BACKGROUND Globally,it’s estimated that at least 1 billion people have a near and/or distance vision impairment that could have been prevented or is yet to be addressed.The burden of unaddressed vision impairment and...BACKGROUND Globally,it’s estimated that at least 1 billion people have a near and/or distance vision impairment that could have been prevented or is yet to be addressed.The burden of unaddressed vision impairment and blindness is estimated to be four times higher in low and intermediate-resource settings than in high-income settings.[1]展开更多
AIM:To determine the prevalence and associations of non-retinopathy ocular conditions among older Australian adults with diabetes.METHODS:Multistage random-cluster sampling was used to select 3098 non-indigenous Austr...AIM:To determine the prevalence and associations of non-retinopathy ocular conditions among older Australian adults with diabetes.METHODS:Multistage random-cluster sampling was used to select 3098 non-indigenous Australians aged 50 y or older(46.4%male)and 1738 indigenous Australians aged 40 y or older(41.1%male)from all levels of geographic remoteness in Australia.Participants underwent a standardised questionnaire to ascertain diabetes history,and a clinical examination to identify eye disease.We determined the prevalence of uncorrected refractive error,visually significant cataract,cataract surgery,age-related macular degeneration,glaucoma,ocular hypertension,retinal vein occlusion and epiretinal membrane among those with and without self-reported diabetes.RESULTS:Participants with self-reported diabetes had a higher prevalence of cataract surgery than those without diabetes(28.8%vs 16.9%,OR 1.78,95%CI:1.35-2.34 among non-indigenous Australians,and 11.3%vs 5.2%,OR 1.62,95%CI:1.22-2.14 among indigenous Australians).Diabetic retinopathy(DR)increased the odds of cataract surgery among self-reported diabetic indigenous and nonindigenous Australians(OR 1.89,P=0.004 and OR 2.33,P<0.001 respectively).Having diabetes for≥20 y and having vision-threatening DR increased the odds of cataract surgery among indigenous Australians with diabetes(OR 3.73,P=0.001 and 7.58,P<0.001,respectively).CONCLUSION:Most non-retinopathy ocular conditions are not associated with self-reported diabetes.However,to account for Australia’s worsening diabetes epidemic,interventions to reduce the impact of diabetes-related blindness should include increased cataract surgery services.展开更多
Diabetic retinopathy(DR)remains a leading cause of irreversible vision loss in adult populations around the globe.Despite growing evidence of the effectiveness of routine assessments and early intervention,DR screenin...Diabetic retinopathy(DR)remains a leading cause of irreversible vision loss in adult populations around the globe.Despite growing evidence of the effectiveness of routine assessments and early intervention,DR screening strategies are not widely implemented largely due to an inadequate availability of resources to cope with the growing burden of diabetes.Advances in technology in the field of DR screening are clearly warranted and the recent emergence of deep learning-based artificial intelligence(AI)grading of retinal pathology offers significant potential benefits including an increased efficiency,accessibility and affordability of screening programmes.展开更多
文摘BACKGROUND Globally,it’s estimated that at least 1 billion people have a near and/or distance vision impairment that could have been prevented or is yet to be addressed.The burden of unaddressed vision impairment and blindness is estimated to be four times higher in low and intermediate-resource settings than in high-income settings.[1]
基金Supported by Department of Health of the Australian Government,Novartis Australia and the Peggy and Leslie Cranbourne FoundationThe Principal Investigator,Dr Mohamed Dirani,is supported by an NHMRC Career Development Fellowship(No.1090466)supported by an Australian Postgraduate Award scholarship。
文摘AIM:To determine the prevalence and associations of non-retinopathy ocular conditions among older Australian adults with diabetes.METHODS:Multistage random-cluster sampling was used to select 3098 non-indigenous Australians aged 50 y or older(46.4%male)and 1738 indigenous Australians aged 40 y or older(41.1%male)from all levels of geographic remoteness in Australia.Participants underwent a standardised questionnaire to ascertain diabetes history,and a clinical examination to identify eye disease.We determined the prevalence of uncorrected refractive error,visually significant cataract,cataract surgery,age-related macular degeneration,glaucoma,ocular hypertension,retinal vein occlusion and epiretinal membrane among those with and without self-reported diabetes.RESULTS:Participants with self-reported diabetes had a higher prevalence of cataract surgery than those without diabetes(28.8%vs 16.9%,OR 1.78,95%CI:1.35-2.34 among non-indigenous Australians,and 11.3%vs 5.2%,OR 1.62,95%CI:1.22-2.14 among indigenous Australians).Diabetic retinopathy(DR)increased the odds of cataract surgery among self-reported diabetic indigenous and nonindigenous Australians(OR 1.89,P=0.004 and OR 2.33,P<0.001 respectively).Having diabetes for≥20 y and having vision-threatening DR increased the odds of cataract surgery among indigenous Australians with diabetes(OR 3.73,P=0.001 and 7.58,P<0.001,respectively).CONCLUSION:Most non-retinopathy ocular conditions are not associated with self-reported diabetes.However,to account for Australia’s worsening diabetes epidemic,interventions to reduce the impact of diabetes-related blindness should include increased cataract surgery services.
文摘Diabetic retinopathy(DR)remains a leading cause of irreversible vision loss in adult populations around the globe.Despite growing evidence of the effectiveness of routine assessments and early intervention,DR screening strategies are not widely implemented largely due to an inadequate availability of resources to cope with the growing burden of diabetes.Advances in technology in the field of DR screening are clearly warranted and the recent emergence of deep learning-based artificial intelligence(AI)grading of retinal pathology offers significant potential benefits including an increased efficiency,accessibility and affordability of screening programmes.
