Bibliographic record
Abstract
Objective To investigate the safety and efficiency of using Succinylcholine as premedication for non-urgency intubation in prematurity.Methods During Jan.to Jul.2007,in Ottawa General Hospital and Children's Hospital of Eastern Ontario NICU,the prematurity who were received non-urgency intubation were divided into 2 groups as premedication group(group A)and non-premedication group(group B).Premedications in group A were applied Atropine,Fentanyl and Succinylcholine;premedications in group B were applied Atropine and Fentanyl.The same procedures were done according to the protocol in 2 groups.The basical information,one attempt successful intubation,total attempts,Goldberg scores and side effects were compared between both groups.Results Forty-four cases were involved in the study,25 cases in group A,19 cases in group B,there was no significant difference in patients' basical information between both groups.One attempt successful intubation was 56.0%(14 cases)in group A,higher than that in group B [21.1%(4 cases)],which had significant diffe-rence between 2 groups(P0.05).Average attempts of each patient in group A(1.8±1.3)was lower than that in group B(2.5±1.3),Goldberg score in group A(4.3±2.0)was lower than that in group B(4.7±1.8),mouth or nose bleeding in group A [5 cases(20.0%)] was higher than that in group B[2 cases(10.5%)],bradyrhythmia(heart rate100 times per minute)in group A[24.0%(6 cases)] was lower than that in group B[31.6%(6 cases)],desatuation(80%)in group A [64.0%(16 cases)]was lower than that in group B[78.9%(15 cases)],hard bagging in group A[12.0%(3 cases)] was lower than that in group B[31.6%(6 cases)],but there were no significant differences between both groups(Pa0.05).Conclusions Atropine,Fentanyl and Succinylcholine are safe as the premedication used in prematurity,which can improve one attempt successful intubation avoiding glottal injury of repeating attempts.It also can helps young physician to be familiar with the intubation techniques,premedication is recommended to teaching hospital.
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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 | 0.000 | 0.002 |
| 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) | 0.001 | 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".