Volume 9, Issue 3 p. 428-434

PREDICTIVE™– a global, prospective observational study to evaluate insulin detemir treatment in types 1 and 2 diabetes: baseline characteristics and predictors of hypoglycaemia from the European cohort

H.-J. Lüddeke

H.-J. Lüddeke

Praxis Lüddeke/Trauner, Munich, Germany

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S. Sreenan

S. Sreenan

Department of Endocrinology, Connolly Hospital, Dublin, Ireland

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S. Aczel

S. Aczel

Abteilung für Innere Medizin, Landeskrankenhaus Feldkirch, Feldkirch, Austria

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S. Maxeiner

S. Maxeiner

Schwerpunktpraxis Bosenheim, Bad Kreuznach, Germany

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M. Yenigun

M. Yenigun

54th Clinic of Internal Medicine, Department of Endocrinology and Diabetes, Haseki Training and Research Hospital, Aksaray/Istanbul, Turkey

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P. Kozlovski

P. Kozlovski

Novo Nordisk A/S, Bagsværd, Denmark

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H. Gydesen

H. Gydesen

Novo Nordisk A/S, Bagsværd, Denmark

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A. Dornhorst

Corresponding Author

A. Dornhorst

Department of Metabolic Medicine, Imperial College, London, UK

Dr Anne Dornhorst, Department of Metabolic Medicine, Imperial College, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK.
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PREDICTIVE Study Group

PREDICTIVE Study Group

PREDICTIVE Study Group: Dr Stefan Aczel, Dr Jean Louis Chiasson, Dr Anne Dornhorst, Dr Baptist Gallwitz, Dr Francisco Hernandez, Dr Marek Honka, Dr Andrew Johnson, Dr Allen King, Dr Lena Landstedt-Hallin, Dr Bert-Jan Looij, Dr Hans-Joachim Lüddeke, Prof. Michel Marre, Dr Stephan Maxeiner, Dr Areti Philotheou, Dr Adam Robinson, Prof Seamus Sreenan, Dr Marcos Antonio Tambascia, Dr Bruce Trippe, Dr Anat Tsur, Dr Carmen Fajardo Montañana, Dr Antti Virkamäki and Prof. Mustafa Yenigun.

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First published: 14 December 2006
Citations: 66

Abstract

Aim: PREDICTIVE™ (Predictable Results and Experience in Diabetes through Intensification and Control to Target: An International Variability Evaluation) is a large, multi-national, observational study assessing the safety and efficacy of insulin detemir. We report the study design, population characteristics and baseline observations, including cross-sectional analysis, from 19 911 patients with type 1 or 2 diabetes.

Methods: Patients with type 1 or 2 diabetes requiring basal insulin are prescribed insulin detemir and followed up for 12–52 weeks. Data on demographics, haemoglobin A1c (HbA1c), fasting glucose, within-subject fasting glucose variability and weight are collected from patient records (and/or recall for hypoglycaemia). A negative binomial distribution model is used to assess the influence of predictive/confounding variables on hypoglycaemic episodes in insulin-treated patients at baseline. Multi-factorial analysis of covariance is used to evaluate the association of the variables with current body weight and within-subject fasting glucose variability.

Results: Total hypoglycaemic episodes in the 4 weeks prior to study start were 47.5 per patient-year in patients with type 1 and 9.2 per patient-year in patients with type 2 diabetes. The frequency of hypoglycaemia in insulin-treated patients showed a significant, positive association with duration of diabetes, number of insulin injections and fasting glucose variability but was inversely related to HbA1c, fasting glucose and body mass index. Weight showed a significant positive association with gender (male > female) and insulin dosage. Weight was also positively associated with fasting glucose variability in patients with type 1 diabetes, and age and number of injections in patients with type 2 diabetes.

Conclusions: These baseline data showed that, in addition to the established relationship with intensive treatment and HbA1c, frequency of hypoglycaemia was positively associated with fasting glucose variability. Follow-up data from PREDICTIVE will provide insights on insulin detemir in diabetes management.