Affiliation:
1. the Cardiology Department, Tenon Hospital, and INSERM U258, Broussais Hospital (P.D.), Paris, France.
Abstract
Background
The wide use of percutaneous mitral commissurotomy (PMC) underlines the need to identify the predictive factors of the results. Using a large series allowed us to develop a multivariate model that can be applied to improve patient selection.
Methods and Results
Between 1986 and 1995, PMC was undertaken in 1514 patients. Mean age was 45±15 years. Echocardiography showed that 245 patients (16%) had pliable valves and mild chordal thickening (group 1), 886 (59%) had extensive subvalvular disease (group 2), and 383 (25%) had calcified valves (group 3). PMC failed in 22 patients; it was performed with a single balloon in 30 patients, a double balloon in 586, and the Inoue balloon in 876. Good immediate results were defined as a valve area ≥1.5 cm
2
with mitral regurgitation Sellers' grade ≤2 and were obtained in 1348 patients (89%). A logistic model developed from the first 1088 cases identified the following predictors of immediate results: age (
P
=.004), echocardiographic group (
P
<.0001), valve area (
P
<.0001), and effective balloon dilating area (EBDA) (
P
=.03). Two interactions were significant: age at previous commissurotomy (
P
=.013) and EBDA by initial mitral regurgitation (
P
=.034). The type of balloon was of borderline significance (
P
=.09). The model was validated on an independent sample comprising the subsequent 426 procedures. For a threshold of probability of good results of .75, sensitivity was 92%, specificity 25%, and predictive accuracy 87%.
Conclusions
Prediction of the immediate results of PMC is multifactorial. The predictive model developed and validated can be contributive in decision making for individual patients.
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Physiology (medical),Cardiology and Cardiovascular Medicine
Cited by
164 articles.
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