ECE2017 Eposter Presentations: Pituitary and Neuroendocrinology Pituitary - Clinical (145 abstracts)
Acromegaly and cardiovascular risk
Betina Biagetti 1 , Anna Aulinas 2 , Natividad Lopez 1 , Esther García-Fernandez 1 , Maria José Arnau-Vives 1 , Andrea Ciudin 1 , Gabriel Obiols 1 , Belen Dalama 1 & Jordi Mesa 1
1Vall d’Hebron Hospital, Barcelona, Spain; 2Hospital Universitari de Vic, Barcelona, Spain.
Background: Acromegaly (ACRO) is associated with increased cardiovascular morbidity and mortality, however, there is no evidence of an increase in ischemic heart disease in these patients. We hypothesized that non-classical cardiovascular risk factors such as epicardial fat (EF), interventricular septum thickness (IST), carotid intima-media thickness (CIMT), may be increased in ACRO and contribute to this higher cardiovascular morbidity.
Objective: To evaluate EF, IST, and CIMT in patients with ACRO compared to controls and identify possible predictors in this non-classical cardiovascular risk factors.
Material and methods: We studied CIMT, IST, EF in 30 patients with ACRO (16 males, 5 with active disease) and 30 matched controls (by age, sex and body mass index (BMI)).
Results: Both cohorts were identical regarding the presence of cardiovascular risk factors (CVRF. The ACRO cohort presented higher EF and IST compared to the control group (0.65±0.16 vs 0.43±0.14 cm, P=0.001 and 11.31±1.17 vs 10.64±1.47 mm, P=0.035, respectively). The presence of ACRO (ß 0.545, P<0.001; R2 297) was the unique positive predictor of EF, while BMI and hypertension were positive predictors of IST (ß 0.379, P=0.006 and ß 0.344, P=0.013, respectively, R2 0.298) in a multiple linear regression model.
Conclusions: Patients with ACRO have higher EF and higher IST (influenced by hypertension and BMI), compared with matched controls despite a similar prevalence of CVRF. Increased EF and IST could partially contribute to this increased cardiovascular morbidity and mortality observed in acromegaly.
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Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
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