Objective: The purpose of this work was to compare the outcomes, severity of illness, and resource use of patients transferred to PICUs from outside hospitals to patients admitted from within the same hospital.
Methods: We conducted a secondary analysis of patients from the 20 US PICUs in the most recent Pediatric Intensive Care Unit Evaluations Software Recalibration Database on a total of 13,017 emergent PICU admissions between January 2001 and January 2006. Dependent variables were PICU resource use and risk-adjusted mortality. The main independent variable was the PICU admission source: patients transferred from referring emergency departments and inpatient wards versus in-house admissions from the same hospitals' emergency departments and inpatient ward.
Results: Patients admitted from referring emergency departments had higher use of vasoactive infusions (7.31% vs 5.23%) and mechanical ventilation (33.45% vs 23.6%) than same-hospital emergency department admissions. Compared with in-house ward admissions, patients transferred from referring inpatient wards had higher mechanical ventilation rates (45.05% vs 28.56%) and PICU lengths of stay (8.0 vs 6.7 days).
Conclusions: On average, children admitted to a cohort of US PICUs from referring hospitals were more ill and required more intensive care resources than patients admitted to the same PICUs from within the institution. Hospital-level differences in PICU efficiency and severity of illness were highly variable. These data highlight the need for standardized PICU admission criteria to maximize hospital efficiency and suggest opportunities for earlier intervention and consultation by hospitals with PICU-level services to improve quality of care for critically ill children.
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http://dx.doi.org/10.1542/peds.2007-2089 | DOI Listing |
Sci Rep
January 2025
Institute for System Dynamics, University of Stuttgart, Waldburgstr. 19, 70563, Stuttgart, Germany.
Including sensor information in medical interventions aims to support surgeons to decide on subsequent action steps by characterizing tissue intraoperatively. With bladder cancer, an important issue is tumor recurrence because of failure to remove the entire tumor. Impedance measurements can help to classify bladder tissue and give the surgeons an indication on how much tissue to remove.
View Article and Find Full Text PDFBMC Infect Dis
January 2025
Department of Cardiac Surgery, Second Hospital of Hebei Medical University, No.215 of Heping West Road,Xinhua District, Shijiazhuang, 050000, China.
Objective: To evaluate the effects of different SARS-CoV-2 inactivation methods on the blood concentration of colistin sulfate.
Methods: A colistin sulfate reference substance, a quality control plasma sample, and a clinically measured sample were transferred and heated in a 56 °C water batch for 30 min or irradiated under an ultraviolet (UV) lamp for 60 min to examine the stability of the reference solution and quality control plasma sample. Statistical analysis was conducted for the concentration of the clinically measured sample before and after inactivation with the intraclass correlation coefficient (ICC) method, the Passing-Bablok regression, and the Bland-Altman analysis.
J Chem Theory Comput
January 2025
HUN-REN Wigner Research Centre for Physics, P.O. Box 49, H-1525 Budapest, Hungary.
J Phys Chem A
January 2025
Liaoning Key Laboratory of Manufacturing System and Logistics Optimization, Shenyang 110819, China.
Artificial intelligence technology has introduced a new research paradigm into the fields of quantum chemistry and materials science, leading to numerous studies that utilize machine learning methods to predict molecular properties. We contend that an exemplary deep learning model should not only achieve high-precision predictions of molecular properties but also incorporate guidance from physical mechanisms. Here, we propose a framework for predicting molecular properties based on data-driven electron density images, referred to as D3-ImgNet.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
The energy cascade, i.e. the transfer of kinetic energy from large-scale to small-scale flow motions, has been the cornerstone of turbulence theories and models since the 1940s.
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