Introduction: The Mediterranean Diet (MD) is useful in the prevention of overweight, obesity and metabolic disease. High Quality-Extra Virgin Olive Oil (HQ-EVOO), an essential component of this diet, exerts protective effects against chronic diseases. Gut Microbiota (GM), recognized as a key factor in driving metabolic activities, is involved in the regulation of host immunity. Lactic Acid Bacteria (LAB) and their probio-active cellular substances produce beneficial effects in the gastrointestinal tract.Materials and Methods: Eighteen overweight/obese subjects (cases, BMI ≥25 kg/m2) and 18 normal weight controls (BMI 18.5–24.9 kg/m2) were fed with MD enriched with 40 g/die HQ-EVOO for three months. Feces and blood samples were collected at time 0 (T0) and after three months (T1) for LAB composition, oxidative stress, metabolic and inflammation parameter determinations.Results: Myeloperoxidase and 8-hydroxy-2-deoxyguanosine, markers of inflammation and oxidative stress, were significantly decreased after MD rich in HQ-EVOO both in controls and in cases. Proinflammatory cytokines levels were significantly decreased in cases in comparison to controls, while IL-10 and adiponectin were significantly increased in cases. LAB’s rpoB copies/ng of DNA increased 55.6 folds in cases compared to their baseline after MD rich in HQ-EVOO. MD rich in HQ-EVOO increased adiponectin and IL-10 concentration in overweight/obese subjects and decreased oxidative stress and inflammation parameters and at the same time, increased LAB number in GM.Discussion: Our results indicate that MD rich in HQ-EVOO induces an increase of LAB in GM and could have a potential role in the prevention of inflammation.Clinical Trial Registration: , identifier NCT03441802.

Background: In previous pilot studies we have demonstrated that the Treatment Motivation and Readiness Test (TRE-MORE) is capable of predicting the outcome of obesity therapy and that a higher muscle mass (MM) is associated with a greater weight loss. Purposes of the present study were: to confirm the predictive value of TRE-MORE scores and MM, using a standardized non-pharmacologic intervention for weight loss; to explore the relationship between TRE-MORE and MM; to discriminate predictors of attendance from predictors of final therapeutic success. Methods: A consecutive series of 331 patients was enrolled and addressed to a standardized treatment protocol. Results: Mean weight loss at 6 months was -5.03%. Among participants, 48.7% lost at least 5% initial body weight after 6 months and had significantly higher TRE-MORE total scores and MM. Weight loss was significantly associated with baseline MM, TRE-MORE-3, and a lower number of previous diets. Significantly lower TRE-MORE-3 scores were associated with drop-out. Conclusion: The present study confirms that therapeutic success is predicted by TRE-MORE scores and, independently from these, by estimated MM (after adjustment for BMI). TRE-MORE total score is a predictor of failure, but not of attendance, whereas drop-out patients showed a lower score only in TREMORE-3 subscale which investigates lifestyle habits.

For the interventions, attention has been focused on conditions of major complexity requiring special care, taking into account the different care settings, the clinical conditions secondary to the disease event, and the distinct tasks of each area according to the operator's specific role. The final report performed by each professional has also been included.

The present literature review and dietary recommendations provide healthcare professionals and all interested readers with a useful overview for the reduction of the risk of total, ischemic and haemorrhagic stroke through dietary modifications.

Malnutrition is common in stroke patients, as it is associated with neurological and cognitive impairment as well as clinical outcomes. Nutritional screening is a process with which to categorize the risk of malnutrition (i.e., nutritional risk) based on validated tools/procedures, which need to be rapid, simple, cost-effective, and reliable in the clinical setting. This review focuses on the tools/procedures used in stroke patients to assess nutritional risk, with a particular focus on their relationships with patients’ clinical characteristics and outcomes. Different screening tools/procedures have been used in stroke patients, which have shown varying prevalence in terms of nutritional risk (higher in rehabilitation units) and significant relationships with clinical outcomes in the short- and long term, such as infection, disability, and mortality. Indeed, there have been few attempts to compare the usefulness and reliability of the different tools/procedures. More evidence is needed to identify appropriate approaches to assessing nutritional risk among stroke patients in the acute and sub-acute phase of disease or during rehabilitation; to evaluate the impact of nutritional treatment on the risk of malnutrition during hospital stay or rehabilitation unit; and to include nutritional screening in well-defined nutritional care protocols.

Background: The complex nature of stroke sequelae, the heterogeneity in rehabilitation pathways, and the lack of validated prediction models of rehabilitation outcomes challenge stroke rehabilitation quality assessment and clinical research. An integrated care pathway (ICP), defining a reproducible rehabilitation assessment and process, may provide a structured frame within investigated outcomes and individual predictors of response to treatment, including neurophysiological and neurogenetic biomarkers. Predictors may differ for different interventions, suggesting clues to personalize and optimize rehabilitation. To date, a large representative Italian cohort study focusing on individual variability of response to an evidence-based ICP is lacking, and predictors of individual response to rehabilitation are largely unexplored. This paper describes a multicenter study protocol to prospectively investigate outcomes and predictors of response to an evidence-based ICP in a large Italian cohort of stroke survivors undergoing post-acute inpatient rehabilitation.Methods: All patients with diagnosis of ischemic or hemorrhagic stroke confirmed both by clinical and brain imaging evaluation, admitted to four intensive rehabilitation units (adopting the same stroke rehabilitation ICP) within 30 days from the acute event, aged 18+, and providing informed consent will be enrolled (expected sample: 270 patients). Measures will be taken at admission (T0), at discharge (T1), and at follow-up 6 months after a stroke (T2), including clinical data, nutritional, functional, neurological, and neuropsychological measures, electroencephalography and motor evoked potentials, and analysis of neurogenetic biomarkers.Statistics: In addition to classical multivariate logistic regression analysis, advanced machine learning algorithms will be cross-validated to achieve data-driven prognosis prediction models.Discussion: By identifying data-driven prognosis prediction models in stroke rehabilitation, this study might contribute to the development of patient-oriented therapy and to optimize rehabilitation outcomes.Clinical Trial Registration:ClinicalTrials.gov, NCT03968627. https://www.clinicaltrials.gov/ct2/show/NCT03968627?term=Cecchi&cond=Stroke&draw=2&rank=2.

Dietary habits are widely reported to play a primary role in the occurrence of coronary artery disease (CAD). Cardiac rehabilitation is a multidisciplinary intervention that includes nutritional education. Proper nutrition plays an important role in cardiovascular health outcomes and in decreasing morbidity and mortality of cardiovascular diseases (CVD) as highlighted in the literature. The aim of this study was to assess the efficacy of an educational program to improve the diet of cardiac rehabilitation patients compared to usual treatment. 160 patients with CAD, (124 M, 36 F) were randomized into two groups. Data analysis was conducted on 133 patients (11 % dropped out). All enrolled patients attended two educational seminars about proper nutrition and cardiovascular prevention, and completed a questionnaire about dietary habits (before CAD). The Body Mass Index (BMI) was calculated, and basal glycaemia and plasma lipids were assessed at the beginning and at the end of the study (12 months after hospital discharge). The intervention group patients underwent a mid-term evaluation of nutrient intakes, BMI, and received a personalized educational reinforcement by a dietitian. At the end of the study, the intervention group was shown to have significantly reduced their daily caloric intake (reduction of total proteins, total fat, carbohydrate, alcohol), and showed a significant reduction of weight and BMI compared to the control group. Individual nutritional counseling session as a reinforcement of a standard educational program is effective in reducing caloric intake and BMI, which may reduce cardiovascular risk factors in cardiovascular patients.

Patient education is a key component of diabetes care. Limits in resources often prevent the participation of many patients with type 2 diabetes to structured education programs. The identification of predictors of response to group education could help in selecting those patients in whom the intervention is more cost-effective. A structured interactive group program was proposed to a consecutive series of 150 type 2 diabetes patients, who were then followed prospectively in 24 months, with measurements of HbA1c, BMI, quality of life, eating habits. For comparison, another consecutive series of 113 patients who had received no intervention was also observed for 12 months. A significant reduction in HbA1c was observed in the intervention group at 12 and 24 months (from 7.5 ± 1.4 to 6.9 ± 1.2 and 6.6 ± 1.1% at 12 and 24 months, respectively, both P < 0.01), with no variation in BMI and quality of life. A sustained reduction in total energy, protein, and fat intake was observed after education. The proportion of success (HbA1c < 7% and/or HbA1c reduction from baseline > 1%) in the intervention group was 60.7% (vs. 38.1% in controls) and 63.3% at 12 and 24 months, respectively. In the intervention group, patients with success at 12 months showed lower baseline HbA1c, BMI, duration of diabetes, protein, and cholesterol intake. Patients with a lower duration of diabetes appear to have a greater response to structured group education, whereas age is not a predictor of response. Therefore, educational intervention should be planned in the earlier phases of the disease.