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[Feasibility of chronic pulmonary heart diagnosis by ECG criteria]
Insights
Electrocardiography (ECG) in 12 leads shows promise for diagnosing pulmonary heart disease. This noninvasive method accurately identified the condition in 81.3% of cases, aiding clinical diagnosis.
Area of Science:
- Cardiology
- Diagnostic Imaging
Background:
- Pulmonary heart disease diagnosis relies on various methods.
- Electrocardiography (ECG) is a widely available, noninvasive tool.
Purpose of the Study:
- To evaluate the diagnostic value of standard 12-lead ECG for pulmonary heart disease.
- To develop and validate an ECG-based diagnostic algorithm.
Main Methods:
- Analysis of ECG data from patients with confirmed, suspected, and no pulmonary heart disease.
- Selection and development of informative ECG criteria.
- Creation of a diagnostic algorithm and software for IBM PC.
Main Results:
- 215 ECG criteria were analyzed, with 19 informative indices selected and 19 new ones developed.
- A diagnostic algorithm based on 17 significant criteria was created.
- Blind testing confirmed clinical diagnosis in 81.3% of cases, with 6.2% hypodiagnosis and 12.5% hyperdiagnosis.
Conclusions:
- The standard 12-lead ECG method is a promising tool for diagnosing pulmonary heart disease.
- The developed algorithm demonstrated significant diagnostic accuracy.
Aim:
To determine diagnostic value of the method of ECG in 12 conventional leads for diagnosis of pulmonary heart.
Materials And Methods:
The ECG data for 41 patients with clinical diagnosis "pulmonary heart", a risk group of 59 patients with suspected diagnosis "pulmonary heart" and healthy residents of the Komi Republic (n = 968) and Arkhangelsk region (n = 62) have been analysed. The ECGs were recorded using standard electrocardiographs with manual measurement of the amplitude and temporal parameters.
Results:
We have analysed 215 diagnostic ECG criteria of "pulmonary heart" used in practice, selected 19 informative indices and developed 19 new ones. On the basis of 17 most significant criteria a short algorithm and a program of diagnosis of "pulmonary heart" for IBM PC have been elaborated. The test of the algorithm efficiency by a blind method confirmed the clinical diagnosis in 81.3% of cases, hypodiagnosis and hyperdiagnosis in 6.2 and 12.5%, respectively.
Conclusion:
A widespread and noninvasive ECG method proved promising in diagnosis of pulmonary heart.