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In 6002 Australian adults with type 2 diabetes and a median 5-year follow-up in the FIELD (Fenofibrate Intervention and Event Lowering in Diabetes) trial, baseline socioeconomic status (SES) and self-reported education level were not related to development of on-trial sight-threatening diabetic retinopathy. Similarly, in a retinal photography substudy (n = 549), two-step diabetic retinopathy progression was not related to SES or education., (© 2023 Royal Australasian College of Physicians.)

Developments in retinal imaging technologies have enabled the quantitative evaluation of the retinal vasculature. Changes in retinal calibre and/or geometry have been reported in systemic vascular diseases, including diabetes mellitus (DM), cardiovascular disease (CVD), and more recently in neurodegenerative diseases, such as dementia. Several retinal vessel analysis softwares exist, some being disease-specific, others for a broader context. In the research setting, retinal vasculature analysis using semi-automated software has identified associations between retinal vessel calibre and geometry and the presence of or risk of DM and its chronic complications, and of CVD and dementia, including in the general population. In this article, we review and compare the most widely used semi-automated retinal vessel analysis softwares and their associations with ocular imaging findings in common systemic diseases, including DM and its chronic complications, CVD, and dementia. We also provide original data comparing retinal calibre grading in people with Type 1 DM using two softwares, with good concordance., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: Nationally, Indigenous Australians are more likely to have diabetes and diabetic retinopathy (DR) than non-Indigenous Australians. However, the prevalence of DR and impaired vision in regional primary care settings is unclear., Aim: To describe the prevalence and severity of DR and presenting vision level among Indigenous Australian adults with diabetes attending an indigenous primary care clinic in regional Australia., Methods: Participants underwent nurse-led retinal imaging and DR screening with offsite retinal grading in the integrated Diabetes Education and Eye Screening (iDEES) project implemented at a regional indigenous primary healthcare setting between January 2018 and March 2020., Results: Of 172 eligible adults, 135 (79%) were recruited and screened for DR and vision level. The median age was 56 (46-67) years, 130 (96%) had type 2 diabetes of median (interquartile range) duration 6 (2-12) years and 48 (36%) were male. Images from 132 (97.8%) participants were gradable. DR was present in 38 (29%) participants: mild non-proliferative in 33 (25%); moderate-severe in three (2.5%); and sight-threatening two (1.5%). Subnormal presenting vision was present in 33%., Conclusions: A nurse-led model of care integrating diabetes eye screening and education at a single visit was successful at recruiting Indigenous Australian adults with diabetes, screening their vision and acquiring a high rate of gradable images. Even for a short duration of known diabetes, DR was present in three out of 10 patients screened., (© 2021 Royal Australasian College of Physicians.)

Background: Whether older immigrant populations from the Mediterranean region, continue to follow the MD long after they immigrated is not known. Aim: Compare adherence to the MD and successful aging levels between Greeks living in Greece (GG) and Greeks living abroad (GA). Methods: Anthropometrical, clinical, psychological, sociodemographic, dietary and lifestyle parameters were assessed in a cross-sectional manner in a sample of 252 GG and 252 GA. Mediterranean Diet Score (MedDietScore range 0-55) was used to assess adherence to the MD. Successful aging was evaluated with the validated successful aging index (SAI range 0-10). Results: GA presented higher adherence to MD (p < 0.001); they were consuming significantly more cereals, legumes, vegetables, and fruits compared to GG. GG consumed significantly more dairy (3.8 ± 2.9 vs. 1.9 ± 2.2, p < 0.001 ) and potatoes (2.4 ± 1.6 vs. 1.9 ± 1.5, p < 0.001 ) compared to GA. Meat ( p = 0.27 ), poultry ( p = 0.72 ), fish ( p = 0.68 ), olive oil ( p = 0.16 ) and alcohol consumption ( p = 0.05 ) were comparable between the two groups (all p's > 0.05). MedDietScore was positively associated with SAI among both groups after adjusting for possible confounders (0.041 ± 0.014, p = 0.003 GG and 0.153 ± 0.035, p < 0.001 GA). Also, legumes, cereals, fruits and vegetables were found to be beneficial for successful aging. Conclusion: Adherence to the MD is associated with higher levels of successful aging among people of the same genetic background living in different environments. However, traditional dietary habits are gradually abandoned in their native countries, when, at the same time, are considered cultural heritage and preserved accordingly among immigrants.

Aim: The aim was to describe vascular risk factors in Australian adults with diabetes attending an Indigenous primary care nurse-led diabetes clinic., Design: This was a cross-sectional descriptive single-site study., Methods: Vascular risk factor data were extracted from the electronic health records of participants in the nurse-led integrated Diabetes Education and Eye disease Screening (iDEES) study at a regional Victorian Indigenous primary health-care clinic between January 2018 and March 2020., Results: Of 172 eligible adults, 135 (79%) provided data. Median (IQR) age was 56 (46-67) years; 89% were Indigenous; 95% had Type 2 diabetes of median (IQR) duration of 6 (2-12) years and 48 (36%) were male. Median HbA1c, blood pressure, cholesterol (total; LDL and HDL), triglycerides, eGFR, CRP and BMI were 8.0% (64 mmol/mol), 127/78 mm Hg, 4.2; 1.9; 1.1 mmol/L, 2.3 mmol/L, 89 ml/min/1.73 m 2 , 7.0 mg/L and 32.4 kg/m 2 . Of nine clinical risk factors, the median (IQR) number of risk factors at target was 4 (3-5) for women and 3 (2-5) for men, p χ2  = 0.563. Clinical targets for BMI, HbA1c, blood pressure, triglycerides, total cholesterol, LDL cholesterol, urine albumin: creatinine ratio, HDL cholesterol and smoking were met by 14%, 34%, 38%, 39%, 44%, 52%, 54%, 62% and 64%, respectively., Conclusion: A nurse-led model of integrated clinical risk factor assessment and diabetes education identified suboptimal levels of clinical risk factor control for avoiding diabetes chronic complications amongst Australian adults with diabetes in an Indigenous primary care setting., Impact: A nurse-led model of diabetes care integrating clinical risk factor assessment into a diabetes education service is achievable. Understanding by stakeholders, including people with diabetes, their clinicians and health services, of the importance of regular monitoring of risk factors impacting diabetes complications is important. The novel nurse-managed iDEES primary-care model of care can assist., Trial Registration: This study was registered with the Australian New Zealand Clinical Trials Registry (ACTRN12618001204235)., (© 2022 John Wiley & Sons Ltd.)

Aims: To determine eye screening coverage and adherence to national eye screening recommendations of a nurse-led retinal image-based model of diabetes education and eye screening in Indigenous primary care clinics., Design: A pre-post study., Methods: During January 2018-March 2020 Indigenous Australians with diabetes at three regional Australian clinics were offered eye screening by a nurse-diabetes educator/retinal imager. At the main site the nurse recruited/scheduled participants, and at satellite sites local clinic staff did so. Visual acuity was tested and digital retinal images acquired and graded. Participants were offered rescreening at or before 12-months based on baseline results., Results: In total 203 adults with diabetes attending Indigenous primary care clinics were screened, with divergent results based on the recruitment methods. At the main clinic 135 of 172 eligible adults (79%) were screened. At the satellite sites, 15 of 85 (18%) and 21 of 77 (27%) diabetes patients were screened. Combined coverage 51%., Conclusion: A credentialed nurse-educator implemented a model of retinal image-based diabetes education, measured eye screening coverage and adherence to national eye screening guidelines, met the 'acceptable 75% eye screening coverage' benchmark and improved patient eye screening guideline adherence at the one site where the nurse-educator had access to patient recruitment and scheduling., Impact: This novel nurse-led primary care iDEES model of retinal image-based diabetes education can improve the currently low Indigenous diabetes eye screening coverage in Australia. Importantly, the nurse-managed iDEES model of integrated diabetes care is readily adaptable to other settings and populations where access to and/or uptake of eye care is suboptimal., Clinical Trial Registration: ANZCTRN1261800120435., (© 2022 John Wiley & Sons Ltd.)

Aim: To assess the prevalence of modifiable health-risk behaviours among Indigenous Australian adults with diabetes attending a regional Victorian Indigenous primary-care clinic., Design: A cross-sectional observational single-site study., Methods: As part of a multi-study project we administered the Smoking, Nutrition, Alcohol consumption, Physical activity and Emotional wellbeing (SNAPE) survey tool during the study baseline visit to methodically capture health-related behavioural data in the nurse-led integrated Diabetes Education and Eye Screening (iDEES) project in a regional Indigenous primary healthcare setting between January 2018 and March 2020. This descriptive SNAPE study helps address the lack of health behaviour data for Indigenous people with diabetes., Results: Of 172 eligible adults, 135 (79%) were recruited to the iDEES study, 50 (37%) male. All participated in at least one survey. Median (range) age was 56 (46-67) years; 130 (96%) had Type 2 diabetes of median [IQR] duration 6 (2-12) years. All 135 provided smoking data; 88 (65%) completed all surveys. Forty-nine (36%) and 29 (22%) were current or former smokers, respectively; 5 (6%) met vegetable intake guidelines, 22 (25%) met fruit intake guidelines; 38 [43%] drank alcohol in the past year. On average, participants walked for ≥10 min at a time 4 days/week and sat for an average of 8 h on weekdays; 35 (40%) had minimal-mild, and 30 (34%) had moderate-severe depressive symptoms., Conclusion: Suboptimal modifiable health-risk behaviours and depressive symptoms are common in Indigenous Australian adults with diabetes., Impact: Orderly assessment and reporting of health-risk behaviours using a single multi-component survey instrument (SNAPE tool) during a nurse-led diabetes education clinical visit is feasible and efficient. Such data may facilitate personalised interventions and improve diabetes management at both individual and health service levels., (© 2022 John Wiley & Sons Ltd.)

Retinal vessel calibre metrics were evaluated at baseline and 2 years in a FIELD substudy (n = 208). Central retinal venule calibre was significantly reduced by fenofibrate and unchanged by placebo. Arteriole metrics did not change. Larger studies relating retinal vessel calibre to future diabetes complications and response to therapy are merited., (© 2022 Royal Australasian College of Physicians.)

Aims: To evaluate the risk algorithm by Aspelund et al. for predicting sight-threatening diabetic retinopathy (STDR) in Type 2 diabetes (T2D), and to develop a new STDR prediction model., Methods: The Aspelund et al. algorithm was used to calculate STDR risk from baseline variables in 1012 participants in the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) ophthalmological substudy, compared to on-trial STDR status, and receiver operating characteristic analysis performed. Using multivariable logistic regression, traditional risk factors and fenofibrate allocation as STDR predictors were evaluated, with bootstrap-based optimism-adjusted estimates of predictive performance calculated., Results: STDR developed in 28 participants. The Aspelund et al. algorithm predicted STDR at 2- and 5-years with area under the curve (AUC) 0.86 (95% CI 0.77-0.94) and 0.86 (0.81-0.92), respectively. In the second model STDR risk factors were any DR at baseline (OR 24.0 [95% CI 5.53-104]), HbA1c (OR 1.95 [1.43-2.64]) and male sex (OR 4.34 [1.32-14.3]), while fenofibrate (OR 0.13 [0.05-0.38]) was protective. This model had excellent discriminatory ability (AUC = 0.89)., Conclusions: The algorithm by Aspelund et al. predicts STDR well in the FIELD ophthalmology substudy. Logistic regression analysis found DR at baseline, male sex, and HbA1c were predictive of STDR and, fenofibrate was protective., (Copyright © 2022 Elsevier B.V. All rights reserved.)