P019. A Preliminary Prediction Model Using a Deep Learning Software Program for Postoperative Cerebrospinal Fluid Drainage after Thoracic and Thoracoabdominal Aortic Surgery

Tomohiro Nakajima Poster Presenter
Department of Cardiovascular Surgery, Sapporo Medical University
Sapporo, Hokkaido 
Japan
 - Contact Me

Medical Education:                

                         Tokushima University Medical School, Faculty of Medicine, Tokushima,  

                          Japan (1998-2004)

                          The date of graduation: 25th March 2004

Postgraduate school

                        Sapporo Medical University, Sapporo, Japan (2010-2015)

                        Doctor of Philosophy No.2816

                        “Histomorphologic superiority of internal thoracic arteries over right 

                         gastroepiploic arteries for coronary bypass”

                         J Thorac Cardiovasc Surg. 2016 Jun;151(6):1704-8.

Medical License:      

                        Physician, license number 444323, Japan, 2004- all my life

 

 

                          

Board:            Medical specialist of Japanese Society for Cardiovascular Surgery

                        License number 5000729, Japan,2013-2022

                        Medical specialist of Japanese college of angiology

                        License number 01001, Japan,2014-2018

                        Medical specialist of Japanese Society for Surgery

                        License number 100329, Japan,2013-2017

                        Endovascular repair specialist of Japanese Society for Vascular

Thursday, April 25, 2024: 5:38 PM - 7:00 PM
Sheraton Times Square 
Room: Central Park 

Description

Objectives: Various prevention and treatment options exist to prevent paraplegia during thoracic aortic surgery. Postoperative cerebrospinal fluid drainage (CSFD) is one treatment option when paraplegia occurs. To evaluate the neurological efficacy of postoperative cerebrospinal fluid drainage (CSFD) in patients undergoing thoracic and thoracoabdominal aortic surgery. In addition, we will use Machine Learning to analyze how many hours postoperatively inserted CSFD is effective.

Methods: This retrospective study included 85 patients who underwent perioperative CSFD in thoracic and thoracoabdominal aortic surgery from January 1, 2006 to December 12, 2022.A total of 61 patients (72%) underwent preoperative CSFD and 24 (28%) postoperative CSFD. Perioperative neurological data were analyzed with a focus on perioperative changes. Machine learning by Prediction One (Sony Network Communications Inc., Tokyo, Japan) was also used to analyze the effect of CSFD placement by how many hours postoperatively.

Results: In the postoperative CSFD group, the manual muscle testing (MMT) score before CSFD was 0.8,2.4 immediately after CSFD, and 3.0 at discharge. Thus, postoperative CSFD was associated with improved MMT scores. Scores improved compared to preoperative scores. Once surgery was completed, the postoperative CSFD was conducted after mean 9.8 hours. Machine learning analysis showed that postoperative CSFD was more effective in patients who had a tendency to improving paraplegia at 2 to 3 hours after surgery and who had a CSFD implanted. The area under curve and the accuracy of the model in the validation data were 0.956 and 96%, respectively. Six of the patients (25%) who underwent early postoperative CSFD remained paralyzed without improvement.

Conclusions: Machine learning analysis showed that patients with postoperative paraplegia after thoracic and thoracoabdominal aortic aneurysm surgery could avoid postoperative paraplegia if the CSFD could be implanted by 3 hours after surgery. Based on these results, we recommend early awakening to improve postoperative paraplegia and placement of a CSFD within 3 hours in patients who need it.

Authors
Tomohiro Nakajima (1), Tsuyoshi Shibata (1), Kei Mukawa (1), Keitaro Nakanishi (1), Takakimi Mizuno (1), Ayaka Arihara (1), Shuhei Miura (1), JUNJI NAKAZAWA (1), Yutaka Iba (1), Nobuyoshi Kawaharada (1)
Institutions
(1) Sapporo Medical University CardioVascular Sugery, Sapporo, Hokkaido,Japan

Presentation Duration

PODS will be on display in the exhibit hall for the duration of the meeting during exhibit hall hours. PODS will also be available for viewing on the meeting website. There is no formal presentation associated with your POD, but we encourage you to visit the PODS area during breaks to connect with those viewing. 

View Submission