ABSTRACT
Prior to ~1 million years ago (Ma), variations in global ice volume were dominated by changes in obliquity; however, the role of precession remains unresolved. Using a record of North Atlantic ice rafting spanning the past 1.7 million years, we find that the onset of ice rafting within a given glacial cycle (reflecting ice sheet expansion) consistently occurred during times of decreasing obliquity whereas mass ice wasting (ablation) events were consistently tied to minima in precession. Furthermore, our results suggest that the ubiquitous association between precession-driven mass wasting events and glacial termination is a distinct feature of the mid to late Pleistocene. Before then (increasing), obliquity alone was sufficient to end a glacial cycle, before losing its dominant grip on deglaciation with the southward extension of Northern Hemisphere ice sheets since ~1 Ma.
ABSTRACT
BACKGROUND: Healthcare systems and public health agencies use different methods to measure the impact of substance use (SU) on population health. We studied the ability of systems to accurately capture data on drug use-associated infective endocarditis (DUA-IE). METHODS: We conducted a retrospective analysis of patients with IE discharge diagnosis from an academic medical center, 2011-2017, comparing data from hospital Electronic Health Record (EHR) to State Uniform Hospital Discharge Data Set (UHDDS). To identify SU we developed a composite measure. RESULTS: EHR identified 472 IE discharges (430 of these were captured in UHDDS); 406 (86.0%) were correctly coded based on chart review. IE discharges increased from 57 to 92 (62%) from 2012 to 2017. Hospitalizations for the subset of DUA-IE identified by any measure of SU increased from 10 to 54 (440%). Discharge diagnosis coding identified 128 (60.7%) of total DUA-IE hospitalizations. The composite measure identified an additional 65 (30.8%) DUA-IE hospitalizations and chart review an additional 18 (8.5%). CONCLUSIONS: The failure of discharge diagnosis coding to identify DUA-IE in 40% of hospitalizations demonstrates the need for better systems to capture the impact of SU. Collaborative data sharing could help improve surveillance responsiveness to address an emerging public health crises.
