Author(s): van Leiden HA, Dekker JM, Moll AC, Nijpels G, Heine RJ, et al.
Objective: To study potential risk factors for retinopathy in diabetic and nondiabetic individuals.
Research design and methods: The Hoorn Study is a population-based study including 2,484 50- to 74-year-old Caucasians. A subsample of 626 individuals stratified by age, sex, and glucose tolerance underwent extensive measurements during 1989-1992, including ophthalmologic examination and two-field 45-degree fundus photography. The prevalence of (diabetic) retinopathy was assessed among individuals with normal glucose metabolism (NGM) and impaired glucose metabolism (IGM) and individuals with newly diagnosed diabetes mellitus (NDM) and known diabetes mellitus (KDM) (new World Health Organization 1999 criteria).
Results: The prevalence of retinopathy was 9% in NGM, 11% in IGM, 13% in NDM, and 34% in KDM. Retinopathy worse than minimal nonproliferative diabetic retinopathy was present in 8% in KDM and 0-2% in other glucose categories. The prevalence of retinopathy was positively associated with elevated blood pressure, BMI, cholesterol, and triglyceride serum levels in all glucose categories. The age-, sex-, and glucose metabolism category-adjusted odds ratios were 1.5 (95% CI 1.2-1.9), 1.3 (1.0-1.7), and 1.3 (1.0-1.6) per SD increase of systolic blood pressure, BMI, and total cholesterol concentration, respectively, and 1.2 (1.0-1.5) per 50% increase of triglyceride level. Elevated blood pressure and plasma total and LDL cholesterol levels showed associations with retinal hard exudates.
Conclusions: Retinopathy is a multifactorial microvascular complication, which, apart from hyperglycemia, is associated with blood pressure, lipid concentrations, and BMI.
Referred From: https://www.ncbi.nlm.nih.gov/pubmed/12145228
Author(s): Selby JV, Ray GT, Zhang D, Colby CJ
Author(s): Sidorov J, Shull R, Tomcavage J, Girolami S, Lawton N, et al.
Author(s): Cutajar J
Author(s): Costa J, Borges M, David C, Vaz Carneiro A
Author(s): IDF Clinical Guidelines Task Force
Author(s): Lakka HM, Laaksonen DE, Lakka TA, Niskanen LK, Kumpusalo E, et al.
Author(s): Selby JV, Karter AJ, Ackerson LM, Ferrara A, Liu J
Author(s): The Mount Hood 4 Modeling Group
Author(s): Clark CM Jr, Snyder JW, Meek RL, Stutz LM, Parkin CG
Author(s): Marcantonio ER, Goldman L, Mangione CM, Ludwig LE, Muraca B, et al.
Author(s): Stratton IM, Adler AI, Neil HA, Matthews DR, Manley SE, et al.
Author(s): Carr MC, Brunzell JD
Author(s): Stevens RJ, Kothari V, Adler AI, Stratton IM; United Kingdom Prospective Diabetes Study (UKPDS) Group
Author(s): Serrano Rios M
Author(s): Adler AI, Boyko EJ, Ahroni JH, Stensel V, Forsberg RC, et al.
Author(s): Retnakaran R, Cull CA, Thorne KI, Adler AI, Holman RR
Author(s): Adler AI, Stratton IM, Neil HA, Yudkin JS, Matthews DR, et al.
Author(s): Bakris GL, Williams M, Dworkin L, Elliott WJ, Epstein M, et al.
Author(s): Ravid M, Brosh D, Ravid-Safran D, Levy Z, Rachmani R
Author(s): Park JY, Kim HK, Chung YE, Kim SW, Hong SK, et al.
Author(s): Tuomilehto J, Rastenyte D, Birkenhäger WH, Thijs L, Antikainen R, et al.
Author(s): Hansson L, Zanchetti A, Carruthers SG, Dahlöf B, Elmfeldt D, et al.
Author(s): Curb JD, Pressel SL, Cutler JA, Savage PJ, Applegate WB, et al.
Author(s): Anderson JW, Kendall CW, Jenkins DJ
Author(s): Metascreen Writing Committee, Bonadonna R, Cucinotta D, Fedele D, Riccardi G, et al.
Author(s): Costa LA, Canani LH, Lisbôa HR, Tres GS, Gross GL
Author(s): Handelsman Y, Jellinger PS
Author(s): Bonora E, Targher G, Formentini G, Calcaterra F, Lombardi S, et al.