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Objective: To develop a Canadian Rheumatoid Arthritis Core Clinical Dataset (CAN-RACCD) to standardize documentation encouraging high-quality care.
Methods: A set of candidate elements was drafted through meetings with 27 rheumatologists, researchers, and patients, and supplemented with focused literature reviews. A 3-round online-modified Delphi consensus process was held with rheumatologists (n = 26), allied health professionals (n = 7), and patients (n = 4); for the remainder there was no demographic information. Participants rated both the importance and feasibility of documenting candidate elements on a Likert scale of 1-9, contributed to an online moderated discussion, and re-rated the elements for inclusion in the CAN-RACCD. Elements were included in the final set if importance and feasibility ratings had a median score of ≥ 6.5 and there was no disagreement among participants.
Results: Fifty-five individual elements in 10 subgroups were proposed to the Delphi participants: measures of RA disease activity; dates to calculate waiting times, disease duration, and disease-modifying antirheumatic drug start; comorbidities; smoking status; patient-reported pain and fatigue; physical function; laboratory and radiographic investigations; medications; clinical characteristics; and vaccines. All groups were included in the final set, with the exception of vaccination status. Additionally, 3 individual elements from the smoking subgroup were eliminated with a recommendation to record smoking status as never/ever/current, and 2 elements relating to coping and effect of fatigue were eliminated due to low feasibility and importance ratings.
Conclusion: The CAN-RACCD stands as a national recommendation on which data elements should be routinely collected in clinical practice to monitor and support high-quality RA care.
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http://dx.doi.org/10.3899/jrheum.170421 | DOI Listing |
Clin Transplant Res
September 2025
Division of Nephrology, Department of Internal Medicine, Kyung Hee University College of Medicine, Seoul, Korea.
Background: Calcineurin inhibitor (CNI) toxicity is a significant cause of graft dysfunction in kidney transplant recipients, yet distinguishing it from acute rejection (AR) and acute tubular necrosis (ATN) remains challenging. This study investigated the use of urinary mRNA biomarkers as a noninvasive tool for identifying CNI toxicity.
Methods: We retrospectively enrolled 110 kidney transplant recipients and classified them into four groups based on pathological findings: stable graft function (n=35), CNI toxicity (n=25), AR (n=30), and ATN (n=20).
Thyroid
September 2025
Department of Molecular Diagnostics, Department of Endocrinology, The Core Laboratory in Medical Center of Clinical Research, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
is a major cause of congenital hypothyroidism (CH) in Chinese patients, but clinical outcomes for those with biallelic mutations remain unclear. This study aimed to describe the clinical manifestations of CH due to defect. One hundred eighty-one patients with primary CH were recruited initially and were subjected to genetic screening.
View Article and Find Full Text PDFBMB Rep
September 2025
Department of Molecular Biology, Dankook University, Cheonan 31116, Korea.
Anaphase-promoting complex/cyclosome (APC/C) regulates the cell cycle by destruction of target proteins ubiquitination. However, understanding the control of APC/C has remained elusive. We identify APC2, the catalytic core subunit of APC/C, as a binding partner of active regulator of SIRT1 (AROS).
View Article and Find Full Text PDFBioanalysis
September 2025
GSK, Precision Medicine Design Assurance, Stevenage, UK.
The International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use M10 guideline provides a global framework for bioanalytical method validation in studies intended for regulatory submission. While its structure ensures consistency and data reliability, the guideline also acknowledges that not all studies require the same level of validation. This paper examines where full compliance is essential and where scientific judgment allows for leaner, context-driven validation, such as in early-stage development, for additional matrices, metabolites, nonstandard biological matrices or studies intended for internal decision-making.
View Article and Find Full Text PDFJ Magn Reson Imaging
September 2025
Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Background: Automated cardiac MR segmentation enables accurate and reproducible ventricular function assessment in Tetralogy of Fallot (ToF), whereas manual segmentation remains time-consuming and variable.
Purpose: To evaluate the deep learning (DL)-based models for automatic left ventricle (LV), right ventricle (RV), and LV myocardium segmentation in ToF, compared with manual reference standard annotations.
Study Type: Retrospective.