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Blood pressure measurements on children in the emergency department

2006· article· en· W2062572693 on OpenAlexaff
Yuri Gilhotra, Frank Willis

Bibliographic record

VenueEmergency Medicine Australasia · 2006
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineEmergency departmentBlood pressureReferralTriageObservational studyPediatricsPercentileProspective cohort studyEmergency medicineFamily medicineInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: There is no consensus on routine blood pressure (BP) measurement for children presenting to the ED. By contrast, BP measurements are performed routinely in adult ED. With increasing childhood obesity, and the knowledge that elevated BP in childhood correlates with hypertension in adulthood, routine BP measurement in children should be considered. OBJECTIVE: To review the current practice of BP measurement in children presenting to the ED of Princess Margaret Hospital for Children, Perth, Western Australia, a tertiary referral paediatric centre. METHOD: A prospective observational study of 504 children presenting to the ED over a 6 month period in 2003. RESULTS: In total, 114 children (22.6%) had their BP measured. A total of 35 (30.7%) had a BP above the 95th percentile for age and sex. In total, 19 (54.3%) of 35 with abnormal BP had their BP remeasured. Only one child of 10 with consecutive hypertensive measurements was followed up. BP measurement was more common in children aged 2 years and above, and in higher triage category patients. CONCLUSIONS: The present study demonstrates that BP measurement in the ED is both relatively infrequent and inconsistent. Further research into this area is required to determine the usefulness and feasibility of routine BP measurements in children presenting to the ED. This might improve the quality of health care and positively impact on public health for the future.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0040.000

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 head0.055
GPT teacher head0.314
Teacher spread0.259 · 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

Citations21
Published2006
Admission routes1
Has abstractyes

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