Objective: To test the hypothesis that ma huang induces a pressor response in the pulmonary vascular bed of the cat by activating alpha(1)-adrenergic receptors
Design: Prospective vehicle-controlled study.
Setting: Research laboratory at Texas Tech University School of Medicine, Lubbock, TX.
Subjects: Intact chest preparation; adult mongrel cats.
Interventions: The effects of phentolamine, a nonselective alpha receptor blocker, and prazosin, an alpha(1) selective antagonist, were investigated on pulmonary arterial responses to ma huang, phenylepherine, norepinephrine, and U-46619, a thromboxane A(2) mimic.
Measurements And Main Results: Lobar arterial perfusion pressure was continuously monitored, electronically averaged, and recorded with constant flow in the isolated left lower lobe vascular bed of the cat. Phentolamine and prazosin significantly reduced vasoconstrictor pulmonary perfusion pressure increases induced by ma huang.
Conclusions: Ma huang has significant vasopressor activity in the pulmonary vascular bed of the cat mediated predominantly by alpha(1)-adrenergic receptor activation.
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http://dx.doi.org/10.1089/107555303322524571 | DOI Listing |
CJC Open
February 2024
CAPITAL Research Group, University of Ottawa Heart Institute, Ottawa, Ontario, Canada.
Background: Type I myocardial infarction (T1MI) or type II myocardial infarction (T2MI) have different underlying mechanisms; however, in the setting of cardiogenic shock (CS), it is not understood if patients experience resultantly different outcomes. The objective of this study was to determine clinical features, biomarker patterns, and outcomes in these subgroups.
Methods: Patients from the CAPITAL-DOREMI trial presenting with acute myocardial infarction-associated CS (n = 103) were classified as T1MI (n = 61) or T2MI (n = 42).
JACC Case Rep
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Center for Coronary Artery Disease, Minneapolis Heart Institute Foundation, Minneapolis, Minnesota, USA.
Coronary computed tomography angiography (CTA) analysis can help in the planning of percutaneous coronary intervention (PCI). Fractional flow reserve derived from coronary CTA (FFR), coronary CTA-derived regional myocardial mass, and FFR virtual PCI planner can facilitate decisions concerning sheath and guide catheter selection, stent lengths on the basis of predicted post-PCI FFR, optimal fluoroscopic angles, evaluation of provisional vs 2-stent bifurcation PCI techniques, and assessment of the magnitude of jeopardized myocardial mass in cases with side branch compromise. This case series illustrates the emerging opportunities for coronary CTA-based planning of bifurcation PCI.
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April 2025
Division of Vascular Surgery, London Health Sciences Center, University of Western Ontario, London, Ontario, Canada.
Despite advancements in surgical techniques and critical care, managing complications of type A and B aortic dissections remains challenging. Common morbidities include paraplegia, renal failure, stroke, and intestinal ischemia. Risks are especially high in extensive repairs, such as Crawford extent II thoracoabdominal aortic aneurysms, and in older patients or those with heart failure, poor pulmonary function, or renal disease.
View Article and Find Full Text PDFVasa
January 2025
Department of Vascular Surgery, Aristotle University of Thessaloniki, AHEPA University General Hospital, Thessaloniki, Greece.
We investigated the safety and efficacy of rivaroxaban as routine thromboprophylaxis after endovenous thermal ablation (EVTA). Adhering to the PRISMA 2020 guidelines, we conducted a systematic review for studies published up to April 2024. Primary endpoints included endovenous heat-induced thrombosis (EHIT) class ≥ II, deep vein thrombosis (DVT), major and minor bleeding and the composite endpoint of major thromboembolic complications including any incidents of EHIT ≥ III, DVT or pulmonary embolism (PE).
View Article and Find Full Text PDFNat Cancer
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Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Essen, Germany.
Despite advances in precision oncology, clinical decision-making still relies on limited variables and expert knowledge. To address this limitation, we combined multimodal real-world data and explainable artificial intelligence (xAI) to introduce AI-derived (AID) markers for clinical decision support. We used xAI to decode the outcome of 15,726 patients across 38 solid cancer entities based on 350 markers, including clinical records, image-derived body compositions, and mutational tumor profiles.
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