Improving the Practice of Nutrition Therapy in the NRITLD Critically Ill Patients: An International Quality Improvement Project.
Bibliographic record
Abstract
BACKGROUND: In previous decades several studies have been performed demonstrating that providing appropriate nutritional support to intensive care unit patients affects complications, time of mechanical ventilation, length of ICU stay, and risk of death. In this study we provided a report of nutrition statuses in Masih Daneshvari's ICU as compared to 156 ICUs from 20 countries that participated in an international nutrition survey. MATERIALS AND METHODS: All patients admitted to an intensive care unit during a specified one-month period who required artificial nutrition were included in this study. Characteristics of patients, performance of nutrition practices, and ICU outcomes were registered for all patients and compared with data from 156 other intensive care units from various countries around the world. RESULTS: Twenty patients, of which 11(55%) were males and 9(45%) were females, were included in this study. The median age was 50.5 yrs (IQR: 40.5-56.0). Seventeen (85%) of them had EN nutrition only, 2(10%) had PN nutrition only, and 1(5%) had both EN and PN nutrition during their stay in the ICU. The adequacy of calorie intake was 67.6% (vs. 61.1% in all 157 ICUs) and the adequacy of protein intake was 84.9% (vs. 56.7% in 157 ICUs). CONCLUSION: In our ICU, enteral feeding was superior to parenteral feeding. Also we considered early initiation of enteral feeding within 48 hours following ICU admission. We just used polymeric formula during this study. As a result of formula variation limits, we overestimated calories and protein needs. Glutamine and Selenium supplementations have not been used yet for patient in our ICU, regardless of their proven benefits in oxidative stress conditions like pulmonary diseases. Therefore, limited use of supplementations like selenium is inevitably among the disadvantages of Masih Daneshvari Hospital's ICU, which is a tertiary-care center for chronic pulmonary diseases.
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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 | 0.014 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".