Recent research has shown that dance, specifically tango, may be an appropriate and effective strategy for ameliorating functional mobility deficits in people who are frail and elderly. Individuals with Parkinson's disease (PD) experience declines in functional mobility that may be even more pronounced than those experienced by frail elderly individuals without PD. The purpose of this study was to compare the effects of two movement programs: tango classes or exercise classes. Nineteen subjects with PD were randomly assigned to a tango group or a group exercise class representative of the current classes offered in our geographical area for individuals with PD. Subjects completed a total of 20 tango or exercise classes and were evaluated the week before and the week following the intervention. Both groups showed significant improvements in overall Unified Parkinson's Disease Rating Scale (UPDRS) score and nonsignificant improvements in self-reported Freezing of Gait. In addition, the tango group showed significant improvements on the Berg Balance Scale. The exercise group did not improve on this measure. Finally, the tango group showed a trend toward improvement on the Timed Up and Go test that was not observed in the exercise group. Future studies with a larger sample are needed to confirm and extend our observation that tango may be an effective intervention to target functional mobility deficits in individuals with PD.

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Background Opioid abuse in chronic pain patients is a major public health issue, with rapidly increasing addiction rates and deaths from unintentional overdose more than quadrupling since 1999. Purpose This study seeks to determine the predictability of aberrant behavior to opioids using a comprehensive scoring algorithm incorporating phenotypic risk factors and neuroscience-associated single-nucleotide polymorphisms (SNPs). Patients and methods The Proove Opioid Risk (POR) algorithm determines the predictability of aberrant behavior to opioids using a comprehensive scoring algorithm incorporating phenotypic risk factors and neuroscience-associated SNPs. In a validation study with 258 subjects with diagnosed opioid use disorder (OUD) and 650 controls who reported using opioids, the POR successfully categorized patients at high and moderate risks of opioid misuse or abuse with 95.7% sensitivity. Regardless of changes in the prevalence of opioid misuse or abuse, the sensitivity of POR remained >95%. Conclusion The POR correctly stratifies patients into low-, moderate-, and high-risk categories to appropriately identify patients at need for additional guidance, monitoring, or treatment changes.

Background Fibromyalgia (FM) is a complex, centralized pain condition that is often difficult to diagnose and treat. FM is considered to have a genetic background due to its familial aggregation and due to findings from multiple candidate-gene studies implicating catecholaminergic and serotonergic neurotransmitter systems in chronic pain. However, a multi-factorial analysis of both genetic and environmental risk factors is lacking. A better characterization of the interplay of risk factors may assist in understanding the pathophysiology of FM, its clinical course, and assist in early diagnosis and treatment of the disorder. Methods This retrospective study included 60,367 total participants from 237 clinics across the USA. Of those, 2713 had been diagnosed with fibromyalgia, as indicated by ICD code. Logistic regression was used to test for associations of diagnosed FM in study subjects with COMT SNPs and COMT haplotypes, which were previously found to be linked with pain sensitivity, as well as demographics such as age, sex, and ethnicity. The minor allele frequencies of COMT SNPs in the FM population were compared with 1000 Genomes data using a χ2 test to determine significant deviations from the estimated population allelic frequencies. Results FM diagnosis was strongly associated with sex, age, and ethnicity. Females, those between 49 and 63 years, and non-Caucasians were at higher risk of FM. Females had 1.72 increased odds of FM ( p = 1.17 × 10 − 30 ). African-Americans were 1.52 times more likely to have a diagnosis of FM compared to Caucasians ( p = 3.11 × 10 − 12 ). Hispanics were less likely to have a diagnosis of FM compared to Caucasians ( p = 3.95 × 10 − 7 ). After adjusting for sex and ethnicity, those in the low age group and mid age group had 1.29 (p = 1.02 × 10 − 5 ) and 1.60 ( p = 1.93 × 10 − 18 ) increased odds of FM, respectively, compared to the high age group, where age was categorized by tertile (low (< 49), mid (49–63), and high (> 63)). The COMT haplotypes associated with pain sensitivity were not associated with FM, but African-Americans were 11.3 times more likely to have a high pain sensitivity COMT diplotype, regardless of FM diagnosis. However, the minor alleles of COMT SNPs rs4680 , rs4818 , rs4633 and rs6269 were overrepresented in the FM population overall, and varied when compared with ethnically-similar populations from 1000 Genomes. Conclusions ...

Introduction: Physicians prescribing opioids are at the front lines of the opioid abuse epidemic, battling to tip the scale between rising abuse rates and adequate pain control. This study evaluates the performance of an algorithm that incorporates genetic and non-genetic risk factors in accurately predicting patients at risk of Opioid Use Disorder (OUD).