Machine learning analysis of factors influencing ischemic stroke after coronary artery bypass grafting. (25th November 2020)
- Record Type:
- Journal Article
- Title:
- Machine learning analysis of factors influencing ischemic stroke after coronary artery bypass grafting. (25th November 2020)
- Main Title:
- Machine learning analysis of factors influencing ischemic stroke after coronary artery bypass grafting
- Authors:
- Gelsomino, S
Bonacchi, M
Del Pace, S
Caciolli, S
Parise, O
Prifti, E.P
La Meir, M
Maessen, J.G - Abstract:
- Abstract: Aims: Ischemic Stroke (IS) is a devastating complication of coronary bypass (CABG) surgery, significantly increasing mortality, morbidity, cost, and the need for long-term care, and reducing the quality of life. With the aim of a learning-machine method, we investigated factors influencing the occurrence of IS after CABG. Methods and results: We employed a statistical learning method – random forests – to examine which of various variables had the greatest impact on postoperative IS. A dataset including 16, 255 consecutive patients undergoing isolated CABG between 1997 and 2017 In one Institution was examined. Along with demographic and clinical variables technical-related factors were included, encompassing surgical technique, number of touches on the aorta, cardiopulmonary bypass, total aortic clamping, use of the side-biting clamp, or number of proximal anastomoses. A ranking score based on the average percent increase in mean squared error and obtained for all variables was employed to quantify the importance of any variable in predicting IS. A total of 641 strokes occurred (3.9%). Total aortic clamp showed the highest incidence of stroke (n=570, 88.95% of total). Total aortic clamp had the highest score among all variables followed by previous stroke and carotid artery disease >50%. In contrast, other variables related to surgical technique showed low ranking scores in predicting IS. In patients undergoing CABG with the use of total aortic, a previous brainAbstract: Aims: Ischemic Stroke (IS) is a devastating complication of coronary bypass (CABG) surgery, significantly increasing mortality, morbidity, cost, and the need for long-term care, and reducing the quality of life. With the aim of a learning-machine method, we investigated factors influencing the occurrence of IS after CABG. Methods and results: We employed a statistical learning method – random forests – to examine which of various variables had the greatest impact on postoperative IS. A dataset including 16, 255 consecutive patients undergoing isolated CABG between 1997 and 2017 In one Institution was examined. Along with demographic and clinical variables technical-related factors were included, encompassing surgical technique, number of touches on the aorta, cardiopulmonary bypass, total aortic clamping, use of the side-biting clamp, or number of proximal anastomoses. A ranking score based on the average percent increase in mean squared error and obtained for all variables was employed to quantify the importance of any variable in predicting IS. A total of 641 strokes occurred (3.9%). Total aortic clamp showed the highest incidence of stroke (n=570, 88.95% of total). Total aortic clamp had the highest score among all variables followed by previous stroke and carotid artery disease >50%. In contrast, other variables related to surgical technique showed low ranking scores in predicting IS. In patients undergoing CABG with the use of total aortic, a previous brain ischemic insult as well as age >75 years increase the risk of IS (fIGURE) Conclusions: The use of total aortic clamp is the strongest predictor of stroke. A clamp-less technique is recommended whenever possible especially in older patients and those who experienced preoperative stroke or who had significant carotid stenosis. Funding Acknowledgement: Type of funding source: None … (more)
- Is Part Of:
- European heart journal. Volume 41:(2020)Supplement 2
- Journal:
- European heart journal
- Issue:
- Volume 41:(2020)Supplement 2
- Issue Display:
- Volume 41, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 41
- Issue:
- 2
- Issue Sort Value:
- 2020-0041-0002-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-11-25
- Subjects:
- Coronary Artery Disease: Treatment, Revascularization
Cardiology -- Periodicals
Heart -- Diseases -- Periodicals
616.12005 - Journal URLs:
- http://eurheartj.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/ehjci/ehaa946.1478 ↗
- Languages:
- English
- ISSNs:
- 0195-668X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3829.717500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26724.xml