Evidence map›Paper›PMID 30600467›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2019

Estimating the additional costs per life saved due to transcatheter aortic valve replacement: a secondary data analysis of electronic health records in Germany.

Klaus Kaier, Constantin von Zur Mühlen, Andreas Zirlik, Wolfgang Bothe, Philip Hehn, Manfred Zehender, Christoph Bode, Peter Stachon

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. TF-TAVI and SAVR post-procedural complications in Germany 2021/2022 - impact on healthcare resource consumption.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  4. Article
  5. Article
  6. Article
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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

8 authors.

Klaus KaierInstitute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Constantin von Zur MühlenDepartment of Cardiology and Angiology I, Heart Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79104, Freiburg, Germany.
Andreas ZirlikDepartment of Cardiology and Angiology I, Heart Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79104, Freiburg, Germany.
Wolfgang BotheDepartment of Cardiac and Vascular Surgery, Heart Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Philip HehnInstitute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Manfred ZehenderDepartment of Cardiology and Angiology I, Heart Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79104, Freiburg, Germany.
Christoph BodeDepartment of Cardiology and Angiology I, Heart Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79104, Freiburg, Germany.
Peter StachonDepartment of Cardiology and Angiology I, Heart Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79104, Freiburg, Germany. peter.stachon@universitaets-herzzentrum.de.ORCID http://orcid.org/0000-0002-3796-1476

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aortic stenosis (AS) is the most common valvular heart disease, with a dismal prognosis when untreated. Recommended therapy is surgical (SAVR) or transcatheter (TAVR) aortic valve replacement. Based on a retrospective cohort of isolated SAVR and TAVR procedures performed in Germany in 2015 (N = 17,826), we examine the impact of treatment selection on in-hospital mortality and total in-hospital costs for a variety of at-risk populations. Since patients were not randomized to the two treatment options, the two endpoints in-hospital mortality and reimbursement are analyzed using logistic and linear regression models with 20 predefined patient characteristics as potential confounders. Incremental cost-effectiveness ratios were calculated as a ratio of the risk-adjusted reimbursement and mortality differences with 95% confidence intervals obtained by Fieller's theorem. Our study shows that TF-TAVR is more costly that SAVR and that cost differences between the procedures vary little between patient groups. Results regarding in-hospital mortality are mixed. SAVR is the predominant procedure among younger patients. For patients older than 85 years or at intermediate and higher pre-operative risk TF-TAVR seems to be the treatment of choice. Incremental cost-effectiveness ratios (ICER) are most favorable for patients older than 85 years (ICER €154,839, 95% CI €89,163-€302,862), followed by patients at higher pre-operative risk (ICER €413,745, 95% CI €258,027-€952,273). A hypothetical shift from SAVR towards TF-TAVR among patients at intermediate pre-operative risk is associated with a less favorable ICER (€1,486,118, 95% CI €764,732-€23,692,323), as the risk-adjusted mortality benefit is relatively small (- 0.97% point), while the additional reimbursement is still eminent (+€14,464). From a German healthcare system payer's perspective, the additional costs per life saved due to TAVR are most favorable for patients older than 85 and/or at higher pre-operative risk.

Indexed as

AgedAged, 80 and overAortic Valve StenosisCost SavingsElectronic Health RecordsFemaleGermanyHeart Valve Prosthesis ImplantationHospital CostsHospital MortalityHumansLinear ModelsLogistic ModelsMaleTranscatheter Aortic Valve ReplacementCostICERSurgical aortic valve replacementTranscatheter aortic valve replacement

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.