Toward the Identification of Distinct Phenotypes: Research Protocol for the Low Back Pain Biological, Biomechanical, and Behavioral (LB3P) Cohort Study and the BACPAC Mechanistic Research Center at the University of Pittsburgh.

As a member of the Back Pain Consortium (BACPAC), the University of Pittsburgh Mechanistic Research Center's research goal is to phenotype chronic low back pain using biological, biomechanical, and behavioral domains using a prospective, observational cohort study. Data will be collected from 1,000 participants with chronic low back pain according to BACPAC-wide harmonized and study-specific protocols. Participation lasts 12 months with one required in person baseline visit, an optional second in person visit for advanced biomechanical assessment, and electronic follow ups at months 1, 2, 3, 4, 5, 6, 9, and 12 to assess low back pain status and response to prescribed treatments. Behavioral data analysis includes a battery of patient-reported outcomes, social determinants of health, quantitative sensory testing, and physical activity. Biological data analysis includes omics generated from blood, saliva, and spine tissue. Biomechanical data analysis includes a physical examination, lumbopelvic kinematics, and intervertebral kinematics. The statistical analysis includes traditional unsupervised machine learning approaches to categorize participants into groups and determine the variables that differentiate patients. Additional analysis includes the creation of a series of decision rules based on baseline measures and treatment pathways as inputs to predict clinical outcomes. The characteristics identified will contribute to future studies to assist clinicians in designing a personalized, optimal treatment approach for each patient.

Factors Associated With Burnout in Physical Medicine and Rehabilitation Residents in the United States.

OBJECTIVES: The aims of the study were to determine the prevalence of burnout in physical medicine and rehabilitation residents in the United States and to identify the personal- and program-specific characteristics most strongly associated with residents reporting burnout. DESIGN: This was a cross-sectional survey of US physical medicine and rehabilitation residents. Emotional exhaustion, depersonalization, and burnout were assessed using two validated items from the Maslach Burnout Inventory. Associations of burnout with demographics and personal factors, residency program characteristics, perceived program support, and work/life balance were evaluated. RESULTS: The survey was completed by 296 residents (22.8%), with 35.8% of residents meeting the criteria for burnout. Residents' perception of not having adequate time for personal/family life was the factor most strongly associated with burnout (χ2 = 93.769, P < 0.001). Residents who reported inappropriate clerical burden and working more than 50 hrs/wk on inpatient rotations were most likely to report that they did not have adequate time for personal/family life. Faculty support (χ2 = 41.599, P < 0.001) and performing activities that led residents to choose physical medicine and rehabilitation as a specialty (χ2 = 93.082, P < 0.001) were protective against burnout. CONCLUSIONS: Residents reporting having inadequate time for their personal/family life was most strongly associated with physical medicine and rehabilitation resident burnout, although many personal and program characteristics were associated with burnout.

The Mental and Physical Health of Mothers of Children with Special Health Care Needs in the United States.

OBJECTIVE: To determine the prevalence of poor mental and physical health among mothers of children with special health care needs (CSHCN) and to determine the association between maternal health and the child's number of special health care needs (SHCN) and severity of ability limitation. METHODS: We used the combined 2016-2018 National Survey of Children's Health Dataset of 102,341 children ages 0-17 including 23,280 CSHCN. We used regression models to examine the associations of a child's number of SHCN and ability limitations with maternal health. RESULTS: Twice as many mothers of CSHCN had poor mental and physical health compared to non-CSHCN (mental 10.3% vs. 4.0%, p < .001; physical 11.9% vs 5.0%, p < .001). In regression models, increased number of SHCN and severity of activity limitations were associated with significantly increased odds of poor maternal health. CONCLUSIONS FOR PRACTICE: Mothers of CSHCN have worse health compared to mothers of non-CSHCN, especially those who experience social disadvantage and those with children with complex SHCN or severe ability limitations. Interventions to improve the health of these particularly vulnerable caregivers of CSHCN are warranted.

A roadmap to reduce information inequities in disability with digital health and natural language processing.

People with disabilities disproportionately experience negative health outcomes. Purposeful analysis of information on all aspects of the experience of disability across individuals and populations can guide interventions to reduce health inequities in care and outcomes. Such an analysis requires more holistic information on individual function, precursors and predictors, and environmental and personal factors than is systematically collected in current practice. We identify 3 key information barriers to more equitable information: (1) a lack of information on contextual factors that affect a person's experience of function; (2) underemphasis of the patient's voice, perspective, and goals in the electronic health record; and (3) a lack of standardized locations in the electronic health record to record observations of function and context. Through analysis of rehabilitation data, we have identified ways to mitigate these barriers through the development of digital health technologies to better capture and analyze information about the experience of function. We propose 3 directions for future research on using digital health technologies, particularly natural language processing (NLP), to facilitate capturing a more holistic picture of a patient's unique experience: (1) analyzing existing information on function in free text documentation; (2) developing new NLP-driven methods to collect information on contextual factors; and (3) collecting and analyzing patient-reported descriptions of personal perceptions and goals. Multidisciplinary collaboration between rehabilitation experts and data scientists to advance these research directions will yield practical technologies to help reduce inequities and improve care for all populations.

Perturbation of cortical activity elicits regional and age-dependent effects on unconstrained reaching behavior: a pilot study.

Contributions from premotor and supplementary motor areas to reaching behavior in aging humans are not well understood. The objective of these experiments was to examine effects of perturbations to specific cortical areas on the control of unconstrained reaches against gravity by younger and older adults. Double-pulse transcranial magnetic stimulation (TMS) was applied to scalp locations targeting primary motor cortex (M1), dorsal premotor area (PMA), supplementary motor area (SMA), or dorsolateral prefrontal cortex (DLPFC). Stimulation was intended to perturb ongoing activity in the targeted cortical region before or after a visual cue to initiate moderately paced reaches to one of three vertical target locations. Regional effects were observed in movement amplitude both early and late in the reach. Perturbation of PMA increased reach distance before the time of peak velocity to a greater extent than all other regions. Reaches showed greater deviation from a straight-line path around the time of peak velocity and greater overall curvature with perturbation of PMA and M1 relative to SMA and DLPFC. The perturbation increased positional variability of the reach path at the time of peak velocity and the time elapsing after peak velocity. Although perturbations had stronger effects on reaches by younger subjects, this group exhibited less reach path variability at the time of peak velocity and required less time to adjust the movement trajectory thereafter. These findings support the role of PMA in visually guided reaching and suggest an age-related change in sensorimotor processing, possibly due to a loss of cortical inhibitory control.

Effect of the Assistive Technology Professional on the Provision of Mobility Assistive Equipment.

OBJECTIVE: The purpose of this study was to examine factors associated with variability in satisfaction with functional mobility (as measured by the Functional Mobility Assessment [FMA]) in users of mobility devices. Our primary hypothesis was that device type and Assistive Technology Professional (ATP) involvement will be the most significant predictors of FMA score. Our secondary hypothesis was that ATP involvement is associated with use of more custom-fitted manual wheelchairs and group 3 and 4 power wheelchairs. DESIGN: Retrospective cohort study. SETTING: Data were collected from equipment suppliers who collaborate with clinicians to administer the FMA and associated Uniform Data Set within various settings (ie, rehabilitation clinic, school, supplier place of business). PARTICIPANTS: A data set of 4743 cases was included in the analysis (N=4743). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: FMA questionnaire collected at baseline, client age, gender, primary diagnosis, years since disability onset, device type, device age, living situation, ATP involvement, and geographic area. RESULTS: Ordinal logistic regression modeling showed that geographic area, device type, ATP involvement, primary diagnosis, gender, age, device age, and years since onset of disability significantly predicted the variance in FMA scores at P<.05. Device type was the most significant predictor of variance in FMA score. Involvement of an ATP had a significant effect on the type of device that participants used (χ220=1739.18, P<.001; odds ratio, 0.589; 95% confidence interval, 0.49-0.708). If an ATP was involved, there were significantly higher proportions (all P<.05) of individuals using custom-fitted manual wheelchair and high-end groups 3 and 4 power wheelchairs prescribed compared with when no ATP was involved or when involvement was uncertain. CONCLUSIONS: The relationship between ATP involvement and functional outcome supports the concept that ATP certification recognizes demonstrated competence in analyzing the needs of consumers with disabilities and selection of appropriate mobility assistive equipment with improved functional outcomes.

Treelet transform analysis to identify clusters of systemic inflammatory variance in a population with moderate-to-severe traumatic brain injury.

BACKGROUND: Inflammatory cascades following traumatic brain injury (TBI) can have both beneficial and detrimental effects on recovery. Single biomarker studies do not adequately reflect the major arms of immunity and their relationships to long-term outcomes. Thus, we applied treelet transform (TT) analysis to identify clusters of interrelated inflammatory markers reflecting major components of systemic immune function for which substantial variation exists among individuals with moderate-to-severe TBI. METHODS: Serial blood samples from 221 adults with moderate-to-severe TBI were collected over 1-6 months post-injury (n = 607 samples). Samples were assayed for 33 inflammatory markers using Millipore multiplex technology. TT was applied to standardized mean biomarker values generated to identify latent patterns of correlated markers. Treelet clusters (TC) were characterized by biomarkers related to adaptive immunity (TC1), innate immunity (TC2), soluble molecules (TC3), allergy immunity (TC4), and chemokines (TC5). For each TC, a score was generated as the linear combination of standardized biomarker concentrations and cluster load for each individual in the cohort. Ordinal logistic or linear regression was used to test associations between TC scores and 6- and 12-month Glasgow Outcome Scale (GOS), Disability Rating Scale (DRS), and covariates. RESULTS: When adjusting for clinical covariates, TC5 was significantly associated with 6-month GOS (odds ratio, OR = 1.44; p-value, p = 0.025) and 6-month DRS scores (OR = 1.46; p = 0.013). TC5 relationships were attenuated when including all TC scores in the model (GOS: OR = 1.29, p = 0.163; DRS: OR = 1.33, p = 0.100). When adjusting for all TC scores and covariates, only TC3 was associated with 6- and 12-month GOS (OR = 1.32, p = 0.041; OR = 1.39, p = 0.002) and also 6- and 12-month DRS (OR = 1.38, p = 0.016; OR = 1.58, p = 0.0002). When applying TT to inflammation markers significantly associated with 6-month GOS, multivariate modeling confirmed that TC3 remained significantly associated with GOS. Biomarker cluster membership remained consistent between the GOS-specific dendrogram and overall dendrogram. CONCLUSIONS: TT effectively characterized chronic, systemic immunity among a cohort of individuals with moderate-to-severe TBI. We posit that chronic chemokine levels are effector molecules propagating cellular immune dysfunction, while chronic soluble receptors are inflammatory damage readouts perpetuated, in part, by persistent dysfunctional cellular immunity to impact neuro-recovery.