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Record W2801315773 · doi:10.1097/ccm.0000000000002996

Is Heparin-Binding Protein Inhibition a Mechanism of Albumin’s Efficacy in Human Septic Shock?

2018· article· en· W2801315773 on OpenAlexaff
Jane Fisher, Adam Linder, Peter Bentzer, John H. Boyd, HyeJin Julia Kong, Terry Lee, Keith R. Walley, James A. Russell

Bibliographic record

VenueCritical Care Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicTrauma, Hemostasis, Coagulopathy, Resuscitation
Canadian institutionsCentre for Advancing Health OutcomesSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineSeptic shockAlbuminHeparinMechanism (biology)PharmacologyShock (circulatory)Human serum albuminHuman albuminInternal medicineBiochemistrySepsis

Abstract

fetched live from OpenAlex

OBJECTIVES: Our objectives were to determine first whether albumin prevents heparin-binding protein-induced increased endothelial cell permeability and renal cell inflammation and second, whether a plasma heparin-binding protein-to-albumin ratio predicts risk of acute kidney injury, fluid balance, and plasma cytokine levels in septic shock. DESIGN: In vitro human endothelial and renal cell model and observation cohort of septic shock. SETTINGS: Research laboratory and multicenter clinical trial (Vasopressin and Septic Shock Trial). PATIENTS: Adult septic shock (norepinephrine dose > 5 μg/min for > 6 hr). INTERVENTIONS: In vitro: heparin-binding protein (or thrombin) was added with or without albumin to 1) human endothelial cell monolayers to assess permeability and 2) to human renal tubular epithelial cells to assess inflammation. MEASUREMENTS AND MAIN RESULTS: Transendothelial electrical resistance-a marker of permeability-of human endothelial cells was measured using a voltohmmeter. We measured plasma heparin-binding protein-to-albumin ratio and a panel of cytokines in septic shock patients (n = 330) to define an heparin-binding protein-to-albumin ratio that predicts risk of acute kidney injury. Albumin inhibited heparin-binding protein (and thrombin-induced) increased endothelial cell permeability at a threshold concentration of 20-30 g/L but increased renal tubular cell interleukin-6 release. Patients who developed or had worsened acute kidney injury had significantly higher heparin-binding protein-to-albumin ratio (1.6 vs 0.89; p < 0.001) and heparin-binding protein (38.2 vs 20.8 ng/mL; p < 0.001) than patients without acute kidney injury. The highest heparin-binding protein-to-albumin ratio (> 3.05), heparin-binding protein quartiles (> 69.8), and heparin-binding protein > 30 ng/mL were significantly associated with development or worsening of acute kidney injury (p < 0.001) in unadjusted and adjusted analyses and were robust to sensitivity analyses for death as a competing outcome. Heparin-binding protein and heparin-binding protein-to-albumin ratio were directly associated with positive fluid balance (p < 0.001) and with key inflammatory cytokines. Increasing quartiles of heparin-binding protein-to-albumin ratio and heparin-binding protein (but not albumin) were highly significantly associated with days alive and free of acute kidney injury and renal replacement therapy (p < 0.001), vasopressors (p < 0.001), ventilation (p < 0.001), and with 28-day mortality. CONCLUSIONS: Albumin inhibits heparin-binding protein-induced increased human endothelial cell permeability and heparin-binding protein greater than 30 ng/mL and heparin-binding protein-to-albumin ratio greater than 3.01-but not serum albumin-identified patients at increased risk for acute kidney injury in septic shock.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.042
GPT teacher head0.359
Teacher spread0.317 · 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 designBench or experimental
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

Citations25
Published2018
Admission routes1
Has abstractyes

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