Question 1: How can we identify children with MS using ICD-10 codes in the PEDSnet dataset Question 2: How do neighborhood exposures influence the risk of pediatric MS development Aim 1: Validate a computable phenotype to identify pediatric MS. Aim 2: Establish the relationship between neighborhood-level features and pediatric MS.
This study will validate a computable phenotype to identify children with pulmonary embolism (PE), with a particular focus on PE in cardiac populations. Hilary Whitworth and the CENTIPEDE Study Team will validate outcomes, interventions, and risk stratification in a multicenter database (PEDSnet). Multicenter data is necessary for powerful research to identify safe and effective therapies […]
Patients with LTMV are a small, heterogeneous population who are at significant risk of morbidity and mortality. They place an enormous stress on the healthcare system and caregivers, requiring lengthy hospital stays and frequent readmission. Research efforts to improve understanding of the population and improve patient phenotyping, better stratify risk, and personalize care based on […]
Bronchiolitis is a common respiratory condition that primarily affects infants and young children, typically occurring in children under two years old. It is characterized by wheezing, coughing, and difficulty breathing. Long-term effects can include recurrent wheezing or increased risk of asthma. Treatments for bronchiolitis include supportive care, such as hydration and oxygen therapy. These treatments […]