Abstract P021: Cardiac Biomarkers, Electrolytes, and Anemia with Arrhythmias over Two Weeks in Chronic Kidney Disease: The Atherosclerosis Risk in Communities (ARIC) Study
Bibliographic record
Abstract
Background: Chronic kidney disease (CKD) increases the risk of arrhythmias and sudden cardiac death; however, it is unclear whether this association is due to cardiac overload, cardiac injury, electrolyte abnormalities, anemia, or all of the above. We therefore investigated the relationships between several biomarkers representing these conditions with various arrhythmias among CKD. Methods: In 2016-17 (visit 5), 2187 older participants (71-94 years) in the ARIC Study underwent 2-week continuous heart rhythm monitoring (Zio XT Patch). We conducted a cross-sectional study of 1276 participants with CKD. We used modified Poisson regression to examine the associations of natriuretic peptide (NT-proBNP) representing cardiac overload, high-sensitivity cardiac troponin-T (hs-cTnT) reflecting cardiac injury, potassium and magnesium (electrolyte abnormalities), and hemoglobin (anemia) with arrhythmias detected during the 2-week period: atrial fibrillation (AF), non-sustained ventricular tachycardia (NSVT), long pause (>3 sec), Mobitz II or complete atrioventricular block (AVB), and ventricular ectopy (VE). Results: There were 9% with AF, 33% with NSVT, 4% with long pause, 2% with AVB, and 29% with VE. NT-proBNP was associated with all arrhythmias except AVB ( Table 1 ). Higher hs-cTnT was associated with AF, NSVT, and VE. Lower potassium below 4.2 mmol/L was associated with AF while lower magnesium below <2 mg/dL was associated with VE. Hemoglobin showed no associations with arrhythmias. Conclusions: Of the plausible mechanisms contributing to arrhythmias in CKD, biomarkers of cardiac overload and injury were associated with most arrhythmias tested. Lower potassium and lower magnesium demonstrated a significant relationship with AF and VE, respectively. Our results suggest cardiac alterations as key conditions behind high arrhythmic burden in CKD, with somewhat limited contributions of electrolytes and anemia.
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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 | 0.001 | 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".