AI Article Synopsis

  • Nocturnal scratching significantly impacts the quality of life for patients with atopic dermatitis (AD), prompting the need for accurate measurement of these events.
  • The study introduces a method using actigraphy and advanced modeling techniques to objectively assess scratch duration and intensity in a clinical environment, validated against video recordings.
  • This new approach overcomes existing study limitations, effectively correlating digital data with video analysis and patient-reported outcomes, thus demonstrating its reliability in measuring nocturnal scratching in AD patients.

Article Abstract

Nocturnal scratch is one major factor leading to impaired quality of life in atopic dermatitis (AD) patients. Therefore, objectively quantifying nocturnal scratch events aids in assessing the disease state, treatment effect, and AD patients' quality of life. In this paper, we describe the use of actigraphy, highly predictive topological features, and a model-ensembling approach to develop an assessment of nocturnal scratch events by measuring scratch duration and intensity. Our assessment is tested in a clinical setting against the ground truth obtained from video recordings. The new approach addresses unmet challenges in existing studies, such as the lack of generalizability to real-world applications, the failure to capture finger scratches, and the limitations in the evaluation due to imbalanced data in the current literature. Furthermore, the performance evaluation shows agreement between derived digital endpoints and the video annotation ground truth, as well as patient-reported outcomes, which demonstrated the validity of the new assessment of nocturnal scratch.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10133290PMC
http://dx.doi.org/10.1038/s41746-023-00821-yDOI Listing

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