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author De Simone, Belinda
Kluger, Yoram
Moore, Ernest E.
Sartelli, Massimo
Abu-Zidan, Fikri M.
Coccolini, Federico
Ansaloni, Luca
Tebala, Giovanni D.
Di Saverio, Salomone
Di Carlo, Isidoro
Sakakushev, Boris E.
Bonavina, Luigi
Sugrue, Michael
Galante, Joseph M.
Ivatury, Rao
Picetti, Edoardo
Chirica, Mircea
Wani, Imtiaz
Bala, Miklosh
Sall, Ibrahima
Kirkpatrick, Andrew W.
Shelat, Vishal G.
Pikoulis, Emmanouil
Leppäniemi, Ari
Tan, Edward
Broek, Richard P. G. ten
Gurmu Beka, Solomon
Litvin, Andrey
Chouillard, Elie
Coimbra, Raul
Cui, Yunfeng
De’ Angelis, Nicola
Sganga, Gabriele
Stahel, Philip F.
Agnoletti, Vanni
Rampini, Alessia
Testini, Mario
Bravi, Francesca
Maier, Ronald V.
Biffl, Walter L.
Catena, Fausto
author_facet De Simone, Belinda
Kluger, Yoram
Moore, Ernest E.
Sartelli, Massimo
Abu-Zidan, Fikri M.
Coccolini, Federico
Ansaloni, Luca
Tebala, Giovanni D.
Di Saverio, Salomone
Di Carlo, Isidoro
Sakakushev, Boris E.
Bonavina, Luigi
Sugrue, Michael
Galante, Joseph M.
Ivatury, Rao
Picetti, Edoardo
Chirica, Mircea
Wani, Imtiaz
Bala, Miklosh
Sall, Ibrahima
Kirkpatrick, Andrew W.
Shelat, Vishal G.
Pikoulis, Emmanouil
Leppäniemi, Ari
Tan, Edward
Broek, Richard P. G. ten
Gurmu Beka, Solomon
Litvin, Andrey
Chouillard, Elie
Coimbra, Raul
Cui, Yunfeng
De’ Angelis, Nicola
Sganga, Gabriele
Stahel, Philip F.
Agnoletti, Vanni
Rampini, Alessia
Testini, Mario
Bravi, Francesca
Maier, Ronald V.
Biffl, Walter L.
Catena, Fausto
author_sort De Simone, Belinda
collection PubMed
description BACKGROUND: Timely access to the operating room for emergency general surgery (EGS) indications remains a challenge across the globe, largely driven by operating room availability and staffing constraints. The “timing in acute care surgery” (TACS) classification was previously published to introduce a new tool to triage the timely and appropriate access of EGS patients to the operating room. However, the clinical and operational effectiveness of the TACS classification has not been investigated in subsequent validation studies. This study aimed to improve the TACS classification and provide further consensus around the appropriate use of the new TACS classification through a standardized Delphi approach with international experts. METHODS: This is a validation study of the new TACS by a selected international panel of experts using the Delphi method. The TACS questionnaire was designed as a web-based survey. The consensus agreement level was established to be ≥ 75%. The collective consensus agreement was defined as the sum of the percentage of the highest Likert scale levels (4–5) out of all participants. Surgical emergency diseases and correlated clinical scenarios were defined for each of the proposed classes. Subsequent rounds were carried out until a definitive level of consensus was reached. Frequencies and percentages were calculated to determine the degree of agreement for each surgical disease. RESULTS: Four polling rounds were carried out. The new TACS classification provides 6 colour-code classes correlated to a precise timing to surgery, defined scenarios and surgical condition. The WHITE colour-code class was introduced to rapidly (within a week) reschedule cancelled or postponed surgical procedures. Haemodynamic stability is the main tool to stratify patients for immediate surgery or not in the presence of sepsis/septic shock. Fifty-one surgical diseases were included in the different colour-code classes of priority. CONCLUSION: The new TACS classification is a comprehensive, simple, clear and reproducible triage system which can be used to assess the severity of the patient and the surgical disease, to reduce the time to access to the operating room, and to manage the emergency surgical patients within a “safe” timeframe. By including well-defined surgical diseases in the different colour-code classes of priority, validated through a Delphi consensus, the new TACS improves communication among surgeons, between surgeons and anaesthesiologists and decreases conflicts and waste and waiting time in accessing the operating room for emergency surgical patients. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13017-023-00499-3.
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spelling pubmed-101473542023-04-30 The new timing in acute care surgery (new TACS) classification: a WSES Delphi consensus study De Simone, Belinda Kluger, Yoram Moore, Ernest E. Sartelli, Massimo Abu-Zidan, Fikri M. Coccolini, Federico Ansaloni, Luca Tebala, Giovanni D. Di Saverio, Salomone Di Carlo, Isidoro Sakakushev, Boris E. Bonavina, Luigi Sugrue, Michael Galante, Joseph M. Ivatury, Rao Picetti, Edoardo Chirica, Mircea Wani, Imtiaz Bala, Miklosh Sall, Ibrahima Kirkpatrick, Andrew W. Shelat, Vishal G. Pikoulis, Emmanouil Leppäniemi, Ari Tan, Edward Broek, Richard P. G. ten Gurmu Beka, Solomon Litvin, Andrey Chouillard, Elie Coimbra, Raul Cui, Yunfeng De’ Angelis, Nicola Sganga, Gabriele Stahel, Philip F. Agnoletti, Vanni Rampini, Alessia Testini, Mario Bravi, Francesca Maier, Ronald V. Biffl, Walter L. Catena, Fausto World J Emerg Surg Research BACKGROUND: Timely access to the operating room for emergency general surgery (EGS) indications remains a challenge across the globe, largely driven by operating room availability and staffing constraints. The “timing in acute care surgery” (TACS) classification was previously published to introduce a new tool to triage the timely and appropriate access of EGS patients to the operating room. However, the clinical and operational effectiveness of the TACS classification has not been investigated in subsequent validation studies. This study aimed to improve the TACS classification and provide further consensus around the appropriate use of the new TACS classification through a standardized Delphi approach with international experts. METHODS: This is a validation study of the new TACS by a selected international panel of experts using the Delphi method. The TACS questionnaire was designed as a web-based survey. The consensus agreement level was established to be ≥ 75%. The collective consensus agreement was defined as the sum of the percentage of the highest Likert scale levels (4–5) out of all participants. Surgical emergency diseases and correlated clinical scenarios were defined for each of the proposed classes. Subsequent rounds were carried out until a definitive level of consensus was reached. Frequencies and percentages were calculated to determine the degree of agreement for each surgical disease. RESULTS: Four polling rounds were carried out. The new TACS classification provides 6 colour-code classes correlated to a precise timing to surgery, defined scenarios and surgical condition. The WHITE colour-code class was introduced to rapidly (within a week) reschedule cancelled or postponed surgical procedures. Haemodynamic stability is the main tool to stratify patients for immediate surgery or not in the presence of sepsis/septic shock. Fifty-one surgical diseases were included in the different colour-code classes of priority. CONCLUSION: The new TACS classification is a comprehensive, simple, clear and reproducible triage system which can be used to assess the severity of the patient and the surgical disease, to reduce the time to access to the operating room, and to manage the emergency surgical patients within a “safe” timeframe. By including well-defined surgical diseases in the different colour-code classes of priority, validated through a Delphi consensus, the new TACS improves communication among surgeons, between surgeons and anaesthesiologists and decreases conflicts and waste and waiting time in accessing the operating room for emergency surgical patients. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13017-023-00499-3. BioMed Central 2023-04-28 /pmc/articles/PMC10147354/ /pubmed/37118816 http://dx.doi.org/10.1186/s13017-023-00499-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
De Simone, Belinda
Kluger, Yoram
Moore, Ernest E.
Sartelli, Massimo
Abu-Zidan, Fikri M.
Coccolini, Federico
Ansaloni, Luca
Tebala, Giovanni D.
Di Saverio, Salomone
Di Carlo, Isidoro
Sakakushev, Boris E.
Bonavina, Luigi
Sugrue, Michael
Galante, Joseph M.
Ivatury, Rao
Picetti, Edoardo
Chirica, Mircea
Wani, Imtiaz
Bala, Miklosh
Sall, Ibrahima
Kirkpatrick, Andrew W.
Shelat, Vishal G.
Pikoulis, Emmanouil
Leppäniemi, Ari
Tan, Edward
Broek, Richard P. G. ten
Gurmu Beka, Solomon
Litvin, Andrey
Chouillard, Elie
Coimbra, Raul
Cui, Yunfeng
De’ Angelis, Nicola
Sganga, Gabriele
Stahel, Philip F.
Agnoletti, Vanni
Rampini, Alessia
Testini, Mario
Bravi, Francesca
Maier, Ronald V.
Biffl, Walter L.
Catena, Fausto
The new timing in acute care surgery (new TACS) classification: a WSES Delphi consensus study
title The new timing in acute care surgery (new TACS) classification: a WSES Delphi consensus study
title_full The new timing in acute care surgery (new TACS) classification: a WSES Delphi consensus study
title_fullStr The new timing in acute care surgery (new TACS) classification: a WSES Delphi consensus study
title_full_unstemmed The new timing in acute care surgery (new TACS) classification: a WSES Delphi consensus study
title_short The new timing in acute care surgery (new TACS) classification: a WSES Delphi consensus study
title_sort new timing in acute care surgery (new tacs) classification: a wses delphi consensus study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147354/
https://www.ncbi.nlm.nih.gov/pubmed/37118816
http://dx.doi.org/10.1186/s13017-023-00499-3
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