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Record W2104181261 · doi:10.1542/hpeds.2012-0067

Morphine Is Associated With Acute Chest Syndrome in Children Hospitalized With Sickle Cell Disease

2013· article· en· W2104181261 on OpenAlexaff
Catherine S. Birken, Amina Khambalia, Annie Dupuis, Aimee C. Pastor, Michelle H. Lee, Karen Padavattan, Magda Mekky, Isaac Odame, Patricia C. Parkin

Bibliographic record

VenueHospital Pediatrics · 2013
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsPublic Health OntarioUniversity of TorontoInstitute for Clinical Evaluative SciencesSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsMedicineAcute chest syndromeMorphineEmergency departmentChest painDiseaseAcute coronary syndromeInternal medicineTriageAnesthesiaSickle cell anemiaMyocardial infarctionEmergency medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine if intravenous morphine is associated with acute chest syndrome (ACS) in children with homozygous for hemoglobin S sickle cell disease (SCD) hospitalized with acute pain. METHODS: Health records of patients with homozygous for hemoglobin S SCD aged 2 to 18 years hospitalized with acute pain were reviewed. Patients developed ACS at least 12 hours after emergency department triage; controls did not develop ACS. Survival analyses were performed. RESULTS: There were 38 cases and 45 randomly selected controls. The mean hourly dose of morphine 1, 2, and 3 hours before ACS and cumulative mean morphine dose up to 5 hours before ACS were significantly associated with ACS (P < .05). Adjusted analysis showed that 1 hour before ACS, the mean morphine dose was significantly higher in cases (40 microg/kg) compared with controls (34 microg/kg), and the risk of ACS increased by 23% for each additional 10 microg/kg of morphine received (P = .02). CONCLUSIONS: We recommend close observation for ACS in hospitalized patients with SCD who are receiving morphine.

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 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 score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.002
GPT teacher head0.180
Teacher spread0.178 · 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

Citations17
Published2013
Admission routes1
Has abstractyes

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