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Myocardial Dysfunction And Cardiac Performance Changes In Marathon Runners Monitored Using Ballistocardiography

2010· article· en· W2332494828 on OpenAlexaffabout
David S. MacQuarrie, J. Patrick Neary

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2010
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsMedicineCardiologyInternal medicineSupine positionHeart rateCardiac cycleBallistocardiographyDiastoleBlood pressure

Abstract

fetched live from OpenAlex

Previous research using echocardiography has shown that marathon running alters cardiac performance (i.e. cardiac cycle events) suggesting a transient myocardial dysfunction. Furthermore, it has been shown that an interaction between intensity and duration play a critical role in this response. We hypothesized that differences in cardiac performance between full and half-marathon could be detected using ballistocardiography (BCG). PURPOSE: To measured the mechanical function of the heart in marathon runners using non-invasive BCG. METHODS: A group of recreational runners with no known cardiovascular disease completed a full (FM; N=19; age=46.3±5.2yr; time=3:49±24 min) or half-marathon (HM; N=6; age=39.7±7.9yr; time=1:52±12 min). While lying supine under resting conditions, each runner had a factory calibrated BCG sensor, which recorded the hearts vibration and a Lead II EKG, placed over the sternum 1cm above the xiphoid process. A 30-sec BCG and EKG was recorded and stored for later analysis. A total of 15 BCG waveforms (heart beats) were analyzed for each runner pre, post, and on D1, D2, D3, and D7 post-marathon. RESULTS: When corrected for heart rate the repeated-measures ANOVA showed statistical (p≤0.05) differences between groups and over time for both systolic and diastolic timing events. Isovolumic contraction time was significantly increased pre- to post-marathon for the FM (132%) and HM (173%) and remained elevated at D7 (91% and 106% respectively). Acceleration time was increased pre- to post-marathon for both groups and was significantly longer for the FM (25%) and HM (80%). Left ventricular ejection time was 32% (FM) and 41% (HM) longer post-marathon, and rapid ejection time demonstrated a similar pattern (30% and 68% longer, respectively). Diastolic events were also affected post-marathon, with isovolumic relaxation time being significantly longer pre- to post-marathon in FM (30%) and HM (62%), and remained elevated in the HM until D3. Ventricular relaxation time (i.e., mitral valve open to early diastolic filling) was longer after the marathon (FM 40%; HM 68%), and remained elevated in the HM runners at D7 (24%). Diastolic timing was unchanged pre-to post-marathon, but increased and remained elevated at D7 (20%). CONCLUSIONS: These data suggest that: 1) altered myocardial function occurred after both the HM and FM as reflected by changes in systolic and diastolic timing; 2) greater cardiac changes occurred in the HM runners post-marathon; 3) transient changes in myocardial dysfunction can last up to D7 post-marathon, and 4) systolic and diastolic cardiac events can be monitored with BCG. Financial Support: CIHR, NSERC Canada

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.255
Teacher spread0.245 · 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 teacher head, not a consensus.

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
Published2010
Admission routes2
Has abstractyes

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