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Clinical and biological determinants of P-wave duration: cross-sectional data from the population-based CoLaus|PsyCoLaus study
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678386/ https://www.ncbi.nlm.nih.gov/pubmed/33444191 http://dx.doi.org/10.1136/bmjopen-2020-038828 |
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author | Bocchi, Federica Marques-Vidal, Pedro Pruvot, Etienne Waeber, Gerard Vollenweider, Peter Gachoud, David |
author_facet | Bocchi, Federica Marques-Vidal, Pedro Pruvot, Etienne Waeber, Gerard Vollenweider, Peter Gachoud, David |
author_sort | Bocchi, Federica |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7678386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-76783862020-11-30 Clinical and biological determinants of P-wave duration: cross-sectional data from the population-based CoLaus|PsyCoLaus study Bocchi, Federica Marques-Vidal, Pedro Pruvot, Etienne Waeber, Gerard Vollenweider, Peter Gachoud, David BMJ Open Cardiovascular Medicine 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. BMJ Publishing Group 2020-11-19 /pmc/articles/PMC7678386/ /pubmed/33444191 http://dx.doi.org/10.1136/bmjopen-2020-038828 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Cardiovascular Medicine Bocchi, Federica Marques-Vidal, Pedro Pruvot, Etienne Waeber, Gerard Vollenweider, Peter Gachoud, David Clinical and biological determinants of P-wave duration: cross-sectional data from the population-based CoLaus|PsyCoLaus study |
title | Clinical and biological determinants of P-wave duration: cross-sectional data from the population-based CoLaus|PsyCoLaus study |
title_full | Clinical and biological determinants of P-wave duration: cross-sectional data from the population-based CoLaus|PsyCoLaus study |
title_fullStr | Clinical and biological determinants of P-wave duration: cross-sectional data from the population-based CoLaus|PsyCoLaus study |
title_full_unstemmed | Clinical and biological determinants of P-wave duration: cross-sectional data from the population-based CoLaus|PsyCoLaus study |
title_short | Clinical and biological determinants of P-wave duration: cross-sectional data from the population-based CoLaus|PsyCoLaus study |
title_sort | clinical and biological determinants of p-wave duration: cross-sectional data from the population-based colaus|psycolaus study |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678386/ https://www.ncbi.nlm.nih.gov/pubmed/33444191 http://dx.doi.org/10.1136/bmjopen-2020-038828 |
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