Implementation of a Respiratory Therapist-Driven Protocol for Neonatal Ventilation: Impact on the Premature Population
Bibliographic record
Abstract
OBJECTIVE: The purpose of this work was to evaluate the impact of the implementation of a ventilation protocol driven by registered respiratory therapists on respiratory outcomes of premature infants with birth weight < or =1250 g. METHODS: A ventilation protocol driven by a registered respiratory therapist was developed by a multidisciplinary group and implemented in our unit in July 2004. A retrospective review of 301 inborn infants with birth weight < or =1250 g who were mechanically ventilated was performed. Ninety-three infants were ventilated before the ventilation protocol (before), 109 in the first year (after 1) and 99 during the second year (after 2) after the ventilation protocol implementation. Data were collected with a predefined form. RESULTS: The baseline characteristics of the population were similar among the 3 groups, except for a significant smaller number of male infants in the first year after the protocol implementation. The significant differences among the 3 periods were as follows: (1) time of first extubation attempt; (2) duration of mechanical ventilation; and (3) rate of extubation failure (40%, 26%, and 20%). There was no difference in the rate of air leaks, patent ductus arteriosus ligation, necrotizing enterocolitis, bronchopulmonary dysplasia, or death. There was a significant decrease in the combined rates of intraventricular hemorrhage grades III to IV and/or periventricular leukomalacia (31%, 18%, and 4%) after the protocol implementation. CONCLUSIONS: In this study, we were able to demonstrate for the first time a significant improvement on the weaning time and duration of mechanical ventilation with the implementation of a ventilation protocol driven by a registered respiratory therapist in the premature population. Based on our experience, other institutions can customize ventilation protocols to their local practice. However, a prospective, randomized, controlled study should be planned to evaluate long-term outcomes such as BPD and neurodevelopment.
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 | 0.001 | 0.000 |
| 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) | 0.000 | 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".