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Record W2892996323 · doi:10.1097/pcc.0000000000001729

External Validation of the “Quick” Pediatric Logistic Organ Dysfunction-2 Score Using a Large North American Cohort of Critically Ill Children With Suspected Infection

2018· article· en· W2892996323 on OpenAlexaff
Matthias Görges, Cheryl Peters, Srinivas Murthy, Shanshan Pi, Niranjan Kissoon

Bibliographic record

VenuePediatric Critical Care Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsUniversity of British Columbia HospitalBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineInterquartile rangeOrgan dysfunctionGlasgow Coma ScaleLogistic regressionReceiver operating characteristicMedical recordMultiple organ dysfunction syndromeRetrospective cohort studyPediatricsMortality rateEmergency medicineInternal medicineSurgerySepsis

Abstract

fetched live from OpenAlex

OBJECTIVES: A quick Pediatric Logistic Organ Dysfunction 2 score on day 1, consisting of tachycardia, hypotension, and altered mentation, was shown to predict mortality with an area under the receiver operating characteristic curve of 82% (95% CI, 76-87%) in children admitted to a PICU with suspected infection. We performed an external validation of the quick Pediatric Logistic Organ Dysfunction 2, including its performance in predicting mortality in specific age groups. DESIGN: Analysis of retrospective data obtained from the Virtual Pediatric Systems PICU registry. SETTING: Prospectively collected clinical records from 130 participating PICUs in North America. PATIENTS: Children admitted between January 2009 and December 2014, with a diagnosis of infection at discharge, for whom all required data were available. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Systolic blood pressures, heart rates, and Glasgow Coma Scale scores were used to evaluate the quick Pediatric Logistic Organ Dysfunction 2 using area under the receiver operating characteristic curve analysis. Performance was compared with Pediatric Risk of Mortality 3 and Pediatric Index of Mortality 2 risk scores. Data from 42,196 children with complete data were analyzed, with median age 2.7 years (interquartile range, 0.7-8.8 yr; range 0-18 yr) and a 4.27% mortality rate. Mortality was 13.4% for quick Pediatric Logistic Organ Dysfunction 2 greater than or equal to 2 and 2.5% for quick Pediatric Logistic Organ Dysfunction 2 less than 2, representing a false-negative rate of 49.5%. Also 311 children (17%) who died had a quick Pediatric Logistic Organ Dysfunction 2 score of 0. The area under the receiver operating characteristic curve was 72.6% (95% CI, 71.4-73.8%) for quick Pediatric Logistic Organ Dysfunction 2, compared with 85.0% (95% CI, 84.0-86.0%) for Pediatric Risk of Mortality 3 and 81.5% (95% CI, 80.5-82.5%) for Pediatric Index of Mortality 2. Performance of quick Pediatric Logistic Organ Dysfunction 2 was worst in the greater than 12 years age group (area under the receiver operating characteristic curve, 67.8%; 95% CI, 65-70.5) and best in the less than 1 month age group (area under the receiver operating characteristic curve, 78.9%; 95% CI, 75.3-82.4). CONCLUSIONS: Quick Pediatric Logistic Organ Dysfunction 2 performed markedly worse in our cohort, compared with the original study, and the high rate of false negatives limits its clinical utility in our population. Further work is needed to develop a robust quick pediatric sepsis diagnostic tool for both research and clinical care.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.039
GPT teacher head0.336
Teacher spread0.297 · 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 source (direct Gemma or distilled Codex), 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

Citations11
Published2018
Admission routes1
Has abstractyes

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