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Record W4213020154 · doi:10.1097/pec.0000000000002634

C-Reactive Protein and the Outcome of a Pediatric Emergency Department 7 Days Revisit

2022· article· en· W4213020154 on OpenAlexaff
Miguel Glatstein, Lotan Salamon, Gili Palnizky Soffer, Tali Capua, Dennis Scolnik, Ayelet Rimon

Bibliographic record

VenuePediatric Emergency Care · 2022
Typearticle
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineEmergency departmentC-reactive proteinWhite blood cellCohortEmergency medicineBiomarkerIntensive care unitInternal medicinePediatricsInflammation

Abstract

fetched live from OpenAlex

BACKGROUND: Pediatric emergency department (PED) return visits represent an important quality of care metric and constitute a patient-centered outcome. C-reactive protein (CRP) is an inflammatory biomarker that is commonly used as screening tool in the PED. In this study, we assessed the clinical outcomes of children whose levels of CRP are 150 mg/L or higher at the initial PED visit and if such levels could be useful in predicting outcomes at a second PED visit. METHODS: A historical cohort study of all patients who visited the PED between July 2007 and June 2017 and had a CRP value of 150 mg/L or greater in the setting of a febrile illness. Data of patients with a return visit to the PED within 7 days were assessed for an association between laboratory values, diagnosis and clinical outcome. RESULTS: One hundred thirty-six index visits were included in this study. One hundred fifteen (84.6%) of the revisits were discharged after their second visit, and 21 (15.4%) were admitted to the inpatient unit. Admitted patients did not differ from patients who were discharged home in diagnosis and CRP levels, but a difference in white blood cell and absolute neutrophil counts was observed. CONCLUSIONS: The intensity of the inflammatory response, as expressed by the high concentrations of CRP in children, does not seem to predict the outcome at a repeat PED visit within 7 days.

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 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 score0.065
Threshold uncertainty score0.998

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)0.0030.000

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 head0.046
GPT teacher head0.327
Teacher spread0.281 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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