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Record W4414791583 · doi:10.1097/aln.0000000000005783

Intraoperative Cardiac Events in Pediatric Patients with Congenital Heart Disease Undergoing Noncardiac Procedures: Analysis of a Large Multicenter Registry

2025· article· en· W4414791583 on OpenAlexaff
Viviane G. Nasr, Michael T. Kuntz, Vannessa Chin, Nina Deutsch, David Faraoni, Wanda C. Miller‐Hance, Susan C. Nicolson, Martina Richtsfeld, Steven J. Staffa

Bibliographic record

VenueAnesthesiology · 2025
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsHeart diseaseHemodynamicsRisk assessmentDiseasePsychological interventionMulticenter study

Abstract

fetched live from OpenAlex

BACKGROUND: Patients with congenital heart disease (CHD) remain at high risk for morbidity and mortality when undergoing noncardiac procedures. Existing studies have utilized national databases focusing on mortality or are limited by small data sets from single institutions. Through a multi-institutional registry study, the primary aim was to describe the incidence of intraoperative cardiac events in patients with CHD undergoing noncardiac procedures. The secondary aim was to describe the risk factors associated with the events. METHODS: Patients with CHD from birth to 21 yr undergoing noncardiac procedures between January and December 2021 were identified at all participating centers. The primary outcome was occurrence of an intraoperative cardiac event at each encounter, defined as the composite of intraoperative hemodynamic instability, cardiac arrest, and pulmonary hypertensive crisis. RESULTS: The final analysis involved 4,343 unique patients at 7 centers undergoing 6,455 procedures. Among the cohort, 335 of 6,455 procedures involved an intraoperative cardiac event (5.2%) in 296 unique patients. The most common event was hypotension (n = 315, 4.9%); there were 12 occurrences of cardiac arrest (0.2%). Univariate analysis showed multiple factors associated with an increased likelihood of intraoperative cardiac events including patient and procedure characteristics, cardiac disease severity, and anesthetic management. Examples of patient characteristics included prematurity (odds ratio, 1.34; 95% CI, 1.02 to 1.76; P = 0.038); gastrointestinal (odds ratio, 1.51; 95% CI, 1.15 to 1.99; P = 0.003) or respiratory (odds ratio, 2.12; 95% CI, 1.62 to 2.76; P < 0.001) chronic medical conditions; preoperative ventilatory support (odds ratio, 3.88; 95% CI, 2.8 to 5.38; P < 0.001); concurrent respiratory illness (odds ratio, 2.18; 95% CI, 1.47 to 3.2; P < 0.001); major CHD (odds ratio, 2.09; 95% CI, 1.54 to 2.83; P < 0.001); and severe CHD (odds ratio, 3.48; 95% CI, 2.47 to 4.91; P < 0.001). CONCLUSIONS: Pediatric patients with severe CHD, those undergoing emergency procedures, and those undergoing surgical interventions were at higher risk of not only mortality as shown previously but also hemodynamic instability. These are established risk factors for intraoperative cardiac events and should be considered when planning risk mitigation strategies.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.656

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.006
GPT teacher head0.266
Teacher spread0.261 · 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 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

Citations3
Published2025
Admission routes1
Has abstractyes

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