Positive Correlation Between Changes in Serum Albumin Levels and Breakfast Non-Protein Calorie/Nitrogen Ratio in Geriatric Patients
Bibliographic record
Abstract
Background: Differences in nutrition intake by meal intake time of geriatric patients may affect albumin (Alb) synthesis ability. Methods: We included 36 geriatric patients (81.7 ± 7.7 years; 20 males and 16 females) as subjects. We calculated their dietary patterns (DPs) by computing intake by breakfast, lunch, and dinner, as well as by nutrient, for a weight of 1 kg/day for 4 weeks after hospitalization. We confirmed the relationship between "DP with a positive correlation with breakfast protein" and the change rate of albumin (Alb-RC). Then, we performed linear regression analysis to explore factors influencing Alb-RC and compared non-protein calorie/nitrogen ratio (NPC/N) between the upper and lower Alb-RC groups. Results: It was observed that Alb-RC was negatively correlated with "DP with a positive correlation with breakfast protein" (B = -0.055, P = 0.038) and positively correlated with breakfast NPC/N (B = 0.043, P = 0.029). Breakfast NPC/N tended to be higher in the upper group than in the lower group (P = 0.058). Conclusion: The study revealed that there was a positive correlation between Alb-RC levels and breakfast NPC/N in geriatric patients at the care mix institution.
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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 | 0.001 |
| 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) | 0.001 | 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".