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Use of plasma lactate to predict early mortality and adverse outcome after neonatal extracorporeal membrane oxygenation: A prospective cohort in early childhood*

2002· article· en· W2063889021 on OpenAlexaffabout
Po‐Yin Cheung, Philip C. Etches, Mary E Weardon, Ann Marie Reynolds, Neil N. Finer, Charlene M.T. Robertson

Bibliographic record

VenueCritical Care Medicine · 2002
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsRoyal Alexandra HospitalGlenrose Rehabilitation Hospital
Fundersnot available
KeywordsMedicineExtracorporeal membrane oxygenationNeonatal intensive care unitProspective cohort studyIntensive careCohortAdverse effectIntensive care unitPediatricsCohort studyAnesthesiaInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the use of plasma lactate levels to predict mortality and neurodevelopmental outcome of neonates treated with extracorporeal membrane oxygenation. DESIGN: Prospective cohort study. SETTING: Two level III neonatal intensive care units in Canada and the United States. PATIENTS: Seventy-four neonates requiring extracorporeal membrane oxygenation in two neonatal intensive care units from 1994 to 1996. INTERVENTIONS: Differences in clinical and biochemical measurements, including serial lactate levels between three outcome groups (early deaths, adverse survivors, and normal survivors) were compared using analysis of variance. We also examined the predictive relationship between plasma lactate levels and the outcome at neonatal intensive care unit discharge and at 18-24 months postnatal age by backward, stepwise regression and Fisher's exact test. MEASUREMENTS AND MAIN RESULTS: Fifteen (20%) neonates died before neonatal intensive care unit discharge (early deaths), with seven additional deaths before follow-up, which are included in the adverse survivors group. Among 49 early childhood survivors (22 +/- 7 months), 27 were disabled or delayed with Mental and Performance Developmental Indices of 70 +/- 21 and 72 +/- 22, respectively. Early deaths had higher plasma lactate levels and were more acidemic than adverse and normal survivors, who were not different from each other (p <.05). Plasma lactate and the lowest arterial pH independently predicted 42% of the variance of the outcome ( p<.001). A peak lactate level of >or=25 mM predicted early mortality (sensitivity, 47%; specificity, 100%; positive and negative predictive values, 100% and 88%, respectively; p<.001), whereas a level of >or=15 mM predicted adverse outcome (sensitivity, 35%; specificity, 91%; positive and negative predictive values, 89% and 38%, respectively; p<.05). The predictability of plasma lactate was significantly improved in 45 neonates without congenital diaphragmatic hernia or lethal anomalies (sensitivity of 100% for early mortality, negative predictive value of 63% for adverse outcome). CONCLUSIONS In addition to assessing tissue oxygenation, plasma lactate may facilitate the decision-making process by providing early predictive information about the outcome of neonates treated with extracorporeal membrane oxygenation.

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)0.001
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 score0.004
Threshold uncertainty score0.925

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.028
GPT teacher head0.262
Teacher spread0.234 · 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

Citations46
Published2002
Admission routes2
Has abstractyes

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