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Record W2767173003 · doi:10.1093/icvts/ivx280.170

P-170RESPIRATORY FAILURE AFTER PNEUMONECTOMY: THE PRICE OF POSTOPERATIVE TRANSFUSIONS

2017· article· en· W2767173003 on OpenAlexaff
Biniam Kidane, Yu Shen, Nithin Jacob, Shaf Keshavjee, Marc de Perrot, Andrew Pierre, Kazuhiro Yasufuku, Marcelo Cypel, Thomas K. Waddell, Gail Darling

Bibliographic record

VenueInteractive Cardiovascular and Thoracic Surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsUniversity of TorontoUniversity of Manitoba
Fundersnot available
KeywordsMedicinePneumonectomySurgeryLungInternal medicine

Abstract

fetched live from OpenAlex

Objectives: Transfusion of blood products has been associated with increased risk of post-pneumonectomy respiratory failure. It is unclear whether intra- or postoperative transfusions confer higher risk of respiratory failure. Our objective was to assess the role of transfusions in developing post-pneumonectomy respiratory failure. Methods: We performed a retrospective cohort study using prospectively-collected data on consecutive pneumonectomies (2005-2015). Patient records were reviewed for intra-/postoperative exposures. Univariable and multivariable analyses were performed. Results: Of the 251 pneumonectomies performed during the study period, 24 (9.6%) patients suffered respiratory failure. Ninety-day mortality was 5.6% (n = 14) and was more likely in patients with respiratory failure (7/24 vs 7/227, P < 0.001). Intraoperative and postoperative transfusions occurred in 42.2% (n = 106) and 44.6% (n = 112) of patients respectively and were predominantly red blood cells. On univariable analysis, both intraoperative (P=0.03) and postoperative transfusion (P=0.004) were associated with higher risk for respiratory failure. The multivariable model significantly predicted respiratory failure with an AUC=0.88 (P=0.001). On multivariable analysis, the only independent predictors of respiratory failure were postoperative transfusions (adjusted odds ratio [aOR]=6.54, 95% CI 1.74–24.59, P=0.005) and lower preoperative FEV1 (aOR=0.96, 95% CI 0.93–0.99, P=0.03). Estimated blood loss (EBL) was not significantly different (P=0.91) between those with (median=800 ml, interquartile range 300-2000 ml) and without respiratory failure (median=800 ml, nterquartile range 300-2000 ml). Conclusions: Respiratory failure occurred in 9.6% of patients post-pneumonectomy and confers higher risk of 90-day mortality. Postoperative (but not intraoperative) transfusion was the strongest independent predictor of respiratory failure. EBL is not significantly different between those with and without respiratory failure, thus our findings are not likely due to confounding relationships between increased intraoperative bleeding complications, reactionary transfusions and respiratory failure. Intraoperative transfusion may be in reaction to active/unpredictable blood loss and may not be easily modifiable. However, postoperative transfusion may be modifiable and potentially avoidable. Transfusion thresholds should be assessed in light of potential cost-benefit trade-offs. Disclosure: No significant relationships.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score0.553

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.286
Teacher spread0.265 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2017
Admission routes1
Has abstractyes

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