecht, Jean-Claude</au><au>Lheureux, Philippe</au><au>Motte, Serge</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of pretest probability of pulmonary embolism in the emergency department by physicians in training using the Wells model</atitle><jtitle>Thrombosis research</jtitle><addtitle>Thromb Res</addtitle><date>2007-01-01</date><risdate>2007</risdate><volume>120</volume><issue>2</issue><spage>173</spage><epage>179</epage><pages>173-179</pages><issn>0049-3848</issn><eissn>1879-2472</eissn><abstract>Abstract Introduction Assessment of pretest probability should be the initial step in investigation of patients with suspected pulmonary embolism (PE). In teaching hospitals physicians in training are often the first physicians to evaluate patients. Objective To evaluate the accuracy of pretest probability assessment of PE by physicians in training using the Wells clinical model and to assess the safety of a diagnostic strategy including pretest probability assessment. Patients and methods 291 consecutive outpatients with clinical suspicion of PE were categorized as having a low, moderate or high pretest probability of PE by physicians in training who could take supervising physicians' advice when they deemed necessary. Then, patients were managed according to a sequential diagnostic algorithm including D-dimer testing, lung scan, leg compression ultrasonography and helical computed tomography. Patients in whom PE was deemed absent were followed up for 3 months. Results 34 patients (18%) had PE. Prevalence of PE in the low, moderate and high pretest probability groups categorized by physicians in training alone was 3% (95% confidence interval (CI): 1% to 9%), 31% (95% CI: 22% to 42%) and 100% (95% CI: 61% to 100%) respectively. One of the 152 untreated patients (0.7%, 95% CI: 0.1% to 3.6%) developed a thromboembolic event during the 3-month follow-up period. Conclusion Physicians in training can use the Wells clinical model to determine pretest probability of PE. A diagnostic strategy including the use of this model by physicians in training with access to supervising physicians' advice appears to be safe.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><pmid>17055556</pmid><doi>10.1016/j.thromres.2006.09.001</doi><tpages>7</tpages></addata></record>
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subjects Adolescent
Adult
Aged
Aged, 80 and over
Algorithms
Diagnosis, Computer-Assisted
Emergency Service, Hospital
Female
Hematology, Oncology and Palliative Medicine
Humans
Internship and Residency
Male
Middle Aged
Physicians in training
Pretest probability
Probability
Prospective Studies
Pulmonary embolism
Pulmonary Embolism - blood
Pulmonary Embolism - diagnosis
Software Design
title Assessment of pretest probability of pulmonary embolism in the emergency department by physicians in training using the Wells model
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