Toggle Main Menu Toggle Search

Open Access padlockePrints

Predictive and Explanatory Factors of Change in HbA1c in a 24-Week Observational Study of 66,726 People With Type 2 Diabetes Starting Insulin Analogs

Lookup NU author(s): Emeritus Professor Philip Home

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

OBJECTIVEIndividualization of therapy choices requires the prediction of likely response. Predictor and explanatory factors of change in HbA(1c) were studied using data from a large observational study of starting insulin analog therapy (the A(1)chieve study).RESEARCH DESIGN AND METHODSUnivariate analyses were performed for insulin-naive people and prior insulin users in the A(1)chieve study. Statistically significant factors were carried forward to baseline factor-only multivariate analyses (predictor analysis), and separately using all significant factors (explanatory analysis). Power was considered in terms of the variance explained.RESULTSGeographical region, baseline HbA(1c) level, lipid levels, and baseline insulin dose were the most powerful predictors of HbA(1c) change (mean change -2.1% [-23 mmol/mol]) observed in the univariate analysis (r(2) > 0.010, P < 0.001). However, although the predictor and explanatory multivariate models explained 62-82% of the variance in HbA(1c) change, this was mainly associated with baseline HbA(1c) (r(2) = 0.544-0.701) and region (r(2) = 0.014-0.037). Other factors were statistically significant but had low predictive power (r(2) < 0.010); in the explanatory analysis, this included end-of-study hypoglycemia (insulin-naive group), insulin dose, and health-related quality of life (r(2) < 0.001-0.006, P 0.007).CONCLUSIONSMany factors can guide clinicians in predicting the response to starting therapy with insulin analogs, but many are interdependent and thus of poor utility. The factor explaining most of the variance in HbA(1c) change is baseline HbA(1c) level, with each increase of 1.0%-units (11 mmol/mol) providing a 0.7-0.8%-units (8-9 mmol/mol) greater fall. Other factors do not explain much of the remaining variance, even when including all end-of-trial measures.


Publication metadata

Author(s): Home PD, Shen CD, Hasan MI, Latif ZA, Chen JW, Galvez GG

Publication type: Article

Publication status: Published

Journal: Diabetes Care

Year: 2014

Volume: 37

Issue: 5

Pages: 1237-1245

Print publication date: 01/05/2014

Acceptance date: 02/04/2014

ISSN (print): 0149-5992

ISSN (electronic): 1935-5548

Publisher: American Diabetes Association

URL: http://dx.doi.org/10.2337/dc13-2413

DOI: 10.2337/dc13-2413


Altmetrics

Altmetrics provided by Altmetric


Share