Troponin I and T levels in renal failure patients without acute coronary syndrome: a systematic review of the literature.
Bibliographic record
Abstract
BACKGROUND: Debate surrounds the interpretation of troponin assays for the diagnosis and prognosis of cardiac disease in patients with renal failure. OBJECTIVES: To systematically review the diagnostic and prognostic test characteristics of quantitative serum cardiac troponin I (cTnI) and T (cTnT) in renal failure patients without acute coronary syndrome (ACS) symptoms. METHODS: English-language literature was identified through searching MEDLINE from 1966 to August 2003 and reviewing reference lists. Studies were excluded if they did not meet research objectives, had fewer than 10 patients or focused primarily on nonrenal patients. Of 119 potential studies, 39 articles with over 349 patients with chronic kidney disease (CKD) and 3899 hemodialysis patients were selected for abstraction. RESULTS: Among CKD and hemodialysis patients without ACS symptoms, cTnI had a mean specificity of 97% (95% CI 93% to 99%) and 96% (95% CI 94% to 98%), respectively, using the myocardial infarction cut-off threshold. The mean specificity of cTnT compared less favourably at 85% (95% CI 75% to 93%) and 71% (95% CI 64% to 77%) for CKD and hemodialysis patients, respectively. In hemodialysis patients without ACS symptoms, positive and negative likelihood ratios for all-cause mortality over 12 to 24 months for cTnT were 4.5 (95% CI 2.9 to 7.1) and 0.6 (95% CI 0.4 to 0.8), and for cTnI were 1.6 (95% CI 0.9 to 2.9) and 1.0 (95% CI 0.9 to 1.1), respectively. CONCLUSIONS: In CKD and hemodialysis patients without ACS symptoms, troponin I, at the myocardial infarction cut-off threshold, is unlikely to be falsely elevated. Among hemodialysis patients without ACS symptoms, a positive troponin T helps predict all-cause mortality.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".