Incidence, Risk Factors, and Clinical Consequence of Enteral Feeding Intolerance in the Mechanically Ventilated Critically Ill: An Analysis of a Multicenter, Multiyear Database
Bibliographic record
Abstract
OBJECTIVES: To determine the incidence of enteral feed intolerance, identify factors associated with enteral feed intolerance, and assess the relationship between enteral feed intolerance and key nutritional and clinical outcomes in critically ill patients. DESIGN: Analysis of International Nutrition Survey database collected prospectively from 2007 to 2014. SETTING: Seven-hundred eighty-five ICUs from around the world. PATIENTS: Mechanically ventilated adults with ICU stay greater than or equal to 72 hours and received enteral nutrition during the first 12 ICU days. INTERVENTIONS: None. MEASUREMENT AND MAIN RESULTS: We defined enteral feed intolerance as interrupted feeding due to one of the following reasons: high gastric residual volumes, increased abdominal girth, distension, subjective discomfort, emesis, or diarrhea. The current analysis included 15,918 patients. Of these, 4,036 (24%) had at least one episode of enteral feed intolerance. The enteral feed intolerance rate increased from 1% on day 1 to 6% on days 4 and 5 and declined daily thereafter. After controlling for site and patient covariates, burn (odds ratio 1.46; 95% CIs, 1.07-1.99), gastrointestinal (odds ratio 1.45; 95% CI, 1.27-1.66), and sepsis (odds ratio 1.34; 95% CI, 1.17-1.54) admission diagnoses were more likely to develop enteral feed intolerance, as compared to patients with respiratory-related admission diagnosis. enteral feed intolerance patients received about 10% less enteral nutrition intake, as compared to patients without enteral feed intolerance after controlling for important covariates including severity of illness. Enteral feed intolerance patients had fewer ventilator-free days and longer ICU length of stay time to discharge alive (all p < 0.0001). The daily mortality hazard rate increased by a factor of 1.5 (1.4-1.6; p < 0.0001) once enteral feed intolerance occurred. CONCLUSIONS: Enteral feed intolerance occurs frequently during enteral nutrition delivery in the critically ill. Burn and gastrointestinal patients had the highest risk of developing enteral feed intolerance. Enteral feed intolerance is associated with lower enteral nutrition delivery and worse clinical outcomes. Identification, prevention, and optimal management of enteral feed intolerance may improve nutrition delivery and clinical outcomes in important "at risk" populations.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".