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A Diabetic Retinopathy Screening Tool for Low-Income Adults in Mexico.
Mendoza-Herrera, Kenny; Quezada, Amado D; Pedroza-Tobías, Andrea; Hernández-Alcaraz, Cesar; Fromow-Guerra, Jans; Barquera, Simón.
Afiliação
  • Mendoza-Herrera K; Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, México.
  • Quezada AD; Center for Evaluation and Surveys Research, National Institute of Public Health, Cuernavaca, Morelos, México.
  • Pedroza-Tobías A; Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, México.
  • Hernández-Alcaraz C; Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, México.
  • Fromow-Guerra J; Association for the Prevention of Blindness in Mexico, México City, México.
  • Barquera S; Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, México.
Prev Chronic Dis ; 14: E95, 2017 10 12.
Article em En | MEDLINE | ID: mdl-29023230
INTRODUCTION: A national diabetic retinopathy screening program does not exist in Mexico as of 2017. Our objective was to develop a screening tool based on a predictive model for early detection of diabetic retinopathy in a low-income population. METHODS: We analyzed biochemical, clinical, anthropometric, and sociodemographic information from 1,000 adults with diabetes in low-income communities in Mexico (from 11,468 adults recruited in 2014-2016). A comprehensive ophthalmologic evaluation was performed. We developed the screening tool through the following stages: 1) development of a theoretical predictive model, 2) performance assessment and validation of the model using cross-validation and the area under the receiver operating characteristic curve (AUC ROC), and 3) optimization of cut points for the classification of diabetic retinopathy. We identified points along the AUC ROC that minimized the misclassification cost function and considered various scenarios of misclassification costs and diabetic retinopathy prevalence. RESULTS: Time since diabetes diagnosis, high blood glucose levels, systolic hypertension, and physical inactivity were considered risk factors in our screening tool. The mean AUC ROC of our model was 0.780 (validation data set). The optimized cut point that best represented our study population (z = -0.640) had a sensitivity of 82.9% and a specificity of 61.9%. CONCLUSION: We developed a low-cost and easy-to-apply screening tool to detect people at high risk of diabetic retinopathy in Mexico. Although classification performance of our tool was acceptable (AUC ROC > 0.75), error rates (precision) depend on false-negative and false-positive rates. Therefore, confirmatory assessment of all cases is mandatory.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Programas de Rastreamento / Retinopatia Diabética Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Aspecto: Determinantes_sociais_saude Limite: Aged / Female / Humans / Male / Middle aged País/Região como assunto: Mexico Idioma: En Revista: Prev Chronic Dis Assunto da revista: SAUDE PUBLICA Ano de publicação: 2017 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Programas de Rastreamento / Retinopatia Diabética Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Aspecto: Determinantes_sociais_saude Limite: Aged / Female / Humans / Male / Middle aged País/Região como assunto: Mexico Idioma: En Revista: Prev Chronic Dis Assunto da revista: SAUDE PUBLICA Ano de publicação: 2017 Tipo de documento: Article País de publicação: Estados Unidos