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Yaow CY, Lin SY, Xiao J, Koh JH, Yong JN, Tay PW, Tan ST. A meta-analysis of prevalence of diabetic retinopathy in Asia. Minerva Endocrinol (Torino) 2024; 49:406-418. [PMID: 35195381 DOI: 10.23736/s2724-6507.21.03585-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
INTRODUCTION Diabetic retinopathy (DR) is a common microvascular complication of diabetes. This review reports the prevalence of DR in Asia and guides healthcare provision in screening and treatment. EVIDENCE ACQUISITION Medline was searched for articles describing the prevalence of DR in Asia. Statistical analysis was performed using Freeman-Tukey double arcsine transformation and the DerSimonian and Laird model. The prevalence of DR was estimated according to the following subgroups: Economic status (high, middle, and low income), country, and ethnicity. The risk of bias of the articles was also assessed. EVIDENCE SYNTHESIS A total of 66 studies were included, and out of 2,599,857 patients with diabetes, 201,646 were diagnosed with DR. The overall prevalence of DR, non-proliferative DR (NPDR), proliferative DR (PDR) and maculopathy were recorded at 21.7% (CI: 19.1-24.6%), 19.9% (CI: 17.3-22.8%), 2.3% (CI: 1.6-3.4%) and 4.8% (CI: 3.5-6.7%) respectively. Low-income countries had the lowest prevalence of DR, NPDR, PDR and maculopathy compared to the middle- and high-income countries. Middle-income countries had the highest prevalence of DR (23.9%; CI: 19.4-29.2%), NPDR (21.1%; CI: 17.0-25.9%), moderate NPDR (7.9%; CI: 5.7-11.0%), PDR (3.0%; CI: 1.8-4.9%) and maculopathy (4.7%; CI: 3.0-7.4%), while high-income countries had the highest prevalence of mild (10.3%; CI: 4.2-23.2%) and severe NPDR (3.0%; CI: 1.0-8.4%). CONCLUSIONS One in five people with diabetes have diabetic retinopathy. It is imperative that public healthcare take heeds to heighten the screening program to provide all patients with diabetes equitable access to DR screening and ophthalmology services.
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Affiliation(s)
- Clyve Y Yaow
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore -
| | - Snow Y Lin
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jieling Xiao
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jin H Koh
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jie N Yong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Phoebe W Tay
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - See T Tan
- Sengkang General Hospital, Singapore
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Li L, Hu L, Gao F, Shi Y, Chen C, Zhu X, Liu J, Li X. Prevalence and assessment of diabetic retinopathy in a densely populated suburban area of Tianjin, China - The Beichen Eye Study. Photodiagnosis Photodyn Ther 2024; 50:104385. [PMID: 39461489 DOI: 10.1016/j.pdpdt.2024.104385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 10/17/2024] [Accepted: 10/18/2024] [Indexed: 10/29/2024]
Abstract
PURPOSE The aim of this study is to explore the prevalence, associated risk factors, and the influence of urbanization on the epidemiology of diabetic retinopathy (DR) and diabetic macular edema (DME). METHODS This study utilized a cross-sectional design to survey residents aged 50 and older in the Beichen community, Tianjin. Participants underwent thorough examinations, including questionnaire surveys, laboratory blood tests, eye assessments, fundus photography, and optical coherence tomography (OCT) scans. DR was diagnosed using the retinopathy severity scale from fundus photographs based on the Early Treatment Diabetic Retinopathy Study (ETDRS) classification system. DME was identified through medical history records and OCT evaluations. In this study, we analyzed and assessed the prevalence and risk factors associated with DR and DME. RESULTS The study included 5,648 participants, and 1,182 of these were diagnosed with diabetes. Among the diabetic individuals, the prevalence of DR was 28.8%. Among the eyes of those diagnosed with DR, 37.12% had mild non-proliferative DR (NPDR), 54.81% had moderate NPDR, 6.35% (33 eyes) showed severe NPDR, and 1.73% had proliferative DR (PDR). The prevalence of DME among diabetic patients was 14.13%. Age was negatively correlated with DR (OR, 0.924), while blood glucose levels (OR, 1.123) and the duration of diabetes (OR, 1.090) were positively correlated. Additionally, blood glucose levels (OR, 1.121) and the duration of diabetes (OR, 1.070) were positively associated with DME. CONCLUSION In this study, the prevalence of DR and DME was high in the Beichen District of Tianjin than in other parts of China. Maintaining effective glycemic control is the most important modifiable factor in reducing the risk of DR and DME progression and minimizing the risk of vision loss.
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Affiliation(s)
- Luxi Li
- Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, No. 251 Fukang Road, Xiqing District, Tianjin, 300392, China
| | - Liying Hu
- Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, No. 251 Fukang Road, Xiqing District, Tianjin, 300392, China
| | - Fei Gao
- Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, No. 251 Fukang Road, Xiqing District, Tianjin, 300392, China
| | - Yu Shi
- Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, No. 251 Fukang Road, Xiqing District, Tianjin, 300392, China
| | - Chen Chen
- Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, No. 251 Fukang Road, Xiqing District, Tianjin, 300392, China
| | - Xiuqing Zhu
- Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, No. 251 Fukang Road, Xiqing District, Tianjin, 300392, China
| | - Juping Liu
- Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, No. 251 Fukang Road, Xiqing District, Tianjin, 300392, China.
| | - Xiaorong Li
- Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, No. 251 Fukang Road, Xiqing District, Tianjin, 300392, China.
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Li X, Wen X, Shang X, Liu J, Zhang L, Cui Y, Luo X, Zhang G, Xie J, Huang T, Chen Z, Lyu Z, Wu X, Lan Y, Meng Q. Identification of diabetic retinopathy classification using machine learning algorithms on clinical data and optical coherence tomography angiography. Eye (Lond) 2024; 38:2813-2821. [PMID: 38871934 PMCID: PMC11427469 DOI: 10.1038/s41433-024-03173-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 04/10/2024] [Accepted: 06/06/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND To apply machine learning (ML) algorithms to perform multiclass diabetic retinopathy (DR) classification using both clinical data and optical coherence tomography angiography (OCTA). METHODS In this cross-sectional observational study, clinical data and OCTA parameters from 203 diabetic patients (203 eye) were used to establish the ML models, and those from 169 diabetic patients (169 eye) were used for independent external validation. The random forest, gradient boosting machine (GBM), deep learning and logistic regression algorithms were used to identify the presence of DR, referable DR (RDR) and vision-threatening DR (VTDR). Four different variable patterns based on clinical data and OCTA variables were examined. The algorithms' performance were evaluated using receiver operating characteristic curves and the area under the curve (AUC) was used to assess predictive accuracy. RESULTS The random forest algorithm on OCTA+clinical data-based variables and OCTA+non-laboratory factor-based variables provided the higher AUC values for DR, RDR and VTDR. The GBM algorithm produced similar results, albeit with slightly lower AUC values. Leading predictors of DR status included vessel density, retinal thickness and GCC thickness, as well as the body mass index, waist-to-hip ratio and glucose-lowering treatment. CONCLUSIONS ML-based multiclass DR classification using OCTA and clinical data can provide reliable assistance for screening, referral, and management DR populations.
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Affiliation(s)
- Xiaoli Li
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xin Wen
- Department of Ophthalmology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xianwen Shang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Junbin Liu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Liang Zhang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ying Cui
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xiaoyang Luo
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Guanrong Zhang
- Statistics Section, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Jie Xie
- Department of Ophthalmology, Heyuan People's Hospital, Heyuan, China
| | - Tian Huang
- Department of Ophthalmology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Zhifan Chen
- Department of Ophthalmology, The Fourth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zheng Lyu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xiyu Wu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yuqing Lan
- Department of Ophthalmology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
| | - Qianli Meng
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
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Sune MP, Sune M, Sune P, Dhok A. Prevalence of Retinopathy in Prediabetic Populations: A Systematic Review and Meta-Analysis. Cureus 2023; 15:e49602. [PMID: 38161917 PMCID: PMC10755086 DOI: 10.7759/cureus.49602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/28/2023] [Indexed: 01/03/2024] Open
Abstract
Among the leading causes of vision impairment and blindness globally, diabetic retinopathy (DR) is one of the most important causes. There is increasing evidence of DR prevalence in the prediabetic population. This systematic review presents collective data on retinopathy in the prediabetic population. This review article aimed to estimate the reported prevalence of retinopathy in prediabetes, impaired glucose tolerance test (GTT) without diabetes mellitus, and the risk factors involved and to summarize it. Literature searches were done using the Web of Science, CINAHL, Google Scholar, Cochrane, EMBASE, and PubMed databases from inception to April 2023. Our search included the words prediabetes, DR, and risk factors. All searches were looked at for methodological quality and evidence. Thirty-one studies were included after the screening. Population-based data were used in 23 studies (82.1%). The prediabetic population screened was 10,539. The prevalence of retinopathy ranged between 0.3% and 20.9%, showing a median of 8.1% with an interquartile range (IQR) of 4.2-11%, showing great variance in estimates due to the use of different screening methods, methods used for retinopathy grading, and study populations. Several studies compared the population with normal GTT with impaired glucose tolerance (IGT) and inferred that there was a lower prevalence of retinopathy in the normal GTT population (3.0%, IQR 0.3-7.4%) than prediabetes (6.7%, IQR 1.9-10.1%). According to this data, a greater retinopathy prevalence was found in prediabetic populations.
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Affiliation(s)
- Manjiri P Sune
- Ophthalmology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Mona Sune
- Ophthalmology, Sune Eye Hospital, Wardha, IND
| | | | - Archana Dhok
- Biochemistry, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
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Blot G, Karadayi R, Przegralek L, Sartoris TM, Charles-Messance H, Augustin S, Negrier P, Blond F, Muñiz-Ruvalcaba FP, Rivera-de la Parra D, Vignaud L, Couturier A, Sahel JA, Acar N, Jimenez-Corona A, Delarasse C, Garfias Y, Sennlaub F, Guillonneau X. Perilipin 2-positive mononuclear phagocytes accumulate in the diabetic retina and promote PPARγ-dependent vasodegeneration. J Clin Invest 2023; 133:e161348. [PMID: 37781924 PMCID: PMC10702478 DOI: 10.1172/jci161348] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 08/01/2023] [Indexed: 10/03/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM), characterized by hyperglycemia and dyslipidemia, leads to nonproliferative diabetic retinopathy (NPDR). NPDR is associated with blood-retina barrier disruption, plasma exudates, microvascular degeneration, elevated inflammatory cytokine levels, and monocyte (Mo) infiltration. Whether and how the diabetes-associated changes in plasma lipid and carbohydrate levels modify Mo differentiation remains unknown. Here, we show that mononuclear phagocytes (MPs) in areas of vascular leakage in DR donor retinas expressed perilipin 2 (PLIN2), a marker of intracellular lipid load. Strong upregulation of PLIN2 was also observed when healthy donor Mos were treated with plasma from patients with T2DM or with palmitate concentrations typical of those found in T2DM plasma, but not under high-glucose conditions. PLIN2 expression correlated with the expression of other key genes involved in lipid metabolism (ACADVL, PDK4) and the DR biomarkers ANGPTL4 and CXCL8. Mechanistically, we show that lipid-exposed MPs induced capillary degeneration in ex vivo explants that was inhibited by pharmaceutical inhibition of PPARγ signaling. Our study reveals a mechanism linking dyslipidemia-induced MP polarization to the increased inflammatory cytokine levels and microvascular degeneration that characterize NPDR. This study provides comprehensive insights into the glycemia-independent activation of Mos in T2DM and identifies MP PPARγ as a target for inhibition of lipid-activated MPs in DR.
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Affiliation(s)
- Guillaume Blot
- Institute of Vision, Sorbonne University, INSERM, CNRS, Paris, France
- ED394 Physiology and Physiopathology Doctoral School, Sorbonne University, Paris, France
| | - Rémi Karadayi
- Institute of Vision, Sorbonne University, INSERM, CNRS, Paris, France
| | | | | | - Hugo Charles-Messance
- Institute of Vision, Sorbonne University, INSERM, CNRS, Paris, France
- ED394 Physiology and Physiopathology Doctoral School, Sorbonne University, Paris, France
| | | | - Pierre Negrier
- Institute of Vision, Sorbonne University, INSERM, CNRS, Paris, France
- A. de Rothschild Foundation Hospital, Paris, France
| | - Frédéric Blond
- Institute of Vision, Sorbonne University, INSERM, CNRS, Paris, France
| | | | - David Rivera-de la Parra
- Comprehensive Care Center for Diabetes Patients, Salvador Zubrian National Institute of Health Sciences and Nutrition, Mexico City, Mexico
- Institute of Ophthalmology “Fundación Conde de Valenciana” I.A.P., Mexico City, Mexico
| | - Lucile Vignaud
- Institute of Vision, Sorbonne University, INSERM, CNRS, Paris, France
| | - Aude Couturier
- Institute of Vision, Sorbonne University, INSERM, CNRS, Paris, France
- ED394 Physiology and Physiopathology Doctoral School, Sorbonne University, Paris, France
- Department of Ophthalmology, Hôpital Lariboisière, AP-HP, University of Paris, Paris, France
| | - José-Alain Sahel
- Institute of Vision, Sorbonne University, INSERM, CNRS, Paris, France
- A. de Rothschild Foundation Hospital, Paris, France
- Department of Ophthalmology, The University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- CHNO des Quinze-Vingts, Institut Hospitalo-Universitaire FOReSIGHT, INSERM-DGOS CIC 1423, Paris, France
| | - Niyazi Acar
- Eye and Nutrition Research Group, Center for Taste and Food Sciences, CNRS, INRAE, Institut Agro, Bourgogne Franche-Comté University, Dijon, France
| | - Aida Jimenez-Corona
- Department of Epidemiology and Visual Health, Instituto de Oftalmología Fundación Conde de Valenciana, Mexico City, Mexico
- General Directorate of Epidemiology, Secretariat of Health, Mexico City, Mexico
| | - Cécile Delarasse
- Institute of Vision, Sorbonne University, INSERM, CNRS, Paris, France
| | - Yonathan Garfias
- Department of Biochemistry, School of Medicine, National Autonomous University, Mexico City, Mexico
- Cell and Tissue Biology, Research Unit, Instituto de Oftalmología Fundación Conde de Valenciana”, Mexico City, Mexico
| | - Florian Sennlaub
- Institute of Vision, Sorbonne University, INSERM, CNRS, Paris, France
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Li X, Tan TE, Wong TY, Sun X. Diabetic retinopathy in China: Epidemiology, screening and treatment trends-A review. Clin Exp Ophthalmol 2023; 51:607-626. [PMID: 37381613 DOI: 10.1111/ceo.14269] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 05/26/2023] [Accepted: 06/02/2023] [Indexed: 06/30/2023]
Abstract
Diabetic retinopathy (DR) is the leading cause of vision impairment in the global working-age population. In China, with one-third of the world's diabetes population estimated at 141 million, the blindness prevalence due to DR has increased significantly. The country's geographic variations in socioeconomic status have led to prominent disparities in DR prevalence, screening and management. Reported risk factors for DR in China include the classic ones, such as long diabetes duration, hyperglycaemia, hypertension and rural habitats. There is no national-level DR screening programme in China, but significant pilot efforts are underway for screening innovations. Novel agents with longer durations, noninvasive delivery or multi-target are undergoing clinical trials in China. Although optimised medical insurance policies have enhanced accessibility for expensive therapies like anti-VEGF drugs, further efforts in DR prevention and management in China are required to establish nationwide cost-effective screening programmes, including telemedicine and AI-based solutions, and to improve insurance coverage for related out-of-pocket expenses.
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Affiliation(s)
- Xiaorong Li
- Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, China
| | - Tien-En Tan
- Singapore Eye Research Institute, Singapore, Singapore National Eye Centre, Singapore, Singapore
- Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Tien Y Wong
- Singapore Eye Research Institute, Singapore, Singapore National Eye Centre, Singapore, Singapore
- Duke-National University of Singapore Medical School, Singapore, Singapore
- Tsinghua Medicine, Tsinghua University, Beijing, China
| | - Xiaodong Sun
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
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Vyas A, Raman S, Sen S, Ramasamy K, Rajalakshmi R, Mohan V, Raman R. Machine Learning-Based Diagnosis and Ranking of Risk Factors for Diabetic Retinopathy in Population-Based Studies from South India. Diagnostics (Basel) 2023; 13:2084. [PMID: 37370980 DOI: 10.3390/diagnostics13122084] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 06/03/2023] [Accepted: 06/05/2023] [Indexed: 06/29/2023] Open
Abstract
This paper discusses the importance of investigating DR using machine learning and a computational method to rank DR risk factors by importance using different machine learning models. The dataset was collected from four large population-based studies conducted in India between 2001 and 2010 on the prevalence of DR and its risk factors. We deployed different machine learning models on the dataset to rank the importance of the variables (risk factors). The study uses a t-test and Shapely additive explanations (SHAP) to rank the risk factors. Then, it uses five machine learning models (K-Nearest Neighbor, Decision Tree, Support Vector Machines, Logistic Regression, and Naive Bayes) to identify the unimportant risk factors based on the area under the curve criterion to predict DR. To determine the overall significance of risk variables, a weighted average of each classifier's importance is used. The ranking of risk variables is provided to machine learning models. To construct a model for DR prediction, the combination of risk factors with the highest AUC is chosen. The results show that the risk factors glycosylated hemoglobin and systolic blood pressure were present in the top three risk factors for DR in all five machine learning models when the t-test was used for ranking. Furthermore, the risk factors, namely, systolic blood pressure and history of hypertension, were present in the top five risk factors for DR in all the machine learning models when SHAP was used for ranking. Finally, when an ensemble of the five machine learning models was employed, independently with both the t-test and SHAP, systolic blood pressure and diabetes mellitus duration were present in the top four risk factors for diabetic retinopathy. Decision Tree and K-Nearest Neighbor resulted in the highest AUCs of 0.79 (t-test) and 0.77 (SHAP). Moreover, K-Nearest Neighbor predicted DR with 82.6% (t-test) and 78.3% (SHAP) accuracy.
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Affiliation(s)
- Abhishek Vyas
- Birla Institute of Technology & Science, Pilani 333031, India
| | | | - Sagnik Sen
- Aravind Eye Hospital, Madurai 625020, India
- Moorfields Eye Hospital, London EC1V 2PD, UK
| | | | | | | | - Rajiv Raman
- Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai 600006, India
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Al Ashoor M, Al Hamza A, Zaboon I, Almomin A, Mansour A. Prevalence and risk factors of diabetic retinopathy in Basrah, Iraq. J Med Life 2023; 16:299-306. [PMID: 36937483 PMCID: PMC10015581 DOI: 10.25122/jml-2022-0170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 10/22/2022] [Indexed: 03/21/2023] Open
Abstract
This study aimed to measure the prevalence and risk factors of diabetic retinopathy (DR) among patients with diabetes mellitus aged 20 to 82 years attending the Faiha Diabetes, Endocrine, and Metabolism Center (FDEMC) in Basrah. A cross-sectional study was conducted at FDEMC, including 1542 participants aged 20 to 82 from January 2019 to December 2019. Both eyes were examined for evidence of DR by a mobile nonmydriatic camera, and statistical analysis was performed to measure the prevalence rates (95% CI) for patients with different characteristics. The mean age of participants was 35.9, with 689 males (44.7%; 95% CI: 42.2-47.2%) and 853 females (55.3%; 95% CI: 52.8-57.8%). The prevalence rate of DR was 30.5% (95% CI: 28.1-32.8%), and 11.27% of cases were proliferative retinopathy. DR significantly increased with age (p-value=0.000), it was higher in females (p-value=0.005), and significantly increased with a longer duration of diabetes (p-value<0.001), hyperglycemia (p-value<0.001), hypertension (p-value=0.004), dyslipidemia (p-value<0.001), nephropathy (p-value<0.001) and smoking (p-value<0.001). There was no statistical association between DR and the type of diabetes or obesity. One-third of the participants in this study had DR. Screening and early detection of DR using a simple tool such as a digital camera should be a priority to improve a person's health status.
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Affiliation(s)
- Mohammed Al Ashoor
- Department of Ophthalmology, Al Zahraa Medical College, University of Basrah, Basrah, Iraq
- Department of Ophthalmology, Basrah Teaching Hospital, Basrah, Iraq
- Corresponding Author: Mohammed Al Ashoor, Department of Ophthalmology, Basrah Teaching Hospital, Basrah, Iraq. Department of Ophthalmology, Al Zahraa Medical College, University of Basrah, Basrah, Iraq. E-mail:
| | - Ali Al Hamza
- Department of Medicine, University of Basrah, Basrah, Iraq
| | - Ibrahim Zaboon
- Department of Medicine, University of Basrah, Basrah, Iraq
| | - Ammar Almomin
- Department of Medicine, University of Basrah, Basrah, Iraq
| | - Abbas Mansour
- Department of Medicine, University of Basrah, Basrah, Iraq
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Soleimani M, Alipour F, Taghavi Y, Fatemipour M, Hakimi H, Jamali Z, Khalili P, Ayoobi F, Sheikh M, Tavakoli R, Zand A. Single-Field Fundus Photography for Screening of Diabetic Retinopathy: The Prevalence and Associated Factors in a Population-Based Study. Diabetes Ther 2023; 14:205-217. [PMID: 36480099 PMCID: PMC9880134 DOI: 10.1007/s13300-022-01348-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 11/23/2022] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION We aimed to determine the prevalence and risk factors for diabetic retinopathy (DR) in a multi-primary healthcare facilities-based DR screening project by analyzing single-field fundus photographs among patients with diabetes in Rafsanjan City, Iran, based on the Rafsanjan Cohort Study, as a part of the prospective epidemiological research studies in IrAN (PERSIAN). METHODS Of all participants in the Rafsanjan Cohort Study (performed in four primary healthcare facilities across Rafsanjan City from August 2015 to December 2017), patients with diabetes were recruited in this study. All participants underwent a standardized interview and clinical and paraclinical examinations for demographic characteristics, and medical conditions according to the PERSIAN's protocols. In addition, digital fovea-centered and single-field fundus photography was performed for DR identification and grading. For assessment of agreement, a subgroup of participants underwent fundus examination, randomly. DR was graded as nonproliferative (NPDR) or proliferative (PDR). RESULTS Of 8414 screened participants, 1889 had diabetes. The total prevalence of DR was 6.93% [131 individuals including 110 (5.82%) with NPDR, and 21 (1.11%) with PDR] based on single-field fundus photographs, with almost perfect agreement with fundus examinations (κ = 0.82). On adjusted multivariate analysis, duration of diabetes (OR 1.16, 95% CI 1.13-1.19), positive family history for diabetes (OR 1.73, 95% CI 1.09-2.75), fasting plasma glucose (FPG) ≥ 126 mg/dL (OR 1.98, 95% CI 1.16-3.39), and serum creatinine level (OR 1.79, 95% CI 1.08-2.98) were associated with DR. Factors including age, education level, physical activity, body mass index, hypertension, and cardiovascular and renal diseases did not have association with DR on adjusted multivariate analysis. CONCLUSIONS Single-field fundus photography can be used for screening of DR in primary healthcare facilities. In individuals with diabetes, duration of diabetes, positive family history for diabetes, FPG ≥ 126 mg/dL, and serum creatinine level may be associated with DR.
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Affiliation(s)
- Mohammadreza Soleimani
- Non-Communicable Diseases Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Fateme Alipour
- Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Yousef Taghavi
- Non-Communicable Diseases Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Marjan Fatemipour
- Non-Communicable Diseases Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Hamid Hakimi
- Non-Communicable Diseases Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Zahra Jamali
- Non-Communicable Diseases Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Parvin Khalili
- Non-Communicable Diseases Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Fatemeh Ayoobi
- Non-Communicable Diseases Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Maryam Sheikh
- Non-Communicable Diseases Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Roya Tavakoli
- Non-Communicable Diseases Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Amin Zand
- Non-Communicable Diseases Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
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10
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Meng C, Xing Y, Huo L, Ma H. Relationship Between Estimated Glucose Disposal Rate and Type 2 Diabetic Retinopathy. Diabetes Metab Syndr Obes 2023; 16:807-818. [PMID: 36959899 PMCID: PMC10028301 DOI: 10.2147/dmso.s395818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 03/08/2023] [Indexed: 03/18/2023] Open
Abstract
PURPOSE To investigate the association between diabetic retinopathy (DR), DR intensity, and estimated glucose disposal rate (eGDR) in individuals with type 2 diabetes mellitus (T2DM). PATIENTS AND METHODS This study comprised 1762 T2DM patients who were admitted between January and December, 2021. Overall, the DR was identified in 430 patients. Based on the eGDR, the participants were divided into four study groups. One-way analysis of variance was used to compare the groups. The correlations between eGDR and DR risk, eGDR, and DR severity were analyzed using regression analysis. Furthermore, these relationships were analyzed in different sex groups. RESULTS Patients with T2DM had a 19.75% (348/1762) DR detection rate, whereas those with DR had a 22.41% (78/348) proliferative DR detection rate. The DR group had substantially reduced levels of eGDR compared with the non-DR group. Multivariate logistic regression analysis demonstrated that reduced eGDR was an independent risk factor for DR, after adjusting for confounding variables. eGDR correlated significantly with proliferative DR in women but not in men. CONCLUSION In Chinese individuals with T2DM, lower eGDR was independently associated with a higher risk of DR.
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Affiliation(s)
- Cuiqiao Meng
- Health Examination Center, Hebei General Hospital, Shijiazhuang, People’s Republic of China
| | - Yuling Xing
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
- Graduate School of Hebei Medical University, Shijiazhuang, People’s Republic of China
| | - Lijing Huo
- Department of Clinical Laboratory, Hebei General Hospital, Shijiazhuang, People’s Republic of China
| | - Huijuan Ma
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
- Hebei Key Laboratory of Metabolic Diseases, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Correspondence: Huijuan Ma, Department of Endocrinology, Hebei General Hospital, Shijiazhuang, 050051, People’s Republic of China, Tel +86 18032838686, Email
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11
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Li C, Zhu B, Zhang J, Guan P, Zhang G, Yu H, Yang X, Liu L. Epidemiology, health policy and public health implications of visual impairment and age-related eye diseases in mainland China. Front Public Health 2022; 10:966006. [PMID: 36438305 PMCID: PMC9682104 DOI: 10.3389/fpubh.2022.966006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 10/26/2022] [Indexed: 11/10/2022] Open
Abstract
The prevalence of visual impairment (VI) and age-related eye diseases has increased dramatically with the growing aging population in mainland China. However, there is limited comprehensive evidence on the progress of ophthalmic epidemiological research in mainland China to enhance our awareness of the prevention of eye diseases to inform public health policy. Here, we conducted a literature review of the population-based epidemiology of VI and age-related eye diseases in mainland China from the 1st of January 1946 to the 20th of October 2021. No language restrictions were applied. There was significant demographic and geographic variation in the epidemic of VI and age-related eye diseases. There are several factors known to be correlated to VI and age-related eye diseases, including age, gender, family history, lifestyle, biological factors, and environmental exposures; however, evidence relating to genetic predisposition remains unclear. In addition, posterior segment eye diseases, including age-related macular degeneration and diabetic retinopathy, are amongst the major causes of irreversible visual impairments in the senile Chinese population. There remains a significant prevention gap, with only a few individuals showing awareness and achieving optimal medical care with regards to age-related eye diseases. Multiple challenges and obstacles need to be overcome, including the accelerated aging of the Chinese population, the lack of structured care delivery in many underdeveloped regions, and unequal access to care. Despite the progress to date, there are few well-conducted multi-center population-based studies following a single protocol in mainland China, which findings can hopefully provide valuable cues for governmental decision-making and assist in addressing and halting the incidence of VI and age-related eye diseases in China.
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Affiliation(s)
- Cong Li
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China,School of Medicine, South China University of Technology, Guangzhou, China
| | - Bo Zhu
- Cancer Hospital of China Medical University/Liaoning Cancer Hospital & Institute, Shenyang, China
| | - Jie Zhang
- Department of Retina, Weifang Eye Hospital, Weifang, China
| | - Peng Guan
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Guisen Zhang
- Department of Retina, Inner Mongolia Chaoju Eye Hospital, Hohhot, China
| | - Honghua Yu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China,*Correspondence: Honghua Yu
| | - Xiaohong Yang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China,Xiaohong Yang
| | - Lei Liu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China,Lei Liu
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12
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Tan H, Wang X, Ye K, Lin J, Song E, Gong L. Prevalence and risk factors of diabetic retinopathy among Chinese adults with type 2 diabetes in a suburb of Shanghai, China. PLoS One 2022; 17:e0275617. [PMID: 36194621 PMCID: PMC9531829 DOI: 10.1371/journal.pone.0275617] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 09/20/2022] [Indexed: 11/05/2022] Open
Abstract
Background To investigate the prevalence and risk factors of diabetic retinopathy (DR) in a Chinese population with type 2 diabetes mellitus (T2DM) in a suburb (Qingpu) of Shanghai, China. Methods A population-based cross-sectional study. A total of 7462 residents with T2DM in Qingpu were enrolled according to the resident health archives from January 2020 to December 2020. Blood and urine samples of the subjects were collected. Disc- and macula-centred retinal images were taken to assess DR. SPSS was used to analyse and investigate the prevalence and risk factors of DR. Results The fundus images of 6380 (85.5%) subjects were of sufficiently good quality for grading. The average (range) age of 6380 subjects was 63.46±7.77 (28–92) years. Six hundred forty-four subjects were diagnosed with DR. The prevalence of DR was 10.1% (95% CI 9.4%-10.8%), with mild, moderate, and severe non-proliferative retinopathy and proliferative retinopathy being 2.1%, 6.3%, 1.3% and 0.4%, respectively. The prevalence of bilateral DR was 6.5%. Higher T2DM duration (OR, 1.057), fasting plasma glucose (OR, 1.063), glycated hemoglobinA1c (OR, 1.269), urea nitrogen (OR, 1.059), and urinary albumin (OR, 1.001) were associated with the higher DR prevalence. Conclusion The prevalence of DR among Chinese adults with T2DM in Qingpu was 10.1%, in which non-proliferative DR was more common. Higher fasting plasma glucose and glycated hemoglobinA1c are well-known risk factors of DR, consistent with the findings in our study. Our study didn’t find the risk between lipid indicators and DR. However, several renal function indicators, like higher urea nitrogen and urinary albumin, were risk factors for DR in this study. Appropriate diagnosis and intervention should be taken in time to prevent and control DR development.
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Affiliation(s)
- Huiling Tan
- Department of Ophthalmology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
- Bengbu Medical College, Bengbu, Anhui, China
| | - Xin Wang
- Department of Ophthalmology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
- Bengbu Medical College, Bengbu, Anhui, China
| | - Kaiyou Ye
- Qingpu Center for Disease Prevention and Control, Shanghai, China
| | - Jianmin Lin
- Clinical Laboratory, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
| | - E. Song
- Department of Ophthalmology, Lixiang Eye Hospital of Soochow University, Suzhou, Jiangsu, China
- * E-mail: (ES); (LG)
| | - Lihua Gong
- Department of Ophthalmology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
- * E-mail: (ES); (LG)
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13
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Liu R, Wang X, Wu Q, Dai L, Fang X, Yan T, Son J, Tang S, Li J, Gao Z, Galdran A, Poorneshwaran J, Liu H, Wang J, Chen Y, Porwal P, Wei Tan GS, Yang X, Dai C, Song H, Chen M, Li H, Jia W, Shen D, Sheng B, Zhang P. DeepDRiD: Diabetic Retinopathy-Grading and Image Quality Estimation Challenge. PATTERNS (NEW YORK, N.Y.) 2022; 3:100512. [PMID: 35755875 PMCID: PMC9214346 DOI: 10.1016/j.patter.2022.100512] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 03/28/2022] [Accepted: 04/25/2022] [Indexed: 12/19/2022]
Abstract
We described a challenge named "Diabetic Retinopathy (DR)-Grading and Image Quality Estimation Challenge" in conjunction with ISBI 2020 to hold three sub-challenges and develop deep learning models for DR image assessment and grading. The scientific community responded positively to the challenge, with 34 submissions from 574 registrations. In the challenge, we provided the DeepDRiD dataset containing 2,000 regular DR images (500 patients) and 256 ultra-widefield images (128 patients), both having DR quality and grading annotations. We discussed details of the top 3 algorithms in each sub-challenges. The weighted kappa for DR grading ranged from 0.93 to 0.82, and the accuracy for image quality evaluation ranged from 0.70 to 0.65. The results showed that image quality assessment can be used as a further target for exploration. We also have released the DeepDRiD dataset on GitHub to help develop automatic systems and improve human judgment in DR screening and diagnosis.
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Affiliation(s)
- Ruhan Liu
- Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
- MoE Key Lab of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Xiangning Wang
- Department of Ophthalmology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Qiang Wu
- Department of Ophthalmology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Ling Dai
- Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
- MoE Key Lab of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Xi Fang
- Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Tao Yan
- Department of Electromechanical Engineering, University of Macau, Macao, China
| | | | - Shiqi Tang
- Department of Mathematics, City University of Hong Kong, Hong Kong, China
| | - Jiang Li
- Institute of Image Processing and Pattern Recognition, Department of Automation, Shanghai Jiao Tong University, Shanghai, China
| | - Zijian Gao
- School of Electronic Information, Hangzhou Dianzi University, Hangzhou, China
| | | | | | - Hao Liu
- School of Electronic Information, Hangzhou Dianzi University, Hangzhou, China
| | - Jie Wang
- School of Computer Science and Engineering, Beihang University, Beijing, China
| | - Yerui Chen
- Nanjing University of Science and Technology, Nanjing, China
| | - Prasanna Porwal
- Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India
| | - Gavin Siew Wei Tan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Xiaokang Yang
- MoE Key Lab of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Chao Dai
- Shanghai Zhi Tang Health Technology Co., LTD., China
| | - Haitao Song
- MoE Key Lab of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Mingang Chen
- Shanghai Key Laboratory of Computer Software Testing & Evaluating, Shanghai Development Center of Computer Software Technology, Shanghai, China
| | - Huating Li
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
- Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
- Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Dinggang Shen
- School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
- Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China
| | - Bin Sheng
- Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
- MoE Key Lab of Artificial Intelligence, Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Ping Zhang
- Department of Computer Science and Engineering, The Ohio State University, Ohio, USA
- Department of Biomedical Informatics, The Ohio State University, Ohio, USA
- Translational Data Analytics Institute, The Ohio State University, Ohio, USA
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14
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Qi JY, Zhai G, Wang Y, Liang YB, Li D, Wen L, Zang DX, Feng KM, Zang B, Xie C. Assessment of Knowledge, Attitude, and Practice Regarding Diabetic Retinopathy in an Urban Population in Northeast China. Front Public Health 2022; 10:808988. [PMID: 35359761 PMCID: PMC8962192 DOI: 10.3389/fpubh.2022.808988] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 01/18/2022] [Indexed: 11/13/2022] Open
Abstract
Objective This study aimed to assess the knowledge, attitude, and practice (KAP) of diabetic subjects with diabetic retinopathy (DR) and those without DR (NDR) in an urban community in Northeast China, as well as their risk factors in subjects with DR and NDR. Methods A community-based survey involving 1,662 subjects was conducted in Fushun, China, between July 2012 and May 2013. The subjects included diabetics with DR (n = 783) and those NDR (n = 879), and questionnaires were completed to collect information about their sociodemographic and healthcare characteristics. A Chi-square test and multiple logistic analyses were performed to analyze the data. Results Among the DR group, 21.88% had a good knowledge of DR, 94.15% had a positive attitude, and 68.07% followed good practice, whereas 20.98% of the NDR group had a good knowledge of DR, 94.18% had a positive attitude, and 66.92% followed good practice. There was no significant difference in the KAP of the two groups of subjects. In the NDR group, a good level of knowledge was associated with a high-level of education (OR = 0.1, 0.2; p < 0.05), a good attitude was associated with retirement (OR = 0.2; p < 0.05), and good practice was associated with being female, having a high-level of education, and the type of treatment (OR = 0.5, 0.4, 2.3, 3.1; p < 0.05). In the DR group, good practice was associated with older age and retirement (OR = 0.6, 0.4; p < 0.05). Conclusions There was no significant difference between the DR and NDR subjects in the overall levels of KAP, but both groups showed a poor level of knowledge. Age, gender, education, occupation, and type of treatment were the main factors associated with the KAP scores, more risk factors in the NDR group than in the DR group. There is an urgent need for coordinated educational campaigns with a prioritized focus on the northeast region of China, especially NDR group.
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Affiliation(s)
| | | | - Yu Wang
- Fushun Eye Hospital, Fushun, China
| | - Yuan-Bo Liang
- School of Ophthalmology and Optometry, Wenzhou Medical University, Eye Hospital of Wenzhou Medical University, Wenzhou, China
| | - Dong Li
- Fushun Eye Hospital, Fushun, China
| | | | | | - Ke-Mi Feng
- School of Ophthalmology and Optometry, Wenzhou Medical University, Eye Hospital of Wenzhou Medical University, Wenzhou, China
| | - Bo Zang
- Fushun Eye Hospital, Fushun, China
| | - Cong Xie
- Fushun Eye Hospital, Fushun, China
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15
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Abstract
Diabetes confers an increased risk of microvascular complications, including retinopathy. However, whether prediabetes is also related to retinopathy has not been comprehensively examined. We performed a meta-analysis to evaluate the relationship between prediabetes and retinopathy. This meta-analysis included relevant observational studies from Medline, Embase, and Web of Science databases. A random-effect model after incorporation of the intra-study heterogeneity was selected to pool the results. Subgroup analyses were applied to evaluate the influences of study characteristics on relationship. Nine cross-sectional studies including 14 751 community dwelling adult participants were included; 3847 (26.1%) of them were prediabetic. Results showed that prediabetes was associated with a higher prevalence of retinopathy compared to normoglycemia [odds ratio (OR): 1.55, 95% confidence interval (CI): 1.10-2.20, p=0.01, I2=34%]. Sensitivity analysis by excluding one study at a time showed consistent result (OR: 1.35 to 1.73, p all<0.05). Subgroup analysis showed study characteristics such as definition of prediabetes, country of study, sample size, mean age of participants, or univariate or multivariate analyses may not significantly affect the association (p for subgroup difference all>0.05). Current evidence suggests that patients with prediabetes may be associated with higher prevalence of retinopathy as compared to those with normoglycemia. Although prospective cohort studies are needed to validate these findings, results of our meta-analysis highlighted the importance of early prevention of retinopathy in patients with prediabetes.
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Affiliation(s)
- Ji Jin
- Department of Ophthalmology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Peirong Lu
- Department of Ophthalmology, The First Affiliated Hospital of Soochow University, Suzhou, China
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16
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Liu L, Li Y, Song J, Chen Q, Li S, Mu H, Na J, Zhang R, Yu L, Sun W, Pan G. Current status of premature mortality from four non-communicable diseases and progress towards the Sustainable Development Goal target 3.4: a population-based study in northeast China, 2004-2017. BMC Public Health 2021; 21:1608. [PMID: 34470632 PMCID: PMC8411532 DOI: 10.1186/s12889-021-11611-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 08/08/2021] [Indexed: 12/02/2022] Open
Abstract
Background and aim According to the United Nations’ Sustainable Development Goal (SDG) target 3.4, premature mortality from four non-communicable diseases (cardiovascular diseases, cancer, chronic respiratory diseases, and diabetes mellitus, collectively referred to as NCD4) should achieve a minimum decline of 33% in 2030 relative to 2015. This remains a challenge for China. This study aimed to evaluate the current status and progress towards this target in Liaoning Province, one of the three provinces in northeast China. Methods We calculated the premature mortality rates (PMRs) per year and average annual percentage changes (AAPCs) from NCD4 using mortality data between 2004 and 2017. The trend was analyzed in the whole population, as well as in subpopulations of gender (male/female) and inhabiting area (urban/rural). PMRs from NCD4 for 2030 were projected by fitting a linear regression based on the current trend, which was identified by a Joinpoint model. Findings In the whole population, only chronic respiratory diseases showed a significant decline (AAPC: − 6.5%, p < 0.05), while only cancer showed a significant increase (AAPC: + 1.3%, p < 0.05); taken together, NCD4 showed a significant increase (AAPC: + 0.6%, p < 0.05). In the subpopulations, while males showed a significant increase in NCD4 (AAPC: + 1.5%, p < 0.05), cardiovascular diseases (AAPC: + 1.7%, p < 0.05), cancer (AAPC: + 1.8%, p < 0.05), and diabetes mellitus (AAPC: + 4.2%, p < 0.05), females showed a significant decline in NCD4 (AAPC: − 1.2%, p < 0.05), cardiovascular diseases (AAPC: − 1.8%, p < 0.05), diabetes mellitus (AAPC: − 2.1%, p < 0.05), but showed a mild increase in cancer (AAPC: + 0.5%, p > 0.05). A comparative analysis of the projected PMRs for 2030 with the 2015 levels revealed that only chronic respiratory diseases are expected to achieve the SDG target 3.4, apart from in the urban male subpopulation. Conclusion Except for chronic respiratory diseases, NCD4 cannot be expected to achieve the SDG target 3.4 in the whole population of Liaoning Province. Under these circumstances, special attention should be paid to reducing the risks of cancer and providing preventative interventions for men.
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Affiliation(s)
- Li Liu
- Institute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.,Institute of Chronic Diseases, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, People's Republic of China
| | - Yanxia Li
- Institute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.,Institute of Chronic Diseases, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, People's Republic of China
| | - Junmin Song
- Institute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.,Department of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China
| | - Qian Chen
- Institute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.,Research Center for Universal Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, China
| | - Shuang Li
- Institute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.,Institute of Chronic Diseases, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, People's Republic of China
| | - Huijuan Mu
- Institute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.,Institute of Chronic Diseases, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, People's Republic of China
| | - Jun Na
- Institute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.,Institute of Chronic Diseases, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, People's Republic of China
| | - Rui Zhang
- Institute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.,Institute of Chronic Diseases, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, People's Republic of China
| | - Liya Yu
- Institute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.,Institute of Chronic Diseases, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, People's Republic of China
| | - Wei Sun
- Institute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China.,Research Center for Universal Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, China
| | - Guowei Pan
- Institute of Preventive Medicine, China Medical University, Shenyang, 110122, People's Republic of China. .,Research Center for Universal Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, China.
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17
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Kim J, Seong H, Son KJ, Chung EJ. Declined incidence of patients treated for vision-threatening diabetic retinopathy in South Korea: a 12-year nationwide population-based study. Graefes Arch Clin Exp Ophthalmol 2021; 260:101-111. [PMID: 34410486 DOI: 10.1007/s00417-021-05365-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 08/02/2021] [Accepted: 08/03/2021] [Indexed: 10/20/2022] Open
Abstract
PURPOSE To determine the age- and sex-specific annual incidence rates of patients treated for VTDR and the factors associated with increased treatment rates in patients with type 2 diabetes mellitus (T2DM) in South Korea. METHODS This was a nationwide, retrospective, 12-year, population-based study. Patients aged over 30 years who were diagnosed with T2DM between 2006 and 2017 were included in this study. We evaluated the national health claims data acquired from the Korean National Health Insurance Service database. Main outcome measures were the annual incidence rates of patients treated for VTDR and the associated risk factors. RESULTS The age-adjusted annual incidence rate of patients treated for VTDR significantly decreased from 10.05 per 1000 T2DM patients in 2006 to 6.11 in 2017 (β = - 0.3192, P < 0.0001). The sex-adjusted annual incidence rate also significantly decreased in both men (β = - 0.2861, P < 0.0001) and women (β = - 0.3666, P < 0.0001). Cox hazard analysis showed that factors such as insulin use, young age, chronic kidney disease and male sex were significantly associated with increased rate of treatments for VTDR. In addition, the risk was lower for rural than for metropolitan residents. CONCLUSIONS Despite the increase in the number of T2DM patients in South Korea, the incidence rate of patients treated for VTDR decreases with early diagnosis and appropriate treatment. Therefore, it is important to detect and manage high-risk groups early to prevent visual impairment due to VTDR.
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Affiliation(s)
- Jiwon Kim
- Department of Ophthalmology, National Health Insurance Service Ilsan Hospital, #100 Ilsan-ro, Ilsandong-gu, Gyeonggi-do, 410-719, Goyang, Korea
| | - Hyojin Seong
- Department of Ophthalmology, National Health Insurance Service Ilsan Hospital, #100 Ilsan-ro, Ilsandong-gu, Gyeonggi-do, 410-719, Goyang, Korea.,Department of Ophthalmology, Yonsei University College of Medicine, Seoul, Korea
| | - Kang Ju Son
- Department of Research and Analysis, National Health Insurance Service Ilsan Hospital, Goyang, Korea
| | - Eun Jee Chung
- Department of Ophthalmology, National Health Insurance Service Ilsan Hospital, #100 Ilsan-ro, Ilsandong-gu, Gyeonggi-do, 410-719, Goyang, Korea.
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18
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Hashemi H, Rezvan F, Pakzad R, Ansaripour A, Heydarian S, Yekta A, Ostadimoghaddam H, Pakbin M, Khabazkhoob M. Global and Regional Prevalence of Diabetic Retinopathy; A Comprehensive Systematic Review and Meta-analysis. Semin Ophthalmol 2021; 37:291-306. [PMID: 34402390 DOI: 10.1080/08820538.2021.1962920] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE We conducted a systematic search to estimate DR prevalence in different age and gender groups, and to evaluate the determinants of heterogeneity in its prevalence. METHODS A systematic and comprehensive search from inception to August 10, 2020, was done in international databases, including Scopus, PubMed, Web of Science, Embase, and other data sources without any restriction to find cross-sectional studies related to the prevalence of DR. RESULTS Of 6399 studies, 90 articles with a sample size of 563460 individuals and 204189 diabetic patients were analyzed. The estimated pooled prevalence of DR in the diabetic population in general; in female and in male was 28.41% (95% CI: 25.98 to 30.84); 25.93% (95% CI: 23.54 to 28.31) and 28.95% (95% CI: 26.57 to 31.32); respectively and the prevalence of DR showed no inter-gender difference. The heterogeneity of the pooled prevalence according to I2 was 99% (p < .001). According to the meta-regression results, the variables of WHO region (Coefficient of AMRO vs SEARO: 15.56; p: 0.002), age (Coefficient of above 60 years vs below 40 year: 18.67; p: 0.001), type of DR (Coefficient: 19.01; p < .001), and publication year (Coefficient: -0.60; p: 0.001) had a significant correlation with heterogeneity. CONCLUSION One third of diabetic patients suffered from DR, mostly NPDR. DR increased markedly after the age of 60 years, which could be due to the longer duration of diabetes. Age, WHO region, type of DR, and publication year affected the heterogeneity in the prevalence of DR.
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Affiliation(s)
- Hassan Hashemi
- Noor Research Center for Ophthalmic Epidemiology, Noor Eye Hospital, Tehran, Iran
| | - Farhad Rezvan
- Noor Ophthalmology Research Center, Noor Eye Hospital, Tehran, Iran
| | - Reza Pakzad
- Department of Epidemiology, Faculty of Health, Ilam University of Medical Sciences, Ilam, Iran
| | | | | | - Abbasali Yekta
- Department of Optometry, School of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.,Department of Rehabilitation Science, School of Allied Medical Sciences, Mazandaran University of Medical Sciences, Sari, Iran
| | - Hadi Ostadimoghaddam
- Refractive Errors Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mojgan Pakbin
- Noor Research Center for Ophthalmic Epidemiology, Noor Eye Hospital, Tehran, Iran
| | - Mehdi Khabazkhoob
- Department of Basic Sciences, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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19
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Zhang P, Xue WW, Huang XB, Xu Y, Lu LN, Zheng KR, Zou HD. Prevalence and risk factors of diabetic retinopathy in patients with type 2 diabetes in Shanghai. Int J Ophthalmol 2021; 14:1066-1072. [PMID: 34282393 DOI: 10.18240/ijo.2021.07.16] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 02/18/2021] [Indexed: 01/02/2023] Open
Abstract
AIM To investigate the prevalence of diabetic retinopathy (DR) in residents of Shanghai and analyze the risk factors of DR. METHODS This study involved 7233 patients with diabetes in 2016. The demographic data of the participants were collected using a questionnaire survey. Physical examination, laboratory tests, and ophthalmological examinations were conducted. Two professional ophthalmologists diagnosed and graded DR by fundus examination and then combined the results with fundus images. The unconditional multivariate Logistic regression analysis was used to determine the risk factors. RESULTS In total, 6978 patients with type 2 diabetes in Shanghai with a mean age of 68.33±8.40y were recruited, including 2975 males (42.6%) and 4003 females (57.4%). Overall, 1184 patients were diagnosed with DR, with a prevalence rate of 16.97%. Regression analysis showed that duration of diabetes (OR 1.061, 95%CI 1.049-1.073), high systolic blood pressure (SBP; OR 1.071, 95%CI 1.037-1.106), increased glycosylated hemoglobin level (OR 1.234, 95%CI 1.162-1.311), high blood glucose level (OR 1.061, 95%CI 1.023-1.099), increased neutrophil-to-lymphocyte ratio (NLR; OR 1.132, 95%CI 1.053-1.217) and mean platelet volume (MPV; OR 1.077, 95%CI 1.016-1.142) were risk factors of DR. Conversely, hematocrit (HCT; OR 0.971, 95%CI 0.954-0.988) and mean corpuscular volume (MCV; OR 0.980, 95%CI 0.965-0.994) were protective factors. CONCLUSION The prevalence rate of DR in Shanghai is 16.97%. The duration of diabetes, high SBP, increased glycosylated hemoglobin, NLR, and MPV were determined as risk factors of DR.
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Affiliation(s)
- Pei Zhang
- Department of Ophthalmology, Shanghai Gonghui Hospital, Shanghai 200041, China
| | - Wen-Wen Xue
- Department of Ophthalmology, Shanghai Eye Disease Prevention and Treatment Center, Shanghai 200040, China
| | - Xiao-Bo Huang
- Department of Ophthalmology, the Second Affiliated Hospital of Nantong University, Nantong 226000, Jiangsu Province, China
| | - Yi Xu
- Department of Ophthalmology, Shanghai Eye Disease Prevention and Treatment Center, Shanghai 200040, China
| | - Li-Na Lu
- Department of Ophthalmology, Shanghai Eye Disease Prevention and Treatment Center, Shanghai 200040, China
| | - Kai-Rong Zheng
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
| | - Hai-Dong Zou
- Department of Ophthalmology, Shanghai Eye Disease Prevention and Treatment Center, Shanghai 200040, China.,Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
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20
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A deep learning system for detecting diabetic retinopathy across the disease spectrum. Nat Commun 2021; 12:3242. [PMID: 34050158 PMCID: PMC8163820 DOI: 10.1038/s41467-021-23458-5] [Citation(s) in RCA: 122] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 04/29/2021] [Indexed: 12/11/2022] Open
Abstract
Retinal screening contributes to early detection of diabetic retinopathy and timely treatment. To facilitate the screening process, we develop a deep learning system, named DeepDR, that can detect early-to-late stages of diabetic retinopathy. DeepDR is trained for real-time image quality assessment, lesion detection and grading using 466,247 fundus images from 121,342 patients with diabetes. Evaluation is performed on a local dataset with 200,136 fundus images from 52,004 patients and three external datasets with a total of 209,322 images. The area under the receiver operating characteristic curves for detecting microaneurysms, cotton-wool spots, hard exudates and hemorrhages are 0.901, 0.941, 0.954 and 0.967, respectively. The grading of diabetic retinopathy as mild, moderate, severe and proliferative achieves area under the curves of 0.943, 0.955, 0.960 and 0.972, respectively. In external validations, the area under the curves for grading range from 0.916 to 0.970, which further supports the system is efficient for diabetic retinopathy grading.
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21
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Lin YK, Gao B, Liu L, Ang L, Mizokami-Stout K, Pop-Busui R, Zhang L. The Prevalence of Diabetic Microvascular Complications in China and the USA. Curr Diab Rep 2021; 21:16. [PMID: 33835284 DOI: 10.1007/s11892-021-01387-3] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/25/2021] [Indexed: 01/19/2023]
Abstract
PURPOSE OF REVIEW Diabetes can lead to development of devastating microvascular complications, such as nephropathy, retinopathy, and peripheral sensory and autonomic neuropathy. While China and the USA both face the threat of this major public health challenge, the literature is limited in describing similarities and differences in the prevalence, and risk factors for the development, of diabetic microvascular complications between these two countries. RECENT FINDINGS The current review discusses the following: (1) the most recent evidence on prevalence of diabetic microvascular complications in China and the USA (including downtrends of diabetes retinopathy and neuropathy in the USA); (2) differences in patient risk factors of these complications; (3) challenges and current knowledge gaps (such as lacking national epidemiological data of diabetic complications in China); and (4) potential future clinical and research opportunities (including needs in diabetes evaluation and management in remote areas and standardization of methods in evaluating diabetic complications across countries). Diabetic microvascular complications remain to be health threats in both China and the USA. Further investigations are needed for comprehensive understanding and effect prevention and management of these complications.
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Affiliation(s)
- Yu Kuei Lin
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Brehm Tower 5119, 1000 Wall Street, Ann Arbor, MI, USA.
| | - Bixia Gao
- Department of Medicine, Peking University First Hospital, Beijing, China
| | - Lili Liu
- Department of Medicine, Peking University First Hospital, Beijing, China
| | - Lynn Ang
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | | | - Rodica Pop-Busui
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Luxia Zhang
- Renal Division, Department of Medicine, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, China.
- Key Laboratory of Renal Disease, National Health Commission of the People's Republic of China, Beijing, China.
- Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing, China.
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22
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Xing L, Tian Y, Jing L, Lin M, Du Z, Sun Q, Dai D, Shi L, Yang Z, Liu S. Status and disparities of diabetes among urban and rural residents aged 40 years and older: insight from a population-based study in northeast China, 2017-2019. J Epidemiol Community Health 2021; 75:800-808. [PMID: 33526514 DOI: 10.1136/jech-2020-213755] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 11/15/2020] [Accepted: 01/18/2021] [Indexed: 12/21/2022]
Abstract
OBJECTIVES To evaluate the up-to-date epidemiology of diabetes in northeast China. METHODS The cross-sectional study was conducted between September 2017 and March 2019 using a multistage, stratified and cluster random sampling method. 18 796 participants (28.9% urban and 71.1% rural) aged ≥40 years were enrolled. Diabetes and pre-diabetes were diagnosed according to the history, fasting plasma glucose (FPG) and glycosylated haemoglobin A1c (HbA1c) levels. RESULTS The prevalence of diabetes was 17.1%, higher in urban than in rural residents (20.2% vs 15.8%, p<0.001). Meanwhile, the prevalence of pre-diabetes was 44.3%, higher in rural than in urban areas (49.4% vs 31.8%, p<0.001). The overall FPG and HbA1c were 6.10±1.94 mmol/L and 5.59%±1.08%. The FPG level was higher in rural area than in urban areas (6.15±1.83 mmol/L vs 5.97±2.18 mmol/L, p<0.001). Among participants with diabetes, 47.5% were aware of their diabetes condition; 39.5% were taking antidiabetic medications and 36.8% of people had their diabetes controlled. The awareness and treatment rates in rural areas were lower than those in urban areas (47.3% vs 57.5%, 34.4% vs 49.5%, p<0.001). Patients with diabetic, especially those in rural areas, tended to have multiple risk factors including hypertension (71.7%), overweight or obesity (69.6%) and dyslipidaemia (52.8%). CONCLUSION A considerable burden of diabetes was observed in northeast China, with high percentage of untreated diabetes, high prevalence of pre-diabetes, high overall FPG level and multiple uncontrolled risk factors in patients with diabetics. Therefore, region-specific strategies on prevention and management of diabetes should be emphasised.
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Affiliation(s)
- Liying Xing
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China.,Department of Chronic Disease, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, China
| | - Yuanmeng Tian
- Department of Chronic Disease, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, China
| | - Li Jing
- Department of Chronic Disease, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, China
| | - Min Lin
- Department of Cardiology, Central Hospital of Ben Xi City, Benxi, China
| | - Zhi Du
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Qun Sun
- Department of Chronic Disease, Disease Control and Prevention of Chao Yang City, Shenyang, China
| | - Dong Dai
- Department of Chronic Disease, Disease Control and Prevention of Dan Dong City, Dandong, China
| | - Lei Shi
- Department of Chronic Disease, Disease Control and Prevention of Liao Yang City, Liaoyang, China
| | - Zuosen Yang
- Department of Chronic Disease, Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, China
| | - Shuang Liu
- Department of Cardiovascular Ultrasound, China Medical University First Hospital, Shenyang, Liaoning, China
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23
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Yi QX, Zhu LN, Ma J, Yu XJ, Liu L, Shen J. Use of Anthropometric Measures of Obesity to Predict Diabetic Retinopathy in Patients with Type 2 Diabetes in China. Diabetes Metab Syndr Obes 2021; 14:4089-4095. [PMID: 34594120 PMCID: PMC8477615 DOI: 10.2147/dmso.s321030] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 08/25/2021] [Indexed: 04/20/2023] Open
Abstract
PURPOSE Obesity is an established risk factor for type 2 diabetes (T2D). Diabetic retinopathy (DR) is a major microvascular complication of T2D. In this cross-sectional study, we investigated the association between various anthropometric indices of obesity and DR. PATIENTS AND METHODS A representative sample of 1952 patients with T2D participated in this cross-sectional study conducted in Shanghai, China. Anthropometric measures of obesity including weight, height, waist circumference, hip circumference, body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were evaluated. The association between WHtR, WHR, and BMI and the presence of DR was examined with logistic regression models. RESULTS The prevalence of DR was higher in T2D patients with high WHtR compared to those with normal WHtR (p<0.05). A higher BMI was associated with elevated risk of DR (model 1, p=0.034; model 2, p=0.036). WHR was unrelated to the occurrence of DR (p>0.05). CONCLUSION WHtR and BMI but not WHR are risk factors for DR in obese patients with T2D. Patients with high WHtR and BMI should be closely monitored to prevent the development of DR.
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Affiliation(s)
- Qiu-Xue Yi
- Department of Ophthalmology, Renji Hospital Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, People’s Republic of China
| | - Li-Na Zhu
- Department of Ophthalmology, Renji Hospital Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, People’s Republic of China
| | - Jing Ma
- Department of Endocrinology, Renji Hospital Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, People’s Republic of China
| | - Xin-Jie Yu
- Department of Ophthalmology, Renji Hospital Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, People’s Republic of China
| | - Lin Liu
- Department of Ophthalmology, Renji Hospital Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, People’s Republic of China
- Correspondence: Lin Liu; Jie Shen Department of Ophthalmology, Renji Hospital Affiliated with Shanghai Jiao Tong University School of Medicine, No. 160 Pujian Road, Pudong New District, Shanghai, 200127, People’s Republic of China Email ;
| | - Jie Shen
- Department of Ophthalmology, Renji Hospital Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, People’s Republic of China
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24
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Fine-scale genetic structure of the overwintering Chilo suppressalis in the typical bivoltine areas of northern China. PLoS One 2020; 15:e0243999. [PMID: 33326485 PMCID: PMC7743936 DOI: 10.1371/journal.pone.0243999] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 12/01/2020] [Indexed: 11/19/2022] Open
Abstract
The rice stem borer (RSB), Chilo suppressalis (Lepidoptera: Pyralidae), is an important agricultural pest that has caused serious economic losses in the major rice-producing areas of China. To effectively control this pest, we investigated the genetic diversity, genetic differentiation and genetic structure of 16 overwintering populations in the typical bivoltine areas of northern China based on 12 nuclear microsatellite loci. Moderate levels of genetic diversity and genetic differentiation among the studied populations were detected. Neighbour-joining dendrograms, Bayesian clustering and principal coordinate analysis (PCoA) consistently divided these populations into three genetic clades: western, eastern and northern/central. Isolation by distance (IBD) and spatial autocorrelation analyses demonstrated no correlation between genetic distance and geographic distance. Bottleneck analysis illustrated that RSB populations had not undergone severe bottleneck effects in these regions. Accordingly, our results provide new insights into the genetic relationships of overwintering RSB populations and thus contribute to developing effective management strategies for this pest.
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25
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Rajamanickam A, Munisankar S, Dolla CK, Thiruvengadam K, Babu S. Impact of malnutrition on systemic immune and metabolic profiles in type 2 diabetes. BMC Endocr Disord 2020; 20:168. [PMID: 33183277 PMCID: PMC7659078 DOI: 10.1186/s12902-020-00649-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 11/03/2020] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND While obesity and overweight status are firmly established risk factors for Type 2 diabetes mellitus (T2DM), a substantial proportion of diabetic individuals, especially in Africa and Asia, are often underweight or normal weight. However, very little is known about the immunological and metabolic profiles of these individuals. METHODS This study aimed to assess the relationship between malnutrition and Type 2 diabetes mellitus (T2DM). We examined a variety of analytes associated with the immunological and metabolic profiles of T2DM individuals with low (< 18.5 kg/m2) or normal (18.5-24.9 kg/m2) body mass index (BMI). To this end, we measured plasma levels of HbA1c, glucose, insulin, glucagon, adipocytokines and Type 1, Type 2, Type 17, pro-inflammatory and regulatory cytokines in T2DM individuals with low BMI (LBMI) or normal BMI (NBMI) with small sample size n = 44 in each group. RESULTS LBMI individuals exhibited significantly higher levels of HbA1c, random blood glucose, insulin and glucagon compared to NBMI individuals. Similarly, LBMI individuals exhibited significantly higher levels of adiponectin and adipsin and significantly lower levels of leptin in comparison to NBMI individuals. LBMI individuals also exhibited significantly lower levels of the Type 1, Type 2, Type 17, pro-inflammatory and regulatory cytokines in comparison to NBMI individuals. Finally, while the metabolic parameters exhibited a significant negative correlation with BMI, the immunological parameters exhibited a significant positive correlation with BMI. CONCLUSIONS Malnutrition is associated with a significant modulation of glycemic, hormonal and cytokine parameters in T2DM. Hence, the biochemical and immunological profiles of T2DM is significantly influenced by BMI.
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Affiliation(s)
- Anuradha Rajamanickam
- National Institute of Health-NIRT-International Center for Excellence in Research, Chetpet, Chennai, 600031, India.
| | - Saravanan Munisankar
- National Institute of Health-NIRT-International Center for Excellence in Research, Chetpet, Chennai, 600031, India
| | | | | | - Subash Babu
- National Institute of Health-NIRT-International Center for Excellence in Research, Chetpet, Chennai, 600031, India
- Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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26
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Lin Q, Liu J, Xu S, Ning X, Tu J, Yang Q, Wang J. Epidemiological Features of Glycemic Levels and Relative Determinants at Different Altitudes Among Tibetans in China: A Cross-Sectional Population-Based Study. Front Public Health 2020; 8:472. [PMID: 33014972 PMCID: PMC7511752 DOI: 10.3389/fpubh.2020.00472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Accepted: 07/27/2020] [Indexed: 12/02/2022] Open
Abstract
Risk factors associated with diabetes mellitus have been widely researched worldwide, but the determinants of glycemic levels among Tibetans in China are currently unclear. We thus aimed to determine the relationship between altitude and glycemic levels and to identify factors associated with glycemic levels among Tibetans in China. In 2011, a total of 1,659 Tibetans (aged ≥18 years) from Changdu, China, were enrolled to this cross-sectional research. Potential factors associated with postprandial glucose (PPG), fasting plasma glucose (FPG), and insulin (INS) levels were assessed. FPG and PPG levels increased with age and total cholesterol (TC) level. In addition, FPG levels were higher among patients with rural residence and hypertension, while PPG levels increased with increasing BMI. INS levels increased with residence, lower education, higher BMI, and higher TG levels and decreased with higher altitude and TC levels. Moreover, risk factors for FPG, PPG, and INS differed in those residing at a higher altitude. These findings identify several important risk factors that affect glycemic levels and may be used to develop effective strategies for metabolic disease prevention among populations in high-altitude areas. Furthermore, these findings suggest that it is necessary to formulate a standard for PPG, FPG, and INS in high-altitude areas.
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Affiliation(s)
- Qiuxing Lin
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China.,Key Laboratory of Post-Neuroinjury Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Neurological Institute, Tianjin, China
| | - Jie Liu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China.,Key Laboratory of Post-Neuroinjury Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Neurological Institute, Tianjin, China
| | - Shaopeng Xu
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xianjia Ning
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China.,Key Laboratory of Post-Neuroinjury Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Neurological Institute, Tianjin, China
| | - Jun Tu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China.,Key Laboratory of Post-Neuroinjury Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Neurological Institute, Tianjin, China
| | - Qing Yang
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Jinghua Wang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China.,Key Laboratory of Post-Neuroinjury Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Neurological Institute, Tianjin, China
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27
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Chen T, Jin L, Zhu W, Wang C, Zhang G, Wang X, Wang J, Yang K, Cochrane GM, Lamoureux EL, Friedman DS, Gilbert S, Lansingh VC, Resnikoff S, Zhao J, Xiao B, He M, Congdon N. Knowledge, attitudes and eye health-seeking behaviours in a population-based sample of people with diabetes in rural China. Br J Ophthalmol 2020; 105:806-811. [PMID: 32737033 DOI: 10.1136/bjophthalmol-2020-316105] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 05/05/2020] [Accepted: 06/12/2020] [Indexed: 12/23/2022]
Abstract
AIMS To assess knowledge of diabetes and acceptance of eye care among people with diabetes in rural China, to improve service uptake. METHODS Population-based study of people in Guangdong, China, with glycosylated haemoglobin A1c≥6.5% and/or known history of diabetes. Between August and November 2014, participants answered a questionnaire (based on Delphi process/previous focus groups) on medical history, demographic characteristics, self-rated health and vision, knowledge about diabetes and diabetic retinopathy, quality of local healthcare, barriers to treatment, likely acceptance of eye exams and treatment, and interventions rated most likely to improve service uptake. Presenting visual acuity was assessed, fundus photography performed and images graded by trained graders. Potential predictors of accepting care were evaluated and confounders adjusted for using logistic regression. RESULTS A total of 562 people (9.6% (256/5825), mean age 66.2±9.84 years, 207 (36.8%) men) had diabetes, 118 (22.3%) previously diagnosed. 'Very likely' or 'likely' acceptance of laser treatment (140/530=26.4%) was lower than for eye exams (317/530=59.8%, p<0.001). Predictors of accepting both exams and laser included younger age (p<.001) and prior awareness of diabetes diagnosis (p=0.004 and p=0.035, respectively). The leading barrier to receiving diabetes treatment was unawareness of diagnosis (409/454, 97.2%), while interventions rated most likely to improve acceptance of eye exams included reimbursement of travel costs (387/562, 73.0%), video or other health education (359/562, 67.7%) and phone call reminders (346/562, 65.3%). CONCLUSIONS Improving diagnosis of diabetes, along with incentives, education and communication strategies, is most likely to enhance poor acceptance of diabetic eye care in this setting.
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Affiliation(s)
- Tingting Chen
- The Ophthalmology Department, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.,State Key Laboratory of Ophthalmology, Sun Yat-Sen University Zhongshan Ophthalmic Center, Guangzhou, China
| | - Ling Jin
- State Key Laboratory of Ophthalmology, Sun Yat-Sen University Zhongshan Ophthalmic Center, Guangzhou, China
| | - Wenhui Zhu
- The Ophthalmology Department, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.,State Key Laboratory of Ophthalmology, Sun Yat-Sen University Zhongshan Ophthalmic Center, Guangzhou, China
| | - Congyao Wang
- The Ophthalmology Department, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.,State Key Laboratory of Ophthalmology, Sun Yat-Sen University Zhongshan Ophthalmic Center, Guangzhou, China
| | - Guoshan Zhang
- State Key Laboratory of Ophthalmology, Sun Yat-Sen University Zhongshan Ophthalmic Center, Guangzhou, China
| | - Xiuqin Wang
- State Key Laboratory of Ophthalmology, Sun Yat-Sen University Zhongshan Ophthalmic Center, Guangzhou, China
| | - Jun Wang
- State Key Laboratory of Ophthalmology, Sun Yat-Sen University Zhongshan Ophthalmic Center, Guangzhou, China
| | - Ke Yang
- State Key Laboratory of Ophthalmology, Sun Yat-Sen University Zhongshan Ophthalmic Center, Guangzhou, China
| | - Gillian M Cochrane
- Faculty of Health, School of Medicine (Optometry), Deakin University, Burwood, Australia
| | - Ecosse Luc Lamoureux
- Health Services Research Unit, Singapore Eye Research Institute, Singapore, Singapore
| | - David S Friedman
- Glaucoma Center of Excellence, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA
| | - Suzanne Gilbert
- Innovation & Sight Programs, Seva Foundation, Berkeley, California, USA
| | | | | | - Jialiang Zhao
- Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Dongcheng-qu,China
| | - Baixiang Xiao
- State Key Laboratory of Ophthalmology, Sun Yat-Sen University Zhongshan Ophthalmic Center, Guangzhou, China
| | - Mingguang He
- State Key Laboratory of Ophthalmology, Sun Yat-Sen University Zhongshan Ophthalmic Center, Guangzhou, China.,Centre for Eye Research Australia; Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Australia
| | - Nathan Congdon
- State Key Laboratory of Ophthalmology, Sun Yat-Sen University Zhongshan Ophthalmic Center, Guangzhou, China .,Centre for Public Health, Queen's University Belfast, Belfast, UK
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Lin Z, Li D, Zhai G, Wang Y, Wen L, Ding XX, Wang FH, Dou Y, Xie C, Liang YB. High myopia is protective against diabetic retinopathy via thinning retinal vein: A report from Fushun Diabetic Retinopathy Cohort Study (FS-DIRECT). Diab Vasc Dis Res 2020; 17:1479164120940988. [PMID: 32686483 PMCID: PMC7510364 DOI: 10.1177/1479164120940988] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
PURPOSE To investigate the association between high myopia and diabetic retinopathy, and its possible mechanism, in a northeastern Chinese population with type 2 diabetic mellitus. METHODS Patients were included from Fushun Diabetic Retinopathy Cohort Study. High myopia was defined as spherical equivalent of autorefraction less than -5D. RESULTS A total of 1817 patients [688 (37.9%) diabetic retinopathy, 102 (5.6%) high myopia] were included. Compared to eyes without high myopia, the frequency of diabetic retinopathy and non-proliferative diabetic retinopathy was significantly less in eyes with high myopia (23.5% vs 38.7%, p = 0.002; 22.5% vs 35.3%, p = 0.005). Eyes with high myopia were less likely to have diabetic retinopathy (multivariate odds ratio, 95% confidence interval: 0.39, 0.22-0.68) or non-proliferative diabetic retinopathy (odds ratio, 95% confidence interval: 0.40, 0.23-0.70). High myopia was negatively associated with central retinal venular equivalent (multivariate β, 95% confidence interval: -37.1, -42.3 to -31.8, p < 0.001). Furthermore, central retinal venular equivalent (per 10 μm increase) had a significant association with diabetic retinopathy (odds ratio, 95% confidence interval: 1.24, 1.17-1.31) as well as non-proliferative diabetic retinopathy (odds ratio, 95% confidence interval: 1.24, 1.18-1.31). CONCLUSIONS High myopia was negatively associated with both diabetic retinopathy and non-proliferative diabetic retinopathy in this northeastern Chinese population. This protective effect may have been partially achieved via thinning retinal veins.
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Affiliation(s)
- Zhong Lin
- School of Ophthalmology & Optometry, Wenzhou Medical University, Eye Hospital of Wenzhou Medical University, Wenzhou, China
| | - Dong Li
- Fushun Eye Hospital, Liaoning, Province, China
| | - Gang Zhai
- Fushun Eye Hospital, Liaoning, Province, China
- Gang Zhai, Fushun Eye Hospital, No. 1 Hu Po Quan Street, Xin Fu District, Fushun, Liaoning 113006, China.
| | - Yu Wang
- Fushun Eye Hospital, Liaoning, Province, China
| | - Liang Wen
- Fushun Eye Hospital, Liaoning, Province, China
| | | | - Feng Hua Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University; Beijing Ophthalmology & Visual Science Key Lab, Beijing, China
| | - Yu Dou
- Fushun Eye Hospital, Liaoning, Province, China
| | - Cong Xie
- Fushun Eye Hospital, Liaoning, Province, China
| | - Yuan Bo Liang
- School of Ophthalmology & Optometry, Wenzhou Medical University, Eye Hospital of Wenzhou Medical University, Wenzhou, China
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Wang JR, Chen Z, Yang K, Yang HJ, Tao WY, Li YP, Jiang ZJ, Bai CF, Yin YC, Duan JM, Zhou YY, Geng XQ, Yang Y. Association between neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and diabetic retinopathy among diabetic patients without a related family history. Diabetol Metab Syndr 2020; 12:55. [PMID: 32636938 PMCID: PMC7331251 DOI: 10.1186/s13098-020-00562-y] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Accepted: 06/24/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Diabetic retinopathy (DR) is a specific neurovascular complication of diabetes mellitus (DM). Clinically, family history is a widely recognized risk factor for DR, assisting diagnosis and risk strata. However, among a great amount of DR patients without hereditary history like hypertension and diabetes, direct and simple risk factors to assist clinical decisions are still required. Herein, we intend to investigate the associated risk factors for these DR patients based on systemic inflammatory response indexes, neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR). METHODS We consecutively enrolled 1030 patients with a definite diagnosis of type 2 diabetes mellitus (T2DM) from the endocrinology department of the Second hospital of People in Yun Nan. Based on funduscopy and family history checking, we excluded patients with a family history of hypertension and diabetes and finally enrolled 264 patients with DR and 206 patients with non-diabetic retinopathy (NDR). Through correlation analysis, univariate and multivariate regression, we further explore the association between NLR, PLR, and DR. On top of that, we investigate the effect of NLR and PLR on risk reclassification of DR. RESULTS Compared with NDR patients, NLR and PLR levels are significantly higher among DR patients (NLR: 2.36 ± 1.16 in DR group versus 1.97 ± 1.06 in NDR group, p < 0.001; PLR: 11.62 ± 4.55 in DR group versus10.56 ± 4.45 in NDR group, p = 0.012). According to univariate analysis, NLR and PLR add risks to DR. After fully adjusting co-founders, NLR, as both continuous and categorical variate, remains an independent risk factor for DR (OR (95%CI): 1.37 (1.06, 1.78) P = 0.018). And though PLR was not independently associated with DR as a continuous variable (OR (95%CI) 1.05 (0.99, 1.11) p = 0.135), the highest quantile of PLR add two-fold increased risk (OR (95%CI) 2.20 (1.05, 4.59) p = 0.037) in the fully adjusted model for DR. In addition, addition of PLR and NLR to the established factor hemoglobin (Hb) improved the discriminability of the model and assisted the reclassification of DR. After combining PLR and NLR the Area under curve (AUC) of Hb based model raised from 0.76 to 0.78, with a category-free net reclassification improvement (NRI) of 0.532 (p < 0.001) and integrated discrimination improvement (IDI) of 0.029 (p < 0.001). CONCLUSIONS Systemic inflammatory response indexes NLR and PLR were associated with the presence of DR among patients without associated family history and contributed to improvements in reclassification of DR in addition to Hb.
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Affiliation(s)
- Jin-Rui Wang
- Department of Endocrinology and Metabolism, The Second People’s Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China
| | - Zhongli Chen
- Department of Cardiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 200001 Shanghai, China
| | - Ke Yang
- Department of Cardiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 200001 Shanghai, China
| | - Hui-Jun Yang
- Department of Endocrinology and Metabolism, The Second People’s Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China
| | - Wen-Yu Tao
- Department of Endocrinology and Metabolism, The Second People’s Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China
| | - Yi-Ping Li
- Department of Endocrinology and Metabolism, The Second People’s Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China
| | - Ze-Jia Jiang
- The Second People’s Hospital of Qujing City, Yunnan Qujing, 655000 China
| | - Chao-Fang Bai
- Department of Endocrinology and Metabolism, The Second People’s Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China
| | - Yue-Chuan Yin
- Department of Endocrinology and Metabolism, The Second People’s Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China
| | - Jian-Mei Duan
- Department of Endocrinology and Metabolism, The Second People’s Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China
| | - Yuan-Yuan Zhou
- Department of Endocrinology and Metabolism, The Second People’s Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China
| | - Xin-Qian Geng
- Department of Endocrinology and Metabolism, The Second People’s Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China
| | - Ying Yang
- Department of Endocrinology and Metabolism, The Second People’s Hospital of Yunnan Province, Fourth Affiliated Hospital of Kunming Medical University, Kunming, 650021 China
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Wolde HF, Derso T, Biks GA, Yitayal M, Ayele TA, Gelaye KA, Demissie GD, Azale T, Misganaw B, Kebede A, Teshome DF, Dellie E, Gebremedhin T, Atnafu A. High Hidden Burden of Diabetes Mellitus among Adults Aged 18 Years and Above in Urban Northwest Ethiopia. J Diabetes Res 2020; 2020:9240398. [PMID: 33299894 PMCID: PMC7704177 DOI: 10.1155/2020/9240398] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 10/18/2020] [Accepted: 10/27/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Ethiopia is one of the sub-Saharan African countries with a rapidly increasing burden of diabetes mellitus (DM). There is limited updated information about the community-based burden of the disease and its associated factors in Ethiopia which is very crucial to plan effective prevention and control measures against the disease. This study is aimed at determining the burden of DM and its associated factors in urban northwest Ethiopia. METHODS A community-based cross-sectional study was conducted from April to May 2019 among residents aged ≥ 18 years in Gondar town and urban kebeles (lowest administrative units of the country) of Health and Demographic Surveillance System site (HDSS) in Dabat district. A multistage sampling technique was used to select 773 participants. World Health Organization (WHO) stepwise approach for noncommunicable disease surveillance was used to collect the data. Fasting blood glucose (FBS) ≥ 126 mg/dl was used to diagnose DM. Descriptive statistics were done to describe the variables of the study. Prevalence with its 95% confidence interval (CI) was estimated. Binary logistic regression model was fitted, variables with p value < 0.05 were considered to have a significant association with the outcome, and odds ratio (OR) was used to measure the strength of association. RESULT Of the total participants, 6.34% (95% CI; 4.82, 8.29) were found to be diabetic. Of these, 40 (81.6%) were newly diagnosed. Besides, the prevalence of prediabetes was 9.31% (95% CI: 7.45, 11.58). Increased age (AOR = 1.06, 95% CI; 1.04, 1.09) and eating vegetables one to three days per week (AOR =0.29, 95% CI; 0.13, 0.65) were significantly associated with diabetes. CONCLUSION The overall prevalence of DM is a bit higher than the national estimate, while the proportion of undiagnosed DM which can easily progress to disabling and life-threatening complications was alarmingly high. Age and frequency of eating vegetables per week were associated with diabetes. In light of this finding, future prevention and control measures against the diseases should consider the identified factors. There should also be improved access to screening services.
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Affiliation(s)
- Haileab Fekadu Wolde
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Terefe Derso
- Department of Human Nutrition, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Dabat Health and Demographic Surveillance System Research Centre, Institute of Public Health College of Medicine and Health Science, University of Gondar, Ethiopia
| | - Gashaw Andargie Biks
- Dabat Health and Demographic Surveillance System Research Centre, Institute of Public Health College of Medicine and Health Science, University of Gondar, Ethiopia
- Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mezgebu Yitayal
- Dabat Health and Demographic Surveillance System Research Centre, Institute of Public Health College of Medicine and Health Science, University of Gondar, Ethiopia
- Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Tadesse Awoke Ayele
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Dabat Health and Demographic Surveillance System Research Centre, Institute of Public Health College of Medicine and Health Science, University of Gondar, Ethiopia
| | - Kassahun Alemu Gelaye
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Dabat Health and Demographic Surveillance System Research Centre, Institute of Public Health College of Medicine and Health Science, University of Gondar, Ethiopia
| | - Getu Debalkie Demissie
- Department of Health Promotion and Behavioral Sciences, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Telake Azale
- Dabat Health and Demographic Surveillance System Research Centre, Institute of Public Health College of Medicine and Health Science, University of Gondar, Ethiopia
- Department of Health Promotion and Behavioral Sciences, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Bisrat Misganaw
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Dabat Health and Demographic Surveillance System Research Centre, Institute of Public Health College of Medicine and Health Science, University of Gondar, Ethiopia
| | - Adane Kebede
- Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Destaw Fetene Teshome
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Endalkachew Dellie
- Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Tsegaye Gebremedhin
- Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Asmamaw Atnafu
- Dabat Health and Demographic Surveillance System Research Centre, Institute of Public Health College of Medicine and Health Science, University of Gondar, Ethiopia
- Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
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Li M, Wang Y, Liu Z, Tang X, Mu P, Tan Y, Wang J, Lin B, Deng J, Peng R, Zhang R, He Z, Li D, Zhang Y, Yang C, Li Y, Chen Y, Liu X, Chen Y. Females with Type 2 Diabetes Mellitus Are Prone to Diabetic Retinopathy: A Twelve-Province Cross-Sectional Study in China. J Diabetes Res 2020; 2020:5814296. [PMID: 32377522 PMCID: PMC7191394 DOI: 10.1155/2020/5814296] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Revised: 03/26/2020] [Accepted: 04/01/2020] [Indexed: 11/28/2022] Open
Abstract
AIMS To investigate the distribution of diabetic retinopathy (DR) by sex in patients with type 2 diabetes mellitus (T2DM) in a twelve-province cross-sectional study in China. METHODS Patients with T2DM, whose ages were ≥18 years, were recruited from 76 cities/counties in 12 provinces in mainland China between January 2015 and December 2018. All participants received a standardized interview, eye examinations, and digital fundus photography. The presence and severity of DR were diagnosed and classified by retina specialists according to the DR domestic typing method. RESULTS A total of 12,766 participants (5963 males and 6803 females) were eligible for this study. The total prevalence of DR was 30.1%. Females exhibited a significantly higher prevalence of DR than males (31.1% vs. 29.0%, P = 0.011). A multivariate logistic regression analysis confirmed that female sex was an independent predictor for a higher prevalence of DR after adjusting for age, the duration of diabetes, economic status, and the presence of hypertension (OR: 1.096, 95% CI: 1.013-1.186, P = 0.023). Even after stratification by the diabetic duration, age, and economic status, female sex was still independently associated with the presence of DR in patients whose T2DM history was more than 10 years, whose ages were over 60 years, or who were in a relatively intermediate economic area. CONCLUSION Females had a higher prevalence of DR than males in T2DM patients with a diabetic history of more than 10 years, ages over 60 years, or a relatively intermediate economic status.
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Affiliation(s)
- Mei Li
- Department of Endocrinology & Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
- VIP Medical Service Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Yina Wang
- VIP Medical Service Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Zifeng Liu
- Clinical Data Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Xixiang Tang
- Department of Endocrinology & Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
- VIP Medical Service Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Panwei Mu
- Department of Endocrinology & Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Ying Tan
- Department of Endocrinology & Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Jing Wang
- Department of Endocrinology, The Third Affiliated Hospital of Sun Yat-sen University, Yuedong Hospital, Meizhou 514021, China
| | - Bairun Lin
- Department of Endocrinology, The Third Affiliated Hospital of Sun Yat-sen University, Yuedong Hospital, Meizhou 514021, China
| | - Juan Deng
- Department of Ophthalmology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Ruiping Peng
- Department of Ophthalmology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Rongyu Zhang
- Guangzhou Da'an Clinical Laboratory Center Co. Ltd., Guangzhou 440100, China
| | - Zhihui He
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou 510000, China
| | - Dongling Li
- Department of Endocrinology, The Third Affiliated Hospital of Sun Yat-sen University, Yuedong Hospital, Meizhou 514021, China
| | - Yongjun Zhang
- Department of Endocrinology, The Fifth Affiliated Hospital of Zunyi Medical University, Zhuhai 519100, China
| | - Caixian Yang
- Department of Endocrinology & Metabolism, Qingyuan People's Hospital, Qingyuan 511518, China
| | - Yuan Li
- Department of Endocrinology, The Third Affiliated Hospital of Sun Yat-sen University, Yuedong Hospital, Meizhou 514021, China
| | - Yuming Chen
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xun Liu
- Department of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Yanming Chen
- Department of Endocrinology & Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
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Wang Y, Lin Z, Wen L, Rong SS, Ding XX, Li D, Feng KM, Wang FH, Liang YB, Zhai G. Rationale, Design, Methodology and Baseline Data of Fushun Diabetic Retinopathy Cohort Study (FS-DIRECT). Ophthalmic Epidemiol 2019; 27:73-82. [PMID: 31722595 DOI: 10.1080/09286586.2019.1680702] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Purpose: To describe the rationale, design, methodology and baseline characteristics of Fushun Diabetic Retinopathy Cohort Study (FS-DIRECT), a community-based prospective cohort study in patients with type 2 diabetes mellitus (T2DM) living in northeast China.Methods: Patients with T2DM, aged 30 years and above from communities of Fushun city, Liaoning province, China, were recruited. The presence and severity of the diabetic retinopathy (DR) were determined by a modified Early Treatment Diabetic Retinopathy Study (ETDRS) retinopathy scale of 6 fields fundus photographs. Detailed ocular examinations and questionnaires were collated, in addition to blood and urine sample collection.Results: Of the 2224 subjects eligible for the FS-DIRECT, 2033 (91.4%) participated in the study. The majority of participants were female (58.9%), the average age was 62.1 ± 9.1 years. The overall prevalence rates of DR, non-proliferative DR, proliferative DR, diabetic macular edema, and vision-threatening retinopathy were 44.3%, 40.0%, 4.3%, 15.2%, and 12.3%, respectively. Compared to the patients without DR, patients with DR had lower income, an earlier onset of diabetes, a longer duration of diabetes, higher proportion of insulin use, higher fasting plasma glucose, HbA1c, systolic blood pressure, total cholesterol and high density lipoprotein, as well as a higher level of urine protein (all P < .05).Conclusion: The baseline data of FS-DIRECT showed a high prevalence of DR in a community of northeast China. Further investigation will provide key information about the risk factors, impact, and trends of DR in this region.
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Affiliation(s)
- Yu Wang
- Fushun Eye Hospital, Fushun, Liaoning, China
| | - Zhong Lin
- School of Ophthalmology & Optometry, Wenzhou Medical University, Eye Hospital of Wenzhou Medical University, Wenzhou, China
| | - Liang Wen
- Fushun Eye Hospital, Fushun, Liaoning, China
| | - Shi Song Rong
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | | | - Dong Li
- Fushun Eye Hospital, Fushun, Liaoning, China
| | - Ke Mi Feng
- School of Ophthalmology & Optometry, Wenzhou Medical University, Eye Hospital of Wenzhou Medical University, Wenzhou, China
| | - Feng Hua Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University; Beijing Ophthalmology & Visual Science Key Lab, Beijing, China
| | - Yuan Bo Liang
- School of Ophthalmology & Optometry, Wenzhou Medical University, Eye Hospital of Wenzhou Medical University, Wenzhou, China
| | - Gang Zhai
- Fushun Eye Hospital, Fushun, Liaoning, China
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Jin G, Xiao W, Ding X, Xu X, An L, Congdon N, Zhao J, He M. Prevalence of and Risk Factors for Diabetic Retinopathy in a Rural Chinese Population: The Yangxi Eye Study. Invest Ophthalmol Vis Sci 2019; 59:5067-5073. [PMID: 30357401 DOI: 10.1167/iovs.18-24280] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Purpose To investigate the prevalence and determinants of diabetic retinopathy (DR) among older adults in rural Southern China. Methods Using random cluster sampling, persons aged 50 years or older were randomly selected in rural Yangxi County, Guangdong Province, China. All participants underwent a standardized interview, fundus photography, and point of service glycosylated hemoglobin A1c (HbA1c) testing. Diabetes mellitus (DM) was diagnosed based on confirmed medical history or HbA1c ≥6.5%. Fundus photographs were graded for DR and diabetic macular edema (DME) based on the United Kingdom National Diabetic Eye Screening Program guidelines. Prevalence of and risk factors for DR and vision-threatening diabetic retinopathy (VTDR) were evaluated. Results Among 5825 subjects who participated (90.7% response rate) in the Yangxi Eye Study, 562 (9.6%) were diagnosed with DM, including 79 (14.1%) known and 483 new (85.9%) cases. Among DM cases, 476 (84.7%) had gradable fundus photos. The prevalence of any DR and VTDR were 8.19% (95% confidence interval [CI] 5.9-11.0) and 5.25% (95% CI 3.43-7.66), respectively. These figures were 23.9% and 12.7% for known and 5.43% and 3.95% for new DM cases. Risk factors for any DR were higher HbA1c level (OR [odds ratio] per unit 1.34, P < 0.001), longer duration of DM (OR per year = 2.29, P < 0.001) and having previously undergone cataract surgery (OR 4.11, P < 0.030). Conclusions Our study found a lower prevalence of DR among adults 50 years and older than in previously reports. Perhaps this difference can be explained by the short duration of most cases.
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Affiliation(s)
- Guangming Jin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Wei Xiao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Xiaohu Ding
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Xiao Xu
- Rehabilitation Administration Department, National Institute of Hospital Administration, Chinese National Health and Family Planning Commission, Beijing, China
| | - Lei An
- Rehabilitation Administration Department, National Institute of Hospital Administration, Chinese National Health and Family Planning Commission, Beijing, China
| | - Nathan Congdon
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.,Translational Research for Equitable Eye Care, Centre for Public Health, Royal Victoria Hospital, Queen's University Belfast, Belfast, United Kingdom.,Orbis International, New York, New York, United States
| | - Jialiang Zhao
- Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China
| | - Mingguang He
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.,Centre for Eye Research Australia, Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Australia
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Prevalence and risk factors of diabetes among urban residents in Luzhou City, China. Int J Diabetes Dev Ctries 2019. [DOI: 10.1007/s13410-018-0711-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Zhong Y, Yue S, Wu J, Guan P, Zhang G, Liu L, Chen L. Association of the Serum Total Cholesterol to Triglyceride Ratio with Diabetic Retinopathy in Chinese Patients with Type 2 Diabetes: A Community-Based Study. Diabetes Ther 2019; 10:597-604. [PMID: 30758833 PMCID: PMC6437234 DOI: 10.1007/s13300-019-0579-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2018] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION The relationship of total cholesterol (TC) or triglyceride (TG) to diabetic retinopathy (DR) has proven difficult to determine. In addition, there is no report of any study of the correlation between the TC/TG ratio and DR. This study was therefore undertaken to investigate the relationship between the TC/TG ratio and DR in Chinese adults with type 2 diabetes mellitus. METHODS A community-based study was conducted from August to October 2014 in Fengyutan, Shenyang, China. DR was assessed based on the modified Airlie House classification of DR. Multivariable logistic regression models were used to evaluate the association between the TC/TG ratio and the presence of DR. RESULTS Among the 420 diabetic participants in the study (157 men; mean (SD) age 61.7 (10.0) years), 76 (18.1%) presented with DR. When the TC/TG ratio was analyzed categorically, participants with T2DM in tertile 2 (i.e., TC/TG 2.91-4.00) were more likely (OR 2.01; 95% CI 1.01-3.99) to suffer from DR than patients in tertile 1 (i.e., TC/TG < 2.91) in multivariable models. Similarly, participants in tertile 3 (TC/TG > 4.00) were more likely (OR 2.59; 95% CI 1.11-3.14; P = 0.011) to suffer from DR than patients in tertile 1. This association persisted when the TC/TG ratio was analyzed continuously (P = 0.014). CONCLUSION We found a novel positive association between TC/TG ratio and presence of DR in Chinese individuals with T2DM. Although longitudinal data are needed, this finding contributes to the accumulating evidence that a high TC/TG ratio may be implicated in DR.
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Affiliation(s)
- Yifan Zhong
- Department of Ophthalmology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Song Yue
- Department of Ophthalmology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Jingyang Wu
- Department of Ophthalmology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Peng Guan
- Department of Epidemiology, School of Public Health, China Medical University, Taichung, 110122, China
| | - Guisen Zhang
- Department of Ophthalmology, Hohhot Chao Ju Eye Hospital, Hohhot, 010000, China
| | - Lei Liu
- Department of Ophthalmology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
| | - Lei Chen
- Department of Ophthalmology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
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Bocquet V, Ruiz-Castell M, de Beaufort C, Barré J, de Rekeneire N, Michel G, Donahue RP, Kuemmerle A, Stranges S. Public health burden of pre-diabetes and diabetes in Luxembourg: finding from the 2013-2015 European Health Examination Survey. BMJ Open 2019; 9:e022206. [PMID: 30670502 PMCID: PMC6347894 DOI: 10.1136/bmjopen-2018-022206] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
OBJECTIVE The aim of this study was to determine the burden and risk factors of prediabetes and diabetes in the general adult population of Luxembourg. DESIGN Cross-sectional survey between 2013 and 2015. SETTING Data were collected as part of the European Health Examination Survey in Luxembourg (EHES-LUX). PARTICIPANTS 1451 individuals were recruited in a random sample of the 25-64-year-old population of Luxembourg. OUTCOMES Diabetes was defined by a glycaemic biomarker (fasting plasma glucose (FPG) ≥7.0 mmol/L), self-reported medication and medical diagnosis; prediabetes by a glycaemic biomarker (FPG 5.6-6.9 mmol/L), no self-reported medication and no medical diagnosis. Undiagnosed diabetes was defined only from the glycaemic biomarker; the difference between total and undiagnosed diabetes was defined as diagnosed diabetes. Odds of diabetes and prediabetes as well as associated risk factors were estimated. RESULTS The weighted prevalence of prediabetes and diabetes was 25.6% and 6.5%, respectively. Nearly 4.8% (men: 5.8%; women: 3.8%) were diagnosed diabetes and 1.7% (men: 2.6%; women: 0.7%) were undiagnosed diabetes. The multivariable-adjusted OR (MVOR) for diabetes risk were: age 1.05 (95% CI 1.01 to 1.09), family history of diabetes 3.24 (1.95-5.38), abdominal obesity 2.63 (1.53-4.52), hypertension 3.18 (1.76-5.72), one-unit increase of triglycerides 1.16 (1.10-1.22) and total cholesterol 0.74 (0.64-0.86). The MVOR for prediabetes risk were: age 1.04 (95% CI 1.02 to 1.06), male sex 1.84 (1.30-2.60), moderate alcohol consumption 1.38 (1.01-1.89), family history of diabetes 1.52 (1.13-2.05), abdominal obesity 1.44 (1.06-1.97), second-generation immigrants 0.61 (0.39-0.95) and a one-unit increase of serum high-density lipoprotein cholesterol 0.70 (0.54-0.90). CONCLUSIONS In Luxembourg, an unexpectedly high number of adults may be affected by prediabetes and diabetes. Therefore, these conditions should be addressed as a public health priority for the country, requiring measures for enhanced detection and surveillance, which are currently lacking, especially in primary care settings.
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Affiliation(s)
- Valéry Bocquet
- Competence Centre for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Maria Ruiz-Castell
- Epidemiology and Public Health Research Unit, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Carine de Beaufort
- DCCP-Clinique pédiatrique de Luxembourg, Luxembourg, Luxembourg
- Department of Pediatric Endocrinology, UZBrussels, Bruxelles, Belgium
| | - Jessica Barré
- Competence Centre for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Nathalie de Rekeneire
- Epidemiology Unit at the Directorate of Health, Ministry of Health, Luxembourg, Luxembourg
| | - Georges Michel
- Société luxembourgeoise de Diabétologie, Luxembourg, Luxembourg
| | - Richard P Donahue
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York at Buffalo, Buffalo, New York, USA
| | - Andrea Kuemmerle
- Epidemiology and Public Health Research Unit, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Saverio Stranges
- Epidemiology and Public Health Research Unit, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
- Department of Family Medicine, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
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Anwar SB, Asif N, Naqvi SAH, Malik S. Evaluation of multiple risk factors involved in the development of Diabetic Retinopathy. Pak J Med Sci 2019; 35:156-160. [PMID: 30881415 PMCID: PMC6408632 DOI: 10.12669/pjms.35.1.279] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Objective: To determine the role of hypertension, hyperlipidemia, smoking and positive family history of diabetes and hypertension in the development of diabetic retinopathy. Methods: This prospective cohort study was conducted at the Department of Chemical Pathology, Armed Forces Institute of Pathology, Rawalpindi over 2 years period from June 2014 to June 2016. One hundred consecutive diabetic patients with no signs of diabetic retinopathy and good glycemic control (HbA1c<6.5%) were registered by non-probability convenient sampling after taking written informed consent. They were evaluated for hypertension, hyperlipidemia and smoking status. These patients were then followed 6 monthly for 2 years to look for the development of diabetic retinopathy. Results: The mean age of the patients was 50.72±9.29 years and there were 57 (57%) male and 43 (43%) female patients. Majority (82%) of the patients had NIDDM. The mean duration of diabetes was 8.31±6.83 years. 11% of the patients were smoker, 37% were hypertensive, 6% had hyperlipidaemia, 62% had family history of diabetes and 30% had family history of hypertension. At the end of follow-up, 9 (9.0%) patients had diabetic retinopathy. The frequency of diabetic retinopathy increased with increasing age of the patient; however, the difference was statistically insignificant. A comparatively higher frequency of diabetic retinopathy was also seen in patients with IDDM and those with positive family history of diabetes and hypertension yet again, the difference was statistically insignificant. Also, no significant difference was noted among male and female genders and smokers vs. non-smoker. However, the frequency of diabetic retinopathy increased significantly with increasing duration of diabetes. It was also higher among those with hypertension and hyperlipidemia. Conclusion: Higher patient age (≥50 years), increasing duration of diabetes (≥20 years), insulin dependent diabetes mellitus, hypertension, hyperlipidemia, and positive family history of diabetes and hypertension were found to be associated with increased frequency of diabetic retinopathy.
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Affiliation(s)
- Syeda Birjees Anwar
- Syeda Birjees Anwar, Department of Chemical Pathology, Armed Forces Institute of Pathology, Rawalpindi, Pakistan
| | - Naveed Asif
- Naveed Asif, Department of Chemical Pathology, Armed Forces Institute of Pathology, Rawalpindi, Pakistan
| | | | - Sidra Malik
- Sidra Malik, Armed Forces Institute of Ophthalmology, Rawalpindi, Pakistan
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Zhong Y, Wu J, Yue S, Zhang G, Liu L, Chen L. Burden of diabetic retinopathy in mainland China: Protocol for an updated systematic review and meta-analysis of prevalence and risk factors to identify prevention policies. Medicine (Baltimore) 2018; 97:e13678. [PMID: 30558076 PMCID: PMC6320130 DOI: 10.1097/md.0000000000013678] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 11/22/2018] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Diabetic retinopathy (DR) is the leading cause of vision loss in adults of working age. Although existing systematic reviews of the prevalence of DR for mainland China have been reported, but several studies have been newly reported. Further some potential factors for DR are still discrepant and inconclusive. The aim of current research is to identify relevant literature regarding the prevalence of DR and DR-related factors in mainland China. In addition, we will project the number of individuals affected with DR in mainland China in years 2030 and 2050. METHODS This systematic review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. To identify publications in English or Chinese languages on the prevalence of DR in mainland China, a comprehensive step-by-step search of the PubMed, Embase, Web of Science, VIP Chinese Periodical, and China National Knowledge Infrastructure (CNKI) databases will be performed. Two reviewers will independently review the studies for eligibility according to the predefined inclusion and exclusion criteria. The quality of the included studies will be evaluated according to the National Health Institute Quality Assessment tool and Quality Assessment Manual. A random-effect model (DerSimonian-Laird method) will be used for the meta-analysis. Heterogeneity and publication bias among studies will be estimated by the I statistic and Begg funnel plot, respectively. RESULTS This systematic review study will provide an evidence of prevalence, risk factors, and national burden for DR in mainland China. CONCLUSION The study will give an explicit evidence to provide preventative measures of DR.PROSPERO registration number: CRD42018094565.
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Affiliation(s)
- Yifan Zhong
- Department of Ophthalmology, The First Hospital of China Medical University
| | - Jinyang Wu
- Department of Ophthalmology, The First Hospital of China Medical University
| | - Song Yue
- Department of Ophthalmology, The First Hospital of China Medical University
| | | | - Lei Liu
- Department of Ophthalmology, The First Hospital of China Medical University
- Public Health Service, The First Hospital of China Medical University
- Liaoning Diabetic Eye Center, Shenyang, Liaoning Province, China
| | - Lei Chen
- Department of Ophthalmology, The First Hospital of China Medical University
- Liaoning Diabetic Eye Center, Shenyang, Liaoning Province, China
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Ghaem H, Daneshi N, Riahi S, Dianatinasab M. The Prevalence and Risk Factors for Diabetic Retinopathy in Shiraz, Southern Iran. Diabetes Metab J 2018; 42:538-543. [PMID: 30113147 PMCID: PMC6300436 DOI: 10.4093/dmj.2018.0047] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 04/26/2018] [Indexed: 11/29/2022] Open
Abstract
Globally, diabetic retinopathy (DR) is one of the leading causes of blindness, that diminishes quality of life. This study aimed to describe the prevalence of DR, and its associated risk factors. This cross-sectional study was carried out among 478 diabetic patients in a referral center in Fars province, Iran. The mean±standard deviation age of the participants was 56.64±12.45 years old and DR prevalence was 32.8%. In multivariable analysis, lower education levels (adjusted odds ratio [aOR], 0.43; 95% confidence interval [CI], 0.24 to 0.76), being overweight (aOR, 1.70; 95% CI, 1.02 to 2.83) or obese (aOR, 1.88; 95% CI, 1.09 to 3.26), diabetes duration of 10 to 20 years (aOR, 2.35; 95% CI, 1.48 to 3.73) and over 20 years (aOR, 5.63; 95% CI, 2.97 to 10.68), receiving insulin (aOR, 1.99; 95% CI, 1.27 to 3.10), and having chronic diseases (aOR, 1.71; 95% CI, 1.02 to 2.85) were significantly associated with DR. In conclusion, longer diabetes duration and obesity or having chronic diseases are strongly associated with DR suggesting that control of these risk factors may reduce both the prevalence and impact of retinopathy in Iran.
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Affiliation(s)
- Haleh Ghaem
- Research Center for Health Sciences, Institute of Health, Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Nima Daneshi
- Behbahan Faculty of Medical Sciences, Behbahan, Iran.
| | - Shirin Riahi
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Mostafa Dianatinasab
- Center for Health Related Social and Behavioral Sciences Research, Shahroud University of Medical Sciences, Shahroud, Iran
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Abstract
PURPOSE OF REVIEW Overweight and obesity are well-established risk factors for type 2 diabetes. However, a substantial number of individuals develop the disease at underweight or normal weight. In this review, we discuss the epidemiology of type 2 diabetes in non-overweight adults; pose questions about etiology, pathophysiology, diagnosis, and prognosis; and examine implications for prevention and treatment. RECENT FINDINGS In population-based studies, the prevalence of type 2 diabetes ranged from 1.4-10.9%. However, the prevalence of type 2 diabetes in individuals with BMI < 25 kg/m2 ranged from 1.4-8.8%. In countries from Asia and Africa, the proportion of individuals with diabetes who were underweight or normal weight ranged from 24 to 66%, which is considerably higher than the US proportion of 10%. Impairments in insulin secretion, in utero undernutrition, and epigenetic alterations to the genome may play a role in diabetes development in this subgroup. A substantial number of individuals with type 2 diabetes, particularly those with recent ancestry from Asia or Africa, are underweight or normal weight. Future research should consist of comprehensive studies of the prevalence of type 2 diabetes in non-overweight individuals; studies aimed at understanding gaps in the mechanisms, etiology, and pathophysiology of diabetes development in underweight or normal weight individuals; and trials assessing the effectiveness of interventions in this population.
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Affiliation(s)
- Unjali P Gujral
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Room 7040-L, Atlanta, GA, 30322, USA.
- Emory Global Diabetes Research Center, Emory University, Atlanta, GA, USA.
| | - Mary Beth Weber
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Room 7040-L, Atlanta, GA, 30322, USA
- Emory Global Diabetes Research Center, Emory University, Atlanta, GA, USA
| | - Lisa R Staimez
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Room 7040-L, Atlanta, GA, 30322, USA
- Emory Global Diabetes Research Center, Emory University, Atlanta, GA, USA
| | - K M Venkat Narayan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Room 7040-L, Atlanta, GA, 30322, USA
- Emory Global Diabetes Research Center, Emory University, Atlanta, GA, USA
- School of Medicine, Emory University, Atlanta, GA, USA
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Chua J, Lim CXY, Wong TY, Sabanayagam C. Diabetic Retinopathy in the Asia-Pacific. Asia Pac J Ophthalmol (Phila) 2018; 7:3-16. [PMID: 29376231 DOI: 10.22608/apo.2017511] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Diabetic retinopathy (DR), the most common complication of diabetes mellitus, is the leading cause of new cases of blindness in middle-aged and elderly in the Asia-Pacific. It has been estimated that 51% of all those with blindness due to DR globally (n = 424,400) and 56% of those with visual impairment due to DR (2.1 million) come from the Asia-Pacific. Prevalence of DR among those with diabetes ranged from 10% in India to 43% in Indonesia within the Asia-Pacific. Awareness of DR among persons with diabetes ranged from 28% to 84%. Most common modifiable risk factors for DR in the Asia-Pacific were hyperglycemia, blood pressure, dyslipidemia, and obesity. Implementation of systematic screening programs for DR and advancement in telemedicine screening methods have increased patient coverage and cost-effectiveness, though there are still numerous factors impeding screening uptake in the low-middle income regions of the Asia-Pacific. Management and treatment of DR in the Asia-Pacific is mainly limited to traditional laser retinopexy, but it is suboptimal despite new clinical approaches such as use of intravitreal anti.vascular endothelial growth factor and steroids due to limited resources. Further research and data are required to structure a more cost-effective public healthcare program and more awareness-building initiatives to increase the effectiveness of DR screening programs.
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Affiliation(s)
- Jacqueline Chua
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program, Duke-National University of Singapore Medical School, Singapore
| | - Claire Xin Ying Lim
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- University College Dublin, Dublin, Ireland
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program, Duke-National University of Singapore Medical School, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
- Centre for Quantitative Medicine, Duke-National University of Singapore Medical School, Singapore
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Zhang G, Chen H, Chen W, Zhang M. Prevalence and risk factors for diabetic retinopathy in China: a multi-hospital-based cross-sectional study. Br J Ophthalmol 2017; 101:1591-1595. [PMID: 28855195 PMCID: PMC5754882 DOI: 10.1136/bjophthalmol-2017-310316] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Revised: 07/23/2017] [Accepted: 07/25/2017] [Indexed: 01/19/2023]
Abstract
Purpose To determine the prevalence and risk factors for diabetic retinopathy (DR) and sight-threatening diabetic retinopathy (STDR) in a multi-hospital-based DR screening programme among patients with diabetes in China, the Lifeline Express Diabetic Retinopathy Screening Program. Methods Patients with diabetes in eight hospitals across mainland China (both southern and northern) from January 2014 to July 2016 were recruited in this programme. All participants underwent a standardised interview and examinations and received digital fundus photography. DR severity was graded from retinal fundus photographs by retina specialists in the reading centre of Joint Shantou International Eye Center, according to the grading standards of the English National Screening Programme. STDR was defined as the presence of preproliferative DR (R2), proliferative DR (R3) and/or maculopathy (M1). Results 16 305 patients with diabetes were screened for DR in total. Fundus photographs were gradable for 15 078 patients (92.5%). The age–gender-standardised prevalence of any DR and STDR was 27.9% (95% CI, 27.2% to 28.6%) and 12.6% (95% CI, 12.1% to 13.1%), respectively. In the multiple logistic regression analysis, younger age (OR, 0.967), longer duration of diabetes (OR, 1.093), higher haemoglobin A1c (OR, 1.115), higher fasting plasma glucose (OR, 1.074), higher systolic blood pressure (OR, 1.014), faster heart rate (OR, 1.010), higher low-density lipoprotein (OR, 1.149), lower triglycerides (OR, 0.975), higher blood urea nitrogen (BUN) (OR, 1.012) and elevated serum creatinine level (OR, 1.003) were associated with the presence of DR. Similar risk factors, except for BUN and triglycerides, were found for STDR. Conclusions The prevalence of DR and STDR in diabetes was 27.9% and 12.6%, respectively in this multi-hospital-based population across China. Compared with Western population with diabetes, similar risk factors for DR and STDR were found in Chinese patients with diabetes.
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Affiliation(s)
- Guihua Zhang
- Department of Ophthalmology, The Joint Shantou International Eye Center (JSIEC) of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Haoyu Chen
- Department of Ophthalmology, The Joint Shantou International Eye Center (JSIEC) of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Weiqi Chen
- Department of Ophthalmology, The Joint Shantou International Eye Center (JSIEC) of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Mingzhi Zhang
- Department of Ophthalmology, The Joint Shantou International Eye Center (JSIEC) of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China
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CDKAL1 rs7756992 is associated with diabetic retinopathy in a Chinese population with type 2 diabetes. Sci Rep 2017; 7:8812. [PMID: 28821857 PMCID: PMC5562862 DOI: 10.1038/s41598-017-09010-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 07/17/2017] [Indexed: 12/12/2022] Open
Abstract
Diabetic retinopathy (DR) is a major microvascular complication of diabetes. Susceptibility genes for type 2 diabetes may also impact the susceptibility of DR. This case-control study investigated the effects of 88 type 2 diabetes susceptibility loci on DR in a Chinese population with type 2 diabetes performed in two stages. In stage 1, 88 SNPs were genotyped in 1,251 patients with type 2 diabetes, and we found that ADAMTS9-AS2 rs4607103, WFS1 rs10010131, CDKAL1 rs7756992, VPS26A rs1802295 and IDE-KIF11-HHEX rs1111875 were significantly associated with DR. The association between CDKAL1 rs7756992 and DR remained significant after Bonferroni correction for multiple comparisons (corrected P = 0.0492). Then, the effect of rs7756992 on DR were analysed in two independent cohorts for replication in stage 2. Cohort (1) consisted of 380 patients with DR and 613 patients with diabetes for ≥5 years but without DR. Cohort (2) consisted of 545 patients with DR and 929 patients with diabetes for ≥5 years but without DR. A meta-analysis combining the results of stage 1 and 2 revealed a significant association between rs7756992 and DR, with the minor allele A conferring a lower risk of DR (OR 0.824, 95% CI 0.743–0.914, P = 2.46 × 10−4).
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López M, Cos FX, Álvarez-Guisasola F, Fuster E. Prevalence of diabetic retinopathy and its relationship with glomerular filtration rate and other risk factors in patients with type 2 diabetes mellitus in Spain. DM2 HOPE study. JOURNAL OF CLINICAL AND TRANSLATIONAL ENDOCRINOLOGY 2017; 9:61-65. [PMID: 29067272 PMCID: PMC5651300 DOI: 10.1016/j.jcte.2017.07.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 07/26/2017] [Accepted: 07/26/2017] [Indexed: 11/04/2022]
Abstract
In Spain, diabetic retinopathy (DR) prevalence in type 2 diabetic patients was 14.9%. DR was higher in women and older patients. eGFR, duration of disease, HbA1c ≥ 7% and high blood pressure were associated with DR. DR was also higher in patients taking insulin. Patients with DR used to have comorbidities more frequently.
Aim Diabetic retinopathy (DR) is the leading cause of blindness in working age population in developed countries. Albuminuria and estimated glomerular filtration rate (eGFR) have been considered biomarkers for DR. This study aimed to investigate the prevalence of DR and its relationship with eGFR and other risk factors in type 2 diabetic patients (T2DM) in Spain. Methods A cross-sectional and descriptive study has been performed in 14,266 patients. Clinical records were reviewed. Demographic data, clinical diagnoses, clinical variables, and results from laboratory tests were recorded. Prevalence rates of DR were calculated. Logistic regression analysis was applied to assess predictors of the DR presence/absence. Results DR prevalence was 14.9%, being more prevalent in women (p = 0.0087) and in older patients (p < 0.0001). Duration of disease (OR = 5.3, IC95% = 3.8–7.4; p < 0.0001), eGFR < 60 ml/min/1.73 m2 (OR = 2.0, IC95% 1.6–2.4; p < 0.0001), levels of HbA1c ≥ 7% (OR = 1.9, IC95% = 1.5–2.3; p < 0.0001) and high blood pressure (OR = 1.6, IC95% = 1.2–2.1; p = 0.0032) were associated with higher risk of DR. DR was also more frequent in patients taking insulin (32,6% vs. 10,2%; p < 0.0001). Conclusion Around one in seven patients with T2DM has DR after nine years since diagnosis. Time since diagnosis, insulin therapy, cardiovascular profile, and renal dysfunction are associated with DR in patients with T2DM in Spain.
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Affiliation(s)
- Maribel López
- Hospital Clínico Universitario de Valladolid, Av. Ramón y Cajal, 3, 47003 Valladolid, Spain
| | | | | | - Eva Fuster
- Medical Department, Novartis Farmacéutica S.A., Gran Via de les Corts Catalanes, 764, 08013 Barcelona Spain
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Murthy GVS, Das T. Diabetic care initiatives to prevent blindness from diabetic retinopathy in India. Indian J Ophthalmol 2016; 64:50-4. [PMID: 26953024 PMCID: PMC4821122 DOI: 10.4103/0301-4738.178152] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
It is estimated that 65 million (17%) of 382 million persons with diabetes mellitus (DM) globally reside in India. While globally 35% persons with DM have diabetic retinopathy (DR), this proportion is reportedly lower in India, other countries in South Asia and China. We reviewed published data from 2008 onwards from PubMed, which ascertained DR in population-based representative samples. We also reviewed the risk factors for DR, on awareness regarding eye complications and on accessing an eye examination. Thirteen research studies have reported on the prevalence of DR among persons with DM; this prevalence was lower than the global level in China, India, and Nepal. Eleven studies reported DR risk factors association. The duration of diabetes and level of glycemic control were universally acknowledged DR risk factors. We identified 7 studies in the Asia region that researched the level of awareness about diabetes eye complications and the practice of accessing an eye examination. Excepting 1 study in China, others reported a significant proportion being aware that diabetes leads to eye complications. But the awareness was not translated into a positive practice-most studies reported only 20-50% of the persons with diabetes actually having had their eyes examined. The present review highlights the observation that the risk factors for DR need an integrated diabetic care pathway where the eye care team has to work in close collaboration and partnership with a diabetic care team has to reduce the risk of blindness from DR.
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Affiliation(s)
- G V S Murthy
- Indian Institute of Public Health, Public Health Foundation of India; Department of Clinical Research, Public Health Eye Care and Disability, International Centre for Eye Health, London School of Hygiene and Tropical Medicine, London, UK,
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Li J, Cai W, Zhang W, Zhu WF, Liu Y, Yue LX, Zhu LY, Xiao JR, Liu JY, Xu JX. Polymorphism 2184A/G in the AGER gene is not associated with diabetic retinopathy in Han Chinese patients with type 2 diabetes. J Int Med Res 2016; 44:520-8. [PMID: 27033231 PMCID: PMC5536713 DOI: 10.1177/0300060516638990] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2015] [Accepted: 02/23/2016] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE To assess the association between the 2184A/G polymorphism in the advanced glycosylation end product-specific receptor (AGER) gene and the susceptibility to diabetic retinopathy (DR) in Han Chinese patients with type 2 diabetes mellitus (T2DM). METHODS This cross-sectional genotyping study included patients with T2DM with and without DR. Genotype and allele frequencies of the 2184A/G polymorphism were detected using polymerase chain reaction-restriction fragment-length polymorphism analysis. RESULTS This study included 943 patients with T2DM (285 with DR [DR group] and 658 without DR [NDR group]). There were no significant differences in age, sex, body mass index, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, diastolic blood pressure, glycosylated haemoglobin, fasting blood glucose, postprandial 2-hour blood glucose, and triglycerides between the two groups. The duration of T2DM and systolic blood pressure were significantly increased in the DR group compared with the NDR group. No significant differences were found in allele (A and G) and genotype (AA, AG and GG) frequencies of the 2184A/G polymorphism between the two groups. CONCLUSION The 2184A/G polymorphism in the AGER gene is not associated with DR in Han Chinese patients with T2DM.
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Affiliation(s)
- Jian Li
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China Department of Endocrinology and Metabolism, First People's Hospital of Xinxiang City, Xinxiang, Henan Province, China
| | - Wei Cai
- Department of Medical Biology, Jiangxi Medical College of Nanchang University, Nanchang, Jiangxi Province, China
| | - Wei Zhang
- Department of Endocrinology and Metabolism, Third Affiliated Hospital of Ganzhou Medical College, Ganzhou, Jiangxi Province, China
| | - Wei-Feng Zhu
- Department of Biochemistry and Molecular Biology, Jiangxi Medical College of Nanchang University, Nanchang, Jiangxi Province, China
| | - Ying Liu
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
| | - Li-Xia Yue
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
| | - Ling-Yan Zhu
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
| | - Jun-Ren Xiao
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
| | - Jian-Ying Liu
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
| | - Ji-Xiong Xu
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
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Jonas JB, Xu L, Xu J, Wei WB, Wang YX. Prevalence of Diabetic Retinopathy and Vision Loss in the Beijing Eye Study: the Potential Role of the Cerebrospinal Fluid Pressure. Curr Diab Rep 2015; 15:71. [PMID: 26275444 DOI: 10.1007/s11892-015-0649-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
In the Beijing Eye Study, a population-based study carried out in 2001, 2006, and 2011, prevalence of diabetic retinopathy (DR) was 2.9 ± 0.3 % (95 % confidence interval 2.3, 3.5) per individual in 2011. Correspondingly, only 1.1 % of blindness and 0.8 % of visual impairment were caused by DR in East Asia. As in other populations, prevalence, severity, and 10-year incidence of DR were associated with higher levels of HbA1c, higher blood glucose concentration, longer known duration of diabetes, lower educational level, and higher blood pressure. Interestingly, the presence, severity, and 10-year incidence of DR were additionally correlated with higher estimated cerebrospinal fluid pressure and shorter ocular length. Higher cerebrospinal fluid pressure may lead to higher retinal vein pressure and subsequently higher retinal capillary blood pressure increasing fluid and blood extravasation. Shorter axial length or hyperopia may be associated with higher intraocular concentration of cytokines. Aging of the society, improvements in medical infrastructure, and lifestyle changes may profoundly increase prevalence of, and burden by, DR in China in the future.
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Affiliation(s)
- Jost B Jonas
- Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Capital Medical University, 1 Dong Jiao Min Lane, Beijing, China, 100730,
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