# Therapeutic Plasma Exchange in COVID-19-Associated Sepsis: IL-6 Dynamics, Inflammatory Phenotypes, and Short-Term Organ-Failure Trajectories in a Real-World Cohort

**Authors:** Nicoleta Sgavardea, Dorel Sandesc, Tamara Mirela Porosnicu, Ovidiu Bedreag, Ciprian Gîndac, Marius Papurica, Elena Hogea, Patricia Hogea, Iulia Georgiana Bogdan, Voichita Elena Lazureanu

PMC · DOI: 10.3390/jcm15010010 · Journal of Clinical Medicine · 2025-12-19

## TL;DR

This study examines how therapeutic plasma exchange affects inflammation and organ failure in severe COVID-19 patients, finding limited short-term clinical benefits despite biochemical improvements.

## Contribution

The paper introduces a real-world analysis of TPE in COVID-19 sepsis, identifying inflammatory phenotypes and their response to treatment intensity.

## Key findings

- IL-6 levels decreased after TPE, but the reduction was not significantly different across treatment intensity groups.
- D-dimer levels dropped significantly only in patients receiving a single TPE session.
- A hyperinflammatory–thrombotic patient cluster showed higher IL-6 and more TPE sessions but no survival benefit.

## Abstract

Background and Objectives: In severe COVID-19-associated sepsis, therapeutic plasma exchange (TPE) is used as a rescue strategy to modulate cytokine and coagulation derangements, but its biomarker and organ-failure effects remain incompletely characterised. We evaluated peri-procedural changes in interleukin-6 (IL-6), other inflammatory markers, and Sequential Organ Failure Assessment (SOFA) scores according to TPE intensity, timing, and inflammatory phenotypes. Methods: We conducted a single-centre retrospective cohort study including 102 mechanically ventilated adults with COVID-19-associated sepsis who received ≥1 TPE session. Patients were grouped by number of sessions (1, 2, ≥3), timing (≤14 vs. >14 days from symptom onset), IL-6 responder status (≥50% reduction), and two unsupervised inflammatory–thrombotic clusters. Peri-procedural changes (Δ) in biomarkers and SOFA were compared using non-parametric tests, with multivariable logistic and linear regression exploring predictors of IL-6 response and ΔSOFA. Results: Baseline severity was similar across TPE-intensity groups, with median APACHE II scores of 11–12 and SOFA scores around 7 in all strata. Median IL-6 concentrations declined after TPE in each group (e.g., Δ −59.4 pg/mL after 1 session and Δ −65.1 pg/mL after ≥3 sessions), but between-group differences in ΔIL-6 were not statistically significant (p = 0.276). By contrast, D-dimer exhibited a marked decline only in the 1-session group (median Δ −1.7 mg/L vs. ~0.0 mg/L in the 2- and ≥3-session groups; p < 0.001). Timing (early vs. late TPE) did not materially affect ΔIL-6, ΔCRP, ΔSOFA (median 0.0 in both), or ΔD-dimer. Overall, 50% of patients were IL-6 responders; baseline IL-6 was the only independent predictor (adjusted OR 1.9 per doubling, 95% CI 1.3–2.8). A hyperinflammatory–thrombotic cluster (n = 44) exhibited higher baseline IL-6 (612.3 vs. 92.4 pg/mL), more ≥3-session TPE (65.9% vs. 29.3%), and higher IL-6 responder rates (75.0% vs. 31.0%), but similar 28-day mortality (40.9% vs. 29.3%). Conclusions: In this real-world TPE programme, biochemical improvements—particularly IL-6 and D-dimer reductions in hyperinflammatory–thrombotic patients—were not consistently accompanied by short-term SOFA or survival benefits, underscoring the need for phenotype-guided and trial-based use.

## Linked entities

- **Proteins:** IL6 (interleukin 6), IL6 (interleukin 6)
- **Diseases:** COVID-19 (MONDO:0100096)
- **Species:** Homo sapiens (taxon 9606)

## Full-text entities

- **Genes:** IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}
- **Diseases:** thrombotic (MESH:D013927), Sepsis (MESH:D018805), Organ Failure (MESH:D009102), coagulation derangements (MESH:D001778), COVID-19 (MESH:D000086382), Inflammatory (MESH:D007249)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12786558/full.md

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12786558/full.md

## References

22 references — full list in the complete paper: https://tomesphere.com/paper/PMC12786558/full.md

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Source: https://tomesphere.com/paper/PMC12786558