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Étienne Vachon-Presseau

@evp82.bsky.social
178 followers 238 following 6 posts

Assistant professor McGill University. Researcher in chronic pain.

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Étienne Vachon-Presseau @evp82.bsky.social · 05/10/2026
Out now in @natmed.nature.com: we pooled self-reported pain data from 6M+ people in 118 countries across the lifespan. Most pain types climb steeply before 55, women report more pain, and late-life pain is highest in low-HDI regions. Led by @mattfillingim.bsky.social www.nature.com/articles/s41...
nature.com
Global and regional reference curves for pain across the lifespan in 6.1 million individuals in 118 countries - Nature Medicine
Global age- and sex-specific reference curves for 11 pain sites, from 6.1 million people in 118 countries, found higher late-life pain in the lowest Human Development Index (HDI) countries and provide...
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Reposted by Étienne Vachon-Presseau
Sandra Woods, Montréal 🍁 @sandrawoodsmtl.bsky.social · 16/07/2025
Breaking #chronicpain news! 📺 Watch Global News Montréal at 1730 or @globalnews.ca National at 1830, for interviews by reporter Felicia Parrillo ... Featuring @evp82.bsky.social & Dr. Mark Ware, & me - as a chronic pain patient & advocate - about why these pain research results matter!💥
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Reposted by Étienne Vachon-Presseau
tor @torwager.bsky.social · 16/05/2025
Chronic #pain involves changes in multiple brain systems for nociception, threat, and reward. What self-management practices can help us live with or even reverse these changes? Cognitive, behavioral, and #digitalhealth strategies can help! New review in Lancet: authors.elsevier.com/a/1l5%7EfV-4...
authors.elsevier.com
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Étienne Vachon-Presseau @evp82.bsky.social · 16/05/2025
Thank you !
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Étienne Vachon-Presseau @evp82.bsky.social · 12/05/2025
Thank you !
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Étienne Vachon-Presseau @evp82.bsky.social · 12/05/2025
Our new @NatureHumBehav paper shows why we need a holistic pain biomarker framework. ML on blood tests, brain/bone imaging & genetics predicts clinical diagnoses but falls short on subjective pain. Adding psychosocial (mood, sleep, stress) boosts both. shorturl.at/vxxeO
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Biological markers and psychosocial factors predict chronic pain conditions - Nature Human Behaviour
Fillingim et al. show that biological and psychosocial factors jointly predict conditions associated with chronic pain.
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Étienne Vachon-Presseau @evp82.bsky.social · 09/05/2025
Our new @NatureComms paper: We used UK Biobank data (n≈193K) to build ML models predicting tinnitus presence (driven by hearing health) and severity (influenced by mood, neuroticism & sleep). A simple 6-item POST questionnaire forecasts 9-yr outcomes. shorturl.at/4AF4P
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Tinnitus risk factors and its evolution over time - Nature Communications
Improving tinnitus prevention and clinical management by identifying key associated risk factors is crucial. Here, the authors use machine learning in a large cohort to identify key predictors of tinn...
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Étienne Vachon-Presseau @evp82.bsky.social · 02/01/2025
You got to win it twice in a row…
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