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Record W1499753735 · doi:10.15537/1658-3175.3087

Drotrecogin alfa activated treatment in a neonate with sepsis and multi organ failure

2005· article· en· W1499753735 on OpenAlexaff
Waleed H. Albuali, Ram N. Singh, Douglas D. Fraser, Leslie A. Scott, Alik Kornecki

Bibliographic record

VenueSaudi Medical Journal · 2005
Typearticle
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsChildren's Hospital of Western Ontario
Fundersnot available
KeywordsDrotrecogin alfaMedicineSeptic shockDisseminated intravascular coagulationSepsisDiscontinuationResuscitationIntensive care medicineInotropeShock (circulatory)AnesthesiaOrgan dysfunctionSurgerySevere sepsisInternal medicine

Abstract

fetched live from OpenAlex

The administration of drotrecogin alfa (activated) improves outcome in adult patients with severe sepsis. Since the published pediatric experience with this drug is limited, the role of drotrecogin alfa (activated) in children, and especially in newborns is not well established. We describe a 3-day-old neonate with septic shock and multiorgan system failure, including circulatory, respiratory, renal failure, and disseminated intravascular coagulation, refractory to intensive fluid resuscitation and inotrope support. Within hours of drotrecogin alfa (activated) administration, the neonate experienced dramatic improvement in hemodynamic parameters. The infusion was discontinued after 48 hours, without clinical deterioration. Aside from transient thrombocytopenia, no significant side effects were observed. A brain MRI performed on day 18 after discontinuation of treatment was normal. The positive hemodynamic effect and outcome of treatment in this patient, indicates that drotrecogin alfa (activated) may play a similar role in the treatment of sepsis in neonates as already established in adults.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0020.002
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 head0.038
GPT teacher head0.324
Teacher spread0.286 · 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 designCase report
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

Citations7
Published2005
Admission routes1
Has abstractyes

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