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Prospective validation of classification of intraoperative adverse events (ClassIntra): international, multicentre cohort study

OBJECTIVE: To prospectively assess the construct and criterion validity of ClassIntra version 1.0, a newly developed classification for assessing intraoperative adverse events. DESIGN: International, multicentre cohort study. SETTING: 18 secondary and tertiary centres from 12 countries in Europe, Oc...

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Autores principales: Dell-Kuster, Salome, Gomes, Nuno V, Gawria, Larsa, Aghlmandi, Soheila, Aduse-Poku, Maame, Bissett, Ian, Blanc, Catherine, Brandt, Christian, ten Broek, Richard B, Bruppacher, Heinz R, Clancy, Cillian, Delrio, Paolo, Espin, Eloy, Galanos-Demiris, Konstantinos, Gecim, I Ethem, Ghaffari, Shahbaz, Gié, Olivier, Goebel, Barbara, Hahnloser, Dieter, Herbst, Friedrich, Orestis, Ioannidis, Joller, Sonja, Kang, Soojin, Martín, Rocio, Mayr, Johannes, Meier, Sonja, Murugesan, Jothi, Nally, Deirdre, Ozcelik, Menekse, Pace, Ugo, Passeri, Michael, Rabanser, Simone, Ranter, Barbara, Rega, Daniela, Ridgway, Paul F, Rosman, Camiel, Schmid, Roger, Schumacher, Philippe, Solis-Pena, Alejandro, Villarino, Laura, Vrochides, Dionisios, Engel, Alexander, O’Grady, Greg, Loveday, Benjamin, Steiner, Luzius A, Van Goor, Harry, Bucher, Heiner C, Clavien, Pierre-Alain, Kirchhoff, Philipp, Rosenthal, Rachel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500355/
https://www.ncbi.nlm.nih.gov/pubmed/32843333
http://dx.doi.org/10.1136/bmj.m2917
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author Dell-Kuster, Salome
Gomes, Nuno V
Gawria, Larsa
Aghlmandi, Soheila
Aduse-Poku, Maame
Bissett, Ian
Blanc, Catherine
Brandt, Christian
ten Broek, Richard B
Bruppacher, Heinz R
Clancy, Cillian
Delrio, Paolo
Espin, Eloy
Galanos-Demiris, Konstantinos
Gecim, I Ethem
Ghaffari, Shahbaz
Gié, Olivier
Goebel, Barbara
Hahnloser, Dieter
Herbst, Friedrich
Orestis, Ioannidis
Joller, Sonja
Kang, Soojin
Martín, Rocio
Mayr, Johannes
Meier, Sonja
Murugesan, Jothi
Nally, Deirdre
Ozcelik, Menekse
Pace, Ugo
Passeri, Michael
Rabanser, Simone
Ranter, Barbara
Rega, Daniela
Ridgway, Paul F
Rosman, Camiel
Schmid, Roger
Schumacher, Philippe
Solis-Pena, Alejandro
Villarino, Laura
Vrochides, Dionisios
Engel, Alexander
O’Grady, Greg
Loveday, Benjamin
Steiner, Luzius A
Van Goor, Harry
Bucher, Heiner C
Clavien, Pierre-Alain
Kirchhoff, Philipp
Rosenthal, Rachel
author_facet Dell-Kuster, Salome
Gomes, Nuno V
Gawria, Larsa
Aghlmandi, Soheila
Aduse-Poku, Maame
Bissett, Ian
Blanc, Catherine
Brandt, Christian
ten Broek, Richard B
Bruppacher, Heinz R
Clancy, Cillian
Delrio, Paolo
Espin, Eloy
Galanos-Demiris, Konstantinos
Gecim, I Ethem
Ghaffari, Shahbaz
Gié, Olivier
Goebel, Barbara
Hahnloser, Dieter
Herbst, Friedrich
Orestis, Ioannidis
Joller, Sonja
Kang, Soojin
Martín, Rocio
Mayr, Johannes
Meier, Sonja
Murugesan, Jothi
Nally, Deirdre
Ozcelik, Menekse
Pace, Ugo
Passeri, Michael
Rabanser, Simone
Ranter, Barbara
Rega, Daniela
Ridgway, Paul F
Rosman, Camiel
Schmid, Roger
Schumacher, Philippe
Solis-Pena, Alejandro
Villarino, Laura
Vrochides, Dionisios
Engel, Alexander
O’Grady, Greg
Loveday, Benjamin
Steiner, Luzius A
Van Goor, Harry
Bucher, Heiner C
Clavien, Pierre-Alain
Kirchhoff, Philipp
Rosenthal, Rachel
author_sort Dell-Kuster, Salome
collection PubMed
description OBJECTIVE: To prospectively assess the construct and criterion validity of ClassIntra version 1.0, a newly developed classification for assessing intraoperative adverse events. DESIGN: International, multicentre cohort study. SETTING: 18 secondary and tertiary centres from 12 countries in Europe, Oceania, and North America. PARTICIPANTS: The cohort study included a representative sample of 2520 patients in hospital having any type of surgery, followed up until discharge. A follow-up to assess mortality at 30 days was performed in 2372 patients (94%). A survey was sent to a representative sample of 163 surgeons and anaesthetists from participating centres. MAIN OUTCOME MEASURES: Intraoperative complications were assessed according to ClassIntra. Postoperative complications were assessed daily until discharge from hospital with the Clavien-Dindo classification. The primary endpoint was construct validity by investigating the risk adjusted association between the most severe intraoperative and postoperative complications, measured in a multivariable hierarchical proportional odds model. For criterion validity, inter-rater reliability was evaluated in a survey of 10 fictitious case scenarios describing intraoperative complications. RESULTS: Of 2520 patients enrolled, 610 (24%) experienced at least one intraoperative adverse event and 838 (33%) at least one postoperative complication. Multivariable analysis showed a gradual increase in risk for a more severe postoperative complication with increasing grade of ClassIntra: ClassIntra grade I versus grade 0, odds ratio 0.99 (95% confidence interval 0.69 to 1.42); grade II versus grade 0, 1.39 (0.97 to 2.00); grade III versus grade 0, 2.62 (1.31 to 5.26); and grade IV versus grade 0, 3.81 (1.19 to 12.2). ClassIntra showed high criterion validity with an intraclass correlation coefficient of 0.76 (95% confidence interval 0.59 to 0.91) in the survey (response rate 83%). CONCLUSIONS: ClassIntra is the first prospectively validated classification for assessing intraoperative adverse events in a standardised way, linking them to postoperative complications with the well established Clavien-Dindo classification. ClassIntra can be incorporated into routine practice in perioperative surgical safety checklists, or used as a monitoring and outcome reporting tool for different surgical disciplines. Future studies should investigate whether the tool is useful to stratify patients to the appropriate postoperative care, to enhance the quality of surgical interventions, and to improve long term outcomes of surgical patients. TRIAL REGISTRATION: ClinicalTrials.gov NCT03009929.
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spelling pubmed-75003552020-09-28 Prospective validation of classification of intraoperative adverse events (ClassIntra): international, multicentre cohort study Dell-Kuster, Salome Gomes, Nuno V Gawria, Larsa Aghlmandi, Soheila Aduse-Poku, Maame Bissett, Ian Blanc, Catherine Brandt, Christian ten Broek, Richard B Bruppacher, Heinz R Clancy, Cillian Delrio, Paolo Espin, Eloy Galanos-Demiris, Konstantinos Gecim, I Ethem Ghaffari, Shahbaz Gié, Olivier Goebel, Barbara Hahnloser, Dieter Herbst, Friedrich Orestis, Ioannidis Joller, Sonja Kang, Soojin Martín, Rocio Mayr, Johannes Meier, Sonja Murugesan, Jothi Nally, Deirdre Ozcelik, Menekse Pace, Ugo Passeri, Michael Rabanser, Simone Ranter, Barbara Rega, Daniela Ridgway, Paul F Rosman, Camiel Schmid, Roger Schumacher, Philippe Solis-Pena, Alejandro Villarino, Laura Vrochides, Dionisios Engel, Alexander O’Grady, Greg Loveday, Benjamin Steiner, Luzius A Van Goor, Harry Bucher, Heiner C Clavien, Pierre-Alain Kirchhoff, Philipp Rosenthal, Rachel BMJ Research OBJECTIVE: To prospectively assess the construct and criterion validity of ClassIntra version 1.0, a newly developed classification for assessing intraoperative adverse events. DESIGN: International, multicentre cohort study. SETTING: 18 secondary and tertiary centres from 12 countries in Europe, Oceania, and North America. PARTICIPANTS: The cohort study included a representative sample of 2520 patients in hospital having any type of surgery, followed up until discharge. A follow-up to assess mortality at 30 days was performed in 2372 patients (94%). A survey was sent to a representative sample of 163 surgeons and anaesthetists from participating centres. MAIN OUTCOME MEASURES: Intraoperative complications were assessed according to ClassIntra. Postoperative complications were assessed daily until discharge from hospital with the Clavien-Dindo classification. The primary endpoint was construct validity by investigating the risk adjusted association between the most severe intraoperative and postoperative complications, measured in a multivariable hierarchical proportional odds model. For criterion validity, inter-rater reliability was evaluated in a survey of 10 fictitious case scenarios describing intraoperative complications. RESULTS: Of 2520 patients enrolled, 610 (24%) experienced at least one intraoperative adverse event and 838 (33%) at least one postoperative complication. Multivariable analysis showed a gradual increase in risk for a more severe postoperative complication with increasing grade of ClassIntra: ClassIntra grade I versus grade 0, odds ratio 0.99 (95% confidence interval 0.69 to 1.42); grade II versus grade 0, 1.39 (0.97 to 2.00); grade III versus grade 0, 2.62 (1.31 to 5.26); and grade IV versus grade 0, 3.81 (1.19 to 12.2). ClassIntra showed high criterion validity with an intraclass correlation coefficient of 0.76 (95% confidence interval 0.59 to 0.91) in the survey (response rate 83%). CONCLUSIONS: ClassIntra is the first prospectively validated classification for assessing intraoperative adverse events in a standardised way, linking them to postoperative complications with the well established Clavien-Dindo classification. ClassIntra can be incorporated into routine practice in perioperative surgical safety checklists, or used as a monitoring and outcome reporting tool for different surgical disciplines. Future studies should investigate whether the tool is useful to stratify patients to the appropriate postoperative care, to enhance the quality of surgical interventions, and to improve long term outcomes of surgical patients. TRIAL REGISTRATION: ClinicalTrials.gov NCT03009929. BMJ Publishing Group Ltd. 2020-08-25 /pmc/articles/PMC7500355/ /pubmed/32843333 http://dx.doi.org/10.1136/bmj.m2917 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Research
Dell-Kuster, Salome
Gomes, Nuno V
Gawria, Larsa
Aghlmandi, Soheila
Aduse-Poku, Maame
Bissett, Ian
Blanc, Catherine
Brandt, Christian
ten Broek, Richard B
Bruppacher, Heinz R
Clancy, Cillian
Delrio, Paolo
Espin, Eloy
Galanos-Demiris, Konstantinos
Gecim, I Ethem
Ghaffari, Shahbaz
Gié, Olivier
Goebel, Barbara
Hahnloser, Dieter
Herbst, Friedrich
Orestis, Ioannidis
Joller, Sonja
Kang, Soojin
Martín, Rocio
Mayr, Johannes
Meier, Sonja
Murugesan, Jothi
Nally, Deirdre
Ozcelik, Menekse
Pace, Ugo
Passeri, Michael
Rabanser, Simone
Ranter, Barbara
Rega, Daniela
Ridgway, Paul F
Rosman, Camiel
Schmid, Roger
Schumacher, Philippe
Solis-Pena, Alejandro
Villarino, Laura
Vrochides, Dionisios
Engel, Alexander
O’Grady, Greg
Loveday, Benjamin
Steiner, Luzius A
Van Goor, Harry
Bucher, Heiner C
Clavien, Pierre-Alain
Kirchhoff, Philipp
Rosenthal, Rachel
Prospective validation of classification of intraoperative adverse events (ClassIntra): international, multicentre cohort study
title Prospective validation of classification of intraoperative adverse events (ClassIntra): international, multicentre cohort study
title_full Prospective validation of classification of intraoperative adverse events (ClassIntra): international, multicentre cohort study
title_fullStr Prospective validation of classification of intraoperative adverse events (ClassIntra): international, multicentre cohort study
title_full_unstemmed Prospective validation of classification of intraoperative adverse events (ClassIntra): international, multicentre cohort study
title_short Prospective validation of classification of intraoperative adverse events (ClassIntra): international, multicentre cohort study
title_sort prospective validation of classification of intraoperative adverse events (classintra): international, multicentre cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500355/
https://www.ncbi.nlm.nih.gov/pubmed/32843333
http://dx.doi.org/10.1136/bmj.m2917
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