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Figure 1. 
Percentage change in the number of people in the United States with diabetic retinopathy, 2005-2050.

Percentage change in the number of people in the United States with diabetic retinopathy, 2005-2050.

Figure 2. 
Percentage change in the number of people in the United States with diabetes who have glaucoma, 2005-2050.

Percentage change in the number of people in the United States with diabetes who have glaucoma, 2005-2050.

Figure 3. 
Percentage change in the number of people in the United States who have cataracts, 2005-2050.

Percentage change in the number of people in the United States who have cataracts, 2005-2050.

Table 1. 
Estimated Prevalence per 100 Persons of DR, VTDR, Glaucoma, and Cataracts in Persons With Diabetes Mellitus by Age, Sex, and Race/Ethnicity
Estimated Prevalence per 100 Persons of DR, VTDR, Glaucoma, and Cataracts in Persons With Diabetes Mellitus by Age, Sex, and Race/Ethnicity
Table 2. 
Projections of the Number of People in Thousands in the United States With DR and VTDR in Selected Years by Race/Ethnicity, Sex, and Age
Projections of the Number of People in Thousands in the United States With DR and VTDR in Selected Years by Race/Ethnicity, Sex, and Age
Table 3. 
Projections of the Number of People in Thousands With Diabetes Mellitus Who Have Glaucoma in Selected Years by Race/Ethnicity, Sex, and Agea
Projections of the Number of People in Thousands With Diabetes Mellitus Who Have Glaucoma in Selected Years by Race/Ethnicity, Sex, and Agea
Table 4. 
Projections of the Number of People in Thousands With Diabetes Mellitus Who Have Cataracts in Selected Years by Race/Ethnicity, Sex, and Agea
Projections of the Number of People in Thousands With Diabetes Mellitus Who Have Cataracts in Selected Years by Race/Ethnicity, Sex, and Agea
1.
Fong  DSAiello  LGardner  TW  et al.  Retinopathy in diabetes.  Diabetes Care 2004;27 ((suppl 1)) S84- S87PubMedGoogle ScholarCrossref
2.
Rein  DBZhang  PWirth  KE  et al.  The economic burden of major adult visual disorders in the United States.  Arch Ophthalmol 2006;124 (12) 1754- 1760PubMedGoogle ScholarCrossref
3.
Javitt  JCAiello  LPChiang  Y  et al.  Preventive eye care in people with diabetes is cost-saving to the federal government: implications for health-care reform.  Diabetes Care 1994;17 (8) 909- 917PubMedGoogle ScholarCrossref
4.
Javitt  JCAiello  LP Cost-effectiveness of detecting and treating diabetic retinopathy.  Ann Intern Med 1996;124 (1 pt 2) 164- 169PubMedGoogle ScholarCrossref
5.
Klein  BEKlein  RJensen  SC Open-angle glaucoma and older-onset diabetes: the Beaver Dam Eye Study.  Ophthalmology 1994;101 (7) 1173- 1177PubMedGoogle ScholarCrossref
6.
Klein  BEKlein  RLee  KE Diabetes, cardiovascular disease, selected cardiovascular disease risk factors, and the 5-year incidence of age-related cataract and progression of lens opacities: the Beaver Dam Eye Study.  Am J Ophthalmol 1998;126 (6) 782- 790PubMedGoogle ScholarCrossref
7.
Leske  MCWu  SYHennis  A  et al.  Diabetes, hypertension, and central obesity as cataract risk factors in a black population: the Barbados Eye Study.  Ophthalmology 1999;106 (1) 35- 41PubMedGoogle ScholarCrossref
8.
Mitchell  PSmith  WChey  THealey  PR Open-angle glaucoma and diabetes: the Blue Mountains Eye Study, Australia.  Ophthalmology 1997;104 (4) 712- 718PubMedGoogle ScholarCrossref
9.
Rowe  NGMitchell  PGCumming  RGWans  JJ Diabetes, fasting blood glucose and age-related cataract: the Blue Mountains Eye Study.  Ophthalmic Epidemiol 2000;7 (2) 103- 114PubMedGoogle ScholarCrossref
10.
Chopra  VVarma  RFrancis  BA  et al.  Type 2 diabetes mellitus and the risk of open-angle glaucoma the Los Angeles Latino Eye Study.  Ophthalmology 2008;115 (2) 227- 232PubMedGoogle ScholarCrossref
11.
Sinclair  AJBayer  AJGirling  AJWoodhouse  KW Older adults, diabetes mellitus and visual acuity: a community-based case-control study.  Age Ageing 2000;29 (4) 335- 339PubMedGoogle ScholarCrossref
12.
Kempen  JHO’Colmain  BJLeske  MC  et al. The Eye Diseases Prevalence Research Group, The prevalence of diabetic retinopathy among adults in the United States.  Arch Ophthalmol 2004;122 (4) 552- 563PubMedGoogle ScholarCrossref
13.
Boyle  JPHoneycutt  AANarayan  KM  et al.  Projection of diabetes burden through 2050: impact of changing demography and disease prevalence in the U.S.  Diabetes Care 2001;24 (11) 1936- 1940PubMedGoogle ScholarCrossref
14.
Narayan  KMBoyle  JPGeiss  LS  et al.  Impact of recent increase in incidence on future diabetes burden: U.S., 2005-2050.  Diabetes Care 2006;29 (9) 2114- 2116PubMedGoogle ScholarCrossref
15.
Congdon  NVingerling  JRKlein  BE  et al. The Eye Diseases Prevalence Research Group, Prevalence of cataract and pseudophakia/aphakia among adults in the United States.  Arch Ophthalmol 2004;122 (4) 487- 494PubMedGoogle ScholarCrossref
16.
Friedman  DSWolfs  RCO’Colmain  BJ  et al. The Eye Diseases Prevalence Research Group, Prevalence of open-angle glaucoma among adults in the United States.  Arch Ophthalmol 2004;122 (4) 532- 538PubMedGoogle ScholarCrossref
17.
Honeycutt  AABoyle  JPBroglio  KRThompson  TJHoerger  TJGeiss  LSNarayan  KM A dynamic Markov model for forecasting diabetes prevalence in the United States through 2050.  Health Care Manage Sci 2003 Aug;6 (3) 155- 64PubMedGoogle ScholarCrossref
18.
Cadwell  BLBoyle  JPTierney  EFThompson  TJ A bayesian approach to assess heart disease mortality among persons with diabetes in the presence of missing data.  Health Care Manage Sci 2007 Sep;10 (3) 231- 8PubMedGoogle ScholarCrossref
19.
Kempen  JHO’Colmain  BJLeske  MC  et al. The Eye Diseases Prevalence Research Group, The prevalence of diabetic retinopathy among adults in the United States.  Arch Ophthalmol 2004;122 (4) 552- 563PubMedGoogle ScholarCrossref
20.
Hovind  PTarnow  LRossing  K  et al.  Decreasing incidence of severe diabetic microangiopathy in type 1 diabetes.  Diabetes Care 2003;26 (4) 1258- 1264PubMedGoogle ScholarCrossref
21.
Lecaire  TPalta  MZhang  H  et al.  Lower-than-expected prevalence and severity of retinopathy in an incident cohort followed during the first 4-14 years of type 1 diabetes: the Wisconsin Diabetes Registry Study.  Am J Epidemiol 2006;164 (2) 143- 150PubMedGoogle ScholarCrossref
22.
Saaddine  JBCadwell  BGregg  EW  et al.  Improvements in diabetes processes of care and intermediate outcomes: United States, 1988-2002.  Ann Intern Med 2006;144 (7) 465- 474PubMedGoogle ScholarCrossref
23.
Department of Health and Human Services, Healthy People 2010: Understanding and Improving Health. 2nd ed. Washington, DC Dept of Health and Human Services2000;
24.
Tierney  EFCadwell  BLEngelgau  MM  et al.  Declining mortality rate among people with diabetes in North Dakota, 1997-2002.  Diabetes Care 2004;27 (11) 2723- 2725PubMedGoogle ScholarCrossref
25.
Tierney  EFGeiss  LSEngelgau  MM  et al.  Population-based estimates of mortality associated with diabetes: use of a death certificate check box in North Dakota.  Am J Public Health 2001;91 (1) 84- 92PubMedGoogle ScholarCrossref
26.
Centers for Disease Control and Prevention, Correctable visual impairment among persons with diabetes–United States, 1999-2004.  MMWR Morb Mortal Wkly Rep 2006;55 (43) 1169- 1172PubMedGoogle Scholar
27.
Ederer  FHiller  RTaylor  HR Senile lens changes and diabetes in two population studies.  Am J Ophthalmol 1981;91 (3) 381- 395PubMedGoogle Scholar
28.
Klein  BEKlein  RWang  QMoss  SE Older-onset diabetes and lens opacities: the Beaver Dam Eye Study.  Ophthalmic Epidemiol 1995;2 (1) 49- 55PubMedGoogle ScholarCrossref
29.
Kuo  SFleming  BBGittings  NS  et al.  Trends in care practices and outcomes among Medicare beneficiaries with diabetes.  Am J Prev Med 2005;29 (5) 396- 403PubMedGoogle ScholarCrossref
30.
Brechner  RJCowie  CCHowie  LJ  et al.  Ophthalmic examination among adults with diagnosed diabetes mellitus.  JAMA 1993;270 (14) 1714- 1718PubMedGoogle ScholarCrossref
31.
Zhang  XSaaddine  JBLee  PP  et al.  Eye care in the United States: do we deliver to high-risk people who can benefit most from it?  Arch Ophthalmol 2007;125 (3) 411- 418PubMedGoogle ScholarCrossref
32.
Saaddine  JBEngelgau  MMBeckles  GL  et al.  A diabetes report card for the United States: quality of care in the 1990s.  Ann Intern Med 2002;136 (8) 565- 574PubMedGoogle ScholarCrossref
Socioeconomics and Health Services
December 8, 2008

Projection of Diabetic Retinopathy and Other Major Eye Diseases Among People With Diabetes Mellitus: United States, 2005-2050

Author Affiliations

Author Affiliations:Division of Diabetes Translation/Vision Health Initiative, Centers for Disease Control and Prevention, Atlanta, Georgia (Drs Saaddine, Narayan, Zhang, and Boyle); Research Triangle Institute International, Research Triangle Park, South Carolina (Dr Honeycutt); and Department of Ophthalmology and Visual Sciences, University of Wisconsin Medical School, Madison (Dr Klein).

 

PAUL PLEEMD

Arch Ophthalmol. 2008;126(12):1740-1747. doi:10.1001/archopht.126.12.1740
Abstract

Objectives  To estimate the number of people with diabetic retinopathy (DR), vision-threatening DR (VTDR), glaucoma, and cataracts among Americans 40 years or older with diagnosed diabetes mellitus for the years 2005-2050.

Methods  Using published prevalence data of DR, VTDR, glaucoma, and cataracts and data from the National Health Interview Survey and the US Census Bureau, we projected the number of Americans with diabetes with these eye conditions.

Results  The number of Americans 40 years or older with DR and VTDR will triple in 2050, from 5.5 million in 2005 to 16.0 million for DR and from 1.2 million in 2005 to 3.4 million for VTDR. Increases among those 65 years or older will be more pronounced (2.5 million to 9.9 million for DR and 0.5 million to 1.9 million for VTDR). The number of cataract cases among whites and blacks 40 years or older with diabetes will likely increase 235% by 2050, and the number of glaucoma cases among Hispanics with diabetes 65 years or older will increase 12-fold.

Conclusion  Future increases in the number of Americans with diabetes will likely lead to significant increases in the number with DR, glaucoma, and cataracts. Our projections may help policy makers anticipate future demands for health care resources and possibly guide the development of targeted interventions.

Clinical Relevance  Efforts to prevent diabetes and to optimally manage diabetes and its complications are needed.

Diabetic retinopathy (DR) is a common and serious condition. It is the leading cause of blindness among working-age adults in the United States.1In 2004, blindness from DR accounted for approximately $500 million in direct medical costs among Americans 40 years or older.2However, interventions to detect and treat DR to prevent vision loss are cost-effective and may result in cost savings.3,4People with diabetes mellitus also have a higher prevalence of other eye diseases, such as cataracts and glaucoma, than the general population.5-10Vision loss related to eye disease among people with diabetes is an important disability that threatens independence and can lead to depression, reduced mobility, and reduced quality of life.11The Eye Diseases Prevalence Research Group (EDPRG) classified DR into 2 major composite outcomes: (1) any DR as any DR consisting of mild, moderate, or severe DR, diabetic macular edema, or any combination and (2) vision-threatening DR (VTDR) as DR likely to result in vision loss in the absence of treatment, consisting of proliferative DR, diabetic macular edema, or both. Among people 40 years and older with known diabetes in the year 2000, an estimated 4.1 million persons had DR and approximately 0.9 million had signs of VTDR.12

Several factors will likely combine to increase the number of Americans with diabetes, including a steady increase in the total US population, an increase in the average age of the population, and disproportionate growth in the number of Hispanics and blacks, among whom the prevalence of diabetes is higher than among whites.

Previous studies have projected the number of people with DR and VTDR using forecasts of the number of people with diabetes as reported in 2001 by Boyle et al13of the Centers for Disease Control and Prevention (CDC). These forecasts were based on the estimated 29 million people in the United States who will have diabetes by 2050. However, a more recent CDC study14projects that 48 million people will have diabetes in 2050. This analysis accounts for the recent increase in the incidence of diagnosed diabetes between 2000 and 2004, the decrease in death rates among people with diabetes, and expected changes in the age and racial/ethnic composition of the US population through 2050. As the number of people with diagnosed diabetes increases, the number of people with eye complications leading to severe vision loss is also likely to increase, unless glycemic and blood pressure control among people with diabetes improves.

In this article, we provide age-, sex-, and race/ethnicity-specific estimates of the number of people with DR, VTDR, glaucoma, and cataracts among those 40 years and older with diagnosed diabetes in the United States for the years 2005-2050. These forecasts may help policy makers prepare for increased future demand for vision-related health care and develop interventions to prevent or delay vision loss among people with diabetes.

Methods

To project the numbers of Americans with diabetes who will have moderate to severe visual disorders through 2050, we combined eye disease prevalence rate estimates from the EDPRG12,15,16with projections of the numbers of Americans with diagnosed diabetes. We first briefly describe the model used to project the US burden of diabetes. We then describe our methods to project the number of people with diabetes and eye disease. We quantified uncertainty in our projections of the number of people with eye disease using 95% Bayesian confidence intervals (CIs; ie, the 2.5% and 97.5% quantiles of the posterior distributions). We reported these CIs for the totals.

Diabetes prevalence projections

To project the number of Americans with diabetes from 2005 to 2050, we used an updated discrete-time (1-year intervals), incidence-based Markov model with 3 states (no diagnosed diabetes, diagnosed diabetes, and death) to project the number of people with diabetes in each year from 2005 to 2050. A complete description of the model structure, data sources, and parameter estimation can be found in the studies by Honeycutt et al17and Narayan et al.14In each cycle of the model, we developed projections for 808 population subgroups defined by age, sex, and race/ethnicity (age [in years]: 0, 1, . . . , 99, ≥100; sex: male, female; race/ethnicity: non-Hispanic white, non-Hispanic black, Hispanic, other).

We used US National Health Interview Survey data to estimate age-, sex-, and race/ethnicity-specific diabetes prevalence and incidence rates of diabetes for 2004. Future incidence rates were assumed constant at 2004 levels. We generated all these estimates using Bayesian logistic regression with improper flat priors. The age-, sex-, and race/ethnicity-specific 2004 prevalence rate estimates were combined with US Census Bureau population estimates for 2004 to determine the initial distribution of individuals across the nondiabetes and diabetes states. US Census Bureau projections of US live births, mortality rates, and net migration were also required because our diabetes projection model was constrained to yield the total population projections implied by these quantities. Finally, we required estimates of the relative risk of mortality for people with diabetes. These estimates were obtained from a published study18that applied Bayesian methods and logistic regression models to North Dakota death certificate data because of the lack of national data that would support direct estimates of the relative risk of mortality from diabetes. These relative risks and the US Census mortality rates determined projected nondiabetes and diabetes mortality rates.

We used Markov chain Monte Carlo simulation to generate 5000 draws from the posterior distributions of all model parameters (age-, sex-, race/ethnicity-specific prevalence, incidence, and nondiabetes and diabetes mortality rates). The Markov model used these posterior distributions as inputs to generate posterior distributions of the projected number of people with diabetes. The actual projections were the means of these posterior distributions.

Eye disease prevalence projections

Estimates of the prevalence of DR, VTDR, glaucoma, and cataracts in the United States have been reported previously by age, sex, and race/ethnicity.12,15,16Our projections of the number of Americans who will have these eye diseases were based on the assumption that the prevalence of these conditions will remain constant through 2050. We projected the number of people with eye disease by multiplying the appropriate age-, sex-, and race/ethnicity-specific prevalence rate in Table 1by the age-, sex-, race/ethnicity-specific projection of the number of people with diagnosed diabetes. Thus, for example, to estimate the number of diabetic non-Hispanic white men aged 40 to 49 years with DR in any year, we multiplied the DR prevalence rate by the projected number of white men with diabetes in this age range. To project the number of Americans with diabetes who will have glaucoma and cataracts, we used the prevalence estimates for the total US population that are not specific to people with diabetes. The EDPRG generated prevalence estimates for DR and glaucoma for whites, blacks, and Hispanics; however, prevalence estimates for cataracts were only for whites and blacks.

Finally, we used prevalence estimates from previous reports and their 95% CIs to generate 5000 independent normal distributions in logit space for each estimate. Logistic transforms of these draws yielded 5000 draws from the posterior distribution of the prevalence estimates. Draws from these distributions were combined with draws from the posterior distributions of the number of people with diabetes to obtain posterior draws of the number with eye disease. The 0.025 and 0.975 posterior quantiles determined 95% CIs for the projected number of people with diabetes and eye disease. These CIs are reported only for totals in Tables 2, 3, and 4.

Results

The US Census projections used in the projections of diagnosed diabetes mellitus underlying the eye disease projections in this study forecast a total US resident population of 402 million in 2050: 213 million non-Hispanic whites, 53 million blacks, 98 million Hispanics, and 38 million people of other races.

Diabetic retinopathy

Our forecasts suggest that the number of people with DR and VTDR will almost triple during the next 45 years (Figure 1). The number of people with DR is expected to increase from 5.5 million in 2005 to 16.0 million in 2050, and the number with VTDR is expected to increase from 1.2 million in 2005 to 3.4 million in 2050.

Our projections indicate an even larger growth in the number of blacks and Hispanics with DR and VTDR, especially among those 65 years or older (Table 3). We estimated that 5.9 million whites, 1.0 million blacks, and 2.9 million Hispanics 65 years or older will have DR in 2050. The projected increases for VTDR are considerably smaller but also show expected increases to 1.0 million for whites, 0.4 million for blacks, and 0.5 million for Hispanics 65 years or older by 2050.

Increases in the number of people with DR and VTDR are also expected for younger age groups. The forecasted growth is higher for Hispanics than for whites and blacks across all age groups (Table 3), mirroring population growth and its expected impact on the number of people with diabetes.

For some age, sex, and racial/ethnic groups, the number of DR and VTDR cases is expected to peak before 2050. For example, among white women aged 65 to 74 years, we projected that the number of cases will peak in 2030; this peak reflects the changes in the number of women with diabetes in 2030. Our projections of eye disease among people with diabetes were based on unchanging prevalences based on data from published studies. Thus, changes in the numbers of diabetic people with eye disease are expected to follow changes in the numbers of people with diabetes.

Glaucoma

Among Americans with diabetes, we projected that the number of cases of glaucoma will increase between 2005 and 2050 for all demographic groups but particularly among blacks 50 years or older and among Hispanics across all age groups (Table 4). We projected an 11- to 12-fold increase in the number of Hispanics 65 years or older with glaucoma (Figure 2). By 2050 our forecasts suggest that the number of people 65 years and older with diabetes who have glaucoma will be approximately 0.23 million for white men, 0.40 million for white women, 0.21 million for black men, 0.24 million for black women, 0.14 million for Hispanic men, and 0.23 million for Hispanic women.

Cataracts

The number of whites and blacks with diagnosed diabetes who have cataracts is expected to increase for all age and sex groups from 2005 through 2050 (Table 4). In 2050, among people with diabetes, almost 2.7 million white men, 4.6 million white women, 0.5 million black men, and 1.2 million black women with diabetes 65 years or older will either have cataract or have had cataract surgery. The number of cataract cases among people with diabetes 75 years or older is expected to increase 637% for black women and 677% for black men between 2005 and 2050 (Figure 3).

Comment

Although a previous study13reported estimates of the number of people with DR and VTDR in the United States, the authors of that study assumed that the prevalence of diagnosed diabetes would remain constant at 1999 levels or increase only slightly. However, a recent study by Narayan et al14demonstrated that diabetes prevalence in the United States is likely to increase dramatically through 2050, given recent increases in the incidence of diagnosed diabetes, decreases in diabetes-related mortality, and expected changes in the age and racial/ethnic composition of the US population. Accounting for these changes implies a large and growing burden of eye diseases associated with diabetes, in particular DR and VTDR.

We forecast that the number of people in the United States with any DR will increase approximately 3-fold from 5.5 million in 2005 to 16 million by 2050. Our forecasts also suggest that the number of people with diabetes who have glaucoma will increase to 1.4 million (>300% increase vs 2005 levels) and the number with diabetes who have cataracts will reach approximately 10 million by 2050 (>200% increase vs 2005 levels).

The EDPRG estimated that 6.1 million people with diabetes will have any DR by 2020, but the EDPRG forecast assumed constant diabetes prevalence over time.19When the EDPRG accounted for increasing diabetes prevalence rates, they estimated that 7.2 million people will have DR in 2020. In contrast, our estimate that 9.7 million will have DR by 2020 is 35% higher than the EDPRG estimate. We also estimated that 16 million Americans with diabetes (95% CI, 14.8 million to 17.4 million) will have any DR in 2050 and that 3.4 million of those (95% CI, 3.1 million to 4.1 million) will have VTDR. Even if the prevalence of DR among people with diabetes remains constant over time, in the absence of normalization of glycemia and blood pressure through intensive control, the number of people with DR is likely to increase rapidly because of expected growth in the numbers and changes in the race/ethnicity composition of people with diagnosed diabetes between 2005 and 2050.

Our results also suggest that the older age groups—those 65 to 74 years and 75 years and older—will experience the largest increases in the number of people with diabetes-related eye disease. Hispanics of all ages with diabetes are forecast to have particularly large increases in the number of people with DR and other eye diseases associated with diabetes. For example, growth in the number of Hispanics between 40 and 49 years with DR and VTDR is comparable to expected growth in DR and VTDR for whites 75 years and older.

Although we assumed that the prevalence of DR and VTDR will remain constant at 2000 published levels through 2050, results of recent national and international population-based studies among people with type 1 diabetes have shown a lower prevalence of retinopathy than previously reported,20,21possibly because of changes in diabetes management since 1980. Additional studies22have demonstrated improvement in intermediate health outcomes, such as levels of hemoglobin A1cand low-density lipoprotein, between 1988 and 2002. These intermediate outcomes are major risk factors for the progression of DR to severe stages. In our forecasts, we did not account for possible decreases in the prevalence of DR and VTDR that could occur if improvements in intermediate diabetes outcomes continue, which might be expected given the Healthy People 201023emphasis on the prevention and improved management and control of diabetes.

On the other hand, improvements in diabetes care could also result in improved survival.24,25Extending the duration of diabetes, which is a major risk factor for the development and progression of DR may, in part, offset the effects of improved diabetes management on lowering the prevalence of DR and VTDR.

In this study, we focused on generating estimates of DR, VTDR, glaucoma, and cataracts among people with diabetes from 2005 through 2050. We chose to focus on these diseases in our analysis because the availability of age-, sex-, and race/ethnicity-specific prevalence data for these conditions allowed us to explore the impact of changes in the age and racial/ethnic composition of people with diabetes on the number of people with diabetes who also have moderate to severe eye disease. The relationship between diabetes and glaucoma is established in several studies.5,8,10Projecting the number of people with diabetes and glaucoma is important for understanding the impact that preventing and managing this condition will have on our medical care system. Henceforth, there might be a need to enhance or modify our screening program and health care provision planning to tackle this issue appropriately.

Although we did not model the number of people with diabetes who have correctable visual impairment due to refractive error, by using age-, sex-, race/ethnicity-, and diabetes-specific prevalence data, we combined previous data reported in the CDC's Morbidity and Mortality Weekly Report26with forecasts of the number of people with diabetes through 2050 from Narayan et al14and estimated that the number of people with diabetes who have correctable visual impairment due to refractive error will likely increase from 1.2 million in 2005 to 3.5 million in 2050. These estimates suggest a role for interventions to correct refractive error to improve quality of life among people with diabetes.

Our study had several limitations. First, we used a constant prevalence of DR, VTDR, glaucoma, and cataracts. This assumption ignores the impact of factors such as better management of diabetes and hypertension and improved screening for and treatment of eye diseases in people with diabetes, which could lead to decreasing prevalence of these conditions through 2050. Consequently, using constant prevalence may have caused us to overestimate the number of adults with diabetes affected by DR, VTDR, glaucoma, and cataracts. Second, we used general population prevalence estimates for glaucoma and cataracts rather than prevalence estimates specific to people with diabetes. Previous studies27,28have shown that cataracts are more common among people with diabetes than among people without diabetes, and diabetes is associated with cataracts and cataract surgery. Other studies5also demonstrated a higher rate of open-angle glaucoma among people with diabetes. Therefore, using general population prevalence estimates for cataracts and glaucoma may have caused us to underestimate the number of adults with such conditions. Nevertheless, our forecasts reflect the realistic scope of these problems given population aging and a rapidly increasing diabetes epidemic.

Our findings show that the estimated number of people with DR will increase unless approaches are developed to prevent diabetes. Knowledge of this information is important for planning allocation of resources involved in prevention such as education programs and training persons needed to manage people with diabetes at risk of developing these complications. Recent studies23have shown that the percentage of Americans with diabetes who receive recommended eye care, including screening, is below that recommended in Healthy People 2010(75%). One study29showed some increase in the percentage of Medicare recipients who received dilated eye examinations, but only to approximately 60%. Studies based on National Health Interview Survey30,31and Behavioral Risk Factor Surveillance System data32have shown that only approximately 50% to 70% of Americans with diabetes receive annual dilated eye examinations. Simply increasing this cost-effective intervention might reduce the rate of vision loss and blindness associated with diabetes. Continued improvement in the approaches used to diagnose and treat eye diseases in people with diabetes will also help reduce the present and future burden of visual disability and improve quality of life among people with diabetes.

In summary, our projections have shown higher numbers than previously estimated for DR, VTDR, cataracts, and glaucoma among Americans with diabetes. These projections should be helpful to public health policy makers preparing to meet the future demand for vision-related health care among Americans with diabetes and attempting to develop interventions to prevent or delay vision loss in this population.

Correspondence:Jinan B. Saaddine, MD, MPH, Division of Diabetes Translation/Vision Health Initiative, Centers for Disease Control and Prevention, 4770 Buford Hwy, Atlanta, GA 30341 (Mail Stop, K10) (jsaaddine@cdc.gov).

Submitted for Publication:June 16, 2008; final revision received June 17, 2008; accepted June 25, 2008.

Financial Disclosure:None reported.

Additional Contributions:Sarah Lesesne, BS, research analyst at RTI, provided continuous research assistance with the manuscript.

References
1.
Fong  DSAiello  LGardner  TW  et al.  Retinopathy in diabetes.  Diabetes Care 2004;27 ((suppl 1)) S84- S87PubMedGoogle ScholarCrossref
2.
Rein  DBZhang  PWirth  KE  et al.  The economic burden of major adult visual disorders in the United States.  Arch Ophthalmol 2006;124 (12) 1754- 1760PubMedGoogle ScholarCrossref
3.
Javitt  JCAiello  LPChiang  Y  et al.  Preventive eye care in people with diabetes is cost-saving to the federal government: implications for health-care reform.  Diabetes Care 1994;17 (8) 909- 917PubMedGoogle ScholarCrossref
4.
Javitt  JCAiello  LP Cost-effectiveness of detecting and treating diabetic retinopathy.  Ann Intern Med 1996;124 (1 pt 2) 164- 169PubMedGoogle ScholarCrossref
5.
Klein  BEKlein  RJensen  SC Open-angle glaucoma and older-onset diabetes: the Beaver Dam Eye Study.  Ophthalmology 1994;101 (7) 1173- 1177PubMedGoogle ScholarCrossref
6.
Klein  BEKlein  RLee  KE Diabetes, cardiovascular disease, selected cardiovascular disease risk factors, and the 5-year incidence of age-related cataract and progression of lens opacities: the Beaver Dam Eye Study.  Am J Ophthalmol 1998;126 (6) 782- 790PubMedGoogle ScholarCrossref
7.
Leske  MCWu  SYHennis  A  et al.  Diabetes, hypertension, and central obesity as cataract risk factors in a black population: the Barbados Eye Study.  Ophthalmology 1999;106 (1) 35- 41PubMedGoogle ScholarCrossref
8.
Mitchell  PSmith  WChey  THealey  PR Open-angle glaucoma and diabetes: the Blue Mountains Eye Study, Australia.  Ophthalmology 1997;104 (4) 712- 718PubMedGoogle ScholarCrossref
9.
Rowe  NGMitchell  PGCumming  RGWans  JJ Diabetes, fasting blood glucose and age-related cataract: the Blue Mountains Eye Study.  Ophthalmic Epidemiol 2000;7 (2) 103- 114PubMedGoogle ScholarCrossref
10.
Chopra  VVarma  RFrancis  BA  et al.  Type 2 diabetes mellitus and the risk of open-angle glaucoma the Los Angeles Latino Eye Study.  Ophthalmology 2008;115 (2) 227- 232PubMedGoogle ScholarCrossref
11.
Sinclair  AJBayer  AJGirling  AJWoodhouse  KW Older adults, diabetes mellitus and visual acuity: a community-based case-control study.  Age Ageing 2000;29 (4) 335- 339PubMedGoogle ScholarCrossref
12.
Kempen  JHO’Colmain  BJLeske  MC  et al. The Eye Diseases Prevalence Research Group, The prevalence of diabetic retinopathy among adults in the United States.  Arch Ophthalmol 2004;122 (4) 552- 563PubMedGoogle ScholarCrossref
13.
Boyle  JPHoneycutt  AANarayan  KM  et al.  Projection of diabetes burden through 2050: impact of changing demography and disease prevalence in the U.S.  Diabetes Care 2001;24 (11) 1936- 1940PubMedGoogle ScholarCrossref
14.
Narayan  KMBoyle  JPGeiss  LS  et al.  Impact of recent increase in incidence on future diabetes burden: U.S., 2005-2050.  Diabetes Care 2006;29 (9) 2114- 2116PubMedGoogle ScholarCrossref
15.
Congdon  NVingerling  JRKlein  BE  et al. The Eye Diseases Prevalence Research Group, Prevalence of cataract and pseudophakia/aphakia among adults in the United States.  Arch Ophthalmol 2004;122 (4) 487- 494PubMedGoogle ScholarCrossref
16.
Friedman  DSWolfs  RCO’Colmain  BJ  et al. The Eye Diseases Prevalence Research Group, Prevalence of open-angle glaucoma among adults in the United States.  Arch Ophthalmol 2004;122 (4) 532- 538PubMedGoogle ScholarCrossref
17.
Honeycutt  AABoyle  JPBroglio  KRThompson  TJHoerger  TJGeiss  LSNarayan  KM A dynamic Markov model for forecasting diabetes prevalence in the United States through 2050.  Health Care Manage Sci 2003 Aug;6 (3) 155- 64PubMedGoogle ScholarCrossref
18.
Cadwell  BLBoyle  JPTierney  EFThompson  TJ A bayesian approach to assess heart disease mortality among persons with diabetes in the presence of missing data.  Health Care Manage Sci 2007 Sep;10 (3) 231- 8PubMedGoogle ScholarCrossref
19.
Kempen  JHO’Colmain  BJLeske  MC  et al. The Eye Diseases Prevalence Research Group, The prevalence of diabetic retinopathy among adults in the United States.  Arch Ophthalmol 2004;122 (4) 552- 563PubMedGoogle ScholarCrossref
20.
Hovind  PTarnow  LRossing  K  et al.  Decreasing incidence of severe diabetic microangiopathy in type 1 diabetes.  Diabetes Care 2003;26 (4) 1258- 1264PubMedGoogle ScholarCrossref
21.
Lecaire  TPalta  MZhang  H  et al.  Lower-than-expected prevalence and severity of retinopathy in an incident cohort followed during the first 4-14 years of type 1 diabetes: the Wisconsin Diabetes Registry Study.  Am J Epidemiol 2006;164 (2) 143- 150PubMedGoogle ScholarCrossref
22.
Saaddine  JBCadwell  BGregg  EW  et al.  Improvements in diabetes processes of care and intermediate outcomes: United States, 1988-2002.  Ann Intern Med 2006;144 (7) 465- 474PubMedGoogle ScholarCrossref
23.
Department of Health and Human Services, Healthy People 2010: Understanding and Improving Health. 2nd ed. Washington, DC Dept of Health and Human Services2000;
24.
Tierney  EFCadwell  BLEngelgau  MM  et al.  Declining mortality rate among people with diabetes in North Dakota, 1997-2002.  Diabetes Care 2004;27 (11) 2723- 2725PubMedGoogle ScholarCrossref
25.
Tierney  EFGeiss  LSEngelgau  MM  et al.  Population-based estimates of mortality associated with diabetes: use of a death certificate check box in North Dakota.  Am J Public Health 2001;91 (1) 84- 92PubMedGoogle ScholarCrossref
26.
Centers for Disease Control and Prevention, Correctable visual impairment among persons with diabetes–United States, 1999-2004.  MMWR Morb Mortal Wkly Rep 2006;55 (43) 1169- 1172PubMedGoogle Scholar
27.
Ederer  FHiller  RTaylor  HR Senile lens changes and diabetes in two population studies.  Am J Ophthalmol 1981;91 (3) 381- 395PubMedGoogle Scholar
28.
Klein  BEKlein  RWang  QMoss  SE Older-onset diabetes and lens opacities: the Beaver Dam Eye Study.  Ophthalmic Epidemiol 1995;2 (1) 49- 55PubMedGoogle ScholarCrossref
29.
Kuo  SFleming  BBGittings  NS  et al.  Trends in care practices and outcomes among Medicare beneficiaries with diabetes.  Am J Prev Med 2005;29 (5) 396- 403PubMedGoogle ScholarCrossref
30.
Brechner  RJCowie  CCHowie  LJ  et al.  Ophthalmic examination among adults with diagnosed diabetes mellitus.  JAMA 1993;270 (14) 1714- 1718PubMedGoogle ScholarCrossref
31.
Zhang  XSaaddine  JBLee  PP  et al.  Eye care in the United States: do we deliver to high-risk people who can benefit most from it?  Arch Ophthalmol 2007;125 (3) 411- 418PubMedGoogle ScholarCrossref
32.
Saaddine  JBEngelgau  MMBeckles  GL  et al.  A diabetes report card for the United States: quality of care in the 1990s.  Ann Intern Med 2002;136 (8) 565- 574PubMedGoogle ScholarCrossref
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