Autor segons l'article: Romero-Aroca, Pedro; Verges, Raquel; Maarof, Najlaa; Vallas-Mateu, Aida; Latorre, Alex; Moreno-Ribas, Antonio; Sagarra-Alamo, Ramon; Basora-Gallisa, Josep; Cristiano, Julian; Baget-Bernaldiz, Marc;
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: CRISTIANO RODRÍGUEZ, JULIÁN EFRÉN / Moreno Ribas, Antonio / Romero Aroca, Pedro
Paraules clau: Validation Telemedicine Screening intervals Risk-assessment Retina Optimization Model Frequency Epidemiology Diagnostic tests/investigation
Resum: Objective The aim of present study was to evaluate our clinical decision support system (CDSS) for predicting risk of diabetic retinopathy (DR). We selected randomly a real population of patients with type 2 diabetes (T2DM) who were attending our screening programme.Methods and analysis The sample size was 602 patients with T2DM randomly selected from those who attended the DR screening programme. The algorithm developed uses nine risk factors: current age, sex, body mass index (BMI), duration and treatment of diabetes mellitus (DM), arterial hypertension, Glicated hemoglobine (HbA1c), urine-albumin ratio and glomerular filtration.Results The mean current age of 67.03 +/- 10.91, and 272 were male (53.2%), and DM duration was 10.12 +/- 6.4 years, 222 had DR (35.8%). The CDSS was employed for 1 year. The prediction algorithm that the CDSS uses included nine risk factors: current age, sex, BMI, DM duration and treatment, arterial hypertension, HbA1c, urine-albumin ratio and glomerular filtration. The area under the curve (AUC) for predicting the presence of any DR achieved a value of 0.9884, the sensitivity of 98.21%, specificity of 99.21%, positive predictive value of 98.65%, negative predictive value of 98.95%, alpha error of 0.0079 and beta error of 0.0179.Conclusion Our CDSS for predicting DR was successful when applied to a real population.
Àrees temàtiques: Ophthalmology
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: pedro.romero@urv.cat antonio.moreno@urv.cat
Identificador de l'autor: 0000-0002-7061-8987 0000-0003-3945-2314
Data d'alta del registre: 2024-01-13
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://bmjophth.bmj.com/content/7/1/e000974-0
URL Document de llicència: http://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Bmj Open Ophthalmol. 7 (1): e000974-
Referència de l'ítem segons les normes APA: Romero-Aroca, Pedro; Verges, Raquel; Maarof, Najlaa; Vallas-Mateu, Aida; Latorre, Alex; Moreno-Ribas, Antonio; Sagarra-Alamo, Ramon; Basora-Gallisa, J (2022). Real-world outcomes of a clinical decision support system for diabetic retinopathy in Spain. Bmj Open Ophthalmol, 7(1), e000974-. DOI: 10.1136/bmjophth-2022-000974
DOI de l'article: 10.1136/bmjophth-2022-000974
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2022
Tipus de publicació: Journal Publications
Repositori URV