Diabetic retinopathy screening in urban primary care setting with a handheld smartphone-based retinal camera
Aims To evaluate diabetic retinopathy (DR) screening with a portable handheld smartphone-based retinal camera and telemedicine in an urban primary healthcare setting and to evaluate the learning curve for image acquisition, performed by healthcare personnel without previous experience in retinal ima...
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creator | Queiroz, Márcia Silva de Carvalho, Jacira Xavier Bortoto, Silvia Ferreira de Matos, Mozania Reis das Graças Dias Cavalcante, Cristiane Andrade, Elenilda Almeida Silva Correa-Giannella, Maria Lúcia Malerbi, Fernando Korn |
description | Aims
To evaluate diabetic retinopathy (DR) screening with a portable handheld smartphone-based retinal camera and telemedicine in an urban primary healthcare setting and to evaluate the learning curve for image acquisition, performed by healthcare personnel without previous experience in retinal imaging.
Methods
This was a prospective study that enrolled patients with type 2 diabetes mellitus (T2DM) followed at a primary healthcare unit in São Paulo, Brazil. After a brief training in image acquisition, there was further continuous feedback given by a retina specialist during the remote image reading process. Each patient underwent two fundus and one anterior ocular segment images per eye, after mydriasis. Patients were classified according to the need of referral.
Results
A total of 627 adult individuals with T2DM underwent retinal evaluation. The population was composed by 63.2% female individuals, age median of 66 years, diabetes duration 10.7 ± 8.2 years and HbA1c 7.7 ± 1.9% (61 + 20.8 mmol/mol). The most prevalent associated comorbidities were arterial hypertension (80.3%) and dyslipidemia (50.2%). Referral decision was possible in 81.2% patients. Most patients had absent or non-referable DR; the main ocular media opacity detected was cataract. After the 7th day of image acquisition, the daily rate of patients whose images allowed clinical decision was maintained above 80%. A higher HbA1c was associated with referable DR.
Conclusions
A low-cost DR screening strategy with a handheld device and telemedicine is feasible and has the potential to increase coverage of DR screening in underserved areas; the possibility of mobile units is relevant for DR screening in the context of COVID-19 pandemic.
Graphic abstract
Daily rate of patients whose examinations allowed clinical decision.
X
-axis: day of examination;
Y
-axis: rate (%) of patients whose examinations allowed a clinical decision |
doi_str_mv | 10.1007/s00592-020-01585-7 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7398859</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2430379584</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-4199c05cb2084f3251ad9ace04c88213ed1df596d987f8510b05d988e7a6440d3</originalsourceid><addsrcrecordid>eNp9kUuLFDEUhYMoTtv6B1xIwI2b0ptXJ9kIMj5hwI2uQyp1qytDdapNqkbm35u22vGxcJMEzndP7uEQ8pTBSwagXxUAZXkDHBpgyqhG3yMbJgVvFBfiPtmAldAoye0FeVTKNQDjWpiH5EJwLQ3Tuw0Z30bf4hwDzfVM09HPwy0tISOmmPY0Jrrk1id6zPHg8y0NPiMtOM8n9XucB-rp4FM34NjRUpH5OEwJm9YX7FZTP9apA2b_mDzo_Vjwyfnekq_v3325_Nhcff7w6fLNVROklnMjmbUBVGg5GNkLrpjvrA8IMhjDmcCOdb2yu84a3RvFoAVV3wa130kJndiS16vvcWkP2AVMc_ajO0dwk4_ubyXFwe2nG6dFtVG2Grw4G-Tp24JldodYAo6jTzgtxXEpQGirjKzo83_Q62nJNfOJ0hWqDKsUX6mQp1Iy9nfLMHCnMt1apqtlup9l1l225NmfMe5GfrVXAbECpUppj_n33_-x_QH0sqwG</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2473798431</pqid></control><display><type>article</type><title>Diabetic retinopathy screening in urban primary care setting with a handheld smartphone-based retinal camera</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Queiroz, Márcia Silva ; de Carvalho, Jacira Xavier ; Bortoto, Silvia Ferreira ; de Matos, Mozania Reis ; das Graças Dias Cavalcante, Cristiane ; Andrade, Elenilda Almeida Silva ; Correa-Giannella, Maria Lúcia ; Malerbi, Fernando Korn</creator><creatorcontrib>Queiroz, Márcia Silva ; de Carvalho, Jacira Xavier ; Bortoto, Silvia Ferreira ; de Matos, Mozania Reis ; das Graças Dias Cavalcante, Cristiane ; Andrade, Elenilda Almeida Silva ; Correa-Giannella, Maria Lúcia ; Malerbi, Fernando Korn</creatorcontrib><description>Aims
To evaluate diabetic retinopathy (DR) screening with a portable handheld smartphone-based retinal camera and telemedicine in an urban primary healthcare setting and to evaluate the learning curve for image acquisition, performed by healthcare personnel without previous experience in retinal imaging.
Methods
This was a prospective study that enrolled patients with type 2 diabetes mellitus (T2DM) followed at a primary healthcare unit in São Paulo, Brazil. After a brief training in image acquisition, there was further continuous feedback given by a retina specialist during the remote image reading process. Each patient underwent two fundus and one anterior ocular segment images per eye, after mydriasis. Patients were classified according to the need of referral.
Results
A total of 627 adult individuals with T2DM underwent retinal evaluation. The population was composed by 63.2% female individuals, age median of 66 years, diabetes duration 10.7 ± 8.2 years and HbA1c 7.7 ± 1.9% (61 + 20.8 mmol/mol). The most prevalent associated comorbidities were arterial hypertension (80.3%) and dyslipidemia (50.2%). Referral decision was possible in 81.2% patients. Most patients had absent or non-referable DR; the main ocular media opacity detected was cataract. After the 7th day of image acquisition, the daily rate of patients whose images allowed clinical decision was maintained above 80%. A higher HbA1c was associated with referable DR.
Conclusions
A low-cost DR screening strategy with a handheld device and telemedicine is feasible and has the potential to increase coverage of DR screening in underserved areas; the possibility of mobile units is relevant for DR screening in the context of COVID-19 pandemic.
Graphic abstract
Daily rate of patients whose examinations allowed clinical decision.
X
-axis: day of examination;
Y
-axis: rate (%) of patients whose examinations allowed a clinical decision</description><identifier>ISSN: 0940-5429</identifier><identifier>EISSN: 1432-5233</identifier><identifier>DOI: 10.1007/s00592-020-01585-7</identifier><identifier>PMID: 32748176</identifier><language>eng</language><publisher>Milan: Springer Milan</publisher><subject>Adult ; Aged ; Brazil ; Cataracts ; Coronavirus Infections - epidemiology ; COVID-19 ; Diabetes ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - complications ; Diabetic retinopathy ; Diabetic Retinopathy - diagnosis ; Diabetic Retinopathy - diagnostic imaging ; Dyslipidemia ; Eye Complications of Diabetes ; Female ; Humans ; Internal Medicine ; Male ; Mass Screening - instrumentation ; Mass Screening - methods ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Middle Aged ; Original ; Original Article ; Pandemics ; Photography - methods ; Pneumonia, Viral - epidemiology ; Prevalence ; Primary Health Care - methods ; Prospective Studies ; Referral and Consultation ; Retina ; Retina - diagnostic imaging ; Retinopathy ; Smartphone ; Smartphones ; Telemedicine ; Telemedicine - instrumentation ; Telemedicine - methods</subject><ispartof>Acta diabetologica, 2020-12, Vol.57 (12), p.1493-1499</ispartof><rights>Springer-Verlag Italia S.r.l., part of Springer Nature 2020</rights><rights>Springer-Verlag Italia S.r.l., part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-4199c05cb2084f3251ad9ace04c88213ed1df596d987f8510b05d988e7a6440d3</citedby><cites>FETCH-LOGICAL-c474t-4199c05cb2084f3251ad9ace04c88213ed1df596d987f8510b05d988e7a6440d3</cites><orcidid>0000-0002-6523-5172</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00592-020-01585-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00592-020-01585-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32748176$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Queiroz, Márcia Silva</creatorcontrib><creatorcontrib>de Carvalho, Jacira Xavier</creatorcontrib><creatorcontrib>Bortoto, Silvia Ferreira</creatorcontrib><creatorcontrib>de Matos, Mozania Reis</creatorcontrib><creatorcontrib>das Graças Dias Cavalcante, Cristiane</creatorcontrib><creatorcontrib>Andrade, Elenilda Almeida Silva</creatorcontrib><creatorcontrib>Correa-Giannella, Maria Lúcia</creatorcontrib><creatorcontrib>Malerbi, Fernando Korn</creatorcontrib><title>Diabetic retinopathy screening in urban primary care setting with a handheld smartphone-based retinal camera</title><title>Acta diabetologica</title><addtitle>Acta Diabetol</addtitle><addtitle>Acta Diabetol</addtitle><description>Aims
To evaluate diabetic retinopathy (DR) screening with a portable handheld smartphone-based retinal camera and telemedicine in an urban primary healthcare setting and to evaluate the learning curve for image acquisition, performed by healthcare personnel without previous experience in retinal imaging.
Methods
This was a prospective study that enrolled patients with type 2 diabetes mellitus (T2DM) followed at a primary healthcare unit in São Paulo, Brazil. After a brief training in image acquisition, there was further continuous feedback given by a retina specialist during the remote image reading process. Each patient underwent two fundus and one anterior ocular segment images per eye, after mydriasis. Patients were classified according to the need of referral.
Results
A total of 627 adult individuals with T2DM underwent retinal evaluation. The population was composed by 63.2% female individuals, age median of 66 years, diabetes duration 10.7 ± 8.2 years and HbA1c 7.7 ± 1.9% (61 + 20.8 mmol/mol). The most prevalent associated comorbidities were arterial hypertension (80.3%) and dyslipidemia (50.2%). Referral decision was possible in 81.2% patients. Most patients had absent or non-referable DR; the main ocular media opacity detected was cataract. After the 7th day of image acquisition, the daily rate of patients whose images allowed clinical decision was maintained above 80%. A higher HbA1c was associated with referable DR.
Conclusions
A low-cost DR screening strategy with a handheld device and telemedicine is feasible and has the potential to increase coverage of DR screening in underserved areas; the possibility of mobile units is relevant for DR screening in the context of COVID-19 pandemic.
Graphic abstract
Daily rate of patients whose examinations allowed clinical decision.
X
-axis: day of examination;
Y
-axis: rate (%) of patients whose examinations allowed a clinical decision</description><subject>Adult</subject><subject>Aged</subject><subject>Brazil</subject><subject>Cataracts</subject><subject>Coronavirus Infections - epidemiology</subject><subject>COVID-19</subject><subject>Diabetes</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - complications</subject><subject>Diabetic retinopathy</subject><subject>Diabetic Retinopathy - diagnosis</subject><subject>Diabetic Retinopathy - diagnostic imaging</subject><subject>Dyslipidemia</subject><subject>Eye Complications of Diabetes</subject><subject>Female</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Male</subject><subject>Mass Screening - instrumentation</subject><subject>Mass Screening - methods</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Middle Aged</subject><subject>Original</subject><subject>Original Article</subject><subject>Pandemics</subject><subject>Photography - methods</subject><subject>Pneumonia, Viral - epidemiology</subject><subject>Prevalence</subject><subject>Primary Health Care - methods</subject><subject>Prospective Studies</subject><subject>Referral and Consultation</subject><subject>Retina</subject><subject>Retina - diagnostic imaging</subject><subject>Retinopathy</subject><subject>Smartphone</subject><subject>Smartphones</subject><subject>Telemedicine</subject><subject>Telemedicine - instrumentation</subject><subject>Telemedicine - methods</subject><issn>0940-5429</issn><issn>1432-5233</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUuLFDEUhYMoTtv6B1xIwI2b0ptXJ9kIMj5hwI2uQyp1qytDdapNqkbm35u22vGxcJMEzndP7uEQ8pTBSwagXxUAZXkDHBpgyqhG3yMbJgVvFBfiPtmAldAoye0FeVTKNQDjWpiH5EJwLQ3Tuw0Z30bf4hwDzfVM09HPwy0tISOmmPY0Jrrk1id6zPHg8y0NPiMtOM8n9XucB-rp4FM34NjRUpH5OEwJm9YX7FZTP9apA2b_mDzo_Vjwyfnekq_v3325_Nhcff7w6fLNVROklnMjmbUBVGg5GNkLrpjvrA8IMhjDmcCOdb2yu84a3RvFoAVV3wa130kJndiS16vvcWkP2AVMc_ajO0dwk4_ubyXFwe2nG6dFtVG2Grw4G-Tp24JldodYAo6jTzgtxXEpQGirjKzo83_Q62nJNfOJ0hWqDKsUX6mQp1Iy9nfLMHCnMt1apqtlup9l1l225NmfMe5GfrVXAbECpUppj_n33_-x_QH0sqwG</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Queiroz, Márcia Silva</creator><creator>de Carvalho, Jacira Xavier</creator><creator>Bortoto, Silvia Ferreira</creator><creator>de Matos, Mozania Reis</creator><creator>das Graças Dias Cavalcante, Cristiane</creator><creator>Andrade, Elenilda Almeida Silva</creator><creator>Correa-Giannella, Maria Lúcia</creator><creator>Malerbi, Fernando Korn</creator><general>Springer Milan</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6523-5172</orcidid></search><sort><creationdate>20201201</creationdate><title>Diabetic retinopathy screening in urban primary care setting with a handheld smartphone-based retinal camera</title><author>Queiroz, Márcia Silva ; de Carvalho, Jacira Xavier ; Bortoto, Silvia Ferreira ; de Matos, Mozania Reis ; das Graças Dias Cavalcante, Cristiane ; Andrade, Elenilda Almeida Silva ; Correa-Giannella, Maria Lúcia ; Malerbi, Fernando Korn</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-4199c05cb2084f3251ad9ace04c88213ed1df596d987f8510b05d988e7a6440d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Brazil</topic><topic>Cataracts</topic><topic>Coronavirus Infections - epidemiology</topic><topic>COVID-19</topic><topic>Diabetes</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diabetes Mellitus, Type 2 - complications</topic><topic>Diabetic retinopathy</topic><topic>Diabetic Retinopathy - diagnosis</topic><topic>Diabetic Retinopathy - diagnostic imaging</topic><topic>Dyslipidemia</topic><topic>Eye Complications of Diabetes</topic><topic>Female</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Male</topic><topic>Mass Screening - instrumentation</topic><topic>Mass Screening - methods</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Middle Aged</topic><topic>Original</topic><topic>Original Article</topic><topic>Pandemics</topic><topic>Photography - methods</topic><topic>Pneumonia, Viral - epidemiology</topic><topic>Prevalence</topic><topic>Primary Health Care - methods</topic><topic>Prospective Studies</topic><topic>Referral and Consultation</topic><topic>Retina</topic><topic>Retina - diagnostic imaging</topic><topic>Retinopathy</topic><topic>Smartphone</topic><topic>Smartphones</topic><topic>Telemedicine</topic><topic>Telemedicine - instrumentation</topic><topic>Telemedicine - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Queiroz, Márcia Silva</creatorcontrib><creatorcontrib>de Carvalho, Jacira Xavier</creatorcontrib><creatorcontrib>Bortoto, Silvia Ferreira</creatorcontrib><creatorcontrib>de Matos, Mozania Reis</creatorcontrib><creatorcontrib>das Graças Dias Cavalcante, Cristiane</creatorcontrib><creatorcontrib>Andrade, Elenilda Almeida Silva</creatorcontrib><creatorcontrib>Correa-Giannella, Maria Lúcia</creatorcontrib><creatorcontrib>Malerbi, Fernando Korn</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Acta diabetologica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Queiroz, Márcia Silva</au><au>de Carvalho, Jacira Xavier</au><au>Bortoto, Silvia Ferreira</au><au>de Matos, Mozania Reis</au><au>das Graças Dias Cavalcante, Cristiane</au><au>Andrade, Elenilda Almeida Silva</au><au>Correa-Giannella, Maria Lúcia</au><au>Malerbi, Fernando Korn</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diabetic retinopathy screening in urban primary care setting with a handheld smartphone-based retinal camera</atitle><jtitle>Acta diabetologica</jtitle><stitle>Acta Diabetol</stitle><addtitle>Acta Diabetol</addtitle><date>2020-12-01</date><risdate>2020</risdate><volume>57</volume><issue>12</issue><spage>1493</spage><epage>1499</epage><pages>1493-1499</pages><issn>0940-5429</issn><eissn>1432-5233</eissn><abstract>Aims
To evaluate diabetic retinopathy (DR) screening with a portable handheld smartphone-based retinal camera and telemedicine in an urban primary healthcare setting and to evaluate the learning curve for image acquisition, performed by healthcare personnel without previous experience in retinal imaging.
Methods
This was a prospective study that enrolled patients with type 2 diabetes mellitus (T2DM) followed at a primary healthcare unit in São Paulo, Brazil. After a brief training in image acquisition, there was further continuous feedback given by a retina specialist during the remote image reading process. Each patient underwent two fundus and one anterior ocular segment images per eye, after mydriasis. Patients were classified according to the need of referral.
Results
A total of 627 adult individuals with T2DM underwent retinal evaluation. The population was composed by 63.2% female individuals, age median of 66 years, diabetes duration 10.7 ± 8.2 years and HbA1c 7.7 ± 1.9% (61 + 20.8 mmol/mol). The most prevalent associated comorbidities were arterial hypertension (80.3%) and dyslipidemia (50.2%). Referral decision was possible in 81.2% patients. Most patients had absent or non-referable DR; the main ocular media opacity detected was cataract. After the 7th day of image acquisition, the daily rate of patients whose images allowed clinical decision was maintained above 80%. A higher HbA1c was associated with referable DR.
Conclusions
A low-cost DR screening strategy with a handheld device and telemedicine is feasible and has the potential to increase coverage of DR screening in underserved areas; the possibility of mobile units is relevant for DR screening in the context of COVID-19 pandemic.
Graphic abstract
Daily rate of patients whose examinations allowed clinical decision.
X
-axis: day of examination;
Y
-axis: rate (%) of patients whose examinations allowed a clinical decision</abstract><cop>Milan</cop><pub>Springer Milan</pub><pmid>32748176</pmid><doi>10.1007/s00592-020-01585-7</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-6523-5172</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; SpringerLink Journals - AutoHoldings |
subjects | Adult Aged Brazil Cataracts Coronavirus Infections - epidemiology COVID-19 Diabetes Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - complications Diabetic retinopathy Diabetic Retinopathy - diagnosis Diabetic Retinopathy - diagnostic imaging Dyslipidemia Eye Complications of Diabetes Female Humans Internal Medicine Male Mass Screening - instrumentation Mass Screening - methods Medicine Medicine & Public Health Metabolic Diseases Middle Aged Original Original Article Pandemics Photography - methods Pneumonia, Viral - epidemiology Prevalence Primary Health Care - methods Prospective Studies Referral and Consultation Retina Retina - diagnostic imaging Retinopathy Smartphone Smartphones Telemedicine Telemedicine - instrumentation Telemedicine - methods |
title | Diabetic retinopathy screening in urban primary care setting with a handheld smartphone-based retinal camera |
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