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Yano M, Egami Y, Abe M, Osuga M, Nohara H, Kawanami S, Ukita K, Kawamura A, Yasumoto K, Okamoto N, Matsunaga-Lee Y, Nishino M. Prognostic significance of ratio of P-wave duration to P-wave vector magnitude for mortality in acute anterior myocardial infarction. J Electrocardiol 2024; 87:153791. [PMID: 39260331 DOI: 10.1016/j.jelectrocard.2024.153791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Revised: 08/05/2024] [Accepted: 08/29/2024] [Indexed: 09/13/2024]
Abstract
BACKGROUND The impact of P-wave abnormality in acute anterior MI, where the culprit vessel is the left anterior descending artery, remains undetermined. This study aimed to elucidate the impact of P-wave morphology on clinical outcomes in acute anterior MI. METHODS Patients undergoing emergent percutaneous coronary intervention for acute anterior MI were enrolled between September 2014 and April 2019 (derivation cohort) and May 2019 through July 2023 (validation cohort). P-wave duration (Pd) and P-wave vector magnitude (Pvm) were measured. The Pvm was calculated as the square root of the sum of the squared P-wave magnitudes in leads II and V6 and one-half of the P-wave amplitude in V2. The patients were categorized into high and low Pd/Pvm groups using a statistically derived cut-off value. The endpoint comprised the composite of heart failure (HF) hospitalization and all-cause death. RESULTS Consecutive 426 patients were enrolled in this study (derivation cohort, 213 patients; validation cohort, 216 patients). The calculated cut-off value of Pd/Pvm for predicting the clinical endpoint, determined through receiver operating curve analysis, was 793.5 ms/mV (area under the curve [AUC] = 0.85, sensitivity of 73.8 %, and specificity of 94.0 %) in the derivation cohort. Kaplan-Meier analyses revealed a significantly higher risk of the endpoint in patients with high Pd/Pvm than those with low Pd/Pvm in derivation and validation cohorts (Log-rank p < 0.001 and p < 0.001, respectively). Multivariate Cox proportional hazards analysis identified advanced age, elevated Pd/Pvm, and reduced left ventricular ejection fraction as independent and significant factors associated with the endpoint in the validation cohort (p = 0.008, p < 0.001, and p < 0.001, respectively). CONCLUSION High Pd/Pvm was significantly associated with the composite of HF hospitalization and all-cause death after acute anterior MI.
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Affiliation(s)
- Masamichi Yano
- Division of Cardiology, Osaka Rosai Hospital, 3-1179 Nagasonecho, kita-ku, Sakai, Osaka 591-8025, Japan
| | - Yasuyuki Egami
- Division of Cardiology, Osaka Rosai Hospital, 3-1179 Nagasonecho, kita-ku, Sakai, Osaka 591-8025, Japan
| | - Masaru Abe
- Division of Cardiology, Osaka Rosai Hospital, 3-1179 Nagasonecho, kita-ku, Sakai, Osaka 591-8025, Japan
| | - Mizuki Osuga
- Division of Cardiology, Osaka Rosai Hospital, 3-1179 Nagasonecho, kita-ku, Sakai, Osaka 591-8025, Japan
| | - Hiroaki Nohara
- Division of Cardiology, Osaka Rosai Hospital, 3-1179 Nagasonecho, kita-ku, Sakai, Osaka 591-8025, Japan
| | - Shodai Kawanami
- Division of Cardiology, Osaka Rosai Hospital, 3-1179 Nagasonecho, kita-ku, Sakai, Osaka 591-8025, Japan
| | - Kohei Ukita
- Division of Cardiology, Osaka Rosai Hospital, 3-1179 Nagasonecho, kita-ku, Sakai, Osaka 591-8025, Japan
| | - Akito Kawamura
- Division of Cardiology, Osaka Rosai Hospital, 3-1179 Nagasonecho, kita-ku, Sakai, Osaka 591-8025, Japan
| | - Koji Yasumoto
- Division of Cardiology, Osaka Rosai Hospital, 3-1179 Nagasonecho, kita-ku, Sakai, Osaka 591-8025, Japan
| | - Naotaka Okamoto
- Division of Cardiology, Osaka Rosai Hospital, 3-1179 Nagasonecho, kita-ku, Sakai, Osaka 591-8025, Japan
| | - Yasuharu Matsunaga-Lee
- Division of Cardiology, Osaka Rosai Hospital, 3-1179 Nagasonecho, kita-ku, Sakai, Osaka 591-8025, Japan
| | - Masami Nishino
- Division of Cardiology, Osaka Rosai Hospital, 3-1179 Nagasonecho, kita-ku, Sakai, Osaka 591-8025, Japan.
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Haddad E, Matloff W, Park G, Liu M, Jahanshad N, Kim HS. Subclinical variations on ECG and their associations with structural brain aging networks. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.18.24304486. [PMID: 38562784 PMCID: PMC10984068 DOI: 10.1101/2024.03.18.24304486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Impaired cardiac function is associated with cognitive impairment and brain imaging features of aging. Cardiac arrhythmias, including atrial fibrillation, are implicated in clinical and subclinical brain injuries. Even in the absence of a clinical diagnosis, subclinical or prodromal substrates of arrhythmias, including an abnormally long or short P-wave duration (PWD), a measure associated with atrial abnormalities, have been associated with stroke and cognitive decline. However, the extent to which PWD has subclinical influences on overall aging patterns of the brain is not clearly understood. Here, using neuroimaging and ECG data from the UK Biobank, we use a novel regional "brain age" method to identify the brain aging networks associated with abnormal PWD. We find that PWD is inversely associated with accelerated brain aging in the sensorimotor, frontoparietal, ventral attention, and dorsal attention networks, even in the absence of overt cardiac diseases. These findings suggest that detrimental aging outcomes may result from subclinically abnormal PWD.
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Affiliation(s)
- Elizabeth Haddad
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Imaging Genetics Center, University of Southern California, Marina Del Rey, CA, USA
| | - William Matloff
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Gilsoon Park
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Mengting Liu
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Neda Jahanshad
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Imaging Genetics Center, University of Southern California, Marina Del Rey, CA, USA
| | - Ho Sung Kim
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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