Subclinical Hypothyroidism Is Associated With Adverse Prognosis in Heart Failure Patients
Bibliographic record
Abstract
BACKGROUND: It is widely recognized that overt hyper- as well as hypothyroidism are potential causes of heart failure (HF). Additionally it has been recently reported that subclinical hypothyroidism (sub-hypo) is associated with atherosclerosis, development of HF, and cardiovascular death. We aimed to clarify the effect of sub-hypo on prognosis of HF, and underlying hemodynamics and exercise capacity. METHODS: We measured the serum levels of thyroid stimulating hormone (TSH) and free thyroxine (FT4) in 1100 consecutive HF patients. We divided these patients into 5 groups on the basis of plasma levels of TSH and FT4, and focused on euthyroidism (0.4 ≤ TSH ≤ 4 μIU/mL and 0.7 ≤ FT4 ≤ 1.9 ng/dL; n = 911; 82.8%) and sub-hypo groups (TSH > 4 μIU/mL and 0.7 ≤ FT4 ≤ 1.9 ng/dL; n = 132; 12.0%). We compared parameters of echocardiography, cardiopulmonary exercise testing, and cardiac catheterization, and followed up for cardiac event rate and all-cause mortality between the 2 groups. RESULTS: Although left ventricular ejection fraction did not differ between the 2 groups, the sub-hypo group had lower peak breath-by-breath oxygen consumption and higher mean pulmonary arterial pressure than the euthyroidism group (peak breath-by-breath oxygen consumption, 14.0 vs 15.9 mL/min/kg; P = 0.012; mean pulmonary arterial pressure, 26.8 vs 23.5 mm Hg, P = 0.020). In Kaplan-Meier analysis (mean 1098 days), the cardiac event rate and all-cause mortality were significantly higher in the sub-hypo group than those in the euthyroidism group (log rank, P < 0.01, respectively). In Cox proportional hazard analysis, sub-hypo was a predictor of cardiac event rate and all-cause mortality in HF patients (P < 0.05, respectively). CONCLUSIONS: Sub-hypo might be associated with adverse prognosis, accompanied by impaired exercise capacity and higher pulmonary arterial pressure, in HF patients.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".