Measuring Longitudinally the Metabolic Demands of Stroke Patients
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Little is known of the acute, subacute, and longer-term energy demands of stroke, information essential to appropriate clinical and nutritional management. The goals of this study were to (1) determine the resting energy expenditure (REE) of stroke patients from stroke onset to 3 months, (2) examine relations between stroke size, type, location, severity, and REE, and (3) evaluate whether estimation of REE from the Harris-Benedict equation (HB) requires the addition of a "stress factor" to capture the possible additional REE imposed by stroke. METHODS: The REE of new stroke patients was measured prospectively at hospital admission and on days 7, 11, 14, 21, and 90 by indirect calorimetry. Stroke patients' REEs (Kcal/d) over time and REEs as a percentage of HB were compared with control subjects' single measurements. RESULTS: Mean REE and %HB of stroke patients ranged from 1521+/-290 to 1663+/-268 Kcal/d and from 107+/-14.9 to 114+/-12.9 %HB, respectively. Mean measurements of control subjects were 1665+/-265 Kcal/d and 112.9+/-11.4 %HB (NS). REE was not associated with stroke characteristics (NS). Changes in REE measured longitudinally were not clinically meaningful (4 to 62 Kcal/d) though statistically significant (P=0.004). CONCLUSIONS: The REEs of stroke patients and controls were both approximately 10% higher than those predicted by HB. No hypermetabolic response pattern of energy expenditure was evident after stroke. REE did not vary with stroke characteristics, although confirmation with larger subgroups is required.
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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 | 0.000 |
| 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".