Cargando…

Safe implementation of robotic-assisted minimally invasive direct coronary artery bypass: application of learning curves and cumulative sum analysis

BACKGROUND: Learning curves are inevitably encountered when first implementing an innovative and complex surgical technique. Nevertheless, a cluster of failures or complications should be detected early, but not deter learning, to ensure safe implementation. Here, we aimed to examine the presence an...

Descripción completa

Detalles Bibliográficos
Autores principales: Van den Eynde, Jef, Vaesen Bentein, Hannah, Decaluwé, Tom, De Praetere, Herbert, Wertan, MaryAnn C., Sutter, Francis P., Balkhy, Husam H., Oosterlinck, Wouter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339757/
https://www.ncbi.nlm.nih.gov/pubmed/34422354
http://dx.doi.org/10.21037/jtd-21-775
_version_ 1783733658346061824
author Van den Eynde, Jef
Vaesen Bentein, Hannah
Decaluwé, Tom
De Praetere, Herbert
Wertan, MaryAnn C.
Sutter, Francis P.
Balkhy, Husam H.
Oosterlinck, Wouter
author_facet Van den Eynde, Jef
Vaesen Bentein, Hannah
Decaluwé, Tom
De Praetere, Herbert
Wertan, MaryAnn C.
Sutter, Francis P.
Balkhy, Husam H.
Oosterlinck, Wouter
author_sort Van den Eynde, Jef
collection PubMed
description BACKGROUND: Learning curves are inevitably encountered when first implementing an innovative and complex surgical technique. Nevertheless, a cluster of failures or complications should be detected early, but not deter learning, to ensure safe implementation. Here, we aimed to examine the presence and impact of learning curves on outcome after robotic-assisted minimally invasive direct coronary artery bypass (RA-MIDCAB). METHODS: A retrospective analysis of the first 300 RA-MIDCAB surgeries between July 2015 and December 2020 was performed. Learning curves were obtained via logarithmic regression for surgical time. Cumulative sum (CUSUM) analysis was performed for (I) major complications including MI, stroke, repeat revascularization, and mortality, and (II) other complications, including prolonged ventilation, pneumonia, pleura puncture, lung herniation, pericarditis, pleuritis, arrhythmia, wound complications, and delirium. Expected and unacceptable rates were set at 12% and 20%, respectively, for major complications, and at 40% and 60% for other complications, based on historical data in conventional coronary artery bypass grafting (CABG). RESULTS: Demographic characteristics did not differ between terciles, except for more smokers in the first tercile, and less hypercholesterolemia and more complex procedures in the third tercile. The mean surgical time for all operations was 258±81 minutes, ranging from 127 to 821 minutes. A learning curve was only observed in the first tercile. Subgroup analysis revealed that this learning curve was only observed for procedures consisting of single internal mammary artery (SIMA) with 1 or 2 distal anastomoses but not with bilateral internal mammary arteries (BIMA) or more than 2 distal anastomoses. CUSUM analysis showed that the cumulative rate of major and other complications never crossed the lines for unacceptable rates. Rather, the lower 95% confidence boundary was crossed after 50 cases, indicating improvement in safety. CONCLUSIONS: These results suggest that integration of RA-MIDCAB in the surgical landscape can be safely achieved and complication rates can quickly be reduced below those expected in traditional CABG. Collective experience plays a key role in overcoming the learning curve when more complex procedures and cases are introduced.
format Online
Article
Text
id pubmed-8339757
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher AME Publishing Company
record_format MEDLINE/PubMed
spelling pubmed-83397572021-08-20 Safe implementation of robotic-assisted minimally invasive direct coronary artery bypass: application of learning curves and cumulative sum analysis Van den Eynde, Jef Vaesen Bentein, Hannah Decaluwé, Tom De Praetere, Herbert Wertan, MaryAnn C. Sutter, Francis P. Balkhy, Husam H. Oosterlinck, Wouter J Thorac Dis Original Article BACKGROUND: Learning curves are inevitably encountered when first implementing an innovative and complex surgical technique. Nevertheless, a cluster of failures or complications should be detected early, but not deter learning, to ensure safe implementation. Here, we aimed to examine the presence and impact of learning curves on outcome after robotic-assisted minimally invasive direct coronary artery bypass (RA-MIDCAB). METHODS: A retrospective analysis of the first 300 RA-MIDCAB surgeries between July 2015 and December 2020 was performed. Learning curves were obtained via logarithmic regression for surgical time. Cumulative sum (CUSUM) analysis was performed for (I) major complications including MI, stroke, repeat revascularization, and mortality, and (II) other complications, including prolonged ventilation, pneumonia, pleura puncture, lung herniation, pericarditis, pleuritis, arrhythmia, wound complications, and delirium. Expected and unacceptable rates were set at 12% and 20%, respectively, for major complications, and at 40% and 60% for other complications, based on historical data in conventional coronary artery bypass grafting (CABG). RESULTS: Demographic characteristics did not differ between terciles, except for more smokers in the first tercile, and less hypercholesterolemia and more complex procedures in the third tercile. The mean surgical time for all operations was 258±81 minutes, ranging from 127 to 821 minutes. A learning curve was only observed in the first tercile. Subgroup analysis revealed that this learning curve was only observed for procedures consisting of single internal mammary artery (SIMA) with 1 or 2 distal anastomoses but not with bilateral internal mammary arteries (BIMA) or more than 2 distal anastomoses. CUSUM analysis showed that the cumulative rate of major and other complications never crossed the lines for unacceptable rates. Rather, the lower 95% confidence boundary was crossed after 50 cases, indicating improvement in safety. CONCLUSIONS: These results suggest that integration of RA-MIDCAB in the surgical landscape can be safely achieved and complication rates can quickly be reduced below those expected in traditional CABG. Collective experience plays a key role in overcoming the learning curve when more complex procedures and cases are introduced. AME Publishing Company 2021-07 /pmc/articles/PMC8339757/ /pubmed/34422354 http://dx.doi.org/10.21037/jtd-21-775 Text en 2021 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Van den Eynde, Jef
Vaesen Bentein, Hannah
Decaluwé, Tom
De Praetere, Herbert
Wertan, MaryAnn C.
Sutter, Francis P.
Balkhy, Husam H.
Oosterlinck, Wouter
Safe implementation of robotic-assisted minimally invasive direct coronary artery bypass: application of learning curves and cumulative sum analysis
title Safe implementation of robotic-assisted minimally invasive direct coronary artery bypass: application of learning curves and cumulative sum analysis
title_full Safe implementation of robotic-assisted minimally invasive direct coronary artery bypass: application of learning curves and cumulative sum analysis
title_fullStr Safe implementation of robotic-assisted minimally invasive direct coronary artery bypass: application of learning curves and cumulative sum analysis
title_full_unstemmed Safe implementation of robotic-assisted minimally invasive direct coronary artery bypass: application of learning curves and cumulative sum analysis
title_short Safe implementation of robotic-assisted minimally invasive direct coronary artery bypass: application of learning curves and cumulative sum analysis
title_sort safe implementation of robotic-assisted minimally invasive direct coronary artery bypass: application of learning curves and cumulative sum analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339757/
https://www.ncbi.nlm.nih.gov/pubmed/34422354
http://dx.doi.org/10.21037/jtd-21-775
work_keys_str_mv AT vandeneyndejef safeimplementationofroboticassistedminimallyinvasivedirectcoronaryarterybypassapplicationoflearningcurvesandcumulativesumanalysis
AT vaesenbenteinhannah safeimplementationofroboticassistedminimallyinvasivedirectcoronaryarterybypassapplicationoflearningcurvesandcumulativesumanalysis
AT decaluwetom safeimplementationofroboticassistedminimallyinvasivedirectcoronaryarterybypassapplicationoflearningcurvesandcumulativesumanalysis
AT depraetereherbert safeimplementationofroboticassistedminimallyinvasivedirectcoronaryarterybypassapplicationoflearningcurvesandcumulativesumanalysis
AT wertanmaryannc safeimplementationofroboticassistedminimallyinvasivedirectcoronaryarterybypassapplicationoflearningcurvesandcumulativesumanalysis
AT sutterfrancisp safeimplementationofroboticassistedminimallyinvasivedirectcoronaryarterybypassapplicationoflearningcurvesandcumulativesumanalysis
AT balkhyhusamh safeimplementationofroboticassistedminimallyinvasivedirectcoronaryarterybypassapplicationoflearningcurvesandcumulativesumanalysis
AT oosterlinckwouter safeimplementationofroboticassistedminimallyinvasivedirectcoronaryarterybypassapplicationoflearningcurvesandcumulativesumanalysis