A Prospective Study of Tube‐ and Feeding‐Related Complications in Patients Receiving Long‐Term Home Enteral Nutrition
Bibliographic record
Abstract
OBJECTIVES: Percutaneous endoscopic gastrostomy tubes are frequently inserted to facilitate long-term enteral nutrition. There are few studies that address long-term complications related to feeding tubes. The purpose of this study is to examine the long-term complications related to tube malfunction and the effect these have on health care use. METHODS: In this prospective study, 8 patients who were discharged home on long-term home enteral nutrition completed a diary that listed 17 potential complications related to enteral feeding devices. Subjects completed the diary on a weekly basis, noting which of the potential complications they were experiencing and the intervention related to that complication. RESULTS: The 8 patients were followed for a mean of 10.5 months. Common tube-site complications included discharge from the tube site, red or tender stoma, and granulation tissue. Mechanical problems related to tubes plugging, breaking, and falling out were also common. Despite having a dedicated nurse and dietitian to follow these patients, unscheduled health care contacts were frequent and averaged 5.4 contacts over the mean follow-up time of 10.5 months. CONCLUSIONS: In patients receiving long-term home enteral nutrition, tube and tube-feeding complications are frequent and result in significant health care use. Given the increasing use of long-term enteral nutrition, strategies and programs must be developed to assist patients and their families in managing these complications.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".