The prevalence of neuropathic pain pathophysiology associated with ankle fracture: A study protocol
Nguyen, T.; Naugle, K. M.; Fletcher, M.; Arellano, H. D.; Leslie, K.; Bahdanovich, A.; Barger, M.; Hill, L. C.; Natoli, R. M.; White, F.
Show abstract
Chronic pain is prevalent among U.S. military personnel and often accompanied by comorbid behavioral health disorders and other medical conditions that further complicate its management. According to the Centers for Disease Control and Prevention, the prevalence of chronic pain among active-duty Service members is 1.5 to 2 times higher than the 20% of American adults who live with chronic pain. Recent report findings determined that Service members make up a large population within the Military Health Systems (MHS), and that this population is disproportionately affected by lost duty days, early retirement, loss of readiness, and increased burden to the MHS. To date, the Department of Defense (DOD) and MHS have emphasized multimodal, multidisciplinary, stepped treatment for chronic pain that prioritizes nonpharmacologic therapies and non- opioid pain medications. Though the DOD and MHS have invested in several pain treatment types, our level of understanding needs to better distinguish between acute and chronic pain and identify risk factors and mechanisms responsible for the chronification of pain, as it is the chronic pain which compromises functioning and readiness to a greater degree across the force. The novel information generated by this study will enhance our understanding of how ankle fracture elicits pathological risk factors for bone fracture associated neuropathic pain (BFNP), which ultimately impairs health-related quality of life. Due to the high prevalence of ankle fractures and the subsequent risk of developing chronic pain after ankle fracture, we will utilize this patient population to provide the preliminary evidence on whether bone fracture and subsequent BFNP phenotypes are reflected in specific genetic profiles and activated states of immune cells.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Can a specific biobehavioral based therapeutic education program lead to changes in pain perception and brain plasticity biomarkers in chronic pain patients? A study protocol for a randomized clinical trial 98%
- Spatial summation of pain is associated with pain expectations: Results from a home-based paradigm 96%
- Restoration of normal central pain processing following manual therapy in nonspecific chronic neck pain 95%
Similar papers in this journal
- Predicting pain and function outcomes in people consulting with shoulder pain: The PANDA-S clinical cohort and qualitative study protocol (ISRCTN 46948079) 96%
- The Effects of Pericapsular nerve group (PENG) block on Postoperative Recovery in Elderly Patients with Hip fracture: a study protocol for randomized, parallel controlled, double-blind trial 95%
- Guided relaxation-based virtual reality versus distraction-based virtual reality or passive control for postoperative pain management in children and adolescents undergoing Nuss repair of pectus excavatum: protocol for a prospective, randomized, controlled trial (FOREVR Peds trial) 95%
Similar papers in this journal
- Sensory profiling in classical Ehlers-Danlos syndrome: a case-control study revealing pain characteristics, somatosensory changes, and impaired pain modulation 96%
- Real Bodies Not Required? Placebo Analgesia and Pain Perception in Immersive Virtual and Augmented Reality 96%
- Management of Central Post-Stroke Pain: Systematic Review and Meta-Analysis 95%
Similar papers in this journal
- Autonomic Nervous System Markers of Music-Elicited Analgesia in People with Fibromyalgia: A Double-Blind Randomized Pilot Study 96%
- Short-term variability of chronic musculoskeletal pain 95%
- A syringe-based digital algometer with a USB interface: a low-cost alternative to commercially available devices 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.