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Patient Risk Factors for Bioprosthetic Aortic Valve Degeneration: A Systematic Review and Meta-Analysis

The choice of valve type for aortic valve replacement surgery is sometimes challenging. The main risk for bioprostheses is structural valve degeneration (SVD); however, little is known about what the most important risk factors are. We conducted a systematic review and meta-analysis to identify the...

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Published in:Heart, lung & circulation lung & circulation, 2020-05, Vol.29 (5), p.668-678
Main Authors: Ochi, Ayame, Cheng, Kevin, Zhao, Bing, Hardikar, Ashutosh A., Negishi, Kazuaki
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Language:English
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creator Ochi, Ayame
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description The choice of valve type for aortic valve replacement surgery is sometimes challenging. The main risk for bioprostheses is structural valve degeneration (SVD); however, little is known about what the most important risk factors are. We conducted a systematic review and meta-analysis to identify the risk factors and estimate their pooled effect sizes to aid the prosthesis choice for replacement. We followed PRISMA guidelines and systematically searched three electronic databases (PubMed, Scopus, and Web of Science) using appropriate key terms: ‘aortic valve’, ‘bioprosthesis’, ‘degeneration’, ‘durability’, ‘prosthesis failure’, etc. Hazard ratio (HR) and odds ratio (OR) and associated 95% confidence intervals (CI) were extracted. Pooled risk estimates were calculated using a random-effects model. Twenty-nine (29) observational studies were included with a total of 25,490 patients, 981 of whom developed SVD over a mean follow-up time of 18.5 years. Four (4) factors influencing bioprosthetic SVD were identified: increasing age was a protective factor (per 1-yr increase, HR: 0.91 [95% CI 0.89, 0.94], p
doi_str_mv 10.1016/j.hlc.2019.09.013
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The main risk for bioprostheses is structural valve degeneration (SVD); however, little is known about what the most important risk factors are. We conducted a systematic review and meta-analysis to identify the risk factors and estimate their pooled effect sizes to aid the prosthesis choice for replacement. We followed PRISMA guidelines and systematically searched three electronic databases (PubMed, Scopus, and Web of Science) using appropriate key terms: ‘aortic valve’, ‘bioprosthesis’, ‘degeneration’, ‘durability’, ‘prosthesis failure’, etc. Hazard ratio (HR) and odds ratio (OR) and associated 95% confidence intervals (CI) were extracted. Pooled risk estimates were calculated using a random-effects model. Twenty-nine (29) observational studies were included with a total of 25,490 patients, 981 of whom developed SVD over a mean follow-up time of 18.5 years. Four (4) factors influencing bioprosthetic SVD were identified: increasing age was a protective factor (per 1-yr increase, HR: 0.91 [95% CI 0.89, 0.94], p&lt;0.0001), whereas increased body surface area (HR 1.77 [1.04, 3.01], p=0.034), patient−prosthesis mismatch (HR 1.95 [1.56, 2.43], p&lt;0.001), and smoking (HR 2.28 [1.37, 3.79], p=0.0015) were risk factors for SVD. We found younger age, patient−prosthesis mismatch, body surface area, and smoking, as risk factors for aortic SVD, which should be considered for valve selection. 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subjects Aortic valve
Aortic Valve - surgery
Bioprosthesis - adverse effects
Heart Valve Diseases - surgery
Heart Valve Prosthesis - adverse effects
Heart Valve Prosthesis Implantation - adverse effects
Humans
Meta-analysis
Postoperative Complications
Prosthesis Design
Prosthesis Failure
Risk Factors
Structural valve degeneration
title Patient Risk Factors for Bioprosthetic Aortic Valve Degeneration: A Systematic Review and Meta-Analysis
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