Search PubMed⌕ Search

Biomedical subjects

M A Gutierrez

Publications and source records attributed to M A Gutierrez.

20 records · Page 2Linked to original sources

Attenuation of neurogenic hypertension by chronic converting enzyme inhibition.

We compared the effects produced by acute and chronic administration of captopril in sinoaortic denervated rats. In conscious undisturbed rats acute administration of captopril (10 mg/kg intravenously) produced acute transient reductions in mean arterial pressure of 16 and 26%, 6 h (mean arterial pressure 148 +/- 4 mmHg) and 24 h (133 +/- 3 mmHg) after the sinoaortic denervation, respectively. Chronic captopril treatment (30 mg/day orally) produced a permanent attenuation of the hypertension induced by sino-aortic denervation, as shown by a beat-to-beat analysis of arterial pressure for 80 min. The attenuation was 11% (131 +/- 7 versus 148 +/- 4 mmHg) and 24% (103 +/- 9 versus 133 +/- 3 mmHg) in rats studied 6 and 24 h after the sinoaortic denervation, respectively. Chronic captopril administration produced no alteration in the tachycardia, nor in the heart rate variability of the sinoaortic denervated rats; the latter was lower than that of normotensive rats. These data show that while acute administration of captopril in sinoaortic denervated rats produced a rapid hypotensive response, chronic administration produced a long-lasting attenuation of hypertension, presumably by interference with sympathetic cardiovascular control.

Animals↗

Lossy compression techniques, medical images, and the clinician.

There has been increasing interest in the storage and retrieval of medical images in hospitals and clinics here in Brazil and elsewhere. At the Heart Institute of São Paulo, with thousands of image-based procedures performed each month, the pursuit of optimal transmission and storage methods for digital images is a major concern. The use of data-compression techniques can reduce the enormous amount of imaging data to be stored or transmitted across a computer network, so that the efficiency of the computing system is preserved. The techniques for image compression can be categorized as "lossless" or "lossy," with "lossy" techniques being those in which some, supposedly irrelevant information is lost. Lossy techniques are much more efficient than lossless ones, achieving data-compression ratios as high as 100:1.

Algorithms↗