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利用活动记录仪评估特应性皮炎患者的夜间搔抓情况。

Assessing nocturnal scratch with actigraphy in atopic dermatitis patients.

作者信息

Ji Ju, Venderley Jordan, Zhang Hui, Lei Mengjue, Ruan Guangchen, Patel Neel, Chung Yu-Min, Giesting Regan, Miller Leah

机构信息

Eli Lilly & Company, INc., Indianapolis, IN, USA.

出版信息

NPJ Digit Med. 2023 Apr 26;6(1):72. doi: 10.1038/s41746-023-00821-y.

DOI:10.1038/s41746-023-00821-y
PMID:37100893
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10133290/
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.

摘要

夜间搔抓是导致特应性皮炎（AD）患者生活质量受损的一个主要因素。因此，客观量化夜间搔抓事件有助于评估疾病状态、治疗效果和AD患者的生活质量。在本文中，我们描述了如何使用活动记录仪、高度预测性的拓扑特征和模型集成方法，通过测量搔抓持续时间和强度来开发一种夜间搔抓事件评估方法。我们的评估方法在临床环境中针对从视频记录中获得的真实情况进行了测试。这种新方法解决了现有研究中未满足的挑战，例如缺乏对实际应用的通用性、未能捕捉手指搔抓情况以及当前文献中由于数据不平衡导致的评估局限性。此外，性能评估表明，得出的数字端点与视频注释的真实情况以及患者报告的结果之间具有一致性，这证明了夜间搔抓新评估方法的有效性。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a87e/10133290/cc0dbadf7b06/41746_2023_821_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a87e/10133290/d61ad99f6182/41746_2023_821_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a87e/10133290/bcf22c83d070/41746_2023_821_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a87e/10133290/00b26a54ab7d/41746_2023_821_Fig10_HTML.jpg

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