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- Mortality for PH admissions was 6.8%
compared to 2.3% in those admitted without PH (odds ratio = 3.1; 95% confidence interval = 2.9-3.4)
- In a multivariate model, factors
significantly associated with mortality for children with PH included:
– age < 6 months or > 16 years – invasive mechanical ventilation – co-diagnoses of heart failure, sepsis, hemoptysis, disseminated intravascular coagulation, stroke, and multi-organ dysfunction syndrome. (MODS)
. Balkin EM, et al. Pulm Circ., 2018
Compared to patients admitted to the PICU without PH, those with PH were:
- younger
- had longer length of stay
- higher illness severity scores
- were more likely to receive invasive mechanical ventilation,
cardiopulmonary resuscitation, and extracorporeal membrane oxygenation
- co-diagnoses of sepsis, heart failure, and respiratory failure
Pulm Circ, 2018
NCT02249923: Pediatric Pulmonary Hypertension Network (PPHNet) Informatics Registry
– Provide a mechanism to store information about newborns, infants and children with PH – Determine the incidence and natural history of the various etiologies of pediatric PH – Define our current diagnostic and therapeutic approaches to the diverse conditions associated with pediatric PH – Determine the response of children with PH to chronic therapies
- Aim 2: Research Infrastructure: Create a robust scalable data architecture and combine
traditional registry data, EHR (electronic health Record), and PRO data in a single resource
- Aim 3: Informatics: Address three classes of unanswered questions crucial for the
characterization and management of PH, comparing the information value of registry vs EHR vs fused data across registry/EHR, in the domains of spectrum of PH comorbidities, PH indicators and endpoints of morbidity and mortality, and response to therapies in PH
ClinicalTrials.gov Identifier: NCT02249923
- An EHR-based computable phenotype identified a pediatric PH cohort more
than 3-fold larger than a traditional disease registry.
- Notably, the 2 populations were phenotypically different, demonstrating that
certain patient populations are not captured effectively by the registry.
- Thus, we have demonstrated the utility of cohort ascertainment through EHR
mining for powering future studies of pediatric PH by directly comparing the cohorts using computable phenotypes versus a traditional registry.
J Pediatr 2017