ウェアラブルデバイスが炎症性腸疾患の再燃を検出・予測できることが判明(Mount Sinai Study Finds Wearable Devices Can Detect and Predict Inflammatory Bowel Disease Flare-Ups)

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2025-02-16 マウントサイナイ医療システム (MSHS)

マウントサイナイの研究者たちは、ウェアラブルデバイスから収集されるデータを活用して、炎症性腸疾患(IBD)の再燃を最大7週間前に検出および予測できることを発見しました。 この研究では、心拍数、歩数、睡眠パターンなどの生理学的データを分析し、IBD患者の症状悪化の兆候を特定しました。このアプローチは、患者の生活の質を向上させ、医療提供者が早期介入を行うことで、重篤な合併症の予防に寄与する可能性があります。

<関連情報>

ウェアラブルデバイスから収集された生理学的データが炎症性腸疾患の再燃を識別・予測する Physiological Data Collected From Wearable Devices Identify and Predict Inflammatory Bowel Disease Flares

Robert P. Hirten∙ Matteo Danieletto∙ Milagros Sanchez-Mayor∙ … ∙ Laurie Keefer ∙ Mayte Suarez-Farinas∙ Bruce E. Sands
Gastroenterology  Published:January 16, 2025
DOI:https://doi.org/10.1053/j.gastro.2024.12.024

Graphical abstract

ウェアラブルデバイスが炎症性腸疾患の再燃を検出・予測できることが判明(Mount Sinai Study Finds Wearable Devices Can Detect and Predict Inflammatory Bowel Disease Flare-Ups)

Abstract

Background & Aims
Wearable devices capture physiological signals noninvasively and passively. Many of these parameters have been linked to inflammatory bowel disease (IBD) activity. We evaluated the associative ability of several physiological metrics with IBD flares and how they change before the development of flare.

Methods
Participants throughout the United States answered daily disease activity surveys and wore an Apple Watch (Apple), Fitbit (Google), or Oura Ring (Oura Health). These devices collected longitudinal heart rate (HR), resting heart rate (RHR), heart rate variability (HRV), steps, and oxygenation. C-reactive protein, erythrocyte sedimentation rate, and fecal calprotectin were collected as standard of care. Linear mixed-effect models were implemented to analyze HR, RHR, steps, and oxygenation, and cosinor mixed-effect models were applied to HRV circadian features. Mixed-effect logistic regression was used to determine the predictive ability of physiological metrics.

Results
Three hundred and nine participants were enrolled across 36 states. Circadian patterns of HRV differed significantly between periods of inflammatory flare and remission and symptomatic flare and remission. Marginal means for HR and RHR were higher during periods of inflammatory flare and symptomatic flare. There were fewer daily steps during inflammatory flares. HRV, HR, and RHR differentiated whether participants with symptoms had inflammation. HRV, HR, RHR, steps, and oxygenation were significantly altered up to 7 weeks before inflammatory and symptomatic flares.

Conclusions
Longitudinally collected physiological metrics from wearable devices can identify and change before IBD flares, suggesting their feasibility to monitor and predict IBD activity.

医療・健康
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