SOMAScience: A Novel Platform for Multidimensional, Longitudinal Pain Assessment

Chronic pain is one of the most significant health issues in the United States, affecting more than 20% of the population. Despite its contribution to the increasing health crisis, reliable predictors of disease development, progression, or treatment outcomes are lacking. Self-report remains the most effective way to assess pain, but measures are often acquired in sparse settings over short time windows, limiting their predictive ability. In this paper, we present a new mobile health platform called SOMAScience. SOMAScience serves as an easy-to-use research tool for scientists and clinicians, enabling the collection of large-scale pain datasets in single- and multicenter studies by facilitating the acquisition, transfer, and analysis of longitudinal, multidimensional, self-report pain data. Data acquisition for SOMAScience is done through a user-friendly smartphone app, SOMA, that uses experience sampling methodology to capture momentary and daily assessments of pain intensity, unpleasantness, interference, location, mood, activities, and predictions about the next day that provide personal insights into daily pain dynamics. The visualization of data and its trends over time is meant to empower individual users' self-management of their pain. This paper outlines the scientific, clinical, technological, and user considerations involved in the development of SOMAScience and how it can be used in clinical studies or for pain self-management purposes. Our goal is for SOMAScience to provide a much-needed platform for individual users to gain insight into the multidimensional features of their pain while lowering the barrier for researchers and clinicians to obtain the type of pain data that will ultimately lead to improved prevention, diagnosis, and treatment of chronic pain.

Pain Widespreadedness, and Not Primary Pain Location, is Associated With Comorbid Symptoms in Children With Chronic Pain

OBJECTIVES

Pediatric chronic pain represents heterogeneous diagnoses; often, primary pain location informs research classifications and treatment. In contrast, recent research has highlighted the role of widespread pain and this perspective has been adopted in assessments in specialty pediatric pain clinics. The lack of direct comparison between these 2 methods of categorizing pediatric chronic pain may hinder the adoption of evidence-based practices across the spectrum of care. Therefore, this study aimed to compare whether primary pain location or pain widespreadedness is more informative for pain-related symptoms in pediatric chronic pain.

METHODS

Youth (n=223) between the ages of 8 to 23 years (M=15.93, SD=2.11, 83% female) completed surveys upon intake at the pediatric chronic pain clinic. Free-text entries of primary pain location were coded into categories: headache, abdominal pain, and musculoskeletal pain. Additional domains assessed included widespread pain, pain interference, kinesiophobia, catastrophizing, anxiety, depression, sleep, and fatigue.

RESULTS

Differences based on primary pain location only emerged for kinesiophobia, F(2150)=8.20, P<0.001, with the highest scores among those with musculoskeletal pain. In contrast, controlling for sex, age, and pain intensity, pain widespreadedness was associated with pain interference, pain catastrophizing, fatigue, anxiety, and depression (P<0.05).

DISCUSSION

Pain widespreadedness was more consistently associated with pain-related outcomes among pediatric chronic pain patients than primary pain location, and body maps may be useful in determining a nociplastic pain mechanism to inform treatment. Improved assessment of pediatric pain mechanisms may help advance more precise treatment delivery.

Biopsychosocial Attributes of Single-region and Multi-region Body Pain During Early Adolescence: Analysis of the ABCD Cohort

OBJECTIVES

Multi-region pain during adolescence is associated with a higher symptom burden and lower quality of life. The purpose of this study was to describe and compare the biopsychosocial attributes of single-region and multi-region pain among healthy young adolescents.

MATERIALS AND METHODS

We analyzed data from 10,320 children aged 10.6 to 14 years who self-reported pain in the Adolescent Brain and Cognitive Development Study. Pain was coded as single-region or multi-region based on body map data.

RESULTS

One in 5 young adolescents indicated recent multi-region pain. Sequential regression supported improved model fit when psychological and sociocultural factors were added to a biological model of pain; however, these models improved the classification of multi-region but not single-region pain. A significant interaction effect of sex and puberty remained constant across models with increased odds of pain at each advancing pubertal stage for both sexes compared with prepuberty, but no difference between girls and boys at late puberty (adjusted odds ratio [OR]=2.45 [1.72, 3.49] and adjusted OR=1.63 [1.20, 2.23], respectively). Psychological factors improved the classification of multi-region pain with significant effects of anxiety, somatic symptoms, and somnolence. Finally, compared with White and non-Hispanic children, Black and Hispanic children were less likely to report pain (adjusted OR=0.70 [0.61, 0.80]; adjusted OR=0.88 [0.78, 0.99], respectively) but had significantly higher pain interference when pain was present (adjusted OR=1.49 [1.29, 1.73] and adjusted OR=1.20 [1.06, 1.35], respectively).

DISCUSSION

Pain is a biopsychosocial phenomenon, but psychological and sociocultural features may be more relevant for multi-region compared with single-region pain during early adolescence.

Standardized pain mapping for diagnosing Achilles tendinopathy

OBJECTIVES

To assess the level of agreement between patient-reported pain using a standardized pain map and the physician-determined clinical diagnosis of Achilles tendinopathy.

DESIGN

Cross-sectional study.

METHODS

Eligible patients were adults visiting a sports physician for symptoms in the Achilles tendon region. Patients completed a digital questionnaire and indicated one location on a pain map where they experienced their pain. The primary outcome measure was level of agreement (% and Kappa coefficient) between patient-reported pain on the pain map and the physician-determined clinical diagnosis (defined as localized pain associated with tendon-loading activities and pain on palpation with or without tendon thickening). The secondary outcome measure was the agreement between the location on the pain map (midportion/insertional region) with the clinical diagnosis of midportion/insertional Achilles tendinopathy.

RESULTS

110 patients (mean (SD) age 48 (13), 61% men) with pain in the Achilles region were included. In 102 (93%, Kappa = 0.86, CI 0.78-0.95) patients who indicated pain in the Achilles tendon region on the pain map, the clinical diagnosis of Achilles tendinopathy was made by the sports physician. 82% of the patients had the clinical diagnosis of tendinopathy in the specific region of the tendon they marked on the pain map (Kappa = 0.67, CI 0.54-0.79).

CONCLUSIONS

There is almost perfect agreement between patient-reported pain on a pain map and a physician-established clinical diagnosis of Achilles tendinopathy. There was substantial agreement between the localization of the pain that was selected by the patient and the diagnosis of insertional/midportion Achilles tendinopathy by the physician. This tool could potentially aid in adequate triage for specialized care and for researchers performing large epidemiological studies.