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Record W3010315366 · doi:10.1161/circ.141.suppl_1.p244

Abstract P244: Association Between Early Life Trauma and Change in HRV During Mental Stress Among Patients With Recent Myocardial Infarction

2020· article· en· W3010315366 on OpenAlexaff
Ye Ji Kim, Oleksiy Levantsevych, Mhmtjamil Alkhalaf, Majd Soudan, J. Douglas Bremner, Arshed A. Quyyumi, Brad D. Pearce, Lisa Elon, Tené T. Lewis, Paolo Raggi, Viola Vaccarino, Amit Shah

Bibliographic record

VenueCirculation · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Risk Factors
Canadian institutionsCanadian VIGOUR Centre
Fundersnot available
KeywordsMedicineHeart rate variabilityConfoundingInternal medicineLogistic regressionMyocardial infarctionHeart rateCardiologyBlood pressure

Abstract

fetched live from OpenAlex

Background: Early-life traumatic experiences have been associated with increased cardiovascular disease risk. Little is known about how early-life traumatic experiences may affect changes in autonomic function during mental stress among young subjects post-MI. Objective: We hypothesized that those with high exposure to early-life trauma, compared to those with low exposure to early-life trauma, would have increased autonomic dysfunction at baseline, worse stress reactivity, and slower autonomic recovery. Methods: We evaluated 321 subjects with a history of recent myocardial infarction who underwent a laboratory-based mental stress speech task. HRV was measured at rest (T0), during mental stress (T1), and during recovery (T2) with ambulatory electrocardiographic monitoring. We evaluated low frequency (LF) HRV as the primary outcome because of its relationship with baroreflex sensitivity, psychological stress, and cardiovascular disease outcomes. Early life trauma was assessed using the Early Trauma Inventory Self Report - Short Form (ETI-SF) and a binary variable was calculated using one SD above the mean of the ETI-SF score, a previously validated cutpoint, to indicate high early-life trauma exposure and low otherwise. Sociodemographic factors, including race, highest education attained, age, and gender, were considered as potential confounders in multiple linear regression models. Differences amongst stress, rest, and recovery metrics were evaluated as outcomes in separate models. Results: Of 321 subjects with HRV data, 284 were included in the final analytic sample after excluding those with missing covariates. The mean age was 50.7 ± 6.7, 49% were female (139), and 64% were African-American (182); 260 (88.4%) reported experiencing high levels of early-life trauma. There were no associations between early-life trauma during baseline HRV (T0), reactivity to stress (T1 - T0), and prolonged reactivity (T2 - T0). However, those with high early-life trauma had reduced HRV during recovery from stress compared to those with low early-life trauma (T2 - T1; Beta (95% CI) = -0.37 (-0.73, -0.01)). Results were similar after adjustment for sociodemographic factors and did not vary by race/ethnicity or gender. Conclusion: Among subjects with recent MI, high exposure to early-life trauma is associated with prolonged stress-induced autonomic dysfunction during stress and recovery, while the low exposure subjects revert to baseline HRV levels during recovery. This may indicate greater stress-induced cardiotoxicity in those exposed to early life trauma.

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)0.002
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.247
Teacher spread0.224 · 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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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