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Record W2318179411 · doi:10.1097/pcc.0000000000000184

Nonrespiratory Pediatric Logistic Organ Dysfunction-2 Score Is a Good Predictor of Mortality in Children With Acute Respiratory Failure

2014· article· en· W2318179411 on OpenAlexafffund
Francis Leclerc, Alain Duhamel, Valérie Deken, C. Le Reun, Jacques Lacroix, Stéphane Leteurtre

Bibliographic record

VenuePediatric Critical Care Medicine · 2014
Typearticle
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersCanadian Institutes of Health Research
KeywordsMedicineOrgan dysfunctionInterquartile rangeLogistic regressionMultiple organ dysfunction syndromeMechanical ventilationIntensive care medicinePediatricsEmergency medicineInternal medicineSepsis

Abstract

fetched live from OpenAlex

OBJECTIVE: Multiple organ dysfunction, not respiratory failure, is the major cause of death in children with acute lung injury or acute respiratory distress syndrome. This study was undertaken to estimate the predictive value of death of the nonrespiratory Pediatric Logistic Organ Dysfunction-2 in children with acute respiratory failure. DESIGN: Analysis of the database of the recently published Pediatric Logistic Organ Dysfunction-2. SETTING: Nine multidisciplinary, tertiary-care PICU of university-affiliated hospitals in France and Belgium. PATIENTS: All consecutive children (excluding neonates) admitted to these PICUs (June 2006 to October 2007) and having acute respiratory failure. INTERVENTION: None. MEASUREMENTS AND MAIN RESULTS: We prospectively collected data on variables considered for the Pediatric Logistic Organ Dysfunction-2 score during PICU stay up to eight time points: days 1, 2, 5, 8, 12, 16, and 18, plus PICU discharge. For each variable considered in the Pediatric Logistic Organ Dysfunction-2 score, the most abnormal value observed during time points was collected. Outcome was vital status at PICU discharge. We used areas under receiver operating characteristic curve to estimate the discrimination and Hosmer-Lemeshow goodness-of-fit tests to estimate calibration of the Pediatric Logistic Organ Dysfunction-2 and the nonrespiratory Pediatric Logistic Organ Dysfunction-2 scores, with correction for the optimism bias using a bootstrap resampling method. We included 1,572 consecutive patients (median age, 20.6 months; interquartile range, 5.5-80.2; mortality rate, 9.5%). Discrimination of the Pediatric Logistic Organ Dysfunction-2 and the nonrespiratory Pediatric Logistic Organ Dysfunction-2 were excellent (areas under receiver operating characteristic curve = 0.93 and 0.92, respectively) and calibration (chi-square test for goodness-of-fit = 5.8, p = 0.45 and 7.6, p = 0.27, respectively) was good. The four nonrespiratory organ dysfunctions were closely related to the risk of mortality (p< 0.001). CONCLUSION: Our study demonstrates that the nonrespiratory Pediatric Logistic Organ Dysfunction-2 score of the entire PICU stay is highly predictive of death in children with acute respiratory failure of whom 94.3% were invasively ventilated. The nonrespiratory Pediatric Logistic Organ Dysfunction-2 score could represent the nonrespiratory organ failure definition tool whose development was recommended in the international expert recommendations on pediatric acute respiratory distress syndrome.

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)0.001
metaresearch head score (Gemma)0.007
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 score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.057
GPT teacher head0.342
Teacher spread0.285 · 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

Citations19
Published2014
Admission routes2
Has abstractyes

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