Echocardiographic evaluation of systolic and mean pulmonary artery pressure in the follow-up of patients with pulmonary hypertension.
Eur J Echocardiogr
; 12(9): 696-701, 2011 Sep.
Article
en En
| MEDLINE
| ID: mdl-21821609
ABSTRACT
AIMS:
To identify a correction of the modified Bernoulli formula used to estimate systolic and mean pulmonary artery pressure [sPAP and mPAP; respectively sPAP = 4 × TRv (tricuspid regurgitation velocity)(2)+ RAP (right atrial pressure); and mPAP = 0.61sPAP + 2], applicable in the follow-up of pulmonary hypertension (PH) patients. METHODS ANDRESULTS:
From January 1979 to December 2009, 60 patients with precapillary (class I and IV) and 'out of proportion' PH were consecutively enrolled in the PH Registry of Trieste. All patients underwent both echocardiographic and right heart catheter evaluation. We used a simple-linear-regression method in order to compare sPAP and mPAP Doppler-estimated values with the respective right-heart catheterization invasive variables. The comparison of the estimated with the traditional modified Bernoulli formula echo-Doppler data and the effective invasive values confirmed a significant association between them (for sPAP P< 0.001; for mPAP P= 0.006). Simple-linear-regression-derived formulas were sPAP = 1.07 × (4TRv(2)+ RAP) + 7.4 (1) and mPAP = 1.1 × (0.61sPAP + 2) + 2.5 (2). These regression-corrected formulas were validated in an external population of PH patients.CONCLUSION:
Our data suggest that formulas (1) and (2) could be more reliable with respect to the traditional modified Bernoulli equation, when estimating echocardiographically sPAP and mPAP in patients with PH confirmed by right-heart catheterization.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Arteria Pulmonar
/
Determinación de la Presión Sanguínea
/
Ecocardiografía Doppler
/
Hipertensión Pulmonar
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Límite:
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Revista:
Eur J Echocardiogr
Asunto de la revista:
CARDIOLOGIA
/
DIAGNOSTICO POR IMAGEM
Año:
2011
Tipo del documento:
Article
País de afiliación:
Italia