Search

Methods: The review was conducted adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist., Results: 15 studies including 147 patients (adult n = 71/paediatric n = 76) reported on CGM use post-TP (n = 42) and TPIAT (n = 105). 4 were randomized controlled trials and 10 observational studies. 6 studies evaluated CGM use in the peri-operative and 6 in the immediate post-operative period (n = 8) with variable follow-up (14 hours -20 months). CGM was used as a stand-alone device (8 studies) which allowed assessment of dynamic islet function and detection of hypoglycemia (n = 1) resulting in lower glucose levels (n = 1). 6 studies evaluated insulin pump with CGM with reduction in post-operative mean glucose (n = 4), and hypoglycaemic episodes (n = 2). There were no patient reported outcome measures (PROMs) or quality of life (QoL) measures reported., Conclusions: CGM can be used following TP for glucose monitoring and/or linked with insulin pump device in the peri-operative period with improved glycaemic control. However, the data are limited by short follow-up and lack of PROMs and QoL measures., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objectives: Pain is the foremost complication of chronic pancreatitis (CP), affecting about 70% of patients. However, the pathophysiological understanding and management of CP-related pain are complex, likely as patients have diverse "pain phenotypes" responding differently to treatment. This study aims to develop a bedside test panel to identify distinct pain phenotypes, investigate the temporal evolution, and determine whether they can be used to predict treatment response., Methods: The INPAIN study is an international, multicenter, observational, longitudinal cohort study consisted of 4 substudies. The studies will prospectively enroll 400 CP patients (50 without pain and 350 with pain) and 50 control subjects, conducting biannual observations for 4 years. The test panel is consisted of comprehensive subjective and objective assessment parameters. Statistical analysis strategies differ across the substudies. A model to predict treatment efficacy will be developed using various machine learning techniques, including an artificial intelligence approach, with internal cross-validation. Trajectories in pain parameters will be characterized by graphical analysis and mixed effect models., Discussion: The INPAIN study aims to comprehensively understand pain in CP through a test panel developed for routine clinical use. This tool has the potential to personalize treatments, improve clinical practice, enhance patient care, improve quality of life, and minimize treatment side effects., Competing Interests: The authors declare no conflict of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)