Evidence map›Paper›PMID 42790282›Full record

ArticleJACC. Advances2026

Using CK-MB and hs-cTnT to Predict 30-Day Mortality After CABG: A Combined Biomarker Risk-Stratification Approach.

Winter-Pölzl Leo, Kletzer Joseph, Lohmann Ronja, Engler Clemens, Nägele Felix, Graber Michael, Hirsch Jakob, Heuts Samuel, J Reinstadler Sebastian, Chaabi Zineb and 15 more

Abstract read
In one paragraph

Article in JACC. Advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Winter-Pölzl LeoDepartment of Cardiac Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Kletzer JosephDepartment of Cardiovascular Surgery, University Heart Center Freiburg-Bad Krozingen, University Medical Center Freiburg, Freiburg, Germany.
Lohmann RonjaDepartment of Cardiac Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Engler ClemensDepartment of Cardiac Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Nägele FelixDepartment of Cardiac Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Graber MichaelDepartment of Cardiac Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Hirsch JakobDepartment of Cardiac Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Heuts SamuelCardio-Thoracic Surgery Department, Maastricht University Medical Centre, Maastricht, the Netherlands.
J Reinstadler SebastianUniversity Clinic of Internal Medicine III, Cardiology and Angiology, Medical University of Innsbruck, Austria.
Chaabi ZinebDepartment of Cardiothoracic Surgery, Uppsala University Hospital, Uppsala, Sweden.
Molander LinneaWallenberg Centre for Molecular and Translational Medicine, Institute of Medicine, University of Gothenburg, Sweden; Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Sweden.
Hammarsten OlaDepartment of Laboratory Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Heitmann Leon ArnarDepartment of Cardiothoracic Surgery, Landspitali University Hospital, Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
Czerny MartinDepartment of Cardiovascular Surgery, University Heart Center Freiburg-Bad Krozingen, University Medical Center Freiburg, Freiburg, Germany.
Holfeld JohannesDepartment of Cardiac Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Griesmacher AndreaCentral Institute of Clinical Chemistry and Laboratory Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Hartikainen TauDepartment of Cardiology and Angiologie, University Heart Center Freiburg-Bad Krozingen, University Medical Center Freiburg, Freiburg, Germany.
Kreibich MaximilianDepartment of Cardiovascular Surgery, University Heart Center Freiburg-Bad Krozingen, University Medical Center Freiburg, Freiburg, Germany.
Grimm MichaelDepartment of Cardiac Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Bonaros NikolaosDepartment of Cardiac Surgery, Medical University of Innsbruck, Innsbruck, Austria.
Berger TimDepartment of Cardiovascular Surgery, University Heart Center Freiburg-Bad Krozingen, University Medical Center Freiburg, Freiburg, Germany.
Gudbjartsson TomasDepartment of Cardiothoracic Surgery, Landspitali University Hospital, Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
Jeppsson AndersDepartment of Cardiothoracic Surgery, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Willeit PeterInstitute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria; Ignaz Semmelweis Institute, Interuniversity Institute for Infection Research, Medical University of Vienna, Vienna, Austria; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
Gollmann-Tepeköylü CanDepartment of Cardiac Surgery, Medical University of Innsbruck, Innsbruck, Austria. Electronic address: Can.gt@i-med.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate diagnosis of perioperative myocardial infarction after coronary artery bypass grafting remains challenging due to uncertainty over postoperative cardiac biomarker interpretation.

objectivesThe authors aimed to evaluate the prognostic value and performance of postoperative creatine kinase-myocardial band (CK-MB) and high-sensitivity cardiac troponin T (hs-cTnT) and explore a combined approach to identify patients at risk of early death.

methodsThis multicenter cohort study involved 9,856 patients undergoing isolated coronary artery bypass grafting at hospitals in Innsbruck, Freiburg, Gothenburg, and Reykjavik. A combined biomarker matrix was created to assess synergistic effects. Associations of biomarkers with 30-day all-cause mortality were evaluated using multivariable Cox regression (adjusted HR) and area under the receiver-operating curve (AUC) analysis.

resultsThirty-day all-cause mortality was 2.0%. Median peak values within 72 hours postsurgery were 2.24 (Q1-Q3: 1.66-3.36) × upper reference limit for CK-MB and 52.06 (Q1-Q3: 29.79-90.00) × upper reference limit for hs-cTnT. Both postoperative CK-MB (adjusted HR: 1.95; 95% CI: 1.79-2.12; P < 0.001) and hs-cTnT (adjusted HR: 1.71; 95% CI: 1.61-1.82; P < 0.001) were associated with higher mortality risk per doubling in concentration independent of EuroSCORE II. Predictive accuracy of CK-MB and hs-cTnT was similar (AUC: 0.787 vs 0.784; P = 0.99), yet stratification using Youden-derived thresholds identified distinct patient subgroups with limited overlap. In a combined analysis, mortality risk was increased only when CK-MB was in the top tertile and hs-cTnT in the mid (adjusted HR: 4.34; 95% CI: 1.78-10.62; P < 0.001) or top tertile (adjusted HR: 14.78; 95% CI: 6.85-31.88; P < 0.001).

conclusionsThe combined use of CK-MB and hs-cTnT enables a simple and robust risk-stratification strategy for early postoperative mortality, with direct implications for clinical surveillance and future cardiac surgery trials.

Indexed as

CABGcardiac biomarkercardiac surgerymyocardial injuryperiprocedural myocardial infarction

Identifiers

PMID42790282
PMCPMC13635570

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