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Estimation Model for Hypothermic Circulatory Arrest Time to Predict Risk in Total Arch Replacement
Hiroshi Sato1, Nobuyoshi Kawaharada1, Joji Fukada2
1Department of Cardiovascular Surgery, Sapporo Medical University School of Medicine, Sapporo, Japan.
The Annals of Thoracic Surgery
|February 5, 2021
Summary
A new model estimates hypothermic circulatory arrest time in total arch replacement surgery. Predicted times identified key risk factors for adverse outcomes, suggesting the model
Area of Science:
- Cardiovascular Surgery
- Medical Modeling
- Risk Factor Analysis
Background:
- Total arch replacement is a complex procedure.
- Hypothermic circulatory arrest (HCA) is a critical component.
- Predicting HCA time and associated risks is essential for patient outcomes.
Purpose of the Study:
- To develop an estimation model for HCA time in total arch replacement.
- To identify risk factors for major adverse outcomes using predicted HCA time.
Main Methods:
- Developed a predictive model for HCA time using multiple linear regression in 272 patients.
- Analyzed predicted HCA time against actual outcomes using multivariate logistic analysis.
Main Results:
- Identified atrial fibrillation, rupture, malperfusion, saccular aneurysm, cardiopulmonary bypass time, and HCA time as independent risk factors.
- The developed model accurately predicted HCA time, and predicted HCA time was associated with adverse outcomes.
Conclusions:
- The developed HCA time estimation model effectively identified significant risk factors for major adverse outcomes.
- This predictive model shows potential for improving patient management in total arch replacement.

