Literature DB >> 26946450

Effectiveness of insulin therapy in people with Type 2 diabetes in the Hoorn Diabetes Care System.

M R Mast1,2, I Walraven1,3,4, T Hoekstra1,3,5, A P D Jansen1,6, A A W A van der Heijden1,6, P J M Elders1,6, R J Heine7, J M Dekker1,3, G Nijpels1,6, J G Hugtenburg1,2.   

Abstract

AIMS: To identify HbA1c trajectories after the start of insulin treatment and to identify clinically applicable predictors of the response to insulin therapy.
METHODS: The study population comprised 1203 people with Type 2 diabetes included in the Hoorn Diabetes Care System (n = 9849). Inclusion criteria were: age ≥ 40 years; initiation of insulin during follow-up after failure to reach HbA1c levels ≤ 53 mmol/mol (7%) with oral glucose-lowering agents; and a follow up ≥ 2 years after initiating insulin. Latent class growth modelling was used to identify trajectories of HbA1c . Subjects considered to be 'off target' had HbA1c levels ≥ 53 mmol/mol (7.0%) during one-third or more of the follow-up time, and those considered to be 'on target' had HbA1c levels ≥ 53 mmol/mol (7.0%) during less than one-third of the follow-up time.
RESULTS: Four HbA1c trajectories were identified. Most people (88.7%) were classified as having a stable HbA1c trajectory of ~57 mmol/mol (7.4%). Only 24.4% of the people were on target in response to insulin; this was associated with lower HbA1c levels and a higher age at the start of insulin treatment.
CONCLUSIONS: Using latent class growth modelling, four HbA1c trajectories were identified. A quarter of the people starting insulin were on target. Low HbA1c levels and advanced age at the start of insulin therapy were associated with better response to insulin therapy. Initiating insulin earlier improves the likelihood of achieving and sustaining glycaemic control.
© 2016 Diabetes UK.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 26946450     DOI: 10.1111/dme.13110

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  3 in total

1.  Longitudinal trends in HbA1c patterns and association with outcomes: A systematic review.

Authors:  Miyang Luo; Kristin Hui Xian Tan; Chuen Seng Tan; Wei Yen Lim; E-Shyong Tai; Kavita Venkataraman
Journal:  Diabetes Metab Res Rev       Date:  2018-05-22       Impact factor: 4.876

2.  HbA1c response after insulin initiation in patients with type 2 diabetes mellitus in real life practice: Identifying distinct subgroups.

Authors:  Grigory Sidorenkov; Job F M van Boven; Trynke Hoekstra; Giel Nijpels; Klaas Hoogenberg; Petra Denig
Journal:  Diabetes Obes Metab       Date:  2018-05-24       Impact factor: 6.577

3.  Predicting short- and long-term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine-learning algorithms.

Authors:  Sunil B Nagaraj; Grigory Sidorenkov; Job F M van Boven; Petra Denig
Journal:  Diabetes Obes Metab       Date:  2019-09-30       Impact factor: 6.577

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.