Roberta Laccetti

Energy-restricted, n-3 polyunsaturated fatty acids-rich diet improves the clinical response to immuno-modulating drugs in obese patients with plaque-type psoriasis: a randomized control clinical trial

BACKGROUND & AIMS Low-grade systemic inflammation associated with obesity may worsen the clinical course of psoriasis. This study aimed to assess the effectiveness of an energy-restricted diet, enriched in n-3 polyunsaturated fatty acids (PUFAs) and poor in n-6 PUFAs, on metabolic markers and clinical outcome of obese patients with psoriasis. METHODS Forty-four obese patients with mild-to-severe plaque-type psoriasis treated with immuno-suppressive drugs were randomized to assume for six months either their usual diet or an energy-restricted diet (20 kcal/kg/ideal body weight/day) enriched of n-3 PUFAs (average 2.6 g/d). All patients continued their immuno-modulating therapy throughout the study. RESULTS At 3 and 6 months, a significant clinical improvement was observed in patients assuming the low-calorie high n-3 PUFAs diet respect to controls. Specifically Psoriasis Area Score Index (7.7 ± 3.7, 5.3 ± 4.3 and 2.6 ± 3.0, respectively; p < 0.05), itch scores (15.4 ± 13.5, 12.3 ± 12.1 and 1.8 ± 5.9, respectively; p < 0.05) and Dermatological Life Quality Index (19.5 ± 1.9, 11.4 ± 3.5 and 5.1 ± 1.6; respectively, p < 0.05) all decreased respect to baseline. In these subjects but not in controls, a significant decrease in body weight (93.8 ± 10.1, 85.8 ± 11.4 and 83.1 ± 12.1 kg, respectively; p < 0.05), waist circumference (112.7 ± 7.2, 106.1 ± 10.3 and 101.9 ± 10.4 cm; p < 0.05), serum triglycerides (141.8 ± 51.1, 100.5 ± 26.6 and 90.2 ± 34.5 mg/dL; respectively, p < 0.05), serum total cholesterol (198.3 ± 31.7, 171.4 ± 29.0 and 176.5 ± 20.5 mg/dL; respectively, p < 0.05) and n-6/n-3 ratio intake also occurred (5.1 ± 0.9, 2.0 ± 0.9 and 2.3 ± 1.1; respectively, p < 0.05). CONCLUSIONS In obese psoriatic patients, an energy-restricted diet designed to increase n-3 and reduce n-6 PUFAs, ameliorated the metabolic profile and, by increasing the response to immuno-modulating therapy, improved the clinical outcomes of the disease (ClinicalTrials.gov identifier: NCT01876875).

Impedance vector distribution by body mass index and conventional bioelectrical impedance analysis in obese women.

BACKGROUND AND AIM To compare the body fluid status assessments provided by conventional bioelectrical impedance analysis (BIA) and vector BIA in moderate and severe obesity. METHODS AND RESULTS We studied 516 normotensive Caucasian women (mean age: 48 +/- 9.2 years), who were age-matched and divided into four groups on the basis of their body mass index (BMI): 99 normal weight women with a BMI of 19-25 Kg/m2; 228 preobese overweight women with a BMI of 25-30 Kg/m2; 132 women with class I-II obesity (BMI: 30-35 Kg/m2), and 57 women with class III obesity (BMI: 40-64 Kg/m2). Single-frequency (50 kHz) tetrapolar (hand-foot) bioelectrical impedance measurements were made, and total body water (TBW) and extracellular water (ECW) were estimated using conventional BIA regression equations. The RXc graph method was used for vector BIA, with the set of 327 women with a BMI of 19-30 Kg/m2 being adopted as the reference population. Mean vector displacement followed a definite pattern, with progressive vector shortening as the BMI increased, and along a fixed phase angle. This pattern indicates more TBW due to a greater soft tissue mass with average normal hydration. Short and downsloping vectors indicating fluid overload were more frequent in the group with class III obesity than in the group with class I obesity (19 vs 5%). The absolute values of TBW and ECW were significantly higher in the obese and overweight subjects than in those with normal weight subjects. TBW as a percentage of body weight was significantly lower in the obese subjects. CONCLUSIONS BMI influenced the impedance vector distribution pattern, which proved to be consistent up to a BMI of 64 Kg/m2. Obese women with an altered body composition can be identified and monitored using vector BIA.

Evidence on the prevalence and geographic distribution of major cardiovascular risk factors in Italy.

OBJECTIVE To assess the prevalence and geographic distribution of major cardiovascular risk factors in a large community-wide sample of the Italian population. DESIGN A cross-sectional survey. Standardized methods were used to collect and measure cardiovascular risk factors. Data were adjusted for survey weightings. Qualitative and quantitative variables were compared with parametric and non-parametric tests, as appropriate. SETTING Towns (n 193) across different Italian regions. SUBJECTS Unselected adults (n 24 213; 12 626 men; 11 587 women) aged 18-98 years (mean age 56·9 (sd 15·3) years), who volunteered to participate in a community-wide screening programme over a 2 d period in 2007. RESULTS Overall, the prevalence of major cardiovascular risk factors was: obesity, 22·7 % (women 18·9 %, men 26·1 %); overweight, 44·7 % (women 31·6 %, men 56·7 %); hypertension, 59·6 % (women 48·3 %, men 70·0 %); dyslipidaemia, 59·1 % (women 57·7 %, men 60·3 %); diabetes, 15·3 % (women 11·2 %, men 19·0 %) and smoking, 19·8 % (women 14·0 %, men 25·2 %). We found a high prevalence of unhealthy eating habits; fruit and vegetable consumption was below the recommended range in 60 % of the study population. Ninety per cent of the study population had more than one cardiovascular risk factor and 84 % had between two and five cardiovascular risk factors. There were differences among Italian macro-areas mainly for obesity, hypertension, dyslipidaemia and diabetes. CONCLUSIONS The study provides alarming evidence on current prevalence data for major cardiovascular risk factors in a large sample of the Italian population. Particularly, obesity and hypertension represent a relevant public health problem. There is a pressing need for effective preventive health measures which must also take into account the differences among Italian macro-areas.

Role of dietary intervention and nutritional follow-up in heart transplant recipients.

Abstract:  Background:  Obesity, dyslipidemia, hypertension, and diabetes mellitus are common features after heart transplantation and they lead to coronary artery disease and graft loss.