Evidence map›Paper›PMID 41925741›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2026

Preprocedural Systemic Immune-Inflammation Index as a marker of risk for major adverse cardiac events and stroke after transcatheter aortic valve implantation.

Finn Syryca, Johannes Krefting, Costanza Pellegrini, Tobias Rheude, N Patrick Mayr, Charlotte Salzmann, Fabian Starnecker, Moritz von Scheidt, Zsuzsanna Wolf, Stefan Holdenrieder and 12 more

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Article in Clinical research in cardiology : official journal of the German Cardiac Society, 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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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

22 authors.

Finn SyrycaDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany.
Johannes KreftingDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany.
Costanza PellegriniDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany.
Tobias RheudeDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany.
N Patrick MayrInstitute of Anaesthesiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Munich, Germany.
Charlotte SalzmannDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany.
Fabian StarneckerDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany.
Moritz von ScheidtDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany.
Zsuzsanna WolfInstitute of Laboratory Medicine, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Munich, Germany.
Stefan HoldenriederInstitute of Laboratory Medicine, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Munich, Germany.
Thorsten KesslerDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany.
Hendrik B SagerDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany.
Teresa TrenkwalderDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany.
Salvatore CasseseDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany.
Heribert SchunkertDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany.
Adnan KastratiDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany.
Erion XhepaDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany.
Hendrik RugeDepartment of Cardiac Surgery, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Munich, Germany.
Markus KraneDepartment of Cardiac Surgery, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Munich, Germany.
Michael JonerDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany.
Christian GraesserDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany.
Hector A Alvarez-CovarrubiasDepartment of Cardiology, School of Medicine and Health, TUM University Hospital German Heart Center, Technical University Munich, Lazarettstraße 36, 80636, Munich, Germany. alvarez@dhm.mhn.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Systemic Immune-Inflammation Index (SII), calculated as neutrophils × platelets / lymphocytes, reflects the interplay between systemic inflammation and immune status. Its prognostic relevance in patients undergoing transcatheter aortic valve implantation (TAVI) remains poorly understood.

aimTo evaluate the prognostic significance of preprocedural SII in patients undergoing TAVI.

methodsThis retrospective cohort study included 1822 patients undergoing TAVI for severe aortic stenosis between 2014 and 2023 at two TAVI centers in Germany. Patients were divided into derivation and validation cohorts. Preprocedural SII was calculated from differential blood counts. In the derivation cohort, patients were stratified into tertiles based on preprocedural SII. Using receiver operating characteristics (ROC) analysis an optimized cut-off value for the validation cohort was identified to stratify patients into high- and low-risk groups. A generalized linear model (GLM) was used to identify clinical predictors of SII.

resultsIn the derivation cohort, multivariate analysis showed that SII was independently associated with both major adverse cardiovascular events (MACE) (hazard ration [HR]: 1.0001 [1.00001; 1.00002], p = 0.020) and stroke (HR: 1.0003 [1.00002; 1.00004], p < 0.001). In the GLM, SII positively correlated with age (p = 0.013) and C-reactive protein (p < 0.001), and inversely with mean aortic gradient (p = 0.022) and hemoglobin (p = 0.011). In the external validation cohort, high risk patients (cut-off > 1204) showed an increased risk for one-year all-cause mortality (HR: 2.19 [1.59; 3.02], p < 0.001).

conclusionHigher preprocedural SII was independently associated with increase rates of MACE and stroke at one-year following TAVI. A SII cut-off of 1204 effectively stratifies patients into high- and low-risk groups and may provide additional value for preprocedural risk stratification.

Indexed as

Aortic valve stenosissystemic inflammatory indexTranscatheter aortic valve implantation

Identifiers

PMID41925741

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