Development of Electrocardiographic Left Ventricular Hypertrophy and Resting Heart Rate Over Time: Findings From the OGHMA Study

Inoue, Taku; Arima, Hisatomi; Katsuimata, Yuriko; Iseki, Chiho; Kinjo, Kozen; Iseki, Kunitoshi

doi:10.1177/0003319719870950

Cited by 6 publications

(8 citation statements)

References 38 publications

(52 reference statements)

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“…Moreover, Inoue et al . reported an inverse association between resting heart rate and the development of electrocardiographic LV hypertrophy 33 . However, we are unable to explain why these findings differ from the reported association of increased heart rate with increased CVD incidence, including HF incidence, and all‐cause mortality 7,34–36 .…”

Section: Discussioncontrasting

confidence: 67%

“…reported an inverse association between resting heart rate and the development of electrocardiographic LV hypertrophy 33 . However, we are unable to explain why these findings differ from the reported association of increased heart rate with increased CVD incidence, including HF incidence, and all‐cause mortality 7,34–36 . The mechanisms by which increased heart rate was associated with a lower risk of isolated structural abnormality, and a lower risk of diastolic abnormality, despite the positive association between BP and diastolic abnormality, remain to be defined.…”

Section: Discussionmentioning

confidence: 98%

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Risk factors for asymptomatic echocardiographic abnormalities that predict symptomatic heart failure

et al. 2021

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Aims Risk factors for asymptomatic echocardiographic abnormalities that predict symptomatic heart failure (HF) may provide insight into early mechanisms of HF pathogenesis. We examined risk factors associated with asymptomatic echocardiographic structural, systolic, and diastolic abnormalities, separately and in combination, and interactions between risk factors, in the prospective community‐based SCReening Evaluation of the Evolution of New HF (SCREEN‐HF) Study cohort of 3190 participants at increased risk of cardiovascular disease. Methods and results Inclusion criteria were age ≥ 60 years with one or more of hypertension, diabetes, ischaemic heart disease, valvular heart disease, abnormal heart rhythm, cerebrovascular disease, or renal impairment. Exclusion criteria were known HF, ejection fraction < 50%, or >mild valve abnormality. Structural, systolic, and diastolic echocardiographic abnormalities were defined according to the Atherosclerosis Risk in Communities study criteria, and risk factors for asymptomatic structural, systolic, and diastolic abnormalities were identified using logistic regression analysis. In multivariable analysis, increased body mass index (BMI), non‐steroidal anti‐inflammatory drug therapy, and alcohol intake were risk factors for isolated structural abnormality, whereas male gender, increased heart rate, atrial fibrillation (AF), angiotensin‐converting enzyme inhibitor therapy, and obstructive sleep apnoea were associated with a lower risk. Moreover, male gender, smoking, increased systolic blood pressure, and physical inactivity were risk factors for isolated systolic abnormality, whereas increased pulse pressure and antihypertensive therapy were associated with a lower risk. Furthermore, increased age, blood pressure, amino‐terminal pro‐B‐type natriuretic peptide level, and warfarin therapy (associated with AF) were risk factors for isolated diastolic abnormality, whereas increased heart rate and triglyceride level (associated with BMI) were associated with a lower risk. The association of increased heart rate with lower risk of structural and diastolic abnormalities was independent of β‐blocker therapy. Interactions between risk factors differed for structural, systolic, and diastolic abnormalities. Conclusions The different risk factors for asymptomatic structural, systolic, and diastolic abnormalities that predict symptomatic HF, and the interactions between risk factors, illustrate how these structural, systolic, and diastolic abnormalities represent unique trajectories that lead to symptomatic HF. Improved understanding of these trajectories may assist in the design of HF prevention strategies.

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Section: Discussioncontrasting

confidence: 67%

Section: Discussionmentioning

confidence: 98%

Risk factors for asymptomatic echocardiographic abnormalities that predict symptomatic heart failure

et al. 2021

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“…Similarly, related studies in Egypt and Greece reported that LVH was reversely related to HR 38,39 . Additionally, the finding from the OGHMA study in Japan reported that each 10 beats/min increase in resting HR was associated with reduced development of ECG-LVH, especially among males 40 . Nevertheless, the temporal relationship between resting HR and developing ECG-LVH in the present study could not be proved due to the cross-sectional design.…”

Section: Discussionmentioning

confidence: 99%

Prevalence and associated factors of electrocardiographic left ventricular hypertrophy in a rural community, central Thailand

Viwatrangkul

Lawanwisut

Leekhaphan

et al. 2021

Sci Rep

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Left ventricular hypertrophy (LVH) is considered a cardiac condition with life-threatening complications. Detected LVH is a strong predictor of cardiovascular diseases and death. This condition is normally diagnosed at offices. We aimed to determine the prevalence and associated factors of electrocardiographic-LVH (ECG-LVH) among adults in a Thai rural community. A cross-sectional study was conducted in Na-Yao rural community of Thailand in 2020. A total of 638 individuals aged ≥ 20 years were interviewed using standardized structured questionnaires related to demographic information, risk behaviors, comorbidities and anthropometric measurements. LVH was determined by Sokolov-Lyon and Cornell criteria based on the collected electrocardiograms. The prevalence of ECG-LVH among adults was 6.6%. The factors independently associated with ECG-LVH were being male (AORs 2.04, 95% CI 1.05–3.98), history of diabetes mellitus (AORs 1.01, 95% CI 1.01–1.02), and hypertensive crisis ≥ 180/110 mmHg (AORs 7.24, 95% CI 1.31–39.92). However, resting heart rate was negatively associated with ECG-LVH (p < 0.05). Our data emphasized that LVH was one of the significant health problems among adults in a rural community. This condition could lead to severe complications. Thus, effective detection and public health interventions should be provided at the community level.

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“…We have noticed a correlation between a lower HR and LVH. Inoune [47] showed a similar dependence, in which an elevated resting HR was negatively associated with the development of ECG LVH in a healthy male group. We explain this correlation by more common use of beta-blockers among individuals with LVH, who more frequently had a history of HA, myocardial infarction (MI), CHD, and AF.…”

Section: Clinical and Biochemical Factorsmentioning

confidence: 70%

ECG Indices Poorly Predict Left Ventricular Hypertrophy and Are Applicable Only in Individuals with Low Cardiovascular Risk

Chlabicz

Jamiołkowski

Paniczko

et al. 2020

JCM

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Background: Left ventricular hypertrophy (LVH) is an important risk factor for cardiovascular events. The electrocardiography (ECG) has poor sensitivity, but it is commonly used to detect LVH. Aim: To evaluate the diagnostic efficacy of known ECG indicators to recognize LVH in subgroups with different cardiovascular risk levels. Methods: 676 volunteers were included. Results: We found that 10.2% of the analyzed population had LVH based on echocardiography. Individuals with LVH were older, had a higher body mass index, higher systolic blood pressure, lower heart rate, higher parameters of insulin resistance, higher cardiovascular risk, and android-type obesity. Variables that remained independently associated with LVH were QRS duration, left atrial volume index, troponin T, and hemoglobin A1c. The receiver operating characteristics (ROC) curve analysis of the Sokolow–Lyon index did not show a significant predictive ability to diagnose LVH in the whole study population including all cardiovascular risk classes. The ROC curves analysis of Cornell and Lewis indices showed a modest predictive ability to diagnose LVH in the general population and in a low cardiovascular class. Conclusions: There is a need for new, simple methods to diagnose LVH in the general population in order to properly evaluate cardiovascular risk and introduce optimal medical treatment of concomitant disease.

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Development of Electrocardiographic Left Ventricular Hypertrophy and Resting Heart Rate Over Time: Findings From the OGHMA Study

Cited by 6 publications

References 38 publications

Risk factors for asymptomatic echocardiographic abnormalities that predict symptomatic heart failure

Risk factors for asymptomatic echocardiographic abnormalities that predict symptomatic heart failure

Prevalence and associated factors of electrocardiographic left ventricular hypertrophy in a rural community, central Thailand

ECG Indices Poorly Predict Left Ventricular Hypertrophy and Are Applicable Only in Individuals with Low Cardiovascular Risk

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