Clinical applicability and diagnostic performance of electrocardiographic criteria for left ventricular hypertrophy diagnosis in older adults.
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ABSTRACT:
SUBMITTER: Tavares CAM
PROVIDER: S-EPMC8169892 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundElectrocardiogram (ECG) is considered the initial screening method for the detection of left ventricular hypertrophy (LVH) despite its low sensitivity. However, there are no data on how ECG criteria for LVH perform in patients with concentric (cLVH) and eccentric LVH (eLVH).MethodsIn the setting of the Corinthia cross-sectional study, ECGs were analyzed in 1,570 participants of the study. Seven ECG LVH criteria were calculated (Sokolow-Lyon voltage, index, and product, sex-specific Cornell voltage and product, Lewis voltage, and the Framingham), whereas LVH was defined, based on echocardiographic data, as left ventricular mass indexed for body surface area (BSA) of at least 125 g/m2 in men and at least 110 g/m2 in women.ResultsRegarding the frequency encountered for each ECG LVH criterion, there was no difference between eLVH and cLVH. However, when ECG criteria were compared as continuous variables between LVH groups, Cornell voltage and product were higher in cLVH individuals, with a value of Cornell voltage >13.95 mV having 61% sensitivity and 62% specificity to differentiate cLVH from eLVH (p = .05). Even after adjustment for age, sex, body mass index, and hypertension, the occurrence of Cornell voltage or product increased the odds of cLVH by 1.6 times (p = .001).ConclusionCornell voltage and product criteria disclosed a superior discriminative ability for the detection of LVH via ECG. When further categorizing LVH as concentric and eccentric, Cornell product depicted the higher discriminative ability for cLVH.
| S-EPMC7358819 | biostudies-literature
Project description:BackgroundElectrocardiogram (ECG) is commonly used clinically due to convenience, but its accuracy is insufficient for left ventricular hypertrophy (LVH) diagnosis. In this study, we attempted to improve diagnostic accuracy of LVH by establishing models with ECG parameters.MethodsEighty hundred and twenty eight patients were recruited in the present study which were divided into groups according to gender, age and body mass index (BMI). The sensitivity, specificity, Youden index, positive predictive value, negative predictive value and accuracy were calculated using ultrasonic cardiogram criteria of LVH as the gold standard. Area under the curve was also calculated to assess the diagnostic accuracy of 22 conventional ECG criteria in different groups. Stepwise discriminant analyses were performed to establish models of ECG for LVH.ResultsThe diagnostic accuracy of ECG11 (S V2 + R V5,6) and ECG12 (S V1,2 + R V5,6) was significantly higher than the other 20 criteria, while ECG15 (R V5/R V6) was lowest. The ECG12 sensitivity for males was 52.5%, for <60 years old was 44.2%, and for BMI <25 kg/m2 was 46.2%,higher than for females (27.5%), for ?60 years old (35.7%), and for BMI ?25 kg/m2(27.6%), respectively. The difference between genders was the most obvious. Based on these observations, the following models for males and females were established:[Formula: see text]and[Formula: see text]respectively. The sensitivities of the two new models were 71.4% and 75.8%, significantly higher than the22 conventional ECG criteria.ConclusionTwo models developed based on gender can be considered for use to investigate the preliminary assessment of the probability of LVH.
| S-EPMC5549337 | biostudies-literature
Project description:Previous studies to determine the sensitivity of the electrocardiogram (ECG) for left ventricular hypertrophy (LVH) in children had their imperfections: they were not done on an unselected hospital population, several criteria used in adults were not applied to children, and obsolete limits of normal for the ECG parameters were used. Furthermore, left ventricular mass (LVM) was taken as the reference standard for LVH, with no regard for other clinical evidence. The study population consisted of 832 children from whom a 12-lead ECG and an M-mode echocardiogram were taken on the same day. The validity of the ECG criteria was judged on the basis of an abnormal LVM index, either alone or in combination with other clinical evidence. The ECG criteria were based on recently established age-dependent normal limits. At 95% specificity, the ECG criteria have low sensitivities (<25%) when an elevated LVM index is taken as the reference for LVH. When clinical evidence is also taken into account, the sensitivity improved considerably (<43%). Sensitivities could be further improved when ECG parameters were combined. The sensitivity of the pediatric ECG in detecting LVH is low but depends strongly on the definition of the reference used for validation.
| S-EPMC2525851 | biostudies-other
Project description:BackgroundPresence of left ventricular hypertrophy (LVH) increases the risk for cardiovascular event. Many electrocardiographic (ECG) criteria can be used to diagnose LVH; however, high body mass index (BMI) may reduce ECG amplitudes.The aim of this study was to investigate the diagnostic performance of ECG criteria for diagnosing LVH among various BMI groups compared to diagnosis by cardiac magnetic resonance (CMR) imaging.MethodsPatients who were referred for CMR were enrolled. CMR and ECG were performed on the same day. Left ventricular function, volume, and mass were calculated from CMR. Standard ECG criteria were measured, including: Cornell voltage, Cornell product, Romhilt-Estes point score system, Sokolow-Lyon index, and Sokolow-Lyon-Rappaport index. Diagnostic performance of each ECG criterion was calculated and analyzed in the following four BMI groups: underweight (<18.5 kg/m2 ), normal (18.5-22.9 kg/m2 ), overweight (23-24.9 kg/m2 ), and obese (?25 kg/m2 ).ResultsOf the 1,882 patients that were included, 67 were underweight, 459 were normal weight, 434 were overweight, and 922 were obese. LVH was diagnosed in 34 (50.7%) underweight, 144 (31.4%) normal weight, 100 (23.0%) overweight, and 181 (19.6%) obese patients. Overall specificity of ECG was high (0.89-0.95), and overall sensitivity was low (0.25-0.37). The specificity of each ECG criterion was similar among BMI groups; however, the sensitivity of ECG criteria demonstrated a decreasing trend in the higher BMI groups.ConclusionAll ECG criteria demonstrated relatively high specificity and relatively low sensitivity. Although the specificity across groups remained similar, higher BMI was found to be associated with decreased sensitivity.
| S-EPMC6931489 | biostudies-literature
Project description: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.
| S-EPMC9924839 | biostudies-literature
Project description:The electrocardiogram (ECG) is the most common tool used to predict left ventricular hypertrophy (LVH). However, it is limited by its low accuracy (<60%) and sensitivity (30%). We set forth the hypothesis that the Machine Learning (ML) C5.0 algorithm could optimize the ECG in the prediction of LVH by echocardiography (Echo) while also establishing ECG-LVH phenotypes. We used Echo as the standard diagnostic tool to detect LVH and measured the ECG abnormalities found in Echo-LVH. We included 432 patients (power = 99%). Of these, 202 patients (46.7%) had Echo-LVH and 240 (55.6%) were males. We included a wide range of ventricular masses and Echo-LVH severities which were classified as mild (n = 77, 38.1%), moderate (n = 50, 24.7%) and severe (n = 75, 37.1%). Data was divided into a training/testing set (80%/20%) and we applied logistic regression analysis on the ECG measurements. The logistic regression model with the best ability to identify Echo-LVH was introduced into the C5.0 ML algorithm. We created multiple decision trees and selected the tree with the highest performance. The resultant five-level binary decision tree used only six predictive variables and had an accuracy of 71.4% (95%CI, 65.5-80.2), a sensitivity of 79.6%, specificity of 53%, positive predictive value of 66.6% and a negative predictive value of 69.3%. Internal validation reached a mean accuracy of 71.4% (64.4-78.5). Our results were reproduced in a second validation group and a similar diagnostic accuracy was obtained, 73.3% (95%CI, 65.5-80.2), sensitivity (81.6%), specificity (69.3%), positive predictive value (56.3%) and negative predictive value (88.6%). We calculated the Romhilt-Estes multilevel score and compared it to our model. The accuracy of the Romhilt-Estes system had an accuracy of 61.3% (CI95%, 56.5-65.9), a sensitivity of 23.2% and a specificity of 94.8% with similar results in the external validation group. In conclusion, the C5.0 ML algorithm surpassed the accuracy of current ECG criteria in the detection of Echo-LVH. Our new criteria hinge on ECG abnormalities that identify high-risk patients and provide some insight on electrogenesis in Echo-LVH.
| S-EPMC7219774 | biostudies-literature
Project description:BACKGROUND:Presence of left ventricular hypertrophy on an ECG (ECG-LVH) is widely assessed clinically and provides prognostic information in some settings. There is evidence for significant heritability of ECG-LVH. We conducted a large-scale gene-centric association analysis of 4 commonly measured indices of ECG-LVH. METHODS AND RESULTS:We calculated the Sokolow-Lyon index, Cornell product, 12-lead QRS voltage sum, and 12-lead QRS voltage product in 10 256 individuals from 3 population-based cohorts and typed their DNA using a customized gene array (the Illumina HumanCVD BeadChip 50K array), containing 49 094 genetic variants in ?2100 genes of cardiovascular relevance. We followed-up promising associations in 11 777 additional individuals. We identified and replicated 4 loci associated with ECG-LVH indices: 3p22.2 (SCN5A, rs6797133, P=1.22 × 10(-7)) with Cornell product and 12q13.3 (PTGES3, rs2290893, P=3.74 × 10(-8)), 15q25.2 (NMB, rs2292462, P=3.23 × 10(-9)), and 15q26.3 (IGF1R, rs4966014, P=1.26 × 10(-7)) with the 12-lead QRS voltage sum. The odds ratio of being in the top decile for the 12-lead QRS voltage sum for those carrying 6 trait-raising alleles at the 12q13.3, 15q25.2, and 15q26.3 loci versus those carrying 0 to 1 alleles was 1.60 (95% CI: 1.20 to 2.29). Lead single-nucleotide polymorphisms at the 12q13.3 and 15q25.2 loci showed significant expression quantitative trait loci effects in monocytes. CONCLUSIONS:These findings provide novel insights into the genetic determination of ECG-LVH. The findings could help to improve our understanding of the mechanisms determining this prognostically important trait.
| S-EPMC5291170 | biostudies-literature
Project description:BackgroundLeft ventricular hypertrophy assessed by electrocardiography (ECG-LVH) is a marker of subclinical cardiac damage and a strong predictor of cardiovascular disease (CVD) events. The prevalence of ECG-LVH is increased in obesity and type 2 diabetes; however, there are no data on the long-term effects of weight loss on ECG-LVH. The purpose of this study was to determine whether an intensive lifestyle intervention (ILI) reduces ECG-LVH in overweight and obese adults with type 2 diabetes.MethodsData from 4,790 Look AHEAD participants (mean age: 58.8 ± 6.8 years, 63.2% White) who were randomized to a 10-year ILI (n = 2,406) or diabetes support and education (DSE, n = 2,384) were included. ECG-LVH defined by Cornell voltage criteria was assessed every 2 years. Longitudinal logistic regression analysis with generalized estimation equations and linear mixed models were used to compare the prevalence of ECG-LVH and changes in absolute Cornell voltage over time between intervention groups, with tests of interactions by sex, race/ethnicity, and baseline CVD status.ResultsThe prevalence of ECG-LVH at baseline was 5.2% in the DSE group and 5.0% in the ILI group (P = 0.74). Over a median 9.5 years of follow-up, prevalent ECG-LVH increased similarly in both groups (odds ratio: 1.02, 95% confidence interval: 0.83-1.25; group × time interaction, P = 0.49). Increases in Cornell voltage during follow-up were also similar between intervention groups (group × time interaction, P = 0.57). Intervention effects were generally similar between subgroups of interest.ConclusionsThe Look AHEAD long-term lifestyle intervention does not significantly lower ECG-LVH in overweight and obese adults with type 2 diabetes.Clinical trials registrationTrial Number NCT00017953 (ClinicalTrials.gov).
| S-EPMC6074947 | biostudies-literature
Project description:Although electrocardiography (ECG) is a cost-effective and convenient tool for routine screening of left ventricular hypertrophy (LVH), its performance has been shown to be poor. The Peguero-Lo Presti, a novel voltage criterion, was found to be potentially better than the most commonly used criteria. We conducted a systematic review and meta-analysis of its diagnostic accuracy compared to Cornell and Sokolow-Lyon voltage criteria. Bibliographic databases were searched to identify relevant articles. Pooled sensitivity, specificity, diagnostic odds ratio (DOR), and summary receiver operating characteristic (ROC) curves were performed for comparison. Ten studies reporting data from 5984 individuals were included in the meta-analysis. Peguero-Lo Presti had the highest pooled sensitivity (43.0%, 95% confidence interval [CI]: 30.2-56.9) followed by Cornell (26.1%; 95% CI: 16.9-37.9) and Sokolow Lyon (22.0%; 95% CI: 14.1-32.7). However, Peguero-Lo Presti had the lesser pooled specificity (90.5%; 95% CI: 86.3-93.5) and Cornell the highest (94.9%; 95% CI: 90.3-97.3). The pooled DOR was 6.63 (95% CI: 3.95-11.13), 5.50 (95% CI: 3.64-8.30), and 2.94 (95% CI: 2.20-3.92) for Peguero-Lo Presti, Cornell, and Sokolow-Lyon, respectively. Peguero-Lo Presti had the best accuracy according to summary ROC curves, with an area under the curve of 0.827 compared to 0.715 for Cornell, and 0.623 for Sokolow-Lyon. In conclusion, according to this meta-analysis, Peguero-Lo Presti has a better diagnostic performance than Cornell and Sokolow-Lyon and might be more useful in routine clinical practice as a screening tool for LVH.
| S-EPMC8029852 | biostudies-literature
Project description:BackgroundThe Peguero-Lo Presti criteria are novel electrocardiographic (ECG) diagnostic criteria for the detection of left ventricular hypertrophy (LVH) and represent the sum of the amplitude of the deepest S wave in any lead with the S wave in lead V4 (SD+SV4). The diagnostic efficacy of the Peguero-Lo Presti criteria in LVH is still debatable. We aimed to test the sensitivity and specificity of the Peguero-Lo Presti criteria and compared them with those of the Cornell voltage index to assess their overall performance in LVH diagnosis.MethodsElectronic databases (e.g., Medline, Web of Knowledge, Embase, and the Cochrane Library) were searched from their inception until May 18, 2020. Trials written in English that investigated the Peguero-Lo Presti criteria for detecting LVH were included. Data were independently extracted and analyzed by two investigators.ResultsA total of 51 records were screened, and 6 trials comprising 13,564 patients were finally included. A bivariate analysis showed that the sensitivity of the Peguero-Lo Presti criteria (0.52, 95% confidence interval (CI) 0.46-0.58) was higher than that of the Cornell voltage index (0.29, 95% CI 0.23-0.36) and Sokolow-Lyon criteria (0.24, 95% CI 0.21-0.27); the diagnostic accuracy of the Peguero-Lo Presti criteria (0.69, 95% CI 0.65-0.73) was also higher than that of the Cornell voltage index (0.67, 95% CI 0.62-0.71) and Sokolow-Lyon criteria (0.28, 95% CI 0.25-0.32); and the specificity of the Peguero-Lo Presti criteria (0.85, 95% CI 0.79-0.90) was similar to that of the Cornell voltage index (0.92, 95% CI 0.89-0.95) and Sokolow-Lyon criteria (0.94, 95%CI 0.88-0.97). Two trials (including 12,748 patients) were discharged because they included partly healthy subjects and accounted for substantial heterogeneity. Pooled analysis of the remaining 4 trials (including 816 patients) showed that the sensitivity of the Peguero-Lo Presti criteria (0.56, 95% CI 0.51-0.61) was also higher than that of the Cornell voltage index (0.36, 95% CI 0.31-0.42) and Sokolow-Lyon criteria (0.24, 95% CI 0.18-0.31); the diagnostic accuracy of the Peguero-Lo Presti criteria (0.84, 95% CI 0.80-0.87) was also higher than that of the Cornell voltage index (0.54, 95% CI 0.50-0.58) and Sokolow-Lyon criteria (0.38, 95% CI 0.34-0.42); and the specificity of the Peguero-Lo Presti criteria (0.90, 95% CI 0.87-0.92) was similar to that of the Cornell voltage index (0.93, 95% CI 0.88-0.96) and Sokolow-Lyon criteria (0.97, 95% CI 0.90-0.99). Both the likelihood ratio and posttest probability of the Peguero-Lo Presti criteria and Cornell voltage index were moderate.ConclusionBased on this systematic review and meta-analysis, the Peguero-Lo Presti criteria-based ECG diagnostic method for LVH has high sensitivity, specificity and diagnostic accuracy and should be applied in clinical practice settings.
| S-EPMC7846009 | biostudies-literature