Objective digital phenotypes of worry severity, pain severity and pain chronicity in persons living with HIV.

Nicholas C Jacobson, Conall O'Cleirigh
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引用次数: 13

Abstract

Persons living with HIV report experiencing disproportionally severe and chronic pain and worry. However, no objective biomarkers of these subjective experiences have been developed. To address the lack of objective measures and assist in treatment planning, this study examined whether digital biomarkers of pain severity, pain chronicity and worry could be developed, using passive wearable sensors that continuously monitor movement. Results suggest that digital biomarkers can predict pain severity (r[35] = 0.690), pain chronicity (74.63% accuracy) and worry severity (r[65] = 0.642) with high precision, suggesting that objective digital biomarkers alone accurately capture internal symptom experiences in persons living with HIV.

Declaration of interest: N.C.J. is the owner of a free application published on the Google Play Store entitled 'Mood Triggers'. He does not receive any direct or indirect revenue from his ownership of the application (i.e. the application is free, there are no advertisements and the data is only being used for research purposes). C.O. has no conflicts to declare.

目的探讨HIV感染者焦虑严重程度、疼痛严重程度和慢性疼痛的数字表型。
艾滋病毒感染者报告说,他们经历了不成比例的严重和慢性疼痛和担忧。然而,这些主观体验的客观生物标志物尚未开发出来。为了解决缺乏客观测量和辅助治疗计划的问题,本研究研究了是否可以开发疼痛严重程度、疼痛慢性性和担忧的数字生物标志物,使用被动可穿戴传感器连续监测运动。结果表明,数字生物标志物可以预测疼痛严重程度(r[35] = 0.690)、疼痛慢性程度(r[65] = 0.642)和担忧严重程度(r[65] = 0.642),准确度较高,表明仅客观的数字生物标志物就能准确捕捉HIV感染者的内部症状体验。利益声明:nc.j.是Google Play Store上发布的一款名为“Mood Triggers”的免费应用程序的所有者。他没有从他对应用程序的所有权中获得任何直接或间接的收入(即应用程序是免费的,没有广告,数据仅用于研究目的)。指挥官没有冲突要申报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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