Diagnosis of acute myocardial infarction from two measurements of creatine kinase isoenzyme MB with use of nonparametric probability estimation.

Diagnosis of acute myocardial infarction from two measurements of creatine kinase isoenzyme MB... Abstract By using bivariate probability estimation for the diagnosis of acute myocardial infarction (AMI) we show how to overcome the difficulties encountered for patients whose clinical presentation is atypical and those encountered when multiple isoenzyme determinations are treated by univariate methods. We use the values for creatine kinase isoenzyme MB measured at the time of admission and 12 h later to estimate the Bayes factors in favor of AMI. The Bayes factors are compiled into a table that the clinician can use to estimate the posterior probability that a patient has AMI. The table of Bayes factors is based on data for a sample of 802 non-AMI patients and 180 AMI patients. Further to validate the method, we randomly chose 200 of the non-AMI and 50 of the AMI patients as an evaluation sample, then used the remaining 602 non-AMI and 130 AMI patients to recompute the Bayes factors. These Bayes factors were used to find the probability of AMI for each of the 250 patients in the evaluation sample. The method resulted in only one false positive and no false negatives. For the misclassified patient the measurements at admission and 12 h later were 1 and 11 U/L; the posterior odds were 15 to 1 in favor of AMI, but in fact the patient was non-AMI. © 1989 The American Association for Clinical Chemistry « Previous | Next Article » Table of Contents This Article Clinical Chemistry March 1989 vol. 35 no. 3 444-447 » Abstract PDF Services Email this article to a friend Alert me when this article is cited Alert me if a correction is posted Similar articles in this journal Similar articles in Web of Science Similar articles in PubMed Download to citation manager Responses No responses published Citing Articles Load citing article information Citing articles via Web of Science Citing articles via Google Scholar Google Scholar Articles by Bernstein, L. H. Articles by Babb, J. Search for related content PubMed PubMed citation Articles by Bernstein, L. H. Articles by Babb, J. Related Content Load related web page information Follow Us Clinical Chemistry Trainee Council Register Today! www.traineecouncil.org Information for Authors Submit a Manuscript Editorial Board Clinical Case Studies Clinical Chemistry Guide to Scientific Writing Journal Club Podcasts Translated Content Annual Meeting Abstracts Permissions and Reprints Advertising Copyright © 2012 by the American Association for Clinical Chemistry http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Clinical Chemistry American Association for Clinical Chemistry

Diagnosis of acute myocardial infarction from two measurements of creatine kinase isoenzyme MB with use of nonparametric probability estimation.

Loading next page...
 
/lp/american-association-for-clinical-chemistry/diagnosis-of-acute-myocardial-infarction-from-two-measurements-of-wWsLTPVtG4
Publisher
American Association for Clinical Chemistry
Copyright
Copyright © 1989 by the American Association for Clinical Chemistry.
ISSN
0009-9147
eISSN
1530-8561
Publisher site
See Article on Publisher Site

Abstract

Abstract By using bivariate probability estimation for the diagnosis of acute myocardial infarction (AMI) we show how to overcome the difficulties encountered for patients whose clinical presentation is atypical and those encountered when multiple isoenzyme determinations are treated by univariate methods. We use the values for creatine kinase isoenzyme MB measured at the time of admission and 12 h later to estimate the Bayes factors in favor of AMI. The Bayes factors are compiled into a table that the clinician can use to estimate the posterior probability that a patient has AMI. The table of Bayes factors is based on data for a sample of 802 non-AMI patients and 180 AMI patients. Further to validate the method, we randomly chose 200 of the non-AMI and 50 of the AMI patients as an evaluation sample, then used the remaining 602 non-AMI and 130 AMI patients to recompute the Bayes factors. These Bayes factors were used to find the probability of AMI for each of the 250 patients in the evaluation sample. The method resulted in only one false positive and no false negatives. For the misclassified patient the measurements at admission and 12 h later were 1 and 11 U/L; the posterior odds were 15 to 1 in favor of AMI, but in fact the patient was non-AMI. © 1989 The American Association for Clinical Chemistry « Previous | Next Article » Table of Contents This Article Clinical Chemistry March 1989 vol. 35 no. 3 444-447 » Abstract PDF Services Email this article to a friend Alert me when this article is cited Alert me if a correction is posted Similar articles in this journal Similar articles in Web of Science Similar articles in PubMed Download to citation manager Responses No responses published Citing Articles Load citing article information Citing articles via Web of Science Citing articles via Google Scholar Google Scholar Articles by Bernstein, L. H. Articles by Babb, J. Search for related content PubMed PubMed citation Articles by Bernstein, L. H. Articles by Babb, J. Related Content Load related web page information Follow Us Clinical Chemistry Trainee Council Register Today! www.traineecouncil.org Information for Authors Submit a Manuscript Editorial Board Clinical Case Studies Clinical Chemistry Guide to Scientific Writing Journal Club Podcasts Translated Content Annual Meeting Abstracts Permissions and Reprints Advertising Copyright © 2012 by the American Association for Clinical Chemistry

Journal

Clinical ChemistryAmerican Association for Clinical Chemistry

Published: Mar 1, 1989

There are no references for this article.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off