Real-world outcomes of a clinical decision support system for diabetic retinopathy in Spain.
BMJ Open Ophthalmol
; 7(1): e000974, 2022.
Article
in En
| MEDLINE
| ID: mdl-35415265
ABSTRACT
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 andanalysis:
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%, α error of 0.0079 and ß error of 0.0179.Conclusion:
Our CDSS for predicting DR was successful when applied to a real population.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Decision Support Systems, Clinical
/
Diabetes Mellitus, Type 2
/
Diabetic Retinopathy
/
Hypertension
Type of study:
Diagnostic_studies
/
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Female
/
Humans
/
Male
Country/Region as subject:
Europa
Language:
En
Journal:
BMJ Open Ophthalmol
Year:
2022
Document type:
Article
Affiliation country:
Spain