(C-238) Potential Related Factors Influencing the Occurrence of CVD in Newly Diagnosed ADHD Patients

Background: ADHD is a most frequent neurodevelopment disorder in childhood. Numerous studies have been discussed about correlation between ADHD and CVD. However, the available data of potentially related factors in children is insufficient.

Objectives: We aimed to provide insights into the potential influencing factors of CVD in ADHD and to analyze patients across different age groups (preschool age: < 6 year-old; school age: 6-12 year-old; adolescent: 13-19 year-old).

Methods: This was a retrospectively population-based study. Patients under 20 years old who were newly diagnosed with ADHD between 2012 and 2020 were identified using the Taiwan National Health Insurance Database. These patients were divided into two groups based on whether they were developed with CVD after their ADHD diagnosis. Each person with CVD was matched to up to 4 patients without CVD based on the exact calendar year and month of the CVD occurrence date, age, and sex. Categorical variables were presented as frequency and percentage (%), while continuous variables were presented as mean ± standard deviation. The definition of significant difference between groups was the absolute value of the standardized differences higher than 0.1.

Results: Total 6,927 patients with CVD and 23,108 patients without CVD were included. In patients with CVD, the proportion of preschool age, school age and adolescent were 2.4%, 40.0% and 57.6%, respectively. In the preschool age group, the CVD group had higher usage of antiepileptic, antipsychotics, xanthine drugs, and NSAIDs, as well as more cases of diabetes and epilepsy, compared to the non-CVD group. In the school-age groups, the CVD group had a significantly lower developmental delay and higher beta-blocker usage than that in non-CVD groups.
In adolescents, obesity, diabetes, hyperlipidemia, liver disease, and the use of aspirin, beta-blockers, antihypertensives, and antipsychotic agents were significantly higher in CVD group than in non-CVD groups. Notably, congenital heart disease is the only significantly higher factor in the case group in three age groups.

Conclusions: We found that the differences in characteristics between CVD and non-CVD patients varied significantly across different age groups of ADHD patients. In the future, we will conduct a causal analysis on the impact of ADHD treatment medications on the occurrence of CVD in patients across different age groups.