Cargando…

Performance of a novel ECG criterion for improving detection of left ventricular hypertrophy: a cross-sectional study in a general Chinese population

OBJECTIVES: The sensitivity of ECG for detecting left ventricular hypertrophy (LVH) is low. The aim of this study was to explore a better ECG criterion for screening LVH in a large general Chinese population. DESIGN: Case–control study. SETTING: China Medical University in Shenyang, China. PARTICIPA...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Yanli, Sun, Guozhe, Guo, Xiaofan, Li, Zhao, Li, Guangxiao, Zhou, Ying, Yang, Hongmei, Yu, Shasha, Zheng, Liqiang, Sun, Yingxian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8413944/
https://www.ncbi.nlm.nih.gov/pubmed/34475185
http://dx.doi.org/10.1136/bmjopen-2021-051172
_version_ 1783747737777340416
author Chen, Yanli
Sun, Guozhe
Guo, Xiaofan
Li, Zhao
Li, Guangxiao
Zhou, Ying
Yang, Hongmei
Yu, Shasha
Zheng, Liqiang
Sun, Yingxian
author_facet Chen, Yanli
Sun, Guozhe
Guo, Xiaofan
Li, Zhao
Li, Guangxiao
Zhou, Ying
Yang, Hongmei
Yu, Shasha
Zheng, Liqiang
Sun, Yingxian
author_sort Chen, Yanli
collection PubMed
description OBJECTIVES: The sensitivity of ECG for detecting left ventricular hypertrophy (LVH) is low. The aim of this study was to explore a better ECG criterion for screening LVH in a large general Chinese population. DESIGN: Case–control study. SETTING: China Medical University in Shenyang, China. PARTICIPANTS: All permanent residents in Dawa, Zhangwu and Liaoyang aged 35 years or older were invited. Participants with unqualified data, pacemaker rhythm, frequent premature ventricular beats, Wolff-Parkinson-White syndrome, complete bundle branch block, myocardial infarction or hypertrophic cardiomyopathy were excluded. A total of 10 360 subjects (4630 males) were recruited. INTERVENTIONS: A novel ECG criterion (Northeast China Rural Cardiovascular Health Study (NCRCHS)) composed of different ratios of maximum R wave in lead V(5) or V(6) (R(V5/V6)), S wave in lead V(3) (S(V3)) and R wave in lead aVL (R(aVL)) was proposed and validated using multiple linear regression. Receiver-operating characteristic curves were used to compare the NCRCHS criterion with traditional criteria for LVH detection. RESULTS: An optimised model (15(*)R(aVL)+8(*)S(V3)+7(*)R(V5/V6)) was constructed (R(2) 0.192, p<0.001) with the cut-off values of 36.8 mV for males and 26.1 mV for females. The maximum area under the curve was obtained using the NCRCHS criterion (male 0.74, 95% CI 0.73 to 0.75; female 0.73, 95% CI 0.72 to 0.75), followed by Cornell voltage criterion, Sokolow-Lyon criterion, Peguero-Lo Presti criterion, multi-ethnic study of atherosclerosis (MESA)-specific criterion and Syst-Eur voltage criterion. Compared with the Cornell voltage criterion, the NCRCHS criterion had a significantly higher sensitivity for detecting LVH at the same level of specificity (p<0.05). CONCLUSIONS: The NCRCHS criterion significantly improved sensitivity for LVH detection in a general Chinese population, with cut-off values of 36.8 and 26.1 mV for males and females, respectively. This criterion can detect LVH earlier and better and may prevent subsequent cardiovascular diseases.
format Online
Article
Text
id pubmed-8413944
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-84139442021-09-22 Performance of a novel ECG criterion for improving detection of left ventricular hypertrophy: a cross-sectional study in a general Chinese population Chen, Yanli Sun, Guozhe Guo, Xiaofan Li, Zhao Li, Guangxiao Zhou, Ying Yang, Hongmei Yu, Shasha Zheng, Liqiang Sun, Yingxian BMJ Open Public Health OBJECTIVES: The sensitivity of ECG for detecting left ventricular hypertrophy (LVH) is low. The aim of this study was to explore a better ECG criterion for screening LVH in a large general Chinese population. DESIGN: Case–control study. SETTING: China Medical University in Shenyang, China. PARTICIPANTS: All permanent residents in Dawa, Zhangwu and Liaoyang aged 35 years or older were invited. Participants with unqualified data, pacemaker rhythm, frequent premature ventricular beats, Wolff-Parkinson-White syndrome, complete bundle branch block, myocardial infarction or hypertrophic cardiomyopathy were excluded. A total of 10 360 subjects (4630 males) were recruited. INTERVENTIONS: A novel ECG criterion (Northeast China Rural Cardiovascular Health Study (NCRCHS)) composed of different ratios of maximum R wave in lead V(5) or V(6) (R(V5/V6)), S wave in lead V(3) (S(V3)) and R wave in lead aVL (R(aVL)) was proposed and validated using multiple linear regression. Receiver-operating characteristic curves were used to compare the NCRCHS criterion with traditional criteria for LVH detection. RESULTS: An optimised model (15(*)R(aVL)+8(*)S(V3)+7(*)R(V5/V6)) was constructed (R(2) 0.192, p<0.001) with the cut-off values of 36.8 mV for males and 26.1 mV for females. The maximum area under the curve was obtained using the NCRCHS criterion (male 0.74, 95% CI 0.73 to 0.75; female 0.73, 95% CI 0.72 to 0.75), followed by Cornell voltage criterion, Sokolow-Lyon criterion, Peguero-Lo Presti criterion, multi-ethnic study of atherosclerosis (MESA)-specific criterion and Syst-Eur voltage criterion. Compared with the Cornell voltage criterion, the NCRCHS criterion had a significantly higher sensitivity for detecting LVH at the same level of specificity (p<0.05). CONCLUSIONS: The NCRCHS criterion significantly improved sensitivity for LVH detection in a general Chinese population, with cut-off values of 36.8 and 26.1 mV for males and females, respectively. This criterion can detect LVH earlier and better and may prevent subsequent cardiovascular diseases. BMJ Publishing Group 2021-09-02 /pmc/articles/PMC8413944/ /pubmed/34475185 http://dx.doi.org/10.1136/bmjopen-2021-051172 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://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/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Public Health
Chen, Yanli
Sun, Guozhe
Guo, Xiaofan
Li, Zhao
Li, Guangxiao
Zhou, Ying
Yang, Hongmei
Yu, Shasha
Zheng, Liqiang
Sun, Yingxian
Performance of a novel ECG criterion for improving detection of left ventricular hypertrophy: a cross-sectional study in a general Chinese population
title Performance of a novel ECG criterion for improving detection of left ventricular hypertrophy: a cross-sectional study in a general Chinese population
title_full Performance of a novel ECG criterion for improving detection of left ventricular hypertrophy: a cross-sectional study in a general Chinese population
title_fullStr Performance of a novel ECG criterion for improving detection of left ventricular hypertrophy: a cross-sectional study in a general Chinese population
title_full_unstemmed Performance of a novel ECG criterion for improving detection of left ventricular hypertrophy: a cross-sectional study in a general Chinese population
title_short Performance of a novel ECG criterion for improving detection of left ventricular hypertrophy: a cross-sectional study in a general Chinese population
title_sort performance of a novel ecg criterion for improving detection of left ventricular hypertrophy: a cross-sectional study in a general chinese population
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8413944/
https://www.ncbi.nlm.nih.gov/pubmed/34475185
http://dx.doi.org/10.1136/bmjopen-2021-051172
work_keys_str_mv AT chenyanli performanceofanovelecgcriterionforimprovingdetectionofleftventricularhypertrophyacrosssectionalstudyinageneralchinesepopulation
AT sunguozhe performanceofanovelecgcriterionforimprovingdetectionofleftventricularhypertrophyacrosssectionalstudyinageneralchinesepopulation
AT guoxiaofan performanceofanovelecgcriterionforimprovingdetectionofleftventricularhypertrophyacrosssectionalstudyinageneralchinesepopulation
AT lizhao performanceofanovelecgcriterionforimprovingdetectionofleftventricularhypertrophyacrosssectionalstudyinageneralchinesepopulation
AT liguangxiao performanceofanovelecgcriterionforimprovingdetectionofleftventricularhypertrophyacrosssectionalstudyinageneralchinesepopulation
AT zhouying performanceofanovelecgcriterionforimprovingdetectionofleftventricularhypertrophyacrosssectionalstudyinageneralchinesepopulation
AT yanghongmei performanceofanovelecgcriterionforimprovingdetectionofleftventricularhypertrophyacrosssectionalstudyinageneralchinesepopulation
AT yushasha performanceofanovelecgcriterionforimprovingdetectionofleftventricularhypertrophyacrosssectionalstudyinageneralchinesepopulation
AT zhengliqiang performanceofanovelecgcriterionforimprovingdetectionofleftventricularhypertrophyacrosssectionalstudyinageneralchinesepopulation
AT sunyingxian performanceofanovelecgcriterionforimprovingdetectionofleftventricularhypertrophyacrosssectionalstudyinageneralchinesepopulation