American Journal of Cardiology
Volume 96, Issue 11 , Pages 1584-1588 , 1 December 2005

Comparative Accuracy of Manual Versus Computerized Electrocardiographic Measurement of J-, ST- and T-Wave Deviations in Patients With Acute Coronary Syndrome

  • Markku J. Eskola, MD

      Affiliations

    • Heart Center, Tampere University Hospital, Tampere, Finland
    • Corresponding Author InformationCorresponding author: Tel: 358-3-311-66080; fax: 358-3-311-64157.
    • ,
  • Kjell C. Nikus, MD

      Affiliations

    • Heart Center, Tampere University Hospital, Tampere, Finland
    • ,
  • Liisa-Maria Voipio-Pulkki, MD, PhD

      Affiliations

    • Department of Medicine, University of Helsinki, Helsinki, Finland
    • ,
  • Heini Huhtala, MSc

      Affiliations

    • School of Public Health, University of Tampere, Tampere, Finland
    • ,
  • Tiina Parviainen, MSc

      Affiliations

    • Research Unit, Tampere University Hospital, Tampere, Finland
    • ,
  • Juha Lund, MD

      Affiliations

    • Department of Medicine, University of Turku, Turku, Finland.
    • ,
  • Tuomo Ilva, MD

      Affiliations

    • Department of Medicine, University of Turku, Turku, Finland.
    • ,
  • Pekka Porela, MD, PhD

      Affiliations

    • Department of Medicine, University of Turku, Turku, Finland.

Received 13 April 2005 ,Revised 7 July 2005 ,Accepted 7 July 2005.

References 

  1. Menown IBA , MacKenzie G , Adgey AAJ . Optimizing the initial 12-lead electrocardiographic diagnosis of acute myocardial infarction . Eur Heart J . 2000;21:275–283
  2. Elko PP , Rowlandson I . A statistical analysis of the ECG measurements used in computerized interpretation of acute anterior myocardial infarction with applications to interpretive criteria development . J Electrocardiol . 1992;25(suppl):113–119
  3. Porela P , Luotolahti M , Helenius H , Pulkki K , Voipio-Pulkki LM . Automated electrocardiographic scores to estimate myocardial injury size during the course of acute myocardial infarction . Am J Cardiol . 1999;83:949–952
  4. Van de Werf F, Ardissino D, Betriu A, Cokkinos DV, Falk E, Fox KAA, et al  Management of acute myocardial infarction in patients presenting with ST-segment elevation. The Task Force on the Management of Acute Myocardial Infarction of the European Society of Cardiology . Eur Heart J . 2003;24:28–66
  5. Braunwald E, Antman EM, Beasley JW, Califf RM, Cheitlin MD, Hochman JS, Jones RH, Kereiakes D, Kupersmith J, Levin TN, et al. ACC/AHA 2002 guideline update for the management of patients with unstable angina and non-ST-segment elevation myocardial infarction: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee on the Management of Patients With Unstable Angina). Available at: http://www.acc.org/clinical/guidelines/unstable/unstable.pdf. Accessed October 24, 2005.
  6. Zimetbaum PJ , Josephson ME . Use of the electrocardiogram in acute myocardial infarction . N Eng J Med . 2003;348:933–940
  7. Altman DG . In: Practical statistics for medical research . London, United Kingdom: Chapman & Hall; 1991;p. 404
  8. Bland JM , Altman DG . Statistical methods for assessing agreement between two methods of clinical measurement . Lancet . 1986;327:307–310
  9. Rautaharju PM , Seale D , Prineas R , Wolf H , Crow R , Warren J . Changing electrocardiographic recording technology and diagnostic accuracy of myocardial infarction criteria. Improved standards for evaluation of ECG measurement precision . J Electrocardiol . 1978;11:321–330
  10. Haisty WK , Pahlm O , Wagner NB , Pope JE , Wagner GS . Performance of the automated complete Selvester QRS scoring system in normal subjects and patients with single and multiple myocardial infarctions . J Am Coll Cardiol . 1992;19:341–346
  11. Pope JE , Wagner NB , Dubow D , Edmonds JH , Wagner GS , Haisty WK . Development and validation of an automated method of the Selvester QRS scoring system for myocardial infarct size . Am J Cardiol . 1988;61:734–738
  12. Rotman B , Eber B , Duslag J , Fluch N , Weinrauch V , Klein W . Comparison of different methods of ST measurement for evaluation of myocardial ischaemia in Holter monitoring . Eur Heart J . 1988;9(suppl):78–84
  13. Pelter MM , Adams MG , Drew BJ . Computer versus manual measurement of ST-segment deviation . J Electrocardiol . 1996;30:151–156
  14. Lamfers EJ, Schut A, Hertzberger DP, Hooghoudt TE, Stolwijk PW, Boersma E, et al. Prehospital versus hospital fibrinolytic therapy using automated versus cardiologist electrocardiographic diagnosis of myocardial infarction (abortion of myocardial infarction and unjustified fibrinolytic therapy) . Am Heart J . 2004;147:509–515
  15. Massel D , Dawdy JA , Melendez LJ . Strict reliance on a computer algorithm or measurable ST segment criteria may lead to errors in thrombolytic therapy eligibility . Am Heart J . 2000;140:221–226
  16. Goodacre S , Webster A , Morris F . Do computer generated ECG reports improve interpretation by accident and emergency senior house officers? . Postgrad Med J . 2001;77:455–457
  17. Holmvang L , Hasbak P , Clemmensen P , Wagner G , Grande P . Differences between local investigator and core laboratory interpretation of the admission electrocardiogram in patients with unstable angina pectoris or non-Q-wave myocardial infarction (a Thrombin Inhibition in Myocardial Ischemia [TRIM] substudy) . Am J Cardiol . 1998;82:54–60

 This study was supported financially by the Aarne Koskelo Foundation, Espoo; the Instrumentarium Science Foundation, Helsinki, and the medical research funds of Turku University Central Hospital, Turku, Finland, and Helsinki University Central Hospital, Helsinki, Finland.

PII: S0002-9149(05)01458-X

doi: 10.1016/j.amjcard.2005.07.075

American Journal of Cardiology
Volume 96, Issue 11 , Pages 1584-1588 , 1 December 2005

Article Tools

* Image Usage & Resolution