Inhibitory effects of terazosin on the compensatory blood pressure responses to tilting were studied in conscious rabbits and spontaneously hypertensive rats (SHR). In rabbits, doses which reduced the mean blood pressure by 15 mmHg were 330 micrograms/kg, i.v., for terazosin and 42 micrograms/kg, i.v., for prazosin, while those which depressed the blood pressure responses to tilting by 30 mmHg were 180 micrograms/kg, i.v., for terazosin and 54 micrograms/kg, i.v., for prazosin. In SHR, almost equal decreases in the mean blood pressure (about 30%) were observed by 1 mg/kg prazosin, p.o., 20 mg/kg hexamethonium, i.p., 3 mg/kg hydralazine, p.o., or 3 mg/kg nicardipine, p.o. In these conditions, prazosin and hexamethonium markedly depressed the blood pressure responses to tilting, whereas hydralazine and nicardipine showed little effect. The results with these antihypertensive drugs closely paralleled the established orthostatic profiles seen clinically. In this SHR tilting model, when the mean blood pressure was reduced by 15%, prazosin significantly depressed the tilting reflexes; however, terazosin produced no depression. Considering the dose ratio of terazosin to prazosin for antihypertensive effects and inhibitory effects on the tilting reflexes, the orthostatic liability of terazosin was about 3 times as low as that of prazosin. On the basis of these results, it is expected that terazosin causes less orthostatic hypotension than prazosin in clinical use.
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http://dx.doi.org/10.1254/fpj.91.275 | DOI Listing |
Circ Genom Precis Med
January 2025
Mary and Steve Wen Cardiovascular Division, Department of Medicine, University of California, Los Angeles. (W.F., N.D.W.).
Background: Lp(a; Lipoprotein[a]) is a predictor of atherosclerotic cardiovascular disease (ASCVD); however, there are few algorithms incorporating Lp(a), especially from real-world settings. We developed an electronic health record (EHR)-based risk prediction algorithm including Lp(a).
Methods: Utilizing a large EHR database, we categorized Lp(a) cut points at 25, 50, and 75 mg/dL and constructed 10-year ASCVD risk prediction models incorporating Lp(a), with external validation in a pooled cohort of 4 US prospective studies.
Hypertension
January 2025
Department of Nephrology, Medical Faculty, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Germany (S.A.P., I.Q., D. Arifaj, M.K., D. Argov, L.C.R., J.S.).
Background: Ciliary neurotrophic factor (CNTF), mainly known for its neuroprotective properties, belongs to the IL-6 (interleukin-6) cytokine family. In contrast to IL-6, the effects of CNTF on the vasculature have not been explored. Here, we examined the role of CNTF in AngII (angiotensin II)-induced hypertension.
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View Article and Find Full Text PDFJHEP Rep
February 2025
Department of Gastroenterology and Hepatology, Hospital Universitario Ramón y Cajal, Instituto Ramon y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid, Spain.
Background & Aims: Systemic inflammation is a driver of decompensation in cirrhosis with unclear relevance in the compensated stage. We evaluated inflammation and bacterial translocation markers in compensated cirrhosis and their dynamics in relation to the first decompensation.
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Front Public Health
January 2025
Department of Computer Science, College of Engineering and Computer Science, Jazan University, Jazan, Saudi Arabia.
Introduction: The growing demand for real-time, affordable, and accessible healthcare has underscored the need for advanced technologies that can provide timely health monitoring. One such area is predicting arterial blood pressure (BP) using non-invasive methods, which is crucial for managing cardiovascular diseases. This research aims to address the limitations of current healthcare systems, particularly in remote areas, by leveraging deep learning techniques in Smart Health Monitoring (SHM).
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