Targeted therapy using polymyxin B hemadsorption in patients with sepsis: a post-hoc analysis of the JSEPTIC-DIC study and the EUPHRATES trial
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Published on: April 18, 2019
Itsuki Osawa1, Tadahiro Goto2,3, Daisuke Kudo4
1Department of Emergency and Critical Care Medicine, The University of Tokyo Hospital, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 1130033, Japan.
Background:
Polymyxin B hemadsorption (PMX-HA) reduces blood endotoxin levels, but characteristics of patients with sepsis likely to benefit from PMX-HA are not well known. We sought to identify patient subgroups likely to benefit from PMX-HA.
Methods:
We retrospectively identified 1911 patients with sepsis from a retrospective observational study in Japan (the JSEPTIC-DIC study) and 286 patients with endotoxemic septic shock from a randomized controlled trial in North America that restricted patients to those with high endotoxin activity (the EUPHRATES trial). We applied the machine learning-based causal forest model to the JSEPTIC-DIC cohort to investigate heterogeneity in treatment effects of PMX-HA on 28-day survival after adjusting for potential confounders and ascertain the best criteria for PMX-HA use. The derived criteria for targeted therapy by PMX-HA were validated using the EUPHRATES trial cohort.
Results:
The causal forest model revealed heterogeneity in treatment effects of PMX-HA. Since patients having higher treatment effects were more likely to have severe coagulopathy and hyperlactatemia, we identified the potential treatment targets of PMX-HA as patients with PT-INR > 1.4 or lactate > 3 mmol/L. In the EUPHRATES trial cohort, PMX-HA use on the targeted subpopulation (75% of all patients) was significantly associated with higher 28-day survival (PMX-HA vs. control, 68% vs. 52%; treatment effect of PMX-HA, + 16% [95% CI + 2.2% to + 30%], p = 0.02).
Conclusions:
Abnormal coagulation and hyperlactatemia in septic patients with high endotoxin activity appear to be helpful to identify patients who may benefit most from PMX-HA. Our findings will inform enrollment criteria for future interventional trials targeting patients with coagulopathy and hyperlactatemia.
Insights
Polymyxin B hemadsorption (PMX-HA) benefits sepsis patients with coagulopathy and hyperlactatemia. Identifying these patients improves treatment effectiveness and survival rates in endotoxemic septic shock.
Area of Science:
- Critical Care Medicine
- Sepsis Pathophysiology
- Machine Learning in Medicine
Background:
- Polymyxin B hemadsorption (PMX-HA) effectively reduces endotoxin levels in sepsis.
- Identifying specific patient subgroups who benefit most from PMX-HA is crucial for optimizing its use.
- Current criteria for PMX-HA application in sepsis are not well-defined.
Purpose of the Study:
- To identify patient subgroups most likely to benefit from Polymyxin B hemadsorption (PMX-HA) in sepsis.
- To investigate heterogeneity in treatment effects of PMX-HA using machine learning.
- To establish criteria for targeted PMX-HA therapy.
Main Methods:
- Retrospective analysis of 1911 sepsis patients (JSEPTIC-DIC study) and 286 endotoxemic septic shock patients (EUPHRATES trial).
- Application of a machine learning-based causal forest model to identify treatment effect heterogeneity.
- Validation of derived criteria for PMX-HA use in an independent cohort.
Main Results:
- Causal forest model identified significant heterogeneity in PMX-HA treatment effects.
- Patients with severe coagulopathy (PT-INR > 1.4) or hyperlactatemia (lactate > 3 mmol/L) showed higher treatment effects.
- In the validated cohort, PMX-HA in the targeted subpopulation (75% of patients) significantly increased 28-day survival (68% vs. 52%, +16% effect).
Conclusions:
- Abnormal coagulation and hyperlactatemia are key indicators for identifying sepsis patients who benefit most from PMX-HA.
- These findings support targeted enrollment criteria for future clinical trials involving PMX-HA.
- Optimizing PMX-HA use in endotoxemic septic shock can improve patient outcomes.
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