Literature DB >> 8896849

On line ST-segment analysis for detection of myocardial ischaemia during and after coronary revascularization.

D M Ansley1, J P O'Connor, P M Merrick, D R Ricci, J Dolman, P Kapnoudhis.   

Abstract

PURPOSE: A paucity of information exists to validate the accuracy and reliability of ECG monitoring in the operating room or ICU. The purpose of this study was to determine the accuracy, sensitivity, specificity, and predictive values of the Marquette ECG monitor for detection of perioperative myocardial ischaemia (PMI) as measured by ST segment changes in a high risk population.
METHODS: Monitoring for PMI in 28 patients scheduled for aortocoronary bypass surgery was done with the Cardiodata PR ambulatory continuous electrocardiography (ACECG) monitor lead V5, and compared with lead V5 of the Marquette Series 7000 ECG/Surgical operating room monitor, and ECG/Resp ICU monitor. The Marquette lead V5 was evaluated using current criteria for the assessment of diagnostic tests including concordance, sensitivity, specificity, positive and negative predictive values, false positive and false negative rates and compared with the ACECG monitor which served as the reference or "gold standard." Agreement beyond chance between the two methods was assessed using the Kappa statistic.
RESULTS: Of the 53 observation data points, 27 were defined as ischaemic episodes by ACECG. Concordance between lead V5 in each system was 83% (44/53 episodes). Discordance was 17% (9/53 episodes), predominantly in the postbypass interval (77%, 7/9; P = 0.0184). The incidences of false negatives and false positives for Marquette lead V5 was 26% (7/27) and 7.7% (2/26), respectively. The sensitivity and specificity of the Marquette was 0.74 and 0.92. Positive predictive value was 0.91, negative predictive value was 0.77, and Kappa statistic was 66%.
CONCLUSION: Automated ST segment analysis with the Marquette Series 7000 monitoring system demonstrates good diagnostic accuracy, moderate sensitivity, and high specificity. However, clinically significant false negative and false positive rates of ischaemia detection are associated with its use, especially in the postoperative period.

Entities:  

Mesh:

Year:  1996        PMID: 8896849     DOI: 10.1007/BF03011899

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


  16 in total

1.  How to read clinical journals: II. To learn about a diagnostic test.

Authors: 
Journal:  Can Med Assoc J       Date:  1981-03-15       Impact factor: 8.262

2.  The assessment of diagnostic tests. A survey of current medical research.

Authors:  S B Sheps; M T Schechter
Journal:  JAMA       Date:  1984-11-02       Impact factor: 56.272

3.  Incidence of perioperative myocardial ischemia detected by different electrocardiographic systems.

Authors:  S Slogoff; A S Keats; Y David; S R Igo
Journal:  Anesthesiology       Date:  1990-12       Impact factor: 7.892

4.  Relationship of regional wall motion abnormalities to hemodynamic indices of myocardial oxygen supply and demand in patients undergoing CABG surgery.

Authors:  J M Leung; B F O'Kelly; D T Mangano
Journal:  Anesthesiology       Date:  1990-11       Impact factor: 7.892

5.  Analysis of ST-segment changes in normal subjects: implications for ambulatory monitoring in angina pectoris.

Authors:  J E Deanfield; P Ribiero; K Oakley; S Krikler; A P Selwyn
Journal:  Am J Cardiol       Date:  1984-12-01       Impact factor: 2.778

6.  Changes in serum creatine kinase and lactate dehydrogenase caused by acute perioperative myocardial infarction and by transatrial cardiac surgical procedures.

Authors:  G M Graeber; F A Shawl; H D Head; R E Wolf; J R Burge; P J Cafferty; F C Lough; R Zajtchuk
Journal:  J Thorac Cardiovasc Surg       Date:  1986-07       Impact factor: 5.209

7.  Perioperative myocardial ischemia: importance of the preoperative ischemic pattern.

Authors:  A A Knight; M Hollenberg; M J London; J Tubau; E Verrier; W Browner; D T Mangano
Journal:  Anesthesiology       Date:  1988-05       Impact factor: 7.892

8.  Silent ischemia as a marker for early unfavorable outcomes in patients with unstable angina.

Authors:  S O Gottlieb; M L Weisfeldt; P Ouyang; E D Mellits; G Gerstenblith
Journal:  N Engl J Med       Date:  1986-05-08       Impact factor: 91.245

9.  Spurious ST segment depression by automated ST segment analysis.

Authors:  S Brooker; E Lowenstein
Journal:  J Clin Monit       Date:  1995-05

10.  Detection of intraoperative myocardial ischaemia--a comparison among electrocardiographic, myocardial metabolic, and haemodynamic measurements in patients with reduced ventricular function.

Authors:  R I Hall; N O'Regan; M Gardner
Journal:  Can J Anaesth       Date:  1995-06       Impact factor: 5.063

View more
  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

北京卡尤迪生物科技股份有限公司 © 2022-2023.