OBJECTIVE -To evaluate whether homeostasis model assessment-estimated insulin resistance (HOMA-IR) is an independent predictor of cardiovascular disease (CVD) in type 2 diabetes.RESEARCH DESIGN AND METHODS -Conventional CVD risk factors (sex, age, smoking, plasma lipids, blood pressure, and metabolic control) and insulin resistance (estimated by HOMA) were evaluated at baseline in 1,326 patients with type 2 diabetes examined within the Verona Diabetes Complications Study. At baseline and after a mean follow-up of 4.5 years, CVD was assessed by medical history, physical examination, electrocardiography, and echo-Doppler of carotid and lower limb arteries. Death certificates and medical records of subjects who died during the follow-up were carefully scrutinized to identify cardiovascular deaths. In statistical analyses, CVD was an aggregate end point including both fatal and nonfatal coronary, cerebrovascular, and peripheral vascular disease as well as ischemic electrocardiographic abnormalities and vascular lesions identified by echo-Doppler.RESULTS -At baseline, 441 subjects were coded positive for CVD (prevalent cases). Incident cases numbered 126. Multiple logistic regression analyses showed that, along with sex, age, smoking, HDL/total cholesterol ratio, and hypertension, HOMA-IR was an independent predictor of both prevalent and incident CVD. A 1-unit increase in (log)HOMA-IR value was associated with an odds ratio for prevalent CVD at baseline of 1.31 (95% CI 1.10 -1.56, P ϭ 0.002) and for incident CVD during follow-up of 1.56 (95% CI 1.14 -2.12, P Ͻ 0.001).CONCLUSIONS -HOMA-IR is an independent predictor of CVD in type 2 diabetes. The improvement of insulin resistance might have beneficial effects not only on glucose control but also on CVD in patients with type 2 diabetes.
Post-load insulin resistance (OGIS <9.8 mg/kg/min) is associated with severe hepatic fibrosis in both NAFLD and CHC patients, and may help identify subjects at risk of progressive disease.
Overweight, central fat distribution, dyslipidaemia, hypertension and poor glycometabolic control are strong independent predictors of insulin resistance in Type 2 diabetes. However, reduced insulin sensitivity can be found even when Type 2 diabetes is isolated and well controlled.
Coexistence of pituitary adenoma, intracranial meningioma and cerebral aneurysm has never been described. We report on a patient with GH-secreting pituitary macroadenoma associated with a right frontal meningioma and with two intracavernous asymptomatic aneurisms. A 61-year-old woman was referred to our Endocrine Unit 13 years after a right frontal craniotomy for a pituitary tumour. Endocrine investigation showed high levels of IGF-1 (560 ng/ml) and increased basal serum GH (56 ng/ml) levels, not suppressed after OGTT. MRI showed persistence of a homogeneously enhancing intra- and suprasellar lesion, compressing the visual pathways, with bilateral intracavernous invasion and simultaneous coexistence of a right intracavernous internal carotid artery (ICA) aneurysm in direct contact with the pituitary tumour. Somatostatin analog treatment normalized GH and IGF-1 levels. Eight months later, the patient underwent a balloon ICA occlusion with disappearance of the right ICA aneurysm. One year later, a new MRI confirmed the presence of the pituitary mass showing also a right intracranial frontal meningioma and a new ICA aneurysm on the left side. Previous studies have suggested that prolonged GH hypersecretion could play a role in the genesis of intracranial aneurysms, inducing atherosclerotic and/or degenerative modification of the arterial walls. Other aetiological factors include a mechanical effect due to a direct contact between adenoma and aneurysm. Coexistence of pituitary adenoma and intracranial meningioma is a rare event, but also for this association it has been suggested that GH or other growth factors could play a role in appearance or in growth of meningioma. In our case, meningioma appeared and grew, despite the effective treatment of acromegaly.
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