Left ventricular hypertrophy identified by cardiac computed tomography and ECG in hypertensive individuals

Kühl, Jørgen Tobias; Nielsen, Jonas B.; Stisen, Zara R; Fuchs, Andreas; Sigvardsen, Per E; Graff, Claus; Nordestgaard, Børge G.; Køber, Lars; Kofoed, Klaus F.

doi:10.1097/hjh.0000000000001962

Cited by 10 publications

(14 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The best precision and speci city in our results outperform previous studies (Ref. [12,[14][15][16][17][18]23]), while the best accuracy and sensitivity of ours are lower than some of these studies. Unfortunately, the detection performances listed in Tab.…”

Section: Feature Importancecontrasting

confidence: 76%

“…Although ECG-based new criteria or new studies using existing criteria for detecting LVH have been proposed or reported in recent years, the overall sensitivity and precision are still disappointing (Ref. [11][12][13][14][15][16][17][18][19]). These criteria mainly take the combination of multi-lead peak and valley amplitudes of R and S waves, associated with ventricular depolarization, as the threshold for diagnosing LVH.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Left Ventricular Hypertrophy Detection Using Electrocardiographic Signal

Wu²,

et al. 2022

Preprint

View full text Add to dashboard Cite

Left ventricular hypertrophy (LVH) indicates subclinical organ damage, associating with the incidence of cardiovascular diseases. From the medical perspective, electrocardiogram (ECG) is a low-cost, non-invasive, and easily reproducible tool that is often used as a preliminary diagnosis for the detection of heart disease. Nowadays, there are many criteria for assessing LVH by ECG. These criteria usually include that voltage combination of RS peaks in multi-lead ECG must be greater than one or more thresholds for diagnosis. We developed a system for detecting LVH using ECG signals by two steps: firstly, the R-peak and S-valley amplitudes of the 12-lead ECG were extracted to automatically obtain a total of 24 features and ECG beats of each case (LVH or non-LVH) were segmented; secondly, a back propagation neural network (BPN) was trained using a dataset with these features. Echocardiography (ECHO) was used as the gold standard for diagnosing LVH. The number of LVH cases (of a Taiwanese population) identified was 173. As each ECG sequence generally included 8 to 13 cycles (heartbeats) due to differences in heart rate, etc., we identified 1466 ECG cycles of LVH patients after beat segmentation. Results showed that our BPN model for detecting LVH reached the testing accuracy, precision, sensitivity, and specificity of 0.961, 0.958, 0.966 and 0.956, respectively. Detection performances of our BPN model, on the whole, outperform 7 methods using ECG criteria and many ECG-based artificial intelligence (AI) models reported previously for detecting LVH.

show abstract

Section: Feature Importancecontrasting

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Left Ventricular Hypertrophy Detection Using Electrocardiographic Signal

Wu²,

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…the occurrence of LVH. 7 The rate of arrhythmia in patients with hypertension and LVH was significantly higher than that in patients with simple hypertension. 8 The coronary reserve capacity of patients with hypertension and LVH is significantly reduced, resulting in acute myocardial ischemic events that easily occur and increase the risk of death.…”

Section: Discussionmentioning

confidence: 89%

“…the occurrence of LVH. 7 The rate of arrhythmia in patients with hypertension and LVH was Jian Fu et al Age: >75 years old=1, ≤75 years old=0; IVST: increase=1, no increase=0; LVPWT: increase=1, no increase=0; LVMI: male>125 g/m2, female>110 g/m2=1, male≤125 g/m2, female≤110 g/m2=0; miR-26b: ≥7.62=1, <7.62=0.…”

Section: Discussionmentioning

confidence: 99%

Correlations of circulating miR-26b level with left ventricular hypertrophy and cardiac function in elderly patients with hypertension

Fu¹,

Lin

Pan

et al. 2021

Pak J Med Sci

View full text Add to dashboard Cite

Objectives: To study the correlations of circulating miR-26b level with left ventricular hypertrophy (LVH) and cardiac function in elderly patients with hypertension. Methods: A total of 132 eligible patients were divided into low and high miR-26b level groups. Their baseline clinical data and biochemical indices were compared. The correlations between miR-26b level and echocardiographic parameters were studied by Pearson’s analysis. Factors affecting LVH were explored by multivariate logistic regression analysis. The role of miR-26b in diagnosing LVH was predicted by receiver operating characteristic curve. Results: The relative expression level of miR-26b was 4.56-16.93, with a median of 7.62. The two groups had similar baseline clinical data and biochemical indices (P>0.05). Compared with high miR-26b level group, interventricular septal thickness (IVST), left ventricular posterior wall thickness (LVPWT), left ventricular mass index (LVMI) and number of LVH cases in low miR-26b level group significantly increased (P<0.05), and mitral ratio of peak early to late diastolic filling velocity (E/A) decreased (P<0.05). Circulating miR-26b level was negatively correlated with IVST, LVPWT and LVMI (P<0.0001), and positively correlated with E/A (P<0.0001). The proportion of cardiac hypofunction cases in low miR-26b level group significantly exceeded that of high miR-26b level group (P<0.05). Age and increased IVST, LVPWT and LVMI were independent risk factors for LVH (P<0.05), and elevated miR-26b level was a protective factor (P<0.05). AUC was 0.836, and the optimal cutoff value was 8.83, with high sensitivity and specificity. Conclusions: MiR-26b level is negatively correlated with LVH and positively correlated with left ventricular diastolic function in elderly hypertensive patients. It is a protective factor for LVH complicated with diastolic dysfunction and a potential biomarker for diagnosis. doi: https://doi.org/10.12669/pjms.37.4.4048 How to cite this:Fu J, Lin F, Pan Z, Wu C. Correlations of circulating miR-26b level with left ventricular hypertrophy and cardiac function in elderly patients with hypertension. Pak J Med Sci. 2021;37(4):---------. doi: https://doi.org/10.12669/pjms.37.4.4048 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

show abstract

“…26 LVH represents an independent risk factor for cardiovascular disease and increases cardiovascular morbidity and mortality. 27,28 Oxidative stress likely plays a role in LVH; 5,6 however, until now, no oxidative stress biomarker has been used routinely in clinical settings for the diagnosis of LVH. There may be several reasons for this: first, a single biomarker may not be representative of LVH; second, a single biomarker might have a large intraindividual and interindividual variability; third, some biomarkers require methodologies too sophisticated or laborious for routine clinical use; and finally, there are high costs involved in using such biomarkers in clinical diagnosis.…”

Section: Discussionmentioning

confidence: 99%

OXY-SCORE: a new perspective for left ventricular hypertrophy diagnosis

Quintana‐Villamandos

Pazó-Sayós

Pozo

et al. 2020

Therapeutic Advances in Chronic Disease

View full text Add to dashboard Cite

Background: A recently developed global indicator of oxidative stress (OXY-SCORE), by combining individual plasma biomarkers of oxidative damage and antioxidant capacity, has been validated in several pathologies, but not in left ventricular hypertrophy (LVH). The aim of this study was to design and calculate a plasma oxidative stress global index for patients with LVH. Methods: A total of 70 consecutive adult patients were recruited in our institution and assigned to one of the two study groups (control group/LVH group) by an echocardiography study. We evaluated plasmatic biomarkers of oxidative damage (malondialdehyde and thiolated proteins) and antioxidant defense (total thiols, reduced glutathione, total antioxidant capacity, catalase, and superoxide dismutase activities) by spectrophotometry/fluorimetry in order to calculate a plasma oxidative stress global index (OXY-SCORE) in relation to LVH. Results: The OXY-SCORE exhibited a highly significant difference between the groups ( p < 0.001). The area under the receiver operating characteristic curve was 0.74 (95% confidence interval (CI), 0.62–0.85; p < 0.001). At a cut-off value of −1, the 68.6% sensitivity and 68.6% specificity values suggest that OXY-SCORE could be used to screen for LVH. A multivariable logistic regression model showed a positive association ( p = 0.001) between OXY-SCORE and LVH [odds ratio = 0.55 (95% CI, 0.39–0.79)], independent of gender, age, smoking, glucose, systolic and diastolic arterial pressure, dyslipidemia, estimated glomerular filtration rate, body mass index, and valvular/coronary disease. Conclusion: OXY-SCORE could help in the diagnosis of LVH and could be used to monitor treatment response.

show abstract

Left ventricular hypertrophy identified by cardiac computed tomography and ECG in hypertensive individuals

Cited by 10 publications

References 25 publications

Left Ventricular Hypertrophy Detection Using Electrocardiographic Signal

Left Ventricular Hypertrophy Detection Using Electrocardiographic Signal

Correlations of circulating miR-26b level with left ventricular hypertrophy and cardiac function in elderly patients with hypertension

OXY-SCORE: a new perspective for left ventricular hypertrophy diagnosis

Contact Info

Product

Resources

About