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Development and Validation of a Prediction Model for Postoperative Ischemic Stroke Following Total Arch Replacement and Frozen Elephant Trunk Under Mild Hypothermia by Chao Deng; Hao Tang; Jingyu Li; Zhenxiong Li; Kangjun Shen; Zhiwei Zhang; Bo Jiang; Ling Tan is a Medicine article available to read on EtoBox.
What is Development and Validation of a Prediction Model for Postoperative Ischemic Stroke Following Total Arch Replacement and Frozen Elephant Trunk Under Mild Hypothermia about?
## Background Early identification of postoperative ischemic stroke among patients with acute DeBakey type I aortic dissection (ADIAD) is of great significance to taking timely effective treatment. We aimed to develop and validate a prediction model for postoperative ischemic stroke in ADIAD patients who underwent total arch replacement (TAR) and frozen elephant trunk (FET) under mild hypothermia. ## Methods ADIAD patients who underwent TAR and FET between January 2017 and April 2023 were enrolled in our study. Preoperative and intraoperative variables were selected using pairwise comparisons, the Least Absolute Shrinkage and Selection Operator (LASSO), and logistic regression to construct a prediction model for postoperative ischemic stroke. The accuracy and calibration of the model were assessed using 1000 bootstrap resamples for internal validation, with the area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow test. The AUC was also used to evaluate the model's accuracy in the validation cohort. ## Results The development cohort included 246 patients. The mean [standard deviation (SD)] age of patients in the cohort was 50.7 (11.2) years, 196 (79.7
Who reads Development and Validation of a Prediction Model for Postoperative Ischemic Stroke Following Total Arch Replacement and Frozen Elephant Trunk Under Mild Hypothermia?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Chao Deng; Hao Tang; Jingyu Li; Zhenxiong Li; Kangjun Shen; Zhiwei Zhang; Bo Jiang; Ling Tan
- Publisher
- Elsevier
- Published
- 2024
- Language
- EN
- Field
- Medicine (Physical Sciences)