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Introduction: Immunotherapeutic agents against amyloid beta (Aβ) are associated with adverse events, including amyloid-related imaging abnormalities with edema and effusion (ARIA-E). Recently, a magnetic resonance imaging (MRI) rating scale was developed for ARIA-E detection and classification. The aim of this study was to validate the use of this rating scale in a larger patient group with multiple raters.
Methods: MRI scans of 75 patients (29 with known ARIA-E and 46 control subjects) were analyzed by five neuroradiologists with different degrees of expertise, according to the ARIA-E rating scale. For each patient, we included a baseline and a follow-up fluid-attenuated inversion recovery image. Interrater agreement was calculated using intraclass correlation coefficient (ICC).
Results: On average, 4.1% of the ARIA-E cases were missed. We observed a high interrater agreement for scores of sulcal hyperintensity (SH; ICC = .915; 95% CI 85-95) and for the combined scores of the 2 ARIA-E findings, parenchymal hyperintensity (PH) and SH (ICC = .878; 95% CI 79-93). A slightly lower agreement for PH (ICC = .678; 95% CI 51-81) was noted.
Conclusion: The ARIA-E rating scale is a simple tool to evaluate the extent of ARIA-E in patients recruited into Aβ-lowering therapeutic trials. It shows high interrater agreement among raters with different degrees of expertise.
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http://dx.doi.org/10.1111/jon.12422 | DOI Listing |
Pain Manag Nurs
September 2025
Public Health Department, Nursing Science, University of Basel, Basel, Switzerland; Department of Public Health and Primary Care, Academic Centre for Nursing and Midwifery, KU Leuven, Leuven, Belgium. Electronic address:
Purpose: Measuring pain in various settings, such as hospitals or long-term care facilities, is commonly done through the use of numerical pain assessment scales, e.g. the Numeric Rating Scale.
View Article and Find Full Text PDFKorean J Anesthesiol
February 2025
Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Background: The interpectoral and pectoserratus plane (PECs) blocks have been reported to provide favorable postoperative analgesia after mastectomy. However, studies have reported controversial data regarding its effect on the quality of recovery (QoR). We aimed to evaluate the effect of the PECs block in light of baseline psychological factors and pain sensitivity.
View Article and Find Full Text PDFJ Stomatol Oral Maxillofac Surg
September 2025
Senior Consultant (Maxillofacial Head and neck Surgery), Dental and Maxillofacial Unit, Bahrain defence force Royal Medical Services, Bahrain.
This systematic review and meta-analysis aimed to critically evaluate and synthesize the available evidence on the use of platelet-rich plasma (PRP) and platelet-rich fibrin (PRF) in the management of mandibular and non-mandibular maxillofacial fractures. A comprehensive search of electronic databases was conducted up to February 2025 based on predefined inclusion criteria. The risk of bias in randomized controlled trials was assessed using the Cochrane Risk of Bias (ROB) tool, while the Newcastle-Ottawa Scale was applied to observational studies.
View Article and Find Full Text PDFRev Esp Anestesiol Reanim (Engl Ed)
September 2025
Mch Surgical Gastroenterology, All India Institute of Medical Sciences, Patna, India.
Background: It is crucial to assess a patient's quality of recovery after major surgery. This study aims to compare the effect of neuraxial morphine and bilateral erector spinae plane block on quality of recovery in the first 48 postoperative hours in patients undergoing open upper abdominal surgeries.
Methods: This prospective, triple-arm, randomized study was performed to compare the effect of neuraxial morphine (intrathecal morphine, thoracic epidural) and erector spinae plane block on postoperative recovery.
Int J Obstet Anesth
August 2025
Department of Liver Transplant Anaesthesia, Institute of Liver and Biliary Sciences, New Delhi, India.
Background: Epidural analgesia is the gold standard for labor pain relief, yet performing patient education remains challenging due to time constraints, language barriers, and variable health literacy. Traditional educational approaches often fail to ensure adequate patient understanding. Artificial intelligence (AI) interactive avatars offer a novel solution for delivering standardized, empathetic, and accessible patient education.
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