» Articles » PMID: 33444191

Clinical and Biological Determinants of P-wave Duration: Cross-sectional Data from the Population-based CoLaus|PsyCoLaus Study

Overview
Journal BMJ Open
Specialty General Medicine
Date 2021 Jan 14
PMID 33444191
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: P-wave duration (PWD) is associated with the development of atrial arrhythmias, cardiovascular and all-cause mortality. With this study, we aimed to assess the distribution and determinants of PWD in the general population.

Design: Cross-sectional study using data collected between 2014 and 2016.

Setting: In the population-based cohort CoLaus|PsyCoLaus, Lausanne, Switzerland, we used 12-lead ECGs to measure PWD. Potential demographic, clinical and biological determinants of PWD were collected by questionnaire, anthropometry, blood pressure measurement and biological assays.

Participants: Data from 3459 participants (55% women, 62±10 years, 93% Caucasian) were included. Participants were excluded if they presented with (1) no sinus rhythm or paced rhythm on the study ECG or Wolff-Parkinson-White ECG pattern; (2) missing or non-interpretable ECG; and (3) missing phenotypic data.

Primary Outcome Measure: Determine (1) the PWD distribution and (2) the demographic, clinical and biological determinants of PWD in a large population-based cohort.

Results: Median and IQR of PWD was 112 (102-120) ms . In the multivariable analyses, PWD was significantly associated with age (p<0.001) and height (p<0.001), with an adjusted regression coefficient (95% CI) of 0.29 ms/years (0.23 to 0.36) and 0.32 ms/cm (0.28 to 0.37), respectively. PWD, given thereafter in ms with adjusted mean±SE, was significantly (p<0.05) associated with (a) gender (woman 110.0±0.4; man 112.1±0.4), (b) body mass index (normal 110.1±0.4; overweight 110.9±0.4; obese 113.0±0.5), (c) abdominal obesity (no 110.5±0.3; yes 111.7±0.4) and (d) hypertension (no 110.4±0.3; yes 111.7±0.4).

Conclusion: PWD is positively associated with age, height, male gender, obesity markers and hypertension. Clinical interpretation of PWD should take these factors into consideration.

Citing Articles

The Effect of Obesity on Repolarization and Other ECG Parameters.

Dykiert I, Kraik K, Jurczenko L, Gac P, Poreba R, Poreba M J Clin Med. 2024; 13(12).

PMID: 38930116 PMC: 11205044. DOI: 10.3390/jcm13123587.


Using explainable AI to investigate electrocardiogram changes during healthy aging-From expert features to raw signals.

Ott G, Schaubelt Y, Lopez Alcaraz J, Haverkamp W, Strodthoff N PLoS One. 2024; 19(4):e0302024.

PMID: 38603660 PMC: 11008906. DOI: 10.1371/journal.pone.0302024.


How sex affects the sinus rhythm heartbeat.

Veen D, Schram-Serban C, van Schie M, van Schaagen F, Knops P, Kavousi M Int J Cardiol Heart Vasc. 2023; 49:101314.

PMID: 38076345 PMC: 10698247. DOI: 10.1016/j.ijcha.2023.101314.


Clinical review of sick sinus syndrome and atrial fibrillation.

Chang W, Li G Herz. 2021; 47(3):244-250.

PMID: 34156514 DOI: 10.1007/s00059-021-05046-x.

References
1.
SPACH M, Dolber P . Relating extracellular potentials and their derivatives to anisotropic propagation at a microscopic level in human cardiac muscle. Evidence for electrical uncoupling of side-to-side fiber connections with increasing age. Circ Res. 1986; 58(3):356-71. DOI: 10.1161/01.res.58.3.356. View

2.
Skov M, Ghouse J, Kuhl J, Platonov P, Graff C, Fuchs A . Risk Prediction of Atrial Fibrillation Based on Electrocardiographic Interatrial Block. J Am Heart Assoc. 2018; 7(11). PMC: 6015370. DOI: 10.1161/JAHA.117.008247. View

3.
van der Ende M, Siland J, Snieder H, van der Harst P, Rienstra M . Population-based values and abnormalities of the electrocardiogram in the general Dutch population: The LifeLines Cohort Study. Clin Cardiol. 2017; 40(10):865-872. PMC: 6490340. DOI: 10.1002/clc.22737. View

4.
Kofler T, Theriault S, Bossard M, Aeschbacher S, Bernet S, Krisai P . Relationships of Measured and Genetically Determined Height With the Cardiac Conduction System in Healthy Adults. Circ Arrhythm Electrophysiol. 2017; 10(1). DOI: 10.1161/CIRCEP.116.004735. View

5.
Magnani J, Williamson M, Ellinor P, Monahan K, Benjamin E . P wave indices: current status and future directions in epidemiology, clinical, and research applications. Circ Arrhythm Electrophysiol. 2009; 2(1):72-9. PMC: 2760837. DOI: 10.1161/CIRCEP.108.806828. View