Literature DB >> 10907776

Evaluating a new graphical ordinal logit method (GOLDminer) in the diagnosis of myocardial infarction utilizing clinical features and laboratory data.

L H Bernstein1, A Qamar, C McPherson, S Zarich.   

Abstract

OBJECTIVE: We used a new graphical ordinal logit method (GOLDminer) to assess a single cardiac troponin T (cTnT) analysis at the time of admission (first generation monoclonal; Roche BMC Corp., Indianapolis, Indiana), the character of chest pain, and electrocardiographic (ECG)findings in predicting the likelihood of acute myocardial infarction (AMI) in patients presenting with suspected myocardial ischemia. The final diagnosis of AMI was based on serial ECG findings and evolution of CKMB isoenzyme levels in conjunction with clinical findings.
SUBJECTS: The study population consisted of 293 consecutive patients who presented at a mean of six hours after onset of chest pain or associated symptoms warranting a "rule-out" for AMI assessment to a university-affiliated community hospital.
RESULTS: The odds-ratio for an elevated cTnT (> 0. 1 ng/ml) in AMI was 22.2:1. There was an association between typical chest pain and cTnT (chi square = 78.23, p < .0001) and between abnormal ECG findings and cTnT (chi square = 108, p < .0001). The cTnT yielded diagnostic benefit in addition to chest pain characteristics and ECG findings in AMI. We present the odds-ratios for the combined features in GOLDminer plots.
CONCLUSION: We demonstrate how the odds-ratios for AMI are obtained after scaling continuous to ordinal the values for a single cTnT determination alone and with other features in patients presenting with chest pain.

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Year:  1999        PMID: 10907776      PMCID: PMC2578974     

Source DB:  PubMed          Journal:  Yale J Biol Med        ISSN: 0044-0086


  18 in total

1.  The Goldman algorithm revisited: prospective evaluation of a computer-derived algorithm versus unaided physician judgment in suspected acute myocardial infarction.

Authors:  A Qamar; C McPherson; J Babb; L Bernstein; M Werdmann; D Yasick; S Zarich
Journal:  Am Heart J       Date:  1999-10       Impact factor: 4.749

2.  Creatine kinase B-subunit activity in serum in cases of suspected myocardial infarction: a prediction model based on the slope of MB increase and percentage CK-MB activity.

Authors:  L H Bernstein; G Reynoso
Journal:  Clin Chem       Date:  1983-03       Impact factor: 8.327

3.  Outcomes research is the fifth discipline of the fifth generation of managed care: utility of a single troponin-T.

Authors:  A Qamar; L H Bernstein; S Zarich
Journal:  Clin Lab Manage Rev       Date:  1998 Mar-Apr

4.  Patients admitted to the coronary care unit for chest pain: high risk subgroup for subsequent cardiovascular death.

Authors:  J S Schroeder; I H Lamb; D C Harrison
Journal:  Am J Cardiol       Date:  1977-05-26       Impact factor: 2.778

Review 5.  Cardiac markers: from enzymes to proteins, diagnosis to prognosis, laboratory to bedside.

Authors:  A H Wu
Journal:  Ann Clin Lab Sci       Date:  1999 Jan-Mar       Impact factor: 1.256

6.  Acute chest pain in the emergency room. Identification and examination of low-risk patients.

Authors:  T H Lee; E F Cook; M Weisberg; R K Sargent; C Wilson; L Goldman
Journal:  Arch Intern Med       Date:  1985-01

Review 7.  Serum enzyme assays in the diagnosis of acute myocardial infarction. Recommendations based on a quantitative analysis.

Authors:  T H Lee; L Goldman
Journal:  Ann Intern Med       Date:  1986-08       Impact factor: 25.391

8.  A computer-derived protocol to aid in the diagnosis of emergency room patients with acute chest pain.

Authors:  L Goldman; M Weinberg; M Weisberg; R Olshen; E F Cook; R K Sargent; G A Lamas; C Dennis; C Wilson; L Deckelbaum; H Fineberg; R Stiratelli
Journal:  N Engl J Med       Date:  1982-09-02       Impact factor: 91.245

9.  Information induction for predicting acute myocardial infarction.

Authors:  R A Rudolph; L H Bernstein; J Babb
Journal:  Clin Chem       Date:  1988-10       Impact factor: 8.327

10.  Improved criteria for admission to cardiac care units.

Authors:  R Fuchs; S Scheidt
Journal:  JAMA       Date:  1981-11-06       Impact factor: 56.272

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