Predictive enrichment using biomarkers in studies of critically-ill patients with sepsis: a systematic review - Scorecard - MDSpire

Predictive enrichment using biomarkers in studies of critically-ill patients with sepsis: a systematic review

  • By

  • Logan R. Van Nynatten

  • Diyaa Bokhary

  • Michelle Yee Suet Wong

  • Jocelyn Wang

  • Henri Fero

  • Christopher McChesney

  • Kyle Fiorini

  • Leann Blake

  • Douglas D. Fraser

  • Marat Slessarev

  • Aleksandra Leligdowicz

  • Bram Rochwerg

  • John Basmaji

  • November 27, 2025

  • 0 min

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Clinical Scorecard: Biomarker-Based Predictive Enrichment in Research Involving Critically Ill Sepsis Patients: A Systematic Review

At a Glance

CategoryDetail
ConditionSepsis and septic shock in critically ill patients
Key MechanismsBiomarker-based predictive enrichment to identify patient subphenotypes with differential treatment responses
Target PopulationAdult critically ill patients with sepsis or septic shock meeting Sepsis II or III criteria
Care SettingIntensive Care Units (ICU)

Key Highlights

  • Sepsis mortality remains high (30–50%) despite advances in supportive care and numerous RCTs.
  • Heterogeneity of treatment effect (HTE) in sepsis populations dilutes therapeutic efficacy signals in trials.
  • Predictive enrichment using biomarkers (genomic, transcriptomic, proteomic, metabolomic) can identify subgroups more likely to benefit from targeted interventions.

Guideline-Based Recommendations

Diagnosis

  • Use blood-based biomarkers measured at enrollment to identify biologically distinct sepsis subphenotypes.
  • Apply Sepsis II or III criteria to define eligible critically ill adult patients.

Management

  • Incorporate predictive enrichment strategies in clinical trials to selectively randomize patients likely to respond to specific therapies.
  • Leverage biomarker profiles aligned with sepsis pathobiology to guide intervention selection.

Monitoring & Follow-up

  • Monitor biomarker levels at trial enrollment to confirm eligibility and stratify patients.
  • Assess primary outcomes within enriched subgroups to evaluate treatment efficacy.

Risks

  • Failure to account for heterogeneity of treatment effect may lead to negative trial results and missed therapeutic benefits.
  • Limited adoption of predictive enrichment may perpetuate ineffective broad-spectrum sepsis therapies.

Patient & Prescribing Data

Critically ill adult patients with sepsis or septic shock enrolled in RCTs using biomarker-based predictive enrichment

Targeted therapies may demonstrate improved efficacy when administered to biomarker-enriched subgroups, as evidenced by analogous successes in oncology and other fields.

Clinical Best Practices

  • Design RCTs incorporating biomarker-based predictive enrichment to address heterogeneity in sepsis treatment response.
  • Select biomarkers that reflect underlying sepsis pathobiology and have validated measurement methods.
  • Use standardized sepsis definitions and rigorous trial methodologies including randomization and blinding.
  • Engage multidisciplinary teams including health information specialists for comprehensive literature searches and data extraction.
  • Report biomarker thresholds and rationale transparently to facilitate reproducibility and clinical translation.

References

Original Source(s)

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