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| http://dx.doi.org/10.2147/RMHP.S467193 | DOI Listing |
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Construct validity, responsiveness, and interpretability of the Spinal Cord Injury Functional Ambulation Inventory (SCI-FAI).
J Spinal Cord Med
January 2025
Department of Physical Therapy, Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan.
Objective: We investigated the construct validity, responsiveness, and interpretability of the Spinal Cord Injury Functional Ambulation Inventory (SCI-FAI) to determine its usefulness in measuring the functional level of gait.
Patients And Methods: This was a prospective observational study following the checklist of the Consensus-Based Standards for Selecting Health Measurement Instruments. The SCI-FAI consists of three items: Gait Parameter, Assistive Devices, and Temporal.
Cross-cultural adaptation and validation of the Persian version of the Preparedness Assessment for the Transition Home After Stroke instrument: a methodological study.
Top Stroke Rehabil
January 2025
Department of Medical-Surgical Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: The successful transition of stroke patients from hospital to home relies on the preparedness of caregivers. Assessing this preparedness is crucial, but existing tools need adaptation and validation for Iranian caregivers.
Objectives: This study aimed to translate, culturally adapt, and validate the Persian version of the "Preparedness Assessment for the Transition Home After Stroke" (PATH-s) for use among Iranian caregivers of stroke survivors.
Synchronization stability of epileptic brain network with higher-order interactions.
Chaos
January 2025
Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Generally, epilepsy is considered as abnormally enhanced neuronal excitability and synchronization. So far, previous studies on the synchronization of epileptic brain networks mainly focused on the synchronization strength, but the synchronization stability has not yet been explored as deserved. In this paper, we propose a novel idea to construct a hypergraph brain network (HGBN) based on phase synchronization.
View Article and Find Full Text PDFMultiTax-human: an extensive and high-resolution human-related full-length 16S rRNA reference database and taxonomy.
Microbiol Spectr
January 2025
State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Considering that the human microbiota plays a critical role in health and disease, an accurate and high-resolution taxonomic classification is thus essential for meaningful microbiome analysis. In this study, we developed an automatic system, named MultiTax pipeline, for generating taxonomy from full-length 16S rRNA sequences using the Genome Taxonomy Database and other existing reference databases. We first constructed the MultiTax-human database, a high-resolution resource specifically designed for human microbiome research and clinical applications.
View Article and Find Full Text PDFAutomatic machine learning accurately predicts the efficacy of immunotherapy for patients with inoperable advanced non-small cell lung cancer using a computed tomography-based radiomics model.
Diagn Interv Radiol
January 2025
Huadong Hospital, Fudan University, Department of Thoracic Surgery, Shanghai, China.
Purpose: Patients with advanced non-small cell lung cancer (NSCLC) have varying responses to immunotherapy, but there are no reliable, accepted biomarkers to accurately predict its therapeutic efficacy. The present study aimed to construct individualized models through automatic machine learning (autoML) to predict the efficacy of immunotherapy in patients with inoperable advanced NSCLC.
Methods: A total of 63 eligible participants were included and randomized into training and validation groups.
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