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
Hauptverfasser: Kazempoor, Brian, Nahmias, Jeffry, Clark, Isabel, Schubl, Sebastian, Lekawa, Michael, Swentek, Lourdes, Keshava, Hari B., Grigorian, Areg
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container_end_page 2931
container_issue 11
container_start_page 2925
container_title World journal of surgery
container_volume 47
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
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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 &amp; 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. 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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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