Individualized Pain Treatment in Chronic Pancreatitis (INPAIN): An International, Multicenter, Investigator-initiated, Prospective, Cohort Study

Rasmus Hagn-Meincke; Ana Dugic; Ankit Agarwal; Anna Evans Phillips; Anna Waage; Dhiraj Yadav; Divya Pillai; Elaina Vivian; Enrique de-Madaria; Imran Khan Niazi; Jeffrey Easler; Jens Brøndum Frøkjær; Julia McNabb-Baltar; Louise Kuhlmann Asferg; Mahya Faghih; Maria Belen Garay Montiel; Mathias Cook; Misbah Unnisa; Paul Tarnasky; Peter Hegyi; Pramod Garg; Rasmus Bach Nedergaard; Robert Edwards; Rupjyoti Talukdar; Shagufta Farheen; Søren Schou Olesen; Soumya Jagannath; Suzette Schmidt; Vikesh Singh; Zoltán Hajnády; Asbjørn Mohr Drewes; International Pancreatic Pain Consortium

doi:10.1097/MPA.0000000000002388

Individualized Pain Treatment in Chronic Pancreatitis (INPAIN): An International, Multicenter, Investigator-initiated, Prospective, Cohort Study

Rasmus Hagn-Meincke, Ana Dugic, Ankit Agarwal, Anna Evans Phillips, Anna Waage, Dhiraj Yadav, Divya Pillai, Elaina Vivian, Enrique de-Madaria, Imran Khan Niazi, Jeffrey Easler, Jens Brøndum Frøkjær, Julia McNabb-Baltar, Louise Kuhlmann Asferg, Mahya Faghih, Maria Belen Garay Montiel, Mathias Cook, Misbah Unnisa, Paul Tarnasky, Peter HegyiPramod Garg, Rasmus Bach Nedergaard, Robert Edwards, Rupjyoti Talukdar, Shagufta Farheen, Søren Schou Olesen, Soumya Jagannath, Suzette Schmidt, Vikesh Singh, Zoltán Hajnády, Asbjørn Mohr Drewes^*, International Pancreatic Pain Consortium

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

INTRODUCTION: Pain is the foremost complication of chronic pancreatitis (CP), affecting about 70% of patients. However, the pathophysiological understanding and management of CP-related pain is 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.

METHOD: The INPAIN study is an international, multi-center, observational, longitudinal cohort study comprised of 4 sub-studies. The studies will prospectively enroll 400 CP patients (50 without pain and 350 with pain) and 50 control subjects, conducting biannual observations for four years. The test panel is comprised of comprehensive subjective and objective assessment parameters. Statistical analysis strategies differ across the sub-studies. 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.

Original language	English
Article number	10.1097/MPA.0000000000002388
Journal	Pancreas
ISSN	0885-3177
DOIs	https://doi.org/10.1097/MPA.0000000000002388
Publication status	E-pub ahead of print - 12 Sept 2024

Bibliographical note

Keywords

Bedside test panel
Chronic Pancreatitis
Pain
Prediction model
Trajectories in pain

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Hagn-Meincke, R., Dugic, A., Agarwal, A., Phillips, A. E., Waage, A., Yadav, D., Pillai, D., Vivian, E., de-Madaria, E., Niazi, I. K., Easler, J., Frøkjær, J. B., McNabb-Baltar, J., Asferg, L. K., Faghih, M., Montiel, M. B. G., Cook, M., Unnisa, M., Tarnasky, P., ... International Pancreatic Pain Consortium (2024). Individualized Pain Treatment in Chronic Pancreatitis (INPAIN): An International, Multicenter, Investigator-initiated, Prospective, Cohort Study. Pancreas, Article 10.1097/MPA.0000000000002388. Advance online publication. https://doi.org/10.1097/MPA.0000000000002388

@article{8e485df7a6d04974b2d063c43b5ae089,

title = "Individualized Pain Treatment in Chronic Pancreatitis (INPAIN): An International, Multicenter, Investigator-initiated, Prospective, Cohort Study",

abstract = "INTRODUCTION: Pain is the foremost complication of chronic pancreatitis (CP), affecting about 70% of patients. However, the pathophysiological understanding and management of CP-related pain is 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.METHOD: The INPAIN study is an international, multi-center, observational, longitudinal cohort study comprised of 4 sub-studies. The studies will prospectively enroll 400 CP patients (50 without pain and 350 with pain) and 50 control subjects, conducting biannual observations for four years. The test panel is comprised of comprehensive subjective and objective assessment parameters. Statistical analysis strategies differ across the sub-studies. 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.",

keywords = "Bedside test panel, Chronic Pancreatitis, Pain, Prediction model, Trajectories in pain",

author = "Rasmus Hagn-Meincke and Ana Dugic and Ankit Agarwal and Phillips, {Anna Evans} and Anna Waage and Dhiraj Yadav and Divya Pillai and Elaina Vivian and Enrique de-Madaria and Niazi, {Imran Khan} and Jeffrey Easler and Fr{\o}kj{\ae}r, {Jens Br{\o}ndum} and Julia McNabb-Baltar and Asferg, {Louise Kuhlmann} and Mahya Faghih and Montiel, {Maria Belen Garay} and Mathias Cook and Misbah Unnisa and Paul Tarnasky and Peter Hegyi and Pramod Garg and Nedergaard, {Rasmus Bach} and Robert Edwards and Rupjyoti Talukdar and Shagufta Farheen and Olesen, {S{\o}ren Schou} and Soumya Jagannath and Suzette Schmidt and Vikesh Singh and Zolt{\'a}n Hajn{\'a}dy and Drewes, {Asbj{\o}rn Mohr} and {International Pancreatic Pain Consortium}",

year = "2024",

month = sep,

day = "12",

doi = "10.1097/MPA.0000000000002388",

language = "English",

journal = "Pancreas",

issn = "0885-3177",

publisher = "Lippincott Williams & Wilkins",

}

Hagn-Meincke, R, Dugic, A, Agarwal, A, Phillips, AE, Waage, A, Yadav, D, Pillai, D, Vivian, E, de-Madaria, E, Niazi, IK, Easler, J, Frøkjær, JB, McNabb-Baltar, J, Asferg, LK, Faghih, M, Montiel, MBG, Cook, M , Unnisa, M, Tarnasky, P, Hegyi, P, Garg, P, Nedergaard, RB, Edwards, R, Talukdar, R, Farheen, S, Olesen, SS, Jagannath, S, Schmidt, S, Singh, V, Hajnády, Z, Drewes, AM & International Pancreatic Pain Consortium 2024, 'Individualized Pain Treatment in Chronic Pancreatitis (INPAIN): An International, Multicenter, Investigator-initiated, Prospective, Cohort Study', Pancreas. https://doi.org/10.1097/MPA.0000000000002388

TY - JOUR

T1 - Individualized Pain Treatment in Chronic Pancreatitis (INPAIN)

T2 - An International, Multicenter, Investigator-initiated, Prospective, Cohort Study

AU - Hagn-Meincke, Rasmus

AU - Dugic, Ana

AU - Agarwal, Ankit

AU - Phillips, Anna Evans

AU - Waage, Anna

AU - Yadav, Dhiraj

AU - Pillai, Divya

AU - Vivian, Elaina

AU - de-Madaria, Enrique

AU - Niazi, Imran Khan

AU - Easler, Jeffrey

AU - Frøkjær, Jens Brøndum

AU - McNabb-Baltar, Julia

AU - Asferg, Louise Kuhlmann

AU - Faghih, Mahya

AU - Montiel, Maria Belen Garay

AU - Cook, Mathias

AU - Unnisa, Misbah

AU - Tarnasky, Paul

AU - Hegyi, Peter

AU - Garg, Pramod

AU - Nedergaard, Rasmus Bach

AU - Edwards, Robert

AU - Talukdar, Rupjyoti

AU - Farheen, Shagufta

AU - Olesen, Søren Schou

AU - Jagannath, Soumya

AU - Schmidt, Suzette

AU - Singh, Vikesh

AU - Hajnády, Zoltán

AU - Drewes, Asbjørn Mohr

AU - International Pancreatic Pain Consortium

PY - 2024/9/12

Y1 - 2024/9/12

N2 - INTRODUCTION: Pain is the foremost complication of chronic pancreatitis (CP), affecting about 70% of patients. However, the pathophysiological understanding and management of CP-related pain is 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.METHOD: The INPAIN study is an international, multi-center, observational, longitudinal cohort study comprised of 4 sub-studies. The studies will prospectively enroll 400 CP patients (50 without pain and 350 with pain) and 50 control subjects, conducting biannual observations for four years. The test panel is comprised of comprehensive subjective and objective assessment parameters. Statistical analysis strategies differ across the sub-studies. 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.

AB - INTRODUCTION: Pain is the foremost complication of chronic pancreatitis (CP), affecting about 70% of patients. However, the pathophysiological understanding and management of CP-related pain is 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.METHOD: The INPAIN study is an international, multi-center, observational, longitudinal cohort study comprised of 4 sub-studies. The studies will prospectively enroll 400 CP patients (50 without pain and 350 with pain) and 50 control subjects, conducting biannual observations for four years. The test panel is comprised of comprehensive subjective and objective assessment parameters. Statistical analysis strategies differ across the sub-studies. 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.

KW - Bedside test panel

KW - Chronic Pancreatitis

KW - Pain

KW - Prediction model

KW - Trajectories in pain

UR - http://www.scopus.com/inward/record.url?scp=85204190431&partnerID=8YFLogxK

U2 - 10.1097/MPA.0000000000002388

DO - 10.1097/MPA.0000000000002388

M3 - Journal article

C2 - 39259852

SN - 0885-3177

JO - Pancreas

JF - Pancreas

M1 - 10.1097/MPA.0000000000002388

ER -

Individualized Pain Treatment in Chronic Pancreatitis (INPAIN): An International, Multicenter, Investigator-initiated, Prospective, Cohort Study

Abstract

Bibliographical note

Keywords

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