Clinical Sciences/Health Conditions
Lynn Gerber, MD (she/her/hers)
Dr.
Inova Health System and George Mason University
Bethesda, Maryland, United States
Yu-lin Hsu, PhD
Phd candidate
George Mason University
FAIRFAX, Virginia, United States
Yonathan M. Assefa, BS
Special Volunteer
Rehabilitation Medicine Department, Clinical Center, National Institutes of Health
Alexandria, Virginia, United States
John Z. Srbely, PhD
Associate Professor
University of Guelph
Guelph, Ontario, Canada
Secili DeStefano, DPT
Owner
Optimal Motion
Herndon, Virginia, United States
Jay Shah, MD
Staff Physiatrist
National Institutes of Health
Bethesda, Maryland, United States
Seiyon B. Lee, PhD
Assistant Professor
George Mason University
Fairfax, Virginia, United States
William F. Rosenberger, PhD
Distinguished University Professor
George Mason University
Arlington, Virginia, United States
Samuel A. Acuña, PhD
Research Assistant Professor
George Mason University
Fairfax, Virginia, United States
Matin Jahani jirsaraei, Msc.
Phd candidate
George Mason University
Fairfax, Virginia, United States
Antonio Stecco, MD PhD
Assistant Professor
NYU Langone Health
New York, New York, United States
Siddhartha Sikdar, PhD
Professor
George Mason University
Fairfax, Virginia, United States
Pain quality and severity vary widely for people with myofascial pain (MP), making it difficult to accurately select outcome measures. We assessed potential contributors to symptom variability for pain reporting to define the clinical spectrum and symptom burden of neck/shoulder pain and classify MP.
82 had complete records (age 32.2 years, 57% women). 23 were assigned to a spontaneously symptomatic group (SS; pain without provocation), and 59 were currently asymptomatic group (CA; including those with pain upon provocation).
Physical Function(PF) and Pain catastrophizing(PCS) are predictors of PEG (pain interference and intensity)(p < 0.0001 and p = 0.0006, respectively). PCS predicts both SS (p < 0.02) and CA (p < 0.01) groups, while PF (p = 0.025) and depression (p = 0.04) are important in the CA group. Selected variables explained 74% of the variance in PEG in all, 85% in the SS group. In SS group, PF is negatively linked with hypermobility (-0.43) and PEG (-0.37); while PCS is positively linked to PEG (0.38) and anxiety (0.36). PPT negatively correlates with quantitative sensory testing (-0.30). These measures differentiated the SS and CA groups with 87% accuracy (92% sensitivity, 74% specificity).