Related Experiment Video
Updated: Feb 4, 2026

Standardized Technique of Aortic Valve Re-implantation for Valve-sparing Aortic Root Replacement
Published on: December 11, 2017
Impact of Prosthesis-Patient Mismatch on Survival after Mitral Valve Replacement: A Meta-analysis
Ho-Young Hwang1, Suk-Ho Sohn1, Myoung-Jin Jang1
1Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Republic of Korea.
Background:
Numerous studies have demonstrated a negative impact of prosthesis-patient mismatch (PPM) on long-term clinical outcomes after aortic valve replacement. However, the impact of PPM after mitral valve replacement (MVR) on clinical outcomes is still controversial. This study was conducted to evaluate the impact of PPM on early and long-term survival after MVR.
Methods:
A literature search of five databases was performed. The primary and secondary outcomes were all-cause mortality and early mortality, respectively. Subgroup analyses were performed according to the risk of bias, patients' age, proportion of female patients, and proportion of patients with mechanical MVR.
Results:
Eleven nonrandomized studies including 8,072 patients were included in this meta-analysis. The overall incidence of PPM was 58.0% (range: 10.4-85.9%). The odds ratio of early mortality in nine studies was not significantly different between the PPM and non-PPM patients (odds ratio: 1.35; 95% confidence interval [CI]: 0.98-1.86). A pooled analysis in 11 studies demonstrated that all-cause mortality after MVR was higher in the PPM than non-PPM patients (hazard ratio [HR]: 1.39; 95% CI: 1.09-1.77). This analysis revealed a moderate to high heterogeneity (I 2 = 69.4%). When pooled analyses were performed in two subgroups according to the proportion of patients with mechanical MVR, there were low heterogeneity in each group. No other subgroup analyses demonstrated a significant difference in the HR of all-cause mortality. Funnel plots and Egger's tests showed no visually and statistically significant publication bias.
Conclusion:
The present meta-analysis indicates that PPM negatively affects long-term survival after MVR.
Insights
Prosthesis-patient mismatch (PPM) after mitral valve replacement (MVR) is linked to worse long-term survival. This meta-analysis confirms PPM negatively impacts patient outcomes following MVR surgery.
Area of Science:
- Cardiology
- Cardiac Surgery
- Medical Statistics
Background:
- Prosthesis-patient mismatch (PPM) negatively impacts outcomes after aortic valve replacement.
- The effect of PPM on outcomes after mitral valve replacement (MVR) remains controversial.
- This study evaluates PPM's impact on MVR patient survival.
Purpose of the Study:
- To assess the association between PPM and early and long-term mortality after MVR.
- To synthesize evidence from existing studies on PPM and MVR outcomes.
Main Methods:
- A meta-analysis of eleven nonrandomized studies involving 8,072 patients.
- Literature search across five databases.
- Primary outcome: all-cause mortality; Secondary outcome: early mortality.
- Subgroup analyses based on risk of bias, patient demographics, and prosthesis type.
Main Results:
- Overall PPM incidence was 58.0%.
- No significant difference in early mortality between PPM and non-PPM groups (OR: 1.35; 95% CI: 0.98-1.86).
- All-cause mortality was significantly higher in PPM patients post-MVR (HR: 1.39; 95% CI: 1.09-1.77) with moderate to high heterogeneity.
- Subgroup analysis by mechanical MVR proportion showed low heterogeneity; no other subgroup analyses revealed significant differences.
Conclusions:
- PPM is associated with increased all-cause mortality after MVR.
- The findings suggest PPM negatively affects long-term survival in MVR patients.
More Related Videos
Related Concept Videos
Mitral Valve Prolapse I: Introduction
Mismatch Repair
Mitral Valve Prolapse II: Assessment and Management
Mitral Valve Prolapse III: Nursing Management
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...
Comparing the Survival Analysis of Two or More Groups

