Temporal Transitions of the Hyperinflammatory and Hypoinflammatory Phenotypes in Critical Illness

<b>Rationale:</b> Systemic molecular phenotypes of critical illness are prognostically informative, yet their temporal kinetics and implications of changing phenotypes remain incompletely understood. <b>Objectives:</b> To determine the temporal nature of the Hyperinflammatory and Hypoinflammatory phenotypes and assess the impact of transition between the phenotypes on mortality. <b>Methods:</b> We used data from one prospective observational cohort (MARS [Molecular Diagnosis and Risk Stratification of Sepsis]) and two randomized controlled trials in acute respiratory distress syndrome (ALVEOLI [Assessment of Low Tidal Volume and Elevated End-Expiratory Pressure to Obviate Lung Injury]) and sepsis (CLOVERS [Crystalloid Liberal or Vasopressors Early Resuscitation in Sepsis]). Critically ill patients with biomarkers available at multiple time points (Days 0-4) were included. We used a validated classifier model incorporating plasma IL-8, protein C, and serum bicarbonate to assign phenotypes on each day. We determined the association of longitudinal phenotype transition and 90-day all-cause mortality. <b>Measurements and Main Results:</b> Data from 2,407, 527, and 868 patients were included in MARS, ALVEOLI, and CLOVERS, respectively. In MARS, 36.0% were classified by the parsimonious model as Hyperinflammatory at Day 0, decreasing to 15.6% by Day 2 and 6.3% by Day 4. In ALVEOLI and CLOVERS, 26.4% and 24.8% of patients were Hyperinflammatory at Day 0, decreasing to 13.4% and 5.7% at Day 3, respectively. In all three cohorts, switching classification from Hyperinflammatory (Day 0) to Hypoinflammatory over time was associated with significantly improved mortality compared with persistently Hyperinflammatory patients. Mediation analysis indicated that only a minor proportion of this improvement could be attributed to ameliorating organ failure. <b>Conclusions:</b> The prevalence of the Hyperinflammatory phenotype, as assigned using a parsimonious biomarker classifier model, decreases over the first several days of critical illness, irrespective of acute respiratory distress syndrome diagnosis. The transition from Hyperinflammatory to Hypoinflammatory mediates a trajectory toward recovery beyond the resolution of organ failure.

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Publication Details

Journal
American Journal of Respiratory and Critical Care Medicine
Published
2024-12-06
DOI
https://doi.org/10.1164/rccm.202406-1241oc
Citations
31
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
11.99

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article

Temporal Transitions of the Hyperinflammatory and Hypoinflammatory Phenotypes in Critical Illness

Elizabeth Gay, Brian Bartek, Rombout B. E. van Amstel, Nathan Ivan Shapiro et al.
31 citations
American Journal of Respiratory and Critical Care Medicine
Sepsis Diagnosis and Treatment
11.99
article

Temporal Transitions of the Hyperinflammatory and Hypoinflammatory Phenotypes in Critical Illness

Elizabeth Gay, Brian Bartek, Rombout B. E. van Amstel, Nathan Ivan Shapiro, Tom van der Poll, Lieuwe D. J. Bos, Pratik Sinha, Michael A. Matthay, Lonneke A. van Vught, Carolyn S. Calfee, Alexander P. J. Vlaar, Olaf L. Cremer
article en
31 citations

Abstract

<b>Rationale:</b> Systemic molecular phenotypes of critical illness are prognostically informative, yet their temporal kinetics and implications of changing phenotypes remain incompletely understood. <b>Objectives:</b> To determine the temporal nature of the Hyperinflammatory and Hypoinflammatory phenotypes and assess the impact of transition between the phenotypes on mortality. <b>Methods:</b> We used data from one prospective observational cohort (MARS [Molecular Diagnosis and Risk Stratification of Sepsis]) and two randomized controlled trials in acute respiratory distress syndrome (ALVEOLI [Assessment of Low Tidal Volume and Elevated End-Expiratory Pressure to Obviate Lung Injury]) and sepsis (CLOVERS [Crystalloid Liberal or Vasopressors Early Resuscitation in Sepsis]). Critically ill patients with biomarkers available at multiple time points (Days 0-4) were included. We used a validated classifier model incorporating plasma IL-8, protein C, and serum bicarbonate to assign phenotypes on each day. We determined the association of longitudinal phenotype transition and 90-day all-cause mortality. <b>Measurements and Main Results:</b> Data from 2,407, 527, and 868 patients were included in MARS, ALVEOLI, and CLOVERS, respectively. In MARS, 36.0% were classified by the parsimonious model as Hyperinflammatory at Day 0, decreasing to 15.6% by Day 2 and 6.3% by Day 4. In ALVEOLI and CLOVERS, 26.4% and 24.8% of patients were Hyperinflammatory at Day 0, decreasing to 13.4% and 5.7% at Day 3, respectively. In all three cohorts, switching classification from Hyperinflammatory (Day 0) to Hypoinflammatory over time was associated with significantly improved mortality compared with persistently Hyperinflammatory patients. Mediation analysis indicated that only a minor proportion of this improvement could be attributed to ameliorating organ failure. <b>Conclusions:</b> The prevalence of the Hyperinflammatory phenotype, as assigned using a parsimonious biomarker classifier model, decreases over the first several days of critical illness, irrespective of acute respiratory distress syndrome diagnosis. The transition from Hyperinflammatory to Hypoinflammatory mediates a trajectory toward recovery beyond the resolution of organ failure.

American Journal of Respiratory and Critical Care MedicineVol. 211(3)
Beth Israel Deaconess Medical Center (US), University of California, San Francisco (US), Washington University in St. Louis (US), University Medical Center Utrecht (NL), Amsterdam University Medical Centers (NL), University of San Francisco (US)
European Respiratory Society, ZonMw, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Lung Foundation Netherlands, National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of General Medical Sciences
Openalex Percentile: Top 1%
Sepsis Diagnosis and Treatment
11.99
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