{Reference Type}: Journal Article
{Title}: Clinical Genetics Assessment Triangle (CGAT): A simple tool to identify patients with genetic conditions.
{Author}: Ferri-Rufete D;López-González A;Casas-Alba D;Cuadras D;Palau F;Martínez-Monseny A;
{Journal}: Eur J Med Genet
{Volume}: 66
{Issue}: 11
{Year}: 2023 Nov 26
{Factor}: 2.465
{DOI}: 10.1016/j.ejmg.2023.104858
{Abstract}: <B>OBJECTIVE: </B>The objective of this study was to develop a simple tool for general physicians to promptly identify and refer pediatric patients with a higher probability of having a genetic condition.<BR><B>METHODS: </B>This retrospective, descriptive study was conducted at a tertiary pediatric hospital's Clinical Genetics Unit from June 2019 to January 2020. We included patients under 18 years of age who visited the unit, excluding those without genetic testing. Epidemiological, clinical, and genetic variables were collected from electronic medical records. The primary outcome was the diagnosis of a genetic condition based on genetic testing.<BR><B>RESULTS: </B>Among 445 patients, 304 were included; 163 (53.6%) were male, and mean age was 7.4 years (SD 5.1 years). A genetic condition was diagnosed in 139 patients (45.7%). Using a multiple logistic regression model, five variables significantly contributed to reaching a diagnosis: suspected diagnosis at referral (OR 3.45, P < 0.001), short stature (OR 3.11, P < 0.001), global developmental delay/intellectual disability (OR 2.65, P < 0.001), dysmorphic craniofacial features (OR 1.99, P = 0.035), and multiple congenital anomalies (OR 2.54, P = 0.033). The association strength (OR) increased when these variables were paired with each other. The study's findings are presented in the form of a triangle, known as the Clinical Genetics Assessment Triangle (CGAT), which summarizes the results. A decision tree model is applied to guide clinical department referrals based on the affected sides of the triangle.<BR><B>CONCLUSIONS: </B>The CGAT has the potential to enable general physicians to promptly identify pediatric patients with an increased probability of having a genetic condition.