Late results of percutaneous mitral commissurotomy in a series of 1024 patients - Analysis of late clinical deterioration: Frequency, anatomic findings, and predictive factors
B. Iung et al., Late results of percutaneous mitral commissurotomy in a series of 1024 patients - Analysis of late clinical deterioration: Frequency, anatomic findings, and predictive factors, CIRCULATION, 99(25), 1999, pp. 3272-3278
Citations number
31
Categorie Soggetti
Cardiovascular & Respiratory Systems","Cardiovascular & Hematology Research
Background-The optimal use of percutaneous mitral commissurotomy (PMC) in a
wide range of patients requires accurate evaluation of late results and id
entification of their predictors.
Methods and Results-Late results of PMC were assessed in 1024 patients whos
e mean age was 49+/-14 years. Echocardiography showed that 141 patients (14
%) had pliable valves and mild subvalvular disease, 569 (55%) had extensive
subvalvular disease, and 314 (31%) had calcified valves. A single balloon
was used in 26 patients, a double balloon in 390, and the Inoue Balloon in
608, Good immediate results were defined as valve area greater than or equa
l to 1.5 cm? without regurgitation >2/4 (Sellers' grade) and were obtained
in 912 patients. Median duration of follow-up was 49 months. The 10-year ac
tuarial rate of good functional results (survival with no cardiovascular de
ath and no need for surgery or repeat dilatation and in New York Heart Asso
ciation [NYHA] class I or II) was 56+/-4% in the entire population. Follow-
up echocardiography was available in 90% of the patients who experienced po
or functional results after good immediate results and showed restenosis in
97% of these. In multivariate analysis, the predictors of poor functional
results were old age (P=0.0008), unfavorable valve anatomy (P=0.003), high
NYHA class (P<0.0001), atrial fibrillation (P<0.0001), low valve area after
PMC (P=0.001), high gradient after PMC (P<0.0001), and grade 2 mitral regu
rgitation after PMC (P=0.04).
Conclusions-PMC can be performed with good late results in a variety of pat
ient subsets. prediction of late events is multifactorial. Knowledge of the
se predictors can improve patient selection and follow-up.