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Record W3091686133 · doi:10.1097/pcc.0000000000002524

Shock Index, Coronary Perfusion Pressure, and Rate Pressure Product As Predictors of Adverse Outcome After Pediatric Cardiac Surgery

2020· article· en· W3091686133 on OpenAlexaff
Jonathon A. Hagel, Francesca Sperotto, Peter C. Laussen, Joshua W. Salvin, Akash Bachu, John N. Kheir

Bibliographic record

VenuePediatric Critical Care Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicHemodynamic Monitoring and Therapy
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineBlood pressureCardiologyInternal medicineCoronary perfusion pressureOdds ratioCentral venous pressureCardiac indexShock (circulatory)Cardiopulmonary resuscitationHeart rateAnesthesiaResuscitation

Abstract

fetched live from OpenAlex

OBJECTIVES: To determine whether shock index, coronary perfusion pressure, or rate pressure product in the first 24 hours after congenital heart surgery are independent predictors of subsequent clinically significant adverse outcomes. DESIGN: A retrospective cohort study. SETTING: A tertiary care center. PATIENTS: All patients less than 18 years old who underwent cardiac surgery at Boston Children's Hospital between January 1, 2010, and December 31, 2018. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Shock index (heart rate/systolic blood pressure), coronary perfusion pressure (diastolic blood pressure-right atrial pressure), and rate pressure product (heart rate × systolic blood pressure) were calculated every 5 seconds, and the median value for the first 24 hours of cardiac ICU admission for each was used as a predictor. The composite, primary outcome was the occurrence of any of the following adverse events in the first 7 days following cardiac ICU admission: cardiopulmonary resuscitation, extracorporeal cardiopulmonary resuscitation, mechanical circulatory support, unplanned surgery, heart transplant, or death. The association of each variable of interest with this outcome was tested in a multivariate logistic regression model. Of the 4,161 patients included, 296 (7%) met the outcome within the specified timeframe. In a multivariate regression model adjusted for age, surgical complexity, inotropic and respiratory support, and organ dysfunction, shock index greater than 1.83 was significantly associated with the primary outcome (odds ratio, 6.6; 95% CI, 4.4-10.0), and coronary perfusion pressure greater than 35 mm Hg was protective against the outcome (odds ratio, 0.5; 0.4-0.7). Rate pressure product was not found to be associated with the outcome. However, the predictive ability of the shock index and coronary perfusion pressure models were not superior to their component hemodynamic variables alone. CONCLUSIONS: Both shock index and coronary perfusion pressure may offer predictive value for adverse outcomes following cardiac surgery in children, although they are not superior to the primary hemodynamic variables.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.289
Teacher spread0.272 · 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.

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

Citations13
Published2020
Admission routes1
Has abstractyes

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