Heart rate recovery in the diagnosis of diabetic Cardiovascular Autonomic Neuropathy
Bibliographic record
Abstract
Cardiovascular Autonomic Neuropath (CAN) is a poorly understood chronic complication of Diabetes Mellitus (DM). A single instrument to evaluate CAN is not available yet, because of the complex balance between both sympathetic and parasympathetic drives. Heart Rate Recovery (HRR) is a promising parameter for clinicians to use, which is the difference between the maximal heart rate achieved at the end of the exercise phase and the heart rate at different stages of the recovery. The objective of this study was to characterize parameters obtained from RR trends during the recovery phase of the Exercise ECG. Our preliminary analysis is performed with 23 patients enrolled in the DM group and 6 patients in the control group. It showed that both HRR1 after the first minute of recovery and HRR2 after the second minute of recovery are able to discriminate between groups. These results are encouraging and more trends analysis within a different window period is still needed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".