Sepsis & infection

Investigating Fibrinolysis Resistance in Sepsis Using High‐Multiplex Plasma Proteomics: A Statistical Analysis Plan

Acta Anaesthesiol ScandPublished Statistical analysis plan

Study context

Population
Critically ill patients with sepsiscritically ill patients with sepsis, 89 samples collected serially
Participants
32 patients
Planned comparison
Protein associations with TPA-LT/FIBA10 across the fibrinolysis resistance severity continuum, between three ordinal severity grades, and over time within individual patients
Methodological detailspre-specified, serial sampling, high-multiplex plasma proteomics
  • Pre-specified
  • Serial sampling
  • High-multiplex plasma proteomics

No results yet. This paper sets out the design of a trial; its results are to come.

Further findings

Planned analytic framework

Five complementary approaches: limit-of-detection-based data filtering, limma-trend regression against TPA-LT/FIBA10, empirical Bayes moderated statistics across severity grades, linear mixed-effects modelling of longitudinal intra-patient trajectories, pathway-level enrichment analysis
Semi-supervised pathway clustering analysis in eight a priori defined domains
Olink Explore HT platform (≈5400 proteins)
  • No results reported; analysis plan only

Original publication

Investigating Fibrinolysis Resistance in Sepsis Using High‐Multiplex Plasma Proteomics: A Statistical Analysis Plan. Acta Anaesthesiol Scand. Published 15 October 2026. doi:10.1111/aas.70358

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