Aim: The aim of this study was to probe the rigorousness of the factor structure of the HDSMI and to test the instrument's construct validity.
Design: Cross-sectional study.
Methods: The hemodialysis unit of four hospitals in Taiwan provided data from 628 patients with end-stage renal disease (ESRD), through the period of September to December in 2012. The patients were divided into a calibration sample for CFA and model modification, and a validation sample for cross-validation of the postmodification model. Goodness of fit was tested with standard fit indices.
Results: The four latent variables (i.e. partnership, self-care, problem-solving and emotional management) were verified as dimensions of HDSMI through CFA. The construct validity of the HDSMI was improved by omitting two items, allowing one inter-item correlation and transferring the loading of one item. These modifications improved fit indices of the calibration sample. Cross-validation of the validation sample verified the construct validity of the modified HDSMI-18.
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http://dx.doi.org/10.1002/nop2.867 | DOI Listing |
J Biomed Opt
January 2025
The Johns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland, United States.
Significance: Laparoscopic surgery presents challenges in localizing oncological margins due to poor contrast between healthy and malignant tissues. Optical properties can uniquely identify various tissue types and disease states with high sensitivity and specificity, making it a promising tool for surgical guidance. Although spatial frequency domain imaging (SFDI) effectively measures quantitative optical properties, its deployment in laparoscopy is challenging due to the constrained imaging environment.
View Article and Find Full Text PDFUnlabelled: Proton exchange is a fundamental chemical event, and NMR provides the most direct readout of protonation events with site-specific resolution. Conventional approaches require manual titration of sample pH to collect a series of NMR spectra at different pH values. This requires extensive sample handling and often results in significant sample loss, leading to reduced signal or the need to prepare additional samples.
View Article and Find Full Text PDFRev Cardiovasc Med
January 2025
Department of Cardiology, The Second Affiliated Hospital of Xuzhou Medical University, 221000 Xuzhou, Jiangsu, China.
Background: This study aimed to analyze the metabolic risk factors for microcirculation disorders in patients with unstable angina (UA) after percutaneous coronary intervention (PCI), evaluating their predictive value for developing microcirculation disorders.
Methods: A single-center retrospective study design was used, which included 553 patients with UA who underwent PCI. The angiographic microcirculatory resistance (AMR) index was calculated based on coronary angiography data.
Ultrason Imaging
January 2025
Department of Ultrasound, South China Hospital, Medical School, Shenzhen University, Shenzhen, China.
This study aims to establish and validate an ultrasound radiomics nomogram for preoperative prediction of central lymph node metastasis in papillary thyroid microcarcinoma (PTMC) before operation. A retrospective analysis conducted on ultrasonic images and clinical features derived from 288 PTMC patients, who were divided into training cohorts ( = 201) and validating cohorts ( = 87) in a ratio of 7:3 base on the principle of random allocation. Radiomics features were extracted from the PTMC patients after ultrasonic examination, followed by dimension reduction and characteristic selection to construct the radiomics score (Radscore) using LASSO regression analysis.
View Article and Find Full Text PDFStat Med
February 2025
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
Introduction: Risk prediction models are increasingly used in healthcare to aid in clinical decision-making. In most clinical contexts, model calibration (i.e.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!