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Background And Aim: Suboptimal disease control (SDC) and its contributing factors in IBD according to STRIDE-II criteria is unclear. IBD-PODCAST was a non-interventional, international, multicenter real-world study to assess this.
Methods: Data from the Italian IBD cohort (N=220) are presented here. Participants aged ≥19 with confirmed IBD diagnosis of ≥1 year were consecutively enrolled. A retrospective chart review and cross-sectional assessment by physicians and patients within the past 12 months were performed. SDC or optimal disease control was assessed using adapted STRIDE-II criteria.
Results: At the index date, 53.4 % of 116 CD patients and 49.0 % of 104 UC patients had SDC, mainly attributed to a Short Inflammatory Bowel Disease Questionnaire score <50, failure to achieve endoscopic remission, and the presence of active extra-intestinal manifestations in both diseases. Disease monitoring with imaging and/or endoscopy during the previous year was conducted in ∼50 % of patients, with endoscopy performed in ∼40 %. Potential therapeutic adjustments were reported for half of the patients.
Conclusions: This study highlights SDC in a significant portion of IBD Italian patients. These results emphasize the need for more proactive management strategies in both CD and UC patients.
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http://dx.doi.org/10.1016/j.dld.2024.08.040 | DOI Listing |
J Histotechnol
September 2025
Department of Pathology, Peking University Third Hospital, Beijing, China.
Amyloidosis encompasses a spectrum of rare disorders characterized by extracellular amyloid deposition. Achieving an accurate early diagnosis of systemic amyloidosis necessitates biopsy-specific pathological evaluation. Formalin-fixed, paraffin-embedded liver biopsy specimens were examined using Congo red staining, electron microscopy, immunohistochemistry (IHC), immunofluorescence, and Congo red-assisted laser microdissection with mass spectrometry (LMD/MS).
View Article and Find Full Text PDFJ Intern Med
September 2025
Department of Cellular and Translational Physiology, Institute of Physiology, Ruhr University Bochum, Bochum, Germany.
Background: High-density lipoprotein (HDL) function, rather than its concentration, plays a crucial role in the development of coronary artery disease (CAD). Diminished HDL antioxidant properties, indicated by elevated oxidized HDL (nHDL) and diminished paraoxonase-1 (PON-1) activity, may contribute to vascular dysfunction and inflammation. Data on these associations in CAD patients, including acute coronary syndrome (ACS), remain limited.
View Article and Find Full Text PDFStroke
September 2025
Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China (H.Z., K.H., Q.G.).
Background: Poststroke cognitive impairment (PSCI) affects 30% to 50% of stroke survivors, severely impacting functional outcomes and quality of life. This study uses functional near-infrared spectroscopy (fNIRS) to assess task-evoked brain activation and its potential for stratifying the severity in patients with PSCI.
Method: A cross-sectional study was conducted at Nanchong Central Hospital between June 2023 and April 2024.
Mult Scler
September 2025
Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, VA Medical Center, TN Valley Healthcare System, Nashville, TN, USA.
Background: There is limited knowledge on the post-glymphatic structures such as the parasagittal dural (PSD) space and the arachnoid granulations (AGs) in multiple sclerosis (MS).
Objectives: To evaluate differences in volume and macromolecular content of PSD and AG between people with newly diagnosed MS (pwMS), clinically isolated syndrome (pwCIS), or radiologically isolated syndrome (pwRIS) and healthy controls (HCs) and their associations with clinical and radiological disease measures.
Methods: A total of 69 pwMS, pwCIS, pwRIS, and HCs underwent a 3.
Comput Methods Biomech Biomed Engin
September 2025
Institute of Radio Physics and Electronics, University of Calcutta, Kolkata, India.
Parkinson's disease (PD) is a neurodegenerative condition that impairs motor functions. Accurate and early diagnosis is essential for enhancing well-being and ensuring effective treatment. This study proposes a deep learning-based approach for PD detection using EEG signals.
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