advertisement
Abstract #98848 Published in IGR 22-4
Decision Tree Algorithm-Based Prediction of Vulnerability to Depressive and Anxiety Symptoms in Caregivers of Children with Glaucoma
Wy S; Choe S; Lee YJ; Bak E; Bak E; Bak E; Bak E; Jang M; Lee SC; Ha A; Jeoung JW; Park KH; Kim YKAmerican Journal of Ophthalmology 2022; 239: 90-97
PURPOSE: Development and validation of a decision tree model (DTM) for prediction of mental health status in Korean caregivers of children with glaucoma. DESIGN: Cross-sectional study. METHODS: Caregivers of children younger than 18 with diagnosed primary childhood glaucoma (n=42), secondary childhood glaucoma (n=51) and glaucoma suspect (GS; n=36) were prospectively enrolled at Seoul National University Children's Hospital, Seoul, Korea. The participants completed 2 questionnaires, the 9-item Patient Health Questionnaire (PHQ-9) and 7-item Generalized Anxiety Disorder (GAD-7) Assessment. A DTM analysis for discrimination of those with moderate-to-severe depressive (PHQ-9 score ≥10) and anxiety (GAD-7 score ≥11) symptoms was performed with recursive partitioning algorithms based on the -obtained clinical, demographic, and socioeconomic data. RESULTS: The mean PHQ-9 and GAD-7 scores did not significantly differ among the three groups: P=0.823 for PHQ-9 score; P=0.730 for GAD-7 score. The DTM's balanced accuracies were 0.875 (95% CI, 0.778-0.972) for PHQ-9 score and 0.880 (95% CI, 0.800-0.960) for GAD-7 score. The DTM of PHQ-9 revealed that in caregivers of children with glaucoma, depressive symptoms should be strongly suspected when (1) the child has undergone more than 2 glaucoma surgeries; (2) the visual acuity (VA, converted to logarithm of minimum angle of resolution (logMAR)) in the better eye is worse than 0.4 if the child has had only 1 or no surgery. CONCLUSIONS: Evaluation of number of glaucoma surgeries and VA in the better eye can be a useful decision-support tool in predicting mental illness in caregivers of children with glaucoma.
Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea; Department of Ophthalmology, Seoul National University Hospital, Seoul, Korea.
Full article