Andreas Hohn, Nathalie M. Malewicz-Oeck, Dirk Buchwald, Thorsten Annecke, Peter K. Zahn, Andreas Baumann
{"title":"评论:心脏手术中血液吸附的细化患者分层:RECCAS, REMOVE和SIRAKI02的比较反思","authors":"Andreas Hohn, Nathalie M. Malewicz-Oeck, Dirk Buchwald, Thorsten Annecke, Peter K. Zahn, Andreas Baumann","doi":"10.1186/s13054-025-05525-1","DOIUrl":null,"url":null,"abstract":"<p><b>Clinical Registration:</b> The RECCAS trial was prospectively registered (Clinical Trial Number DRKS00007928, https://drks.de/search/en/trial/DRKS00007928 on 3rd August 2015 with the Clinical Trial Registry and published under: Baumann A, Buchwald D, Annecke T, Hellmich M, Zahn PK, Hohn A. RECCAS - REmoval of Cytokines during Cardiac Surgery: study protocol for a randomised controlled trial. Trials. 2016;17: 137.</p><br/><p>Haemoadsorption (HA) to modulate inflammation after cardiac surgery via extracorporeal cytokine removal has theoretical benefits, with divergent study results and clinical outcomes. These findings fuel debate on HA’s clinical relevance in cardiac surgery [1,2,3] during cardiopulmonary bypass (CPB). This commentary reflects on the findings of the RECCAS trial, a prospective, randomised trial investigating intraoperative haemoadsorption (HA) in elective cardiac surgery [4]. While HA lowered certain cytokines during surgery and improved cardiac index, fluid, and fibrinogen needs, it did not affect IL-6 at ICU nor organ function. We contextualise RECCAS findings by comparing with the REMOVE and SIRAKI02 trials [5, 6], and derive implications for patient stratification and future trial design. Among available trials, REMOVE and SIRAKI02 provide recent and relevant trials due to their prospective, randomised design and focus on HA in cardiac surgery. Despite differences in patient populations and devices, these trials allow a comparative evaluation of methodologies and directionality of outcomes.</p><p>Notably, 30.5% of cardiac procedures are performed in patients aged 70–79 years [5]. The RECCAS trial included patients aged ≥ 65 years reflecting the typical demographic undergoing elective cardiac surgery. While this focus enhances relevance for the typical older cardiac surgery population, it may limit applicability to less frequently encountered groups such as younger patients. Broader inclusion criteria could enhance generalisability but may introduce heterogeneity. Although older patients show a less pronounced inflammatory response, it still contributes to complications.</p><p>In contrast, the REMOVE trial enrolled patients with infective endocarditis and a high inflammatory burden, whereas SIRAKI02 targeted on individuals with lower preoperative risk profiles. Future studies should investigate age-related differences across broader populations and focus on subgroup analyses, particularly in patients with pronounced inflammatory activity.</p><p>The RECCAS cohort included isolated coronary artery bypass grafting (CABG) and valve surgeries but also complex combined procedures (Supplement 1), reflecting the diversity of real-world surgical practices [5,6,7]. Although full blinding was not possible, restricted visibility for surgeons and concealed group allocation reduced performance bias. Comparable intraoperative times and full ICU blinding confirm objective outcome assessment.</p><h3>Inflammatory monitoring and outcome assessment</h3><p>RECCAS focused on IL-6 as primary marker of inflammation, acknowledging its limitations due to kinetic variability. The HA efficacy depends on CPB duration and cytokine gradient [8, 9], but the relatively low inflammatory burden, CPB-restricted HA application and potentially early adsorber saturation may have limited impact on IL-6. CPB-related cytokine release may persist postoperatively, potentially limiting the impact of intraoperative HA [10]. Neither were differences in CRP, PCT, creatinine, bilirubin, blood gas analyses, leucocytes, thrombocytes, glomerular filtration rate (eGFR), blood urea nitrogen (BUN), liver enzymes, fibrinogen, coagulation markers, SOFA-scores and ΔSOFA-scores detected. Those parameters were less suitable as primary outcome due to CRP’s delayed kinetics, creatinine’s variation based on muscle mass, and bilirubin’s sensitivity to haemolysis. Similarly CRP and procalcitonin (PCT) did not show significant differences in the REMOVE-trial [11]. The statistical robustness of RECCAS was ensured through adherence to pre-specified comprehensive protocols and transparent reporting. Accordingly, one patient was excluded post-randomisation due to a protocol violation unrelated to HA intervention [4], without compromising the intention-to-treat (ITT) principle. Sensitivity analyses confirmed the reliability of the findings.</p><p>To ensure a homogeneous cohort, immunosuppressed patients were excluded based on predefined criteria. Glucocorticoids were not routinely administered, and transfusion practices were comparable between groups, minimizing procedural or treatment-related confounders. No increased need for transfusion, coagulation factors or transfusion-associated inflammatory burden, was observed intraoperatively or during ICU (Supplement 2).</p><p>Notably, in the SIRAKI02-trial particularly high-risk patients with comorbidities, chronic kidney disease or reduced cardiac function benefitted of HA (Oxiris connected to CKRT), suggesting a relevance for cytokine burden and disease severity [11, 12], in contrast to RECCAS.</p><p>REMOVE, which included patients with a higher inflammatory baseline, similarly found no significant effect on SOFA trajectories. HA efficacy may depend on identifying patients with substantial inflammatory activity and prolonged CPB times.</p><p>Key differences among RECCAS, REMOVE, and SIRAKI02 reflect the broad heterogeneity in HA research and investigated populations (Table 1). The REMOVE study included emergency and urgent endocarditis patients with elevated EURO and SOFA scores. In contrast, the RECCAS study focused on elective cardiac surgery without preoperative inflammatory processes. The SIRAKI02 study enrolled non-emergent cardiac surgery patients with even lower EURO (~ 2.5%) and SOFA scores (~ 6). Furthermore, the interventions differed: Cytosorb was used in REMOVE and RECCAS, and Oxiris in SIRAKI02. The trials also varied in their primary endpoints, which influenced power calculations and statistical methodology, underlining heterogeneity and the problematic direct comparison. REMOVE focused on Delta-SOFA within 9 days, RECCAS examined IL-6 levels at ICU admission, and SIRAKI02 assessed the incidence of CSA-AKI by day 7. The inflammatory response following cardiac surgery is multifactorial, involving ischaemia-reperfusion, inflammation, oxidative stress, haemolysis, and nephrotoxins. While endotoxin release is a likely trigger for inflammation, it constitutes only one aspect of a complex pathophysiological process. Therefore, drawing the conclusion that the trials differences in renal outcomes are primarily explained by the elimination of endotoxins may be speculative [1]. These differences preclude direct comparison but allow hypothesis generation regarding patient selection and outcome sensitivity - investigating the immune response and the influence of various mediators on outcomes and organ failure may be a valuable approach.</p><figure><figcaption><b data-test=\"table-caption\">Table 1 Comparative Overview of REMOVE, RECCAS, and SIRAKI02 trials</b></figcaption><span>Full size table</span><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-chevron-right-small\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></figure><p>Moving forward, patient stratification and focus on complex surgical procedures, significant comorbidities, including pre-existing organ dysfunction, and clinical relevant scores (e.g. SOFA) may be essential in well-designed large-scale randomized controlled trials. Rather than enrolling heterogeneous groups, stratified trial designs could target subgroups more likely to benefit from HA, such as those with prolonged CPB, organ dysfunction, or sepsis-like profiles. Phenotype-based exploratory approaches including preoperative inflammatory phenotyping, cytokine quantification, complement activation, and markers of endothelial dysfunction should elucidate the underlying mechanisms. Standardised core outcome sets, integration of transcriptomic and proteomic analyses and early identification algorithms could enhance results.</p><p>Lessons from sepsis research suggest that combining HA with phenotype-based stratification and validated clinical scoring tools may help optimise both the timing and duration of therapy [13,14,15]. As we progress, the broader adoption of HA will necessitate well-powered studies that build on the discussed research. Refinement of trial methodologies, expansion of biomarker analysis, and adoption of patient-centred strategies — including optimisation of timing, dosage, duration, and patient selection algorithms—will be crucial to realise the full clinical potential of HA.</p><p>RECCAS, REMOVE, and SIRAKI02 collectively highlight the complexity of translating HA’s theoretical benefits into clinical effectiveness. Rather than drawing premature conclusions, these trials invite a more nuanced exploration of inflammatory profiles, treatment windows, and appropriate endpoints. Future research should adopt a precision medicine approach to fully assess the role of HA in cardiac surgery.</p><p>No datasets were generated or analysed during the current study.</p><dl><dt style=\"min-width:50px;\"><dfn>HA:</dfn></dt><dd>\n<p>Heamoadsorption</p>\n</dd><dt style=\"min-width:50px;\"><dfn>CPB:</dfn></dt><dd>\n<p>Cardiopulmonary Bypass</p>\n</dd><dt style=\"min-width:50px;\"><dfn>ICU:</dfn></dt><dd>\n<p>Intensive Care Unit</p>\n</dd><dt style=\"min-width:50px;\"><dfn>IL:</dfn></dt><dd>\n<p>Interleukin</p>\n</dd><dt style=\"min-width:50px;\"><dfn>CABG:</dfn></dt><dd>\n<p>Coronary Artery Bypass Grafting</p>\n</dd><dt style=\"min-width:50px;\"><dfn>Re:</dfn></dt><dd>\n<p>CABG-Repeat Coronary Artery Bypass Grafting</p>\n</dd><dt style=\"min-width:50px;\"><dfn>AKE:</dfn></dt><dd>\n<p>Aortic Valve Replacement</p>\n</dd><dt style=\"min-width:50px;\"><dfn>MKE:</dfn></dt><dd>\n<p>Mitral Valve Replacement</p>\n</dd><dt style=\"min-width:50px;\"><dfn>MKR:</dfn></dt><dd>\n<p>Mitral Valve Reconstruction</p>\n</dd><dt style=\"min-width:50px;\"><dfn>RE:</dfn></dt><dd>\n<p>OP MKE-Repeat Mitral Valve Replacement</p>\n</dd><dt style=\"min-width:50px;\"><dfn>MIC:</dfn></dt><dd>\n<p>MKE-Minimally Invasive Mitral Valve Replacement</p>\n</dd><dt style=\"min-width:50px;\"><dfn>PCC:</dfn></dt><dd>\n<p>Prothrombin Complex Concentrate</p>\n</dd><dt style=\"min-width:50px;\"><dfn>PRBCs:</dfn></dt><dd>\n<p>Packed Red Blood Cells</p>\n</dd><dt style=\"min-width:50px;\"><dfn>FFP:</dfn></dt><dd>\n<p>Fresh Frozen Plasma</p>\n</dd><dt style=\"min-width:50px;\"><dfn>PCT:</dfn></dt><dd>\n<p>Procalcitonin</p>\n</dd><dt style=\"min-width:50px;\"><dfn>CRP:</dfn></dt><dd>\n<p>C-Reactive Protein</p>\n</dd><dt style=\"min-width:50px;\"><dfn>eGFR:</dfn></dt><dd>\n<p>Estimated Glomerular Filtration Rate</p>\n</dd><dt style=\"min-width:50px;\"><dfn>BUN:</dfn></dt><dd>\n<p>Blood Urea Nitrogen</p>\n</dd><dt style=\"min-width:50px;\"><dfn>AST:</dfn></dt><dd>\n<p>Aspartate Aminotransferase</p>\n</dd><dt style=\"min-width:50px;\"><dfn>ALT:</dfn></dt><dd>\n<p>Alanine Aminotransferase</p>\n</dd><dt style=\"min-width:50px;\"><dfn>Gamma:</dfn></dt><dd>\n<p>GT-Gamma-Glutamyl Transferase</p>\n</dd><dt style=\"min-width:50px;\"><dfn>SOFA:</dfn></dt><dd>\n<p>Sequential Organ Failure Assessment</p>\n</dd><dt style=\"min-width:50px;\"><dfn>ΔSOFA:</dfn></dt><dd>\n<p>Delta Sequential Organ Failure Assessment</p>\n</dd><dt style=\"min-width:50px;\"><dfn>ICU:</dfn></dt><dd>\n<p>Intensive Care Unit</p>\n</dd></dl><ol data-track-component=\"outbound reference\" data-track-context=\"references section\"><li data-counter=\"1.\"><p>Honore PM, Blackman S, Wang M-MRECCAS, REMOVE. 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Extracorporeal blood purification and acute kidney injury in cardiac surgery: the SIRAKI02 randomized clinical trial. JAMA. 2024; 332:1446-1454. </p></li><li data-counter=\"13.\"><p>Kogelmann K, Hübner T, Schwameis F, Drüner M, Scheller M, Jarczak D. First evaluation of a new dynamic scoring system intended to support prescription of adjuvant cytosorb hemoadsorption therapy in patients with septic shock. J Clin Med. 2021;10:2939.</p><p>PubMed PubMed Central Google Scholar </p></li><li data-counter=\"14.\"><p>Schmidt BMW, Lang H, Tian ZJ, Becker S, Melk A. Cytokine removal: do not ban it, but learn in whom and when to use it. Crit Care. 2023;27:444.</p><p>PubMed PubMed Central Google Scholar </p></li><li data-counter=\"15.\"><p>Steindl D, Schroeder T, Krannich A, Nee J. Hemoadsorption in the management of septic shock: A systematic review and Meta-Analysis. J Clin Med. 2025;14:2285.</p><p>CAS PubMed PubMed Central Google Scholar </p></li></ol><p>Download references<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><p>Not applicable.</p><p>CytoSorbents<sup>®</sup> Europe GmbH supported the RECCAS trial by a grant for laboratory assays and compensated for the article processing charge of the initial protocol. No other funding was received for the study.</p><span>Author notes</span><ol><li><p>Andreas Hohn and Nathalie M. Malewicz-Oeck contributed equally to this work.</p></li></ol><h3>Authors and Affiliations</h3><ol><li><p>Faculty of Medicine, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany</p><p>Andreas Hohn & Thorsten Annecke</p></li><li><p>Department of Anaesthesiology and Intensive Care Medicine, Cologne University Hospital, Kerpener Str. 62, 50937, Cologne, Germany</p><p>Andreas Hohn</p></li><li><p>Department of Anaesthesiology and Intensive Care Medicine, Kliniken Maria Hilf GmbH, Viersener Str. 450, 41063, Moenchengladbach, Germany</p><p>Andreas Hohn</p></li><li><p>Department of Anaesthesiology, Intensive Care Medicine and Pain Medicine, Medical Faculty of Ruhr-University Bochum, BG University Hospital Bergmannsheil, Bürkle-de-la-Camp-Platz 1, 44789, Bochum, Germany</p><p>Nathalie M. Malewicz-Oeck, Peter K. Zahn & Andreas Baumann</p></li><li><p>Department of Cardiothoracic Surgery, BG University Hospital Bergmannsheil, Bürkle-de-la-Camp-Platz 1, 44789, Bochum, Germany</p><p>Dirk Buchwald</p></li><li><p>Department of Anaesthesiology and Intensive Care Medicine, Kliniken der Stadt Köln GmbH, University of Witten/Herdecke, Ostmerheimer Straße 200, 51109, Cologne, Cologne, Germany</p><p>Thorsten Annecke</p></li></ol><span>Authors</span><ol><li><span>Andreas Hohn</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Nathalie M. Malewicz-Oeck</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Dirk Buchwald</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Thorsten Annecke</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Peter K. Zahn</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Andreas Baumann</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li></ol><h3>Contributions</h3><p>All authors meet all four criteria for authorship recommended by ICMJE. All authors have seen and agree with the final contents of the manuscript. Ethical proposal: AH; Study design and conception: AH, AB Interviews: AB; Cardiotechnician training and conduction: DB; probe acquiring: DB, AB; Data management: NMO, AB; Statistics: NMO; data analysis: NMO, AB, AH; Manuscript drafting: AB, NMO; Manuscript revision: AB, NMO, AH, TA, PZ; Data interpretation: TA, AH, NMO, AB, Final approval of manuscript: AB, AH, TA, DB, NMO, PZ; Submission process: NMO, AB; Responsibility for concept: AH, NMO, AB.</p><h3>Corresponding author</h3><p>Correspondence to Andreas Baumann.</p><h3>Ethics approval and consent to participate</h3>\n<p>The Ethical Committee of Ruhr University Bochum, Germany, approved the prospective single-centre randomised controlled interventional trial RECCAS (ethical approval No. 5094–14), and patients were enrolled after written informed consent was provided by patients.</p>\n<h3>Consent for publication</h3>\n<p>Not applicable.</p>\n<h3>Competing interests</h3>\n<p>The authors declare no competing interests.</p><h3>Publisher’s note</h3><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p><h3>Supplementary Material 1</h3><h3>Supplementary Material 2</h3><p><b>Open Access</b> This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.</p>\n<p>Reprints and permissions</p><img alt=\"Check for updates. 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0-.92-.08-1.33-.25-.41-.16-.77-.4-1.08-.7-.3-.31-.54-.69-.72-1.13-.17-.44-.26-.95-.26-1.52zm4.61-.62c0-.55-.11-.98-.34-1.28-.23-.31-.58-.47-1.06-.47-.41 0-.77.15-1.08.45-.31.29-.5.73-.57 1.3zm3.01 2.23c.31.24.61.43.92.57.3.13.63.2.98.2.38 0 .65-.08.83-.23s.27-.35.27-.6c0-.14-.05-.26-.13-.37-.08-.1-.2-.2-.34-.28-.14-.09-.29-.16-.47-.23l-.53-.22c-.23-.09-.46-.18-.69-.3-.23-.11-.44-.24-.62-.4s-.33-.35-.45-.55c-.12-.21-.18-.46-.18-.75 0-.61.23-1.1.68-1.49.44-.38 1.06-.57 1.83-.57.48 0 .91.08 1.29.25s.71.36.99.57l-.74.98c-.24-.17-.49-.32-.73-.42-.25-.11-.51-.16-.78-.16-.35 0-.6.07-.76.21-.17.15-.25.33-.25.54 0 .14.04.26.12.36s.18.18.31.26c.14.07.29.14.46.21l.54.19c.23.09.47.18.7.29s.44.24.64.4c.19.16.34.35.46.58.11.23.17.5.17.82 0 .3-.06.58-.17.83-.12.26-.29.48-.51.68-.23.19-.51.34-.84.45-.34.11-.72.17-1.15.17-.48 0-.95-.09-1.41-.27-.46-.19-.86-.41-1.2-.68z" fill="#535353"/></g></svg>\" width=\"57\"/><h3>Cite this article</h3><p>Hohn, A., Malewicz-Oeck, N.M., Buchwald, D. <i>et al.</i> Commentary: refining patient stratification for haemoadsorption in cardiac surgery: comparative reflections on RECCAS, REMOVE, and SIRAKI02. <i>Crit Care</i> <b>29</b>, 321 (2025). https://doi.org/10.1186/s13054-025-05525-1</p><p>Download citation<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><ul data-test=\"publication-history\"><li><p>Received<span>: </span><span><time datetime=\"2025-03-23\">23 March 2025</time></span></p></li><li><p>Accepted<span>: </span><span><time datetime=\"2025-06-24\">24 June 2025</time></span></p></li><li><p>Published<span>: </span><span><time datetime=\"2025-07-23\">23 July 2025</time></span></p></li><li><p>DOI</abbr><span>: </span><span>https://doi.org/10.1186/s13054-025-05525-1</span></p></li></ul><h3>Share this article</h3><p>Anyone you share the following link with will be able to read this content:</p><button data-track=\"click\" data-track-action=\"get shareable link\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Get shareable link</button><p>Sorry, a shareable link is not currently available for this article.</p><p data-track=\"click\" data-track-action=\"select share url\" data-track-label=\"button\"></p><button data-track=\"click\" data-track-action=\"copy share url\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Copy to clipboard</button><p> Provided by the Springer Nature SharedIt content-sharing initiative </p>","PeriodicalId":10811,"journal":{"name":"Critical Care","volume":"696 1","pages":""},"PeriodicalIF":9.3000,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Commentary: refining patient stratification for haemoadsorption in cardiac surgery: comparative reflections on RECCAS, REMOVE, and SIRAKI02\",\"authors\":\"Andreas Hohn, Nathalie M. Malewicz-Oeck, Dirk Buchwald, Thorsten Annecke, Peter K. Zahn, Andreas Baumann\",\"doi\":\"10.1186/s13054-025-05525-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><b>Clinical Registration:</b> The RECCAS trial was prospectively registered (Clinical Trial Number DRKS00007928, https://drks.de/search/en/trial/DRKS00007928 on 3rd August 2015 with the Clinical Trial Registry and published under: Baumann A, Buchwald D, Annecke T, Hellmich M, Zahn PK, Hohn A. RECCAS - REmoval of Cytokines during Cardiac Surgery: study protocol for a randomised controlled trial. Trials. 2016;17: 137.</p><br/><p>Haemoadsorption (HA) to modulate inflammation after cardiac surgery via extracorporeal cytokine removal has theoretical benefits, with divergent study results and clinical outcomes. These findings fuel debate on HA’s clinical relevance in cardiac surgery [1,2,3] during cardiopulmonary bypass (CPB). This commentary reflects on the findings of the RECCAS trial, a prospective, randomised trial investigating intraoperative haemoadsorption (HA) in elective cardiac surgery [4]. While HA lowered certain cytokines during surgery and improved cardiac index, fluid, and fibrinogen needs, it did not affect IL-6 at ICU nor organ function. We contextualise RECCAS findings by comparing with the REMOVE and SIRAKI02 trials [5, 6], and derive implications for patient stratification and future trial design. Among available trials, REMOVE and SIRAKI02 provide recent and relevant trials due to their prospective, randomised design and focus on HA in cardiac surgery. Despite differences in patient populations and devices, these trials allow a comparative evaluation of methodologies and directionality of outcomes.</p><p>Notably, 30.5% of cardiac procedures are performed in patients aged 70–79 years [5]. The RECCAS trial included patients aged ≥ 65 years reflecting the typical demographic undergoing elective cardiac surgery. While this focus enhances relevance for the typical older cardiac surgery population, it may limit applicability to less frequently encountered groups such as younger patients. Broader inclusion criteria could enhance generalisability but may introduce heterogeneity. Although older patients show a less pronounced inflammatory response, it still contributes to complications.</p><p>In contrast, the REMOVE trial enrolled patients with infective endocarditis and a high inflammatory burden, whereas SIRAKI02 targeted on individuals with lower preoperative risk profiles. Future studies should investigate age-related differences across broader populations and focus on subgroup analyses, particularly in patients with pronounced inflammatory activity.</p><p>The RECCAS cohort included isolated coronary artery bypass grafting (CABG) and valve surgeries but also complex combined procedures (Supplement 1), reflecting the diversity of real-world surgical practices [5,6,7]. Although full blinding was not possible, restricted visibility for surgeons and concealed group allocation reduced performance bias. Comparable intraoperative times and full ICU blinding confirm objective outcome assessment.</p><h3>Inflammatory monitoring and outcome assessment</h3><p>RECCAS focused on IL-6 as primary marker of inflammation, acknowledging its limitations due to kinetic variability. The HA efficacy depends on CPB duration and cytokine gradient [8, 9], but the relatively low inflammatory burden, CPB-restricted HA application and potentially early adsorber saturation may have limited impact on IL-6. CPB-related cytokine release may persist postoperatively, potentially limiting the impact of intraoperative HA [10]. Neither were differences in CRP, PCT, creatinine, bilirubin, blood gas analyses, leucocytes, thrombocytes, glomerular filtration rate (eGFR), blood urea nitrogen (BUN), liver enzymes, fibrinogen, coagulation markers, SOFA-scores and ΔSOFA-scores detected. Those parameters were less suitable as primary outcome due to CRP’s delayed kinetics, creatinine’s variation based on muscle mass, and bilirubin’s sensitivity to haemolysis. Similarly CRP and procalcitonin (PCT) did not show significant differences in the REMOVE-trial [11]. The statistical robustness of RECCAS was ensured through adherence to pre-specified comprehensive protocols and transparent reporting. Accordingly, one patient was excluded post-randomisation due to a protocol violation unrelated to HA intervention [4], without compromising the intention-to-treat (ITT) principle. Sensitivity analyses confirmed the reliability of the findings.</p><p>To ensure a homogeneous cohort, immunosuppressed patients were excluded based on predefined criteria. Glucocorticoids were not routinely administered, and transfusion practices were comparable between groups, minimizing procedural or treatment-related confounders. No increased need for transfusion, coagulation factors or transfusion-associated inflammatory burden, was observed intraoperatively or during ICU (Supplement 2).</p><p>Notably, in the SIRAKI02-trial particularly high-risk patients with comorbidities, chronic kidney disease or reduced cardiac function benefitted of HA (Oxiris connected to CKRT), suggesting a relevance for cytokine burden and disease severity [11, 12], in contrast to RECCAS.</p><p>REMOVE, which included patients with a higher inflammatory baseline, similarly found no significant effect on SOFA trajectories. HA efficacy may depend on identifying patients with substantial inflammatory activity and prolonged CPB times.</p><p>Key differences among RECCAS, REMOVE, and SIRAKI02 reflect the broad heterogeneity in HA research and investigated populations (Table 1). The REMOVE study included emergency and urgent endocarditis patients with elevated EURO and SOFA scores. In contrast, the RECCAS study focused on elective cardiac surgery without preoperative inflammatory processes. The SIRAKI02 study enrolled non-emergent cardiac surgery patients with even lower EURO (~ 2.5%) and SOFA scores (~ 6). Furthermore, the interventions differed: Cytosorb was used in REMOVE and RECCAS, and Oxiris in SIRAKI02. The trials also varied in their primary endpoints, which influenced power calculations and statistical methodology, underlining heterogeneity and the problematic direct comparison. REMOVE focused on Delta-SOFA within 9 days, RECCAS examined IL-6 levels at ICU admission, and SIRAKI02 assessed the incidence of CSA-AKI by day 7. The inflammatory response following cardiac surgery is multifactorial, involving ischaemia-reperfusion, inflammation, oxidative stress, haemolysis, and nephrotoxins. While endotoxin release is a likely trigger for inflammation, it constitutes only one aspect of a complex pathophysiological process. Therefore, drawing the conclusion that the trials differences in renal outcomes are primarily explained by the elimination of endotoxins may be speculative [1]. These differences preclude direct comparison but allow hypothesis generation regarding patient selection and outcome sensitivity - investigating the immune response and the influence of various mediators on outcomes and organ failure may be a valuable approach.</p><figure><figcaption><b data-test=\\\"table-caption\\\">Table 1 Comparative Overview of REMOVE, RECCAS, and SIRAKI02 trials</b></figcaption><span>Full size table</span><svg aria-hidden=\\\"true\\\" focusable=\\\"false\\\" height=\\\"16\\\" role=\\\"img\\\" width=\\\"16\\\"><use xlink:href=\\\"#icon-eds-i-chevron-right-small\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"></use></svg></figure><p>Moving forward, patient stratification and focus on complex surgical procedures, significant comorbidities, including pre-existing organ dysfunction, and clinical relevant scores (e.g. SOFA) may be essential in well-designed large-scale randomized controlled trials. Rather than enrolling heterogeneous groups, stratified trial designs could target subgroups more likely to benefit from HA, such as those with prolonged CPB, organ dysfunction, or sepsis-like profiles. Phenotype-based exploratory approaches including preoperative inflammatory phenotyping, cytokine quantification, complement activation, and markers of endothelial dysfunction should elucidate the underlying mechanisms. Standardised core outcome sets, integration of transcriptomic and proteomic analyses and early identification algorithms could enhance results.</p><p>Lessons from sepsis research suggest that combining HA with phenotype-based stratification and validated clinical scoring tools may help optimise both the timing and duration of therapy [13,14,15]. As we progress, the broader adoption of HA will necessitate well-powered studies that build on the discussed research. Refinement of trial methodologies, expansion of biomarker analysis, and adoption of patient-centred strategies — including optimisation of timing, dosage, duration, and patient selection algorithms—will be crucial to realise the full clinical potential of HA.</p><p>RECCAS, REMOVE, and SIRAKI02 collectively highlight the complexity of translating HA’s theoretical benefits into clinical effectiveness. Rather than drawing premature conclusions, these trials invite a more nuanced exploration of inflammatory profiles, treatment windows, and appropriate endpoints. Future research should adopt a precision medicine approach to fully assess the role of HA in cardiac surgery.</p><p>No datasets were generated or analysed during the current study.</p><dl><dt style=\\\"min-width:50px;\\\"><dfn>HA:</dfn></dt><dd>\\n<p>Heamoadsorption</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>CPB:</dfn></dt><dd>\\n<p>Cardiopulmonary Bypass</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>ICU:</dfn></dt><dd>\\n<p>Intensive Care Unit</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>IL:</dfn></dt><dd>\\n<p>Interleukin</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>CABG:</dfn></dt><dd>\\n<p>Coronary Artery Bypass Grafting</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>Re:</dfn></dt><dd>\\n<p>CABG-Repeat Coronary Artery Bypass Grafting</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>AKE:</dfn></dt><dd>\\n<p>Aortic Valve Replacement</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>MKE:</dfn></dt><dd>\\n<p>Mitral Valve Replacement</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>MKR:</dfn></dt><dd>\\n<p>Mitral Valve Reconstruction</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>RE:</dfn></dt><dd>\\n<p>OP MKE-Repeat Mitral Valve Replacement</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>MIC:</dfn></dt><dd>\\n<p>MKE-Minimally Invasive Mitral Valve Replacement</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>PCC:</dfn></dt><dd>\\n<p>Prothrombin Complex Concentrate</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>PRBCs:</dfn></dt><dd>\\n<p>Packed Red Blood Cells</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>FFP:</dfn></dt><dd>\\n<p>Fresh Frozen Plasma</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>PCT:</dfn></dt><dd>\\n<p>Procalcitonin</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>CRP:</dfn></dt><dd>\\n<p>C-Reactive Protein</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>eGFR:</dfn></dt><dd>\\n<p>Estimated Glomerular Filtration Rate</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>BUN:</dfn></dt><dd>\\n<p>Blood Urea Nitrogen</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>AST:</dfn></dt><dd>\\n<p>Aspartate Aminotransferase</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>ALT:</dfn></dt><dd>\\n<p>Alanine Aminotransferase</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>Gamma:</dfn></dt><dd>\\n<p>GT-Gamma-Glutamyl Transferase</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>SOFA:</dfn></dt><dd>\\n<p>Sequential Organ Failure Assessment</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>ΔSOFA:</dfn></dt><dd>\\n<p>Delta Sequential Organ Failure Assessment</p>\\n</dd><dt style=\\\"min-width:50px;\\\"><dfn>ICU:</dfn></dt><dd>\\n<p>Intensive Care Unit</p>\\n</dd></dl><ol data-track-component=\\\"outbound reference\\\" data-track-context=\\\"references section\\\"><li data-counter=\\\"1.\\\"><p>Honore PM, Blackman S, Wang M-MRECCAS, REMOVE. 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Hemoadsorption in the management of septic shock: A systematic review and Meta-Analysis. J Clin Med. 2025;14:2285.</p><p>CAS PubMed PubMed Central Google Scholar </p></li></ol><p>Download references<svg aria-hidden=\\\"true\\\" focusable=\\\"false\\\" height=\\\"16\\\" role=\\\"img\\\" width=\\\"16\\\"><use xlink:href=\\\"#icon-eds-i-download-medium\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"></use></svg></p><p>Not applicable.</p><p>CytoSorbents<sup>®</sup> Europe GmbH supported the RECCAS trial by a grant for laboratory assays and compensated for the article processing charge of the initial protocol. No other funding was received for the study.</p><span>Author notes</span><ol><li><p>Andreas Hohn and Nathalie M. Malewicz-Oeck contributed equally to this work.</p></li></ol><h3>Authors and Affiliations</h3><ol><li><p>Faculty of Medicine, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany</p><p>Andreas Hohn & Thorsten Annecke</p></li><li><p>Department of Anaesthesiology and Intensive Care Medicine, Cologne University Hospital, Kerpener Str. 62, 50937, Cologne, Germany</p><p>Andreas Hohn</p></li><li><p>Department of Anaesthesiology and Intensive Care Medicine, Kliniken Maria Hilf GmbH, Viersener Str. 450, 41063, Moenchengladbach, Germany</p><p>Andreas Hohn</p></li><li><p>Department of Anaesthesiology, Intensive Care Medicine and Pain Medicine, Medical Faculty of Ruhr-University Bochum, BG University Hospital Bergmannsheil, Bürkle-de-la-Camp-Platz 1, 44789, Bochum, Germany</p><p>Nathalie M. Malewicz-Oeck, Peter K. Zahn & Andreas Baumann</p></li><li><p>Department of Cardiothoracic Surgery, BG University Hospital Bergmannsheil, Bürkle-de-la-Camp-Platz 1, 44789, Bochum, Germany</p><p>Dirk Buchwald</p></li><li><p>Department of Anaesthesiology and Intensive Care Medicine, Kliniken der Stadt Köln GmbH, University of Witten/Herdecke, Ostmerheimer Straße 200, 51109, Cologne, Cologne, Germany</p><p>Thorsten Annecke</p></li></ol><span>Authors</span><ol><li><span>Andreas Hohn</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Nathalie M. Malewicz-Oeck</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Dirk Buchwald</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Thorsten Annecke</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Peter K. Zahn</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Andreas Baumann</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li></ol><h3>Contributions</h3><p>All authors meet all four criteria for authorship recommended by ICMJE. All authors have seen and agree with the final contents of the manuscript. Ethical proposal: AH; Study design and conception: AH, AB Interviews: AB; Cardiotechnician training and conduction: DB; probe acquiring: DB, AB; Data management: NMO, AB; Statistics: NMO; data analysis: NMO, AB, AH; Manuscript drafting: AB, NMO; Manuscript revision: AB, NMO, AH, TA, PZ; Data interpretation: TA, AH, NMO, AB, Final approval of manuscript: AB, AH, TA, DB, NMO, PZ; Submission process: NMO, AB; Responsibility for concept: AH, NMO, AB.</p><h3>Corresponding author</h3><p>Correspondence to Andreas Baumann.</p><h3>Ethics approval and consent to participate</h3>\\n<p>The Ethical Committee of Ruhr University Bochum, Germany, approved the prospective single-centre randomised controlled interventional trial RECCAS (ethical approval No. 5094–14), and patients were enrolled after written informed consent was provided by patients.</p>\\n<h3>Consent for publication</h3>\\n<p>Not applicable.</p>\\n<h3>Competing interests</h3>\\n<p>The authors declare no competing interests.</p><h3>Publisher’s note</h3><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p><h3>Supplementary Material 1</h3><h3>Supplementary Material 2</h3><p><b>Open Access</b> This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.</p>\\n<p>Reprints and permissions</p><img alt=\\\"Check for updates. 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al.</i> Commentary: refining patient stratification for haemoadsorption in cardiac surgery: comparative reflections on RECCAS, REMOVE, and SIRAKI02. <i>Crit Care</i> <b>29</b>, 321 (2025). https://doi.org/10.1186/s13054-025-05525-1</p><p>Download citation<svg aria-hidden=\\\"true\\\" focusable=\\\"false\\\" height=\\\"16\\\" role=\\\"img\\\" width=\\\"16\\\"><use xlink:href=\\\"#icon-eds-i-download-medium\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"></use></svg></p><ul data-test=\\\"publication-history\\\"><li><p>Received<span>: </span><span><time datetime=\\\"2025-03-23\\\">23 March 2025</time></span></p></li><li><p>Accepted<span>: </span><span><time datetime=\\\"2025-06-24\\\">24 June 2025</time></span></p></li><li><p>Published<span>: </span><span><time datetime=\\\"2025-07-23\\\">23 July 2025</time></span></p></li><li><p>DOI</abbr><span>: </span><span>https://doi.org/10.1186/s13054-025-05525-1</span></p></li></ul><h3>Share this article</h3><p>Anyone you share the following 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摘要
临床注册:RECCAS试验于2015年8月3日在临床试验注册中心进行了前瞻性注册(临床试验编号DRKS00007928, https://drks.de/search/en/trial/DRKS00007928),并发表在:Baumann A, Buchwald D, Annecke T, Hellmich M, Zahn PK, Hohn A. RECCAS -心脏手术期间细胞因子的去除:一项随机对照试验的研究方案。试验。2016;17:137。血液吸附(HA)通过体外细胞因子去除来调节心脏手术后的炎症具有理论上的益处,但研究结果和临床结果存在分歧。这些发现引发了关于HA在体外循环(CPB)期间心脏手术临床相关性的争论[1,2,3]。这篇评论反映了RECCAS试验的结果,RECCAS试验是一项前瞻性随机试验,研究择期心脏手术[4]中的术中血液吸附(HA)。虽然HA在手术中降低了某些细胞因子,改善了心脏指数、液体和纤维蛋白原的需求,但它不影响ICU的IL-6和器官功能。我们将recas研究结果与REMOVE和SIRAKI02试验进行了比较[5,6],并得出了对患者分层和未来试验设计的启示。在现有的试验中,REMOVE和SIRAKI02提供了近期和相关的试验,因为它们的前瞻性、随机设计和关注心脏手术中的HA。尽管患者群体和设备存在差异,但这些试验允许对方法和结果的方向性进行比较评估。值得注意的是,30.5%的心脏手术是在70-79岁的患者中进行的。RECCAS试验纳入年龄≥65岁的患者,反映了接受择期心脏手术的典型人群。虽然这一重点增强了对典型老年心脏手术人群的相关性,但它可能限制了对较不常见的群体(如年轻患者)的适用性。更广泛的纳入标准可以增强概括性,但可能会引入异质性。虽然老年患者表现出较不明显的炎症反应,但仍会导致并发症。相比之下,REMOVE试验招募了感染性心内膜炎和高炎症负担的患者,而SIRAKI02针对的是术前风险较低的个体。未来的研究应该在更广泛的人群中调查年龄相关的差异,并将重点放在亚组分析上,特别是在有明显炎症活动的患者中。RECCAS队列包括孤立冠状动脉旁路移植术(CABG)和瓣膜手术,但也包括复杂的联合手术(补充1),反映了现实世界手术实践的多样性[5,6,7]。虽然完全盲法是不可能的,但限制外科医生的可见度和隐藏分组分配减少了表现偏差。可比较的术中时间和全ICU盲法证实了客观的结果评估。reccas将IL-6作为炎症的主要标志物,承认其动力学变异性的局限性。HA的效果取决于CPB持续时间和细胞因子梯度[8,9],但相对较低的炎症负担、CPB限制的HA应用和潜在的早期吸附器饱和可能对IL-6的影响有限。cpb相关的细胞因子释放可能在术后持续存在,可能限制术中HA[10]的影响。在CRP、PCT、肌酐、胆红素、血气分析、白细胞、血小板、肾小球滤过率(eGFR)、血尿素氮(BUN)、肝酶、纤维蛋白原、凝血标志物、sofa评分和ΔSOFA-scores检测方面均无差异。由于CRP的延迟动力学、肌酐随肌肉量的变化以及胆红素对溶血的敏感性,这些参数不太适合作为主要结局。同样,CRP和降钙素原(PCT)在remove -试验中也没有显示出显著差异。RECCAS的统计稳健性是通过遵守预先规定的综合方案和透明的报告来确保的。因此,在不影响意向治疗(ITT)原则的情况下,由于与HA干预[4]无关的协议违反,1例患者在随机化后被排除。敏感性分析证实了研究结果的可靠性。为了确保同质队列,免疫抑制患者根据预先定义的标准被排除。糖皮质激素不是常规使用,输血做法在两组之间具有可比性,最大限度地减少了程序或治疗相关的混杂因素。术中或ICU期间未观察到输血需求、凝血因子或输血相关炎症负担增加(补充2)。 值得注意的是,在siraki02试验中,特别是有合并症、慢性肾脏疾病或心功能下降的高风险患者,HA (Oxiris与CKRT联合)使患者受益,这表明与RECCAS相比,HA与细胞因子负担和疾病严重程度相关[11,12]。在包括炎症基线较高的患者的REMOVE中,同样发现对SOFA轨迹没有显著影响。透明质酸的疗效可能取决于确定有大量炎症活动和CPB时间延长的患者。recas、REMOVE和SIRAKI02之间的关键差异反映了HA研究和调查人群的广泛异质性(表1)。REMOVE研究纳入了EURO和SOFA评分升高的急诊和急症心内膜炎患者。相比之下,RECCAS研究侧重于术前无炎症过程的择期心脏手术。SIRAKI02研究纳入了EURO(~ 2.5%)和SOFA评分(~ 6)更低的非紧急心脏手术患者。此外,干预措施也有所不同:在REMOVE和RECCAS中使用Cytosorb,而在SIRAKI02中使用Oxiris。试验的主要终点也不同,这影响了功率计算和统计方法,强调了异质性和有问题的直接比较。REMOVE集中于9天内的δ - sofa, RECCAS检查ICU入院时的IL-6水平,SIRAKI02在第7天评估CSA-AKI的发生率。心脏手术后的炎症反应是多因素的,包括缺血-再灌注、炎症、氧化应激、溶血和肾毒素。虽然内毒素释放可能是炎症的触发因素,但它只是复杂病理生理过程的一个方面。因此,得出试验中肾脏预后差异主要由内毒素消除来解释的结论可能是推测性的。这些差异排除了直接比较,但允许在患者选择和结果敏感性方面产生假设-研究免疫反应和各种介质对结果和器官衰竭的影响可能是一种有价值的方法。展望未来,在设计良好的大规模随机对照试验中,患者分层和关注复杂的外科手术、重要的合并症(包括先前存在的器官功能障碍)和临床相关评分(如SOFA)可能是必不可少的。分层试验设计可以针对更有可能从HA获益的亚组,而不是招募异质组,例如长期CPB,器官功能障碍或败血症样症状的亚组。基于表型的探索性方法,包括术前炎症表型、细胞因子定量、补体激活和内皮功能障碍标志物,应该阐明潜在的机制。标准化的核心结果集、转录组学和蛋白质组学分析的整合以及早期识别算法可以提高结果。脓毒症研究的经验表明,将HA与基于表型的分层和经过验证的临床评分工具相结合,可能有助于优化治疗的时间和持续时间[13,14,15]。随着我们的进步,HA的广泛采用将需要在讨论的研究基础上进行强有力的研究。改进试验方法,扩大生物标志物分析,采用以患者为中心的策略——包括优化时间、剂量、持续时间和患者选择算法——对于实现HA的全部临床潜力至关重要。RECCAS、REMOVE和SIRAKI02共同强调了将HA的理论益处转化为临床效果的复杂性。这些试验并没有得出过早的结论,而是对炎症特征、治疗窗口和适当的终点进行了更细致的探索。今后的研究应采用精准医学的方法,充分评估HA在心脏手术中的作用。在本研究中没有生成或分析数据集。HA:血液吸附cpb:心肺旁路手术icu:重症监护直到:白细胞介素abg:冠状动脉旁路移植术gre: cabg -重复冠状动脉旁路移植术ake:主动脉瓣置换术mke:二尖瓣置换术mkr:二尖瓣重建术re:OP mke -重复二尖瓣置换术mic: mke -微创二尖瓣置换术pcc:凝血酶原复合物浓度红细胞:致密红细胞ffp:新鲜冷冻血浆ct:降钙素原crp: c反应蛋白egfr:估计肾小球滤过率bun:血尿素氮ast:天冬氨酸转氨酶alt:丙氨酸转氨酶egamma: gt - γ -谷氨酰转氨酶ofa:序贯器官衰竭AssessmentΔSOFA:Delta序贯器官衰竭评估u:重症监护病房SIRAKI02:不同的结果和可能的解释。危重护理与护理杂志,2025;29:16。学者罗m。 全身炎症和心脏手术:来自RECCAS试验的见解。危重护理与护理杂志,2025;29:1。[10][学者Ramírez-Guerrero] G, Pedreros-Rosales C.血液吸附在心脏外科低危患者选择的局限性和最低细胞因子水平。中国生物医学工程学报(英文版);2009;28(4):437。[10][学者Hohn A, Malewicz-Oeck N, Buhwald D, Annecke T, Zahn PK, Baumann A.心脏手术中细胞因子去除(recas)的随机对照试验。]危重症护理。2024年12月12日;28(1):406。https://doi.org/10.1186/s13054-024-05175-9Beckmann A, Meyer R, Eberhardt J, Gummert J, Falk V.德国心脏外科报告2023:德国胸外科和心血管外科学会年度更新登记。胸心外科。2024;72:329-45。PubMed bbb学者Vervoort D, Lee G, Ghandour H, Guetter CR, Adreak N, Till BM等。全球心脏手术量和缺口:趋势、目标和前进方向。安胸外科短众议员2024;2:320-4。PubMed bbb学者von Wyler MC, Kaneko T, Iribarne A, Kim KM, Arghami A, Fiedler A,等。胸外科学会成人心脏外科数据库:2023年更新的手术数据和研究。安。胸外科。2024;117:260-70。[10]学者Klinkmann G, Koball S, Reuter DA, Mitzner S.细胞sorb®血液灌流:患者选择,时间和剂量的最新知识。In: Bellomo R, Ronco C,Contrib Nephrol [Internet]。, Karger s.a;2023[引自2023年8月16日]。17-24页。可从:https://doi.org/10.1159/000527774K <s:2> hne L-U, Binczyk R, riesß F-C。心脏手术并发心内膜炎患者术中与术中加术后血液吸附治疗的比较。中华医学杂志,2019;42(2):391 - 391。PubMed bbb学者Bernardi MH, Rinoesl H, Dragosits K, Ristl R, Hoffelner F, Opfermann P等。体外循环手术中血液吸附的效果——一项使用新型吸附剂的盲法、随机、对照试验研究。危重症护理,2016;20:96。PubMed PubMed Central bbb学者Diab M, Lehmann T, Bothe W, Akhyari P, Platzer S, Wendt D等心脏手术期间细胞因子血液吸附与感染性心内膜炎(REMOVE)的标准手术护理:来自一项多中心随机对照试验的结果循环。2022;145:959 - 68。PubMed谷歌Scholar Pérez-Fernández X, Ulsamer A, Cámara-Rosell M, Sbraga F, Boza-Hernández E, Moret-Ruíz E等。体外血液净化和心脏手术中的急性肾损伤:SIRAKI02随机临床试验《美国医学协会杂志》上。2024年;332:1446 - 1454。Kogelmann K, h<e:1> bner T, Schwameis F, dr<e:1> ner M, Scheller M, jakzak D.一种新的动态评分系统的首次评估,旨在支持脓毒性休克患者辅助细胞吸收血液吸附治疗的处方。中华临床医学杂志(英文版);2009;10:391 - 391。PubMed PubMed Central谷歌学者Schmidt BMW, Lang H, Tian ZJ, Becker S, Melk A.细胞因子去除:不禁止,但要学会在谁和什么时候使用。危重症护理[j];27:44。[10]学者Steindl D, Schroeder T, Krannich A, Nee J.血液吸附在脓毒性休克治疗中的应用:系统回顾和meta分析。中华临床医学杂志,2015;22(2):385。CAS PubMed PubMed Central谷歌学者下载参考文献不适用。CytoSorbents®Europe GmbH通过实验室分析拨款支持recas试验,并补偿了初始方案的文章处理费用。该研究没有收到其他资助。作者注意到andreas Hohn和Nathalie M. Malewicz-Oeck对这项工作做出了同样的贡献。德国科隆大学医学部,科佩纳街62号,德国科隆50937;德国科隆大学附属医院麻醉与重症医学科,科佩纳街62,50937,德国科隆;安德烈亚斯·霍恩麻醉与重症医学科,Kliniken Maria Hilf GmbH, Viersener街450,41063,德国门兴格拉德巴赫;安德烈亚斯·霍恩鲁尔大学波亨医学院麻醉,重症医学科与疼痛医学科,伯格曼谢尔BG大学附属医院,<s:1> rkle-de-la- campo - platz, 144789;波鸿,德国娜塔莉M.马勒维奇-欧克,彼得K.扎恩&;Andreas baumann德国博格曼舍尔BG大学医院心胸外科,德国波亨市<s:1> rkle-de-la- campp - platz 1,44789德克·布赫瓦尔德威滕大学/赫德克市Kliniken der Stadt Köln GmbH麻醉科和重症医学系,奥斯特默海默大街200,51109,科隆,科隆,GermanyThorsten AnneckeAuthorsAndreas HohnView作者出版物搜索作者on:PubMed谷歌ScholarNathalie M. Malewicz-OeckView作者出版物搜索作者on:PubMed谷歌ScholarDirk BuchwaldView作者出版物搜索作者on:PubMed谷歌ScholarThorsten AnneckeView作者出版物搜索作者on:PubMed谷歌ScholarPeter K。 ZahnView作者出版物搜索作者on:PubMed b谷歌ScholarAndreas baumanview作者出版物搜索作者on:PubMed谷歌scholarcontributions所有作者都符合ICMJE推荐的作者资格的所有四个标准。所有作者都看过并同意稿件的最终内容。伦理建议:AH;研究设计与构思:AH, AB访谈:AB;心脏技术员培训和指导:DB;探头采集:DB、AB;数据管理:NMO, AB;统计:动;数据分析:NMO, AB, AH;稿件起草:AB、NMO;稿件修改:AB, NMO, AH, TA, PZ;数据解释:TA、AH、NMO、AB,稿终审定:AB、AH、TA、DB、NMO、PZ;投稿流程:NMO, AB;负责概念:AH, NMO, ab。通讯作者Andreas Baumann。德国波鸿鲁尔大学伦理委员会批准了前瞻性单中心随机对照介入试验RECCAS(伦理批准号5094-14),患者提供书面知情同意后入组。发表同意不适用。利益竞争作者声明没有利益竞争。出版方声明:对于已出版地图的管辖权要求和机构关系,普林格·自然保持中立。开放获取本文遵循知识共享署名-非商业-非衍生品4.0国际许可协议,该协议允许以任何媒介或格式进行非商业使用、共享、分发和复制,只要您对原作者和来源给予适当的署名,提供知识共享许可协议的链接,并注明您是否修改了许可材料。根据本许可协议,您无权分享源自本文或其部分内容的改编材料。本文中的图像或其他第三方材料包含在文章的知识共享许可协议中,除非在材料的署名中另有说明。如果材料未包含在文章的知识共享许可中,并且您的预期用途不被法律法规允许或超过允许的用途,您将需要直接获得版权所有者的许可。要查看本许可证的副本,请访问http://creativecommons.org/licenses/by-nc-nd/4.0/.Reprints和permissionsCite这篇文章hohn, a ., Malewicz-Oeck, n.m., Buchwald, D.等人。评论:心脏手术中血液吸附的细化患者分层:RECCAS, REMOVE和SIRAKI02的比较反思。危重护理29,321(2025)。https://doi.org/10.1186/s13054-025-05525-1Download citation:收稿日期:2025年3月23日接受日期:2025年6月24日发布日期:2025年7月23日doi: https://doi.org/10.1186/s13054-025-05525-1Share本文任何人与您分享以下链接将能够阅读此内容:获取可共享链接对不起,本文目前没有可共享链接。复制到剪贴板由施普林格自然共享内容倡议提供
Commentary: refining patient stratification for haemoadsorption in cardiac surgery: comparative reflections on RECCAS, REMOVE, and SIRAKI02
Clinical Registration: The RECCAS trial was prospectively registered (Clinical Trial Number DRKS00007928, https://drks.de/search/en/trial/DRKS00007928 on 3rd August 2015 with the Clinical Trial Registry and published under: Baumann A, Buchwald D, Annecke T, Hellmich M, Zahn PK, Hohn A. RECCAS - REmoval of Cytokines during Cardiac Surgery: study protocol for a randomised controlled trial. Trials. 2016;17: 137.
Haemoadsorption (HA) to modulate inflammation after cardiac surgery via extracorporeal cytokine removal has theoretical benefits, with divergent study results and clinical outcomes. These findings fuel debate on HA’s clinical relevance in cardiac surgery [1,2,3] during cardiopulmonary bypass (CPB). This commentary reflects on the findings of the RECCAS trial, a prospective, randomised trial investigating intraoperative haemoadsorption (HA) in elective cardiac surgery [4]. While HA lowered certain cytokines during surgery and improved cardiac index, fluid, and fibrinogen needs, it did not affect IL-6 at ICU nor organ function. We contextualise RECCAS findings by comparing with the REMOVE and SIRAKI02 trials [5, 6], and derive implications for patient stratification and future trial design. Among available trials, REMOVE and SIRAKI02 provide recent and relevant trials due to their prospective, randomised design and focus on HA in cardiac surgery. Despite differences in patient populations and devices, these trials allow a comparative evaluation of methodologies and directionality of outcomes.
Notably, 30.5% of cardiac procedures are performed in patients aged 70–79 years [5]. The RECCAS trial included patients aged ≥ 65 years reflecting the typical demographic undergoing elective cardiac surgery. While this focus enhances relevance for the typical older cardiac surgery population, it may limit applicability to less frequently encountered groups such as younger patients. Broader inclusion criteria could enhance generalisability but may introduce heterogeneity. Although older patients show a less pronounced inflammatory response, it still contributes to complications.
In contrast, the REMOVE trial enrolled patients with infective endocarditis and a high inflammatory burden, whereas SIRAKI02 targeted on individuals with lower preoperative risk profiles. Future studies should investigate age-related differences across broader populations and focus on subgroup analyses, particularly in patients with pronounced inflammatory activity.
The RECCAS cohort included isolated coronary artery bypass grafting (CABG) and valve surgeries but also complex combined procedures (Supplement 1), reflecting the diversity of real-world surgical practices [5,6,7]. Although full blinding was not possible, restricted visibility for surgeons and concealed group allocation reduced performance bias. Comparable intraoperative times and full ICU blinding confirm objective outcome assessment.
Inflammatory monitoring and outcome assessment
RECCAS focused on IL-6 as primary marker of inflammation, acknowledging its limitations due to kinetic variability. The HA efficacy depends on CPB duration and cytokine gradient [8, 9], but the relatively low inflammatory burden, CPB-restricted HA application and potentially early adsorber saturation may have limited impact on IL-6. CPB-related cytokine release may persist postoperatively, potentially limiting the impact of intraoperative HA [10]. Neither were differences in CRP, PCT, creatinine, bilirubin, blood gas analyses, leucocytes, thrombocytes, glomerular filtration rate (eGFR), blood urea nitrogen (BUN), liver enzymes, fibrinogen, coagulation markers, SOFA-scores and ΔSOFA-scores detected. Those parameters were less suitable as primary outcome due to CRP’s delayed kinetics, creatinine’s variation based on muscle mass, and bilirubin’s sensitivity to haemolysis. Similarly CRP and procalcitonin (PCT) did not show significant differences in the REMOVE-trial [11]. The statistical robustness of RECCAS was ensured through adherence to pre-specified comprehensive protocols and transparent reporting. Accordingly, one patient was excluded post-randomisation due to a protocol violation unrelated to HA intervention [4], without compromising the intention-to-treat (ITT) principle. Sensitivity analyses confirmed the reliability of the findings.
To ensure a homogeneous cohort, immunosuppressed patients were excluded based on predefined criteria. Glucocorticoids were not routinely administered, and transfusion practices were comparable between groups, minimizing procedural or treatment-related confounders. No increased need for transfusion, coagulation factors or transfusion-associated inflammatory burden, was observed intraoperatively or during ICU (Supplement 2).
Notably, in the SIRAKI02-trial particularly high-risk patients with comorbidities, chronic kidney disease or reduced cardiac function benefitted of HA (Oxiris connected to CKRT), suggesting a relevance for cytokine burden and disease severity [11, 12], in contrast to RECCAS.
REMOVE, which included patients with a higher inflammatory baseline, similarly found no significant effect on SOFA trajectories. HA efficacy may depend on identifying patients with substantial inflammatory activity and prolonged CPB times.
Key differences among RECCAS, REMOVE, and SIRAKI02 reflect the broad heterogeneity in HA research and investigated populations (Table 1). The REMOVE study included emergency and urgent endocarditis patients with elevated EURO and SOFA scores. In contrast, the RECCAS study focused on elective cardiac surgery without preoperative inflammatory processes. The SIRAKI02 study enrolled non-emergent cardiac surgery patients with even lower EURO (~ 2.5%) and SOFA scores (~ 6). Furthermore, the interventions differed: Cytosorb was used in REMOVE and RECCAS, and Oxiris in SIRAKI02. The trials also varied in their primary endpoints, which influenced power calculations and statistical methodology, underlining heterogeneity and the problematic direct comparison. REMOVE focused on Delta-SOFA within 9 days, RECCAS examined IL-6 levels at ICU admission, and SIRAKI02 assessed the incidence of CSA-AKI by day 7. The inflammatory response following cardiac surgery is multifactorial, involving ischaemia-reperfusion, inflammation, oxidative stress, haemolysis, and nephrotoxins. While endotoxin release is a likely trigger for inflammation, it constitutes only one aspect of a complex pathophysiological process. Therefore, drawing the conclusion that the trials differences in renal outcomes are primarily explained by the elimination of endotoxins may be speculative [1]. These differences preclude direct comparison but allow hypothesis generation regarding patient selection and outcome sensitivity - investigating the immune response and the influence of various mediators on outcomes and organ failure may be a valuable approach.
Table 1 Comparative Overview of REMOVE, RECCAS, and SIRAKI02 trialsFull size table
Moving forward, patient stratification and focus on complex surgical procedures, significant comorbidities, including pre-existing organ dysfunction, and clinical relevant scores (e.g. SOFA) may be essential in well-designed large-scale randomized controlled trials. Rather than enrolling heterogeneous groups, stratified trial designs could target subgroups more likely to benefit from HA, such as those with prolonged CPB, organ dysfunction, or sepsis-like profiles. Phenotype-based exploratory approaches including preoperative inflammatory phenotyping, cytokine quantification, complement activation, and markers of endothelial dysfunction should elucidate the underlying mechanisms. Standardised core outcome sets, integration of transcriptomic and proteomic analyses and early identification algorithms could enhance results.
Lessons from sepsis research suggest that combining HA with phenotype-based stratification and validated clinical scoring tools may help optimise both the timing and duration of therapy [13,14,15]. As we progress, the broader adoption of HA will necessitate well-powered studies that build on the discussed research. Refinement of trial methodologies, expansion of biomarker analysis, and adoption of patient-centred strategies — including optimisation of timing, dosage, duration, and patient selection algorithms—will be crucial to realise the full clinical potential of HA.
RECCAS, REMOVE, and SIRAKI02 collectively highlight the complexity of translating HA’s theoretical benefits into clinical effectiveness. Rather than drawing premature conclusions, these trials invite a more nuanced exploration of inflammatory profiles, treatment windows, and appropriate endpoints. Future research should adopt a precision medicine approach to fully assess the role of HA in cardiac surgery.
No datasets were generated or analysed during the current study.
HA:
Heamoadsorption
CPB:
Cardiopulmonary Bypass
ICU:
Intensive Care Unit
IL:
Interleukin
CABG:
Coronary Artery Bypass Grafting
Re:
CABG-Repeat Coronary Artery Bypass Grafting
AKE:
Aortic Valve Replacement
MKE:
Mitral Valve Replacement
MKR:
Mitral Valve Reconstruction
RE:
OP MKE-Repeat Mitral Valve Replacement
MIC:
MKE-Minimally Invasive Mitral Valve Replacement
PCC:
Prothrombin Complex Concentrate
PRBCs:
Packed Red Blood Cells
FFP:
Fresh Frozen Plasma
PCT:
Procalcitonin
CRP:
C-Reactive Protein
eGFR:
Estimated Glomerular Filtration Rate
BUN:
Blood Urea Nitrogen
AST:
Aspartate Aminotransferase
ALT:
Alanine Aminotransferase
Gamma:
GT-Gamma-Glutamyl Transferase
SOFA:
Sequential Organ Failure Assessment
ΔSOFA:
Delta Sequential Organ Failure Assessment
ICU:
Intensive Care Unit
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CytoSorbents® Europe GmbH supported the RECCAS trial by a grant for laboratory assays and compensated for the article processing charge of the initial protocol. No other funding was received for the study.
Author notes
Andreas Hohn and Nathalie M. Malewicz-Oeck contributed equally to this work.
Authors and Affiliations
Faculty of Medicine, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany
Andreas Hohn & Thorsten Annecke
Department of Anaesthesiology and Intensive Care Medicine, Cologne University Hospital, Kerpener Str. 62, 50937, Cologne, Germany
Andreas Hohn
Department of Anaesthesiology and Intensive Care Medicine, Kliniken Maria Hilf GmbH, Viersener Str. 450, 41063, Moenchengladbach, Germany
Andreas Hohn
Department of Anaesthesiology, Intensive Care Medicine and Pain Medicine, Medical Faculty of Ruhr-University Bochum, BG University Hospital Bergmannsheil, Bürkle-de-la-Camp-Platz 1, 44789, Bochum, Germany
Nathalie M. Malewicz-Oeck, Peter K. Zahn & Andreas Baumann
Department of Cardiothoracic Surgery, BG University Hospital Bergmannsheil, Bürkle-de-la-Camp-Platz 1, 44789, Bochum, Germany
Dirk Buchwald
Department of Anaesthesiology and Intensive Care Medicine, Kliniken der Stadt Köln GmbH, University of Witten/Herdecke, Ostmerheimer Straße 200, 51109, Cologne, Cologne, Germany
Thorsten Annecke
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Contributions
All authors meet all four criteria for authorship recommended by ICMJE. All authors have seen and agree with the final contents of the manuscript. Ethical proposal: AH; Study design and conception: AH, AB Interviews: AB; Cardiotechnician training and conduction: DB; probe acquiring: DB, AB; Data management: NMO, AB; Statistics: NMO; data analysis: NMO, AB, AH; Manuscript drafting: AB, NMO; Manuscript revision: AB, NMO, AH, TA, PZ; Data interpretation: TA, AH, NMO, AB, Final approval of manuscript: AB, AH, TA, DB, NMO, PZ; Submission process: NMO, AB; Responsibility for concept: AH, NMO, AB.
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Correspondence to Andreas Baumann.
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The Ethical Committee of Ruhr University Bochum, Germany, approved the prospective single-centre randomised controlled interventional trial RECCAS (ethical approval No. 5094–14), and patients were enrolled after written informed consent was provided by patients.
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Hohn, A., Malewicz-Oeck, N.M., Buchwald, D. et al. Commentary: refining patient stratification for haemoadsorption in cardiac surgery: comparative reflections on RECCAS, REMOVE, and SIRAKI02. Crit Care29, 321 (2025). https://doi.org/10.1186/s13054-025-05525-1
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