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

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
2001 Arquivos Brasileiros de Cardiologia  
Rosa et al Cardiac geometry in essential hypertension Arq Bras Cardiol 2001; 76: 362-8. Hospital do Rim e Hipertensão Mailing address: Eduardo Cantoni Rosa -Hospital do Rim e Hipertensão -Rua Borges Lagoa, 960 -04038-002 -São Paulo, SP, Brazil English version by Stela Maris C. Gandour Purpose -To evaluate 2 left ventricular mass index (LV-MI) normality criteria for the prevalence of left ventricular geometric patterns in a hypertensive population ( HT ) . Methods -544 essential hypertensive
more » ... al hypertensive patients, were evaluated by echocardiography, and different left ventricular hypertrophy criteria were applied: 1 -classic : men -134 g/m 2 and women -110 g/m 2 ; 2-obtained from the 95 th 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/m 2 *; 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.
doi:10.1590/s0066-782x2001000500002 pmid:11359184 fatcat:b7narjwvebdsxafxsdnuxtee4m