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1.
Br J Anaesth ; 122(2): 170-179, 2019 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-30686302

RESUMEN

BACKGROUND: The perioperative management of antiplatelet therapy in noncardiac surgery patients who have undergone previous percutaneous coronary intervention (PCI) remains a dilemma. Continuing dual antiplatelet therapy (DAPT) may carry a risk of bleeding, while stopping antiplatelet therapy may increase the risk of perioperative major adverse cardiovascular events (MACE). METHODS: Occurrence of Bleeding and Thrombosis during Antiplatelet Therapy In Non-Cardiac Surgery (OBTAIN) was an international prospective multicentre cohort study of perioperative antiplatelet treatment, MACE, and serious bleeding in noncardiac surgery. The incidences of MACE and bleeding were compared in patients receiving DAPT, monotherapy, and no antiplatelet therapy before surgery. Unadjusted risk ratios were calculated taking monotherapy as the baseline. The adjusted risks of bleeding and MACE were compared in patients receiving monotherapy and DAPT using propensity score matching. RESULTS: A total of 917 patients were recruited and 847 were eligible for inclusion. Ninety-six patients received no antiplatelet therapy, 526 received monotherapy with aspirin, and 225 received DAPT. Thirty-two patients suffered MACE and 22 had bleeding. The unadjusted risk ratio for MACE in patients receiving DAPT compared with monotherapy was 1.9 (0.93-3.88), P=0.08. There was no difference in MACE between no antiplatelet treatment and monotherapy 1.03 (0.31-3.46), P=0.96. Bleeding was more frequent with DAPT 6.55 (2.3-17.96) P=0.0002. In a propensity matched analysis of 177 patients who received DAPT and 177 monotherapy patients, the risk ratio for MACE with DAPT was 1.83 (0.69-4.85), P=0.32. The risk of bleeding was significantly greater in the DAPT group 4.00 (1.15-13.93), P=0.031. CONCLUSIONS: OBTAIN showed an increased risk of bleeding with DAPT and found no evidence for protective effects of DAPT from perioperative MACE in patients who have undergone previous PCI.


Asunto(s)
Hemorragia/inducido químicamente , Inhibidores de Agregación Plaquetaria/efectos adversos , Stents , Procedimientos Quirúrgicos Operativos/métodos , Trombosis/inducido químicamente , Adulto , Anciano , Anciano de 80 o más Años , Estudios de Cohortes , Vasos Coronarios , Quimioterapia Combinada , Femenino , Hemorragia/epidemiología , Hemorragia/terapia , Humanos , Masculino , Persona de Mediana Edad , Atención Perioperativa , Inhibidores de Agregación Plaquetaria/uso terapéutico , Puntaje de Propensión , Estudios Prospectivos , Riesgo , Trombosis/epidemiología , Trombosis/terapia
2.
Diabetes Metab Res Rev ; 28(8): 627-34, 2012 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-22987644

RESUMEN

Insulin resistance is increasingly acknowledged as an independent risk factor for cardiovascular disease. Despite this, our understanding of the cellular and molecular mechanisms that might account for this relationship remain incompletely understood. A key challenge has been in distinguishing between a 'whole-body' milieu of inflammation and oxidative stress from the ramifications of cell-specific resistance to insulin. Transgenic models have now begun to explore the cellular influences of insulin resistance on vascular biology, with novel implications for atherosclerosis across a range of cells including endothelial cells, endothelial progenitor cells, vascular smooth muscle cells, macrophages and fibroblasts. Emerging data from these models have also begun to challenge conventional dogma. In particular, the findings across various cell types are disparate with some even implying a protective influence on vascular biology. We now review these data, highlighting recent advances in our understanding of cellular resistance to insulin as well as those areas where there remains a paucity of data.


Asunto(s)
Aterosclerosis/etiología , Enfermedades Cardiovasculares/complicaciones , Resistencia a la Insulina/fisiología , Animales , Aterosclerosis/patología , Aterosclerosis/fisiopatología , Células Endoteliales/fisiología , Endotelio Vascular/fisiopatología , Fibroblastos/efectos de los fármacos , Fibroblastos/fisiología , Humanos , Insulina/fisiología , Células Secretoras de Insulina/fisiología , Macrófagos/fisiología , Músculo Liso Vascular/citología , Músculo Liso Vascular/fisiología , Factores de Riesgo , Células Madre/efectos de los fármacos , Células Madre/fisiología
3.
Diabetes Obes Metab ; 8(3): 296-301, 2006 May.
Artículo en Inglés | MEDLINE | ID: mdl-16634989

RESUMEN

AIM: The present study aims to explore the relationship between inflammatory cytokines, plasma lipids, insulin, blood pressure (BP), total adiposity/markers of fat distribution and endothelial function in healthy people across a wide range of body fatness. METHODS: Seventy-three healthy people (44 women; age range: 24-64 years) with body mass index (BMI) range of 18.6-73.1 kg/m2 were recruited. All participants underwent assessment of conduit artery endothelial-dependent vasodilatation by using flow-mediated vasodilatation (FMD) of the brachial artery and endothelial-independent vasodilatation to sublingual GTN. They had blood taken for measurement of plasma markers of glucose homeostasis (fasting insulin and glucose), systemic inflammation (interleukin-6 (IL-6), C-reactive protein (CRP) and tumour necrosis factor-alpha receptor 2 (TNF-alpha R2)) and lipids (low-density lipoprotein (LDL), high-density lipoprotein (HDL) and triglycerides). Morphometric assessment (waist circumference, BMI and waist-to-hip ratio (WHR)) and systolic and diastolic arterial pressure were also measured. RESULTS: Markers of total body fat/fat distribution (waist circumference, BMI and WHR), inflammation (IL-6, CRP and TNF-alpha R2), metabolism (fasting insulin, HDL, LDL and triglycerides) and BP (systolic and diastolic) correlated with FMD. Among these measurements, WHR was the only independent predictor of FMD (r2 = 0.30; p = 0.0001). CONCLUSIONS: WHR is an important marker of endothelial dysfunction in healthy people across a wide range of body fatness.


Asunto(s)
Distribución de la Grasa Corporal , Endotelio Vascular/fisiología , Vasodilatación/fisiología , Adulto , Antropometría , Glucemia/metabolismo , Presión Sanguínea/fisiología , Índice de Masa Corporal , Citocinas/sangre , Femenino , Humanos , Insulina/sangre , Lípidos/sangre , Masculino , Persona de Mediana Edad , Estudios Prospectivos , Relación Cintura-Cadera
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