The Hidden Signal: P Wave Morphology and In-Hospital Mortality in Acute Pulmonary Embolism

<b>Background</b>: Electrocardiographic (ECG) abnormalities are common in acute pulmonary embolism (PE), but the prognostic significance of P wave morphology remains unclear. Early identification of high-risk patients is critical for guiding therapy and monitoring. <b>Methods</b>: We retrospectively analyzed 300 patients with confirmed PE. P wave morphology (normal, biphasic, notched, peaked) was evaluated for association with in-hospital mortality using chi-square and logistic regression, adjusted for age, sex, PESI score, and oxygen saturation. <b>Results</b>: Mortality differed significantly across P wave groups (χ<sup>2</sup> = 35.3, df = 3, <i>p</i> < 0.001). In univariate analysis, biphasic (OR 15.38, 95% CI 5.02-47.10, <i>p</i> < 0.001) and peaked (OR 7.21, 95% CI 2.35-22.10, <i>p</i> = 0.001) morphologies were strongly associated with mortality, whereas notched P waves were not (OR 1.44, 95% CI 0.16-12.87, <i>p</i> = 0.743). After adjustment, biphasic (OR 14.87, 95% CI 4.77-46.37, <i>p</i> < 0.001) and peaked (OR 6.58, 95% CI 2.11-20.53, <i>p</i> = 0.001) shapes remained independent predictors. Age, sex, PESI score, and oxygen saturation were not significant in multivariable analysis. <b>Conclusions</b>: Biphasic and peaked P wave morphologies on ECG are strong predictors of in-hospital mortality in patients with PE. Routine assessment of P wave shape may provide a simple tool for early risk stratification, warranting validation in prospective cohorts.

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Journal
Diagnostics
Published
2025-10-19
DOI
https://doi.org/10.3390/diagnostics15202636
Citations
1
Primary Topic
Venous Thromboembolism Diagnosis and Management
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article
Field-Weighted Citation Impact
1.87
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article

The Hidden Signal: P Wave Morphology and In-Hospital Mortality in Acute Pulmonary Embolism

Corina Cinezan, Alexandra Manuela Buzle, Camelia Bianca Rus, Maria Luiza Hiceag
1 citations
Diagnostics
Venous Thromboembolism Diagnosis and Management
1.87
article

The Hidden Signal: P Wave Morphology and In-Hospital Mortality in Acute Pulmonary Embolism

Corina Cinezan, Alexandra Manuela Buzle, Camelia Bianca Rus, Maria Luiza Hiceag
article en
1 citations

Abstract

<b>Background</b>: Electrocardiographic (ECG) abnormalities are common in acute pulmonary embolism (PE), but the prognostic significance of P wave morphology remains unclear. Early identification of high-risk patients is critical for guiding therapy and monitoring. <b>Methods</b>: We retrospectively analyzed 300 patients with confirmed PE. P wave morphology (normal, biphasic, notched, peaked) was evaluated for association with in-hospital mortality using chi-square and logistic regression, adjusted for age, sex, PESI score, and oxygen saturation. <b>Results</b>: Mortality differed significantly across P wave groups (χ<sup>2</sup> = 35.3, df = 3, <i>p</i> < 0.001). In univariate analysis, biphasic (OR 15.38, 95% CI 5.02-47.10, <i>p</i> < 0.001) and peaked (OR 7.21, 95% CI 2.35-22.10, <i>p</i> = 0.001) morphologies were strongly associated with mortality, whereas notched P waves were not (OR 1.44, 95% CI 0.16-12.87, <i>p</i> = 0.743). After adjustment, biphasic (OR 14.87, 95% CI 4.77-46.37, <i>p</i> < 0.001) and peaked (OR 6.58, 95% CI 2.11-20.53, <i>p</i> = 0.001) shapes remained independent predictors. Age, sex, PESI score, and oxygen saturation were not significant in multivariable analysis. <b>Conclusions</b>: Biphasic and peaked P wave morphologies on ECG are strong predictors of in-hospital mortality in patients with PE. Routine assessment of P wave shape may provide a simple tool for early risk stratification, warranting validation in prospective cohorts.

DiagnosticsVol. 15(20)
University of Oradea (RO), Clinical Emergency Hospital Bucharest (RO), Association of Indian Universities (IN)
Openalex Percentile: Top 11%
Venous Thromboembolism Diagnosis and Management
1.87
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The Hidden Signal: P Wave Morphology and In-Hospital Mortality in Acute Pulmonary Embolism — Corina Cinezan, Alexandra Manuela Buzle, et al. · Diagnostics (2025) | TGRS Research Map | TGRS