High plasma IL-18 identifies high-risk ARDS patients not identified by latent class analysis sub-phenotyping: a secondary analysis of the SAILS and HARP-2 studies

Author:

Moore Andrew R1,Pienkos Shaun M1,Sinha Pratik2,Guan Jiazhen3,O’Kane Cecilia M4,Levitt Joseph E1,Wilson Jennifer G1,Shankar-Hari Manu5,Matthay Michael A6,Calfee Carolyn S6,Baron Rebecca M7,McAuley Daniel F4,Rogers Angela J1

Affiliation:

1. Stanford University

2. Washington University in St. Louis

3. Harvard Medical School

4. Queen's University of Belfast

5. The Queen's Medical Research Institute

6. University of California

7. Brigham and Women's Hospital

Abstract

Abstract Background: Both latent class analysis (LCA) assignment based upon a panel of plasma biomarkers and interleukin-18 (IL-18) plasma level have been shown to predict prognosis and treatment response in Acute Respiratory Distress Syndrome (ARDS). Interleukin-18 is a measure of inflammasome activation and plays a distinct role in inflammation that is not captured by the biomarkers used in LCA assignments. We hypothesized that elevated IL-18 would provide additive prognostic and therapeutic information to previously published LCA assignments in ARDS, identifying additional “high-risk” patients not captured by LCA who could be eligible for inclusion in future precision medicine-focused trials. Methods: IL-18 and a panel of protein markers used for LCA had been previously measured in plasma from 683/745 patients in the Statins for Acutely Injured Lungs from Sepsis (SAILS) and 511/540 patients in the Hydroxymethylglutaryl-CoA reductase inhibition with simvastatin in Acute lung injury to Reduce Pulmonary dysfunction (HARP-2) trials. We tested the association between high IL-18 (>800 pg/mL) and LCA class assignment using McNemar’s test and evaluated the association of each subgrouping as well as treatment with 60-day mortality using Fisher’s exact test. We assessed 60-day mortality in each combination (high/low IL-18, hypo-/hyper-inflammatory LCA class, and treatment/placebo) using Kaplan-Meier survival analysis. We evaluated the correlation between the log2 transformed IL-18 level and LCA biomarkers using Pearson’s correlation coefficient. Results: 33% of patients in SAILS and HARP-2 were discordant by IL-18 level and LCA class. Elevated IL-18 identified a high-risk group of individuals previously classified as hypo-inflammatory by LCA in both SAILS (OR 3.3, 95% CI 1.8-6.1, p<0.001) and HARP-2 (OR 2.1, 95% CI 1.2-3.8, p = 0.009). IL-18 was only moderately correlated with LCA biomarkers with r of 0.17-0.47. Conclusions: High Plasma IL-18 level provides additional prognostic information to LCA sub-phenotypes in two large ARDS cohorts.

Publisher

Research Square Platform LLC

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