To identify differences in personal characteristics, health outcomes, and hospital utilization as a function of ambulatory status among adults with chronic SCI. Prospective cohort study linked to state administrative billing data. Population-based SCI Registry from the Southeastern United States. 1,051 adults (>18 years old) with chronic (>1-year), traumatic SCI. The self-report assessment (SRA) included demographic, injury and disability characteristics, health status, psychological and behavioral factors, and participation and quality of life (QOL) variables. We linked cases to administrative billing data to assess hospital utilization, including Emergency Department (ED) visits and inpatient (IP) admissions (through the ED and direct IP) in non-federal state hospitals within the year following the SRA. There were 706 ambulatory and 345 non-ambulatory participants. We found significant differences across all sets of factors and significant differences in hospital utilization metrics. Ambulatory adults had fewer ED visits (36% vs 44%), IP admissions through the ED (11% vs 25%) and IP only admissions (9% vs 19%) and spent fewer days in the hospital for both admissions through the ED (0.9 vs 4.6 days) and IP only admissions (0.7 vs 3.1 days). They also reported having fewer past year ED visits (44% vs 62%) and IP admissions (34% vs 52%). We identified differences in personal characteristics, ED visits and IP admissions between ambulatory and non-ambulatory adults with SCI, providing a better understanding of the characteristics of those with SCI. The findings suggest the need for separate analyses based on ambulatory status when assessing long-term health outcomes including hospital utilization.
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http://dx.doi.org/10.1080/10790268.2023.2234726 | DOI Listing |
Biomed Phys Eng Express
January 2025
Children's Hospital of Eastern Switzerland, Claudiusstrasse 6, St.Gallen, 9006, SWITZERLAND.
Mapping the myomagnetic field of a straight and easily accessible muscle after electrical stimulation using triaxial optically pumped magnetometers (OPMs) to assess potential benefits for magnetomyography (MMG). Approach: Six triaxial OPMs were arranged in two rows with three sensors each along the abductor digiti minimi (ADM) muscle. The upper row of sensors was inclined by 45° with respect to the lower row and all sensors were aligned closely to the skin surface without direct contact.
View Article and Find Full Text PDFBiomed Phys Eng Express
January 2025
Shandong Normal University, Jinan, Jinan, Shandong, 250014, CHINA.
In the medical field, endoscopic video analysis is crucial for disease diagnosis and minimally invasive surgery. The Endoscopic Foundation Models (Endo- FM) utilize large-scale self-supervised pre-training on endoscopic video data and leverage video transformer models to capture long-range spatiotemporal dependencies. However, detecting complex lesions such as gastrointestinal metaplasia (GIM) in endoscopic videos remains challenging due to unclear boundaries and indistinct features, and Endo-FM has not demonstrated good performance.
View Article and Find Full Text PDFHum Vaccin Immunother
December 2025
National Influenza Centre, Edificio Rondilla, Hospital Clínico Universitario de Valladolid, Valladolid, Spain.
Influenza accounts for 30% of the total morbidity and mortality in the European Union. However, the specific burden in different European countries is largely unknown, and more research is needed to ascertain the reality of this disease. In this retrospective study, we analyzed the burdens of hospitalization, intensive care unit (ICU) admission and in-hospital mortality in Spain over five seasons (2015-2020) via publicly available Minimum Basic Datasets (MDBS).
View Article and Find Full Text PDFJMIR Form Res
January 2025
Vaccine Study Center, Northern California Division of Research, Kaiser Permanente, Oakland, CA, United States.
Background: Real-world COVID-19 vaccine effectiveness (VE) studies are investigating exposures of increasing complexity accounting for time since vaccination. These studies require methods that adjust for the confounding that arises when morbidities and demographics are associated with vaccination and the risk of outcome events. Methods based on propensity scores (PS) are well-suited to this when the exposure is dichotomous, but present challenges when the exposure is multinomial.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Background: Uncertainty in the diagnosis of lung nodules is a challenge for both patients and physicians. Artificial intelligence (AI) systems are increasingly being integrated into medical imaging to assist diagnostic procedures. However, the accuracy of AI systems in identifying and measuring lung nodules on chest computed tomography (CT) scans remains unclear, which requires further evaluation.
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