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Diabetes Care. Sep 2011; 34(9): 2130–2132.
Published online Aug 19, 2011. doi:  10.2337/dc11-1069
PMCID: PMC3161286
Time for a Victory Lap or Time to Raise the Levees: A Perspective on Complication Reduction and New-Onset Diabetes
James S. Wrobel, DPMcorresponding author1 and Gayle E. Reiber, PHD2
From the 1Division of Metabolism, Endocrinology and Diabetes, University of Michigan Medical School, Ann Arbor, Michigan; and
2Health Services Research and Development; Rehabilitation Research and Development, VA Puget Sound, and Departments of Health Services and Epidemiology, University of Washington, Seattle, Washington
corresponding authorCorresponding author.
Corresponding author: James S. Wrobel, jswrobel/at/med.umich.edu. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs or the United States government.
The Mississippi River is a small piddling stream as it leaves Lake Itasca, Minnesota. As it meanders southward along its 2,300 mile journey, it is joined by 250 different tributaries that ultimately drain one-third of the continent. These widen the river, increase the flow, and strain the system of levees and spillways that contain the “Big Muddy.” It then passes on to the Gulf of Mexico.
There is a striking analogy between the U.S. diabetes population and the Mississippi River. Early in life the prevalence of diabetes is small as is the Mississippi at its origin. The population increases in number, age, and girth, and is enriched with high-risk minorities. Over time, many people with prediabetes transition to diabetes and develop one or more of its complications. The 2010 U.S. Census cites improvements in overall longevity, particularly in males, meaning people with diabetes are living longer and contributing to the expanding diabetes prevalence. Tributaries of people with undiagnosed, newly diagnosed, and established diabetes join the rush of the river. Increased volume and velocity put pressure on the levees and strain the system of locks and dams that regulate the river and protect the communities along its banks. The river finally passes on to the Gulf of Mexico.
U.S. 40-year diabetes population projections by Boyle et al. (1) are sobering. Using census, birth, death, and net migration data, plus estimates and standard errors for the U.S. adult population aged 18–79 years, the authors developed a matrix to transition people from having no diabetes, prediabetes, undiagnosed, diagnosed diabetes, and mortality by glycemic and diabetes state. They used a logistic curve to project low, middle, and high diabetes incidence (new cases per 1,000 person-years). These incidence projections and other population-based data are used to project prevalence (all diabetes cases). According to the estimates, adult diabetes prevalence will rise from the current 1 in 10 to between 1 in 5 and 1 in 3 by 2050 (1). This two- to threefold increase in diabetes prevalence is a conservative estimate since it excludes individuals ≥80 years who have a diabetes prevalence approaching 18% and grew by 22% in the last decade (2,3).
In this issue of Diabetes Care, Kytö et al. (4) describe the 20- to 30-year decline in cumulative incidence of laser photocoagulation to prevent blindness in cohorts of patients with type 1 diabetes. The authors attribute these reductions in complications to the no-cost or low-cost glucose testing and insulin available in Finland. Even more striking are the reductions in type 1 diabetes complications found in the Epidemiology of Diabetes Interventions and Complications (EDIC) cohort that followed the Diabetes Control and Complications Trial (DCCT) population. Complication rates fell in the group with tight glycemic control including peripheral neuropathy (5), autonomic neuropathy (6), retinopathy (7,8), and nephropathy (9).
The May issue of Diabetes Care reports a secular trend showing a 34% reduction in the age- and sex-standardized incident lower-limb amputation rates in the U.S. Department of Veterans Affairs (VA) from 2000 to 2004 (10). This parallels a 37% reduction in the age-adjusted rates of lower-limb amputation reported for the U.S. population between 1998 and 2006 (11), and a 26% reduction in age- and sex-adjusted total amputation rates reported for the Medicare population between 1992 and 2001 (12). Another approach to analyze trends over time is to use quality improvement methods of statistical process control. According to Wheeler (13), any eight data points below the mean represent a shift in the direction or a change in the system. Thus, the U.S. amputation rates from 1988 to 2006 (14) (Fig. 1) represent a systematic reduction in this complication despite not having met the national goals of Healthy People 2010 (15) or benchmark approaches (16). These improvements came with effort. The VA mandated diabetes foot care performance measures in primary care clinics that included foot screens and referrals. Electronic medical records, electronic alerts, and improvements in stand-alone foot care clinics were available and may be a factor in the lower amputation rates (17,18). In addition to the impressive reduction in amputations, evidence shows reductions in other major complications of type 2 diabetes (19).
Figure 1
Figure 1
U.S. amputation rates from 1988 to 2006 (source: Division of Diabetes Translation, CDC). (A high-quality color representation of this figure is available in the online issue.)
The question is whether we should build more levees downstream to manage the two- to threefold growth of the diabetes population, or can we work further upstream to change the magnitude and flow of people with diabetes?
There is strong evidence for upstream action from the Diabetes Prevention Program (DPP). Three randomized groups were followed for 2.8 years. The lifestyle intervention group achieved a 7% weight loss and ≥150 min of physical activity/week and reduced their diabetes development by 58%, and the metformin group (850 mg twice daily) reduced their diabetes onset by 31% compared with the placebo group (20). The DPP follow-up study offered the participants in all three groups the lifestyle intervention using a group format. Metformin was continued at the same dosage as in the original metformin group, and additional lifestyle support was available to the original lifestyle support group. During the 5.7 years of the follow-up study, new-onset diabetes rates were similar across the treatment groups: 5.9 per 100 person-years for lifestyle, 4.9 for metformin, and 5.6 for placebo. The striking finding was diabetes incidence was reduced in the 10 years following DPP randomization by 34% in the lifestyle group and 18% in the metformin group compared with the original placebo group (21). Thus in both the DPP and the DCCT/EDIC, the benefits are extending ≥10 years from initial study randomization (59,21).
The National Diabetes Prevention Program at the Centers for Disease Control and Prevention (CDC) is coordinating with community partners who demonstrate they are willing and ready to support a less costly, community-based translation of the DPP for at-risk individuals in their communities. A pilot cluster-randomized trial in Indiana compared a group-based DPP lifestyle intervention delivery by the YMCA to brief counseling alone (control) in eligible adults attending a diabetes risk-screening event. Among 92 participants, at both 6 and 12 months, body weight decreased by 6.0% in the intervention group and 2% in the control group (22). After replicating these results in Louisville, Kentucky, the YMCA in partnership with the CDC's National Diabetes Prevention Program and UnitedHealth Group is ready for wide-scale dissemination of lifestyle diabetes prevention.
In summary, U.S. diabetes prevalence is growing. Gains in decreasing diabetes complications will soon be overshadowed by swelling diabetes prevalence. The health care system is sufficiently challenged meeting the day-to-day management of people with diagnosed diabetes. Communication and coordination with community partners is a logical way for health care providers to slow the upstream flow by minimizing the impact on the U.S. population at-risk for diabetes and maintaining the system of levees.
Acknowledgments
No potential conflicts of interest relevant to this article were reported.
1. Boyle JP, Thompson TJ, Gregg EW, Barker LE, Williamson DF. Projection of the year 2050 burden of diabetes in the US adult population: dynamic modeling of incidence, mortality, and prediabetes prevalence. Popul Health Metr 2010;8:29. [PMC free article] [PubMed]
2. Howden LM, Meyer JA. Age and Sex Composition: 2010. 2010 Census Briefs. Washington, DC, U.S. Census Bureau, May 2011. (C2010BR-03)
3. CDC Data & Trends: Percentage of Civilian, Noninstitutionalized Population with Diagnosed Diabetes, by Age, United States, 1980–2009 [Internet], 2011. Available from: http://www.cdc.gov/diabetes/statistics/prev/national/figbyage.htm. Accessed 28 May 2011.
4. Kytö JP, Harjutsalo V, Forsblom C, et al. Decline in the cumulative incidence of severe diabetic retinopathy in patients with type 1 diabetes. Diabetes Care 2011;34:2005–2007. [PMC free article] [PubMed]
5. Albers JW, Herman WH, Pop-Busui R, et al. ; Diabetes Control and Complications Trial /Epidemiology of Diabetes Interventions and Complications Research Group Effect of prior intensive insulin treatment during the Diabetes Control and Complications Trial (DCCT) on peripheral neuropathy in type 1 diabetes during the Epidemiology of Diabetes Interventions and Complications (EDIC) Study. Diabetes Care 2010;33:1090–1096. [PMC free article] [PubMed]
6. Pop-Busui R, Low PA, Waberski BH, et al. ; DCCT/EDIC Research Group Effects of prior intensive insulin therapy on cardiac autonomic nervous system function in type 1 diabetes mellitus: the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications study (DCCT/EDIC). Circulation 2009;119:2886–2893. [PMC free article] [PubMed]
7. White NH, Sun W, Cleary PA, et al. ; DCCT-EDIC Research Group Effect of prior intensive therapy in type 1 diabetes on 10-year progression of retinopathy in the DCCT/EDIC: comparison of adults and adolescents. Diabetes 2010;59:1244–1253. [PMC free article] [PubMed]
8. White NH, Sun W, Cleary PA, et al. Prolonged effect of intensive therapy on the risk of retinopathy complications in patients with type 1 diabetes mellitus: 10 years after the Diabetes Control and Complications Trial. Arch Ophthalmol 2008;126:1707–1715. [PMC free article] [PubMed]
9. Lopes-Virella MF, Carter RE, Gilbert GE, et al. ; Diabetes Control and Complications Trial/Epidemiology of Diabetes Intervention and Complications Cohort Study Group Risk factors related to inflammation and endothelial dysfunction in the DCCT/EDIC cohort and their relationship with nephropathy and macrovascular complications. Diabetes Care 2008;31:2006–2012. [PMC free article] [PubMed]
10. Tseng C-L., Rajan M, Miller DR, Lafrance J-P, Pogach L. Trends in initial lower extremity amputation rates among Veterans Health Administration heath care system users from 2000 to 2004. Diabetes Care 2011;34:1157–1163. [PMC free article] [PubMed]
11. Wang J, Imai K, Engelgau MM, Geiss LS, Wen C, Zhang P. Secular trends in diabetes-related preventable hospitalizations in the United States, 1998-2006. Diabetes Care 2009;32:1213–1217. [PMC free article] [PubMed]
12. Kuo S, Fleming BB, Gittings NS, et al. Trends in care practices and outcomes among Medicare beneficiaries with diabetes. Am J Prev Med 2005;29:396–403. [PubMed]
13. Wheeler D. Understanding Variation: The Key to Managing Chaos. Knoxville, TN, SPC Press, Inc., 1993.
14. Centers for Disease Control and Prevention. Data and trends: crude and age-adjusted hospital discharge rates for non-traumatic lower extremity amputation per 1,000 diabetic population, United States, 1988–2006. [Internet], Atlanta, GA. Available from http://www.cdc.gov/diabetes/statistics/lea/fig3.htm. Accessed 28 May 2011.
15. Centers for Disease Control and Prevention Preventive-care practices among persons with diabetes—United States, 1995 and 2001. MMWR Morb Mortal Wkly Rep 2002;51:965–969. [PubMed]
16. Wrobel JS, Mayfield JA, Reiber GE. Geographic variation of lower-extremity major amputation in individuals with and without diabetes in the Medicare population. Diabetes Care 2001;24:860–864. [PubMed]
17. Wrobel JS, Charns MP, Diehr P, et al. The relationship between provider coordination and diabetes-related foot outcomes. Diabetes Care 2003;26:3042–3047. [PubMed]
18. Wrobel JS, Robbins JM, Charns MP, Bonacker KM, Reiber GE, Pogach L. Diabetes-related foot care at 10 Veterans Affairs medical centers: must do's associated with successful microsystems. Jt Comm J Qual Patient Saf 2006;32:206–213. [PubMed]
19. 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. [PubMed]
20. Knowler WC, Barrett-Connor E, Fowler SE, et al. ; Diabetes Prevention Program Research Group Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002;346:393–403. [PMC free article] [PubMed]
21. Knowler WC, Fowler SE, Hamman RF, et al. ; Diabetes Prevention Program Research Group 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet 2009;374:1677–1686. [PMC free article] [PubMed]
22. Ackermann RT, Finch EA, Brizendine E, Zhou H, Marrero DG. Translating the Diabetes Prevention Program into the community: The DEPLOY pilot study. Am J Prev Med 2008;35:357–363. [PMC free article] [PubMed]
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