A Validated Prediction Model for End-Stage Kidney Disease in Type 1 Diabetes

End-stage kidney disease (ESKD) is a life-threatening complication of diabetes that can be prevented or delayed by intervention. Hence, early detection of people at increased risk is essential. From a population-based cohort of 5,460 clinically diagnosed Danish adults with type 1 diabetes followed f...

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Veröffentlicht in:	Diabetes care 2021-04, Vol.44 (4), p.901-907
Hauptverfasser:	Vistisen, Dorte, Andersen, Gregers S, Hulman, Adam, McGurnaghan, Stuart J, Colhoun, Helen M, Henriksen, Jan E, Thomsen, Reimar W, Persson, Frederik, Rossing, Peter, Jørgensen, Marit E
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Adults Blood pressure Cardiovascular diseases Clinical decision making Decision making Diabetes Diabetes mellitus Diabetes mellitus (insulin dependent) Diabetes Mellitus, Type 1 - complications Diabetes Mellitus, Type 1 - epidemiology End-stage renal disease Female Glomerular Filtration Rate Glycated Hemoglobin A Hemoglobin Humans Kidney diseases Kidney Failure, Chronic - diagnosis Kidney Failure, Chronic - epidemiology Kidney Failure, Chronic - etiology Kidneys Lipids Male Middle Aged Prediction models Regression analysis Research design Risk Risk Assessment Risk Factors Statistical analysis
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