Previous studies of administrative databases often misclassified up to 73% of strokes by just using diagnosis codes. This study will develop and validate a computable phenotype that can more accurately identify patients in our multi-institution database using clinical and lab values in addition to diagnosis codes, that can then be used in future studies on this population.
Vasoactive Selection in Pediatric Septic Shock and the Use of Cardiac Point-of-Care Ultrasound: A Retrospective Registry Analysis Across Multicenter Pediatric Emergency Medicine and Pediatric Critical Care
Pediatric septic shock requires rapid recognition of cardiovascular failure and timely treatment to restore adequate tissue perfusion. Vasoactive medications are central to management, yet considerable uncertainty remains regarding the optimal first‑line agent. Although guidelines recommend tailoring vasoactive choice to a…
Childhood Neighborhood Exposures and Pediatric Multiple Sclerosis
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…
Preventing Suicide among Sexual and Gender Diverse Youth
Suicide is the second leading cause of death among young adults in the United States. Sexual and gender diverse young adults (SGDYA) are at particularly high risk. SGDYA includes individuals who are lesbian, gay, bisexual, transgender, queer, or of another…