Altered autonomic cardiovascular function in adults with persisting post‐concussive symptoms and exercise intolerance
Bibliographic record
Abstract
Alterations in autonomic cardiovascular function may result following mild traumatic brain injury (mTBI), but there is a lack of data evaluating autonomic function in adults with persisting post-concussive symptoms (PPCS). We collected resting measures of heart rate (HR), heart rate variability (HRV), blood pressure (BP) and cardiac baroreceptor sensitivity in 50 adults with PPCS (42.8 (11.0) years; 24.5 (14.2) months post-injury; 74% female) and 50 age/sex-matched controls (43.0 (11.1) years; 74% female) with no lifetime mTBI history. HR and BP data were collected for ≥4 min when seated and standing. Between-group differences (PPCS vs. control) were analyzed using linear regression. In the seated posture, participants with PPCS had significantly lower HRV than controls, specifically RMSSD (root mean squared of successive RR interval differences) (mean difference = -10.450, p = 0.001) and SDNN (standard deviation of RR intervals) (mean difference = -12.875, p = 0.001). In the standing position, PPCS had lower SDNN. Participants with PPCS had significantly lesser change in HRV, including RMSSD (mean difference = 5.981, p = 0.007) and LF/HF (low-frequency to high-frequency ratio) (mean difference = -2.229, p = 0.016), when going from seated to standing compared to controls. Findings suggest adults with PPCS have altered autonomic function relative to controls. Physical activity level and deconditioning are potential treatment targets to improve autonomic function.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".