Misdiagnosis of atrial fibrillation and its clinical consequences
- PMID: 15501200
- DOI: 10.1016/j.amjmed.2004.06.024
Misdiagnosis of atrial fibrillation and its clinical consequences
Abstract
Purpose: Computer algorithms are often used for cardiac rhythm interpretation and are subsequently corrected by an overreading physician. The purpose of this study was to assess the incidence and clinical consequences of misdiagnosis of atrial fibrillation based on a 12-lead electrocardiogram (ECG).
Methods: We retrieved 2298 ECGs with the computerized interpretation of atrial fibrillation from 1085 patients. The ECGs were reinterpreted to determine the accuracy of the interpretation. In patients in whom the interpretation was incorrect, we reviewed the medical records to assess the clinical consequences resulting from misdiagnosis.
Results: We found that 442 ECGs (19%) from 382 (35%) of the 1085 patients had been incorrectly interpreted as atrial fibrillation by the computer algorithm. In 92 patients (24%), the physician ordering the ECG had failed to correct the inaccurate interpretation, resulting in change in management and initiation of inappropriate treatment, including antiarrhythmic medications and anticoagulation in 39 patients (10%), as well as unnecessary additional diagnostic testing in 90 patients (24%). A final diagnosis of paroxysmal atrial fibrillation based on the initial incorrect interpretation of the ECGs was generated in 43 patients (11%).
Conclusion: Incorrect computerized interpretation of atrial fibrillation, combined with the failure of the ordering physician to correct the erroneous interpretation, can result in the initiation of unnecessary, potentially harmful medical treatment as well as inappropriate use of medical resources. Greater efforts should be directed toward educating physicians about the electrocardiographic appearance of atrial dysrhythmias and in the recognition of confounding artifacts.
Comment in
-
Overreliance on computerized algorithms to interpret electrocardiograms.Am J Med. 2004 Nov 1;117(9):706-8. doi: 10.1016/j.amjmed.2004.08.006. Am J Med. 2004. PMID: 15501211 No abstract available.
Similar articles
-
Accuracy of electrocardiogram interpretation by cardiologists in the setting of incorrect computer analysis.J Electrocardiol. 2006 Jul;39(3):343-5. doi: 10.1016/j.jelectrocard.2006.02.002. J Electrocardiol. 2006. PMID: 16777525
-
Causes of errors in the electrocardiographic diagnosis of atrial fibrillation by physicians.J Electrocardiol. 2007 Sep-Oct;40(5):450-6. doi: 10.1016/j.jelectrocard.2007.01.003. Epub 2007 Feb 22. J Electrocardiol. 2007. PMID: 17320898
-
Erroneous computer-based interpretations of atrial fibrillation and atrial flutter in a Swedish primary health care setting.Scand J Prim Health Care. 2019 Dec;37(4):426-433. doi: 10.1080/02813432.2019.1684429. Epub 2019 Nov 4. Scand J Prim Health Care. 2019. PMID: 31684791 Free PMC article.
-
Prediction of atrial fibrillation from surface ECG: review of methods and algorithms.Ann Ist Super Sanita. 2003;39(2):195-203. Ann Ist Super Sanita. 2003. PMID: 14587218 Review.
-
Atrial fibrillation.Mt Sinai J Med. 2006 Jan;73(1):482-92. Mt Sinai J Med. 2006. PMID: 16470327 Review.
Cited by
-
How to improve medical students' ECG interpretation skills ? Multicenter survey and results of a comparative study evaluating a new educational approach.BMC Med Educ. 2024 Sep 9;24(1):979. doi: 10.1186/s12909-024-05929-7. BMC Med Educ. 2024. PMID: 39252033 Free PMC article.
-
Electrocardiogram (EKG) knowledge and interpretation proficiency among healthcare professionals in Pakistan: a prospective cross-sectional study.Ann Med Surg (Lond). 2024 Jun 17;86(9):5058-5064. doi: 10.1097/MS9.0000000000002220. eCollection 2024 Sep. Ann Med Surg (Lond). 2024. PMID: 39238999 Free PMC article.
-
Stakeholder perspectives on contributors to delayed and inaccurate diagnosis of cardiovascular disease and their implications for digital health technologies: a UK-based qualitative study.BMJ Open. 2024 May 20;14(5):e080445. doi: 10.1136/bmjopen-2023-080445. BMJ Open. 2024. PMID: 38772579 Free PMC article.
-
An Artificial Intelligence Analysis of Electrocardiograms for the Clinical Diagnosis of Cardiovascular Diseases: A Narrative Review.J Clin Med. 2024 Feb 11;13(4):1033. doi: 10.3390/jcm13041033. J Clin Med. 2024. PMID: 38398346 Free PMC article. Review.
-
Black Box Warning: Large Language Models and the Future of Infectious Diseases Consultation.Clin Infect Dis. 2024 Apr 10;78(4):860-866. doi: 10.1093/cid/ciad633. Clin Infect Dis. 2024. PMID: 37971399 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
