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Updated: Jul 13, 2026

Standardized Technique of Aortic Valve Re-implantation for Valve-sparing Aortic Root Replacement
Published on: December 11, 2017
Predictors of mortality after aortic valve replacement.
Yanto Sandy Tjang1, Yvonne van Hees, Reiner Körfer
1Julius Center of Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands. ystjang@hotmail.com
Predictors for mortality after aortic valve replacement (AVR) are identified. Older age, emergency surgery, and atrial fibrillation increase mortality risk, aiding pre-surgical risk stratification for better patient outcomes.
Area of Science:
- Cardiology
- Cardiac Surgery
- Medical Prognostics
Background:
- Aortic valve replacement (AVR) is a standard treatment for aortic valve disease.
- Evidence for commonly claimed predictors of post-AVR prognosis, especially mortality, is limited.
- Accurate pre-surgical risk stratification is crucial for patient management.
Purpose of the Study:
- To systematically review and report the evidence for predictors of post-AVR mortality.
- To identify factors influencing early and late mortality after AVR.
- To aid in pre-surgical risk stratification for patients undergoing AVR.
Main Methods:
- Systematic review of original reports of post-AVR follow-up studies.
- Searched PubMed database for relevant literature.
- Assessed study quality using a standardized checklist and extracted predictor data.
Main Results:
- Strong evidence links emergency surgery to increased early mortality.
- Older age and preoperative atrial fibrillation are linked to increased late mortality.
- Moderate evidence identifies numerous factors increasing early and late mortality risk, including age, comorbidities, and procedural details.
Conclusions:
- Established evidence identifies key predictors for post-AVR mortality.
- Findings support improved pre-surgical risk stratification for AVR patients.
- Future research should focus on developing predictive models for AVR survival.
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