Postoperative Inhaled Nitric Oxide Use and Early Outcomes after Fontan Surgery Completion
Bibliographic record
Abstract
Abstract A considerable number of patients after the Fontan operation require prolonged hospitalization due to significant perioperative morbidities. The early postoperative morbidity can be attributed to elevated pulmonary vascular resistance. We hypothesized that the postoperative outcomes would improve with the routine use of inhaled nitric oxide (iNO) to decrease pulmonary vascular resistance. From January 2015 to November 2017 (Group 1), 37 patients underwent Fontan operation, and from December 2017 to December 2019 (Group 2), 34 patients underwent Fontan operation. All patients in Group 2 received iNO in the immediate perioperative period as part of a standardized postoperative pathway. There was no statistically significant difference in demographics or single ventricle subtype between the two groups. All patients underwent an extracardiac Fontan, and Group 2 had a higher number of fenestration (p< 0.01). Pre-Fontan hemodynamics showed no statistically significant difference in Glenn pressure, transpulmonary gradient, or systemic arterial and venous saturation. Both groups had a median length of stay of 13 days (p = 0.5), median chest tube placement of 7 days (p = 0.5), and there was no statistically significant difference in major complications. Readmission within 1 month of discharge occurred in five patients in Group 1 and six patients in Group 2 (p = 0.7). Routine use of iNO in the early postoperative period after Fontan operation did not reduce the length of stay, chest tube duration, rate of complications, or readmission.
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 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 | 0.000 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".