The Legacy Effect in Type 2 Diabetes: Impact of Early Glycemic Control on Future Complications (The Diabetes & Aging Study)

Neda Laiteerapong, Sandra A Ham, Yue Gao, Howard H Moffet, Jennifer Y Liu, Elbert S Huang, Andrew J Karter, Neda Laiteerapong, Sandra A Ham, Yue Gao, Howard H Moffet, Jennifer Y Liu, Elbert S Huang, Andrew J Karter

Abstract

Objective: To examine for a legacy effect of early glycemic control on diabetic complications and death.

Research design and methods: This cohort study of managed care patients with newly diagnosed type 2 diabetes and 10 years of survival (1997-2013, average follow-up 13.0 years, N = 34,737) examined associations between HbA1c <6.5% (<48 mmol/mol), 6.5% to <7.0% (48 to <53 mmol/mol), 7.0% to <8.0% (53 to <64 mmol/mol), 8.0% to <9.0% (64 to <75 mmol/mol), or ≥9.0% (≥75 mmol/mol) for various periods of early exposure (0-1, 0-2, 0-3, 0-4, 0-5, 0-6, and 0-7 years) and incident future microvascular (end-stage renal disease, advanced eye disease, amputation) and macrovascular (stroke, heart disease/failure, vascular disease) events and death, adjusting for demographics, risk factors, comorbidities, and later HbA1c.

Results: Compared with HbA1c <6.5% (<48 mmol/mol) for the 0-to-1-year early exposure period, HbA1c levels ≥6.5% (≥48 mmol/mol) were associated with increased microvascular and macrovascular events (e.g., HbA1c 6.5% to <7.0% [48 to <53 mmol/mol] microvascular: hazard ratio 1.204 [95% CI 1.063-1.365]), and HbA1c levels ≥7.0% (≥53 mmol/mol) were associated with increased mortality (e.g., HbA1c 7.0% to <8.0% [53 to <64 mmol/mol]: 1.290 [1.104-1.507]). Longer periods of exposure to HbA1c levels ≥8.0% (≥64 mmol/mol) were associated with increasing microvascular event and mortality risk.

Conclusions: Among patients with newly diagnosed diabetes and 10 years of survival, HbA1c levels ≥6.5% (≥48 mmol/mol) for the 1st year after diagnosis were associated with worse outcomes. Immediate, intensive treatment for newly diagnosed patients may be necessary to avoid irremediable long-term risk for diabetic complications and mortality.

© 2018 by the American Diabetes Association.

Figures

Figure 1
Figure 1
Definitions of early exposure periods and subsequent follow-up periods for the research design.
Figure 2
Figure 2
A: Microvascular events (vs. HbA1c <6.5% [<48 mmol/mol]). B: Macrovascular events (vs. HbA1c <6.5% [<48 mmol/mol]). C: Mortality (vs. HbA1c <6.5% [<48 mmol/mol]). HRs adjusted for year of diagnosis, age at diagnosis, sex, race/ethnicity, BMI, systolic and diastolic blood pressure, total cholesterol, HDL cholesterol, smoking status, HbA1c after each early exposure period, and comorbidity.

References

    1. Holman RR, Paul SK, Bethel MA, Matthews DR, Neil HA. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med 2008;359:1577–1589
    1. de Boer IH, Rue TC, Cleary PA, et al. .; Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study Research Group . Long-term renal outcomes of patients with type 1 diabetes mellitus and microalbuminuria: an analysis of the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications cohort. Arch Intern Med 2011;171:412–420
    1. Nathan DM, Cleary PA, Backlund JY, et al. .; Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Study Research Group . Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes. N Engl J Med 2005;353:2643–2653
    1. Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) Study Research Group Intensive diabetes treatment and cardiovascular outcomes in type 1 diabetes: the DCCT/EDIC study 30-year follow-up. Diabetes Care 2016;39:686–693
    1. Chalmers J, Cooper ME. UKPDS and the legacy effect. N Engl J Med 2008;359:1618–1620
    1. Laiteerapong N, Karter AJ, Moffet HH, et al. . Ten-year hemoglobin A1c trajectories and outcomes in type 2 diabetes mellitus: The Diabetes & Aging Study. J Diabetes Complications 2017;31:94–100
    1. Karter AJ, Parker MM, Moffet HH, et al. . Missed appointments and poor glycemic control: an opportunity to identify high-risk diabetic patients. Med Care 2004;42:110–115
    1. Karter AJ, Ferrara A, Liu JY, Moffet HH, Ackerson LM, Selby JV. Ethnic disparities in diabetic complications in an insured population. JAMA 2002;287:2519–2527
    1. Karter AJ, Schillinger D, Adams AS, et al. . Elevated rates of diabetes in Pacific Islanders and Asian subgroups: The Diabetes Study of Northern California (DISTANCE). Diabetes Care 2013;36:574–579
    1. Huang ES, Liu JY, Moffet HH, John PM, Karter AJ. Glycemic control, complications, and death in older diabetic patients: The Diabetes and Aging Study. Diabetes Care 2011;34:1329–1336
    1. Huang ES, Laiteerapong N, Liu JY, John PM, Moffet HH, Karter AJ. Rates of complications and mortality in older patients with diabetes mellitus: The Diabetes and Aging Study. JAMA Intern Med 2014;174:251–258
    1. Karter AJ, Nundy S, Parker MM, Moffet HH, Huang ES. Incidence of remission in adults with type 2 diabetes: The Diabetes & Aging Study. Diabetes Care 2014;37:3188–3195
    1. Lipska KJ, Warton EM, Huang ES, et al. . HbA 1c and risk of severe hypoglycemia in type 2 diabetes: The Diabetes and Aging Study. Diabetes Care 2013;36:3535–3542
    1. Sacks DB. A1C versus glucose testing: a comparison. Diabetes Care 2011;34:518–523
    1. Sacks DB, John WG. Interpretation of hemoglobin A1c values. JAMA 2014;311:2271–2272
    1. NGSP Factors that interfere with HbA1c test results [Internet], 2017. Available from . Accessed 2 January 2018
    1. Charlson M, Szatrowski TP, Peterson J, Gold J. Validation of a combined comorbidity index. J Clin Epidemiol 1994;47:1245–1251
    1. Paul SK, Klein K, Thorsted BL, Wolden ML, Khunti K. Delay in treatment intensification increases the risks of cardiovascular events in patients with type 2 diabetes. Cardiovasc Diabetol 2015;14:100.
    1. Osataphan S, Chalermchai T, Ngaosuwan K. Clinical inertia causing new or progression of diabetic retinopathy in type 2 diabetes: a retrospective cohort study. J Diabetes 2017;9:267–274
    1. Brownlee M. Biochemistry and molecular cell biology of diabetic complications. Nature 2001;414:813–820
    1. Ceriello A, Ihnat MA, Thorpe JE. Clinical review 2: the “metabolic memory”: is more than just tight glucose control necessary to prevent diabetic complications? J Clin Endocrinol Metab 2009;94:410–415
    1. Genuth S, Sun W, Cleary P, et al. .; DCCT Skin Collagen Ancillary Study Group . Glycation and carboxymethyllysine levels in skin collagen predict the risk of future 10-year progression of diabetic retinopathy and nephropathy in the Diabetes Control and Complications Trial and Epidemiology of Diabetes Interventions and Complications participants with type 1 diabetes. Diabetes 2005;54:3103–3111
    1. Ali MK, McKeever Bullard K, Imperatore G, Barker L, Gregg EW; Centers for Disease Control and Prevention (CDC) . Characteristics associated with poor glycemic control among adults with self-reported diagnosed diabetes--National Health and Nutrition Examination Survey, United States, 2007-2010. MMWR Suppl 2012;61(Suppl.):32–37
    1. Hayward RA, Reaven PD, Wiitala WL, et al. .; VADT Investigators . Follow-up of glycemic control and cardiovascular outcomes in type 2 diabetes. N Engl J Med 2015;372:2197–2206
    1. Olson DE, Rhee MK, Herrick K, Ziemer DC, Twombly JG, Phillips LS. Screening for diabetes and pre-diabetes with proposed A1C-based diagnostic criteria. Diabetes Care 2010;33:2184–2189
    1. Blumenthal KJ, Larkin ME, Winning G, Nathan DM, Grant RW. Changes in glycemic control from 1996 to 2006 among adults with type 2 diabetes: a longitudinal cohort study. BMC Health Serv Res 2010;10:158.
    1. Gregg EW, Li Y, Wang J, et al. . Changes in diabetes-related complications in the United States, 1990-2010. N Engl J Med 2014;370:1514–1523
    1. Harris MI, Cowie CC, Eastman R. Health-insurance coverage for adults with diabetes in the U.S. population. Diabetes Care 1994;17:585–591
    1. McCarthy D, Mueller K, Wrenn J. Kaiser Permanente: Bridging the Quality Divide with Integrated Practice, Group Accountability, and Health Information Technology. New York, NY, The Commonwealth Fund, 2009

Source: PubMed

3
Subscribe