Abstract MP44: Association of High-Sensitivity Troponin With Peripheral Neuropathy in the Atherosclerosis Risk in Communities (ARIC) Study
Bibliographic record
Abstract
Introduction: High-sensitivity cardiac troponin (hs-cTnT) is a marker of myocardial damage and has been associated with diabetes and its major complications, particularly those with a microvascular etiology. The aim of this study was to assess the association of hs-cTnT and other cardiac, kidney, inflammation, and hyperglycemia biomarkers with peripheral neuropathy (PN) in both diabetic and non-diabetic populations. Methods: We conducted a cross-sectional analysis of 3,019 black and white participants in the ARIC study who underwent monofilament PN testing and had hs-cTnT and other nontraditional measures [NT-proBNP, high-sensitivity C-reactive protein, β-2 microglobulin, creatinine-based estimated glomerular filtration rate (eGFR), cystatin C-based eGFR, urine albumin:creatinine ratio, fructosamine, glycated albumin, and 1,5-anhydroglucitol] assessed at ARIC visit 6 (2016-2017, age 71-94 years). We used logistic regression models to assess the associations of these biomarkers with the presence of PN in older adults with and without diabetes after adjusting for traditional diabetes and cardiovascular risk factors. Results: Overall, 38.0% of the 3,019 participants had evidence of PN (42.0% in persons with diabetes and 36.4% in persons without diabetes). After adjusting for traditional risk factors, there were significant and robust associations of hs-cTnT, NT-proBNP, and β-2 microglobulin with PN ( Table, Model 2 ). After further adjusting for hemoglobin A1c, only the association of hs-cTnT with PN remained significant (P=0.02; Model 3 ). Elevated hs-cTnT (≥14 ng/L) was associated with prevalent PN in persons with diabetes (OR 2.10, 95%CI 1.24-3.56) and without diabetes (OR 2.61, 95% CI 1.59-4.28) compared to persons without diabetes and non-elevated hs-cTnT (<6 ng/L). Conclusions: Hs-cTnT is associated with the presence of PN in older adults independent of cardiovascular risk factors and glycemic control. These findings support the hypothesis that hs-cTnT may be a global marker of end organ damage.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".