OBJECTIVE: Nonalcoholic fatty liver disease (NAFLD) is a very frequent disease in Western countries. NAFLD shares with metabolic syndrome the same etiologic factors, such as obesity, diabetes, and dyslipidemia, which are also major cardiovascular risk factors. Cardio-GOOSE (Cardio-Gambettola ObservatOry liver Steatosis Estimation) is a population-based cohort study finalized to evaluate the relationship between NAFLD, subclinical vascular damage, and arterial stiffness. METHODS: The study population consisted of 220 participants (123 women), aged between 30 and 70 years, who participated in the GOOSE study. Arterial stiffness was determined by measuring the carotid-femoral pulse wave velocity (PWV) by means of the PulsePen device. Preclinical atherosclerosis was detected by carotid intima-media thickness (IMT) measurement. RESULTS: NAFLD was associated with metabolic syndrome in 48% of cases. IMT values were strongly related to metabolic syndrome factors. No significant differences in IMT were found between controls and patients with isolated NAFLD (0.77 +/- 0.15 mm versus 0.76 +/- 0.14 mm). Conversely, in patients with NAFLD associated with metabolic syndrome, IMT values were significantly higher than in patients with NAFLD alone (0.85 +/- 0.16 mm, P < 0.005). PWV values were significantly lower in controls compared to patients with isolated NAFLD (7.40 +/- 1.47 versus 7.98 +/- 1.51 m/s, P < 0.05) as well as patients with both NAFLD and metabolic syndrome (8.29 +/- 2.2 m/s, P < 0.001). The prevalence in NAFLD was increased in patients with the highest PWV values, and persisted after adjustment for factors determining metabolic syndrome (P < 0.05). CONCLUSIONS: This study has shown a possible independent role of NAFLD in determining arterial stiffness.
OBJECTIVE:Nonalcoholic fatty liver disease (NAFLD) is a very frequent disease in Western countries. NAFLD shares with metabolic syndrome the same etiologic factors, such as obesity, diabetes, and dyslipidemia, which are also major cardiovascular risk factors. Cardio-GOOSE (Cardio-Gambettola ObservatOry liver Steatosis Estimation) is a population-based cohort study finalized to evaluate the relationship between NAFLD, subclinical vascular damage, and arterial stiffness. METHODS: The study population consisted of 220 participants (123 women), aged between 30 and 70 years, who participated in the GOOSE study. Arterial stiffness was determined by measuring the carotid-femoral pulse wave velocity (PWV) by means of the PulsePen device. Preclinical atherosclerosis was detected by carotid intima-media thickness (IMT) measurement. RESULTS: NAFLD was associated with metabolic syndrome in 48% of cases. IMT values were strongly related to metabolic syndrome factors. No significant differences in IMT were found between controls and patients with isolated NAFLD (0.77 +/- 0.15 mm versus 0.76 +/- 0.14 mm). Conversely, in patients with NAFLD associated with metabolic syndrome, IMT values were significantly higher than in patients with NAFLD alone (0.85 +/- 0.16 mm, P < 0.005). PWV values were significantly lower in controls compared to patients with isolated NAFLD (7.40 +/- 1.47 versus 7.98 +/- 1.51 m/s, P < 0.05) as well as patients with both NAFLD and metabolic syndrome (8.29 +/- 2.2 m/s, P < 0.001). The prevalence in NAFLD was increased in patients with the highest PWV values, and persisted after adjustment for factors determining metabolic syndrome (P < 0.05). CONCLUSIONS: This study has shown a possible independent role of NAFLD in determining arterial stiffness.
Authors: Michelle T Long; Na Wang; Martin G Larson; Gary F Mitchell; Joseph Palmisano; Ramachandran S Vasan; Udo Hoffmann; Elizabeth K Speliotes; Joseph A Vita; Emelia J Benjamin; Caroline S Fox; Naomi M Hamburg Journal: Arterioscler Thromb Vasc Biol Date: 2015-03-05 Impact factor: 8.311
Authors: Marco Nuti; Paolo Spontoni; Chrysanthos Grigoratos; Giulia Dell'Omo; Alberto Balbarini; Roberto Pedrinelli Journal: Vasc Health Risk Manag Date: 2012-05-01
Authors: Ansel Shao Pin Tang; Kai En Chan; Jingxuan Quek; Jieling Xiao; Phoebe Tay; Margaret Teng; Keng Siang Lee; Snow Yunni Lin; May Zin Myint; Benjamin Tan; Vijay K Sharma; Darren Jun Hao Tan; Wen Hui Lim; Apichat Kaewdech; Daniel Huang; Nicholas Ws Chew; Mohammad Shadab Siddiqui; Arun J Sanyal; Mark Muthiah; Cheng Han Ng Journal: Clin Mol Hepatol Date: 2022-03-02