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Activated Protein C and Septic Shock: A Propensity-Matched Cohort Study,

2011· article· en· W2594120437 on OpenAlexaff
Emily Rimmer, Anand Kumar, Steve Doucette, John C. Marshall, Sandra Dial, David Gurka, Phillip Dellinger, Sat Sharma, Charles Penner, Andreas Kramer, Kenneth E. Wood, John Ronald, Ryan Zarychanski

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsCancerCare ManitobaBrandon Regional Health AuthorityJewish General HospitalUniversity of Manitoba
Fundersnot available
KeywordsDrotrecogin alfaMedicineSeptic shockPropensity score matchingInternal medicineHazard ratioCohortRetrospective cohort studyProportional hazards modelIntensive careSepsisAPACHE IICohort studyIntensive care unitIntensive care medicineConfidence intervalSevere sepsis

Abstract

fetched live from OpenAlex

Abstract Abstract 3307 Background: Septic shock is a highly inflammatory and pro-coagulant state associated with high mortality. In a single randomized controlled clinical trial, recombinant human activated protein C (rhAPC, drotrecogin alfa) reduced mortality in patients with severe sepsis at high risk of death. Further clinical trials in patients with a lower severity of illness and in children have failed to reproduce these results, and the effectiveness of rhAPC remains the subject of ongoing debate. Insufficient data exists regarding the use of rhAPC outside of a clinical trial. Objective: To evaluate the effectiveness of rhAPC on mortality in a cohort of patients with septic shock. Methods: We conducted a retrospective, propensity-matched, multi-center cohort study in 28 academic and community intensive care units in 3 countries. Propensity scores were based more 33 variables that were either known or suspected to be associated with rhAPC use. Our primary outcomes were mortality over 30 days and 30-day mortality stratified by APACHE II quartile. Secondary outcomes were hospital and ICU mortality and length of stay, ventilator free and vasopressor free days, and the use of acute dialysis. Results: Using a propensity matched Cox proportional hazard model we observed a 5.9% absolute reduction in 30-day mortality associated with activated protein C use [115/342 (33.6%) vs. 135/342 (39.5%), HR 0.83, 95% CI 0.65–1.07, p=0.15]; however this reduction failed to reach statistical significance. Similarly, we observed non-significant reductions in mortality among the 3 lowest APACHE II quartiles (APACHE II <20: 12.5% vs. 18.2%, HR 0.66, 95%CI 0.29 – 1.49, p=0.32; APACHE II 21–25: 20% vs 33.3%, HR 0.55, 95% CI 0.30–1.02, p=0.06; and APACHE II 26–30: 36.7% vs. 48.7%, HR 0.73, 95% CI 0.45 – 1.19, p=0.21). Hospital mortality (40.6% vs. 46.8%, HR 0.83, 95%CI 0.66–1.04, p=0.10) and ICU mortality (31.0 vs. 35.1%, HR 0.87, 95%CI 0.67–1.13, p=0.28) were not significantly reduced among patients who received rhAPC compared to matched controls. The use of rhAPC was not associated with significant differences in ICU or hospital length of stay, ventilator free days, vasopressor free days or the use of acute dialysis. Conclusion: In this retrospective, multi-center propensity matched cohort study, the use of rhAPC in patients with septic shock was not associated with statistically significant reductions in 30-day mortality. However, the absolute reduction in 30-day mortality was in similar to that observed in previously published clinical trials. Prospective clinical trials evaluating the efficacy of rhAPC are currently ongoing and will serve to define the role of rhAPC in patients with septic shock. Disclosures: Kumar: Pfizer: Research Funding; Astellas: Research Funding; GSK: Research Funding; Roche: Research Funding.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.088
GPT teacher head0.290
Teacher spread0.202 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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