Trends in diabetic retinopathy screening attendance and associations with vision impairment attributable to diabetes in a large nationwide cohort.

AIMS: To investigate diabetic retinopathy screening attendance and trends in certified vision impairment caused by diabetic eye disease. METHODS: This was a retrospective study of attendance in three urban UK diabetic eye screening programmes in England. A survival analysis was performed to investigate time from diagnosis to first screen by age and sex. Logistic regression analysis of factors influencing screening attendance during a 15-month reporting period was conducted, as well as analysis of new vision impairment certifications (Certificate of Vision Impairment) in England and Wales from 2009 to 2019. RESULTS: Of those newly registered in the Routine Digital Screening pathway (n = 97 048), 80% attended screening within the first 12 months and 88% by 36 months. Time from registration to first eye screening was longer for people aged 18-34 years, and 20% were unscreened after 3 years. Delay in first screen was associated with increased risk of referable retinopathy. Although 95% of participants (n = 291 296) attended during the 15-month reporting period, uptake varied considerably. Younger age, social deprivation, ethnicity and duration of diabetes were independent predictors of non-attendance and referable retinopathy. Although the last 10 years has seen an overall reduction in vision impairment certification attributable to diabetic eye disease, the incidence of vision impairment in those aged <35 years was unchanged. CONCLUSIONS: Whilst the majority of participants are screened in a timely manner, there is considerable variation in uptake. Young adults, have sub-optimal attendance, and levels of vision impairment in this population have not changed over the last 10 years. There is an urgent need to explore barriers to/enablers of attendance in this group to inform policy initiatives and tailored interventions to address this issue.

Utility of HbA1c assessment in people with diabetes awaiting liver transplantation.

AIMS: To investigate the relationship between HbA1c and glucose in people with co-existing liver disease and diabetes awaiting transplant, and in those with diabetes but no liver disease. METHODS: HbA1c and random plasma glucose data were collected for 125 people with diabetes without liver disease and for 29 people awaiting liver transplant with diabetes and cirrhosis. Cirrhosis was caused by non-alcoholic fatty liver disease, hepatitis C, alcoholic liver disease, hereditary haemochromatosis, polycystic liver/kidneys, cryptogenic/non-cirrhotic portal hypertension and α-1-antitrypsin-related disease. RESULTS: The median (interquartile range) age of the diabetes with cirrhosis group was 55 (49-63) years compared to 60 (50-71) years (P=0.13) in the group without cirrhosis. In the diabetes with cirrhosis group there were 21 men (72%) compared with 86 men (69%) in the group with diabetes and no cirrhosis (P=0.82). Of the group with diabetes and cirrhosis, 27 people (93%) were of white European ethnicity, two (7%) were South Asian and none was of Afro-Caribbean/other ethnicity compared with 94 (75%), 16 (13%), 10 (8%)/5 (4%), respectively, in the group with diabetes and no cirrhosis (P=0.20). Median (interquartile range) HbA1c was 41 (32-56) mmol/mol [5.9 (5.1-7.3)%] vs 61 (52-70) mmol/mol [7.7 (6.9-8.6)%] (P<0.001), respectively, in the diabetes with cirrhosis group vs the diabetes without cirrhosis group. The glucose concentrations were 8.4 (7.0-11.2) mmol/l vs 7.3 (5.2-11.5) mmol/l (P=0.17). HbA1c was depressed by 20 mmol/mol (1.8%; P<0.001) in 28 participants with cirrhosis but elevated by 28 mmol/mol (2.6%) in the participant with α-1-antitrypsin disorder. Those with cirrhosis and depressed HbA1c had fewer larger erythrocytes, and higher red cell distribution width and reticulocyte count. This was reflected in the positive association of glucose with mean cell volume (r=0.39) and haemoglobin level (r=0.49) and the negative association for HbA1c (r=-0.28 and r=-0.26, respectively) in the diabetes group with cirrhosis. CONCLUSION: HbA1c is not an appropriate test for blood glucose in people with cirrhosis and diabetes awaiting transplant as it reflects altered erythrocyte presentation.

Factors determining uptake of diabetic retinopathy screening in Oxfordshire.

AIMS: To investigate variables at the demographic and primary care practice levels that influence the uptake of diabetic retinopathy screening. METHODS: Data were extracted from the management software of one screening programme for 21 797 people registered with 79 general practices. Uptake was examined by gender, age group, modality of screening (mobile unit at general practice versus high-street optometrist), and by general practice. A telephone survey of high-street optometrists provided information on the availability of screening appointments. RESULTS: Uptake was 82.4% during the study period, and was higher for men (83.2%) than for women (81.5%) (P = 0.001). Uptake varied by age group (P < 0.001), being lowest in those aged 12-39 years (67%). Uptake was higher for people invited to a general practice for screening by a mobile unit (83.5%) than for those invited for screening by a high-street optometrist (82%) (P = 0.006). After adjusting for these factors and for socio-economic deprivation score at the location of the general practice, heterogeneity in uptake rate was still observed between some practices. Our survey of optometrists indicated wide variation in the availability of time slots for screening during the week and of screening appointment provision. CONCLUSIONS: Diabetic retinopathy screening services do not achieve high uptake among the youngest or oldest age groups. Practices in the least deprived areas had the highest uptake. Variation in uptake between general practices after adjustment for individual-level variables and deprivation suggests that practice-level factors may have an important role in determining rates of screening attendance.

The use of statistical methodology to determine the accuracy of grading within a diabetic retinopathy screening programme.

AIMS: We aimed to use longitudinal data from an established screening programme with good quality assurance and quality control procedures and a stable well-trained workforce to determine the accuracy of grading in diabetic retinopathy screening. METHODS: We used a continuous time-hidden Markov model with five states to estimate the probability of true progression or regression of retinopathy and the conditional probability of an observed grade given the true grade (misclassification). The true stage of retinopathy was modelled as a function of the duration of diabetes and HbA1c . RESULTS: The modelling dataset consisted of 65 839 grades from 14 187 people. The median number [interquartile range (IQR)] of examinations was 5 (3, 6) and the median (IQR) interval between examinations was 1.04 (0.99, 1.17) years. In total, 14 227 grades (21.6%) were estimated as being misclassified, 10 592 (16.1%) represented over-grading and 3635 (5.5%) represented under-grading. There were 1935 (2.9%) misclassified referrals, 1305 were false-positive results (2.2%) and 630 were false-negative results (1.0%). Misclassification of background diabetic retinopathy as no detectable retinopathy was common (3.4% of all grades) but rarely preceded referable maculopathy or retinopathy. CONCLUSION: Misclassification between lower grades of retinopathy is not uncommon but is unlikely to lead to significant delays in referring people for sight-threatening retinopathy.

Screening attendance, age group and diabetic retinopathy level at first screen.

AIMS: To report on the relationships between age at diagnosis of diabetes, time from registration with the screening programme to first diabetic eye screening and severity of diabetic retinopathy. METHODS: Data were extracted from four English screening programmes and from the Scottish, Welsh and Northern Irish programmes. Time from diagnosis of diabetes to first screening and age at diagnosis were calculated. RESULTS: Time from registration with the screening programme to first screening episode is strongly related to age at registration. Within 18 months of registration 89% of 3958 young people under 18 years of age and 81% of 391 293 people over 35 years of age were seen. In 19 058 people between 18 and 34 years of age, 80% coverage was not reached until 2 years and 9 months. The time from diagnosis of diabetes to first screening is positively associated with severity of disease (P < 0.0001). CONCLUSIONS: This report is the first that to demonstrate that those in the 18-34 year age group are least likely to attend promptly for screening after registration with a higher risk of referable diabetic retinopathy being present at the time of first screen. Date of diagnosis should be recorded and prodigious efforts made to screen all people promptly after diagnosis. Screening programmes should collect data on those who have not attended within one year of registration.

Risk of diabetic retinopathy at first screen in children at 12 and 13 years of age.

AIMS: To investigate the relationships between age at diagnosis of diabetes, age at diabetic eye screening and severity of diabetic retinopathy at first and subsequent screenings in children aged 12 or 13 years. METHODS: Data were extracted from four English screening programmes and from the Scottish, Welsh and Northern Irish programmes on all children with diabetes invited for their first and subsequent screening episodes from the age of 12 years. Retinopathy levels at first and subsequent screens, time from diagnosis of diabetes to first screening and age at diagnosis in years were calculated. RESULTS: Data were available for 2125 children with diabetes screened for the first time at age 12 or 13 years. In those diagnosed with diabetes at 2 years of age or less, the proportion with retinopathy in one or both eyes was 20% and 11%, respectively, decreasing to 8% and 2% in those diagnosed between 2 and 12 years (P < 0.0001). Only three children (aged 8, 10 and 11 years at diagnosis of diabetes) had images graded with referable retinopathy and, of these, two had non-referable diabetic retinopathy at all subsequent screenings. Of 1703 children with subsequent images, 25 were graded with referable diabetic retinopathy over a mean follow-up of 3.1 years, an incidence rate of 4.7 (95% confidence interval, 3.1-7.0) per 1000 per year. CONCLUSIONS: In this large cohort of children, the low prevalence and incidence rates of referable diabetic retinopathy suggest that screening earlier than age 12 is not necessary.

The use of weighted health-related Quality of Life scores in people with diabetic macular oedema at baseline in a randomized clinical trial.

AIMS: To examine the relationship between visual acuity in each eye and Quality of Life (QoL) outcomes in people with diabetic macular oedema. METHODS: Cross sectional retrospective analysis of data collected at baseline in 289 people entered into a randomized clinical trial with diabetic macular oedema which investigated the safety and efficacy of a vascular endothelial growth factor inhibitor, pegaptanib sodium. At the baseline visit, visual acuity was measured through refraction and using retro-illuminated modified Early Treatment Diabetic Retinopathy Study Log MAR charts, and patient health-related QoL was determined using the European Quality of Life EQ-5D-3L and the Visual Functioning Questionnaire-25 (NEI-VFQ25). A regression analysis with QoL score from each vision-related domain as the dependent variable was fitted using linear and quadratic terms of the better and worse eye, age, gender, adjusted for number of concurrent conditions, ethnicity and level of diabetes control. RESULTS: For all vision-related QoL domains from NEI-VFQ25 and EQ-5D-3L except ocular pain, both visual acuity in the better-seeing and the worse-seeing eye gave a significant increase in correlation coefficient over that obtained from clinical and demographic data. The NEI-VFQ25 correlation was most closely associated with a weighted visual acuity measure of 0.75 in the better and 0.25 in the worse eye or 0.60 in the better and 0.40 in the worse eye. CONCLUSIONS: We recommend that a weighted visual acuity measure from both eyes is considered in future diabetic macular oedema trials.

Delay in diabetic retinopathy screening increases the rate of detection of referable diabetic retinopathy.

AIMS: To assess whether there is a relationship between delay in retinopathy screening after diagnosis of type 2 diabetes and level of retinopathy detected. METHODS: Patients were referred from 88 primary care practices to an English National Health Service diabetic eye screening programme. Data for screened patients were extracted from the primary care databases using semi-automated data collection algorithms supplemented by validation processes. The programme uses two-field mydriatic digital photographs graded by a quality assured team. RESULTS: Data were available for 8183 screened patients with diabetes newly diagnosed in 2005, 2006 or 2007. Only 163 with type 1 diabetes were identified and were insufficient for analysis. Data were available for 8020 with newly diagnosed type 2 diabetes. Of these, 3569 were screened within 6 months, 2361 between 6 and 11 months, 1058 between 12 and 17 months, 366 between 18 and 23 months, 428 between 24 and 35 months, and 238 at 3 years or more after diagnosis. There were 5416 (67.5%) graded with no retinopathy, 1629 (20.3%) with background retinopathy in one eye, 753 (9.4%) with background retinopathy in both eyes and 222 (2.8%) had referable diabetic retinopathy. There was a significant trend (P = 0.0004) relating time from diagnosis to screening detecting worsening retinopathy. Of those screened within 6 months of diagnosis, 2.3% had referable retinopathy and, 3 years or more after diagnosis, 4.2% had referable retinopathy. CONCLUSIONS: The rate of detection of referable diabetic retinopathy is elevated in those who were not screened promptly after diagnosis of type 2 diabetes.

Agreement and reasons for disagreement between photographic and hospital biomicroscopy grading of diabetic retinopathy.

AIMS: To compare agreement level and identify reasons for disagreement between grading of mydriatic digital photographs in a diabetic retinopathy screening service and hospital eye service biomicroscopy grading. METHODS: Structured examination findings leading to automatically calculated National Screening Committee grades recorded on an electronic medical record system in the hospital eye service at the first clinic visit after diabetic retinopathy screening service referral between April 2006 and November 2007 were retrospectively compared with the grade at the screening visit that prompted referral. In cases of disagreement, screening images were reviewed. RESULTS: Data on 452 eyes (226 patients) were analysed. For retinopathy, hospital eye service slit-lamp biomicroscopy grades were: R0 (no diabetic retinopathy) in 63 eyes; R1 (background retinopathy) in 251 eyes; R2 (pre-proliferative) in 129 eyes and R3 (proliferative) in nine eyes. Diabetic retinopathy screening service grades were in agreement in 350 eyes (77.4%), showed a lower grade in 59 eyes and a higher grade in 43. Agreement was moderate (κ=0.60). The most common reason for disagreement was overgrading of R1 by clinicians. Hospital eye service biomicroscopy maculopathy grades were: M0 (no maculopathy) in 366 eyes and M1 (maculopathy) in 86 eyes. Diabetic retinopathy screening service grades were in agreement in 327 eyes (72.3%), showed a lower grading in five eyes and a higher grade in 120 eyes. Agreement was moderate (κ=0.41). The commonest cause for disagreement was clinicians failing to identify fine macular exudates. CONCLUSIONS: This study of routine clinical services demonstrates moderate agreement between non-medical grading of mydriatic digital retinal photography images and hospital slit-lamp biomicroscopy grading of patients referred with diabetic retinopathy. The majority of errors in grading were attributable to errors by hospital doctors, usually in the direction of under-grading which could be a potential source of clinical risk if treatment is delayed.

Atorvastatin in Factorial with Omega-3 EE90 Risk Reduction in Diabetes (AFORRD): a randomised controlled trial.

AIMS/HYPOTHESIS: The aim of the study was to examine the impact of statin or omega-3-acid ethyl esters 90 (omega-3 EE90; omega-3-acid ethyl esters 90 refers to a mixture of ethyl esters of n-3 fatty acids) on estimated cardiovascular disease (CVD) risk in community-based people with type 2 diabetes but without known CVD and not taking lipid-lowering therapy. METHODS: A central computer randomised 800 patients in 59 UK general practices to atorvastatin (n = 401, 20 mg/day) or placebo (n = 399) and omega-3 EE90 (n = 397, 2 g/day) or placebo (n = 403) in a concealed factorial manner. Participants with LDL-cholesterol <2.6 mmol/l, triacylglycerol <1.5 mmol/l and estimated 10-year CVD risk <20% were compared at 4 months. RESULTS: Mean (SD) age was 63.5 (11.7) years, HbA(1c) 6.9 (1.1) % and known diabetes duration (median [interquartile range]) was 4 (2-8) years. Fifty-seven per cent were men, 90% white and 74% had an estimated 10-year CVD risk >or=20%. Of 732 patients with 4-month data, more allocated atorvastatin (n = 371) compared with placebo (n = 361) achieved LDL-cholesterol <2.6 mmol/l (91% vs 24%, p < 0.001) and had estimated 10-year CVD risks <20% (38% vs 26%, p < 0.001). No differences were seen between those allocated omega-3 EE90 (n = 371) compared with placebo (n = 361) for participants achieving triacylglycerol <1.5 mmol/l (65% vs 60%, p = 0.18) or estimated 10-year CVD risks <20% (34% vs 30%, p = 0.18). There were no side effects of note. CONCLUSIONS/INTERPRETATION: Many community-based diabetic patients without known CVD remain at high CVD risk despite statin treatment and require additional risk-reduction strategies. The impact of omega-3 EE90 on CVD risk will remain uncertain until clinical endpoint trial results are available. TRIAL REGISTRATION: ISRCT no. 76737502.

Validation of an algorithm combining haemoglobin A(1c) and fasting plasma glucose for diagnosis of diabetes mellitus in UK and Australian populations.

AIM: To determine whether glycated haemoglobin (HbA(1c)) can be used in combination with fasting plasma glucose (FPG) for the diagnosis of diabetes in patients with impaired fasting glucose (IFG) and in a broader spectrum of patients. METHODS: An algorithm was derived from oral glucose tolerance test (OGTT) capillary samples in 500 consecutive UK patients with IFG by World Health Organization criteria. It was validated in a further 500 UK patients and, with venous specimens, in 1175 unselected Australian patients. RESULTS: The derivation cohort was aged 61 years (50-69 years) (median IQ range) with 52% male and 12% South Asian. Diabetes Control and Complications Trial-aligned HbA(1c) was 6.2% (5.8-6.6%) (reference interval < 6.0%) and FPG 6.7 mmol/l (6.3-7.2 mmol/l). FPG was in the diabetes range in 36% of patients, with an OGTT identifying a further 12% with diabetes. The derived algorithm, (HbA(1c) >or= 6.0% with FPG < 7.0 mmol/l) identified those patients requiring an OGTT to diagnose diabetes. When applied to the UK validation cohort, sensitivity was 97% and specificity 100%. The algorithm was equally effective in the unselected group, aged 59 years (49-68 years) and 54% male, with sensitivity 93% and specificity 100%. HbA(1c) was 6.0% (5.6-6.6%) and FPG 6.0 mmol/l (5.3-6.8 mmol/l), with 26% having IFG. Use of the algorithm would reduce the number of OGTTs performed in the UK validation cohort by 33% and by 66% in the Australian patients studied. CONCLUSIONS: Use of this algorithm would simplify procedures for diagnosis of diabetes and could also be used for monitoring pre-diabetes. Validation is now required in other populations and patient groups.

System-level and patient-level explanations for non-attendance at diabetic retinopathy screening in Sutton and Merton (London, UK): a qualitative analysis of a service evaluation.

OBJECTIVES: Non-attendance at diabetic retinopathy screening has financial implications for screening programmes and potential clinical costs to patients. We sought to identify explanations for why patients had never attended a screening appointment (never attendance) in one programme. DESIGN: Qualitative analysis of a service evaluation. SETTING: One South London (UK) diabetic eye screening programme. PARTICIPANTS AND PROCEDURE: Patients who had been registered with one screening programme for at least 18 months and who had never attended screening within the programme were contacted by telephone to ascertain why this was the case. Patients' general practices were also contacted for information about why each patient may not have attended. Framework analysis was used to interpret responses. RESULTS: Of the 296 patients, 38 were not eligible for screening and of the 258 eligible patients, 159 were not contactable (31 of these had phone numbers that were not in use). We obtained reasons from patients/general practices/clinical notes for non-attendance for 146 (57%) patients. A number of patient-level and system-level factors were given to explain non-attendance. Patient-level factors included having other commitments, being anxious about screening, not engaging with any diabetes care and being misinformed about screening. System-level factors included miscommunication about where the patient lives, their clinical situation and practical problems that could have been overcome had their existence been shared between programmes. CONCLUSIONS: This service evaluation provides unique insight into the patient-level and system-level reasons for never attendance at diabetic retinopathy screening. Improved sharing of relevant information between providers has the potential to facilitate increased uptake of screening. Greater awareness of patient-level barriers may help providers offer a more accessible service.

Analysis of the hexokinase II gene in subjects with insulin resistance and NIDDM and detection of a Gln142-->His substitution.

Hexokinase II (HKII) is the predominant hexokinase isozyme expressed in insulin-responsive tissues. Since defects involving glucose transport and/or its phosphorylation to glucose-6-phosphate are present in muscle of insulin-resistant humans, HKII should be viewed as a candidate gene for inherited insulin resistance and susceptibility to non-insulin-dependent diabetes mellitus (NIDDM). To investigate the prevalence of potential mutations in the gene encoding HKII, we used the polymerase chain reaction (PCR) to amplify each of the 18 exons of the HKII gene from genomic DNA derived from 59 subjects: 25 insulin-resistant probands with clinical features of the type A syndrome and 34 NIDDM subjects enrolled in the United Kingdom Prospective Study of Therapies of NIDDM (UKPDS) who represented the highest percentile of fasting hyperinsulinemia in the UKPDS population of 5,098 subjects. PCR products corresponding to individual HKII exons derived from each subject were screened for the presence of nucleotide variation using a sensitive nonradioactive single-strand conformation polymorphism (SSCP) protocol. Variant SSCP patterns indicative of genetic variation were detected only in PCR amplimers containing exons 4-7, 10, 15, and 17. Direct sequencing of amplified DNA from individuals affected with variant SSCP patterns revealed the presence of the following silent polymorphisms: Asp251 (GAT/C) in exon 7 and Asn692 (AAT/C) in exon 15. SSCP variants detected in PCR products containing exons 5, 10, and 17 were due to single base substitutions in flanking intronic sequences. A polymorphic GGA repeat was identified within intron 5.(ABSTRACT TRUNCATED AT 250 WORDS)

Risk factors for stroke in type 2 diabetes mellitus: United Kingdom Prospective Diabetes Study (UKPDS) 29.

OBJECTIVE: To investigate modifiable and nonmodifiable risk factors for stroke in type 2 diabetes mellitus. PATIENTS AND METHODS: A total of 3776 patients aged 25 to 65 years newly diagnosed as having type 2 diabetes mellitus without known cardiovascular or other serious disease were studied for a median of 7.9 years. An initial stepwise evaluation of risk factors was done in 2704 patients with all risk factors measured, with the final Cox model analysis being of 3776 patients who had complete data on the selected variables. RESULTS: Of 3776 patients, 99 (2.6%) had a stroke. Significant risk factors for stroke in a multivariate model were age (estimated hazard ratio [95% confidence interval], 4.78 [2.56-8.92] for > or =60 vs <50 years), male sex (1.63 [1.08-2.47)] vs female), hypertension (2.47 [1.64-3.74)] vs normotension), and in 3728 patients who had electrocardiography at study entry, atrial fibrillation (8.05 [3.52-18.44] vs sinus rhythm). Obesity, lack of exercise, smoking, poor glycemic control, hyperinsulinemia, dyslipidemia, and microalbuminuria were not significantly associated with stroke in the model. CONCLUSION: In patients with type 2 diabetes, aggressive antihypertensive therapy and routine anticoagulation therapy for atrial fibrillation may reduce the risk of stroke.

U.K. Prospective Diabetes Study 22. Effect of age at diagnosis on diabetic tissue damage during the first 6 years of NIDDM.

OBJECTIVE: To assess the effect of age at diagnosis on the initial prevalence and subsequent risk of the progression of diabetic tissue damage in patients with NIDDM. RESEARCH DESIGN AND METHODS: The prevalence of Q-wave myocardial infarction, absent dorsalis pedis pulses, retinopathy, absent ankle jerks, hypertension, and microalbuminuria were determined at baseline and at 3 and 6 years of follow-up in five consecutive 6-year age-cohorts of 3,027 newly diagnosed white patients aged between 36 and 65 years recruited to the U.K. Prospective Diabetes Study. The effect of age at diagnosis on the initial prevalence and the risk of progression of these complications and associated conditions was analyzed using logistic regression and proportional odds methods, respectively. RESULTS: Q-wave myocardial infarction and hypertension were more prevalent in older patients at presentation, but age at diagnosis did not have a significant effect on the increased risk of either after 6 years of NIDDM. Absent dorsalis pedis pulses and ankle jerks were also more prevalent in the older age-groups at presentation, but age at diagnosis was a significant predictor of the increasing prevalence of both during follow-up. The baseline prevalence of retinopathy and microalbuminuria was not related to age. The subsequent risk of retinopathy, but not microalbuminuria, increased significantly with age at diagnosis. CONCLUSIONS: Age at diagnosis has a variable impact on different types of diabetic tissue damage and may thus be an important variable in epidemiological and intervention studies in NIDDM. Regular ophthalmologic surveillance and examination of the feet increase in importance with increasing age since the diagnosis of NIDDM.

UKPDS 20: plasma leptin, obesity, and plasma insulin in type 2 diabetic subjects.

We measured plasma leptin and insulin concentrations across a spectrum of obesity in 829 white Caucasian, 154 Afro-Caribbean, and 204 Asian type 2 diabetic subjects. Although the leptin concentrations covered a large range, there were no subgroups of diabetic subjects with very high or low leptin levels that would suggest mutations in the leptin gene or leptin receptor gene comparable to the obese diabetic ob/ob and db/db mice models respectively. In all three ethnic groups, leptin concentrations correlated with body mass index (BMI) in a similar manner to nondiabetic patients and were higher in females than males after adjustment for BMI, with no difference between ethnic groups. In a multivariate regression analysis, plasma leptin was associated with gender and BMI, (both P < 1 x 10(-17)) and with fasting plasma insulin concentrations (P = 5 x 10(-9)). Subjects treated with insulin had both raised insulin and leptin concentrations. When matched for different therapies, gender, and BMI, diabetic subjects with high leptin levels also had high insulin levels (P < 0.0009). High leptin concentrations may in part be influenced by hyperinsulinemia or impaired insulin sensitivity.

United Kingdom Prospective Diabetes Study, 30: diabetic retinopathy at diagnosis of non-insulin-dependent diabetes mellitus and associated risk factors.

OBJECTIVES: To report on the prevalence of retinopathy in patients with newly diagnosed non-insulin-dependent diabetes mellitus (NIDDM) and to evaluate the relationship of retinopathy to clinical and biochemical variables. DESIGN: A multicenter, randomized, controlled clinical study of therapy in patients with NIDDM. SETTING AND PATIENTS: Patients were part of the United Kingdom Prospective Diabetes Study, a 23-center study of 2964 white patients who had both eyes photographed and assessed. OUTCOME MEASURES: The presence and severity of diabetic retinopathy were evaluated by sex, and the relationship of retinopathy to medical and biochemical parameters was assessed. RESULTS: Retinopathy, defined as microaneurysms or worse lesions in at least 1 eye, was present in 39% of men and 35% of women. Marked retinopathy with cotton wool spots or intraretinal microvascular abnormalities was present in 8% of men and 4% of women. The severity of retinopathy was related in both sexes to higher fasting plasma glucose levels, higher systolic and diastolic blood pressure, lower serum insulin levels, and reduced beta-cell function. In addition, in men, increased alcohol consumption was related to increased severity of retinopathy, while leaner women had more severe eye lesions. Visual acuity was normal in most patients, but in men there was a trend for those with more severe retinal lesions to have worse visual acuity. CONCLUSIONS: Diabetic retinopathy is common in patients with newly diagnosed NIDDM. Careful ophthalmic assessment at diagnosis is important.

Prevalence and pathophysiology of impaired glucose tolerance in three different high-risk white groups.

Insulin resistance and beta-cell function were assessed by a continuous infusion of glucose in the following three groups of white subjects at risk of developing impaired glucose tolerance and diabetes: 41 subjects who were the offspring of patients with type II diabetes, 26 general-population subjects with an increased fasting plasma glucose level of at least 5.6 mmol/L on screening, and 22 subjects who had had gestational diabetes but were now nondiabetic. Subjects had a mean (+/- 1 SD) age of 43 +/- 9 years and a body mass index (BMI) of 27 +/- 5 kg/m2. Subjects with previously increased fasting glucose levels were significantly more insulin resistant than a control group, taking into account BMI, age, and gender (% normal insulin sensitivity [%], 59 [50 to 79] v 87 [73 to 96]; P < .005), and previously gestationally diabetic subjects showed greater impairment of beta-cell function (% normal beta-cell function [% beta], 69 [60 to 87] v 97 [89 to 105]; P < .005). Diabetes (defined by World Health Organization criteria) or impaired glucose tolerance (defined as an achieved plasma glucose concentration [APG] > 95th percentile of an age- and weight-matched population) was identified in 22% of family members, 31% of fasting hyperglycemic subjects, and 41% of previously gestationally diabetic subjects.(ABSTRACT TRUNCATED AT 250 WORDS)