2024 · Journal of diabetes science and technology · paywalled
Bedtime Prediction of Nocturnal Hypoglycemia in Insulin-Treated Type 2 Diabetes Patients
Kronborg et al.
The finding, in our words
A logistic regression model using evening CGM glucose values and daytime trends predicted nocturnal hypoglycaemia with an AUC of 0.82 and accuracy of 0.79 in insulin-treated type 2 diabetes patients. Such a bedside warning could allow patients to take preventive action.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
Transitioning from SMBG to rtCGM while using the mySugr app improved glycaemic control across the cohort, with benefits sustained over six months; new users of the app showed the greatest improvements, and people with type 1 diabetes experienced a larger reduction in glucose variability whereas those with type 2 showed a relatively larger decrease in average glucose.
The review describes how continuous glucose monitoring systems are being adopted in Indian diabetes clinics, showing that real-time glucose data improves patient engagement and supports evidence-based decisions. For decentralised diagnostics, this demonstrates the practical value of patient-centric wearable sensors in routine care and emphasises that training and communication are critical for successful implementation.
Kesavadev et al., Therapeutic advances in endocrinology and metabolism · source ↗
Decentralised monitoring of people with type 2 diabetes using continuous glucose monitoring and a hybrid smartwatch was feasible, with high participant retention and successful collection of glucose, heart rate, activity, sleep and GPS data via a study app.
Ali et al., Journal of diabetes science and technology (paywalled) · source ↗
In a crossover trial of 23 adults with newly diagnosed type 2 diabetes, a personalised diet based on predicted postprandial glucose responses improved continuous glucose monitoring measures significantly more than a Mediterranean diet, including lower average postprandial glucose response and less time in hyperglycaemia. A six-month follow-up of the personalised diet further improved glycaemic control and metabolic health, supporting its clinical utility for decentralised diabetes management.
Post-menopausal women showed higher fasting glucose, HbA1c and inflammation, along with poorer glycaemic variability and time in range, compared to pre-menopausal women. These findings highlight the value of continuous glucose monitoring in decentralised diagnostics for identifying metabolic risks in mid-life women.