Citations

Context.— Complexity of ordering and transfusing blood is particularly evident in the pediatric population. Simplification, clarification, and standardization of blood orders can decrease complexity and improve patient safety. Objective.— To improve patient safety by optimizing electronic ordering of blood components in pediatrics through a collaborative process improvement initiative. Design.— A multidisciplinary working group, formed as part of a value stream analysis to improve transfusion safety at Children’s Healthcare of Atlanta (Atlanta, Georgia), focused on decreasing variability and providing clarity when ordering, preparing, and transfusing blood using the electronic health record. Through benchmarking with other pediatric institutions and a collaborative design process with multiple local stakeholders, an extensive redesign in the existing orders and order sets occurred. Metrics were collected to determine if a change was an improvement. Results.— Nurse and laboratory informaticists, a pathology informaticist, and a transfusion medicine specialist built the new orders based on the design. The new orders focused on the following changes: standardization, introduction of logic, naming conventions, clarifying definitions, adding calculations, improving transparency of history and laboratory data, removing aliquots, clarifying communication, and implementing additional modules to inform the provider of necessary information about the patient. Metrics included a decrease in the number of orders changed within an hour, decreased calls from the blood bank to the provider to clarify the order, and an absence of overtransfusions and transfusion-related serious safety events for a year following implementation. Conclusions.— This collaborative initiative, using standard process improvement tools, resulted in standardized blood orders improving transfusion safety.

Abstract Neurofilament light chain, a putative measure of neuronal damage, is measurable in blood and CSF and is predictive of cognitive function in individuals with Alzheimer’s disease. There has been limited prior work linking neurofilament light and functional connectivity, and no prior work has investigated neurofilament light associations with functional connectivity in autosomal dominant Alzheimer’s disease. Here, we assessed relationships between blood neurofilament light, cognition, and functional connectivity in a cross-sectional sample of 106 autosomal dominant Alzheimer’s disease mutation carriers and 76 non-carriers. We employed an innovative network-level enrichment analysis approach to assess connectome-wide associations with neurofilament light. Neurofilament light was positively correlated with deterioration of functional connectivity within the default mode network and negatively correlated with connectivity between default mode network and executive control networks, including the cingulo-opercular, salience, and dorsal attention networks. Further, reduced connectivity within the default mode network and between the default mode network and executive control networks was associated with reduced cognitive function. Hierarchical regression analysis revealed that neurofilament levels and functional connectivity within the default mode network and between the default mode network and the dorsal attention network explained significant variance in cognitive composite scores when controlling for age, sex, and education. A mediation analysis demonstrated that functional connectivity within the default mode network and between the default mode network and dorsal attention network partially mediated the relationship between blood neurofilament light levels and cognitive function. Our novel results indicate that blood estimates of neurofilament levels correspond to direct measurements of brain dysfunction, shedding new light on the underlying biological processes of Alzheimer’s disease. Further, we demonstrate how variation within key brain systems can partially mediate the negative effects of heightened total serum neurofilament levels, suggesting potential regions for targeted interventions. Finally, our results lend further evidence that low-cost and minimally invasive blood measurements of neurofilament may be a useful marker of brain functional connectivity and cognitive decline in Alzheimer’s disease.