Correction: Prevalence and Cardiovascular Associations of Diabetic Retinopathy and Maculopathy: Results from the Gutenberg Health Study

Raum, Philipp; Lamparter, Julia; Ponto, Katharina A.; Hoehn, René; Schulz, Andreas; Schneider, Astrid; Wild, Philipp S.; Pfeiffer, Norbert; Mirshahi, Alireza

doi:10.1371/journal.pone.0139527

Cited by 12 publications

(8 citation statements)

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“…The duration of diabetes in the DR group was longer than that in the NDR group, and the prevalence of DR was 1.324 times higher in diabetic patients with a disease duration of more than 15 years compared to patients with a disease duration of less than 5 years. This is consistent with the results reported by Dutra et al (prevalence of DR was 1.07 times higher in patients with a disease duration of diabetes more than 15 years compared to patients with (19,20). These findings are related to ocular fundus lesions caused by poor glycemic control.…”

Section: Discussionsupporting

confidence: 93%

Incidence and risk factors for diabetic retinopathy in the communities of Shenzhen

Peng¹,

Guo

Liu

et al. 2021

Ann Palliat Med

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Background: To understand the prevalence of diabetic retinopathy (DR) in Shenzhen and to analyze the risk factors for the occurrence and development of DR. Based on the comprehensive information system for diabetes prevention and control in the communities of Shenzhen in 2019, six community health service centers in Shenzhen were used as research sites to carry out multicenter, cross-sectional screening studies.Methods: Cluster random sampling was used to collect data from 904 patients with diabetes in Shenzhen.The occurrence of DR and vision-threatening diabetic retinopathy (VTDR) was analyzed, and multivariate logistic regression was performed to analyze the risk factors for DR and VTDR. EpiData version 3.1 (EpiData Association, Odense, Denmark) statistical software was used to build a database, and Statistical Package for the Social Sciences (SPSS) version 25.0 (IBM Corp., Armonk, N.Y., USA) was used to sort up and analyze the data.Results: The prevalence of DR among diabetic patients in Shenzhen was 18.58% [95% confidence interval (CI): 16.13-21.3%], and the prevalence of VTDR was 2.43% (95% CI: 1.57-1.2%). The prevalence of DR and VTDR was higher in males than in females. Logistic regression analysis showed that age, disease duration, medication mode, and the occurrence of diabetic peripheral neuropathy (DPN) were associated with the incidence of DR in diabetic patients, and that disease duration, the occurrence of DPN, and diabetic nephropathy were associated with the occurrence of VTDR. Conclusions:The prevalence of DR in the communities of Shenzhen is high. Age, disease duration, medications, and DPN are the major risk factors for the occurrence of DR.

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Section: Discussionsupporting

confidence: 93%

Incidence and risk factors for diabetic retinopathy in the communities of Shenzhen

Peng¹,

Guo

Liu

et al. 2021

Ann Palliat Med

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“…Studies have shown that obesity, medications, and oxygen therapy are also contributing factors to DR ( Thomas et al, 2012 ; Mcmonnies, 2015 ; Raum et al, 2015 ; Li et al, 2022 ). Raum et al (2015) prospectively identified obesity (BMI ≥ 30) as a risk factor for eyesight loss in DR.…”

Section: Discussionmentioning

confidence: 99%

Analysis of independent risk factors for progression of different degrees of diabetic retinopathy as well as non-diabetic retinopathy among type 2 diabetic patients

Tong

Liu

et al. 2023

Front. Neurosci.

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PurposeTo study the independent risk factors for development of different degrees of diabetic retinopathy (DR) as well as non-DR (NDR) among type 2 diabetic patients.MethodsThis cross-sectional study included 218 patients with type 2 diabetes between January 2022 and June 2022. All the patients were divided into two groups: the DR group and the NDR group. The DR group was subdivided into the mild, moderate and severe non-proliferative DR (NPDR) group and the proliferative DR (PDR) group. Data recorded for all patients included age, gender, duration of diabetes, blood pressure, glycated hemoglobin (HbA1c), fasting blood glucose (FBG), blood lipids, best corrected visual acuity (BCVA), intraocular pressure (IOP), axial length (AL), anterior chamber depth (ACD), and renal function. Logistic regression methods were used to analyze the risk factors for DR.ResultsThe prevalence of DR in type 2 diabetes was 28.44%. The duration of diabetes, age, mean arterial pressure (MAP), HbA1c, FBG, urinary albumin/creatinine ratio (UACR), BCVA, AL, and ACD were significantly different between the DR and the NDR groups (p < 0.05). Multivariate logistic regression analysis identified age, FBG, UACR, and AL as the independent risk factors for DR (OR = 0.843, 2.376, 1.049, 0.005; p = 0.034, 0.014, 0.016, p < 0.001).ConclusionYoung age, short AL, higher levels of FBG and UACR were the independent risk factors for the progression of DR in type 2 diabetes.

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“…In the present study, there is high significant increase in HbA1c between the diseased groups as compared with control. This result agrees with a Chinese study done by Wat et al, [15] who demonstrated an association between higher levels of HbA1C and increased incidence and progression of DR. Another study done by Raum et al, [16] showed that elevated levels of HbA1C were associated with increased risk of DR.…”

Section: Resultsmentioning

confidence: 95%

Clinical significance of microRNA 126 in diabetic retinopathy in type 2 diabetes mellitus

Kamel

Ayoub

Ibrahim

et al. 2020

Journal of Recent Advances in Medicine

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Background: Diabetes mellitus (DM) is a group of metabolic disorders characterized by chronic hyperglycemia. It is caused by defective insulin production or resistance of the cells to insulin. The chronic hyperglycemia leads to damage of different organs, especially eyes, kidneys, nerves, heart, and blood vessels. MicroRNAs (miRNAs) are small noncoding regulatory ribonucleic acids (RNA). Many studies have showed the association between miRNA 126 and complications of DM including diabetic retinopathy (DR). Objective: Assessing the ability of circulating miRNA 126 to be used as diagnostic biomarker of both proliferative diabetic retinopathy (PDR) and non-proliferative diabetic retinopathy (NPDR). Methodology: This case-control study was conducted on 20 DR (PDR & NPDR) patients, 20 DM patients without DR and 20 apparently healthy controls that were recruited from Research Institute of Ophthalmology-RIO. Identification and quantification of plasma miRNA126 was performed by real-time PCR. Results: MiRNA 126 expression is significantly decreased in PDR group when compared to healthy control. Its expression in PDR is less than in NPDR, expression in NPDR is less than in DMC, and expression in healthy people is higher than in other groups (P value < 0.001). ROC curve was done for healthy control group versus DMC, PDR and NPDR groups and showed that the area under the curve (AUC) was 1.0 for all groups with sensitivity and specificity 100%, confidence interval (CI) was 95% with upper and lower limit (1.0-1.0). Best cut off point of miRNA-126 was 5.44, 4.44, 4. 88 for DMC, PDR and NPDR respectively. There is also a high significant increase between each group and control regarding hemoglobin A1C (HbA1c). There is significant increase between PDR and control regarding triglycerides (TG). Conclusion: miRNA 126 can differentiate between the PDR, NPDR, DMC and control group and could be considered a non-invasive diagnostic parameter.

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Correction: Prevalence and Cardiovascular Associations of Diabetic Retinopathy and Maculopathy: Results from the Gutenberg Health Study

Cited by 12 publications

References 1 publication

Incidence and risk factors for diabetic retinopathy in the communities of Shenzhen

Incidence and risk factors for diabetic retinopathy in the communities of Shenzhen

Analysis of independent risk factors for progression of different degrees of diabetic retinopathy as well as non-diabetic retinopathy among type 2 diabetic patients

Clinical significance of microRNA 126 in diabetic retinopathy in type 2 diabetes mellitus

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