Using clinical and genetic data to predict pulmonary hypertension in bronchopulmonary dysplasia

Area of Science:

• Pediatric Pulmonology
• Medical Genetics
• Neonatology

Background:

• Infants with bronchopulmonary dysplasia face increased risks of pulmonary hypertension, a condition linked to higher morbidity and mortality.
• Genetic variations in arginase-1 (ARG1 rs2781666) and dimethylarginine dimethylaminohydrolase-1 (DDAH1 rs480414) have shown differential frequencies in bronchopulmonary dysplasia patients with and without pulmonary hypertension.

Purpose of the Study:

• To evaluate the hypothesis that combining ARG1 and DDAH1 genotypes with phenotypic data improves the prediction of pulmonary hypertension in bronchopulmonary dysplasia.
• To assess the predictive value of specific genetic polymorphisms and clinical factors for pulmonary hypertension in this vulnerable infant population.

Main Methods:

• A cohort of 79 infants with bronchopulmonary dysplasia, born prematurely (<35 weeks gestation), was analyzed.
• Pulmonary hypertension was diagnosed using echocardiographic criteria. Receiver Operating Characteristic (ROC) curves were generated using genotypic (rs2781666 and rs480414) and clinical data.

Main Results:

• Infants diagnosed with pulmonary hypertension (cases) had an earlier birth gestation and lower birth weight compared to controls.
• Individual ROC analysis showed an Area Under the Curve (AUC) of 0.61 for ARG1 rs2781666 and 0.66 for DDAH1 rs480414.
• Combining both genotypes yielded an AUC of 0.70, which increased to 0.73 when clinical data were incorporated into the genetic model.

Conclusions:

• The predictive modeling for pulmonary hypertension in bronchopulmonary dysplasia is significantly enhanced by integrating both genotypic and phenotypic information.
• These findings support the development of precision medicine strategies for managing pulmonary hypertension in infants with bronchopulmonary dysplasia.