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1.
Rheumatology (Oxford) ; 60(1): 196-206, 2021 01 05.
Article in English | MEDLINE | ID: mdl-32613229

ABSTRACT

OBJECTIVES: To evaluate the feasibility and preliminary effectiveness of iCanCope with Pain (iCanCope), a smartphone-based pain self-management program, in adolescents with JIA. iCanCope featured symptom tracking, goal-setting, pain coping skills and social support. METHODS: A two-arm pilot randomized controlled trial was used to evaluate the iCanCope app compared with a version with symptom tracking only. Primary (feasibility) outcomes were: participant accrual/attrition rates, success of app deployment, acceptability and adherence. Secondary (preliminary effectiveness) outcomes were: pain intensity, pain-related activity limitations and health-related quality of life. Outcomes were assessed at baseline and 8 weeks. Adherence was defined as the proportion of completed symptom reports: 'low' (≤24%); 'low-moderate' (25-49%); 'high-moderate' (50-75%); or 'high' (76-100%). Linear mixed models were applied for preliminary effectiveness analyses as per intention-to-treat. RESULTS: Adolescents (N = 60) were recruited from three paediatric rheumatology centres. Rates of accrual and attrition were 82 and 13%, respectively. Both apps were deployed with high success (over 85%) and were rated as highly acceptable. Adherence was similar for both groups, with most participants demonstrating moderate-to-high adherence. Both groups exhibited a clinically meaningful reduction in pain intensity (≥1 point) that did not statistically differ between groups. There were no significant changes in activity limitations or health-related quality of life. CONCLUSION: The iCanCope pilot randomized controlled trial was feasible to implement in a paediatric rheumatology setting. Both apps were deployed successfully, with high acceptability, and were associated with moderate-to-high adherence. Preliminary reductions in pain intensity warrant a future trial to evaluate effectiveness of iCanCope in improving health outcomes in adolescents with JIA. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT02764346.


Subject(s)
Adaptation, Psychological , Arthritis, Juvenile/therapy , Mobile Applications/statistics & numerical data , Pain Management/methods , Self-Management/methods , Adolescent , Feasibility Studies , Female , Humans , Male , Pain Measurement , Patient Compliance/statistics & numerical data , Patient Dropouts/statistics & numerical data , Pilot Projects , Quality of Life , Social Support , Treatment Outcome
2.
J Proteome Res ; 6(4): 1418-25, 2007 Apr.
Article in English | MEDLINE | ID: mdl-17367184

ABSTRACT

Proteomic analyses using two-dimensional gel electrophoresis (2DE) depend heavily upon the quality of protein stains for sensitive detection. Indeed, detection rather than protein resolution is likely a current limiting factor in 2DE. The recent development of fluorescent protein stains has dramatically improved the sensitivity of in-gel protein detection and has enabled more accurate protein quantification. Here, we have evaluated the overall quality and relative cost of five commercially available fluorescent stains, Krypton, Deep Purple, Rubeo, Flamingo, and the most commonly used stain, Sypro Ruby (SR). All stains were found to be statistically comparable with regard to number of protein spots detected, but SR was superior with regard to fluorophore stability (e.g., capacity for repeated use of the stain solution). Notably, colloidal Coomassie Blue was also found to be comparable to SR when detected using an infrared fluorescence imaging system rather than standard densitometry. Thus, depending on available equipment and operating budgets, there are at least two high-sensitivity alternatives to achieve the best currently available in-gel protein detection: Sypro Ruby or Coomassie Blue.


Subject(s)
Coloring Agents/standards , Electrophoresis, Gel, Two-Dimensional/standards , Fluorescent Dyes/standards , Proteins/analysis , Proteomics/standards , Animals , Coloring Agents/chemistry , Fluorescent Dyes/chemistry , Mice , Sensitivity and Specificity
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