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Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach.
JMIR Form Res
January 2025
Department of Computer Science, University of California, Irvine, Irvine, CA, United States.
Background: Acute pain management is critical in postoperative care, especially in vulnerable patient populations that may be unable to self-report pain levels effectively. Current methods of pain assessment often rely on subjective patient reports or behavioral pain observation tools, which can lead to inconsistencies in pain management. Multimodal pain assessment, integrating physiological and behavioral data, presents an opportunity to create more objective and accurate pain measurement systems.
View Article and Find Full Text PDFUnlabelled: TKA is routinely done orthopaedic procedure done that aims at improving the quality of patients' life by providing pain relief, functional improvement and deformity correction. This study aims to study the efficacy and safety of a Periarticular analgesic cocktail including ropivacaine injection and epidural ropivacaine for early rehabilitation after a total knee replacement.
Methods: Total of 100 patients divided into two groups, one group received epidural ropivacaine and second group given periarticular cocktail containing ropivacaine.
SLICE-CEA CardioLink-8: A Randomized Trial of Evolocumab on Carotid Artery Atherosclerotic Plaque Characteristics in Asymptomatic High-Risk Carotid Stenosis.
Circulation
January 2025
Divisions of Cardiac Surgery (H.T., A.Q., R.E., R.V., M.M., J.H.C., S.V.), Li Ka Shing Knowledge Institute, St. Michael's Hospital of Unity Health Toronto, Ontario, Canada.
An Algorithmic Overview of Advanced Pain Therapies: A Narrative Review.
Curr Pain Headache Rep
January 2025
Department of Pain Medicine, Division of Anesthesiology, Critical Care & Pain Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Purpose Of Review: Quickly referenceable, streamlined, algorithmic approaches for advanced pain management are lacking for patients, trainees, non-pain specialists, and interventional specialists. This manuscript aims to address this gap by proposing a comprehensive, evidence-based algorithm for managing neuropathic, nociceptive, and cancer-associated pain. Such an algorithm is crucial for pain medicine education, offering a structured approach for patient care refractory to conservative management.
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