Aim: To examine the association between the hospitalization time and fall incidence.
Design: A secondary analysis using the Dryad Digital Repository public database.
Methods: Data were extracted from the Fukushima Medical University Hospital cohort study between August 2008 and September 2009. The final analytic sample included 8,598 participants, 156 of who fell. The risk of fall incidents according to hospitalization time was estimated using logistic proportional hazards models, and restricted cubic splines with four knots model were developed.
Results: The median hospitalization time was 9.00 (4.00, 17.00) days. The incidence of falls was 1.81% (N = 156). A U-shaped association between the hospitalization time and fall incidence, with an inflextion point of 8 days. We found a decreasing fall incidence as the hospitalization time increased from 0 to 8 days (OR 0.72 [0.62 ~ 0.83], p < .001); beyond 8 days, the fall incidence increased as the hospitalization time increased (OR 1.06 [1.04 ~ 1.09]).
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http://dx.doi.org/10.1002/nop2.1402 | DOI Listing |
Sleep
January 2025
UR2NF-Neuropsychology and Functional Neuroimaging Research Unit affiliated at CRCN - Centre for Research in Cognition and Neurosciences and UNI - ULB Neuroscience Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Enhancing the retention of recent memory traces through sleep reactivation is possible via Targeted Memory Reactivation (TMR), involving cueing learned material during post-training sleep. Evidence indicates detectable short-term microstructural changes in the brain within an hour after motor sequence learning, and post-training sleep is believed to contribute to the consolidation of these motor memories, potentially leading to enduring microstructural changes. In this study, we explored how TMR during post-training sleep affects performance gains and delayed microstructural remodeling, using both standard Diffusion Tensor Imaging (DTI) and advanced Neurite Orientation Dispersion & Density Imaging (NODDI).
View Article and Find Full Text PDFInt Urol Nephrol
January 2025
Department of Colorectal Surgery, Heliopolis Hospital, São Paulo, SP, Brazil.
Purpose: Locally advanced colorectal tumors frequently invade adjacent organs, particularly the urinary bladder in the sigmoid colon and upper rectum, complicating multivisceral resections. This study compared postoperative outcomes of partial cystectomy (PC) and total cystectomy (TC) in patients with locally advanced colorectal cancer.
Methods: A systematic review was conducted in PubMed, Scopus, Central Register of Clinical Trials, and Web of Science for studies published up to November 2024.
Mol Neurobiol
January 2025
Department of Anesthesiology, Yijishan Hospital, First Affiliated Hospital of Wannan Medical College, Wuhu, 241004, China.
Stroke is the second-leading global cause of death. The damage attributed to the immune storm triggered by ischemia-reperfusion injury (IRI) post-stroke is substantial. However, data on the transcriptomic dynamics of pyroptosis in IRI are limited.
View Article and Find Full Text PDFPharmacoeconomics
January 2025
Belgian Health Care Knowledge Centre, Brussels, Belgium.
Background: Forecasting future public pharmaceutical expenditure is a challenge for healthcare payers, particularly owing to the unpredictability of new market introductions and their economic impact. No best-practice forecasting methods have been established so far. The literature distinguishes between the top-down approach, based on historical trends, and the bottom-up approach, using a combination of historical and horizon scanning data.
View Article and Find Full Text PDFMed Biol Eng Comput
January 2025
Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Performing automatic and standardized 4D TEE segmentation and mitral valve analysis is challenging due to the limitations of echocardiography and the scarcity of manually annotated 4D images. This work proposes a semi-supervised training strategy using pseudo labelling for MV segmentation in 4D TEE; it employs a Teacher-Student framework to ensure reliable pseudo-label generation. 120 4D TEE recordings from 60 candidates for MV repair are used.
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