The prognostic importance of isolated P-Wave abnormalities.
BACKGROUND
While certain P-Wave morphologies have been associated with abnormal atrial size and either pulmonary or cardiovascular (CV) disease, their relationship to mortality and specific cause of death has not been reported.


METHODS
Analyses were performed on the first digitally recorded electrocardiogram (ECG) on 43 903 patients at the Palo Alto Veterans Administration Medical Center since 1987. After appropriate exclusions, 40 020 patients remained. Using computerized algorithms, P-wave amplitude and duration in 12 leads as well as several standardized ECG interpretations were extracted. The main outcome measures were pulmonary and CV mortality.


RESULTS
During a mean follow-up of 6 years there were 3417 CV and 1213 pulmonary deaths. After adjusting for age and heart rate in a Cox regression model, P-wave amplitude in the inferior leads was the strongest predictor of pulmonary death (hazard ratio [HR]: 3.0, 95% confidence interval [CI]: 2.3-3.9, P < .0001 for an amplitude > 2.5 mm), outperforming all other ECG criteria. The depth of P-wave inversion in leads V(1) or V(2) and P-wave duration were strong predictors of CV death (HR: 1.7, 95% CI: 1.5-2.0, P < 0.0001 for a P-wave inversion deeper than 1 mm), outperforming many previously established ECG predictors of CV death.


CONCLUSIONS
P-wave amplitude in the inferior leads is the strongest independent predictor of pulmonary death while P-wave duration and the depth of P-wave inversion in leads V(1) or V(2) significantly predict CV death. These measurements can be obtained easily and should be considered as part of clinical risk stratification.
Kaykha
Amir
A
Banner Good Samaritan Medical Center, Department of Cardiology, Phoenix, Arizona 85006, USA. akaykha@hotmail.com
Myers
Jonathan
J
Desser
Kenneth B
KB
Laufer
Nathan
N
Froelicher
Victor F
VF
D000200:Action Potentials; D000328:Adult; D000368:Aged; D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000150:complications / Q000175:diagnosis* / Q000401:mortality / Q000503:physiopathology; D002140:California / Q000453:epidemiology; D002318:Cardiovascular Diseases / Q000209:etiology* / Q000401:mortality / Q000503:physiopathology; D016009:Chi-Square Distribution; D004562:Electrocardiography; D006329:Heart Conduction System / Q000503:physiopathology*; D006801:Humans; D053208:Kaplan-Meier Estimate; D008171:Lung Diseases / Q000209:etiology* / Q000401:mortality / Q000503:physiopathology; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D011379:Prognosis; D016016:Proportional Hazards Models; D018570:Risk Assessment; D012307:Risk Factors; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors