Citations

Abstract With the increasing volume of biomedical experimental data, standardizing, sharing, and integrating heterogeneous experimental data across domains has become a major challenge. To address this challenge, we have developed an ontology-supported Study-Experiment-Assay (SEA) common data model (CDM), which includes 10 core and 3 auxiliary classes based on object-oriented modeling. SEA CDM uses interoperable ontologies for data standardization and knowledge inference. Building on the SEA CDM, we developed the Ontology-based SEA Network (OSEAN) relational database and knowledge graph, along with a set of ETL (Extract, Transform, Load) and query tools, and further applied them to represent 1,278 immune studies with over two million samples from three resources: VIGET, ImmPort, and CELLxGENE. Using simple, robust queries and analyses, our research identified multiple scientific insights into sex-specific immune responses, such as neutrophil degranulation and TNF binding to physiological receptors, following live attenuated and trivalent inactivated influenza vaccination. The novel SEA CDM system lays a foundation for establishing an integrative biodata ecosystem across biological and biomedical domains.

Background . Despite the potential of palliative care (PC) to enhance the quality of life for patients with advanced dementia, there is limited knowledge of its inpatient utilization patterns. This study investigated inpatient PC consultation utilization patterns and evaluated its impact on hospital length of stay (LOS) and medical costs among older patients diagnosed with Alzheimer’s Disease and Related Dementia who were at a high risk of mortality (ADRD-HRM). Methods . Using the 2016-2019 National Inpatient Sample database, we conducted multivariable logistic regression analyses to identify individual and hospital characteristics influencing PC consultation utilization. We subsequently performed generalized linear models to estimate LOS (using Poisson distribution) and hospital charges (via log-transformation). Results . Our sample encompassed 965,644 hospital discharges (weighted n = 4,828,219) of patients aged 65 years and above with ADRD-HRM. Among them, 14.6% received inpatient PC. There was a notable uptrend in PC consultation utilization from 13.3% in 2016 to 16.3% in 2019 ( p trend<.001). Factors positively influencing and associated with PC utilization included patients that are older, non-Hispanic White, with higher income, receiving care from teaching hospitals, and facilitated with greater bed capacity (all P < .05). Although patients who received PC were more likely to have 3.0% longer LOS ( P < .001), they had 19.2% lower hospital charges ( P < .001). Conclusions . PC substantially reduced hospital expenditures for older patients with ADRD-HRM, but the prevalence remained low at 14.6% in the study period. Future studies should explore the unmet needs of patients with lower sociodemographic status and those in rural hospitals to further increase their PC consultation utilization.