Temporal robustness of biomarker-based classification algorithms for sepsis
Authors' conclusion
Sepsis patients were frequently reclassified across immune profiles over short intervals, with approximately one-third of subgroup peers changing at each timepoint.
Study context
- Population
- Sepsis patients in two ICU cohorts; 30 immune biomarkers measured every 8 h for up to 7 days
- Participants
- 345 patients · 2 ICU cohorts
- Exposure
- Profile A vs Profile B vs Profile C
- Profile An = 149
- Profile Bn = 60
- Profile Cn = 136
- Outcome
- Temporal robustness of immune profiles: inter-class transition rates and intra-class cohesion (Rand Index)
Methodological detailstwo ICU cohorts, latent profile analysis, serial biomarker measurement
- Two ICU cohorts
- Latent profile analysis
- Serial biomarker measurement
Main finding
As reported in the abstract
Temporal robustness: inter-class transitions (share of all 8-hourly transitions) and intra-class cohesion (RI) · every 8 h for up to 7 days
Profile B
39%
- Intra-class cohesion across intervals poor (median Rand Index (RI), IQR 62-64%); patients classified together at admission did not remain consistently together
- 65%
Observational data: associations, not effects.
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
Temporal robustness of biomarker-based classification algorithms for sepsis. Intensive Care Med. Published 1 December 2025. doi:10.
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