Future concepts in P wave morphological analyses.

The idea of analyzing P wave inscriptions to discriminate between patients with different diseases is not new. Whereas standard approaches deal mainly with an analysis of the duration of the P wave, there is an increasing interest for the P wave morphology. Detailed analysis of the low voltage P wave will require a hardware setup that enables high-quality signal acquisition with low noise interference in combination with an ECG subtraction technique. The feasibility of the surface ECG to detect the presence of an abnormal electrophysiological substrate in the atrial myocardium as well as to localize ectopic atrial rhythms will be enhanced by use of P wave morphological analysis.

P wave analysis indices in young healthy men: data from the digital electrocardiographic study in Hellenic Air Force Servicemen (DEHAS).

P wave analysis from the 12-lead ECG is a recent contribution of noninvasive electrocardiology. P wave analysis indices (maximum and minimum P wave duration, P wave dispersion [Pdis = Pmax-Pmin], adjusted P wave dispersion [APdis = Pdis/square root of measured leads], summated P wave duration [Psum], standard deviation of P wave duration [Psd], mean P wave duration [Pmean]) can predict atrial arrhythmias. However, the definitions of all these indices are based on few studies. The aim of this analysis was to define normal values of these indices and the examine possible associations between P wave indices and clinical variables. The study included 1,353 healthy men, 24 +/- 3 years of age, who answered a questionnaire and underwent a detailed physical examination and a digitized 12-lead surface ECG. All P wave indices were analyzed by two independent investigators. Mean values of the ECG indices were: Pmax: 96 +/- 11 ms, Pmin: 57 +/- 9 ms, Pdis: 38 +/- 10 ms, Psum: 924 +/- 96 ms, Psd: 12 +/- 3, APdis: 11 +/- 3 ms, and Pmean: 77 +/- 8 ms. Age was significantly related with Pmax (r = 0.277, P < 0.01), Pmin (r = 0.255, P < 0.001), Psum (r = 0.074, P < 0.01), and Pmean (r = 0.074, P < 0.01). All ECG indices were significantly associated with the R-R interval, and among each other. This study defined normal indices of wave duration and correlations among them. These markers may play an important predictive role in patients with atrial conduction abnormalities.

The paradoxical association of common polymorphisms of the renin-angiotensin system genes with risk of myocardial infarction.

BACKGROUND: The insertion/deletion polymorphism of the angiotensin-converting enzyme (ACE) and the A1166C polymorphism of the angiotensin-II AT1 receptor (AT1R) have been extensively investigated as possible risk factors for myocardial infarction (MI). DESIGN AND METHODS: Genetic association, case-control study, specifically designed to investigate the association of the above-mentioned polymorphisms with risk of MI in a homogeneous, low coronary risk, Caucasian population. The study population consisted of 1603 consecutive patients with acute MI who were recruited from nine clinics, located in three cities, and 699 unrelated adults who were randomly selected from the city catalogues. RESULTS: In univariate analysis, the DD genotype was found to be more prevalent among controls (40.8 vs. 35.2%, P=0.011). In multivariate analysis adjusted for age, gender, smoking status, diabetes mellitus, hypercholesterolaemia, hypertension and family history of coronary artery disease, the presence of the DD genotype was independently and negatively associated with risk of AMI (RR=0.743, 95% CI=0.595-0.927, P=0.008). The CC genotype was not found to be significantly associated with risk of MI, either in univariate (6.2 vs. 6.4%, P=0.856), or in multivariate analysis adjusted for the same confounders (RR=0.743, 95% CI=0.473-1.167, P=0.197). CONCLUSIONS: Contrary to previous reports, in this study the DD genotype of the ACE gene, but not the CC genotype of the AT1R gene, was associated with a lower risk of MI. Our results emphasize the complexity of genotype-phenotype interactions in the pathogenesis of ischaemic heart disease and question the previously hypothesized role of the DD genotype on risk of acute myocardial infarction.