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BACKGROUND: Thrombosis remains a critical complication during venovenous extracorporeal membrane oxygenation (VV ECMO). The involvement of neutrophil extracellular traps (NETs) in thrombogenesis has to be discussed. The aim was to verify NETs in the form of cell-free DNA (cfDNA) in the plasma of patients during ECMO.
METHODS: A fluorescent DNA-binding dye (QuantifFluor®, Promega) was used to detect cell-free DNA in plasma samples. cfDNA concentrations from volunteers (n = 21) and patients (n = 9) were compared and correlated with clinical/technical data before/during support, ECMO end and time of a system exchange.
RESULTS: Before ECMO, patients with a median (IQR) age of 59 (51/63) years, SOFA score of 11 (10/15), and ECMO run time of 9.0 (7.0/19.5) days presented significantly higher levels of cfDNA compared to volunteers (6.4 (5.8/7.9) ng/μL vs. 5.9 (5.4/6.3) ng/μL; p = 0.044). Within 2 days after ECMO start, cfDNA, inflammatory, and hemolysis parameters remained unchanged, while platelets decreased (p = 0.005). After ECMO removal at the end of therapy, cfDNA, inflammation, and coagulation data (except antithrombin III) remained unchanged. The renewal of a system resulted in known alterations in fibrinogen, d-dimers, and platelets, while cfDNA remained unchanged.
CONCLUSION: Detection of cfDNA in plasma of ECMO patients was not an indicator of acute and circuit-induced thrombogenesis.
Neutrophil extracellular traps (NETs) have recently emerged as a potential link between inflammation, immunity, and thrombosis, as well as other coagulation disorders which present a major challenge in the context of extracorporeal membrane oxygenation (ECMO). By examining blood from ECMO patients for NETs and their precursors and correlating them with clinical and laboratory biomarkers of coagulation and inflammation, this study aims to evaluate the association between the presence of NETs in the bloodstream of ECMO patients and the development of potentially severe coagulation disorders during ECMO therapy.
Therefore, blood samples were collected from healthy volunteers (n=13) and patients receiving veno-venous (VV) ECMO therapy (n=10). To identify NETs and their precursors, DNA and myeloperoxidase as well as granulocyte marker CD66b were visualized simultaneously by immunofluorescence staining in serial blood smears. Differentiation of DNA-containing objects and identification of NETs and their precursors was performed semiautomatically by a specific algorithm using the shape and size of DNA staining and the intensity of MPO and CD66b signal.
Neutrophil extracellular traps and their precursors could be detected in blood smears from patients requiring VV ECMO. Compared to volunteers, ECMO patients presented significantly higher rates of NETs and NET precursors as well as an increased proportion of neutrophil granulocytes in all detected nucleated cells. A high NET rate prior to the initiation of ECMO therapy was associated with both increased iL-6 and TNF-α levels as an expression of a high cytokine burden. These patients with increased NET release also presented an earlier and significantly more pronounced decrease in platelet counts and ATIII activity following initiation of therapy compared with patients with less elevated NETs. These findings provide further indications for the development of immune-mediated acquired thrombocytopenia in ECMO patients.
Extracorporeal membrane oxygenation (ECMO) was established as a treatment for severe cardiac or respiratory disease. Intra-device clot formation is a common risk. This is based on complex coagulation phenomena which are not yet sufficiently understood. The objective was the development and validation of a methodology to capture the key properties of clots deposed in membrane lungs (MLs), such as clot size, distribution, burden, and composition. One end-oftherapy PLS ML was examined. Clot detection was performed using multidetector computed tomography (MDCT), microcomputed tomography (μCT), and photography of fiber mats (fiber mat imaging, FMI). Histological staining was conducted for von Willebrand factor (vWF), platelets (CD42b, CD62P), fibrin, and nucleated cells (4′, 6-diamidino-2-phenylindole, DAPI). The three imaging
methods showed similar clot distribution inside the ML. Independent of the imaging method, clot loading was detected predominantly in the inlet chamber of the ML. The μCT had the highest accuracy. However, it was more expensive and time consuming than MDCT or FMI. The MDCT detected the clots with low scanning time. Due to its lower resolution, it only showed clotted areas but not
the exact shape of clot structures. FMI represented the simplest variant, requiring little effort and resources. FMI allowed clot localization and calculation of clot volume. Histological evaluation indicated omnipresent immunological deposits throughout the ML. Visually clot-free areas were covered with leukocytes and platelets forming platelet-leukocyte aggregates (PLAs). Cells were embedded in vWF cobwebs, while vWF fibers were negligible. In conclusion, the presented
methodology allowed adequate clot identification and histological classification
of possible thrombosis markers such as PLAs.
Thrombus formation within extracorporeal membrane oxygenation (ECMO) devices remained a critical complication. One reason seems to be the contact of blood with large artificial surfaces within the membrane lung (ML). The aim was to test the hemocompatibility of different naïve ECMO materials. Blood and platelets from five healthy volunteers were incubated with gas exchange (GF) and heat exchange fibers (HE) from four different commercial available new MLs representing different antithrombogenic coatings. Adherent platelets were stained with rhodamine-phalloidin. Surface coverage was quantified with ImageJ. Non-adherent platelets were stained with antibodies (CD62P, PAC-1, CD61) and fibrinogen to detect platelet activation with flow cytometry. Hemolysis of red blood cells after material contact was detected. All ECMO-materials were non-hemolytic and did not induce platelet activation. However, platetelet adhesion (median (IQR)) was significantly elevated on uncoated GFs made of polymethylpentene (GF-PMP; 12 (7-19)%) and on GFs from the Hilite-MLs (GF-Hilite; 13 ((8-19)%) compared to the other materials. In vitro testing of platelet adhesion disclosed significant differences of ECMO-materials with different antithrombogenic surface coatings. Instead, circulating platelets remained non-activated. ECMO-materials and its coatings were non-hemolytic. Finally, this study confirmed the good hemocompatibility of GFs and HEs from commerciall available MLs.
Neutrophil extracellular traps (NETs) were detected in blood samples and in cellular deposits of oxygenator membranes during extracorporeal membrane oxygenation (ECMO) therapy and may be responsible for thrombogenesis. The aim was to evaluate the effect of the base material of gas fiber (GF, polymethylpentene) and heat exchange (HE) membranes and different antithrombogenic coatings on isolated granulocytes from healthy volunteers under static culture conditions. Contact of granulocytes with membranes from different ECMO oxygenators (with different surface coatings) and uncoated-GFs allowed detection of adherent cells and NETotic nuclear structures (normal, swollen, ruptured) using nuclear staining. Flow cytometry was used to identify cell activation (CD11b/CD62L, oxidative burst) of non-adherent cells. Uncoated-GFs were used as a reference. Within 3 h, granulocytes adhered to the same extent on all surfaces. In contrast, the ratio of normal to NETotic cells was significantly higher for uncoated-GFs (56-83%) compared to all coated GFs (34-72%) (p < 0.001) with no difference between the coatings. After material contact, non-adherent cells remained vital with unchanged oxidative burst function and the proportion of activated cells remained low. The expression of activation markers was independent of the origin of the GF material. In conclusion, the polymethylpentene surfaces of the GFs already induce NET formation. Antithrombogenic coatings can already reduce the proportion of NETotic nuclei. However, it cannot be ruled out that NET formation can induce thrombotic events. Therefore, new surfaces or coatings are required for future ECMO systems and long-term implantable artificial lungs.
Contact of blood with artificial surfaces triggers platelet activation. The aim was to compare platelet kinetics after venovenous extracorporeal membrane oxygenation (V-V ECMO) start and after system exchange in different etiologies of acute lung failure. Platelet counts and coagulation parameters were analyzed from adult patients with long and exchange-free (≥8 days) ECMO runs (n = 330) caused by bacterial (n = 142), viral (n = 76), or coronavirus disease 2019 (COVID-19) (n = 112) pneumonia. A subpopulation requiring a system exchange and with long, exchange-free runs of the second oxygenator (≥7 days) (n = 110) was analyzed analogously. Patients with COVID-19 showed the highest platelet levels before ECMO implantation. Independent of the underlying disease and ECMO type, platelet counts decreased significantly within 24 hours and reached a steady state after 5 days. In the subpopulation, at the day of a system exchange, platelet counts were lower compared with ECMO start, but without differences between underlying diseases. Subsequently, platelets remained unchanged in the bacterial pneumonia group, but increased in the COVID-19 and viral pneumonia groups within 2–4 days, whereas D-dimers decreased and fibrinogen levels increased. Thus, overall platelet counts on V-V ECMO show disease-specific initial dynamics followed by an ongoing consumption by the ECMO device, which is not boosted by new artificial surfaces after a system exchange.
Thrombosis continues to be a significant complication during venovenous extracorporeal membrane oxygenation (V-V ECMO). Platelet activation markers might serve as indicators of inflammation and thrombogenesis. The aim was to identify these markers in ECMO patients. Blood from 10 ECMO patients (before, during, after ECMO) and 11 healthy volunteers were collected to determine platelet-neutrophil-aggregates (PNAs), platelet-monocyte-aggregates (PMAs), fibrinogen-binding, and P-selectin-expression on platelets by flow cytometry. Critical illness was associated with significantly elevated levels of PNAs and PMAs, increased P-selectin expression, reduced fibrinogen-binding, and restricted activation of platelets. Although PNAs and PMAs decreased significantly within 2 hours after the initiation of ECMO and remained at those levels, ECMO did not affect basal P-selectin expression and fibrinogen-binding. These results correlated with coagulation activation. Platelet markers before ECMO were not indicators for an imminent system exchange and end of therapy. In conclusion, platelet dysfunction during ECMO was mainly attributed to the critical illness. Extracorporeal membrane oxygenation support strengthened the restricted response of platelets to exogenous agonists (P-selectin). Furthermore, a decrease in PNAs/PMAs after ECMO started identified a reduced inflammatory response. There was no correlation of analyzed platelet parameters with the incidence of thrombotic complications.
Introduction:
Neointimal hyperplasia after percutaneous coronary intervention remains a major determinant of in-stent restenosis (ISR). The extent of mechanical vessel injury correlates with ISR. A new ex vivo porcine stent model was introduced and evaluated comparing different stent designs.
Methods:
Coronary arteries were prepared from pig hearts from the slaughterhouse and used for ex vivo implantations of coronary stents. One basic stent design in two configurations (dogbone, DB; non-dogbone, NDB) was used. Vascular injury was determined according to a modified injury score (IS).
Results:
Standardized experimental conditions ensured comparable vessel dimensions and overstretch data. DB stents caused more severe IS compared to NDB stents. The mean IS and the IS at the distal end of all stents were significantly reduced for NDB stents (ISMean, DB, 1.16 ±0.12; NDB, 1.02 ±0.12; p=0.018; ISDist, DB, 1.39 ±0.28; NDB, 1.13 ±0.24; p=0.03).
Discussion/Conclusion:
The introduced ex-vivo model allowed the evaluation of different stent designs exclude unfavorable stent designs.
High-resolution flow field investigations in membrane lungs, considering the complex blood rheology
(2024)
Despite major improvements over the last years, coagulative disorders and clotting
phenomena in membrane lungs (MLs) are still considerable complications in extracorporeal
membrane oxygenation (ECMO). ECMO is an increasingly used treatment for patients with
severe respiratory failure or cardiac arrest [1]. For both, evaluation of therapeutic decisions
and fundamental research on patient specific intra-device clotting phenomena, the direct
visualization and analysis of clot formation in combination with a detailed flow field
correlation is highly desirable and therefore an intensively followed research topic.
Modelling blood flow and shear induced coagulation in MLs is challenging. The relevant
geometry of oxygenator fibers and chaining threads is complex and spans several length scales.
In relevant scales and regimes, blood shows several significant non-Newtonian effects.
Viscosity impacts shear rate, which is important in several coagulation mechanisms.
Additionally, coagulation processes are influencing fluid properties and geometry
significantly. Existing approaches of previous research work are only able to consider some,
but not all relevant effects and geometrical details. Due to the enormous size of the discretized
geometries, highly detailed viscosity and coagulations models are not applicable. Our goal is
to develop a model for combined viscosity and coagulation properties of blood flow in MLs.
In our work, we compare the influence of different levels of detail of the ML geometry as well
as the influence of considering realistic blood flow behavior (viscosity change by considering
the local hematocrit distribution within the Fåhraeus-Lindqvist-Effect) on the resulting flow
field in relevant subsections of a ML.
High-resolution micro-CT geometry reconstructions [1] are compared to idealized generic
fiber representations. For realistic blood flow modelling, Newtonian representation is
compared to the established Carreau-Yasuda and a multiphase Euler-Euler approach.
Results are presented for relevant subsections as well as for the complete ML.
Automated deep learning based detection of cellular deposits on clinically used ECMO membrane lungs
(2026)
Introduction:
Despite the promising application of extracorporeal membrane oxygenation (ECMO) in the treatment of critically ill patients, coagulation-associated technical complications, primarily clot formation and critical bleeding, remain a major challenge during ECMO therapy. The deposition of nucleated cells on the surface has been shown, yet the role of these cells towards complication development is still matter of ongoing research. In particular, the membrane lung (MemL) is prone to clot formation. Therefore, the investigation of nuclear deposits on its hollow-fibers may provide insights for a better understanding of the cellular mechanisms involved in the development of ECMO complications.
Methods:
To support current research, this study aimed to develop a deep learning–based tool for the automated detection and quantitative analysis of nuclear depositions on MemL hollow-fiber mats. A customized fluorescence microscopy workflow, combined with a semi-automated iterative labeling strategy, was used to generate a high-quality dataset for model training.
Results:
Six configurations of instance segmentation models were evaluated, with a Mask R-CNN with ResNet 101 backbone using dilated convolution providing the most balanced performance in both nuclei count and area accuracy. Compared with U-Net–based approaches such as Cellpose or StarDist, the proposed model demonstrated superior segmentation of overlapping and low-intensity nuclei, maintaining accuracy even in densely packed cellular regions.
Discussion:
We present an automated image analysis tool for clinically used MemLs, which exhibit complex three-dimensional hollow-fiber architectures and irregular cellular deposits that challenge conventional tools. A dedicated graphical user interface enables streamlined detection, morphometric analysis, and spatial clustering of nuclei, establishing a reproducible workflow for high-throughput analysis of fluorescence microscopy images. This approach eliminates labor-intensive manual counting and facilitates large-scale studies on cell-fiber interactions and disease-related correlations.