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Proceedings of the Annual Symposium on Computer Application in Medical Care logoLink to Proceedings of the Annual Symposium on Computer Application in Medical Care
. 1992:567–571.

Anticoagulation therapy advisor: a decision-support system for heparin therapy during ECMO.

R L Peverini 1, M Sale 1, W D Rhine 1, L M Fagan 1, L A Lenert 1
PMCID: PMC2248144  PMID: 1482937

Abstract

We present a case study describing our development of a mathematical model to control a clinical parameter in a patient--in this case, the degree of anticoagulation during extracorporeal membrane oxygenation (ECMO) support. During ECMO therapy, an anticoagulant agent (heparin) is administered to prevent thrombosis. Under- or over-coagulation can have grave consequences. To improve control of anticoagulation, we developed a pharmacokinetic-pharmacodynamic (PK-PD) model that predicts activated clotting times (ACT) using the NONMEM program. We then integrated this model into a decision-support system, and validated it with an independent data set. The population model had a mean absolute error of prediction for ACT values of 33.5 seconds, with a mean bias in estimation of -14.3 seconds. Individualization of model-parameter estimates using nonlinear regression improved the absolute error prediction to 25.5 seconds, and lowered the mean bias to -3.1 seconds. The PK-PD model is coupled with software for heuristic interpretation of model results to provide a complete environment for the management of anticoagulation.

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Selected References

These references are in PubMed. This may not be the complete list of references from this article.

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