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Randomized Controlled Trial
. 2021 May;44(5):1203-1210.
doi: 10.2337/dc20-2372. Epub 2021 Mar 11.

Type 2 Diabetes Subgroups, Risk for Complications, and Differential Effects Due to an Intensive Lifestyle Intervention

Affiliations
Randomized Controlled Trial

Type 2 Diabetes Subgroups, Risk for Complications, and Differential Effects Due to an Intensive Lifestyle Intervention

Michael P Bancks et al. Diabetes Care. 2021 May.

Abstract

Objective: We reevaluated the Action for Health in Diabetes (Look AHEAD) intervention, incorporating diabetes subgroups, to identify whether intensive lifestyle intervention (ILI) is associated with differential risk for cardiovascular disease (CVD) by diabetes subgroup.

Research design and methods: In the Look AHEAD trial, 5,145 participants, aged 45-76 years, with type 2 diabetes (T2D) and overweight or obesity were randomly assigned to 10 years of ILI or a control condition of diabetes support and education. The ILI focused on weight loss through decreased caloric intake and increased physical activity. To characterize diabetes subgroups, we applied k-means clustering to data on age of diabetes diagnosis, BMI, waist circumference, and glycated hemoglobin. We examined whether relative intervention effects on the trial's prespecified CVD outcomes varied among diabetes subgroups.

Results: We characterized four subgroups related to older age at diabetes onset (42% of sample), poor glucose control (14%), severe obesity (24%), and younger age at diabetes onset (20%). We observed interactions (all P < 0.05) between intervention and diabetes subgroups for three separate composite cardiovascular outcomes. Randomization to ILI was associated with increased risk for each cardiovascular outcome only among the poor-glucose-control subgroup (hazard ratio >1.32). Among the three other diabetes subgroups, ILI was not associated with increased risk for CVD.

Conclusions: Among overweight and obese adults with T2D, a lifestyle intervention was associated with differential risk for CVD that was dependent on diabetes subgroup. Diabetes subgroups may be important to identify the patients who would achieve benefit and avoid harm from an ILI.

Trial registration: ClinicalTrials.gov NCT00017953.

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Figures

Figure 1
Figure 1
Forest plot of HRs and 95% CIs for the ILI in the Look AHEAD trial primary and secondary outcomes stratified by diabetes subgroup. Older onset, older age at diabetes onset; younger onset, younger age at diabetes onset.
Figure 2
Figure 2
Cumulative hazard curves for the primary cardiovascular composite end point according to intervention arm and diabetes subgroup (inset includes expanded y-axis). Gluc. cont., glucose control; older onset, older age at diabetes onset; younger onset, younger age at diabetes onset.

References

    1. Wing RR, Bolin P, Brancati FL, et al. .; Look AHEAD Research Group . Cardiovascular effects of intensive lifestyle intervention in type 2 diabetes. N Engl J Med 2013;369:145–154 - PMC - PubMed
    1. Pi-Sunyer X, Blackburn G, Brancati FL, et al. .; Look AHEAD Research Group . Reduction in weight and cardiovascular disease risk factors in individuals with type 2 diabetes: one-year results of the look AHEAD trial. Diabetes Care 2007;30:1374–1383 - PMC - PubMed
    1. Look AHEAD Research Group . Eight-year weight losses with an intensive lifestyle intervention: the look AHEAD study. Obesity (Silver Spring) 2014;22:5–13 - PMC - PubMed
    1. American Diabetes Association . Introduction: Standards of Medical Care in Diabetes—2020. Diabetes Care 2020;43(Suppl. 1):S1–S2 - PubMed
    1. Li L, Cheng W-Y, Glicksberg BS, et al. . Identification of type 2 diabetes subgroups through topological analysis of patient similarity. Sci Transl Med 2015;7:311ra174 - PMC - PubMed

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