title: Individualizing treatment targets for elderly patients with type 2 diabetes: factors influencing clinical decision making in the 24-week, randomized INTERVAL study.
abstract: We tested the feasibility of setting individualized glycemic goals and factors influencing targets set in a clinical trial in elderly patients with type 2 diabetes.A 24-week, randomized, double-blind, placebo-controlled study was conducted in 45 outpatient centers in seven European countries. 278 drug-naïve or inadequately controlled (mean HbA1c 7.9%) patients with type 2 diabetes aged ≥70 years with HbA1c levels ≥7.0% and ≤10.0% were enrolled. Investigator-defined individualized HbA1c targets and the impact of baseline characteristics on individualized treatment targets was evaluated.The average individualized HbA1c target was set at 7.0%. HbA1c at baseline predicted a target setting such that higher the HbA1c, more aggressive was the target (P<0.001). Men were more likely to be set aggressive targets than women (P=0.026). Frailty status of patients showed a trend towards significance (P=0.068), whereas diabetes duration, age, or polypharmacy did not. There was heterogeneity between countries regarding how baseline factors were viewed.Despite training and guidance to individualize HbA1c goals, targets were still set in line with conventional values. A strong influence of country-specific guidelines on target setting was observed; confirming the importance of further education to implement new international guidelines in older adults.
authors.affiliation: Diabetes and Vascular Research Centre, University of Exeter Medical School, Exeter EX2 5AX, UK.
authors.forename: W David
authors.initials: WD
authors.lastname: Strain
authors.affiliation: Novartis Pharmaceuticals Corporation, East Hanover, NJ 07936-1080, USA.
authors.forename: Abhijit S
authors.initials: AS
authors.lastname: Agarwal
authors.affiliation: Novartis Pharma AG, Postfach, CH-4002 Basel, Switzerland.
authors.forename: Päivi M
authors.initials: PM
authors.lastname: Paldánius
mesh_terms: D000368:Aged; D000066491:Clinical Decision-Making; D003924:Diabetes Mellitus, Type 2 / Q000188:drug therapy*; D004311:Double-Blind Method; D005260:Female; D006801:Humans; D007004:Hypoglycemic Agents / Q000627:therapeutic use*; D008297:Male; D057285:Precision Medicine; D012737:Sex Factors
chemical_list: D007004:Hypoglycemic Agents
keywords: elderly; individualization; predictors; type 2 diabetes