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Quantification of risk factors for diabetic retinopathy progression

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Abstract

Aims

To determine the importance of blood sugar control, blood pressure, and other key systemic factors on the risk of progression from no retinopathy to various stages of diabetic retinopathy.

Methods

Restrospective cohort analysis of patients (N = 99, 280) in the Kaiser Permanente Northern California healthcare system with a baseline retina photographic screening showing no evidence of retinopathy and a minimum follow-up surveillance period of 3 years from 2008 to 2019. We gathered longitudinal data on diabetic retinopathy progression provided by subsequent screening fundus photographs and data captured in the electronic medical record over a mean surveillance of 7.3 ± 2.2 (mean ± SD) years. Progression from an initial state of no diabetic retinopathy to any of four outcomes was determined: (1) any incident retinopathy, (2) referable (moderate or worse) retinopathy, (3) diabetic macular edema, and (4) proliferative diabetic retinopathy. Multiple predictors, including age, race, gender, glycosylated hemoglobin (HbA1c), systolic blood pressure (SBP), cholesterol, chronic renal disease, and type of diabetes were investigated.

Results

Among modifiable risk factors, the average HbA1c had the strongest impact on the progression of diabetic retinopathy, followed by average SBP control and total cholesterol. Patients with an average HbA1c of 10.0% or greater (≥ 97 mmol/mol) had a risk ratio of 5.72 (95% CI 5.44–6.02) for progression to any retinopathy, 18.84 (95% CI 17.25–20.57) for referable retinopathy, 22.85 (95% CI 18.87–27.68) for diabetic macular edema, and 25.96 (95% CI 18.75–36.93) for proliferative diabetic retinopathy compared to those with an average HbA1c of 7.0% (53 mmol/mol) or less. Non-white patients generally had a higher risk of progression to all forms of diabetic retinopathy, while Asian patients were less likely to develop diabetic macular edema (HR 0.76, 95% CI 0.66–0.87).

Conclusions

We confirm the critical importance of glucose control as measured by HbA1c on the risk of development of diabetic retinopathy.

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References

  1. Saeedi P, Petersohn I, Salpea P et al (2019) Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2015: results from the International Diabetes Federation Diabetes Atlas, 9(th) edition. Diabetes Res Clin Pract 157:107843. https://doi.org/10.1016/j.diabres.2019.107843

    Article  PubMed  Google Scholar 

  2. Yau JW, Rogers SL, Kawasaki R et al (2012) Global prevalence and major risk factors of diabetic retinopathy. Diabetes Care 35:556–564. https://doi.org/10.2337/dc11-1909

    Article  PubMed  PubMed Central  Google Scholar 

  3. Teo ZL, Tham Y, Yu M et al (2021) Global prevalence of diabetic retinopathy and projection of burden through 2045. Ophthalmology 128:1580–1591. https://doi.org/10.1016/j.ophtha.2021.04.027

    Article  PubMed  Google Scholar 

  4. The Early Treatment Diabetic Retinopathy Study Research Group (1991) Early photocoagulation for diabetic retinopathy: ETDRS report number 9. Ophthalmology 98:766–785

    Article  Google Scholar 

  5. Wong TY, Sabanyagam C (2020) Strategies to tackle the global burden of diabetic retinopathy: from epidemiology to artificial intelligence. Ophthalmologica 243:9–20. https://doi.org/10.1159/000502387

    Article  CAS  PubMed  Google Scholar 

  6. Klein R, Klein BE, Moss SE et al (1984) The Wisconsin Epidemiologic Study of Diabetic Retinopathy. II Prevalence and risk of diabetic retinopathy when age at diagnosis is 30 or Less Years. Arch Ophthalmol 102:520–526. https://doi.org/10.1001/archopht.1984.01040030405011

    Article  CAS  PubMed  Google Scholar 

  7. Klein R, Knudtson MD, Lee KE et al (2008) The Wisconsin Epidemiologic Study of Diabetic Retinopathy XXII. The twenty-five year progression of retinopathy in persons with Type 1 diabetes. Ophthalmol 115:1859–1868. https://doi.org/10.1016/j.ophtha.2008.08.023

    Article  Google Scholar 

  8. Varma R (2008) From a population to patients: The Wisconsin Epidemiologic Study of Diabetic Retinopathy. Ophthalmol 115:1857–1858. https://doi.org/10.1016/j.ophtha.2008.09.023

    Article  Google Scholar 

  9. The Diabetes Control and Complications Trial Research Group, Nathan DM, Genuth S et al (1993) The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med 329:977–986. https://doi.org/10.1056/NEJM199309303291401

    Article  Google Scholar 

  10. UK Prospective Diabetes Study Group (1998) Intensive blood-glucose control with sulphonylureas or insulin compared to conventional treatment and risk of complications in patients with type 2 diabetes. Lancet 352:837–853

    Article  Google Scholar 

  11. Klein R, Klein BE, Moss SE et al (1989) Is blood pressure a predictor of the incidence or progression of diabetic retinopathy? Arch Int Med 149:2427–2432

    Article  CAS  Google Scholar 

  12. UK Prospective Diabetes Study Group (1998) Tight blood pressure control and risk of macrovascular and microvascular complications in Type 2 diabetes (UKPDS 38). BMJ 317:703–713

    Article  PubMed Central  Google Scholar 

  13. Vujosevic S, Aldington SJ, Silva P et al (2020) Screening for diabetic retinopathy: new perspectives and challenges. Lancet Diabetes-Endocrinol 8:337–347. https://doi.org/10.1016/S2213-8587(19)30411-5

    Article  PubMed  Google Scholar 

  14. Wilkinson CP, Ferris FL, Klein RE et al (2003) Global Diabetic Retinopathy Study Group (2003) Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales. Ophthalmology 110:1677–1682. https://doi.org/10.1016/S0161-6420(03)00475-5

    Article  CAS  PubMed  Google Scholar 

  15. Strandberg-Larsen M, Schiotz ML, Silver JD et al (2010) Is the Kaiser Permanente model superior in terms of clinical integration? a comparative study of Kaiser Permanente, Northern California and the Danish healthcare system. BMC Health Serv Res 10:1–13. https://doi.org/10.1186/1472-6963-10-91

    Article  Google Scholar 

  16. Melles RB, Conell C, Siegner SW, Tarasewicz D (2020) Diabetic retinopathy screening using a virtual reading center. Acta Diabetol 57:183–188. https://doi.org/10.1007/s00592-019-01392-9

    Article  PubMed  Google Scholar 

  17. Moffet HH, Adler N, Schillinger D et al (2009) The Diabetes Study of Northern California (DISTANCE)-objectives and design of a survey follow-up of social health disparities in a managed care population. Int J Epidemiol 38:38–47. https://doi.org/10.1093/ije/dyn040

    Article  PubMed  Google Scholar 

  18. Kuntz J, Young D, Saelens B et al (2021) Validity of the exercise vital sign tool to assess physical activity. Am J Prev Med 60:866–872. https://doi.org/10.1016/j.amepre.2021.01.012

    Article  PubMed  PubMed Central  Google Scholar 

  19. Gong Q, Fang L (2013) Comparison of different parametric proportional hazards models for interval-censored data: a simulation study. Contemp Clin Trials 36:276–283. https://doi.org/10.1016/j.cct.2013.07.012

    Article  PubMed  Google Scholar 

  20. Jaffe MG, Young JD (2016) The Kaiser Permanente Northern California Story: Improving hypertension control from 44% to 90% in 13 years (2000 to 2013). J Clin Hypertens 18:260–261. https://doi.org/10.1111/jch.12803

    Article  Google Scholar 

  21. Man R, Sasongko M, Wang J et al (2015) The association of estimated glomerular filtration rate with diabetic retinopathy and macular edema. Invest Ophthalmol Vis Sci 56:4810–4816. https://doi.org/10.1167/iovs.15-16987

    Article  PubMed  Google Scholar 

  22. Rajalakshmi R, Rani C, Venkatesan U et al (2020) Correlation between markers of renal function and sight threatening diabetic retinopathy in type 2 diabetes: a longitudinal study in an Indian clinic population. BMJ Open Diabetes Res Care 8:1–9. https://doi.org/10.1136/bmjdrc-2020-001325

    Article  Google Scholar 

  23. Wang Z, do Carmo J, Aberdein N et al (2017) Synergistic interaction of hypertension and diabetes in promoting kidney injury and the role of endoplasmic reticulum stress. Hypertension 69:879–891. https://doi.org/10.1161/HYPERTENSIONAHA.116.08560

    Article  CAS  PubMed  Google Scholar 

  24. He F, Xia X, Wu XF et al (2013) Diabetic retinopathy in predicting diabetic nephropathy in patients with type 2 diabetes and renal disease: a meta-analysis. Diabetologia 56:457–466. https://doi.org/10.1007/s00125-012-2796-6

    Article  CAS  PubMed  Google Scholar 

  25. Aspelund T, Thornorisdottir O, Olafsdottir E et al (2011) Individual risk assessment and information technology to optimize screening frequency for diabetic retinopathy. Diabetologia 54:2525–2532. https://doi.org/10.1007/s00125-011-2257-7

    Article  CAS  PubMed  Google Scholar 

  26. Eleuteri A, Fisher AC, Broadbent DM et al (2017) Individualised variable-interval risk-based screening for sight-threatening diabetic retinopathy: the Liverpool Risk Calculation Engine. Diabetologia 60:2174–2182. https://doi.org/10.1007/s00125-017-4386-0

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Agardh E, Tababat-Khani P (2011) Adopting 3-year screening intervals for sight-threatening retinal vascular lesions in type 2 diabetic subjects without retinopathy. Diabetes Care 34:1318–1319. https://doi.org/10.2337/dc10-2308

    Article  PubMed  PubMed Central  Google Scholar 

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Funding

This work was funded by Kaiser Permanente Community Health Grant.

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Correspondence to Ronald B. Melles.

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No conflicting relationship exists for any author.

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This study was performed under Kaiser Permanente Institutional Review Board approval and adhered to the tenets of the Declaration of Helsinki.

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This article belongs to the topical collection Eye Complications of Diabetes, managed by Giuseppe Querques.

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Tarasewicz, D., Conell, C., Gilliam, L.K. et al. Quantification of risk factors for diabetic retinopathy progression. Acta Diabetol 60, 363–369 (2023). https://doi.org/10.1007/s00592-022-02007-6

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  • DOI: https://doi.org/10.1007/s00592-022-02007-6

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