Articles: glycaemia.
-
Background and Objectives: Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease affecting an estimated 537 million individuals worldwide. 'Superfoods' can be integrated into the diet of T2DM patients due to their health benefits. Study Objectives: (i) To carry out a narrative review of 'superfoods' with the potential to reduce glycaemic levels in T2DM patients (2019 to 2022), (ii) to identify 'superfoods' with the potential to reduce HbA1c and (iii) to propose new guidance on the use of 'superfoods'. Materials and Methods: A narrative review was carried out using the databases PubMed, SciELO, DOAJ and Google Scholar. ⋯ Conclusion: It is recommended that the identified 'superfoods' are included in the diet of T2DM patients, although this should not substitute an appropriate diet and exercise plan. In particular, yoghurts and an increased fibre intake (by 15 g or up to 35 g) can be used as nutraceuticals. New recommendations on the introduction of 'superfoods' in the diet of T2DM patients have been proposed.
-
Observational Study
Glycaemic profile of children undergoing anaesthesia (GLYCANA) at Mercy James Centre in Malawi: an observational study.
Hypoglycaemia and hyperglycaemia may develop during anaesthesia and surgery in children and can lead to severe adverse clinical outcomes. No study, as far as we know, has investigated glucose homeostasis in children undergoing surgery in Malawi. The aim of this study was to assess perioperative glucose levels of the children undergoing anaesthesia at Mercy James Centre (MJC) for Paediatric Surgery, Blantyre, Malawi. ⋯ Glycaemia increases under anaesthesia and surgery. Recommended fasting times, optimising nutritional status, when possible, no dextrose or lower than 2.5% dextrose in IV maintenance fluid are possible strategies to maintain blood sugar homeostasis during paediatric surgery and anaesthesia.
-
Background and Objectives: Hyperbaric oxygen is a recognised treatment for a range of medical conditions, including treatment of diabetic foot disease. A number of studies have reported an impact of hyperbaric oxygen treatment on glycaemic control in patients undergoing treatment for diabetic foot disease. There has been no systematic review considering the impact of hyperbaric oxygen on glycaemia in people with diabetes. ⋯ Two articles also identified a statistically significant reduction in HbA1c following hyperbaric oxygen treatment. Conclusions: There is emerging evidence suggesting a reduction in glycaemia following hyperbaric oxygen treatment in patients with diabetes mellitus, but the existing studies are in relatively small cohorts and potentially underpowered. Additional large prospective clinical trials are required to understand the precise impact of hyperbaric oxygen treatment on glycaemia for people with diabetes mellitus.
-
Eur. J. Clin. Invest. · Mar 2021
Serum osteopontin predicts glycemic profile improvement in metabolic syndrome: a pilot study.
Prediabetes is often observed in patients with Metabolic Syndrome (MetS) and might be associated with metabolic and inflammatory alterations. Here, we investigated whether the inflammatory molecule osteopontin (OPN) might have a prognostic impact in a cohort of MetS patients (n = 85) with baseline normal glycaemia or impaired fasting glucose (IFG) over one year of recommended pharmacological treatments and Mediterranean diet. Patients were then followed up for 12 months with intermediate evaluation after 6 months. ⋯ In conclusion, pharmacological and dietetic interventions improved glycaemic profile in patients with MetS. In particular, glycaemic improvement was demonstrated in patients who also reduce circulating OPN levels. Higher OPN levels at baseline predict normalization of glycaemic profile.
-
Stud Health Technol Inform · Sep 2020
Direct Versus Iterated Multi-Step Forecasting of Glycaemia in Type 1 Diabetics Using Autoregressive Models.
The paper compares two approaches to multi-step ahead glycaemia forecasting. While the direct approach uses a different model for each number of steps ahead, the iterative approach applies one one-step ahead model iteratively. ⋯ This paper provides such comparison for different ARX models and shows that the iterative approach outperformed the direct method for one-hour ahead (12-steps ahead) forecasting. Moreover, the classical linear ARX model outperformed more complex non-linear versions for training data covering one-month period.