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 |
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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. A diagnostic strategy including the use of this model by physicians in training with access to supervising physicians' advice appears to be safe.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>Diagnosis, Computer-Assisted</subject><subject>Emergency Service, Hospital</subject><subject>Female</subject><subject>Hematology, Oncology and Palliative Medicine</subject><subject>Humans</subject><subject>Internship and Residency</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Physicians in training</subject><subject>Pretest probability</subject><subject>Probability</subject><subject>Prospective Studies</subject><subject>Pulmonary embolism</subject><subject>Pulmonary Embolism - blood</subject><subject>Pulmonary Embolism - diagnosis</subject><subject>Software Design</subject><issn>0049-3848</issn><issn>1879-2472</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkk2P1DAMhiMEYoeFv7DqiVuLk37mglit-JJW4gCIY5Sm7k6GtBniFKln_jjpzCAkLuQQy9FrO-8jM3bDoeDAm1eHIu6DnwJSIQCaAmQBwB-xHe9amYuqFY_ZDqCSedlV3RV7RnRIgpbL-im74i3U6TQ79uuWCIkmnGPmx-wYMCLFFH2ve-tsXE_Pi5v8rMOa4dR7Z2nK7JzFPaYcwwPOZs0GPOoQT436NTvuV7LG6plOyqDtbOeHbKHt3gq_oXOUTX5A95w9GbUjfHGJ1-zru7df7j7k95_ef7y7vc9NJXjMhdTj2Ncg6mE0vSy1rOtB17xvhtpgW0poG9HxCo3UlQHouk5WNQrddOMgW1les5fnvsndjyXZVJMlk_6hZ_QLqQSlFFxCEjZnoQmeKOCojsFOyb7ioDb86qD-4FcbfgVSJbqp8OYyYeknHP6WXXgnwZuzAJPPnxaDImMTPhxsQBPV4O3_Z7z-p4VxCa7R7juuSAe_hDlRVFyRUKA-b0uw7QA0AGXZQfkbeT-yTA</recordid><startdate>20070101</startdate><enddate>20070101</enddate><creator>Penaloza, Andrea</creator><creator>Mélot, Christian</creator><creator>Dochy, Emmanuelle</creator><creator>Blocklet, Didier</creator><creator>Gevenois, Pierre Alain</creator><creator>Wautrecht, Jean-Claude</creator><creator>Lheureux, Philippe</creator><creator>Motte, Serge</creator><general>Elsevier Ltd</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>7X8</scope></search><sort><creationdate>20070101</creationdate><title>Assessment of pretest probability of pulmonary embolism in the emergency department by physicians in training using the Wells model</title><author>Penaloza, Andrea ; 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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