Predicting the outcomes of preterm neonates beyond the neonatal intensive care unit: What are we missing?

Preterm infants are a population at high risk for mortality and adverse health outcomes. With recent improvements in survival to childhood, increasing attention is being paid to risk of long-term morbidity, specifically during childhood and young-adulthood. Although numerous tools for predicting the functional outcomes of preterm neonates have been developed in the past three decades, no studies have provided a comprehensive overview of these tools, along with their strengths and weaknesses. The purpose of this article is to provide an in-depth, narrative review of the current risk models available for predicting the functional outcomes of preterm neonates. A total of 32 studies describing 43 separate models were considered. We found that most studies used similar physiologic variables and standard regression techniques to develop models that primarily predict the risk of poor neurodevelopmental outcomes. With a recently expanded knowledge regarding the many factors that affect neurodevelopment and other important outcomes, as well as a better understanding of the limitations of traditional analytic methods, we argue that there is great room for improvement in creating risk prediction tools for preterm neonates. We also consider the ethical implications of utilizing these tools for clinical decision-making. IMPACT: Based on a literature review of risk prediction models for preterm neonates predicting functional outcomes, future models should aim for more consistent outcomes definitions, standardized assessment schedules and measurement tools, and consideration of risk beyond physiologic antecedents. Our review provides a comprehensive analysis and critique of risk prediction models developed for preterm neonates, specifically predicting functional outcomes instead of mortality, to reveal areas of improvement for future studies aiming to develop risk prediction tools for this population. To our knowledge, this is the first literature review and narrative analysis of risk prediction models for preterm neonates regarding their functional outcomes.

Evaluating the Emergency Department Observation Unit for the management of hyperglycemia in adults.

OBJECTIVE: To determine whether hyperglycemic patients can be successfully managed in the Emergency Department Observation Unit (EDOU), as determined by the frequency of inpatient admission following their EDOU stay. METHODS: This was a retrospective chart review of patients≥18years presenting to an academic tertiary care ED between May 1, 2014 and May 31, 2016, found to have a glucose≥300mg/dL, and selected for EDOU admission. Patient demographic information, lab results including an HbA1c, disposition, and hospital revisits within 30days of discharge were recorded. RESULTS: There were 124 EDOU patients meeting criteria. A total of 98/124 (79.0%) had a history of type 1 or 2 diabetes, and 26/124 (21.0%) were newly diagnosed with diabetes in the EDOU. The mean initial ED serum glucose was 467±126mg/dL. Of the 119 patients with HbA1c analyzed, the mean value was 12.1±2.2% (109±24mmol/mol) and in 112/119 (94.1%) the level was ≥9.0% (75mmol/mol). Overall, 104/124 (83.9%) were discharged from the EDOU, 18/124 (14.5%) were admitted to the inpatient service, and 2/124 (1.6%) left the EDOU against medical advice. A total of 7/124 (5.6%) patients returned to the ED within 30days of discharge with hypoglycemia, hyperglycemia, or diabetic ketoacidosis, 6/7 (85.7%) of whom had been discharged from the EDOU. CONCLUSIONS: Results suggest hyperglycemic patients selected by ED physicians can be managed in the EDOU setting. Nearly all patients managed in the EDOU for hyperglycemia had an HbA1c≥9.0%, suggesting unrecognized or poorly controlled chronic diabetes as the basis for hyperglycemia.