Application of Video Laryngoscopy for Minimally Invasive Surfactant Therapy: A Retrospective Comparative Cohort Study
Bibliographic record
Abstract
Minimally invasive surfactant therapy (MIST) has emerged as a preferred method of surfactant delivery. Pioneers of this technique have described the use of direct laryngoscopy (DL) for MIST. With the increasing application of video laryngoscopy (VL) for neonatal airway management, it is speculated that MIST techniques can be adapted for use with VL. Objective: To compare procedural success, operator ease of use, and complication of MIST using VL vs. MIST using DL. Methods: This was a retrospective, observational cohort study conducted at a tertiary-level neonatal intensive care unit after obtaining ethical approval. We included neonates who received MIST between 1 October 2020 and 31 October 2022. Baseline demographic characteristics, along with procedural data, were collected. Primary outcome measures included the overall procedural success rate, the need for multiple attempts, and the total number of attempts. Secondary outcome measures included the occurrence of adverse events, the need for a second dose of surfactant, and the need for intubation within 7 days of the procedure. Means and SDs, independent t-tests, frequencies, and chi-square were used as appropriate. p-values < 0.05 were considered statistically significant. Results: Of the 79 neonates included, 37 neonates received MIST via VL, while 42 received MIST via DL. The median gestational age was lower in the VL group at 29.0 weeks vs. 30.5 weeks (p = 0.011) in the DL group. The median birthweight in the VL group was 1260 g, IQR (1080, 1690), which was significantly lower than the DL group, which was 1575 g, IQR (1220, 2251), p = 0.028. Purpose-built catheter use was higher in the DL group. The overall procedural success was similar between groups. The need for multiple attempts was lower with VL in comparison to DL [4 (11%) vs. 13 (31%); p = 0.034)] at the univariate level but not significant at multivariate analysis (p = 0.131). Procedural complications, the need for a second dose of surfactant, the need for mechanical ventilation post-MIST, and operator ease of use were similar. User comments emphasized the value of VL in providing real-time visual information to confirm catheter placement and guide operators/trainees. Conclusion: Overall, in our cohort, despite VL being a more recently adapted technology used more in smaller, sicker, and more premature neonates, procedural success, complications, and operator ease of use for MIST using VL and DL were comparable. Our findings show the successful application of VL for MIST and suggest procedural advantages that might facilitate universal adoption.
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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 | 0.000 | 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".