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Appraisal of Intraoperative Adverse Events to Improve Postoperative Care
Background: Intraoperative adverse events (iAEs) are associated with adverse postoperative outcomes and cause a significant healthcare burden. However, a critical appraisal of iAEs is lacking. Considering the details of iAEs could benefit postoperative care. We comprehensively analyzed iAEs in a lar...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095268/ https://www.ncbi.nlm.nih.gov/pubmed/37048631 http://dx.doi.org/10.3390/jcm12072546 |
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author | Gawria, Larsa Jaber, Ahmed Ten Broek, Richard Peter Gerardus Bernasconi, Gianmaria Rosenthal, Rachel Van Goor, Harry Dell-Kuster, Salome |
author_facet | Gawria, Larsa Jaber, Ahmed Ten Broek, Richard Peter Gerardus Bernasconi, Gianmaria Rosenthal, Rachel Van Goor, Harry Dell-Kuster, Salome |
author_sort | Gawria, Larsa |
collection | PubMed |
description | Background: Intraoperative adverse events (iAEs) are associated with adverse postoperative outcomes and cause a significant healthcare burden. However, a critical appraisal of iAEs is lacking. Considering the details of iAEs could benefit postoperative care. We comprehensively analyzed iAEs in a large series including all types of operations and their relation to postoperative complications. Methods: All patients enrolled in the multicenter ClassIntra(®) validation study (NCT03009929) were included in this analysis. The surgical and anesthesia team prospectively recorded all iAEs. Two researchers, blinded to each other’s ratings, appraised all recorded iAEs according to their origin into four categories: surgery, anesthesia, organization, or other, including subcategories such as organ injury, arrhythmia, or instrument failure. They further descriptively analyzed subcategories of all iAEs. Postoperative complications were assessed using the Comprehensive Complication Index (CCI(®)), a weighted sum of all postoperative complications according to the Clavien–Dindo classification. The association of iAE origins in addition to the severity grade of ClassIntra(®) on CCI(®) was assessed with a multivariable mixed-effects generalized linear regression analysis. Results: Of 2520 included patients, 778 iAEs were recorded in 610 patients. The origin was surgical in 420 (54%), anesthesia in 283 (36%), organizational in 34 (4%), and other in 41 (5%) events. Bleeding (n = 217, 28%), hypotension (n = 118, 15%), and organ injury (n = 98, 13%) were the three most frequent subcategories in surgery and anesthesia, respectively. In the multivariable mixed-effect analysis, no significant association between the origin and CCI(®) was observed. Conclusion: Analyzing the type and origin of an iAE offers individualized and contextualized information. This detailed descriptive information can be used for targeted surveillance of intra- and postoperative care, even though the overall predictive value for postoperative events was not improved by adding the origin in addition to the severity grade. |
format | Online Article Text |
id | pubmed-10095268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100952682023-04-13 Appraisal of Intraoperative Adverse Events to Improve Postoperative Care Gawria, Larsa Jaber, Ahmed Ten Broek, Richard Peter Gerardus Bernasconi, Gianmaria Rosenthal, Rachel Van Goor, Harry Dell-Kuster, Salome J Clin Med Article Background: Intraoperative adverse events (iAEs) are associated with adverse postoperative outcomes and cause a significant healthcare burden. However, a critical appraisal of iAEs is lacking. Considering the details of iAEs could benefit postoperative care. We comprehensively analyzed iAEs in a large series including all types of operations and their relation to postoperative complications. Methods: All patients enrolled in the multicenter ClassIntra(®) validation study (NCT03009929) were included in this analysis. The surgical and anesthesia team prospectively recorded all iAEs. Two researchers, blinded to each other’s ratings, appraised all recorded iAEs according to their origin into four categories: surgery, anesthesia, organization, or other, including subcategories such as organ injury, arrhythmia, or instrument failure. They further descriptively analyzed subcategories of all iAEs. Postoperative complications were assessed using the Comprehensive Complication Index (CCI(®)), a weighted sum of all postoperative complications according to the Clavien–Dindo classification. The association of iAE origins in addition to the severity grade of ClassIntra(®) on CCI(®) was assessed with a multivariable mixed-effects generalized linear regression analysis. Results: Of 2520 included patients, 778 iAEs were recorded in 610 patients. The origin was surgical in 420 (54%), anesthesia in 283 (36%), organizational in 34 (4%), and other in 41 (5%) events. Bleeding (n = 217, 28%), hypotension (n = 118, 15%), and organ injury (n = 98, 13%) were the three most frequent subcategories in surgery and anesthesia, respectively. In the multivariable mixed-effect analysis, no significant association between the origin and CCI(®) was observed. Conclusion: Analyzing the type and origin of an iAE offers individualized and contextualized information. This detailed descriptive information can be used for targeted surveillance of intra- and postoperative care, even though the overall predictive value for postoperative events was not improved by adding the origin in addition to the severity grade. MDPI 2023-03-28 /pmc/articles/PMC10095268/ /pubmed/37048631 http://dx.doi.org/10.3390/jcm12072546 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gawria, Larsa Jaber, Ahmed Ten Broek, Richard Peter Gerardus Bernasconi, Gianmaria Rosenthal, Rachel Van Goor, Harry Dell-Kuster, Salome Appraisal of Intraoperative Adverse Events to Improve Postoperative Care |
title | Appraisal of Intraoperative Adverse Events to Improve Postoperative Care |
title_full | Appraisal of Intraoperative Adverse Events to Improve Postoperative Care |
title_fullStr | Appraisal of Intraoperative Adverse Events to Improve Postoperative Care |
title_full_unstemmed | Appraisal of Intraoperative Adverse Events to Improve Postoperative Care |
title_short | Appraisal of Intraoperative Adverse Events to Improve Postoperative Care |
title_sort | appraisal of intraoperative adverse events to improve postoperative care |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095268/ https://www.ncbi.nlm.nih.gov/pubmed/37048631 http://dx.doi.org/10.3390/jcm12072546 |
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