Genetic Phenomena Commons^™

Sustained Improvement In Health-Related Quality Of Life In Transplant-Ineligible Newly Diagnosed Multiple Myeloma Treated With Daratumumab, Lenalidomide, And Dexamethasone: Maia Final Analysis Of Patient-Reported Outcomes, Aurore Perrot, Thierry Facon, Torben Plesner, Saad Z Usmani, Shaji Kumar, Nizar J Bahlis, Cyrille Hulin, Robert Z Orlowski, Hareth Nahi, Peter Mollee, Karthik Ramasamy, Murielle Roussel, Arnaud Jaccard, Michel Delforge, Lionel Karlin, Bertrand Arnulf, Ajai Chari, George Wang, Niodita Gupta-Werner, Shuchita Kaila, Huiling Pei, Kathryn Matt, Katharine S Gries, Robin Carson, Fredrik Borgsten, Katja Weisel

Faculty, Staff and Student Publications

Objectives: This final post hoc analysis evaluated patient-reported outcomes from the Phase 3 MAIA study of daratumumab, lenalidomide, and dexamethasone (D-Rd) versus lenalidomide and dexamethasone (Rd) after median 64.5-month follow-up in transplant-ineligible patients with newly diagnosed multiple myeloma (NDMM), including patient subgroups.

Methods: Key scales from the EORTC QLQ-C30 (global health status [GHS], physical functioning, pain, and fatigue) were assessed. Scores were evaluated every 3 months for 1 year, then every 6 months until disease progression.

Results: The intent-to-treat population (n = 737) included 46.3% frail, 35.4% 70 to < 75 years old, and 43.6% ≥ 75 years old. D-Rd-treated patients showed improvements from baseline that were sustained over 5 years in the intent-to-treat population and across subgroups by age, frailty, and bone lesions. Greater proportions of patients treated with D-Rd versus Rd achieved minimally important changes for improvement at cycle 36 (year ~3) in GHS (odds ratio, 1.84 [95% CI, 1.16-2.91]), physical functioning (1.93 [1.18-3.14]), pain (1.41 [0.90-2.22]), and fatigue (2.00 [1.24-3.23]). Greater proportions of patients with bone lesions improved with D-Rd versus Rd on GHS and physical functioning.

Conclusions: In transplant-ineligible patients with NDMM, D-Rd improved health-related quality of …

T2-Weighted Imaging Of Rectal Cancer Using A 3d Fast Spin Echo Sequence With And Without Deep Learning Reconstruction: A Reader Study, Dan Nguyen, Sarah Palmquist, Ken-Pin Hwang, Jingfei Ma, Usama Salem, Jia Sun, Xinzeng Wang, Jong Bum Son, Randy Ernst, Peng Wei, Harmeet Kaur, Nir Stanietzky

Faculty, Staff and Student Publications

Purpose: To compare image quality and clinical utility of a T2-weighted (T2W) 3-dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional reconstruction for rectal magnetic resonance imaging (MRI).

Methods: The study included 50 patients with rectal cancer who underwent rectal MRI consecutively between July 7, 2020 and January 20, 2021 using a T2W 3D FSE sequence with DLR and conventional reconstruction. Three radiologists reviewed the two sets of images, scoring overall SNR, motion artifacts, and overall image quality on a 3-point scale and indicating clinical preference for DLR or conventional reconstruction based on those three …

Multiparametric Mri Scoring System Of The Pancreas For The Diagnosis Of Chronic Pancreatitis, Temel Tirkes, Dhiraj Yadav, Darwin L Conwell, Xuandong Zhao, Anil K Dasyam, Vivek Gowdra Halappa, Aashish Patel, Zarine K Shah, Jordan Swensson, Naoki Takahashi, Sudhakar Venkatesh, Ashley Wachsman, Liang Li, Kristofer Jennings, Yunlong Yang, Phil A Hart, Stephen J Pandol, Walter G Park, Santhi Swaroop Vege, Mark Topazian, Paul R Territo, Scott A Persohn, Dana K Andersen, Evan L Fogel, Consortium For The Study Of Chronic Pancreatitis, Diabetes, And Pancreatic Cancer (Cpdpc)

Faculty, Staff and Student Publications

Background: Ductal features alone may not offer high diagnostic sensitivity or most accurate disease severity of chronic pancreatitis (CP).

Purpose: Diagnose CP based on multiparametric MRI and MRCP features.

Study type: Prospective.

Population: Between February 2019 and May 2021, 46 control (23 males, 49.3 ± 14.1 years), 45 suspected (20 males, 48.7 ± 12.5 years), and 46 definite (20 males, 53.7 ± 14.6 years) CP patients were enrolled at seven hospitals enrolled in the MINIMAP study. CP classification was based on imaging findings and clinical presentation.

Field strength and sequences: 1.5 T. T1-weighted (T1W) spoiled gradient echo, T1 map with …

Quantitative Ablation Confirmation Methods In Percutaneous Thermal Ablation Of Malignant Liver Tumors: Technical Insights, Clinical Evidence, And Future Outlook, Iwan Paolucci, Jessica Albuquerque Marques Silva, Yuan-Mao Lin, Alexander Shieh, Anna Maria Ierardi, Gianpaolo Caraffiello, Carlo Gazzera, Kyle A Jones, Paolo Fonio, Reto Bale, Kristy K Brock, Marco Calandri, Bruno C Odisio

Faculty, Staff and Student Publications

Percutaneous image-guided thermal ablation is an established local curative-intent treatment technique for the treatment of primary and secondary malignant liver tumors. Whereas margin assessment after surgical resection can be accomplished with microscopic examination of the resected specimen, margin assessment after percutaneous thermal ablation relies on cross-sectional imaging. The critical measure of technical success is the minimal ablative margin (MAM), defined as the minimum distance between the tumor and the edge of the ablation zone. Traditionally, the MAM has been assessed qualitatively using anatomic landmarks, which has suboptimal accuracy and reproducibility and is prone to operator bias. Consequently, specialized software-based methods …

Imaging In Pelvic Exenteration-A Multidisciplinary Practice Guide From The Esgar-Sar-Esur-Pelvex Collaborative Group, Stephanie Nougaret, Doenja M J Lambregts, Geerard L Beets, Regina G H Beets-Tan, Lennart Blomqvist, David Burling, Quentin Denost, Maria A Gambacorta, Benedetta Gui, Ann Klopp, Yulia Lakhman, Kate E Maturen, Riccardo Manfredi, Iva Petkovska, Luca Russo, Atul B Shinagare, James A Stephenson, Damian Tolan, Aradhana M Venkatesan, Aaron J Quyn, Rosemarie Forstner

Faculty, Staff and Student Publications

Pelvic exenteration (PE) is a radical surgical approach designed for the curative treatment of advanced pelvic malignancies, requiring en-bloc resection of multiple pelvic organs. While the procedure is radical, it has shown promise in enhancing long-term survival and is now comparable in surgical mortality to elective resections for primary pelvic cancers. Imaging plays a crucial role in preoperative planning, with MRI, CT, and PET/CT being pivotal in assessing the extent of cancer and formulating a surgical roadmap. This paper presents clinical practice guidelines for imaging in the context of PE, developed jointly by ESGAR, SAR, ESUR, and the PelvEx Collaborative. …

In Vivo Assessment Of Cardiac Radiofrequency Ablation In A Large-Animal Model Using Photoacoustic-Ultrasound Imaging, Nilesh Mathuria, Krithik Vishwanath, Blake C Fallon, Antonio Martino, Giorgio Brero, Richard C Willson, Miguel Valderrabano, Carly S Filgueira, Richard R Bouchard

Faculty, Staff and Student Publications

Despite advancements in catheter technology, intraoperative assessment of radiofrequency ablation (RFA) lesions remains elusive. Prior ex vivo data suggest photoacoustic imaging (PAI) can provide RFA lesion characteristics, but in vivo data are lacking. PAI involves delivering near-infrared light to tissue, leading to transient acoustic waves that can be detected by clinically available ultrasound transducers, providing optically based tissue characterization at depth. Three epicardial RFA lesions were delivered in an open-chest porcine model. In vivo PAI-based measurements of RFA lesion dimensions matched (< 0.7-mm error) gross pathologic assessment, yielding in vivo feasibility data of PAI to provide intraoperative RFA lesion dimensions.

Quantifying Photon Counting Detector (Pcd) Performance Using Pcd-Ct Images, Linying Zhan, Guang-Hong Chen, Ke Li

Faculty, Staff and Student Publications

Background: Photon counting detector CTs (PCD-CTs) have recently been introduced to clinical imaging. This development creates a new need for end-users to quantify and monitor the physical performance of PCDs. Traditionally, the characterization of PCD performance relied on detector counts, which are typically accessible to the manufacturer but are not usually available to clinical end-users.

Purpose: The goal of this work was to develop a new method for quantifying PCD performance using reconstructed PCD-CT images, without requiring access to the PCD counts.

Methods: The proposed method is based on a set of closed-form relationships that connect PCD-CT image noise, the …

Temporal Trends Of Subsequent Central Nervous System Malignancies Among Survivors Of Childhood Cancer, Robert T Galvin, Yan Chen, Yan Yuan, Tabitha Cooney, Rebecca Howell, Susan Smith, Michael A Arnold, Miriam Conces, Wendy Leisenring, Gregory T Armstrong, Joseph P Neglia, Lucie M Turcotte

Faculty, Staff and Student Publications

Background: It is not known whether temporal changes in childhood cancer therapy have reduced risk of subsequent malignant neoplasms of the central nervous system (CNS), a frequently fatal late effect of cancer therapy.

Methods: Five-year survivors of primary childhood cancers diagnosed between 1970 and 1999 in the Childhood Cancer Survivor Study with CNS subsequent malignant neoplasms were identified. Cumulative incidence rates and standardized incidence ratios were compared among survivors diagnosed between 1970-1979 (n = 6223), 1980-1989 (n = 9680), and 1990-1999 (n = 8999). Multivariable models assessed risk factors for CNS subsequent malignant neoplasms.

Results: A total of 157 CNS …

Lefitolimod In Combination With Ipilimumab In Patients With Advanced Solid Tumors: A Phase I Trial, Mirella Nardo, Mohamed A Gouda, Matthew J Reilley, Amadeo B Biter, Joann Lim, Stacie A Bean, Ly M Nguyen, Priya R Bhosale, Casey R Ager, Coline A Couillault, Sarina A Piha-Paul, Siqing Fu, Apostolia M Tsimberidou, Timothy A Yap, Aung Naing, Jordi Rodon, Vivek Subbiah, Daniel D Karp, Michael A Curran, David S Hong

Faculty, Staff and Student Publications

Introduction: TLR9 agonists are immunomodulators that have been of interest for combined use with cancer immunotherapy. TLR9 agonists, such as lefitolimod (MGN1703), significantly increased Th1 response in preclinical models and have demonstrated efficacy in early clinical trials. This trial assessed the safety and preliminary efficacy of the combination of lefitolimod and ipilimumab in patients with advanced solid tumors.

Methods: This was a single-center, open-label, investigator-initiated phase I trial conducted at The University of Texas MD Anderson Cancer Center. Patients received leftolimod either subcutaneously (at escalating doses of 15-120 mg) or intratumorally (at the maximum feasible dose) in combination with ipilimumab …

Tumoral And Circulating Genomic Landscape Inform Survival Differences In Colorectal Carcinomatosis, Michael G White, Reed I Ayabe, Mohammad A Zeineddine, Fadl A Zeineddine, Abdelrahman M G Yousef, Mahmoud Yousef, Norman J Galbraith, J Bryan Iorgulescu, Christopher Scally, Keith Fournier, Timothy E Newhook, Nancy Y You, Jason Willis, Scott Kopetz, George J Chang, John Paul Shen, Abhineet Uppal

Faculty, Staff and Student Publications

Colorectal peritoneal metastases (CPM) are the third most common site of metastatic spread of colorectal cancer and are associated with worse survival than other sites of metastatic disease. In recent years tumoral circulating tumoral DNA (ctDNA) mutational status has been increasingly utilized in clinical decision making for metastatic colorectal cancer patients despite its utility in CPM being poorly understood. Here we describe standard of care performed mutational profiles and associated outcomes for unresectable CPM patients, with a contextual comparison to 160 unresected colorectal liver metastases (CLM) patients. Of 508 patients, 288 (57 %) had CPM alone and 220 (43 %) …

Unveiling The Intercompartmental Signaling Axis: Mitochondrial To Er Stress Response (Mersr) And Its Impact On Proteostasis, Jeson J Li, Nan Xin, Chunxia Yang, Bo G Kim, Larissa A Tavizon, Ruth Hong, Jina Park, Travis I Moore, Rebecca George Tharyan, Adam Antebi, Hyun-Eui Kim

Faculty, Staff and Student Publications

Maintaining protein homeostasis is essential for cellular health. Our previous research uncovered a cross-compartmental Mitochondrial to Cytosolic Stress Response, activated by the perturbation of mitochondrial proteostasis, which ultimately results in the improvement of proteostasis in the cytosol. Here, we found that this signaling axis also influences the unfolded protein response of the endoplasmic reticulum (UPRER), suggesting the presence of a Mitochondria to ER Stress Response (MERSR). During MERSR, the IRE1 branch of UPRER is inhibited, introducing a previously unknown regulatory component of MCSR. Moreover, proteostasis is enhanced through the upregulation of the PERK-eIF2α signaling pathway, increasing phosphorylation of eIF2α and …

Using A Surgical Risk Predictor To Estimate Percutaneous Cryoablation Adverse Event Risk: A Single Center Comparative Analysis, Prisha Patel, Koustav Pal, Hadi Ahmed, Bill Tang, Iwan Paolucci, Mohammad Khavandi, Peiman Habibollahi, Ketan Shah, Steven Y Huang, Bruno C Odisio, Sanjay Gupta, Kamran Ahrar, Steven Yevich, Joshua D Kuban, Alda Tam, Rahul A Sheth

Faculty, Staff and Student Publications

Objective: To evaluate the relevance of established surgical risk calculators for predicting complications in patients undergoing percutaneous lung cryoablation (PLC).

Methods: The institution's database was queried for PLC procedures from March 2015 to May 2024, excluding those patients with concomitant local therapies or five or more lesions treated in a single setting. Demographics, frailty metrics as defined by the surgical literature, and procedural variables were collected. To evaluate the suitability of surgical risk estimate calculators, the requisite demographic data were input into the American College of Surgery surgical risk calculator; estimates for length of stay (LOS), serious complications, 30-day readmission, …

Natural History Models For Lung Cancer: A Scoping Review, Renu Sara Nargund, Sayaka Ishizawa, Maryam Eghbalizarch, Paul Yeh, Seyyed Mostafa Mousavi Janbeh Saray, Sara Nofal, Yimin Geng, Pianpian Cao, Edwin J Ostrin, Rafael Meza, Martin C Tammemägi, Robert J Volk, Maria A Lopez-Olivo, Iakovos Toumazis

Faculty, Staff and Student Publications

Introduction: Natural history models (NHMs) of lung cancer (LC) simulate the disease's natural progression providing a baseline for assessing the impact of interventions. NHMs have been increasingly used to inform public health policies, highlighting their utility. The objective of this scoping review was to summarize existing LC NHMs, identify their limitations, and propose a framework for future NHM development.

Methods: We searched MEDLINE, Embase, Web of Science, and IEEE Xplore from their inception to October 5, 2023, for peer-reviewed, full-length articles with an LC NHM. Model characteristics, their applications, data sources used, and limitations were extracted and narratively synthesized.

Results: …

Dose Prediction Via Deep Learning To Enhance Treatment Planning Of Lung Radiotherapy Including Simultaneous Integrated Boost Techniques, Wenhua Cao, Mary Gronberg, Stephen Bilton, Hana Baroudi, Skylar Gay, Christopher Peeler, Zhongxing Liao, Thomas J Whitaker, Karen Hoffman, Laurence E Court

Faculty, Staff and Student Publications

Background: Recent studies have shown deep learning techniques are able to predict three-dimensional (3D) dose distributions of radiotherapy treatment plans. However, their use in dose prediction for treatments with varied prescription doses including simultaneous integrated boost (SIB), that is, using multiple prescription doses within the same plan, and benefit in improving plan quality should be validated.

Purpose: To investigate the feasibility and potential benefit of using deep learning to predict dose distribution of volumetric modulated arc therapy (VMAT) including SIB techniques and improve treatment planning for patients with lung cancer.

Methods: The dose prediction model was trained with 93 retrospective …

Establishing A Peritoneal Dialysis Technique Survival Core Outcome Measure: A Standardised Outcomes In Nephrology-Peritoneal Dialysis Consensus Workshop Report, Emma H Elphick, Karine E Manera, Andrea K Viecelli, Jonathan C Craig, Yeoungjee Cho, Angela Ju, Jenny I Shen, Martin Wilkie, Samaya Anumudu, Neil Boudville, Josephine Sf Chow, Simon J Davies, Patricia Gooden, Tess Harris, Arsh K Jain, Adrian Liew, Andrea Matus-Gonzalez, Noa Amir, Annie-Claire Nadeau-Fredette, Thu Nguyen, Angela Yee-Moon Wang, Daniela Ponce, Rob Quinn, Alison Jaure, David W Johnson, Mark Lambie, Peritoneal Dialysis International

Faculty, Staff and Students Publications

Background

Methods

Results

Multi-Epitope Immunocapture Of Huntingtin Reveals Striatum-Selective Molecular Signatures, Joshua L Justice, Todd M Greco, Josiah E Hutton, Tavis J Reed, Megan L Mair, Juan Botas, Ileana M Cristea

Faculty, Staff and Students Publications

Huntington's disease (HD) is a debilitating neurodegenerative disorder affecting an individual's cognitive and motor abilities. HD is caused by a mutation in the huntingtin gene producing a toxic polyglutamine-expanded protein (mHTT) and leading to degeneration in the striatum and cortex. Yet, the molecular signatures that underlie tissue-specific vulnerabilities remain unclear. Here, we investigate this aspect by leveraging multi-epitope protein interaction assays, subcellular fractionation, thermal proteome profiling, and genetic modifier assays. The use of human cell, mouse, and fly models afforded capture of distinct subcellular pools of epitope-enriched and tissue-dependent interactions linked to dysregulated cellular pathways and disease relevance. We established …

Psychiatric Genetics In The Diverse Landscape Of Latin American Populations, Estela M Bruxel, Diego L Rovaris, Sintia I Belangero, Gabriela Chavarría-Soley, Alfredo B Cuellar-Barboza, José J Martínez-Magaña, Sheila T Nagamatsu, Caroline M Nievergelt, Diana L Núñez-Ríos, Vanessa K Ota, Roseann E Peterson, Laura G Sloofman, Amy M Adams, Elinette Albino, Angel T Alvarado, Diego Andrade-Brito, Paola Y Arguello-Pascualli, Cibele E Bandeira, Claiton H D Bau, Cynthia M Bulik, Joseph D Buxbaum, Carolina Cappi, Nadia S Corral-Frias, Alejo Corrales, Fabiana Corsi-Zuelli, James J Crowley, Renata B Cupertino, Bruna S Da Silva, Suzannah S De Almeida, Juan F De La Hoz, Diego A Forero, Gabriel R Fries, Joel Gelernter, Yeimy González-Giraldo, Eugenio H Grevet, Dorothy E Grice, Adriana Hernández-Garayua, John M Hettema, Agustín Ibáñez, Iuliana Ionita-Laza, Maria Claudia Lattig, Yago C Lima, Yi-Sian Lin, Sandra López-León, Camila M Loureiro, Verónica Martínez-Cerdeño, Gabriela A Martínez-Levy, Kyle Melin, Daniel Moreno-De-Luca, Carolina Muniz Carvalho, Ana Maria Olivares, Victor F Oliveira, Rafaella Ormond, Abraham A Palmer, Alana C Panzenhagen, Maria Rita Passos-Bueno, Qian Peng, Eduardo Pérez-Palma, Miguel L Prieto, Panos Roussos, Sandra Sanchez-Roige, Hernando Santamaría-García, Flávio M Shansis, Rachel R Sharp, Eric A Storch, Maria Eduarda A Tavares, Grace E Tietz, Bianca A Torres-Hernández, Luciana Tovo-Rodrigues, Pilar Trelles, Eva M Trujillo-Chivacuan, Maria M Velásquez, Fernando Vera-Urbina, Georgios Voloudakis, Talia Wegman-Ostrosky, Jenny Zhen-Duan, Hang Zhou, Latin American Genomics Consortium, Marcos L Santoro, Humberto Nicolini, Elizabeth G Atkinson, Paola Giusti-Rodríguez, Janitza L Montalvo-Ortiz

Faculty, Staff and Students Publications

Psychiatric disorders are highly heritable and polygenic, influenced by environmental factors and often comorbid. Large-scale genome-wide association studies (GWASs) through consortium efforts have identified genetic risk loci and revealed the underlying biology of psychiatric disorders and traits. However, over 85% of psychiatric GWAS participants are of European ancestry, limiting the applicability of these findings to non-European populations. Latin America and the Caribbean, regions marked by diverse genetic admixture, distinct environments and healthcare disparities, remain critically understudied in psychiatric genomics. This threatens access to precision psychiatry, where diversity is crucial for innovation and equity. This Review evaluates the current state and …

Computational And Functional Prioritization Identifies Genes That Rescue Behavior And Reduce Tau Protein In Fly And Human Cell Models Of Alzheimer Disease, Morgan C Stephens, Jiayang Li, Megan Mair, Justin Moore, Katy Zhu, Akash Tarkunde, Bismark Amoh, Alma M Perez, Arya Bhakare, Fangfei Guo, Joshua M Shulman, Ismael Al-Ramahi, Juan Botas

Faculty, Staff and Students Publications

Genome-wide association studies (GWASs) in Alzheimer disease (AD) have uncovered over 70 loci significantly associated with AD risk, but identifying the true causal gene(s) at these loci requires systematic functional validation that is rarely performed due to limitations of time and cost. Here, we integrate transcriptome-wide association study (TWAS) with colocalization analysis, fine-mapping, and additional annotation of AD GWAS variants to identify 123 genes at known and suggestive AD risk loci. A comparison with human AD brain transcriptome data confirmed that many of these candidate genes are dysregulated in human AD and correlate with neuropathology. We then tested all available …

Bi-Allelic Uggt1 Variants Cause A Congenital Disorder Of Glycosylation, Zain Dardas, Laura Harrold, Daniel G Calame, Claire G Salter, Takashi Kikuma, Kevin P Guay, Bobby G Ng, Kanae Sano, Ahmad K Saad, Haowei Du, Riccardo Sangermano, Sohil G Patankar, Shalini N Jhangiani, Semra Gürsoy, Mohamed S Abdel-Hamid, Mahmoud K H Ahmed, Reza Maroofian, Rauan Kaiyrzhanov, Kamran Salayev, Wendy D Jones, Ana Pérez Caballero, Lucy Mcgavin, Michael Spiller, Miranda Durkie, Nick Wood, Lauren O'Grady, Paula Goldenberg, Ann M Neumeyer, Amber Begtrup, Sherif F Abdel-Ghafar, Maha S Zaki, Hilde Van Esch, Jennifer E Posey, Olivia K Wenger, Ethan M Scott, Kinga M Bujakowska, Richard A Gibbs, Davut Pehlivan, Dana Marafi, Joseph S Leslie, Nishanka Ubeyratna, Jacob Day, Martina Owens, Jessica Settle, Soher Balkhy, Abdullah Tamim, Lama Alabdi, Fowzan S Alkuraya, Yoichi Takeda, Hudson H Freeze, Daniel N Hebert, James R Lupski, Andrew H Crosby, Emma L Baple

Faculty, Staff and Students Publications

Congenital disorders of glycosylation (CDGs) comprise a large heterogeneous group of metabolic conditions caused by defects in glycoprotein and glycolipid glycan assembly and remodeling, a fundamental molecular process with wide-ranging biological roles. Herein, we describe bi-allelic UGGT1 variants in fifteen individuals from ten unrelated families of various ethnic backgrounds as a cause of a distinctive CDG of variable severity. The cardinal clinical features of UGGT1-CDG involve developmental delay, intellectual disability, seizures, characteristic facial features, and microcephaly in the majority (9/11 affected individuals for whom measurements were available). The more severely affected individuals display congenital heart malformations, variable skeletal abnormalities including …

Prevalence And Patterns Of Opioid Use In Chronic Pancreatitis, Anna Evans Phillips, Darwin L Conwell, Shuang Li, Jami L Saloman, Phil A Hart, Evan L Fogel, Santhi Swaroop Vege, Dana K Andersen, William E Fisher, Christopher E Forsmark, Stephen Pandol, Walter G Park, Mark D Topazian, Stephen K Van Den Eeden, Jose Serrano, Liang Li, Dhiraj Yadav

Faculty, Staff and Student Publications

Introduction: Opioids are used to treat pain in chronic pancreatitis (CP), but little is known about current use patterns. The aim of this study was to characterize the utilization of opioids and associations with clinical characteristics in adult patients with CP.

Methods: This cross-sectional analysis used baseline data from participants with definite CP enrolled in a cohort study in the United States (PROspective Evaluation of CP for EpidEmiologic and Translational StuDies). Data on demographics, pain medication use, healthcare utilization, disability, and pain patterns were systematically collected in case report forms while quality of life was assessed with patient-reported outcome instruments. …