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Record W2777407140 · doi:10.4184/asj.2017.11.6.880

Prevalence and Complications of Postoperative Transfusion for Cervical Fusion Procedures in Spine Surgery: An Analysis of 11,588 Patients from the American College of Surgeons National Surgical Quality Improvement Program Database

2017· article· en· W2777407140 on OpenAlexaff
Ahmed Aoude, Sultan Aldebeyan, Maryse Fortin, Anas Nooh, Peter Jarzem, Jean Ouellet, Michael H. Weber

Bibliographic record

VenueAsian Spine Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicCervical and Thoracic Myelopathy
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineConfidence intervalOdds ratioSurgeryBlood transfusionInternal medicine

Abstract

fetched live from OpenAlex

STUDY DESIGN: Retrospective cohort study. PURPOSE: The purpose of this study was to assess the rate of blood transfusion after cervical fusion surgery, and its effect on complication rates. OVERVIEW OF LITERATURE: Cervical spine fusions have gained interest in the literature since these procedures are now ever more frequently being performed in an outpatient setting with few complications. METHODS: The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was used to identify patients that underwent cervical fusion from 2010 to 2013. Multivariate regression analysis was used to determine postoperative complications associated with transfusion and cervical fusion. RESULTS: We identified 11,588 patients who had cervical fusion between 2010 and 2013. The rate of blood transfusion following cervical fusion found to be 1.47%. All transfused patients were found to have increased risk of venous thromboembolism (TBE) (odds ratio [OR], 3.19; 95% confidence interval [95% CI], 1.16-8.77), myocardial infarction (MI) (OR, 9.12; 95% CI, 2.53-32.8), increased length of stay (LOS) (OR, 28.03; 95% CI, 14.28-55.01) and mortality (OR, 4.14; 95% CI, 1.44-11.93). Single level fusion had increased risk of TBE (OR, 3.37; 95% CI, 1.01-11.33), MI (OR, 10.5; 95% CI, 1.88-59.89), and LOS (OR, 14.79; 95% CI, 8.2-26.67). Multilevel fusion had increased risk of TBE (OR, 5.64; 95% CI, 1.15-27.6), surgical site infection (OR, 16.29; 95% CI, 3.34-79.49), MI (OR, 10.84; 95% CI, 2.01-58.55), LOS (OR, 26.56; 95% CI, 11.8-59.78), and mortality (OR, 10.24; 95% CI, 2.45-42.71). Patients who had anterior cervical discectomy and fusion surgery and received a transfusion had an increased risk of TBE (OR, 4.87; 95% CI, 1.04-22.82), surgical site infection (OR, 9.73; 95% CI, 2.14-44.1), MI (OR, 9.88; 95% CI, 1.87-52.2), increased LOS of more than 2 days (OR, 28.34; 95% CI, 13.79-58.21) and increase in mortality (OR, 6.3; 95% CI, 1.76-22.48). While, transfused patients who had posterior fusion surgery had increased risk of MI (OR, 10.45; 95% CI, 1.42-77.12) and increased LOS of more than 6 days (OR, 4.42; 95% CI, 2.68-7.29). CONCLUSIONS: Our results demonstrate that although cervical fusions can be done as outpatient procedures special precautions and investigations should be done for patients who receive transfusion after cervical fusion. These patients are demonstrated to have higher rate of MI, TBE, wound infection and mortality when compared to those who do not receive transfusion.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.032
GPT teacher head0.368
Teacher spread0.336 · 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 designObservational
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

Citations32
Published2017
Admission routes1
Has abstractyes

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