Screening for diabetic retinopathy. 1995

G Phillipov, and A Alimat, and P J Phillips, and A C Drew
Queen Elizabeth Hospital, Adelaide, SA.

OBJECTIVE To identify factors associated with a high risk of diabetic retinopathy in order to rank patients for urgency of examination by fundal photography. METHODS Retrospective case survey. METHODS Eight hundred and eighty-eight consecutive diabetic patients who were routinely referred for mydriatic fundal photography to the Queen Elizabeth Hospital, Adelaide, between August 1987 and May 1992. METHODS The prevalence of non-proliferative and proliferative diabetic retinopathy and patient biochemical and demographic characteristics and urinary albumin excretion rate. RESULTS The prevalences of nonproliferative and proliferative diabetic retinopathy were 18.1% and 2.4%, respectively. Multiple logistic regression analysis established that treatment with insulin or oral hypoglycaemic drugs was associated with the highest risk of diabetic retinopathy (odds ratio [OR], 14.7; 95% confidence interval [CI], 3.4-63.2), while duration of diabetes > or = 7 years (OR, 3.6; CI, 1.9-6.8), age 50-66 years (OR, 2.1; 95% CI, 1.1-4.0) and albumin excretion rate > or = 21 micrograms/min (OR, 2.2; 95% CI, 1.1-4.5) were also significant risk factors. Non-significant variables were hypertension, obesity and sex. CONCLUSIONS Diabetic patients may be ranked for urgency of retinal photographic screening based on mode of treatment and duration of diabetes, thereby facilitating examination of patients at highest risk of asymptomatic diabetic retinopathy and increasing the efficiency of the screening program.

UI MeSH Term Description Entries
D007004 Hypoglycemic Agents Substances which lower blood glucose levels. Antidiabetic,Antidiabetic Agent,Antidiabetic Drug,Antidiabetics,Antihyperglycemic,Antihyperglycemic Agent,Hypoglycemic,Hypoglycemic Agent,Hypoglycemic Drug,Antidiabetic Agents,Antidiabetic Drugs,Antihyperglycemic Agents,Antihyperglycemics,Hypoglycemic Drugs,Hypoglycemic Effect,Hypoglycemic Effects,Hypoglycemics,Agent, Antidiabetic,Agent, Antihyperglycemic,Agent, Hypoglycemic,Agents, Antidiabetic,Agents, Antihyperglycemic,Agents, Hypoglycemic,Drug, Antidiabetic,Drug, Hypoglycemic,Drugs, Antidiabetic,Drugs, Hypoglycemic,Effect, Hypoglycemic,Effects, Hypoglycemic
D007328 Insulin A 51-amino acid pancreatic hormone that plays a major role in the regulation of glucose metabolism, directly by suppressing endogenous glucose production (GLYCOGENOLYSIS; GLUCONEOGENESIS) and indirectly by suppressing GLUCAGON secretion and LIPOLYSIS. Native insulin is a globular protein comprised of a zinc-coordinated hexamer. Each insulin monomer containing two chains, A (21 residues) and B (30 residues), linked by two disulfide bonds. Insulin is used as a drug to control insulin-dependent diabetes mellitus (DIABETES MELLITUS, TYPE 1). Iletin,Insulin A Chain,Insulin B Chain,Insulin, Regular,Novolin,Sodium Insulin,Soluble Insulin,Chain, Insulin B,Insulin, Sodium,Insulin, Soluble,Regular Insulin
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D003930 Diabetic Retinopathy Disease of the RETINA as a complication of DIABETES MELLITUS. It is characterized by the progressive microvascular complications, such as ANEURYSM, interretinal EDEMA, and intraocular PATHOLOGIC NEOVASCULARIZATION. Diabetic Retinopathies,Retinopathies, Diabetic,Retinopathy, Diabetic
D005260 Female Females
D005451 Fluorescein Angiography Visualization of a vascular system after intravenous injection of a fluorescein solution. The images may be photographed or televised. It is used especially in studying the retinal and uveal vasculature. Fluorescence Angiography,Fundus Fluorescence Photography,Angiography, Fluorescein,Angiography, Fluorescence,Fluorescence Photography, Fundus,Photography, Fundus Fluorescence
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man

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