Literature DB >> 3280998

A computer protocol to predict myocardial infarction in emergency department patients with chest pain.

L Goldman1, E F Cook, D A Brand, T H Lee, G W Rouan, M C Weisberg, D Acampora, C Stasiulewicz, J Walshon, G Terranova.   

Abstract

To achieve more appropriate triage to the coronary care unit of patients presenting with acute chest pain, we used clinical data on 1379 patients at two hospitals to construct a simple computer protocol to predict the presence of myocardial infarction. When we tested this protocol prospectively in 4770 patients at two university hospitals and four community hospitals, the computer-derived protocol had a significantly higher specificity (74 vs. 71 percent) in predicting the absence of infarction than physicians deciding whether to admit patients to the coronary care unit, and it had a similar sensitivity in detecting the presence of infarction (88.0 vs. 87.8 percent). Decisions based solely on the computer protocol would have reduced the admission of patients without infarction to the coronary care unit by 11.5 percent without adversely affecting the admission of patients in whom emergent complications developed that required intensive care. Although this protocol should not be used to override careful clinical judgment in individual cases, the computer protocol for the most part yields accurate estimates of the probability of myocardial infarction. Decisions about admission to the coronary care unit based on the protocol would have been as effective as those actually made by the unaided physicians who cared for the patients, and less costly. Whether physicians who are aided by the protocol perform better than unaided physicians cannot be determined without further study.

Entities:  

Mesh:

Year:  1988        PMID: 3280998     DOI: 10.1056/NEJM198803313181301

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


  71 in total

1.  Chest pain evaluation units

Authors: 
Journal:  West J Med       Date:  2000-12

2.  Reference standards, judges, and comparison subjects: roles for experts in evaluating system performance.

Authors:  George Hripcsak; Adam Wilcox
Journal:  J Am Med Inform Assoc       Date:  2002 Jan-Feb       Impact factor: 4.497

3.  Diagnostic accuracy of the TIMI risk score in patients with chest pain in the emergency department: a meta-analysis.

Authors:  Erik P Hess; Dipti Agarwal; Subhash Chandra; Mohammed H Murad; Patricia J Erwin; Judd E Hollander; Victor M Montori; Ian G Stiell
Journal:  CMAJ       Date:  2010-06-07       Impact factor: 8.262

4.  Impact of the availability of a prior electrocardiogram on the triage of the patient with acute chest pain.

Authors:  T H Lee; E F Cook; M C Weisberg; G W Rouan; D A Brand; L Goldman
Journal:  J Gen Intern Med       Date:  1990 Sep-Oct       Impact factor: 5.128

5.  Reducing unnecessary coronary care unit admissions: a comparison of three decision aids.

Authors:  G Davison; A L Suchman; B J Goldstein
Journal:  J Gen Intern Med       Date:  1990 Nov-Dec       Impact factor: 5.128

6.  Evaluating decision aids: the next painful step.

Authors:  T H Lee
Journal:  J Gen Intern Med       Date:  1990 Nov-Dec       Impact factor: 5.128

7.  Predicting chemically induced duodenal ulcer and adrenal necrosis with classification trees.

Authors:  C Giampaolo; A T Gray; R A Olshen; S Szabo
Journal:  Proc Natl Acad Sci U S A       Date:  1991-07-15       Impact factor: 11.205

8.  Evaluation of a diagnostic algorithm for heart disease in neonates.

Authors:  R C Franklin; D J Spiegelhalter; F J Macartney; K Bull
Journal:  BMJ       Date:  1991-04-20

Review 9.  Advances in the early diagnosis and management of acute myocardial infarction.

Authors:  R Vincent
Journal:  J Accid Emerg Med       Date:  1996-03

10.  Correlates of major complications and mortality in patients presenting to the emergency department with chest pain and more than bibasilar rales.

Authors:  M H Chin; E F Cook; T H Lee; L Goldman
Journal:  J Gen Intern Med       Date:  1994-12       Impact factor: 5.128

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.