The Adaptive, Pain Sensitive, and Global Symptoms Clusters: Evidence from a Patient-Based Study.
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2023-04
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The largest epidemiologic study conducted about painful temporomandibular disorders (pTMDs) to date identified 3 clusters of individuals with similar symptoms-adaptive, pain sensitive, and global symptoms-which hold promise as a means of personalizing pain care. Our goal was to compare the clinical and psychological characteristics that are consistent with a pTMD clinical examination among patients who are seeking care and assigned to the different clusters.Methods
This cross-sectional study used data from the medical records of patients attending Duke Innovative Pain Therapies between August 2017 and April 2021 who received a pTMD diagnosis (i.e., myalgia) and consented to have their data used for research. Data included orofacial and pain-related measures, dental features, and psychological measures. We used the Rapid OPPERA Algorithm to assign clusters to patients and multinomial regression to determine the likelihood (odds ratios [OR] and 95% confidence intervals [CI]) of being assigned to the pain sensitive or global symptoms cluster attributed to each measure.Results
In total, 131 patients were included in this study and assigned a cluster: adaptive (n = 54, 41.2%), pain sensitive (n = 49, 37.4%), and global symptoms (n = 28, 21.4%). The PS cluster displayed greater numbers of temporomandibular joint sites (OR, 1.29; 95% CI, 1.01 to 1.65) and masticatory (1.48; 1.19 to 1.83) and cervical (1.23; 1.09 to 1.39) muscles with pain evoked by palpation. The GS cluster displayed greater scores of pain catastrophizing (1.04; 1.01 to 1.06) and perceived stress (1.23; 1.03 to 1.46) and was more likely to report persistent pain (16.23; 1.92 to 137.1) of higher impact (1.43; 1.14 to 1.80).Conclusion
Our findings support that care-seeking patients with pTMDs who are assigned to the GS cluster display a poorer psychological profile, even though those assigned to the PS cluster display more measures consistent with orofacial pain. Findings also establish the PS cluster as a group that does not display psychological comorbidities despite being hypersensitive.Knowledge transfer statement
This study informs clinicians that patients seeking care for painful temporomandibular disorders, in specific cases of myalgia, can be classified into 1 of 3 groups that display unique profiles of symptoms. Most importantly, it emphasizes the importance of examining patients with painful temporomandibular disorders in a holistic manner that includes assessing symptoms of psychological distress. Patients with greater psychological distress will likely benefit from multidisciplinary treatment strategies that may include psychological treatments.Type
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Al-Hamed, FS, AA Alonso, D Vivaldi, SB Smith and CB Meloto (2023). The Adaptive, Pain Sensitive, and Global Symptoms Clusters: Evidence from a Patient-Based Study. JDR clinical and translational research. p. 23800844231164076. 10.1177/23800844231164076 Retrieved from https://hdl.handle.net/10161/27257.
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Scholars@Duke

Aurelio A. Alonso
Dr. Alonso is an Associate Professor in the Department of Anesthesiology at Duke University School of Medicine and Director of Orofacial Pain at Duke Innovative Pain Therapies site located in the Brier Creek area of Raleigh, NC. Dr. Alonso is an internationally respected orofacial pain physician and is a Diplomate of the American Board of Orofacial Pain and Diplomate of the American Board of Dental Sleep Medicine, and a Fellow of the American Academy of Orofacial Pain. In addition, he is the only boarded Orofacial pain physician at Duke.
Dr. Alonso provides patients with innovative pain therapies as a member of the Center for Translational Pain Medicine (CTPM) team. The CTPM further expands Duke's existing clinical and research program in innovative pain therapies by bringing together leading basic scientists, clinicians, and clinical researchers. Dr. Alonso shares with the CTPM team the common core mission of unraveling the causes of painful conditions to better improve patient care. Dr. Alonso's focus area includes Orofacial pain, Temporomandibular disorders, headaches, Neuropathic Orofacial pain, and sleep disorder treatment.

Daniela Vivaldi

Shad Benjamin Smith
Dr. Shad Smith is an assistant professor in the Department of Anesthesiology and holds a faculty position in the Center for Translational Pain Medicine (CTPM). Dr. Smith also has an adjunct appointment at the University of North Carolina at Chapel Hill, as part of the Center for Pain Research and Innovation (CPRI). He earned his bachelor’s degree in psychology with minors in chemistry and zoology from Brigham Young University, before moving on to graduate school.
In 2006, he graduated with a doctorate in psychology with an emphasis in behavioral neuroscience. Following his time at McGill, Dr. Smith accepted a post-doctoral fellowship in the CPRI at the UNC School of Dentistry. He received a Ruth L. Kirschstein National Research Service Award in 2008 to study the role of alpha adrenergic mechanisms in chronic orofacial pain. He joined the faculty at UNC as a research assistant professor in 2011. Dr. Smith has also served since 2007 as a research consultant, and since 2010 as the Director of Bioinformatics, for Algynomics, Inc., a Chapel Hill-based biotech firm spun off from research activities within the UNC School of Dentistry.
Dr. Smith joined the faculty at Duke University in 2016, where he continues his work with genetics of pain disorders. The primary focus of his research career has been the search for genetic variation that contributes to greater pain sensitivity and increased risk for chronic pain disease. He has worked for over a decade with genomic techniques, including both quantitative trait locus (QTL) mapping in the mouse and genetic association in human pain cohorts, investigating a number of pain-related diseases and phenotypes. Dr. Smith has published over 40 journal articles and book chapters, and presented his work at several international meetings. His work with projects such as the OPPERA (Orofacial Pain: Prospective Evaluation and Risk Assessment) study has resulted in a number of novel genes being recognized as genetic risk factors for pain.
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