Skip to main content

Improved Estimation of Operative Risk After Heart Valve Replacement: Medical Decision-Making Based on Multivariate Logistic Regression Analysis

  • Conference paper
Objective Medical Decision-Making Systems Approach in Disease

Part of the book series: Lecture Notes in Medical Informatics ((LNMED,volume 28))

  • 71 Accesses

Abstract

This study presents our experience on estimating the individual operative risk of patients after heart valve replacement. Although operative mortality has decreased during the last decade as a consequence of improved operative techniques, the early mortality after heart valve replacement still ranges from about 4 to 12%, depending on the position and the number of the implanted valves (1). There are of course subgroups of patients with significantly lower or higher average risk. It is important to separate these subgroups of patients in order to be able to define the conditions associated with minimum risk and also to be able to define and to be aware of the conditions leading to high operative risk.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Rodewald, G., and M.-J. Polonius: Cardiac surgery in the Federal Republic of Germany during 1983. A report by the German Society for Thoracic and Cardiovascular Surgery. Thorac. cardiovasc. Surggeon 32, 395–397 (1984).

    Article  Google Scholar 

  2. Engelman, L.: Stepwise logistic regression. BMDP - Statistical software 1981 edition, Dept. of Biomathematics, Univ. of California. L.A., Univ. of Calif. Press (1981)

    Google Scholar 

  3. Kennedy, J.W., G.C. Kaiser, L.D. Fisher, C. Maynard, J.G. Mudd, T.J. Ryan, and J. Coggin: Multivariate discriminant analysis of the clinical and angiographic predictors of operative mortality from the Colloborative Study in Coronary Artery Surgery (CASS). J. Thorac. Cardiovasc. Surg. 80, 876–887 (1980).

    Google Scholar 

  4. Olthof, H., F.J.L. van Capelle, J. Boville, J.J. Koolen, A.C. Moulijin, K.I. Lie, and N.G. Meijne: Risk of operative mortality in surgery for coronary heart disease (A multiple regression analysis of perioperative hemodynamic and electrocardiographic data) Thorac. cardiovasc. Surgeon 31, 224–229 (1983).

    Article  Google Scholar 

  5. Holper, K., H. Federkiel, D. Hdlzel, F. Sebening: Influence of perfusion pressure during extracorporeal circulation for heart valve replacement on postoperative myocardial and renal failure. In: Thirty years of extracorporeal circulation, S. Hagl, W.P. Kldvekorn, N. Mayr, F. Sebening eds., Deutsches Herzzentrum München (1984).

    Google Scholar 

  6. Büttner, H.: Optimization of laboratory testing. In: Logic and economics of clinical laboratory use, E.S. Benson and M. Rubin eds., Elsevier, New York, 91–102 (1978).

    Google Scholar 

  7. Werner, M.: Will abstract models change the practice of medicine? In: Logic and economics of clinical laboratory use, E.S. Benson and M. Rubin eds., Elsevier, New York, 41–46 (1978).

    Google Scholar 

  8. Galen, R.S.: Beyond normality: An update. In: Logic and economics of clinical laboratory use, E.S. Benson and M. Rubin eds., Elsevier, New York, 103–112 (1978).

    Google Scholar 

  9. Hologgitas, J.V., and H.F. Martin: Assessing clinical utility of specifying reference values by age, sex, and body weight. In: Logic and economics of clinical laboratory use, E.S. Benson and M. Rubin eds., Elsevier, New York, 129–137 (1978).

    Google Scholar 

  10. Weinstein, M.C., H.V. Fineberg: Clinical decision analysis. W.B. Saunders and Co. Philadelphia, London, Toronto (1980).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1986 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Holper, K., Federkiel, H., Hölzel, D., Balteskonis, S., Sebening, F. (1986). Improved Estimation of Operative Risk After Heart Valve Replacement: Medical Decision-Making Based on Multivariate Logistic Regression Analysis. In: Tsiftsis, D.D. (eds) Objective Medical Decision-Making Systems Approach in Disease. Lecture Notes in Medical Informatics, vol 28. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93308-0_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-93308-0_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-16100-4

  • Online ISBN: 978-3-642-93308-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics