scholarly journals Long-Term Complications and Mortality in Young-Onset Diabetes: Type 2 diabetes is more hazardous and lethal than type 1 diabetes

Diabetes Care ◽  
2013 ◽  
Vol 36 (12) ◽  
pp. 3863-3869 ◽  
Author(s):  
M. I. Constantino ◽  
L. Molyneaux ◽  
F. Limacher-Gisler ◽  
A. Al-Saeed ◽  
C. Luo ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Diabetes Type 2 ◽  
Diabetes Type ◽  
Young Onset ◽  
Onset Diabetes ◽  
Complications And Mortality

Diabetes

2020 ◽  
pp. 493-518
Keyword(s):  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Glycaemic Control ◽  
Diabetes Type 2 ◽  
Diabetes Type ◽  
Children And Young People ◽  
Structured Education ◽  
P Type

type 1 diabetes, type 2 diabetes, Hypoglycaemia, Structured education, Weight management and monitoring glycaemic control, pregnancy, children, and young people, elderly

scholarly journals Development and validation of a prediction model for insulin-associated hypoglycemia in non-critically ill hospitalized adults

2018 ◽  
Vol 6 (1) ◽  
pp. e000499 ◽  
Author(s):  
Nestoras Nicolas Mathioudakis ◽  
Estelle Everett ◽  
Shuvodra Routh ◽  
Peter J Pronovost ◽  
Hsin-Chieh Yeh ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Prediction Models ◽  
Diabetes Type 2 ◽  
Diabetes Type ◽  
C Statistic ◽  
Clinically Significant ◽  
Development And Validation

ObjectiveTo develop and validate a multivariable prediction model for insulin-associated hypoglycemia in non-critically ill hospitalized adults.Research design and methodsWe collected pharmacologic, demographic, laboratory, and diagnostic data from 128 657 inpatient days in which at least 1 unit of subcutaneous insulin was administered in the absence of intravenous insulin, total parenteral nutrition, or insulin pump use (index days). These data were used to develop multivariable prediction models for biochemical and clinically significant hypoglycemia (blood glucose (BG) of ≤70 mg/dL and <54 mg/dL, respectively) occurring within 24 hours of the index day. Split-sample internal validation was performed, with 70% and 30% of index days used for model development and validation, respectively.ResultsUsing predictors of age, weight, admitting service, insulin doses, mean BG, nadir BG, BG coefficient of variation (CVBG), diet status, type 1 diabetes, type 2 diabetes, acute kidney injury, chronic kidney disease (CKD), liver disease, and digestive disease, our model achieved a c-statistic of 0.77 (95% CI 0.75 to 0.78), positive likelihood ratio (+LR) of 3.5 (95% CI 3.4 to 3.6) and negative likelihood ratio (−LR) of 0.32 (95% CI 0.30 to 0.35) for prediction of biochemical hypoglycemia. Using predictors of sex, weight, insulin doses, mean BG, nadir BG, CVBG, diet status, type 1 diabetes, type 2 diabetes, CKD stage, and steroid use, our model achieved a c-statistic of 0.80 (95% CI 0.78 to 0.82), +LR of 3.8 (95% CI 3.7 to 4.0) and −LR of 0.2 (95% CI 0.2 to 0.3) for prediction of clinically significant hypoglycemia.ConclusionsHospitalized patients at risk of insulin-associated hypoglycemia can be identified using validated prediction models, which may support the development of real-time preventive interventions.

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