Evaluating the Sensoria Smart Socks Gait Monitoring System for Rehabilitation Outcomes.

BACKGROUND: Gait monitoring is important for rehabilitation but clinic-based measurements provide a brief snapshot of gait patterns. Many consumer-based activity monitors facilitate continuous gait monitoring in daily life but may be subject to measurement errors. This study examines a novel consumer-based activity monitor that is worn on the feet, and therefore not susceptible to inaccurately detecting upper body movements as gait. OBJECTIVE: To evaluate the clinical validity of Sensoria smart socks, a commercially available wireless gait monitoring technology. DESIGN: A method comparison study between the GAITRite, a criterion standard for clinical gait monitoring, and Sensoria smart socks. SETTING: Outpatient rehabilitation clinic. PARTICIPANTS: Thirty individuals capable of supervised ambulation, with or without assistive devices, were recruited through the use of flyers and emails. Data were analyzed for 29 participants. Fifteen participants had no neurologic diagnosis. Fourteen participants had a neurologic diagnosis that could result in gait impairments. Diagnoses included Parkinson disease, stroke, brain injury, developmental delay, and acoustic neuroma. METHODS: Participants completed three gait trials with simultaneous measurements by the smart socks and the GAITRite. MAIN OUTCOME MEASURES: Measurements of step count, cadence, and velocity were compared between the two gait monitoring systems. RESULTS: There was no significant difference in step count measurements between the two systems. Although there was a significant difference in cadence measurements for the total sample group, the mean difference fell within the GAITRite Standard Error of Measurement. There was no significant difference in velocity measurements for the total sample group and the mean difference fell within the GAITRite Standard Error of Measurement. CONCLUSION: These results support the clinical validity of the smart socks for measuring step number and velocity. Further investigation is warranted to determine the efficacy and clinical value of the smart socks system for measuring cadence and for monitoring gait over longer distances outside the clinic. LEVEL OF EVIDENCE: III.

Mutations in the Trp53 gene of UV-irradiated Xpc mutant mice suggest a novel Xpc-dependent DNA repair process.

Mutational hot spots in the human p53 gene are well established in tumors in the human population and are frequently negative prognosticators of the clinical outcome. We previously developed a mouse model of skin cancer with mutations in the xeroderma pigmentosum group C gene (Xpc). UVB radiation-induced skin cancer is significantly enhanced in these mice when they also carry a mutation in one copy of the Trp53 gene (Xpc-/-Trp53+/-). Skin tumors in these mice often contain inactivating mutations in the remaining Trp53 allele and we have previously reported a novel mutational hot spot at a non-dipyrimidine site (ACG) in codon 122 of the Trp53 gene in the tumors. Here we show that this mutation is not a hot spot in Xpa or Csa mutant mice. Furthermore, the mutation in codon T122 can be identified in mouse skin DNA from (Xpc-/-Trp53+/-) mice as early as 2 weeks after exposure to UVB radiation, well before histological evidence of dysplastic or neoplastic changes. Since this mutational hot spot is not at a dipyrimidine site and is apparently Xpc-specific, we suggest that some form of non-dipyrimidine base damage is normally repaired in a manner that is distinct from conventional nucleotide excision repair, but that requires XPC protein.