Literature DB >> 8896857

Intraoperative automated ST segment analysis: a reliable 'black box'?

H Yang1.   

Abstract

PURPOSE: To review the application of intraoperative computerized ST analysis and its potential impact on postoperative outcomes. SOURCE: Existing anaesthesia and cardiology literature. PRINCIPAL
FINDINGS: Computerized ST analysis was introduced into the operating room using exercise electrocardiographic (ECG) systems. In spite of sophisticated algorithms, errors do occur. Downsloping or horizontal ST depression are the classical criteria for ischaemia. Although algorithms have been developed and evaluated in exercise stress testing, only limited evaluation has been carried out in the operating room. This may be a concern since circumstances in the operating room may frequently lead to false positives. Similarly, studies suggest that all myocardial ischaemia may not exhibit ST changes. The diagnostic accuracy of ST depression in exercise stress testing also cannot be assumed in the operating room. Finally, if ST analysis is applied widely, without considering the population or disease prevalence, misdiagnosis may occur.
CONCLUSION: Given the number of anaesthetic tasks at-hand, on-line computerized ST analysis in the operating room can be a useful asset. The technology has its problems and should be applied with an understanding of its limitations and potential for errors. It should be applied in the operating room within the context of the population and disease prevalence.

Entities:  

Mesh:

Year:  1996        PMID: 8896857     DOI: 10.1007/BF03011907

Source DB:  PubMed          Journal:  Can J Anaesth        ISSN: 0832-610X            Impact factor:   5.063


  61 in total

1.  WHAT ELECTROCARDIOGRAPHIC LEADS TO TAKE AFTER EXERCISE?

Authors:  H BLACKBURN; R KATIGBAK
Journal:  Am Heart J       Date:  1964-02       Impact factor: 4.749

2.  Multiple-lead exercise electrocardiography. Experience in 107 normal subjects and 67 patients with angina pectoris, and comparison with coronary cinearteriography in 84 patients.

Authors:  R E Mason; I Likar; R O Biern; R S Ross
Journal:  Circulation       Date:  1967-10       Impact factor: 29.690

3.  On-line analysis of the exercise electrocardiogram.

Authors:  L T Sheffield; J H Holt; F M Lester; D V Conroy; T J Reeves
Journal:  Circulation       Date:  1969-12       Impact factor: 29.690

4.  Intraoperative detection of myocardial ischemia with an ST segment trend monitoring system.

Authors:  K J Kotrly; G S Kotter; D Mortara; J P Kampine
Journal:  Anesth Analg       Date:  1984-03       Impact factor: 5.108

5.  Diagnostic value of exercise-induced S-T segment depression in patients with right bundle branch block.

Authors:  T Tanaka; M J Friedman; R D Okada; L J Buckels; F I Marcus
Journal:  Am J Cardiol       Date:  1978-04       Impact factor: 2.778

6.  Identification of patients with left main and three vessel coronary disease with clinical and exercise test variables.

Authors:  D A Weiner; C H McCabe; T J Ryan
Journal:  Am J Cardiol       Date:  1980-07       Impact factor: 2.778

7.  Effect of ST segment measurement point on performance of standard and heart rate-adjusted ST segment criteria for the identification of coronary artery disease.

Authors:  P M Okin; G Bergman; P Kligfield
Journal:  Circulation       Date:  1991-07       Impact factor: 29.690

8.  Upsloping S-T segments in exercise stress testing. Six year follow-up study of 438 patients and correlation with 248 angiograms.

Authors:  R J Stuart; M H Ellestad
Journal:  Am J Cardiol       Date:  1976-01       Impact factor: 2.778

9.  Myocardial ischemia during non-cardiac surgical procedures in patients with coronary-artery disease.

Authors:  W L Roy; G Edelist; B Gilbert
Journal:  Anesthesiology       Date:  1979-11       Impact factor: 7.892

10.  A comparison of methods for the detection of myocardial ischemia during noncardiac surgery: automated ST-segment analysis systems, electrocardiography, and transesophageal echocardiography.

Authors:  J E Ellis; M N Shah; J E Briller; M F Roizen; S Aronson; S B Feinstein
Journal:  Anesth Analg       Date:  1992-11       Impact factor: 5.108

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  2 in total

1.  A knowledge-based technique for automated detection of ischaemic episodes in long duration electrocardiograms.

Authors:  C Papaloukas; D I Fotiadis; A P Liavas; A Likas; L K Michalis
Journal:  Med Biol Eng Comput       Date:  2001-01       Impact factor: 2.602

2.  Predicting ischaemic events in the perioperative period: in search of the perfect tool.

Authors:  J C Tardif; M Juneau
Journal:  Can J Anaesth       Date:  1996-10       Impact factor: 5.063

  2 in total

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