P-2237. Mortality and Causative Pathogens of Sepsis Differ by Molecular Phenotype in a Secondary Analysis of MARS

Abstract Background Heterogeneity of host response has been a barrier to identifying novel therapies in sepsis. Two molecular phenotypes of critical illness, called the Hyperinflammatory and Hypoinflammatory, have been identified in multiple cohorts of sepsis and ARDS ( >12,000 patients), with divergent biology, clinical course, and responses to therapy1. We evaluated whether these phenotypes were identifiable in MARS-- a large observational cohort of critically ill patients-- and whether the pathogens present in each phenotype differed. Methods MARS recruited critically ill patients from two Dutch ICUs. Only patients meeting sepsis or ARDS diagnostic criteria were included for this analysis. We applied latent class analysis (LCA) to vital signs, clinical laboratory values, and protein biomarkers from Day 1 of ICU admission in 1,485 patients. LCA models with 1-5 classes were fitted. We assigned class membership using the best fitting model and compared characteristics between classes. The present classes’ overlap with prior phenotypes was evaluated by comparison to an extensively validated parsimonious model,2 trained previously to classify molecular phenotypes. Results A two-class model best fit the cohort (VLMR p< .001), and the parsimonious model and multivariate profiles suggested high overlap (AUC=.929) with previously described ‘Hypoinflammatory’ (Class 1; n=895) and ‘Hyperinflammatory’ (Class 2; n=590) phenotypes (Figure 1). Bacteremia was more prevalent in the Hyperinflammatory phenotype (27.2% vs 7.8%; p< .001), with Enterobacteriaceae as the most prevalent species. For primary infection sites, lower respiratory tract was more common in the Hypoinflammatory (56% vs 36%) and abdomen more common in the Hyperinflammatory phenotype (26% vs 9%). Mortality was significantly higher in the Hyperinflammatory phenotype at both 30 days (OR=2.54, CI95%= 2.003—3.235 ) and 90 days (OR=2.41, CI95% = 1.925—3.016; both p< .001). Conclusion In MARS, we identified the previously described Hypo- and Hyperinflammatory phenotypes with divergent host response, pathogen profiles, and outcomes. These findings suggest that host phenotype signatures in part may be driven by sites of infection and pathogen species. Disclosures Lieuwe D.J. Bos, MD-PhD, Astra Zeneca: Advisor/Consultant|CSL Behring: Advisor/Consultant|Impentri: Advisor/Consultant|Novartis: Advisor/Consultant|Scailyte: Advisor/Consultant|Sobi: Advisor/Consultant Pratik Sinha, MBChB/PhD, AstraZeneca: Advisor/Consultant|Prenosis Inc: Board Member Carolyn S. Calfee, MD, Cellenkos: Advisor/Consultant|Gen1e Life Sciences: Advisor/Consultant|Janssen: Advisor/Consultant|NGMBio: Advisor/Consultant|Santhera: Advisor/Consultant|Vasomune: Advisor/Consultant

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Publication Details

Journal
Open Forum Infectious Diseases
Published
2025-01-29
DOI
https://doi.org/10.1093/ofid/ofae631.2390
Citations
1
Primary Topic
Traditional Chinese Medicine Studies
Type
article
Field-Weighted Citation Impact
2.38
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article

P-2237. Mortality and Causative Pathogens of Sepsis Differ by Molecular Phenotype in a Secondary Analysis of MARS

Brian Bartek, Rombout B. E. van Amstel, Tom van der Poll, Lieuwe D. J. Bos et al.
1 citations
Open Forum Infectious Diseases
Traditional Chinese Medicine Studies
2.38
article

P-2237. Mortality and Causative Pathogens of Sepsis Differ by Molecular Phenotype in a Secondary Analysis of MARS

Brian Bartek, Rombout B. E. van Amstel, Tom van der Poll, Lieuwe D. J. Bos, Pratik Sinha, Manoj V. Maddali, Carolyn S. Calfee, Olaf L. Cremer
article en
1 citations

Abstract

Abstract Background Heterogeneity of host response has been a barrier to identifying novel therapies in sepsis. Two molecular phenotypes of critical illness, called the Hyperinflammatory and Hypoinflammatory, have been identified in multiple cohorts of sepsis and ARDS ( >12,000 patients), with divergent biology, clinical course, and responses to therapy1. We evaluated whether these phenotypes were identifiable in MARS-- a large observational cohort of critically ill patients-- and whether the pathogens present in each phenotype differed. Methods MARS recruited critically ill patients from two Dutch ICUs. Only patients meeting sepsis or ARDS diagnostic criteria were included for this analysis. We applied latent class analysis (LCA) to vital signs, clinical laboratory values, and protein biomarkers from Day 1 of ICU admission in 1,485 patients. LCA models with 1-5 classes were fitted. We assigned class membership using the best fitting model and compared characteristics between classes. The present classes’ overlap with prior phenotypes was evaluated by comparison to an extensively validated parsimonious model,2 trained previously to classify molecular phenotypes. Results A two-class model best fit the cohort (VLMR p< .001), and the parsimonious model and multivariate profiles suggested high overlap (AUC=.929) with previously described ‘Hypoinflammatory’ (Class 1; n=895) and ‘Hyperinflammatory’ (Class 2; n=590) phenotypes (Figure 1). Bacteremia was more prevalent in the Hyperinflammatory phenotype (27.2% vs 7.8%; p< .001), with Enterobacteriaceae as the most prevalent species. For primary infection sites, lower respiratory tract was more common in the Hypoinflammatory (56% vs 36%) and abdomen more common in the Hyperinflammatory phenotype (26% vs 9%). Mortality was significantly higher in the Hyperinflammatory phenotype at both 30 days (OR=2.54, CI95%= 2.003—3.235 ) and 90 days (OR=2.41, CI95% = 1.925—3.016; both p< .001). Conclusion In MARS, we identified the previously described Hypo- and Hyperinflammatory phenotypes with divergent host response, pathogen profiles, and outcomes. These findings suggest that host phenotype signatures in part may be driven by sites of infection and pathogen species. Disclosures Lieuwe D.J. Bos, MD-PhD, Astra Zeneca: Advisor/Consultant|CSL Behring: Advisor/Consultant|Impentri: Advisor/Consultant|Novartis: Advisor/Consultant|Scailyte: Advisor/Consultant|Sobi: Advisor/Consultant Pratik Sinha, MBChB/PhD, AstraZeneca: Advisor/Consultant|Prenosis Inc: Board Member Carolyn S. Calfee, MD, Cellenkos: Advisor/Consultant|Gen1e Life Sciences: Advisor/Consultant|Janssen: Advisor/Consultant|NGMBio: Advisor/Consultant|Santhera: Advisor/Consultant|Vasomune: Advisor/Consultant

Open Forum Infectious DiseasesVol. 12(Supplement_1)
University of California, San Francisco (US), Washington University in St. Louis (US), Mahidol University (TH), University Medical Center Utrecht (NL), Amsterdam University Medical Centers (NL), University of Amsterdam (NL), Stanford University (US)
Openalex Percentile: Top 16%
Traditional Chinese Medicine Studies
2.38
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