智能手表测量血氧饱和度以预测急性高原病：诊断准确性和可靠性

Smartwatch measurement of blood oxygen saturation for predicting acute mountain sickness: Diagnostic accuracy and reliability.

作者信息

Zeng Zhengyang, Li Lili, Hu Li'ao, Wang Kang, Li Lun

机构信息

Department of Physical Education, Chengdu Technological University, Yibin, Sichuan, China.

School of Physical Education, China University of Geosciences (Wuhan), Hubei, China.

出版信息

Digit Health. 2024 Sep 27;10:20552076241284910. doi: 10.1177/20552076241284910. eCollection 2024 Jan-Dec.

DOI:10.1177/20552076241284910

PMID:39351311

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11440541/

Abstract

OBJECTIVE

This study aims to assess the accuracy and stability of smartwatches in predicting acute mountain sickness (AMS).

METHODS

In locations exceeding an altitude of 2500 m, a cohort of 42 subjects had their Lake Louise AMS self-assessment score, blood oxygen saturation (SpO), heart rate, and perfusion index measured using smartwatches, with the data seamlessly conveyed to the Huawei Cloud.

RESULTS

A significant decrease in SpO was observed in individuals positive for AMS compared to those negative (< 0.05), with the mild AMS group exhibiting significantly lower SpO levels than the non-AMS group (< 0.05). Furthermore, SpO emerged as a significant, independent predictor of AMS [=-0.086, < 0.01, OR (95% CI) = 0.92 (0.87-0.97)], indicating that each unit increase in SpO decreases the probability of AMS occurrence by 8.6%.

CONCLUSION

The Huawei smartwatches have demonstrated efficacy in diagnosing and foretelling AMS at elevations exceeding 4000 m, showcasing significant reliability and high precision in SpO measurement

摘要

目的

本研究旨在评估智能手表在预测急性高原病（AMS）方面的准确性和稳定性。

方法

在海拔超过2500米的地区，42名受试者使用智能手表测量其路易斯湖AMS自我评估分数、血氧饱和度（SpO）、心率和灌注指数，并将数据无缝传输至华为云。

结果

与AMS阴性者相比，AMS阳性者的SpO显著降低（<0.05），轻度AMS组的SpO水平显著低于非AMS组（<0.05）。此外，SpO是AMS的一个显著独立预测因素[=-0.086，<0.01，比值比（95%可信区间）=0.92（0.87-0.97）]，表明SpO每增加一个单位，AMS发生的概率降低8.6%。