Scoring Tool to Predict Need for Early Video-Assisted Thoracoscopic Surgery (VATS) After Pediatric Trauma
Background No widely used stratification tool exists to predict which pediatric trauma patients may require a video-assisted thoracoscopic surgery (VATS). We sought to develop a novel VATS-In-Pediatrics (VIP) score to predict the need for early VATS (within 72 h of admission) for pediatric trauma pa...
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Veröffentlicht in: | World journal of surgery 2023-11, Vol.47 (11), p.2925-2931 |
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container_title | World journal of surgery |
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creator | Kazempoor, Brian Nahmias, Jeffry Clark, Isabel Schubl, Sebastian Lekawa, Michael Swentek, Lourdes Keshava, Hari B. Grigorian, Areg |
description | Background
No widely used stratification tool exists to predict which pediatric trauma patients may require a video-assisted thoracoscopic surgery (VATS). We sought to develop a novel VATS-In-Pediatrics (VIP) score to predict the need for early VATS (within 72 h of admission) for pediatric trauma patients.
Methods
The pediatric 2017–2020 Trauma Quality Improvement Program database was used and divided into two sets (derivation set using 2017–2019 data and validation set using 2020 data). First, multiple logistic regression models were created to determine the risk of early VATS for patients ≤ 17 years old. Second, the weighted average and relative impact of each independent predictor were used to derive a VIP score. We then validated the score using the area under the receiver operating characteristic (AROC) curve.
Results
From 218,628 patients in the derivation set, 2183 (1.0%) underwent early VATS. A total of 8 independent predictors of VATS were identified, and the VIP score was derived with scores ranging from 0 to 9. The AROC for this was 0.91. The VATS rate increased steadily from 12.5 to 32% then 60.5% at scores of 3, 4, and 6, respectively. In the validation set, from 70,316 patients, 887 (1.3%) underwent VATS, and the AROC was 0.91.
Conclusions
VIP is a novel and validated scoring tool to predict the need for early VATS in pediatric trauma. This tool can potentially help hospital systems prepare for pediatric patients at high risk for requiring VATS during their first 72 h of admission. Future prospective research is needed to evaluate VIP as a tool that can improve clinical outcomes. |
doi_str_mv | 10.1007/s00268-023-07141-y |
format | Article |
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No widely used stratification tool exists to predict which pediatric trauma patients may require a video-assisted thoracoscopic surgery (VATS). We sought to develop a novel VATS-In-Pediatrics (VIP) score to predict the need for early VATS (within 72 h of admission) for pediatric trauma patients.
Methods
The pediatric 2017–2020 Trauma Quality Improvement Program database was used and divided into two sets (derivation set using 2017–2019 data and validation set using 2020 data). First, multiple logistic regression models were created to determine the risk of early VATS for patients ≤ 17 years old. Second, the weighted average and relative impact of each independent predictor were used to derive a VIP score. We then validated the score using the area under the receiver operating characteristic (AROC) curve.
Results
From 218,628 patients in the derivation set, 2183 (1.0%) underwent early VATS. A total of 8 independent predictors of VATS were identified, and the VIP score was derived with scores ranging from 0 to 9. The AROC for this was 0.91. The VATS rate increased steadily from 12.5 to 32% then 60.5% at scores of 3, 4, and 6, respectively. In the validation set, from 70,316 patients, 887 (1.3%) underwent VATS, and the AROC was 0.91.
Conclusions
VIP is a novel and validated scoring tool to predict the need for early VATS in pediatric trauma. This tool can potentially help hospital systems prepare for pediatric patients at high risk for requiring VATS during their first 72 h of admission. Future prospective research is needed to evaluate VIP as a tool that can improve clinical outcomes.</description><identifier>ISSN: 0364-2313</identifier><identifier>EISSN: 1432-2323</identifier><identifier>DOI: 10.1007/s00268-023-07141-y</identifier><identifier>PMID: 37653348</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Abdominal Surgery ; Cardiac Surgery ; Derivation ; General Surgery ; Medicine ; Medicine & Public Health ; Original Scientific Report ; Patients ; Pediatrics ; Quality control ; Regression analysis ; Regression models ; Surgery ; Thoracic Surgery ; Trauma ; Vascular Surgery</subject><ispartof>World journal of surgery, 2023-11, Vol.47 (11), p.2925-2931</ispartof><rights>The Author(s) 2023</rights><rights>2023 The Author(s)</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5031-bac35995e189235550030cc2badd2c51dceb3ffe97c0b24adfc3475ccfcf08773</citedby><cites>FETCH-LOGICAL-c5031-bac35995e189235550030cc2badd2c51dceb3ffe97c0b24adfc3475ccfcf08773</cites><orcidid>0009-0007-1110-0196</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00268-023-07141-y$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00268-023-07141-y$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,1417,27923,27924,41487,42556,45573,45574,51318</link.rule.ids></links><search><creatorcontrib>Kazempoor, Brian</creatorcontrib><creatorcontrib>Nahmias, Jeffry</creatorcontrib><creatorcontrib>Clark, Isabel</creatorcontrib><creatorcontrib>Schubl, Sebastian</creatorcontrib><creatorcontrib>Lekawa, Michael</creatorcontrib><creatorcontrib>Swentek, Lourdes</creatorcontrib><creatorcontrib>Keshava, Hari B.</creatorcontrib><creatorcontrib>Grigorian, Areg</creatorcontrib><title>Scoring Tool to Predict Need for Early Video-Assisted Thoracoscopic Surgery (VATS) After Pediatric Trauma</title><title>World journal of surgery</title><addtitle>World J Surg</addtitle><description>Background
No widely used stratification tool exists to predict which pediatric trauma patients may require a video-assisted thoracoscopic surgery (VATS). We sought to develop a novel VATS-In-Pediatrics (VIP) score to predict the need for early VATS (within 72 h of admission) for pediatric trauma patients.
Methods
The pediatric 2017–2020 Trauma Quality Improvement Program database was used and divided into two sets (derivation set using 2017–2019 data and validation set using 2020 data). First, multiple logistic regression models were created to determine the risk of early VATS for patients ≤ 17 years old. Second, the weighted average and relative impact of each independent predictor were used to derive a VIP score. We then validated the score using the area under the receiver operating characteristic (AROC) curve.
Results
From 218,628 patients in the derivation set, 2183 (1.0%) underwent early VATS. A total of 8 independent predictors of VATS were identified, and the VIP score was derived with scores ranging from 0 to 9. The AROC for this was 0.91. The VATS rate increased steadily from 12.5 to 32% then 60.5% at scores of 3, 4, and 6, respectively. In the validation set, from 70,316 patients, 887 (1.3%) underwent VATS, and the AROC was 0.91.
Conclusions
VIP is a novel and validated scoring tool to predict the need for early VATS in pediatric trauma. This tool can potentially help hospital systems prepare for pediatric patients at high risk for requiring VATS during their first 72 h of admission. Future prospective research is needed to evaluate VIP as a tool that can improve clinical outcomes.</description><subject>Abdominal Surgery</subject><subject>Cardiac Surgery</subject><subject>Derivation</subject><subject>General Surgery</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Original Scientific Report</subject><subject>Patients</subject><subject>Pediatrics</subject><subject>Quality control</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Surgery</subject><subject>Thoracic Surgery</subject><subject>Trauma</subject><subject>Vascular Surgery</subject><issn>0364-2313</issn><issn>1432-2323</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqNkctu1DAYhS0EokPhBVhZYlMWgd_XJGzQULUFVEGlCWVpOY49dZWJBzsB5e3rIRUIFoiVLZ2Lj_Uh9JzAKwJQvk4AVFYFUFZASTgp5gdoRTijBWWUPUQrYJLnO2FH6ElKtwCklCAfoyNWSsEYr1bIb0yIftjiJoQejwFfRdt5M-JP1nbYhYjPdOxnfO07G4p1Sj6NWWhuQtQmJBP23uDNFLc2zvjket1sXuK1G23EV7lHjzHLTdTTTj9Fj5zuk312fx6jL-dnzen74vLzxYfT9WVhBDBStNowUdfCkqqmTAgBwMAY2uquo0aQztiWOWfr0kBLue6cYbwUxjjjoCpLdozeLr37qd3ZbB_GqHu1j36n46yC9upPZfA3ahu-KwKCCyF5bji5b4jh22TTqHY-Gdv3erBhSopWEjjIsqLZ-uIv622Y4pD_l12ZSSWoPEyii8vEkFK07tcaAuqAUi0oVUapfqJUcw69WUI_fG_n_0iorx83786h5oLkMFvCaX-ga-PvXf948g5QqrJI</recordid><startdate>202311</startdate><enddate>202311</enddate><creator>Kazempoor, Brian</creator><creator>Nahmias, Jeffry</creator><creator>Clark, Isabel</creator><creator>Schubl, Sebastian</creator><creator>Lekawa, Michael</creator><creator>Swentek, Lourdes</creator><creator>Keshava, Hari B.</creator><creator>Grigorian, Areg</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0009-0007-1110-0196</orcidid></search><sort><creationdate>202311</creationdate><title>Scoring Tool to Predict Need for Early Video-Assisted Thoracoscopic Surgery (VATS) After Pediatric Trauma</title><author>Kazempoor, Brian ; Nahmias, Jeffry ; Clark, Isabel ; Schubl, Sebastian ; Lekawa, Michael ; Swentek, Lourdes ; Keshava, Hari B. ; Grigorian, Areg</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5031-bac35995e189235550030cc2badd2c51dceb3ffe97c0b24adfc3475ccfcf08773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Abdominal Surgery</topic><topic>Cardiac Surgery</topic><topic>Derivation</topic><topic>General Surgery</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Original Scientific Report</topic><topic>Patients</topic><topic>Pediatrics</topic><topic>Quality control</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Surgery</topic><topic>Thoracic Surgery</topic><topic>Trauma</topic><topic>Vascular Surgery</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kazempoor, Brian</creatorcontrib><creatorcontrib>Nahmias, Jeffry</creatorcontrib><creatorcontrib>Clark, Isabel</creatorcontrib><creatorcontrib>Schubl, Sebastian</creatorcontrib><creatorcontrib>Lekawa, Michael</creatorcontrib><creatorcontrib>Swentek, Lourdes</creatorcontrib><creatorcontrib>Keshava, Hari B.</creatorcontrib><creatorcontrib>Grigorian, Areg</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Wiley-Blackwell Open Access Titles</collection><collection>Wiley Free Content</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Immunology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>World journal of surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kazempoor, Brian</au><au>Nahmias, Jeffry</au><au>Clark, Isabel</au><au>Schubl, Sebastian</au><au>Lekawa, Michael</au><au>Swentek, Lourdes</au><au>Keshava, Hari B.</au><au>Grigorian, Areg</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Scoring Tool to Predict Need for Early Video-Assisted Thoracoscopic Surgery (VATS) After Pediatric Trauma</atitle><jtitle>World journal of surgery</jtitle><stitle>World J Surg</stitle><date>2023-11</date><risdate>2023</risdate><volume>47</volume><issue>11</issue><spage>2925</spage><epage>2931</epage><pages>2925-2931</pages><issn>0364-2313</issn><eissn>1432-2323</eissn><abstract>Background
No widely used stratification tool exists to predict which pediatric trauma patients may require a video-assisted thoracoscopic surgery (VATS). We sought to develop a novel VATS-In-Pediatrics (VIP) score to predict the need for early VATS (within 72 h of admission) for pediatric trauma patients.
Methods
The pediatric 2017–2020 Trauma Quality Improvement Program database was used and divided into two sets (derivation set using 2017–2019 data and validation set using 2020 data). First, multiple logistic regression models were created to determine the risk of early VATS for patients ≤ 17 years old. Second, the weighted average and relative impact of each independent predictor were used to derive a VIP score. We then validated the score using the area under the receiver operating characteristic (AROC) curve.
Results
From 218,628 patients in the derivation set, 2183 (1.0%) underwent early VATS. A total of 8 independent predictors of VATS were identified, and the VIP score was derived with scores ranging from 0 to 9. The AROC for this was 0.91. The VATS rate increased steadily from 12.5 to 32% then 60.5% at scores of 3, 4, and 6, respectively. In the validation set, from 70,316 patients, 887 (1.3%) underwent VATS, and the AROC was 0.91.
Conclusions
VIP is a novel and validated scoring tool to predict the need for early VATS in pediatric trauma. This tool can potentially help hospital systems prepare for pediatric patients at high risk for requiring VATS during their first 72 h of admission. Future prospective research is needed to evaluate VIP as a tool that can improve clinical outcomes.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>37653348</pmid><doi>10.1007/s00268-023-07141-y</doi><tpages>7</tpages><orcidid>https://orcid.org/0009-0007-1110-0196</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Abdominal Surgery Cardiac Surgery Derivation General Surgery Medicine Medicine & Public Health Original Scientific Report Patients Pediatrics Quality control Regression analysis Regression models Surgery Thoracic Surgery Trauma Vascular Surgery |
title | Scoring Tool to Predict Need for Early Video-Assisted Thoracoscopic Surgery (VATS) After Pediatric Trauma |
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