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Abstract 4146699: Blunted Hemodynamic Reactivity to Acute Mental Stress in the Lab is Associated with Autonomic Inflexibility at Home

2024· article· en· W4404381539 on OpenAlexaff
Amit Shah, Hua She, Lisa Elon, Tatum Roberts, Lewam Stefanos, George Haddad, Jeffery Osei, Kara Suvada, Alexis K. Okoh, Shivang Desai, Matthew Gold, Vardhmaan Jain, Adithya Yadalam, Alexander C. Razavi, Charis Wiltshire, Paolo Raggi, Brad D. Pearce, Arshed A. Quyyumi, Reza Sameni, J. Douglas Bremner, Gari Clifford, Viola Vaccarino

Bibliographic record

VenueCirculation · 2024
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineHemodynamicsMental stressReactivity (psychology)CardiologyInternal medicinePathologyAlternative medicine

Abstract

fetched live from OpenAlex

Background: Growing evidence suggests that blunted blood pressure and heart rate responses to acute psychological stress independently associate with an increased risk of adverse outcomes in individuals with CHD, but assessment of mental stress reactivity in clinical settings is resource intensive. An alternative approach is to passively measure stress physiology at home with wearables, which is easier to translate into clinical practice. We tested the hypothesis that blunted mental-stress hemodynamic reactivity in the lab is associated with digital biomarkers of autonomic inflexibility at home. Methods: We conducted a mental stress test in 239 participants (age < 60 years) with an MI within 8 months. Participants underwent a speech stressor task in front of an audience to induce mental stress, during which blood pressure and heart rate were measured repeatedly during a baseline 15-minute rest period and 5-minute stress challenge. Participants went home with a 7-day Holter monitor to measure autonomic function. We examined vagal autonomic inflexibility with deceleration capacity (DC), a digital biomarker calculated via phase rectified signal averaging of heart rate intervals. We also examined low frequency (LF) heart rate variability (HRV), an indirect measure of baroreceptor sensitivity. We measured mean values from 5-minute windows during sedentary periods only to avoid confounding due to physical activity. We used multivariable linear regression models to adjust for potential confounding due to age, beta-blockers, and sex. Results: The mean age was 52 years, 51% were black, and 36% were women. Lower DC most strongly associated with a blunted change in heart rate during acute mental stress challenge (adjusted p<0.0001), followed by rate pressure product (p=0.01), systolic blood pressure (p=0.02), and diastolic blood pressure (p=0.035). The results were similar for LF HRV. We also found that the relationship was stronger in women than in men, especially for heart rate changes with stress and LF HRV (figure). Each 10 BPM reduction in heart rate reactivity associated with a 14% and 7% reduced DC in women and men, respectively. Corresponding reductions for LF HRV were 30% and 13% (p<0.05 for all). Conclusions: In young and middle-aged individuals with recent MI, laboratory-induced hemodynamic changes with stress associate with digital biomarkers of autonomic inflexibility during sedentary periods, especially in women.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.277
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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