Dataset Information

High Prevalence of Diabetic Retinopathy in Diabetic Patients Concomitant with Metabolic Syndrome.

ABSTRACT: To evaluate the relationship between metabolic syndrome (MetS) and the prevalence of diabetic retinopathy (DR).We conducted a case-controlled study, with data obtained from 2,551 Chinese participants between 18-79 years of age (representing a population of 1,660,500 in a district of Beijing). 74 cases of DR were found following data assessment by two 45° digital retinal images. Subjects without DR (NDR group) selected from the remaining 2,477 subjects were matched 1:1 to the DR group by HbA1c. MetS was defined by incorporating diagnostic criteria of the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) and the International Diabetes Federation (IDF).There were no statistical differences between the DR group and NDR group in a number of biological or laboratory tests. However, the percentage of patients with DR increased vs. patients without DR with the number of MetS components from 1 to 5 (14.3% vs. 85.7%, 38.9% vs. 61.1%, 49.1% vs. 50.9%, 61.4% vs. 38.6% and 83.3% vs. 16.7%, respectively) (Pearson ?2 = 9.938, P = 0.037). The trend to develop DR with MetS was significantly higher than that without MetS (NMetS) (?2 = 5.540, P = 0.019). MetS was an independent statistical indicator of the presence of DR after adjusting for age and sex [odds ratio (95% CI): 2.701(1.248-5.849), P = 0.012], which is still the case with an additional adjustment for WC, SBP, TC, HbA1c and duration of diabetes [odds ratio (95% CI): 2.948(1.134-7.664), P = 0.027].DR is one of the diabetic microvascular complications. Apart from poor glycemic control, the concomitance of other metabolic factors can also influence DR. MetS, defined as a cluster of metabolic risk factors, is a strong and independent indicator of DR, even to the same extent as glycemic control.

SUBMITTER: Gao L

PROVIDER: S-EPMC4712887 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

High Prevalence of Diabetic Retinopathy in Diabetic Patients Concomitant with Metabolic Syndrome.

Gao Lu L Xin Zhong Z Yuan Ming-Xia MX Cao Xi X Feng Jian-Ping JP Shi Jing J Zhu Xiao-Rong XR Yang Jin-Kui JK

PloS one 20160108 1

<h4>Objective</h4>To evaluate the relationship between metabolic syndrome (MetS) and the prevalence of diabetic retinopathy (DR).<h4>Research design and methods</h4>We conducted a case-controlled study, with data obtained from 2,551 Chinese participants between 18-79 years of age (representing a population of 1,660,500 in a district of Beijing). 74 cases of DR were found following data assessment by two 45° digital retinal images. Subjects without DR (NDR group) selected from the remaining 2,477 ...[more]

PMID: 26745177

Similar Datasets

Project description:BackgroundDiabetic retinopathy is the most common microvascular complication of diabetes mellitus on eye and it is the leading cause of visual impairment among productive segment of the population. Globally, the prevalence of diabetic retinopathy is reported to be 27%. In Ethiopia, sufficient data is lacking on the prevalence of diabetic retinopathy as well as information on its predisposing factors. The study was required to assess the prevalence of diabetic retinopathy and its predisposing factors in diabetic patients attending at a General Hospital in Ethiopia.MethodsAn institution based cross sectional study was employed on 331 diabetic patients recruited with a systematic random sampling technique. Data were collected through structured questionnaire, tracing patients' medical folder and ocular health examination. Data were analyzed with Statistical Package for Social Science Version 20. Logistic regression methods of analysis were used to figure out predisposing factors of diabetic retinopathy. Adjusted odds ratio with 95% confidence interval was used to determine the strength of association.ResultA total of 331 diabetic patients completed the study with a response rate of 99.10%. The median duration of diabetes was 5 years. The prevalence of diabetic retinopathy was 34.1% (95%Confidence Interval (CI): 28.7%-39.3%). Low family monthly income (Adjusted Odds Ratio (AOR) = 7.43, 95% CI: 2.44-22.57), longer duration of diabetes (AOR = 1.44, 95% CI: 1.30-1.58), poor glycemic control (AOR = 4.76, 95%CI: 2.26-10.00), and being on insulin treatment alone (AOR = 3.85, 95%CI: 1.16-12.74) were independently associated with diabetic retinopathy.Conclusion and recommendationThe prevalence of diabetic retinopathy was 34.1%, higher than national and global figures. Low family monthly income, longer duration of diabetes, poor glucose control and being on insulin treatment alone were important risk factors of diabetic retinopathy. Proper diabetes self management and early screening of diabetic retinopathy in all diabetic patients were recommended.

Project description:Recent evidence suggests there is a link between metabolic diseases and gut microbiota. To investigate the gut microbiota composition and fecal metabolic phenotype in diabetic retinopathy (DR) patients. DNA was extracted from 50 fecal samples (21 individuals with type 2 diabetes mellitus-associated retinopathy (DR), 14 with type 2 diabetes mellitus but without retinopathy (DM) and 15 sex- and age-matched healthy controls) and then sequenced by high-throughput 16S rDNA analysis. Liquid chromatography mass spectrometry (LC-MS)-based metabolomics was simultaneously performed on the samples. A significant difference in the gut microbiota composition was observed between the DR and healthy groups and between the DR and DM groups. At the genus level, Faecalibacterium, Roseburia, Lachnospira and Romboutsia were enriched in DR patients compared to healthy individuals, while Akkermansia was depleted. Compared to those in the DM patient group, five genera, including Prevotella, were enriched, and Bacillus, Veillonella, and Pantoea were depleted in DR patients. Fecal metabolites in DR patients significantly differed from those in the healthy population and DM patients. The levels of carnosine, succinate, nicotinic acid and niacinamide were significantly lower in DR patients than in healthy controls. Compared to those in DM patients, nine metabolites were enriched, and six were depleted in DR patients. KEGG annotation revealed 17 pathways with differentially abundant metabolites between DR patients and healthy controls, and only two pathways with differentially abundant metabolites were identified between DR and DM patients, namely, the arginine-proline and α-linolenic acid metabolic pathways. In a correlation analysis, armillaramide was found to be negatively associated with Prevotella and Subdoligranulum and positively associated with Bacillus. Traumatic acid was negatively correlated with Bacillus. Our study identified differential gut microbiota compositions and characteristic fecal metabolic phenotypes in DR patients compared with those in the healthy population and DM patients. Additionally, the gut microbiota composition and fecal metabolic phenotype were relevant. We speculated that the gut microbiota in DR patients may cause alterations in fecal metabolites, which may contribute to disease progression, providing a new direction for understanding DR.

Project description:BackgroundCurrently 93 million people are estimated as living with diabetic retinopathy worldwide. The prevalence and risk factors of diabetic retinopathy in developed countries have been well documented; but in Ethiopia, data on prevalence and associated factors of diabetic retinopathy is lacking.ObjectiveTo determine prevalence and factors associated with development of diabetic retinopathy among diabetic patients at Arbaminch General Hospital, Ethiopia.MethodCross-sectional study design with record review of 400 diabetic patients was conducted at Arbaminch General Hospital from November to January 2015. Among 400 diabetic patients, 270 patients with baseline information and without history of hypertension at baseline were included in this study. But patients with gestational diabetes and with retinopathy at baseline were excluded from the study. Consecutive sampling technique was applied to select study participants. Data of cohorts was extracted from medical record using pre tested structured extraction check list. Data cleaning, coding, categorizing, merging and analysis carried out by STATA version 12. Descriptive statistics was done and presented accordingly. Bivariate binary logistic regression analysis was done to select potential candidates for the full model at P-value cutoff point ≤ 0.25 and multivariable binary logistic regression analysis was made to estimate the independent effect of predictors on the occurrence of diabetic retinopathy. Model diagnostic tests were done, final model fitness was checked using Hosmer and Lemeshow chi square test. Finally, statistical significance was tested at P-value <0.05.ResultPrevalence of diabetic retinopathy among diabetic patients at Arbaminch General Hospital was 13%. Adjusted analysis showed that the odds of diabetic retinopathy were statistically and significantly associated with baseline age (AOR = 6.06: 95%CI; 2.42, 15.21), baseline systolic blood pressure level (AOR = 4.38: 95%CI; 1.64, 11.68), family history of diabetes (AOR = 0.22: 95%CI; 0.08, 0.58) and duration of diabetes (AOR = 8.84: 95%CI; 3.56, 12.89).Conclusion and recommendationIn the current study, prevalence of diabetic retinopathy was 13%. Since baseline age ≥60 years, baseline systolic blood pressure level >140 mmhg, duration of diabetes ≥6 years and patients with family history of diabetes were statistically and significantly related with diabetic retinopathy, special care should be given in addition to routine care.

Dataset Information

High Prevalence of Diabetic Retinopathy in Diabetic Patients Concomitant with Metabolic Syndrome.

Publications

High Prevalence of Diabetic Retinopathy in Diabetic Patients Concomitant with Metabolic Syndrome.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets