Lipids in parenteral nutrition – expert consensus statements: Translating guidelines into clinical practice
Bibliographic record
Abstract
Lipids are integral to parenteral nutrition (PN) in all settings where PN is required, serving as a source of energy and essential fatty acids. In addition, lipids modulate a variety of biological functions, including inflammatory and immune responses. Moreover, fish oil (FO), which contains omega-3 fatty acids, has become an important component of modern lipid emulsions. The Lipids in PN Summit involved a panel of international experts with extensive clinical experience in PN use. They assessed the current state of knowledge and developed expert consensus statements regarding the use of lipid emulsions in patients requiring PN. This summit built upon outcomes from an earlier summit, and focused on adult patients in three distinct clinical settings: intensive care units, hospital wards, and the home environment/long-term PN. The summit workflow included identification and appraisal of scientific and clinical literature, the exchange of practical clinical experience, and the formulation of consensus statements. The latter aim to assist healthcare professionals in their decision-making processes in daily practice by providing practical guidance related to providing lipid emulsions as part of PN. This article briefly summarizes the biological effects of lipids used in PN, and then focuses on the rationale for their use in three distinct adult PN settings. Expert consensus statements are also provided, helping to bridge gaps between evidence and clinical practice, and thus complementing formal PN guideline recommendations. There is accumulating evidence suggesting that PN including FO confers clinically meaningful advantages compared with PN without FO, and has a favorable risk–benefit ratio.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.014 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".