Individualized Pain Treatment in Chronic Pancreatitis (INPAIN): an international, multicenter, investigator-initiated, prospective, cohort study
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....
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
January 2025
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| In: |
Pancreas
Year: 2025, Volume: 54, Issue: 1, Pages: e1-e10 |
| ISSN: | 1536-4828 |
| DOI: | 10.1097/MPA.0000000000002388 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1097/MPA.0000000000002388 Verlag, lizenzpflichtig, Volltext: https://journals.lww.com/pancreasjournal/abstract/2025/01000/individualized_pain_treatment_in_chronic.1.aspx |
| Author Notes: | Hagn-Meincke, Rasmus MD, Dugic, Ana MD, Agarwal, Ankit MD, Phillips, Anna Evans MD, MS, Waage, Anna MD, PhD, Yadav, Dhiraj MD, MPH, Pillai, Divya MSC, Vivian, Elaina MPH, CPHQ, de-Madaria, Enrique MD, PhD, Niazi, Imran Khan MSC, Easler, Jeffrey MD, Frøkjær, Jens Brøndum MD, PhD, McNabb-Baltar, Julia MD, MPH, Asferg, Louise Kuhlmann MD, PhD, Faghih, Mahya MD, Montiel, Maria Belen Garay MD, Cook, Mathias MSc, Unnisa, Misbah Pharm D, Tarnasky, Paul MD, Hegyi, Peter MD, PhD, DSc, Garg, Pramod MD, Nedergaard, Rasmus Bach MSC, Edwards, Robert PhD, Talukdar, Rupjyoti MD, Farheen, Shagufta Pharm D, Olesen, Søren Schou MD, PhD, Jagannath, Soumya MD, Schmidt, Suzette BSN, Singh, Vikesh MD, MSc, Hajnády, Zoltán MD, Drewes, Asbjørn Mohr MD, PhD, DsC, DMSc, on behalf of the International Pancreatic Pain Consortium |
| Summary: | 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. |
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| Item Description: | Gesehen am 06.06.2025 |
| Physical Description: | Online Resource |
| ISSN: | 1536-4828 |
| DOI: | 10.1097/MPA.0000000000002388 |