M. Evans
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
M. Evans has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
B. R. King
John Hunter Children's Hospital Newcastle NSW Australia
2 shared publications- Carmel E. Smart
Paediatric Endocrinology and Diabetes, John Hunter Children’s Hospital
2 shared publications E. A. Davis
Princess Margaret Hospital for Children Perth WA Australia
2 shared publicationsT. W. Jones
Princess Margaret Hospital for Children Perth WA Australia
2 shared publicationsG. J. Smith
Telethon Kids Institute University of Western Australia Perth WA Australia
1 shared publicationK. Bell
University of Sydney NSW Australia
1 shared publication
Latest Publications
- 7 December 2018
- Published by Wiley in Diabetic Medicine
- Vol. 36 (4) , 499-504
Dietary protein affects both the dose and pattern of insulin delivery required to achieve postprandial euglycaemia in Type 1 diabetes: a randomized trial
Aim: To quantify the insulin requirement for a high‐protein meal compared with a low‐protein meal, controlling for carbohydrate and fat content.Methods: In this crossover study, young people with Type 1 diabetes were randomized to consume a high‐ (60 g) or low‐protein meal (5 g), each containing 30 g carbohydrate and 8 g fat. A variation of the insulin clamp technique was used to determine the insulin requirements to maintain euglycaemia for the following 5 h.Results: A total of 11 participants (mean ± sd age 16.5 ± 2.7 years, HbA1c 52 ± 8.7 mmol/mol [6.9 ± 0.8%], diabetes duration 6.9±5.1 years) completed the study. The mean insulin requirements for the high‐protein meal were higher than for the low‐protein meal [10.3 (CI 8.2, 12.57) vs 6.7 units (CI 4.7, 8.8); P=0.001], with inter‐individual requirements ranging from 0.9 to six times the low‐protein meal requirement. Approximately half the additional insulin [1.1 units/h (CI 0.5, 1.8; P=0.001)] was given in the first 2 h, compared with an additional 0.5 units/h (CI –0.2, 1.2; P=0.148) in the second 2 h and 0.1 units (CI –0.6, 0.8; P=0.769) in the final hour.Conclusions: A high‐protein meal requires ~50% more insulin to maintain euglycaemia than a low‐protein meal that contains the same quantity of carbohydrate. The majority is required within the first 2 h. Inter‐individual differences exist in insulin requirements for dietary protein.
- 7 December 2018
- Published by Wiley in Diabetic Medicine
- Vol. 36 (4) , 499-504
Dietary protein affects both the dose and pattern of insulin delivery required to achieve postprandial euglycaemia in Type 1 diabetes: a randomized trial
Aim: To quantify the insulin requirement for a high‐protein meal compared with a low‐protein meal, controlling for carbohydrate and fat content.Methods: In this crossover study, young people with Type 1 diabetes were randomized to consume a high‐ (60 g) or low‐protein meal (5 g), each containing 30 g carbohydrate and 8 g fat. A variation of the insulin clamp technique was used to determine the insulin requirements to maintain euglycaemia for the following 5 h.Results: A total of 11 participants (mean ± sd age 16.5 ± 2.7 years, HbA1c 52 ± 8.7 mmol/mol [6.9 ± 0.8%], diabetes duration 6.9±5.1 years) completed the study. The mean insulin requirements for the high‐protein meal were higher than for the low‐protein meal [10.3 (CI 8.2, 12.57) vs 6.7 units (CI 4.7, 8.8); P=0.001], with inter‐individual requirements ranging from 0.9 to six times the low‐protein meal requirement. Approximately half the additional insulin [1.1 units/h (CI 0.5, 1.8; P=0.001)] was given in the first 2 h, compared with an additional 0.5 units/h (CI –0.2, 1.2; P=0.148) in the second 2 h and 0.1 units (CI –0.6, 0.8; P=0.769) in the final hour.Conclusions: A high‐protein meal requires ~50% more insulin to maintain euglycaemia than a low‐protein meal that contains the same quantity of carbohydrate. The majority is required within the first 2 h. Inter‐individual differences exist in insulin requirements for dietary protein.
- 5 June 2018
- Published by Wiley in Diabetic Medicine
- Vol. 35 (10) , 1440-1447
A randomized comparison of three prandial insulin dosing algorithms for children and adolescents with Type 1 diabetes
Aim: To compare systematically the impact of two novel insulin‐dosing algorithms (the Pankowska Equation and the Food Insulin Index) with carbohydrate counting on postprandial glucose excursions following a high fat and a high protein meal.Methods: A randomized, crossover trial at two Paediatric Diabetes centres was conducted. On each day, participants consumed a high protein or high fat meal with similar carbohydrate amounts. Insulin was delivered according to carbohydrate counting, the Pankowska Equation or the Food Insulin Index. Subjects fasted for 5 h following the test meal and physical activity was standardized. Postprandial glycaemia was measured for 300 min using continuous glucose monitoring.Results: 33 children participated in the study. When compared to carbohydrate counting, the Pankowska Equation resulted in lower glycaemic excursion for 90–240 min after the high protein meal (p < 0.05) and lower peak glycaemic excursion (p < 0.05). The risk of hypoglycaemia was significantly lower for carbohydrate counting and the Food Insulin Index compared to the Pankowska Equation (OR 0.76 carbohydrate counting vs. the Pankowska Equation and 0.81 the Food Insulin Index vs. the Pankowska Equation). There was no significant difference in glycaemic excursions when carbohydrate counting was compared to the Food Insulin Index.Conclusion: The Pankowska Equation resulted in reduced postprandial hyperglycaemia at the expense of an increase in hypoglycaemia. There were no significant differences when carbohydrate counting was compared to the Food Insulin Index. Further research is required to optimize prandial insulin dosing.
- 5 June 2018
- Published by Wiley in Diabetic Medicine
- Vol. 35 (10) , 1440-1447
A randomized comparison of three prandial insulin dosing algorithms for children and adolescents with Type 1 diabetes
Aim: To compare systematically the impact of two novel insulin‐dosing algorithms (the Pankowska Equation and the Food Insulin Index) with carbohydrate counting on postprandial glucose excursions following a high fat and a high protein meal.Methods: A randomized, crossover trial at two Paediatric Diabetes centres was conducted. On each day, participants consumed a high protein or high fat meal with similar carbohydrate amounts. Insulin was delivered according to carbohydrate counting, the Pankowska Equation or the Food Insulin Index. Subjects fasted for 5 h following the test meal and physical activity was standardized. Postprandial glycaemia was measured for 300 min using continuous glucose monitoring.Results: 33 children participated in the study. When compared to carbohydrate counting, the Pankowska Equation resulted in lower glycaemic excursion for 90–240 min after the high protein meal (p < 0.05) and lower peak glycaemic excursion (p < 0.05). The risk of hypoglycaemia was significantly lower for carbohydrate counting and the Food Insulin Index compared to the Pankowska Equation (OR 0.76 carbohydrate counting vs. the Pankowska Equation and 0.81 the Food Insulin Index vs. the Pankowska Equation). There was no significant difference in glycaemic excursions when carbohydrate counting was compared to the Food Insulin Index.Conclusion: The Pankowska Equation resulted in reduced postprandial hyperglycaemia at the expense of an increase in hypoglycaemia. There were no significant differences when carbohydrate counting was compared to the Food Insulin Index. Further research is required to optimize prandial insulin dosing.