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Record W2382986468

[Influence of inhaled nitric oxide on surfactant in the total cardiopulmonary bypass pig model].

2003· article· en· W2382986468 on OpenAlexaff
Tianlong Wang, Ba-xian Yang, Gilbert Blaise

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversité de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsCardiopulmonary bypassNitric oxideMedicinePulmonary surfactantAnesthesiaPulmonary complianceLungPulmonary arteryOxygenationVascular resistanceHemodynamicsBronchoalveolar lavageChemistryInternal medicineBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To study whether or not inhaled nitric oxide (INO) can improve surfactant production and pulmonary mechanics after CPB in pigs, and to seek the mechanism of lung injury during mechanical ventilation. METHODS: Thirty pigs were randomized into 6 groups: Sham (n = 5), Sham + INO (n = 5), CPB (n = 5), CPB + INO (n = 5), CPB + lipopolysaccharide (LPS) (n = 5), and CPB + LPS + INO (n = 5). After anesthesia induction, INO (mass fraction, 20 x 10(-6)), added to the gas mixture, was given to the animals throughout the procedure. After 2 hours of INO treatment, broncho-alveolar lavage (BAL) fluid was taken for surfactant assay and cytology analysis. Pulmonary hemodynamics parameters and lung compliance were measured as well. CPB was performed for 90 minutes after the first BAL sampling at T0. Four hours (T4) and 24 hours (T24) following CPB, BAL and other measurements were repeated. After CPB, LPS (4 micrograms.kg-1) was infused to specific groups of pigs within 90 minutes in order to stimulate the inflammation process. RESULTS: Pulmonary hemodynamics parameters (pulmonary artery pressure, pulmonary vascular resistance and oxygenation) in all INO groups were much better than those of the control groups at T4 and T24. However, lung compliance of pigs in all groups declined with time, and showed statistically significant differences at T24 compared with T0. At T0, the active subfraction of surfactant (large aggregate, LA) was increased in animals given INO treatment compared with the controls, but decreased with time, and at T24 significantly reduced in all groups. In LPS groups, this decrease LA after T4 was very obvious. Total cell counts and the percent differentials of neutrophils in BAL increased with time, being lower in the INO groups than in other groups. CONCLUSION: INO exposure exerted time-related effects on the lung surfactant (LA). Initially, INO resulted in short-term increase of surfactant production at T0. However, with time passing by, INO exposure following CPB did not prevent long-term decrease of lung surfactant and lung compliance although INO was beneficial for pulmonary hemodynamics and oxygenation. In summary, despite the use of INO, synergetic effects of long-term hyperoxia, mechanical ventilation and inflammation following CPB may exacerbate pulmonary mechanics and result in surfactant dysfunction.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.049
GPT teacher head0.306
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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