Literature DB >> 21902788

Methodology and early findings of the Diabetes Management Project: a cohort study investigating the barriers to optimal diabetes care in diabetic patients with and without diabetic retinopathy.

Ecosse Luc Lamoureux1, Eva Fenwick, Jing Xie, Annie Mcauley, Theona Nicolaou, Melanie Larizza, Gwyn Rees, Salmaan Qureshi, Tien Yin Wong, Rehab Benarous, Mohamed Dirani.   

Abstract

BACKGROUND: The Diabetes Management Project is investigating the clinical, behavioural and psychosocial barriers to optimal diabetes care in individuals with and without diabetic retinopathy.
DESIGN: Prospective cohort. PARTICIPANTS: Two hundred and twenty-three and 374 patients without and with diabetic retinopathy, respectively.
METHODS: All individuals underwent a comprehensive dilated eye test, anthropometric measurements, blood and urine samples, and psychosocial questionnaires. MAIN OUTCOME MEASURES: Good glycaemic control was defined as glycosylated haemoglobin < 7%, good blood pressure control as systolic and diastolic values ≤130 and 80 mmHg, respectively, and good diabetes control as glycosylated haemoglobin < 7% and blood pressure values ≤130 and 80 mmHg.
RESULTS: Four hundred and one males (65.4%) and 212 females (34.6%) aged 26-90 years (mean age ± standard deviation = 64.6 ± 11.6) were examined. The median glycosylated haemoglobin for all participants was 7.5% (interquartile range = 1.7%). Average systolic and diastolic blood pressure values were 139.7 mmHg (standard deviation = 18.8) and 92.7 mmHg (standard deviation = 30.9), respectively. Initial data analyses indicate that over two-thirds of participants with diabetes have poor glycaemic control, which was worse in those with diabetic retinopathy compared with those without (76.3% vs. 49.3%; P < 0.001). Blood pressure control was similar for those with and without diabetic retinopathy, with almost a third (28.5%) of the total sample having poor blood pressure control. Overall, those with diabetic retinopathy had poorer diabetes control than those without (24.3% vs. 13.7%; P = 0.002).
CONCLUSIONS: Our findings substantiate the implementation of the Diabetes Management Project, developed to assess factors associated with suboptimal diabetes care.
© 2011 The Authors. Clinical and Experimental Ophthalmology © 2011 Royal Australian and New Zealand College of Ophthalmologists.

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Year:  2011        PMID: 21902788     DOI: 10.1111/j.1442-9071.2011.02697.x

Source DB:  PubMed          Journal:  Clin Exp Ophthalmol        ISSN: 1442-6404            Impact factor:   4.207


  5 in total

1.  Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.

Authors:  Daniel Shu Wei Ting; Carol Yim-Lui Cheung; Gilbert Lim; Gavin Siew Wei Tan; Nguyen D Quang; Alfred Gan; Haslina Hamzah; Renata Garcia-Franco; Ian Yew San Yeo; Shu Yen Lee; Edmund Yick Mun Wong; Charumathi Sabanayagam; Mani Baskaran; Farah Ibrahim; Ngiap Chuan Tan; Eric A Finkelstein; Ecosse L Lamoureux; Ian Y Wong; Neil M Bressler; Sobha Sivaprasad; Rohit Varma; Jost B Jonas; Ming Guang He; Ching-Yu Cheng; Gemmy Chui Ming Cheung; Tin Aung; Wynne Hsu; Mong Li Lee; Tien Yin Wong
Journal:  JAMA       Date:  2017-12-12       Impact factor: 56.272

2.  Vision related quality of life in patients with type 2 diabetes in the EUROCONDOR trial.

Authors:  Marina Trento; Olga Durando; Sonia Lavecchia; Lorena Charrier; Franco Cavallo; Miguel Angelo Costa; Cristina Hernández; Rafael Simó; Massimo Porta
Journal:  Endocrine       Date:  2016-09-14       Impact factor: 3.633

3.  Factors associated with knowledge of diabetes in patients with type 2 diabetes using the Diabetes Knowledge Test validated with Rasch analysis.

Authors:  Eva K Fenwick; Jing Xie; Gwyn Rees; Robert P Finger; Ecosse L Lamoureux
Journal:  PLoS One       Date:  2013-12-03       Impact factor: 3.240

Review 4.  Gaps and barriers in the control of blood glucose in people with type 2 diabetes.

Authors:  Lawrence Blonde; Pablo Aschner; Clifford Bailey; Linong Ji; Lawrence A Leiter; Stephan Matthaei
Journal:  Diab Vasc Dis Res       Date:  2017-02-01       Impact factor: 3.291

5.  Combined poor diabetes control indicators are associated with higher risks of diabetic retinopathy and macular edema than poor glycemic control alone.

Authors:  Eva K Fenwick; Jing Xie; Ryan E K Man; Charumathi Sabanayagam; Lyndell Lim; Gwyn Rees; Tien Y Wong; Ecosse L Lamoureux
Journal:  PLoS One       Date:  2017-06-29       Impact factor: 3.240

  5 in total

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