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Eur J Echocardiogr ; 12(4): 283-90, 2011 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-21266379

RESUMO

AIMS: The aim of this study was to test the hypothesis that, unlike calculation of the mitral valve area (MVA) with the pressure half-time method (PHT), the proximal isovelocity surface area method (PISA) is not affected by changes in net atrioventricular compliance (C(n)). METHODS AND RESULTS: We studied 51 patients with mitral stenosis (MS) from two centres. MVA was assessed with the PISA (MVA(PISA)), PHT (MVA(PHT)), and planimetry (MVA(PLN), serving as the gold standard) method. C(n) was calculated with a previously validated equation using 2D echocardiography. MVA(PISA) closely correlated with MVA(PLN) (r = 0.96, P < 0.0001), while MVA(PHT) and MVA(PLN) showed a weaker but still good correlation (r = 0.69, P < 0.0001). The correlation between MVA(PHT) and MVA(PLN) for patients with C(n) between 4 and 6 mL/mmHg (considered to be normal) was excellent (r = 0.93, P < 0.0001), but that for patients with C(n) of less than 4 or more than 6 mL/mmHg was not as good (r = 0.64, P < 0.0001). Importantly, a significant inverse correlation was detected between the percentage difference among MVA(PHT), MVA(PLN), and C(n) (r = -0.77, P < 0.0001), but the line of fit was nearly flat for the percentage difference among MVA(PISA), MVA(PLN), and C(n) (r = 0.1, P = 0.388). CONCLUSION: MVA calculated with both the PISA and PHT methods correlated well with MVA calculated with the planimetry method. However, the PISA rather than PHT is recommended for patients with MS and extreme C(n) values because PISA, unlike PHT, is not affected by changes in C(n).


Assuntos
Ecocardiografia/métodos , Estenose da Valva Mitral/diagnóstico por imagem , Valva Mitral/diagnóstico por imagem , Velocidade do Fluxo Sanguíneo , Ecocardiografia Doppler em Cores/métodos , Feminino , Humanos , Modelos Lineares , Masculino , Pessoa de Meia-Idade , Valva Mitral/fisiopatologia , Estenose da Valva Mitral/fisiopatologia , Estudos Prospectivos , Índice de Gravidade de Doença
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