IU Indianapolis ScholarWorks :: Browsing by Author "Pandol, Stephen J."

Browsing by Author "Pandol, Stephen J."

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Association of Chronic Pancreatitis Pain Features With Physical, Mental, and Social Health
(Elsevier, 2023) Yadav, Dhiraj; Askew, Robert L.; Palermo, Tonya; Li, Liang; Andersen, Dana K.; Chen, Minxing; Fisher, William E.; Fogel, Evan L.; Forsmark, Christopher E.; Hart, Phil A.; Othman, Mohamed O.; Pandol, Stephen J.; Park, Walter G.; Topazian, Mark D.; Van Den Eeden, Stephen K.; Swaroop Vege, Santhi; Yang, Yunlong; Serrano, Jose; Conwell, Darwin L.; Consortium for the Study of Chronic Pancreatitis; Diabetes, and Pancreatic Cancer (CPDPC); Medicine, School of Medicine
Background and aims: Pain is a cardinal symptom of chronic pancreatitis (CP). Using Patient-Reported Outcomes Measurement Information System (PROMIS) measures, we characterized physical and mental health and symptom profiles of a well-defined cohort of individuals with CP and compared them with control subjects. Among patients with CP, we also examined associations between pain (intensity, temporal nature) and PROMIS symptom profiles and the prevalence of clinically significant psychological comorbidities. Methods: We analyzed baseline data in 488 CP patients and 254 control subjects enrolled in PROCEED (Prospective Evaluation of Chronic Pancreatitis for Epidemiologic and Translational Studies), an ongoing longitudinal cohort study. Participants completed the PROMIS-Global Health, which captures global physical and mental health, and the PROMIS-29 profile, which captures 7 symptom domains. Self-reported pain was categorized by severity (none, mild-moderate, severe) and temporal nature (none, intermittent, constant). Demographic and clinical data were obtained from the PROCEED database. Results: Pain was significantly associated with impairments in physical and mental health. Compared with participants with no pain, CP participants with severe pain (but not mild-moderate pain) had more decrements in each PROMIS domain in multivariable models (effect sizes, 2.54-7.03) and had a higher prevalence of clinically significant depression, anxiety, sleep disturbance, and physical disability (odds ratios, 2.11-4.74). Similar results were noted for constant pain (but not intermittent pain) for PROMIS domains (effect sizes, 4.08-10.37) and clinically significant depression, anxiety, sleep disturbance and physical disability (odds ratios, 2.80-5.38). Conclusions: Severe and constant pain are major drivers for poor psychological and physical health in CP. Systematic evaluation and management of psychiatric comorbidities and sleep disturbance should be incorporated into routine management of patients with CP.
Characterizing mechanism-based pain phenotypes in patients with chronic pancreatitis: a cross-sectional analysis of the PROspective Evaluation of Chronic Pancreatitis for EpidEmiologic and Translational StuDies
(Wolters Kluwer, 2023) Saloman, Jami L.; Conwell, Darwin L.; Fogel, Evan; Vege, Santhi Swaroop; Li, Liang; Li, Shuang; Andersen, Dana K.; Fisher, William E.; Forsmark, Christopher E.; Hart, Phil A.; Pandol, Stephen J.; Park, Walter G.; Evans Phillips, Anna; Topazian, Mark; Van Den Eeden, Stephen K.; Serrano, Jose; Yadav, Dhiraj; Consortium for the Study of Chronic Pancreatitis, Diabetes and Pancreatic Cancer; Medicine, School of Medicine
Pain is common in chronic pancreatitis (CP) and profoundly reduces quality of life (QoL). Multiple underlying mechanisms contribute to a heterogenous pain experience and reduce efficacy of pain management. This study was designed to characterize the distribution of mechanism-based pain phenotypes in painful CP. The data analyzed were collected as part of the PROspective Evaluation of Chronic Pancreatitis for EpidEmiologic and Translational StuDies, an NCI/NIDDK-funded longitudinal study of the natural history of CP. The PROspective Evaluation of Chronic pancreatitis for EpidEmiologic and translational stuDies includes patient-reported outcome (PRO) measures of pain, medication use, global health, and QoL. Of subjects (N = 681) with CP, 80% experienced abdominal pain within the year before enrollment. Subjects who experienced pain in the week before enrollment (N = 391) completed PROMIS Neuropathic and Nociceptive Pain Quality instruments which were then used to classify them by pain type: 40% had nociceptive, 5% had neuropathic-like, and 32% had both types of pain. The prevalence of having both types of pain was higher among women and subjects with diabetes mellitus, whereas nociceptive-only pain was more prevalent among men and those with pancreatic duct stricture. Other factors, including pain medication use and healthcare utilization, did not differ between groups based on pain type. Subjects in the Both group had significantly worse health and QoL scores relative to those with nociceptive-only pain, suggesting that using psychosocial pain surveys may be useful for understanding pain subtypes in patients with CP. Additional research is needed to identify biochemical and biophysical signatures that may associate with and predict responses to mechanism-specific interventions.
Clinical Trials in Pancreatitis: Opportunities and Challenges in the Design and Conduct of Patient-Focused Clinical Trials in Recurrent Acute and Chronic Pancreatitis: Summary of a National Institute of Diabetes and Digestive and Kidney Diseases Workshop
(Wolters Kluwer, 2022) Hart, Phil A.; Andersen, Dana K.; Lyons, Erica; Cote, Gregory A.; Cruz-Monserrate, Zobeida; Dworkin, Robert H.; Elmunzer, B. Joseph; Fogel, Evan L.; Forsmark, Christopher E.; Gilron, Ian; Golden, Megan; Gozu, Aysegul; McNair, Lindsay; Pandol, Stephen J.; Perito, Emily R.; Evans Phillips, Anna; Rabbitts, Jennifer A.; Whitcomb, David C.; Windsor, John A.; Yadav, Dhiraj; Palermo, Tonya M.; Medicine, School of Medicine
Recurrent acute pancreatitis and chronic pancreatitis represent high morbidity diseases, which are frequently associated with chronic abdominal pain, pancreatic insufficiencies, and reduced quality of life. Currently, there are no therapies to reverse or delay disease progression, and clinical trials are needed to investigate potential interventions that would address this important gap. This conference report provides details regarding information shared during a National Institute of Diabetes and Digestive and Kidney Diseases-sponsored workshop on Clinical Trials in Pancreatitis that sought to clearly delineate the current gaps and opportunities related to the design and conduct of patient-focused trials in recurrent acute pancreatitis and chronic pancreatitis. Key stakeholders including representatives from patient advocacy organizations, physician investigators (including clinical trialists), the US Food and Drug Administration, and the National Institutes of Health convened to discuss challenges and opportunities with particular emphasis on lessons learned from trials in participants with other painful conditions, as well as the value of incorporating the patient perspective throughout all stages of trials.
Design and Rationale for the Use of Magnetic Resonance Imaging Biomarkers to Predict Diabetes After Acute Pancreatitis in the Diabetes RElated to Acute Pancreatitis and Its Mechanisms Study: From the Type 1 Diabetes in Acute Pancreatitis Consortium
(Wolters Kluwer, 2022) Tirkes, Temel; Chinchilli, Vernon M.; Bagci, Ulas; Parker, Jason G.; Zhao, Xuandong; Dasyam, Anil K.; Feranec, Nicholas; Grajo, Joseph R.; Shah, Zarine K.; Poullos, Peter D.; Spilseth, Benjamin; Zaheer, Atif; Xie, Karen L.; Wachsman, Ashley M.; Campbell-Thompson, Martha; Conwell, Darwin L.; Fogel, Evan L.; Forsmark, Christopher E.; Hart, Phil A.; Pandol, Stephen J.; Park, Walter G.; Pratley, Richard E.; Yazici, Cemal; Laughlin, Maren R.; Andersen, Dana K.; Serrano, Jose; Bellin, Melena D.; Yadav, Dhiraj; Type 1 Diabetes in Acute Pancreatitis Consortium (T1DAPC); Radiology and Imaging Sciences, School of Medicine
This core component of the Diabetes RElated to Acute pancreatitis and its Mechanisms (DREAM) study will examine the hypothesis that advanced magnetic resonance imaging (MRI) techniques can reflect underlying pathophysiologic changes and provide imaging biomarkers that predict diabetes mellitus (DM) following acute pancreatitis (AP). A subset of participants in the DREAM study will enroll and undergo serial MRI examinations using a specific research protocol. We aim to differentiate at-risk individuals from those who remain euglycemic by identifying parenchymal features following AP. Performing longitudinal MRI will enable us to observe and understand the natural history of post-AP DM. We will compare MRI parameters obtained by interrogating tissue properties in euglycemic, prediabetic and incident diabetes subjects and correlate them with metabolic, genetic, and immunological phenotypes. Differentiating imaging parameters will be combined to develop a quantitative composite risk score. This composite risk score will potentially have the ability to monitor the risk of DM in clinical practice or trials. We will use artificial intelligence, specifically deep learning, algorithms to optimize the predictive ability of MRI. In addition to the research MRI, the DREAM study will also correlate clinical computerized tomography and MRI scans with DM development.
Diabetes Mellitus and Obesity as Risk Factors for Pancreatic Cancer
(Elsevier, 2018-04) Eibl, Guido; Cruz-Monserrate, Zobeida; Korc, Murray; Petrov, Maxim S.; Goodarzi, Mark O.; Fisher, William E.; Habtezion, Aida; Lugea, Aurelia; Pandol, Stephen J.; Hart, Phil A.; Andersen, Dana K.; Medicine, School of Medicine
Pancreatic ductal adenocarcinoma (PDAC) is among the deadliest types of cancer. The worldwide estimates of its incidence and mortality in the general population are eight cases per 100,000 person-years and seven deaths per 100,000 person-years, and they are significantly higher in the United States than in the rest of the world. The incidence of this disease in the United States is more than 50,000 new cases in 2017. Indeed, total deaths due to PDAC are projected to increase dramatically to become the second leading cause of cancer-related deaths before 2030. Considering the failure to date to efficiently treat existing PDAC, increased effort should be undertaken to prevent this disease. A better understanding of the risk factors leading to PDAC development is of utmost importance to identify and formulate preventive strategies. Large epidemiologic and cohort studies have identified risk factors for the development of PDAC, including obesity and type 2 diabetes mellitus. This review highlights the current knowledge of obesity and type 2 diabetes as risk factors for PDAC development and progression, their interplay and underlying mechanisms, and the relation to diet. Research gaps and opportunities to address this deadly disease are also outlined.
Diagnosis of chronic pancreatitis using semi-quantitative MRI features of the pancreatic parenchyma: results from the multi-institutional MINIMAP study Temel Tirkes1,18, Dhiraj Yadav2
(Springer, 2023) Tirkes, Temel; Yadav, Dhiraj; Conwell, Darwin L.; Territo, Paul R.; Zhao, Xuandong; Persohn, Scott A.; Dasyam, Anil K.; Shah, Zarine K.; Venkatesh, Sudhakar K.; Takahashi, Naoki; Wachsman, Ashley; Li, Liang; Li, Yan; Pandol, Stephen J.; Park, Walter G.; Swaroop Vege, Santhi; Hart, Phil A.; Topazian, Mark; Andersen, Dana K.; Fogel, Evan L.; Consortium for the Study of Chronic Pancreatitis, Diabetes, Pancreatic Cancer (CPDPC); Radiology and Imaging Sciences, School of Medicine
Purpose: To determine the diagnostic performance of parenchymal MRI features differentiating CP from controls. Methods: This prospective study performed abdominal MRI scans at seven institutions, using 1.5 T Siemens and GE scanners, in 50 control and 51 definite CP participants, from February 2019 to May 2021. MRI parameters included the T1-weighted signal intensity ratio of the pancreas (T1 score), arterial-to-venous enhancement ratio (AVR) during venous and delayed phases, pancreas volume, and diameter. We evaluated the diagnostic performance of these parameters individually and two semi-quantitative MRI scores derived using logistic regression: SQ-MRI Model A (T1 score, AVR venous, and tail diameter) and Model B (T1 score, AVR venous, and volume). Results: When compared to controls, CP participants showed a significantly lower mean T1 score (1.11 vs. 1.29), AVR venous (0.86 vs. 1.45), AVR delayed (1.07 vs. 1.57), volume (54.97 vs. 80.00 ml), and diameter of the head (2.05 vs. 2.39 cm), body (2.25 vs. 2.58 cm), and tail (1.98 vs. 2.51 cm) (p < 0.05 for all). AUCs for these individual MR parameters ranged from 0.66 to 0.79, while AUCs for the SQ-MRI scores were 0.82 and 0.81 for Model A (T1 score, AVR venous, and tail diameter) and Model B (T1 score, AVR venous, and volume), respectively. After propensity-matching adjustments for covariates, AUCs for Models A and B of the SQ-MRI scores increased to 0.92 and 0.93, respectively. Conclusion: Semi-quantitative parameters of the pancreatic parenchyma, including T1 score, enhancement ratio, pancreas volume, diameter and multi-parametric models combining these parameters are helpful in diagnosis of CP. Longitudinal analyses including more extensive population are warranted to develop new diagnostic criteria for CP.
Distinct serum immune profiles define the spectrum of acute and chronic pancreatitis from the multi-center PROCEED study
(AGA, 2023-07) Lee, Bomi; Jones, Elaina K.; Manohar, Murli; Li, Liang; Yadav, Dhiraj; Conwell, Darwin L.; Hart, Phil A.; Vege, Santhi Swaroop; Fogel, Evan L.; Serrano, Jose; Anderson, Dana; Bellin, Melena D.; Topazian, Mark D.; Van Den Eeden, Stephen K.; Pandol, Stephen J.; Forsmark, Chris E.; Fisher, William E.; Park, Walter G.; Husain, Sohail Z.; Habtezion, Aida; Medicine, School of Medicine
Background & Aims Pancreatitis is a disease continuum, starting with acute pancreatitis (AP) and progressing in some cases to recurrent acute pancreatitis (RAP) and chronic pancreatitis (CP). Currently, there are no approved therapies or early diagnostic or prognostic biomarkers for pancreatitis. The current study examined whether patient serum immune profiling could identify noninvasive biomarkers and provide mechanistic insight into the disease continuum of pancreatitis. Methods Using Olink immunoassay, we assessed the protein levels of 92 immune markers in serum samples from participants enrolled in the Prospective Evaluation of Chronic Pancreatitis for Epidemiologic and Translational Studies (PROCEED) study of the Chronic Pancreatitis, Diabetes, and Pancreatic Cancer (CPDPC) consortium. Samples (N = 231) were obtained from individuals without pancreatic disease (n = 56) and from those with chronic abdominal pain (CAP) (n = 24), AP (n = 38), RAP (n = 56), and CP (n = 57). Results A total of 33 immune markers differentiated the combined pancreatitis groups from controls. Immune markers related to interleukin (IL) 17 signaling distinguished CP from AP and RAP. Similarly, the serum level of IL17A and C-C motif chemokine ligand 20 differentiated CP from CAP, suggesting the involvement of T helper 17 cells in CP pathogenesis. The receiver operator characteristic curve with 2 immune markers (IL17A and sulfotransferase 1A1) could differentiate CP from CAP (optimistic area under the curve = 0.78). The macrophage classical activation pathway elevated along the continuum of pancreatitis, suggesting an accumulation of proinflammatory signals over disease progression. Several immune markers were associated with smoking, alcohol, and diabetes status. Conclusions Immune profiling of serum samples from a large pancreatitis cohort led to identifying distinct immune markers that could serve as potential biomarkers to differentiate the varying pancreatitis disease states. In addition, the finding of IL17 signaling in CP could provide insight into the immune mechanisms underlying disease progression.
Editorial: Innovations in Imaging for Early Diagnosis and Monitoring for Patients With Gastrointestinal Cancer
(Frontiers Media, 2022-05-27) Pandol, Stephen J.; Tirkes, Temel; Li, Debiao; Radiology and Imaging Sciences, School of Medicine
Integrated Physiology of the Exocrine and Endocrine Compartments in Pancreatic Diseases: Workshop Proceedings
(Wolters Kluwer, 2022) Mastracci, Teresa L.; Apte, Minoti; Amundadottir, Laufey T.; Alvarsson, Alexandra; Artandi, Steven; Bellin, Melena D.; Bernal-Mizrachi, Ernesto; Caicedo, Alejandro; Campbell-Thompson, Martha; Cruz-Monserrate, Zobeida; El Ouaamari, Abdelfattah; Gaulton, Kyle J.; Geisz, Andrea; Goodarzi, Mark O.; Hara, Manami; Hull-Meichle, Rebecca L.; Kleger, Alexander; Klein, Alison P.; Kopp, Janel L.; Kulkarni, Rohit N.; Muzumdar, Mandar D.; Naren, Anjaparavanda P.; Oakes, Scott A.; Olesen, Søren S.; Phelps, Edward A.; Powers, Alvin C.; Stabler, Cherie L.; Tirkes, Temel; Whitcomb, David C.; Yadav, Dhiraj; Yong, Jing; Zaghloul, Norann A.; Sander, Maike; Pandol, Stephen J.; Biology, School of Science
The Integrated Physiology of the Exocrine and Endocrine Compartments in Pancreatic Diseases Workshop was a 1.5-day scientific conference at the National Institutes of Health (Bethesda, MD) that engaged clinical and basic science investigators interested in diseases of the pancreas. This report summarizes the workshop proceedings. The goal of the workshop was to forge connections and identify gaps in knowledge that could guide future research directions. Presentations were segregated into six major themes, including: (a) Pancreas Anatomy and Physiology; (b) Diabetes in the Setting of Exocrine Disease; (c) Metabolic Influences on the Exocrine Pancreas; (d) Genetic Drivers of Pancreatic Diseases; (e) Tools for Integrated Pancreatic Analysis; and (f) Implications of Exocrine-Endocrine Crosstalk. For each theme, there were multiple presentations followed by panel discussions on specific topics relevant to each area of research; these are summarized herein. Significantly, the discussions resulted in the identification of research gaps and opportunities for the field to address. In general, it was concluded that as a pancreas research community, we must more thoughtfully integrate our current knowledge of the normal physiology as well as the disease mechanisms that underlie endocrine and exocrine disorders so that there is a better understanding of the interplay between these compartments.
Magnetic resonance imaging as a non-invasive method for the assessment of pancreatic fibrosis (MINIMAP): a comprehensive study design from the consortium for the study of chronic pancreatitis, diabetes, and pancreatic cancer
(Springer, 2019-05-14) Tirkes, Temel; Yadav, Dhiraj; Conwell, Darwin L.; Territo, Paul R.; Zhao, Xuandong; Venkatesh, Sudhakar K.; Kolipaka, Arunark; Li, Liang; Pisegna, Joseph R.; Pandol, Stephen J.; Park, Walter G.; Topazian, Mark; Serrano, Jose; Fogel, Evan L.; Radiology and Imaging Sciences, School of Medicine
Characteristic features of chronic pancreatitis (CP) may be absent on standard imaging studies. Quantitative Magnetic Resonance Imaging (MRI) techniques such as T1 mapping, extracellular volume (ECV) fraction, diffusion-weighted imaging (DWI) with apparent diffusion coefficient map (ADC), MR elastography (MRE), and T1-weighted signal intensity ratio (SIR) have shown promise for the diagnosis and grading severity of CP. However, radiologists still use the Cambridge classification which is based on traditional ductal imaging alone. There is an urgent need to develop new diagnostic criteria that incorporate both parenchymal and ductal features of CP seen by MRI/MRCP. Designed to fulfill this clinical need, we present the MINIMAP study, which was funded in September 2018 by the National Institutes of Health. This is a comprehensive quantitative MR imaging study which will be performed at multiple institutions in well-phenotyped CP patient cohorts. We hypothesize that quantitative MRI/MRCP features can serve as valuable non-invasive imaging biomarkers to detect and grade CP. We will evaluate the role of T1 relaxometry, ECV, T1-weighted gradient echo SIR, MRE, arteriovenous enhancement ratio, ADC, pancreas volume/atrophy, pancreatic fat fraction, ductal features, and pancreatic exocrine output following secretin stimulation in the assessment of CP. We will attempt to generate a multi-parametric pancreatic tissue fibrosis (PTF) scoring system. We anticipate that a quantitative scoring system may serve as a biomarker of pancreatic fibrosis; hence this imaging technique can be used in clinical practice as well as clinical trials to evaluate the efficacy of agents which may slow the progression or reverse measures of CP.

Browsing by Author "Pandol, Stephen J."

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