Adherence to the 2018 WCRF/AICR recommendations and sleep behaviour in people with metabolic syndrome.

OBJECTIVES: to investigate the association between the adherence to the 2018 World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) recommendations and the prevalence of parameters of sleep quality and quantity in people with metabolic syndrome (MS). DESIGN: cross-sectional study. SETTING AND PARTICIPANTS: 126 people with MS included in a randomized controlled trial of Mediterranean diet and metformin for the primary prevention of age-related chronic diseases (Me.Me.Me. study) wore for one week an actigraph called Actiwatch to assess restful sleep parameters (sleep efficiency - SE, actual sleep time - AST, immobile time - IT) and fragmented sleep parameters (moving time - MT, movement and fragmentation index - MFI, sleep latency - SL). At the baseline visit, each participants completed a 24-hour food frequency diary listing what he/she ate the previous day, and the International Physical Activity Questionnaire. These questionnaires were used to build up a score for adherence to seven relevant 2018 WCRF/AICR recommendations. MAIN OUTCOME MEASURES: the prevalence ratios (PRs) and 95% confidence intervals (CIs) of sleep parameters associated with each recommendation and with the number of met recommendations were calculated using a binomial regression model. RESULTS: the PRs for SE>=85% and IT>=84% increased with the number of met recommendations. Meeting 5-7 recommendations compared to 0-2 was associated with a better SE (PR 3.24 for SE>=85%; p=0.03) and IT (PR 1.68 for IT>=84%; p=0.04). The PRs for MFI>=34.5 and SL>=18 minutes decreased with the number of met recommendations. Meeting 5-7 recommendations compared to 0-2 was associated with a 46% lower prevalence of MFI (p=0.02) and 40% lower prevalence of SL (p=0.04). CONCLUSIONS: the findings of this paper suggest that the prevalence of better sleep quality in people with MS might be associated with closer adherence to 2018 WCRF/AICR recommendations.

Fasting blood glucose and long-term prognosis of non-metastatic breast cancer: a cohort study.

High circulating glucose has been associated with increased risk of breast cancer (BC). There may also be a link between serum glucose and prognosis in women treated for BC. We assessed the effect of peridiagnostic fasting blood glucose and body mass index (BMI) on long-term BC prognosis. We retrospectively investigated 1,261 women diagnosed and treated for stage I-III BC at the National Cancer Institute, Milan, in 1996, 1999 and 2000. Data on blood tests and follow-up were obtained by linking electronic archives, with follow-up to end of 2009. Multivariate Cox modelling estimated hazard ratios (HR) with 95 % confidence intervals (CI) for distant metastasis, recurrence and death (all causes) in relation to categorized peridiagnostic fasting blood glucose and BMI. Mediation analysis investigated whether blood glucose mediated the BMI-breast cancer prognosis association. The risks of distant metastasis were significantly higher for all other quintiles compared to the lowest glucose quintile (reference <87 mg/dL) (respective HRs: 1.99 95 % CI 1.23-3.24, 1.85 95 % CI 1.14-3.0, 1.73 95 % CI 1.07-2.8, and 1.91 95 % CI 1.15-3.17). The risk of recurrence was significantly higher for all other glucose quintiles compared to the first. The risk of death was significantly higher than reference in the second, fourth and fifth quintiles. Women with BMI ≥ 25 kg/m(2) had significantly greater risks of recurrence and distant metastasis than those with BMI < 25 kg/m(2), irrespective of blood glucose. The increased risks remained invariant over a median follow-up of 9.5 years. Mediation analysis indicated that glucose and BMI had independent effects on BC prognosis. Peridiagnostic high fasting glucose and obesity predict worsened short- and long-term outcomes in BC patients. Maintaining healthy blood glucose levels and normal weight may improve prognosis.

A management system for randomized clinical trials: A novel way to supply medication.

BACKGROUND: Randomized controlled clinical trials require management effort, involving huge organizational, economic and informatics investments. Information technology offers opportunities to approach clinical trial methodology in new ways. However, there are only a few reports of computerized data and drug management systems. OBJECTIVE: This paper describes a novel software created specifically for the management of a randomized trial of diet and metformin in people with metabolic syndrome (the Me.Me.Me. trial). METHODS: Me.Me.Me. is an ongoing phase III randomized controlled trial in healthy people with metabolic syndrome to test the hypothesis that comprehensive lifestyle changes and/or metformin can prevent age-related chronic non-communicable diseases. To manage all the phases of the trial, we created a software which is a state pattern machine, user friendly, web-based, able to maintain the correct balance between randomization groups, and structured in various levels of security in order to guarantee the participant's privacy and compliance with the study protocol. The software achieves budget savings: drug management is not based on patients' packs, but on the actual need for drugs according to each participant's "state", with strict guidelines for the handling and supply of medication. RESULTS: The trial is ongoing and recruitment will close on August 31, 2018. To date, 11737 bottles of metformin/placebo have been dispensed to 1054 randomized participants, with drug savings of 29.5%. CONCLUSIONS: A software which takes into account the "state" of participant might be a powerful resource for developing and managing clinical trials, helping avoid poor treatment allocation, and wastage of drugs and money. ME.ME.ME. TRIAL: EUDRACT no. 2012-005427-32. ClinicalTrials.gov Identifier: NCT02960711.

Relationships between plasma insulin-like growth factor-I and insulin-like growth factor binding protein-3 and second breast cancer risk in a prevention trial of fenretinide.

PURPOSE: High circulating insulin-like growth factor (IGF) -I and/or low IGF-binding protein (IGFBP) -3 levels are associated with increased breast cancer risk in unaffected premenopausal women. We determined whether IGF-I and IGFBP-3 predict second breast cancer risk, and whether their changes during fenretinide explain observed reductions in second breast cancer in women

Fenretinide breast cancer prevention trial: drug and retinol plasma levels in relation to age and disease outcome.

OBJECTIVES: To assess, in women participating in a breast cancer prevention trialon fenretinide (4-HPR), the relationship of drug and retinol levels with the risk of second breast malignancy, taking into account age and menopausal status. METHODS: In a multicenter prevention trial, women with early breast cancer were randomly assigned to receive no treatment or 200 mg of 4-HPR/day for 5 years. Blood was collected at baseline and on a yearly basis during intervention from women recruited at the Istituto Tumori (Milan, Italy; 818 and 756 in the 4-HPR and control arm, respectively, who accounted for 53% of the participants in the trial). The plasma concentrations of 4-HPR, its main metabolite N-(4-methoxyphenyl) retinamide, and retinol were assayed by high-performance liquid chromatography. Three age ranges (or=56 years), menopausal status at baseline, and disease outcome at a median follow-up of 97 months were taken into account in the analysis. RESULTS: Baseline retinol levels were significantly lower (P or=46 years versus or= 0.71; P