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Record W4283217634 · doi:10.52964/amja.0900

The prediction of early mortality by the ROX index of oxygenation and respiratory rate in diverse Canadian and Ugandan cohorts of unselected patient: a post-hoc retrospective analysis of 80,558 patient observations

2022· article· en· W4283217634 on OpenAlexaboutno aff
John Kellett, Franck Katembo Sikakulya, Christian H. Nickel

Bibliographic record

VenueAcute Medicine Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRetrospective cohort studyIntensive care unitEmergency medicineReferralMortality ratePost-hoc analysisPredictive valuePediatricsInternal medicineFamily medicine

Abstract

fetched live from OpenAlex

AIM: To investigate the association between in-hospital mortality and the ROX index of respiratory rate and oxygenation in diverse cohorts of unselected patient at different prediction windows. METHODS: A retrospective post-hoc analysis of data from a major regional referral Canadian hospital and a low-resource hospital in sub-Saharan Africa. RESULTS: Four patient cohorts were examined: Canadian medical, surgical and intensive care unit (ICU) patients, and all patients admitted to an African hospital. In all patients in-hospital mortality rose as ROX declined. Apart from ICU patients, ROX had a high discrimination for death within 72 hours. For non-ICU patients the negative predictive value of death within 72 hours for a ROX value <22 ranged from 0.994 to 1.000 Conclusion: In diverse cohorts of unselected patients, the ROX index has a high discrimination for death within 72 hours. However, the index has little or no prognostic value for patient admitted to ICU.

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 categoriesnone
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 score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.035
GPT teacher head0.279
Teacher spread0.245 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2022
Admission routes1
Has abstractyes

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