Corrigendum: Referent data for investigations of upper limb accelerometry: harmonized data from three cohorts of typically-developing children.

[This corrects the article DOI: 10.3389/fped.2024.1361757.].

Quantifying the effects of sleep on sensor-derived variables from upper limb accelerometry in people with and without upper limb impairment.

BACKGROUND: Despite the promise of wearable sensors for both rehabilitation research and clinical care, these technologies pose significant burden on data collectors and analysts. Investigations of factors that may influence the wearable sensor data processing pipeline are needed to support continued use of these technologies in rehabilitation research and integration into clinical care settings. The purpose of this study was to investigate the effect of one such factor, sleep, on sensor-derived variables from upper limb accelerometry in people with and without upper limb impairment and across a two-day wearing period. METHODS: This was a secondary analysis of data collected during a prospective, longitudinal cohort study (n = 127 individuals, 62 with upper limb impairment and 65 without). Participants wore a wearable sensor on each wrist for 48 h. Five upper limb sensor variables were calculated over the full wear period (sleep included) and with sleep time removed (sleep excluded): preferred time, non-preferred time, use ratio, non-preferred magnitude and its standard deviation. Linear mixed effects regression was used to quantify the effect of sleep on each sensor variable and determine if the effect differed between people with and without upper limb impairment and across a two-day wearing period. RESULTS: There were significant differences between sleep included and excluded for the variables preferred time (p < 0.001), non-preferred time (p < 0.001), and non-preferred magnitude standard deviation (p = 0.001). The effect of sleep was significantly different between people with and without upper limb impairment for one variable, non-preferred magnitude (p = 0.02). The effect of sleep was not substantially different across wearing days for any of the variables. CONCLUSIONS: Overall, the effects of sleep on sensor-derived variables of upper limb accelerometry are small, similar between people with and without upper limb impairment and across a two-day wearing period, and can likely be ignored in most contexts. Ignoring the effect of sleep would simplify the data processing pipeline, facilitating the use of wearable sensors in both research and clinical practice.

Referent data for investigations of upper limb accelerometry: harmonized data from three cohorts of typically-developing children.

Aim: The rise of wearable sensing technology shows promise for addressing the challenges of measuring motor behavior in pediatric populations. The current pediatric wearable sensing literature is highly variable with respect to the number of sensors used, sensor placement, wearing time, and how data extracted from the sensors are analyzed. Many studies derive conceptually similar variables via different calculation methods, making it hard to compare across studies and clinical populations. In hopes of moving the field forward, this report provides referent upper limb wearable sensor data from accelerometers on 25 variables in typically-developing children, ages 3-17 years. Methods: This is a secondary analysis of data from three pediatric cohorts of children 3-17 years of age. Participants (n = 222) in the cohorts wore bilateral wrist accelerometers for 2-4 days for a total of 622 recording days. Accelerometer data were reprocessed to compute 25 variables that quantified upper limb movement duration, intensity, symmetry, and complexity. Analyses examined the influence of hand dominance, age, gender, reliability, day-to-day stability, and the relationships between variables. Results: The majority of variables were similar on the dominant and non-dominant sides, declined slightly with age, and were not different between boys and girls. ICC values were moderate to excellent. Variation within individuals across days generally ranged from 3% to 32%. A web-based R shiny object is available for data viewing. Interpretation: With the use of wearable movement sensors increasing rapidly, these data provide key, referent information for researchers as they design studies, and analyze and interpret data from neurodevelopmental and other pediatric clinical populations. These data may be of particularly high value for pediatric rare diseases.

Characterizing the impact of multiple chronic conditions on return to participation in chronic stroke survivors.

BACKGROUND: Each year, 795,000 Americans experience a stroke. As stroke mortality declines, more individuals are in the chronic phase of recovery (>6 months post-stroke). Over 80% of stroke survivors have multiple, chronic health conditions (MCC). While the relationship between MCC and mortality and function during acute recovery has been explored, less is known about how MCC burden affects participation in chronic stroke survivors. OBJECTIVE: This study investigated whether MCC burden is related to participation in those with chronic stroke. METHODS: Two hundred and sixty-six participants with chronic (≥6 months) stroke were included in this cross-sectional and retrospective analysis. Participants had a mean age of 62.2 ± 12.8 years, and time since stroke (TSS) of 36.0 ± 44.6 months (114F/152 M). Participants completed the 6-minute Walk Test (6MWT), Activities-Specific Balance Confidence Scale (ABC), Modified Cumulative Illness Rating Scale (MCIR) to quantify the presence and severity of chronic illness across 14 body systems, and the Stroke Impact Scale - Participation subscale (SIS-P). Participation (SIS-P) was the dependent variable. Independent variables were entered into a sequential regression model in three blocks: demographic variables, physical capacity (6MWT distance) and balance self-efficacy (ABC), and MCC burden (MCIR). RESULTS: After adjusting for age, sex, and time since stroke, physical capacity and balance self-efficacy explained 31.4% (p < 0.001), and the MCC burden explained 2.0% (p = 0.004). Higher participation was related to lower MCC burden. CONCLUSIONS: MCC burden is a significant contributor to variance in participation in chronic stroke survivors, above and beyond demographics, physical capacity, and self-efficacy, and therefore should be considered when creating rehabilitation programs to improve participation.

Increasing Activity After Stroke: A Randomized Controlled Trial of High-Intensity Walking and Step Activity Intervention.

BACKGROUND: Physical inactivity in people with chronic stroke profoundly affects daily function and increases recurrent stroke risk and mortality, making physical activity improvements an important target of intervention. We compared the effects of a high-intensity walking intervention (FAST), a step activity monitoring behavioral intervention (SAM), or a combined intervention (FAST+SAM) on physical activity (ie, steps/day). We hypothesized the combined intervention would yield the greatest increase in steps/day. METHODS: This assessor-blinded multisite randomized controlled trial was conducted at 4 university/hospital-based laboratories. Participants were 21 to 85 years old, walking without physical assistance following a single, unilateral noncerebellar stroke of ≥6 months duration, and randomly assigned to FAST, SAM, or FAST+SAM for 12 weeks (2-3 sessions/week). FAST training consisted of walking-related activities at 70% to 80% heart rate reserve, while SAM received daily feedback and goal setting of walking activity (steps/day). Assessors and study statistician were masked to group assignment. The a priori-determined primary outcome and end point was a comparison of the change in steps/day between the 3 intervention groups from pre- to post-intervention. Adverse events were tracked after randomization. All randomized participants were included in the intent-to-treat analysis. RESULTS: Participants were enrolled from July 18, 2016, to November 16, 2021. Of 2385 participants initially screened, 250 participants were randomized (mean [SE] age, 63 [0.80] years; 116 females/134 males), with 89 assigned to FAST, 81 to SAM, and 80 to FAST+SAM. Steps/day significantly increased in both the SAM (mean [SE], 1542 [267; 95% CI, 1014-2069] P<0.001) and FAST+SAM group (1307 [280; 95% CI, 752-1861] P<0.001) but not in the FAST group (406 [238; 95% CI, -63 to 876] P=0.09). There were no deaths or serious study-related adverse events. CONCLUSIONS: Only individuals with chronic stroke who completed a step activity monitoring behavioral intervention with skilled coaching and goal progression demonstrated improvements in physical activity (steps/day). REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02835313.

Increasing activity after stroke: a randomized controlled trial of highintensity walking and step activity intervention.

Background: Physical inactivity in people with chronic stroke profoundly affects daily function and increases recurrent stroke risk and mortality, making physical activity improvements an important target of intervention. We compared the effects of a highintensity walking intervention (FAST), a step activity monitoring behavioral intervention (SAM), or a combined intervention (FAST+SAM) on physical activity (i.e., steps per day). We hypothesized the combined intervention would yield the greatest increase in steps per day. Methods: This assessor-blinded multi-site randomized controlled trial was conducted at four university/hospital-based laboratories. Participants were 21-85 years old, walking without physical assistance following a single, unilateral non-cerebellar stroke of ≥6 months duration, and randomly assigned to FAST, SAM, or FAST+SAM for 12 weeks (2-3 sessions/week). FAST training consisted of walking-related activities for 40 minutes/session at 70-80% heart rate reserve, while SAM received daily feedback and goal-setting of walking activity (steps per day). Assessors and study statistician were masked to group assignment.The a priori-determined primary outcome and primary endpoint was change in steps per day from pre- to post-intervention. Adverse events (AEs) were tracked after randomization. All randomized participants were included in the intent-to-treat analysis.This study is registered at ClinicalTrials.gov, NCT02835313. Findings: Participants were enrolled from July 18, 2016-November 16, 2021. Of 250 randomized participants (mean[SE] age 63[0.80], 116F/134M), 89 were assigned to FAST, 81 to SAM, and 80 to FAST+SAM. Steps per day significantly increased in both the SAM (mean[SE] 1542[267], 95%CI:1014-2069, p<0.001) and FAST+SAM groups (1307[280], 752-1861, p<0.001), but not in the FAST group (406[238], 63-876, p=0.09). There were no deaths or serious study-related AEs and all other minor AEs were similar between groups. Interpretation: Only individuals with chronic stroke who completed a step activity monitoring behavioral intervention with skilled coaching and goal progression demonstrated improvements in physical activity (steps per day).

COVID-19 associated severe mucocutaneous blistering eruptions: A case series.

Mucocutaneous eruptions are associated with numerous infectious processes and can present as erythema multiforme (EM), reactive infectious mucocutaneous eruption (RIME), Stevens Johnson syndrome (SJS), or toxic epidermal necrolysis (TEN). Limited reports have detailed the association of these eruptions with SARS-CoV-2 infection. We present a series of eight cases of severe mucocutaneous blistering eruptions associated with SARS-CoV-2 infection. A retrospective case series was performed at six tertiary medical centers from March 1, 2020 to August 1, 2022. Inclusion criteria were met with a clinical diagnosis of EM, RIME, SJS, or TEN and a positive SARS-CoV-2 test (rapid antigen or polymerase chain reaction) less than 4 weeks prior to onset of dermatologic manifestation. Data was collected at time of each patient encounter. Eight patients met criteria with six pediatric patients (<18 years of age) having a median age of 15 years and two adult patients (>18 years of age) having a median age of 36 years. Patients were found to have a clinical diagnosis of RIME in 85.7% of cases. Oral mucosal involvement was the most common clinical finding (100%), followed by ocular (50.0%), urogenital (50.0%), and skin (37.5%) involvement. Evaluation did not reveal any additional infectious triggers in four patients. Evidence of possible concurrent or previous infectious triggers were identified in four patients. This case series highlights the development of severe mucocutaneous eruptions in association with COVID-19 infection, as well as the potential contributing role of concurrent or prior infections.

Comparison of Work Relative Value Units for Outpatient Pediatric and Adult Dermatology Encounters.

Importance: Dermatologists with specialty training in pediatric dermatology are scarce, which can mean extended wait times and reduced access to care for patients. Lower compensation for pediatric dermatology visits compared with adult visits may affect physician career choice and contribute to workforce shortages. Objective: To evaluate differences in work relative value units (wRVUs) generated by pediatric and adult outpatient dermatology encounters. Design, Setting, and Participants: This cross-sectional study used data from outpatient dermatology encounters at a single-site academic center in Atlanta, Georgia, from September 1, 2016, to March 31, 2020. Encounters with patients younger than 18 years were classified as pediatric, and encounters with those 18 years or older were classified as adult. Encounters with missing data were excluded as were those generating 0 wRVUs, inpatient visits, nursing visits, postoperative encounters, cosmetic procedures, phototherapy visits, and Mohs surgery encounters. Main Outcomes and Measures: Work relative value units generated per encounter type were assessed through multivariable linear regression models adjusted for the potential confounder of sex. Results: The study included 12 989 pediatric dermatology encounters (mean [SD] age, 7.3 [5.2] years; 7586 [58.4%] girls) and 78 057 adult dermatology encounters (mean [SD] age, 54.9 [18.9] years; 45 724 [58.6%] women). Pediatric encounters were associated with 0.23 (95% CI, 0.21-0.25; P < .001) fewer wRVUs than adult encounters after adjusting for sex. In a mediation analysis, biopsies and destruction of premalignant lesions explained 74.1% (95% CI, 69.6%-77.9%; P < .001) of the wRVU difference between pediatric and adult encounters. Conclusions and Relevance: This cross-sectional study found significant differences in wRVUs generated between adult and pediatric dermatology encounters that were largely attributable to biopsies and destruction of premalignant lesions. Policies that increase the value of cognitive services to be on par with procedural care may mitigate wRVU differences and improve reimbursement for pediatric dermatologists.

A machine learning approach to identifying important features for achieving step thresholds in individuals with chronic stroke.

BACKGROUND: While many factors are associated with stepping activity after stroke, there is significant variability across studies. One potential reason to explain this variability is that there are certain characteristics that are necessary to achieve greater stepping activity that differ from others that may need to be targeted to improve stepping activity. OBJECTIVE: Using two step thresholds (2500 steps/day, corresponding to home vs. community ambulation and 5500 steps/day, corresponding to achieving physical activity guidelines through walking), we applied 3 different algorithms to determine which predictors are most important to achieve these thresholds. METHODS: We analyzed data from 268 participants with stroke that included 25 demographic, performance-based and self-report variables. Step 1 of our analysis involved dimensionality reduction using lasso regularization. Step 2 applied drop column feature importance to compute the mean importance of each variable. We then assessed which predictors were important to all 3 mathematically unique algorithms. RESULTS: The number of relevant predictors was reduced from 25 to 7 for home vs. community and from 25 to 16 for aerobic thresholds. Drop column feature importance revealed that 6 Minute Walk Test and speed modulation were the only variables found to be important to all 3 algorithms (primary characteristics) for each respective threshold. Other variables related to readiness to change activity behavior and physical health, among others, were found to be important to one or two algorithms (ancillary characteristics). CONCLUSIONS: Addressing physical capacity is necessary but not sufficient to achieve important step thresholds, as ancillary characteristics, such as readiness to change activity behavior and physical health may also need to be targeted. This delineation may explain heterogeneity across studies examining predictors of stepping activity in stroke.

Novel calcium-gelled, alginate-pectin beverage reduced energy intake in nondieting overweight and obese women: interactions with dietary restraint status.

BACKGROUND: Foods containing strong-gelling fibers may provide a safe and efficacious strategy for reducing food intake by stimulating endogenous satiety signaling. OBJECTIVE: A novel, 2-part beverage, consisting of alginate-pectin and calcium components, that forms a stable, fibrous gel in the stomach was tested to determine its effects on subjective satiety and food intake in overweight and obese women. DESIGN: The investigation was a within-subjects, double-blind, placebo-controlled study. Subjects (n = 29) ingested a 2-part beverage twice per day (once before breakfast and once midafternoon) for 7 d. Three alginate-pectin formulations were tested: 1.0 g, 2.8 g, and control (no fiber). Subjective satiety and ad libitum food intake were measured on days 1 and 7 of each 1-wk treatment period with a 1-wk washout between testings. RESULTS: A significant reduction in food intake was observed at dinner for both formulations compared with the control formulation. The effects of the gel beverage differed as a function of rigid dietary restraint status. Women in the lower 50th percentile of rigid restraint consumed 12% less energy during the day and 22% less for the evening snack in the 2.8-g condition compared with the control condition. No effect was found for women in the upper 50th percentile of rigid restraint. CONCLUSIONS: Consumption of a postingestion, calcium-gelled fiber beverage twice daily reduced energy intake in overweight and obese women with low rigid restraint scores. Use of foods designed to enhance satiety may be an effective adjunctive therapy for weight loss; however, more research is needed to determine how dietary restraint alters this response.