Predicting successful weaning from VA-ECMO in cardiogenic shock using a differentially expressed soluble factor score (DeSF-Score)

Weaning from venoarterial extracorporeal membrane oxygenation (VA-ECMO) in patients with cardiogenic shock remains a major challenge in intensive care practice. Previous studies have explored cytokines and chemokines as potential predictors of weaning outcomes, often using limited biomarker panels and relatively small cohorts. We therefore evaluated whether patterns of soluble circulating factors could predict successful ECMO weaning in patients with cardiogenic shock. Additional tools that provide complementary biological information may improve early risk stratification during the weaning process. In this retrospective cohort study, we analyzed 247 adult patients with cardiogenic shock who received VA-ECMO support. Patients were randomly allocated to a derivation cohort (70%) and an internal validation cohort (30%). Plasma levels of 14 differentially expressed soluble factors were measured within the Day1 of ECMO support, and a composite differentially expressed soluble factors score (DeSF-Score) was constructed. The predictive performance of DeSF-Score components for successful ECMO weaning was assessed and compared with conventional clinical parameters. Patients who failed VA-ECMO weaning exhibited significantly higher DeSF-Scores than those who were successfully weaned ( P < 0.05). The DeSF-Score1, comprising soluble B and T lymphocyte attenuator (sBTLA), IL-10, CCL2, IL-6, and IL-8, demonstrated the strongest discriminatory ability (derivation cohort AUC = 0.725, 95% CI 0.642–0.808) for weaning outcomes and outperformed individual soluble factors. These findings were consistently observed in the internal validation cohort (AUC = 0.708, 95% CI 0.577–0.838). DeSF-Score1 remained independently associated with weaning failure after adjustment for age, Sequential Organ Failure Assessment score, and arterial lactate levels. The addition of DeSF-Score1 provided incremental prognostic value beyond conventional clinical indicators (combined AUC = 0.768, 95% CI 0.700–0.890). The DeSF-Score1, reflecting a systemic immune-inflammatory signature, independently predicts successful weaning from VA-ECMO in patients with cardiogenic shock. This biological score complements established clinical assessments, offering a novel tool for precision risk stratification during the critical phase of ECMO support. Trial Registration This observational study was registered on ClinicalTrials.gov on November 7, 2019 (NCT04158479).

Authors

Institutions

Publication Details

Journal
European journal of medical research
Published
2026-07-02
DOI
https://doi.org/10.1186/s40001-026-04809-8
Primary Topic
Mechanical Circulatory Support Devices
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting successful weaning from VA-ECMO in cardiogenic shock using a differentially expressed soluble factor score (DeSF-Score)

J Q Chen, Junyan Han, Zi Wang, Hong Wang et al.
European journal of medical research
Mechanical Circulatory Support Devices
article

Predicting successful weaning from VA-ECMO in cardiogenic shock using a differentially expressed soluble factor score (DeSF-Score)

J Q Chen, Junyan Han, Zi Wang, Hong Wang, Jiarui Li, Yan Jiang, Liangshan Wang, Cao Y, Xiaotong Hou, Chenglong Li, Ju Zhang, Haoyu Ji, Chengcheng Shao, Chen Chen, Hui Zeng, Jin Li, Xing Hao
article en

Abstract

Weaning from venoarterial extracorporeal membrane oxygenation (VA-ECMO) in patients with cardiogenic shock remains a major challenge in intensive care practice. Previous studies have explored cytokines and chemokines as potential predictors of weaning outcomes, often using limited biomarker panels and relatively small cohorts. We therefore evaluated whether patterns of soluble circulating factors could predict successful ECMO weaning in patients with cardiogenic shock. Additional tools that provide complementary biological information may improve early risk stratification during the weaning process. In this retrospective cohort study, we analyzed 247 adult patients with cardiogenic shock who received VA-ECMO support. Patients were randomly allocated to a derivation cohort (70%) and an internal validation cohort (30%). Plasma levels of 14 differentially expressed soluble factors were measured within the Day1 of ECMO support, and a composite differentially expressed soluble factors score (DeSF-Score) was constructed. The predictive performance of DeSF-Score components for successful ECMO weaning was assessed and compared with conventional clinical parameters. Patients who failed VA-ECMO weaning exhibited significantly higher DeSF-Scores than those who were successfully weaned ( P < 0.05). The DeSF-Score1, comprising soluble B and T lymphocyte attenuator (sBTLA), IL-10, CCL2, IL-6, and IL-8, demonstrated the strongest discriminatory ability (derivation cohort AUC = 0.725, 95% CI 0.642–0.808) for weaning outcomes and outperformed individual soluble factors. These findings were consistently observed in the internal validation cohort (AUC = 0.708, 95% CI 0.577–0.838). DeSF-Score1 remained independently associated with weaning failure after adjustment for age, Sequential Organ Failure Assessment score, and arterial lactate levels. The addition of DeSF-Score1 provided incremental prognostic value beyond conventional clinical indicators (combined AUC = 0.768, 95% CI 0.700–0.890). The DeSF-Score1, reflecting a systemic immune-inflammatory signature, independently predicts successful weaning from VA-ECMO in patients with cardiogenic shock. This biological score complements established clinical assessments, offering a novel tool for precision risk stratification during the critical phase of ECMO support. Trial Registration This observational study was registered on ClinicalTrials.gov on November 7, 2019 (NCT04158479).

European journal of medical research
Capital Medical University (CN), Beijing Anzhen Hospital (CN), Beijing Shijitan Hospital (CN)
National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 14%
Mechanical Circulatory Support Devices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.