Distribution of cardiac geometric patterns on echocardiography in essential hypertension. Impact of two criteria of stratification

• Main Authors: Eduardo Cantoni Rosa, Valdir Ambrósio Moisés, Ricardo Cintra Sesso, Nárcia E. B. Kohlmann, Frida Liane Plavnik, Maria Teresa Zanella, Artur Beltrame Ribeiro, Osvaldo Kohlmann Júnior
• Format: Article
• Language: English
• Published: Sociedade Brasileira de Cardiologia (SBC) 2001-05-01
• Series: Arquivos Brasileiros de Cardiologia
• Subjects: essential hypertension; left ventricular hypertrophy; criteria of hypertrophy
• Online Access: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0066-782X2001000500002

PURPOSE: To evaluate 2 left ventricular mass index (LVMI) normality criteria for the prevalence of left ventricular geometric patterns in a hypertensive population ( HT ) . METHODS: 544 essential hypertensive patients, were evaluated by echocardiography, and different left ventricular hypertrophy criteria were applied: 1 - classic : men - 134 g/m² and women - 110 g/m² ; 2- obtained from the 95th percentil of LVMI from a normotensive population (NT). RESULTS: The prevalence of 4 left ventricular geometric patterns, respectively for criteria 1 and 2, were: normal geometry - 47.7% and 39.3%; concentric remodelying - 25.4% and 14.3%; concentric hypertrophy - 18.4% and 27.7% and excentric hypertrophy - 8.8% and 16.7%, which confered abnormal geometry to 52.6% and 60.7% of hypertensive. The comparative analysis between NT and normal geometry hypertensive group according to criteria 1, detected significative stuctural differences,"( *p < 0.05):LVMI- 78.4 ± 1.50 vs 85.9 ±0.95 g/m² *; posterior wall thickness -8.5 ± 0.1 vs 8.9 ± 0.05 mm*; left atrium - 33.3 ± 0.41 vs 34.7 ± 0.30 mm *. With criteria 2, significative structural differences between the 2 groups were not observed. CONCLUSION: The use of a reference population based criteria, increased the abnormal left ventricular geometry prevalence in hypertensive patients and seemed more appropriate for left ventricular hypertrophy detection and risk stratification.