Prevalence and risk factors of diabetic retinopathy among Chinese adults with type 2 diabetes in a suburb of Shanghai, China
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. A population-based cross-sectional study. A total of 7462 residents with T2DM in Qingpu were enrolled according to the res...
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| description | 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. 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. 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. 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. |
| doi_str_mv | 10.1371/journal.pone.0275617 |
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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. 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. 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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0275617</identifier><identifier>PMID: 36194621</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Adults ; Age ; Albumin ; Albumins ; Biology and life sciences ; Body mass index ; Complications and side effects ; Correlation analysis ; Creatinine ; Developing countries ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diabetic retinopathy ; Earth Sciences ; Fasting ; Gender ; Glucose ; Glycosylated hemoglobin ; Health aspects ; Health risks ; Hemoglobin ; High density lipoprotein ; Hyperglycemia ; Indicators ; Laboratory testing ; LDCs ; Lipids ; Measurement ; Medicine and Health Sciences ; Megacities ; Nitrogen ; Normal distribution ; Ophthalmology ; People and Places ; Physical Sciences ; Population ; Population studies ; Principal components analysis ; Regression analysis ; Renal function ; Research and Analysis Methods ; Retinal images ; Retinopathy ; Risk analysis ; Risk factors ; Social Sciences ; Statistical analysis ; Statistics ; Suburban areas ; Type 2 diabetes ; Urea ; Ureas ; Urine</subject><ispartof>PloS one, 2022-10, Vol.17 (10), p.e0275617-e0275617</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Tan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 Tan et al 2022 Tan et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c669t-e3c8729fe5439c4b8fbccb3cbf86763357ef05dc65390bae67cfb86a49cd5a43</citedby><cites>FETCH-LOGICAL-c669t-e3c8729fe5439c4b8fbccb3cbf86763357ef05dc65390bae67cfb86a49cd5a43</cites><orcidid>0000-0002-2406-9948</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531829/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531829/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids></links><search><contributor>Singh, Kanhaiya</contributor><creatorcontrib>Tan, Huiling</creatorcontrib><creatorcontrib>Wang, Xin</creatorcontrib><creatorcontrib>Ye, Kaiyou</creatorcontrib><creatorcontrib>Lin, Jianmin</creatorcontrib><creatorcontrib>Song, E</creatorcontrib><creatorcontrib>Gong, Lihua</creatorcontrib><title>Prevalence and risk factors of diabetic retinopathy among Chinese adults with type 2 diabetes in a suburb of Shanghai, China</title><title>PloS one</title><description>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. 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. 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. 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.</description><subject>Adults</subject><subject>Age</subject><subject>Albumin</subject><subject>Albumins</subject><subject>Biology and life sciences</subject><subject>Body mass index</subject><subject>Complications and side effects</subject><subject>Correlation analysis</subject><subject>Creatinine</subject><subject>Developing countries</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetic retinopathy</subject><subject>Earth Sciences</subject><subject>Fasting</subject><subject>Gender</subject><subject>Glucose</subject><subject>Glycosylated hemoglobin</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Hemoglobin</subject><subject>High density lipoprotein</subject><subject>Hyperglycemia</subject><subject>Indicators</subject><subject>Laboratory testing</subject><subject>LDCs</subject><subject>Lipids</subject><subject>Measurement</subject><subject>Medicine and Health Sciences</subject><subject>Megacities</subject><subject>Nitrogen</subject><subject>Normal distribution</subject><subject>Ophthalmology</subject><subject>People and Places</subject><subject>Physical Sciences</subject><subject>Population</subject><subject>Population studies</subject><subject>Principal components analysis</subject><subject>Regression analysis</subject><subject>Renal function</subject><subject>Research and Analysis Methods</subject><subject>Retinal images</subject><subject>Retinopathy</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Social Sciences</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>Suburban areas</subject><subject>Type 2 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tan, Huiling</au><au>Wang, Xin</au><au>Ye, Kaiyou</au><au>Lin, Jianmin</au><au>Song, E</au><au>Gong, Lihua</au><au>Singh, Kanhaiya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence and risk factors of diabetic retinopathy among Chinese adults with type 2 diabetes in a suburb of Shanghai, China</atitle><jtitle>PloS one</jtitle><date>2022-10-04</date><risdate>2022</risdate><volume>17</volume><issue>10</issue><spage>e0275617</spage><epage>e0275617</epage><pages>e0275617-e0275617</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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. 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. 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. 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.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>36194621</pmid><doi>10.1371/journal.pone.0275617</doi><tpages>e0275617</tpages><orcidid>https://orcid.org/0000-0002-2406-9948</orcidid><oa>free_for_read</oa></addata></record> |
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| source | DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adults Age Albumin Albumins Biology and life sciences Body mass index Complications and side effects Correlation analysis Creatinine Developing countries Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetic retinopathy Earth Sciences Fasting Gender Glucose Glycosylated hemoglobin Health aspects Health risks Hemoglobin High density lipoprotein Hyperglycemia Indicators Laboratory testing LDCs Lipids Measurement Medicine and Health Sciences Megacities Nitrogen Normal distribution Ophthalmology People and Places Physical Sciences Population Population studies Principal components analysis Regression analysis Renal function Research and Analysis Methods Retinal images Retinopathy Risk analysis Risk factors Social Sciences Statistical analysis Statistics Suburban areas Type 2 diabetes Urea Ureas Urine |
| title | Prevalence and risk factors of diabetic retinopathy among Chinese adults with type 2 diabetes in a suburb of Shanghai, China |
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