Glucose and insulin abnormalities relate to functional capacity in patients with congestive heart failure
Bibliographic record
Abstract
AIMS: In addition to diabetes mellitus, less severe abnormalities of glucose and insulin metabolism may be related to functional status in patients with heart failure. We examined the relationship of hyperglycaemia (> or =6.1 mmol. l(-1)) and hyperinsulinaemia (> or =11.2 mU. l(-1)) to functional status and cardiac function in patients with heart failure. METHODS AND RESULTS: Fasting plasma glucose and insulin levels were obtained in 663 heart failure patients. The average left ventricular ejection fraction was 0.28+/-0.07, 63% were in New York Heart Association Functional Class (NYHA-FC) I/II and 37% were in NYHA-FC III/IV. Twenty seven percent had diabetes mellitus, but an additional 8% had undiagnosed diabetes mellitus (glucose > or =7 mmol. l(-1)) and 9% had glucose levels between 6.1 and 7 mmol. l(-1), so that a total of 43% (287) of patients had elevated glucose levels (> or =6.1 mmol. l(-1)). In general, more diabetic patients had NYHA-FC III/IV symptoms, shorter 6 min walk distances, but similar left ventricular ejection fractions compared to non-diabetic patients. The non-diabetic patients in NYHA-FC III/IV had higher glucose and insulin levels than patients in NYHA-FC I/II (6.3+/-0.2 vs 5.6+/-0.1 mmol. l(-1), P<0.001 and 19.6+/-2.3 vs 10. 2+/-0.6 mU. l(-1), P<0.001). Non-diabetic patients with elevated glucose levels had shorter 6 min walk distances compared to those with normal glucose levels (368.2+/-8 m vs 389.+/-4 m, P=0.02), however, left ventricular ejection fraction was similar. CONCLUSION: Glucose abnormalities are extremely common in heart failure patients (43% of patients). Diabetes mellitus and hyperglycaemia or hyperlinsulinaemia in non-diabetic patients were related to worse symptomatic status but not worsening left ventricular ejection fraction compared to patients with normal glucose and insulin levels.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".