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Prosthesis-patient mismatch negatively affects outcomes after mitral valve replacement : meta-analysis of 10,239 patients

Authors :
Barros Oliveira Sá, Michel Pompeu
Cavalcanti, Luiz Rafael Pereira
Rayol, Sérgio da Costa
Gouvea Silva Diniz, Roberto
Motta Menezes, Alexandre
Clavel, Marie-Annick
Pibarot, Philippe
Lima, Ricardo Carvalho
Barros Oliveira Sá, Michel Pompeu
Cavalcanti, Luiz Rafael Pereira
Rayol, Sérgio da Costa
Gouvea Silva Diniz, Roberto
Motta Menezes, Alexandre
Clavel, Marie-Annick
Pibarot, Philippe
Lima, Ricardo Carvalho
Publication Year :
2019

Abstract

Objective: This study sought to evaluate the impact of prosthesis-patient mismatch on the risk of perioperative and long- term mortality after mitral valve replacement. Methods: Databases were researched for studies published until December 2018. Main outcomes of interest were perioperative and 10-year mortality and echocardiographic parameters. Results: The research yielded 2,985 studies for inclusion. Of these, 16 articles were analyzed, and their data extracted. The total number of patients included was 10,239, who underwent mitral valve replacement. The incidence of prosthesis-patient mismatch after mitral valve replacement was 53.7% (5,499 with prosthesis- patient mismatch and 4,740 without prosthesis-patient mismatch). Perioperative (OR 1.519; 95%CI 1.194–1.931, P<0.001) and 10-year (OR 1.515; 95%CI 1.280–1.795, P<0.001) mortality was increased in patients with prosthesis-patient mismatch. Patients with prosthesis-patient mismatch after mitral valve replacement had higher systolic pulmonary artery pressure and transprosthethic gradient and lower indexed effective orifice area and left ventricle ejection fraction. Conclusion: Prosthesis-patient mismatch increases perioperative and long-term mortality. Prosthesis-patient mismatch is also associated with pulmonary hypertension and depressed left ventricle systolic function. The findings of this study support the implementation of surgical strategies to prevent prosthesis- patient mismatch in order to decrease mortality rates.

Details

Database :
OAIster
Notes :
application/vnd.openxmlformats-officedocument.wordprocessingml.document, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1263620053
Document Type :
Electronic Resource