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Record W3162457910 · doi:10.1213/ane.0000000000005571

The Association Between Race and Adverse Postoperative Outcomes in Children With Congenital Heart Disease Undergoing Noncardiac Surgery

2021· article· en· W3162457910 on OpenAlexaff
Viviane G. Nasr, Steven J. Staffa, James A. DiNardo, David Faraoni

Bibliographic record

VenueAnesthesia & Analgesia · 2021
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineOdds ratioPerioperativeConfidence intervalPropensity score matchingHeart diseaseCardiac surgeryRetrospective cohort studyIncidence (geometry)Adverse effectInternal medicineSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: The association between race and perioperative outcomes has been evaluated in adult cardiac surgical and in healthy pediatric patients but has not been evaluated in children with congenital heart disease (CHD) presenting for noncardiac procedures. This study compares the incidence of the primary outcome of 30-day mortality and adverse postoperative outcomes following noncardiac surgery between Black and White children with CHD, stratified by severity. METHODS: This is a retrospective study. Comparison of outcomes between Black and White children was performed using the 2012-2018 American College of Surgeons National Surgical Quality Improvement Program Pediatric database and after stratification for severity of CHD and propensity score matching. RESULTS: A total of 55,859 patients were included, and divided into 28,601 minor, 23,839 major, and 3419 severe CHD. Black and White children in each category were matched and compared. Following matching in the overall CHD cohort, there were significantly higher rates of the following adverse postoperative outcomes among Black patients as compared to White patients: 30-day mortality (1.84% vs 1.49%; odds ratio [OR], 1.25; 95% confidence interval [CI], 1.05-1.48; P = .014), composite secondary outcomes (19.90% vs 17.88%; OR, 1.14; 95% CI, 1.08-1.21; P < .001), cardiac arrest (1.42% vs 0.98%; OR, 1.46; 95% CI, 1.19-1.79; P < .001), 30-day reoperation (7.59% vs 6.67%; OR, 1.15; 95% CI, 1.05-1.25; P = .002), and reintubation (3.9% vs 2.95%; OR, 1.34; 95% CI, 1.19-1.52; P < .001). No significant statistical interaction between race and CHD severity was found. Following matching and within the minor CHD cohort, Black children had significantly higher rates of composite secondary outcome (17.44% vs 15.60%; OR, 1.15; 95% CI, 1.05-1.25; P = .002), cardiac arrest (1.02% vs 0.53%; OR, 1.94; 95% CI, 1.37-2.76; P < .001), 30-day reoperation (7.19% vs 5.77%; OR, 1.26; 95% CI, 1.11-1.43; P < .001), and thromboembolic complications (0.49% vs 0.23%; OR, 2.17; 95% CI, 1.29-3.63; P = .003) compared to White children. In the major CHD cohort, Black children had significantly higher rates of 30-day mortality (2.75% vs 2.05%; OR, 1.35; 95% CI, 1.08-1.69; P = .008) and reintubation (4.82% vs 3.72%; OR, 1.32; 95% CI, 1.11-1.56; P = .002). There were no statistically significant differences in outcomes in the severe CHD category for 30-day mortality (3.36% vs 3.3%; OR, 1.02; 95% CI, 0.60-1.73; P = .946), composite secondary outcome (22.65% vs 21.36%; OR, 1.08; 95% CI, 0.86-1.36; P = .517) nor the components of the composite secondary outcomes. CONCLUSIONS: Race is associated with postoperative mortality and complications in children with minor and major CHD undergoing noncardiac surgery. No significant association was observed between race and postoperative outcomes in patients with severe CHD. This is consistent with previous findings wherein in patients with severe CHD, residual lesion burden and functional status is the leading predictor of outcomes following noncardiac surgery. Nevertheless, there is no evidence that the relationship between race and outcomes differs across the CHD severity categories. Future studies to understand the mechanisms leading to the racial difference, including institutional, clinical, and individual factors are needed.

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)0.003
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.247
Teacher spread0.238 · 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".

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Citations10
Published2021
Admission routes1
Has abstractyes

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