Abstract
Introduction: Latent class cluster analysis (LCCA) is a statistical procedure to sort a sample, according to item response of each member of a sample. It has been used with ADHD in order to derive mild cases for genetic studies.
Objective: To analyze LCC from 408 members of 120 nuclear families with a ADHD proband, related to registered symptoms obtained with a structured psychiatric interview.
Patient and methods: From a proband (school -gold standard- ADHD affected child from Barranquilla) nuclear families were recruited, which were assess for ADHD and comorbidities diagnoses. Sample was 408 members of 120 nuclear families, mean age 26,6 ± 15,4 years old. Using Latent Gold 4,0 software, an ACCL with each ADHD categorical symptoms, and comorbidities with ODD and CD was run. Gender and age were used as categorical active covariables. A cross tabulation analysis between LCC and ADHD gold standard diagnosis was done.
Results: The best model (maximum likelihood index) was a 6 LCC (p Bootstrap = 0,08). Cluster 1 (32,5%) were predominantly female adults with low (< 20%) probability of ADHD symptoms. Cluster 2 (17,4%) were adults and children with 40 to 80% probabilities of combined ADHD symptoms. Cluster 3 (15,7%) were children with ~100% of ADHD combined symptoms with ODD and CD comorbidities. Cluster 4 (14,3%) were adults of both genders with 20 to 50% probabilities of hyperactivity - impulsivity and ODD (70%) and CD (40%). Cluster 5 (10,6%) were 80% adults with 30 to 90% probabilities of inattentive symptoms without comorbidities. Cluster 6 (9,5%) had high probabilities of inattentive symptoms.
Conclusions: A 6 LCC model was obtained. Four LCC were ADHD affected, one was unaffected and one with similar proportion of affected and unaffected members, which would are able to be used for genetic analyses with ADHD susceptibility gene markers.
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