Prediction of treatment response in patients with newly diagnosed type 2 diabetes: The Skaraborg diabetes register

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Abstract

Aims: Type 2 diabetes is associated with cardiovascular complications. It is largely unknown which patients have poor treatment response and high complication risk; biomarkers are studied for this purpose. The aim of the study was to investigate the association between clinical factors such as HbA1c, level of biomarkers (C-peptide, copeptin) at diagnosis and changes in HbA1c, blood pressure or body mass index (BMI) after five years. Methods: Clinical data and blood samples from 460 newly diagnosed type 2 diabetes patients from the Skaraborg diabetes register (SDR) at diagnosis and after 5. years and were analyzed with linear and logistic regressions. Results: High BMI at diagnosis and smoking were associated with less reduction of HbA1c i.e. poorer treatment outcome after 5. years. A high HbA1c at baseline predicted a greater reduction of HbA1c and need for insulin treatment. High systolic blood pressure and BMI at baseline were associated with greater reduction.The biomarkers were not associated with increase of blood pressure, HbA1c, BMI or need for insulin treatment. Conclusions: Smokers and patients with high HbA1c at diagnosis respond poorer to treatment over 5. years. This highlights the importance of advice for non-smoking and weight reduction and more intensive treatment over time.

Original languageEnglish
Pages (from-to)854-858
JournalJournal of Diabetes and its Complications
Volume31
Issue number5
DOIs
Publication statusPublished - 2017

Subject classification (UKÄ)

  • Endocrinology and Diabetes

Keywords

  • Biomarkers
  • Primary health care
  • Prognosis
  • Treatment outcome
  • Type 2 diabetes mellitus

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