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Record W4383068639 · doi:10.1177/1753495x231184686

Trends in maternal ICU admissions at a quaternary centre in Montreal, Canada, and impact of maternal age on critical care outcomes

2023· article· en· W4383068639 on OpenAlexaffabout
Maria Agustina Lopez Laporte, Jason Shahin, Andrea Blotsky, Isabelle Malhamé, Natalie Dayan

Bibliographic record

VenueObstetric Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicMaternal and fetal healthcare
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicinePsychological interventionLogistic regressionOdds ratioConfidence intervalIntensive care unitAdvanced maternal agePregnancyOddsEmergency medicineMaternal deathObstetricsPediatricsIntensive care medicinePopulationInternal medicineFetusPsychiatry

Abstract

fetched live from OpenAlex

Background: Advancing maternal age is increasingly prevalent and is associated with severe maternal morbidity often requiring intensive care unit (ICU) admission. Objectives: To describe maternal ICU admissions at a quaternary care hospital in Montreal, Canada, and evaluate the association between maternal age and composite of: need for invasive interventions, ICU stay > 48 h, or maternal death. Methods: Chart review of ICU admissions during pregnancy/postpartum (2006-2016); logistic regressions to evaluate the impact of age on outcomes. Results: With 5.1 ICU admissions per 1000 deliveries, we included 187 women (mean age 32 ± 6.3 years; 20 (10.7%) ≥ 40 years). The composite outcome occurred in 105 (56.2%) patients; there were two maternal deaths. Age ≥ 40 years increased the odds of invasive interventions (OR 4.03; 95% confidence interval [CI] 1.15-14.1) but not of the composite outcome (OR 2.30; 95% CI 0.66-8.02). Conclusion: Peripartum women aged ≥ 40 years had worse outcomes in ICU, with an increased need for invasive interventions.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.035
GPT teacher head0.355
Teacher spread0.319 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

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