Peri-operative management of pheochromocytoma with intravenous urapidil to prevent hemodynamic instability: A 17-year experience

Autor: Grégoire Robert, Patrick Tauzin-Fin, François Sztark, Jean-Christophe Bernhard, Kévin Barrucand, Stéphanie Roullet, Musa Sesay, Philippe Gosse
Přispěvatelé: Biologie des maladies cardiovasculaires = Biology of Cardiovascular Diseases, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Journal of Anaesthesiology Clinical Pharmacology, Vol 36, Iss 1, Pp 49-54 (2020)
Journal of Anaesthesiology Clinical Pharmacology
Journal of Anaesthesiology Clinical Pharmacology, Medknow Publications, In press, 36 (1), pp.49. ⟨10.4103/joacp.JOACP_71_18⟩
Journal of Anaesthesiology, Clinical Pharmacology
ISSN: 0970-9185
DOI: 10.4103/joacp.JOACP_71_18⟩
Popis: Background and Aims: Surgery for pheochromocytoma (PCC) can cause excessive catecholamine release with severe hypertension. Alpha blockade is the mainstay of preoperative management. The aim of this study was to evaluate the efficacy and tolerance of intra-venous (IV) urapidil, a competitive short acting α1 receptor antagonist, in the prevention of peri-operative hemodynamic instability of patients with PCC. Material and Methods: This retrospective observational study included 75 patients (79 PCC) for PCC removal surgery from 2001 to 2017 at the Bordeaux University Hospital. They received, 3 days before surgery, continuous intravenous infusion of urapidil with stepwise increase to the maximum tolerated dose. Urapidil was maintained during the procedure and stopped after clamping the adrenal vein. Plasma catecholamine concentrations were measured during surgery. Hypertensive peaks (SAP >160 mmHg) and tachycardia >100 beats/min were treated with boluses of nicardipine 2 mg and esmolol 0.5 mg/kg. Results: We recorded 20/79 (25%) cases with systolic arterial pressure (SAP) >180 mmHg. Only 11/79 (14%) had hypotension with SAP
Databáze: OpenAIRE