Potential Value of Identifying Type 2 Diabetes Subgroups for Guiding Intensive Treatment: A Comparison of Novel Data-Driven Clustering With Risk-Driven Subgroups

To estimate the impact on lifetime health and economic outcomes of different methods of stratifying individuals with type 2 diabetes, followed by guideline-based treatment intensification targeting BMI and LDL in addition to HbA1c. We divided 2,935 newly diagnosed individuals from the Hoorn Diabetes...

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Veröffentlicht in:	Diabetes care 2023-07, Vol.46 (7), p.1395-1403
Hauptverfasser:	Li, Xinyu, van Giessen, Anoukh, Altunkaya, James, Slieker, Roderick C, Beulens, Joline W J, 't Hart, Leen M, Pearson, Ewan R, Elders, Petra J M, Feenstra, Talitha L, Leal, Jose
Format:	Artikel
Sprache:	eng
Schlagworte:	Age groups Amplification Body mass index Cardiovascular diseases Cholesterol Cluster Analysis Clustering Cost-Benefit Analysis Data analysis Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - drug therapy Glycated Hemoglobin Health economics Health risks High density lipoprotein Humans Impact analysis Low density lipoprotein Prognosis Prospective Studies Quality of life Quality-Adjusted Life Years Research design Risk assessment Risk groups Sensitivity analysis Subgroups
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