Electrocardiographic Versus Echocardiographic Left Ventricular Hypertrophy in Prediction of Congestive Heart Failure in the Elderly

Joint Association of Albuminuria and Left Ventricular Hypertrophy With Incident Heart Failure in Adults at High Risk With Hypertension: A Systolic Blood Pressure Intervention Trial Substudy

Albuminuria and left ventricular hypertrophy (LVH) are independent predictors of heart failure (HF); however, to the best of our knowledge, their combined effect on the risk of HF has not yet been explored. Therefore, we examined the joint associations of albuminuria and electrocardiographic-LVH with incident acute decompensated HF (ADHF), and whether albuminuria/LVH combinations modified the effects of blood pressure control strategy in reducing the risk of ADHF. A total of 8,511 participants from the Systolic Blood Pressure Intervention Trial (SPRINT) were included. Electrocardiographic-LVH was present if any of the following criteria were present: Cornell voltage, Cornell voltage product, or Sokolow-Lyon. Albuminuria was defined as urine albumin/creatinine ratio ≥30 mg/g. ADHF was defined as hospitalization or emergency department visit for ADHF. Cox proportional hazard models were used to examine the association of neither LVH nor albuminuria (reference), either LVH or albuminuria, and both (LVH + albuminuria) with incident ADHF. Over a median follow-up of 3.2 years, 182 cases of ADHF occurred. In adjusted models, concomitant albuminuria and LVH were associated with greater risk of ADHF than either albuminuria or LVH in isolation (hazard ratio [95% confidence interval]: 4.95 [3.22 to 7.62], 2.04 [1.39 to 3.00], and 1.47 [0.93 to 2.32], respectively, additive interaction p = 0.01). The effect of intensive blood pressure in reducing ADHF was attenuated in participants with coexisting albuminuria and LVH without any interaction between treatment group assignment and albuminuria/LVH categories (interaction p = 0.26). In conclusion, albuminuria and LVH are additive predictors of ADHF. The effect of intensive blood pressure control in reducing ADHF risk did not vary significantly across albuminuria/LVH combinations.

Clinical and Echocardiographic Diversity Associated With Physical Fitness in the Project Baseline Health Study: Implications for Heart Failure Staging

BACKGROUND

Clinical and echocardiographic features may carry diverse information about the development of heart failure (HF). Therefore, we determined heterogeneity in clinical and echocardiographic phenotypes and its association with exercise capacity.

METHODS

In 2036 community-dwelling individuals, we defined echocardiographic profiles of left and right heart remodeling and dysfunction. We subdivided the cohort based on presence (+) or absence (-) of HF risk factors (RFs) and echocardiographic abnormalities (RF-/Echo-, RF-/Echo+, RF+/Echo-, RF+/Echo+). Multivariable-adjusted associations between subgroups and physical performance metrics from 6-minute walk and treadmill exercise testing were assessed.

RESULTS

The prevalence was 35.3% for RF-/Echo-, 4.7% for RF-/Echo+, 39.3% for RF+/Echo-, and 20.6% for RF+/Echo+. We observed large diversity in echocardiographic profiles in the Echo+ group. Participants with RF-/Echo+ (18.6% of Echo+) had predominantly echocardiographic abnormalities other than left ventricular (LV) diastolic dysfunction, hypertrophy and reduced ejection fraction, whereas their physical performance was similar to RF-/Echo-. In contrast, participants with RF+/Echo+ presented primarily with LV hypertrophy or dysfunction, features that related to lower 6-minute walking distance and lower exercise capacity.

CONCLUSIONS

Subclinical echocardiographic abnormalities suggest HF pathogenesis, but the presence of HF risk factors and type of echo abnormality should be considered so as to distinguish adverse from benign adaptation and to stratify HF risk.

Joint Association of Albuminuria and Left Ventricular Hypertrophy with Incident Heart Failure in High-Risk Adults with Hypertension: a SPRINT substudy

Background

Albuminuria and left ventricular hypertrophy (LVH) are independent predictors of heart failure (HF), however their combined effect on risk of HF has not been explored previously.

Objectives

To examine the joint associations of albuminuria and electrocardiographic (ECG) LVH with incident acute decompensated HF (ADHF), and whether albuminuria/LVH combinations modified the effects of blood pressure control strategy in reducing the risk of ADHF.

Methods

8,511 participants from the SPRINT (Systolic Blood Pressure Intervention Trial) were included. ECG-LVH was present if any of the following criteria: Cornell voltage, Cornell voltage product, or Sokolow Lyon were present. Albuminuria was defined as urine albumin-creatinine ratio (UACR) ≥30 mg/g. ADHF was defined as hospitalization or emergency visit for ADHF. Cox proportional hazard models were used to examine the association of neither LVH, nor albuminuria (reference), either LVH or albuminuria, and both (LVH + albuminuria) with incident ADHF.

Results

Over a median follow-up of 3.2 years, 182 cases of ADHF occurred. In adjusted models, concomitant albuminuria and LVH were associated with higher risk of ADHF than either albuminuria or LVH in isolation (HR (95% CI): 4.95 (3.22-7.62), 2.04 (1.39-3.00), and 1.47 (0.93-2.32), respectively (additive interaction p=0.01). The effect of intensive blood pressure in decreasing ADHF attenuated among participants with co-existing albuminuria and LVH without any interaction between treatment group assignment and albuminuria/LVH categories (interaction p-value= 0.26).

Conclusions

Albuminuria and LVH are additive predictors of ADHF. The effect of intensive blood pressure control in decreasing ADHF risk did not vary significantly across albuminuria/LVH combinations.

Comparison of the efficiency between electrocardiogram and echocardiogram for left ventricular hypertrophy evaluation in patients with hypertension: Insight from the Korean Hypertension Cohort Study

In patients with hypertension, left ventricular hypertrophy (LVH) represents a risk factor for cardiovascular disease and asymptomatic organ damage. Currently, electrocardiography (ECG) and two-dimensional echocardiography (Echo) are the most widely used methods for LVH evaluation. This study aimed to compare the long-term outcomes of LVH, as evaluated by ECG and Echo, in patients with hypertension. Patients diagnosed with hypertension as a primary disease between 2006 and 2011 were enrolled in the Korean Hypertension Cohort study. The study finally included 1743 patients who underwent both ECG and Echo. The primary endpoint was defined as the composite of major adverse cardiovascular events (MACEs) or death. Overall, LVH was identified in 747 patients. The patients were categorized into four groups according to the detection of LVH by ECG or Echo: No LVH (n = 996), LVH diagnosed by ECG alone (n = 181), LVH diagnosed by Echo alone (n = 415), LVH diagnosed by both ECG and Echo (n = 151). After adjusting for variables, the incidence of MACEs or death was significantly greater in patients with LVH diagnosed by ECG alone (hazards ratio [HR]: 1.69; 95% confidence interval [CI]: 1.22-2.35; P = .001), LVH diagnosed by Echo alone (HR: 1.54; 95% CI: 1.16-2.05; P = .002), and LVH diagnosed by both ECG and Echo (HR: 1.87; 95% CI: 1.18-2.94; P = .002) than in those with no LVH. Both ECG and Echo are efficient diagnostic tools for LVH and useful for long-term risk stratification. Additional Echo evaluation for LVH is helpful for predicting long-term outcomes only in patients without LVH diagnosis by ECG.

Electrocardiography Score for Left Ventricular Systolic Dysfunction in Non-ST Segment Elevation Acute Coronary Syndrome

Background: Few studies have characterized electrocardiography (ECG) patterns correlated with left ventricular (LV) systolic dysfunction in patients with non-ST segment elevation acute coronary syndrome (NSTE-ACS).

Objectives: This study aims to develop ECG pattern-derived scores to predict LV systolic dysfunction in NSTE-ACS patients.

Methods: A total of 466 patients with NSTE-ACS were retrospectively enrolled. LV ejection fraction (LVEF) was assessed by echocardiography within 72 h after the first triage ECG acquisition; there was no coronary intervention in between. ECG score was developed to predict LVEF < 40%. Performance of LVEF, the Global Registry of Acute Coronary Events (GRACE), Thrombolysis in Myocardial Infarction (TIMI) and ECG scores to predict 24-month all-cause mortality were analyzed. Subgroups with varying LVEF, GRACE and TIMI scores were stratified by ECG score to identify patients at high risk of mortality.

Results: LVEF < 40% was present in 20% of patients. We developed the PQRST score by multivariate logistic regression, including poor R wave progression, QRS duration > 110 ms, heart rate > 100 beats per min, and ST-segment depression ≥ 1 mm in ≥ 2 contiguous leads, ranging from 0 to 6.5. The score had an area under the curve (AUC) of 0.824 in the derivation cohort and 0.899 in the validation cohort for discriminating LVEF < 40%. A PQRST score ≥ 3 could stratify high-risk patients with LVEF ≥ 40%, GRACE score > 140, or TIMI score ≥ 3 regarding 24-month all-cause mortality.

Conclusions: The PQRST score could predict LVEF < 40% in NSTE-ACS patients and identify patients at high risk of mortality in the subgroups of patients with LVEF ≥ 40%, GRACE score > 140 or TIMI score ≥ 3.

ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure

AIMS

Heart failure (HF) is a leading cause of death. Early intervention is the key to reduce HF-related morbidity and mortality. This study assesses the utility of electrocardiograms (ECGs) in HF risk prediction.

METHODS AND RESULTS

Data from the baseline visits (1987-89) of the Atherosclerosis Risk in Communities (ARIC) study was used. Incident hospitalized HF events were ascertained by ICD codes. Participants with good quality baseline ECGs were included. Participants with prevalent HF were excluded. ECG-artificial intelligence (AI) model to predict HF was created as a deep residual convolutional neural network (CNN) utilizing standard 12-lead ECG. The area under the receiver operating characteristic curve (AUC) was used to evaluate prediction models including (CNN), light gradient boosting machines (LGBM), and Cox proportional hazards regression. A total of 14 613 (45% male, 73% of white, mean age ± standard deviation of 54 ± 5) participants were eligible. A total of 803 (5.5%) participants developed HF within 10 years from baseline. Convolutional neural network utilizing solely ECG achieved an AUC of 0.756 (0.717-0.795) on the hold-out test data. ARIC and Framingham Heart Study (FHS) HF risk calculators yielded AUC of 0.802 (0.750-0.850) and 0.780 (0.740-0.830). The highest AUC of 0.818 (0.778-0.859) was obtained when ECG-AI model output, age, gender, race, body mass index, smoking status, prevalent coronary heart disease, diabetes mellitus, systolic blood pressure, and heart rate were used as predictors of HF within LGBM. The ECG-AI model output was the most important predictor of HF.

CONCLUSIONS

ECG-AI model based solely on information extracted from ECG independently predicts HF with accuracy comparable to existing FHS and ARIC risk calculators.

Integration of imaging and circulating biomarkers in heart failure: a consensus document by the Biomarkers and Imaging Study Groups of the Heart Failure Association of the European Society of Cardiology

Circulating biomarkers and imaging techniques provide independent and complementary information to guide management of heart failure (HF). This consensus document by the Heart Failure Association (HFA) of the European Society of Cardiology (ESC) presents current evidence-based indications relevant to integration of imaging techniques and biomarkers in HF. The document first focuses on application of circulating biomarkers together with imaging findings, in the broad domains of screening, diagnosis, risk stratification, guidance of treatment and monitoring, and then discusses specific challenging settings. In each section we crystallize clinically relevant recommendations and identify directions for future research. The target readership of this document includes cardiologists, internal medicine specialists and other clinicians dealing with HF patients.

Short-term repeatability of the peguero-lo presti electrocardiographic left ventricular hypertrophy criteria

Background

Electrocardiographic left ventricular hypertrophy (ECG‐LVH) represents preclinical cardiovascular disease and predicts cardiovascular disease morbidity and mortality. While the newly developed Peguero‐Lo Presti ECG‐LVH criteria have greater sensitivity for LVH than the Cornell voltage and Sokolow–Lyon criteria, its short‐term repeatability is unknown. Therefore, we characterized the short‐term repeatability of Peguero‐Lo Presti ECG‐LVH criteria and evaluate its agreement with Cornell voltage and Sokolow–Lyon ECG‐LVH criteria.

Methods

Participants underwent two resting, standard, 12‐lead ECGs at each of two visits one week apart (n = 63). We defined a Peguero‐Lo Presti index as a sum of the deepest S wave amplitude in any single lead and lead V₄ (i.e., S_D + SV₄) and defined Peguero‐Lo Presti LVH index as ≥ 2,300 µV among women and ≥ 2,800 µV among men. We estimated repeatability as an intraclass correlation coefficient (ICC), agreement as a prevalence‐adjusted bias‐adjusted kappa coefficient (κ), and precision using 95% confidence intervals (CIs).

Results

The Peguero‐Lo Presti index was repeatable: ICC (95% CI) = 0.94 (0.91–0.97). Within‐visit agreement of Peguero‐Lo Presti LVH was high at the first and second visits: κ (95% CI) = 0.97 (0.91–1.00) and 1.00 (1.00–1.00). Between‐visit agreement of the first and second measurements at each visit was comparable: κ (95% CI) = 0.90 (0.80–1.00) and 0.93 (0.85–1.00). Agreement of Peguero‐Lo Presti and Cornell or Sokolow–Lyon LVH on any one of the four ECGs was slightly lower: κ (95% CI) = 0.71 (0.54–0.89).

Conclusion

The Peguero‐Lo Presti index and LVH have excellent repeatability and agreement, which support their use in clinical and epidemiological studies.

Imaging predictors of incident heart failure: a systematic review and meta-analysis

BACKGROUND

Preventing the evolution of subclinical cardiac disease into overt heart failure is of paramount importance. Imaging techniques, particularly transthoracic echocardiography (TTE), are well suited to identify abnormalities in cardiac structure and function that precede the development of heart failure.

METHODS

This meta-analysis provides a comprehensive evaluation of 32 studies from 11 individual cohorts, which assessed cardiac indices from TTE (63%), cardiovascular magnetic resonance (CMR; 34%) or cardiac computed tomography (CCT; 16%). Eligible studies focused on measures of left ventricular geometry and function and were highly heterogeneous.

RESULTS

Among the variables that could be assessed through a meta-analytic approach, left ventricular systolic dysfunction, defined as left ventricular ejection fraction (LVEF) lower than 50%, and left ventricular dilation were associated with a five-fold [hazard ratio (HR) 4.76, 95% confidence interval (95% CI) 1.85-12.26] and three-fold (HR 3.14, 95% CI 1.37 -7.19) increased risk of heart failure development, respectively. Any degree of diastolic dysfunction conveyed an independent, albeit weaker, association with heart failure (HR 1.48, 95% CI 1.11-1.96), although there was only a trend for left ventricular hypertrophy in predicting incident heart failure (hazard ratio 2.85, 95% CI 0.82-9.85).

CONCLUSION

LVEF less than 50%, left ventricular dilation and diastolic dysfunction are independent predictors of incident heart failure among asymptomatic individuals, while left ventricular hypertrophy seems less predictive. These findings may serve as a framework for implementing imaging-based screening strategies in patients at risk of heart failure and inform future studies testing preventive or therapeutic approaches aiming at thwarting or halting the progression from asymptomatic (preclinical) to overt heart failure.

Detection of Left Ventricular Hypertrophy Using Bayesian Additive Regression Trees: The MESA

Background

We developed a new left ventricular hypertrophy (LVH) criterion using a machine‐learning technique called Bayesian Additive Regression Trees (BART).

Methods and Results

This analysis included 4714 participants from MESA (Multi‐Ethnic Study of Atherosclerosis) free of clinically apparent cardiovascular disease at enrollment. We used BART to predict LV mass from ECG and participant characteristics using cardiac magnetic resonance imaging as the standard. Participants were randomly divided into a training set (n=3774) and a validation set (n=940). We compared the diagnostic/prognostic performance of our new BART‐LVH criteria with traditional ECG‐LVH criteria and cardiac magnetic resonance imaging–LVH. In the validation set, BART‐LVH showed the highest sensitivity (29.0%; 95% CI, 18.3%–39.7%), followed by Sokolow‐Lyon‐LVH (21.7%; 95% CI, 12.0%–31.5%), Peguero–Lo Presti (14.5%; 95% CI, 6.2%–22.8%), Cornell voltage product (10.1%; 95% CI, 3.0%–17.3%), and Cornell voltage (5.8%; 95% CI, 0.3%–11.3%). The specificity was >93% for all criteria. During a median follow‐up of 12.3 years, 591 deaths, 492 cardiovascular disease events, and 332 coronary heart disease events were observed. In adjusted Cox models, both BART‐LVH and cardiac magnetic resonance imaging–LVH were associated with mortality (hazard ratio [95% CI], 1.88 [1.45–2.44] and 2.21 [1.74–2.81], respectively), cardiovascular disease events (hazard ratio [95% CI], 1.46 [1.08–1.98] and 1.91 [1.46–2.51], respectively), and coronary heart disease events (hazard ratio [95% CI], 1.72 [1.20–2.47] and 1.96 [1.41–2.73], respectively). These associations were stronger than associations observed with traditional ECG‐LVH criteria.

Conclusions

Our new BART‐LVH criteria have superior diagnostic/prognostic ability to traditional ECG‐LVH criteria and similar performance to cardiac magnetic resonance imaging–LVH for predicting events.

Cost-effectiveness of B-type natriuretic peptide-guided care in patients with heart failure: a systematic review

Measuring the level of B-type natriuretic peptide (BNP), as a guide to pharmacotherapy, can increase the survival of patients with heart failure. This study is aimed at systematically reviewing the studies conducted on the cost-effectiveness of BNP-guided care in patients with heart failure. Using the systematic review method, we reviewed the published studies on the cost-effectiveness of BNP-guided care in patients with heart failure during the years 2004 to 2017. The results showed that all studies clearly stated the time horizon of the study and included direct medical costs in their analysis. In addition, most of the studies used the Markov model. The quality-adjusted life years (QALYs) were the main outcome used for measuring the effectiveness. The studies reported various ranges of the incremental cost-effectiveness ratio (ICER); accordingly, the highest ratio was observed in the USA ($32,748) and the lowest ratio was observed in Canada ($6251). Although the results of the studies were different in terms of a number of aspects, such as the viewpoint of the study, the study horizons, and the costs of expenditure items, they reached similar results. Based on the results of the present study, it seems that the use of BNP or N-terminal pro-BNP (NT-pro-BNP) in patients with heart failure may reduce cost compared to the symptom-based clinical care and increase QALY. In this regard, these studies were designed and conducted in high-income countries; thus, the application of these results in low- and middle-income countries will be limited.

Circulating extracellular RNAs, myocardial remodeling, and heart failure in patients with acute coronary syndrome

BACKGROUND

Given high on-treatment mortality in heart failure (HF), identifying molecular pathways that underlie adverse cardiac remodeling may offer novel biomarkers and therapeutic avenues. Circulating extracellular RNAs (ex-RNAs) regulate important biological processes and are emerging as biomarkers of disease, but less is known about their role in the acute setting, particularly in the setting of HF.

METHODS

We examined the ex-RNA profiles of 296 acute coronary syndrome (ACS) survivors enrolled in the Transitions, Risks, and Actions in Coronary Events Center for Outcomes Research and Education Cohort. We measured 374 ex-RNAs selected a priori, based on previous findings from a large population study. We employed a two-step, mechanism-driven approach to identify ex-RNAs associated with echocardiographic phenotypes (left ventricular [LV] ejection fraction, LV mass, LV end-diastolic volume, left atrial [LA] dimension, and LA volume index) then tested relations of these ex-RNAs with prevalent HF (N=31, 10.5%). We performed further bioinformatics analysis of microRNA (miRNAs) predicted targets' genes ontology categories and molecular pathways.

RESULTS

We identified 44 ex-RNAs associated with at least one echocardiographic phenotype associated with HF. Of these 44 exRNAs, miR-29-3p, miR-584-5p, and miR-1247-5p were also associated with prevalent HF. The three microRNAs were implicated in the regulation p53 and transforming growth factor-β signaling pathways and predicted to be involved in cardiac fibrosis and cell death; miRNA predicted targets were enriched in gene ontology categories including several involving the extracellular matrix and cellular differentiation.

CONCLUSIONS

Among ACS survivors, we observed that miR-29-3p, miR-584-5p, and miR-1247-5p were associated with both echocardiographic markers of cardiac remodeling and prevalent HF.

RELEVANCE FOR PATIENTS

miR-29c-3p, miR-584-5p, and miR-1247-5p were associated with echocardiographic phenotypes and prevalent HF and are potential biomarkers for adverse cardiac remodeling in HF.

Peguero Electrocardiographic Left Ventricular Hypertrophy Criteria and Risk of Mortality

Background: Peguero electrocardiographic left ventricular hypertrophy (ECG-LVH) criteria are newly developed criteria that have shown better diagnostic performance than the traditional Cornell-voltage and Sokolow-Lyon criteria. However, prediction of poor outcomes rather than detection of increased left ventricular mass is becoming the primary use for ECG-LVH criteria which requires investigating any new ECG-LVH criteria in terms of prediction.

Aims: To examine the prognostic significance of the newly developed Peguero ECG-LVH criteria.

Methods: We compared the prognostic significance of Peguero ECG-LVH with Cornell-voltage and Sokolow-Lyon ECG-LVH criteria in 7,825 participants (age 59.8 ± 13.4 years; 52.7% women) from the third National Health and Nutrition Examination Survey who were free of major intraventricular conduction defects. ECG-LVH criteria were derived from digital ECG tracings processed at a central core laboratory.

Results: At baseline, ECG-LVH was detected in 11.8% by Peguero; in 4.3% by Cornell voltage and in 6.4% by Sokolow-Lyon. During a median follow up of 13.8 years, 2,796 all-cause mortality events occurred. In multivariable models adjusted for demographics and cardiovascular risk factors, presence of Peguero ECG-LVH was associated with increased risk of all-cause mortality [HR (95% CI): 1.29 (1.16, 1.44)]. This association was not significantly different from the associations of Cornell voltage-LVH or Sokolow-Lyon LVH with all-cause mortality [HR (95%CI): 1.32 (1.12, 1.55) and 1.24 (1.07, 1.43), respectively; p-values for comparisons of these HRs with the HR of Peguero ECG-LVH 0.817 and 0.667, respectively]. Similar patterns of associations were observed with cardiovascular, ischemic heart disease and heart failure mortalities.

Conclusion: Peguero ECG-LVH is predictive of increased risk of death similar to the traditional ECG-LVH criteria.

Global ECG Measures and Cardiac Structure and Function: The ARIC Study (Atherosclerosis Risk in Communities)

BACKGROUND

Electric excitation initiates myocardial mechanical contraction and coordinates myocardial pumping. We hypothesized that ECG global electric heterogeneity (GEH) and its longitudinal changes are associated with cardiac structure and function.

METHODS AND RESULTS

Participants from the ARIC study (Atherosclerosis Risk in Communities) (N=5114; 58% female; 22% blacks) with resting 12-lead ECGs (visits 1-5) and echocardiographic assessment of left ventricular (LV) ejection fraction, LV global longitudinal strain, LV mass index, LV end-diastolic volume index, and LV end-systolic volume index at visit 5 were included. Longitudinal analysis included ARIC participants (N=14 609) with measured GEH at visits 1 to 4. GEH was quantified by spatial ventricular gradient, QRS-T angle, and sum absolute QRS-T integral. Cross-sectional and longitudinal regressions were adjusted for manifest and subclinical cardiovascular disease. Having 4 abnormal GEH parameters was associated with a 6.4% (95% confidence interval, 5.5-7.3) LV ejection fraction decline, a 24.2 g/m2 (95% confidence interval, 21.5-26.9) increase in LV mass index, a 10.3 mL/m2 (95% confidence interval, 8.9-11.7) increase in LV end-diastolic volume index, and a 7.8 mL/m2 (95% confidence interval, 6.9-8.6) increase in LV end-systolic volume index. Altogether, clinical and ECG parameters accounted for approximately one third of LV volume and 20% of systolic function variability. The associations were significantly stronger in cardiovascular disease. Sum absolute QRS-T integral increased by 20 mV*ms for each 3-year period in participants who demonstrated LV dilatation at visit 5. Sudden cardiac death victims demonstrated rapid GEH worsening, whereas those with LV dysfunction demonstrated slow GEH worsening. Healthy aging was associated with a distinct pattern of spatial ventricular gradient azimuth decrement.

CONCLUSIONS

GEH is a marker of subclinical abnormalities in cardiac structure and function.

Association between electrocardiographic and echocardiographic markers of stage B heart failure and cardiovascular outcome

AIMS

The detection of non-ischaemic (mainly hypertension, diabetes, and obesity) stage B heart failure (SBHF) may facilitate the recognition of those at risk of progression to overt HF and HF prevention. We sought the relationship of specific electrocardiographic (ECG) markers of SBHF to echocardiographic features of SBHF and their prognostic value for development of HF. The ECG markers were Cornell product (Cornell-P), P-wave terminal force in lead V1 (PTFV1), ST depression in lead V5 V6 (minSTmV5V6), and increased heart rate. Echocardiographic assessment of SBHF included left ventricular hypertrophy (LVH), impaired global longitudinal strain (GLS), and diastolic dysfunction (DD).

METHOD AND RESULTS

Asymptomatic subjects ≥65 years without prior cardiac history, but with HF risks, were recruited from the local community. At baseline, they underwent clinical assessment, 12-lead ECG, and comprehensive echocardiography. New HF was assessed clinically at mean follow-up of 14 ± 4 months, and echocardiography was repeated in subjects with HF. Of the 447 study subjects (age 71 ± 5, 47% men) with SBHF, 13% had LVH, 32% impaired GLS, and 65% ≥grade I DD (10% ≥grade II DD). Forty were lost to follow-up. Clinical HF developed in 47 of 407, of whom 20% had echocardiographic LVH, 51% abnormal GLS, and 76% DD at baseline. Baseline LVH and abnormal GLS (not grade I DD) were independently associated with outcomes (clinical HF and cardiovascular death). Cornell-P and heart rate (not minSTmV5V6 nor PTFV1) were independently associated with LVH, impaired GLS, and DD. Cornell-P and minSTV5V6 (not heart rate nor PTFV1) were independently associated with outcomes. More ECG abnormalities improved sensitivity, but ECG-markers were not independent of or incremental to echocardiographic markers to predict HF in SBHF.

CONCLUSIONS

In this elderly study population, ECG markers showed low diagnostic sensitivity for non-ischaemic SBHF and low prognostic value for outcomes. Cornell-P and minSTmV5V6 had predictive value for outcomes in non-ischaemic SBHF independent of age, gender, and common comorbidities but were not incremental to echocardiography.

Accuracy of ECG indices for diagnosis of left ventricular hypertrophy in people >65 years: results from the ActiFE study

BACKGROUND

The detection of left ventricular hypertrophy (LVH) is still a common objective of electrocardiography (ECG) in clinical practice.

AIMS

The aim of our study was to evaluate the accuracy of LVH ECG indices in people older than 65 recruited from a population-based cohort (ActiFE-Ulm study).

METHODS

In 432 subjects (mean age 76.2 ± 5.5 years, 51% male), left ventricular mass was echocardiographically determined (Devereux formula) and indexed (LVMI) to body surface area. Several LVH ECG indices (Lewis voltage, Gubner-Ungerleider voltage, Sokolow-Lyon voltage/product, Cornell voltage/product) were calculated with the help of resting ECG data and compared with the echocardiographic assessment.

RESULTS

Despite echocardiographic signs of LVH [LVMI > 115 (♂) or >95 g/m² (♀)] in 47.5% of all subjects, diagnostic performance of all ECG indices was generally low. Magnitude of all LVH-indices was mainly predicted by frontal QRS axis in multivariate linear regression analysis. In comparison with the literature data from younger subjects, average frontal QRS axis turned counterclockwise.

DISCUSSION AND CONCLUSIONS

Most probably, age-related counterclockwise turn of frontal QRS axis is mainly explanatory for the decreased magnitude of LVH ECG indices and consecutive worse diagnostic performance of these indices in the elderly. ECG indices for detection of LVH have insufficient predictive values in geriatric subjects and should therefore not be used clinically for this purpose. Nevertheless, due to its established relevancy in cardiac risk stratification in this age group, usage of some established ECG indices might keep its significance even in the age of modern cardiac imaging.

Effect of Intensive Blood Pressure Lowering on Left Ventricular Hypertrophy in Patients With Hypertension: SPRINT (Systolic Blood Pressure Intervention Trial)

BACKGROUND

It is currently unknown whether intensive blood pressure (BP) lowering beyond that recommended would lead to more lowering of the risk of left ventricular hypertrophy (LVH) in patients with hypertension and whether reducing the risk of LVH explains the reported cardiovascular disease (CVD) benefits of intensive BP lowering in this population.

METHODS

This analysis included 8164 participants (mean age, 67.9 years; 35.3% women; 31.2% blacks) with hypertension but no diabetes mellitus from the SPRINT trial (Systolic Blood Pressure Intervention Trial): 4086 randomly assigned to intensive BP lowering (target SBP <120 mm Hg) and 4078 assigned to standard BP lowering (target SBP <140 mm Hg). Progression and regression of LVH as defined by Cornell voltage criteria derived from standard 12-lead ECGs recorded at baseline and biannually were compared between treatment arms during a median follow-up of 3.81 years. The effect of intensive (versus standard) BP lowering on the SPRINT primary CVD outcome (a composite of myocardial infarction, acute coronary syndrome, stroke, heart failure, and CVD death) was compared before and after adjustment for LVH as a time-varying covariate.

RESULTS

Among SPRINT participants without baseline LVH (n=7559), intensive (versus standard) BP lowering was associated with a 46% lower risk of developing LVH (hazard ratio=0.54; 95% confidence interval, 0.43-0.68). Similarly, among SPRINT participants with baseline LVH (n=605, 7.4%), those assigned to the intensive (versus standard) BP lowering were 66% more likely to regress/improve their LVH (hazard ratio=1.66; 95% confidence interval, 1.31-2.11). Adjustment for LVH as a time-varying covariate did not substantially attenuate the effect of intensive BP therapy on CVD events (hazard ratio of intensive versus standard BP lowering on CVD, 0.76 [95% confidence interval, 0.64-0.90] and 0.77 [95% confidence interval, 0.65-0.91] before and after adjustment for LVH as a time-varying covariate, respectively).

CONCLUSIONS

Among patients with hypertension but no diabetes mellitus, intensive BP lowering (target systolic BP <120 mm Hg) compared with standard BP lowering (target systolic BP <140 mm Hg) resulted in lower rates of developing new LVH in those without LVH and higher rates of regression of LVH in those with existing LVH. This favorable effect on LVH did not explain most of the reduction in CVD events associated with intensive BP lowering in the SPRINT trial.

CLINICAL TRIAL REGISTRATION

URL: http://www.clinicaltrials.gov. Unique identifier: NCT01206062.

Carotid Atherosclerosis and Electrocardiographic Left Ventricular Hypertrophy in the General Population: The Namwon Study

This study aimed to investigate the relationship between carotid atherosclerosis and left ventricular hypertrophy on electrocardiogram (ECG-LVH) on adults living in the community. A total of 9,266 adults who participated in the Namwon Study were included in this analysis. Carotid atherosclerosis, including intima-media thickness (IMT) and plaques, were assessed using high-resolution B-mode ultrasound. ECG-LVH was determined using the Sokolow-Lyon voltage (SokV) and Cornell voltage (CorV) criteria. The prevalence of ECG-LVH was 12.7% using the SokV criteria and 9.7% using the CorV criteria. After full adjustment, compared to the lowest quartile of common carotid artery IMT (CCA-IMT), the odds ratios and 95% confidence intervals for ECG-LVH of the carotid IMT quartiles 2, 3, and 4 increased linearly as follows: 1.54 (1.24-1.90), 1.62 (1.31-2.02), and 1.91 (1.54-2.38), respectively, for the SokV criteria (p<0.001); and 1.33 (1.05-1.68), 1.41 (1.11-1.78), and 1.48 (1.16-1.88), respectively, for the CorV criteria (p=0.003). Positive associations between the carotid bulb IMT (CB-IMT) quartiles and the ECG-LVH were also observed, although the magnitudes of association between CB-IMT and ECG-LVH were slightly lower than those of CCA-IMT. However, no significant association between carotid plaques and ECG-LVH as defined by the SokV or CorV criteria was found. The present study demonstrated that increased carotid IMT, but not carotid plaques, is significantly associated with LVH defined by various ECG criteria in a large population.

The 4th Report of the Working Group on ECG diagnosis of Left Ventricular Hypertrophy

The 4th Report provides a brief review of publications focused on the electrocardiographic diagnosis of left ventricular hypertrophy published during the period of 2010 to 2016 by the members of the Working Group on ECG diagnosis of Left Ventricular Hypertrophy. The Working Group recommended that ECG research and clinical attention be redirected from the estimation of LVM to the identification of electrical remodeling, to better understanding the sequence of events connecting electrical remodeling to outcomes. The need for a re-definition of terms and for a new paradigm is also stressed.

Left ventricular hypertrophy by ECG versus cardiac MRI as a predictor for heart failure

OBJECTIVE

To determine if there is a significant difference in the predictive abilities of left ventricular hypertrophy (LVH) detected by ECG-LVH versus LVH ascertained by cardiac MRI-LVH in a model similar to the Framingham Heart Failure Risk Score (FHFRS).

METHODS

This study included 4745 (mean age 61±10 years, 53.5% women, 61.7% non-whites) participants in the Multi-Ethnic Study of Atherosclerosis. ECG-LVH was defined using Cornell voltage product while MRI-LVH was derived from left ventricular mass. Cox proportional hazard regression was used to examine the association between ECG-LVH and MRI-LVH with incident heart failure (HF). Harrell's concordance C-index was used to estimate the predictive ability of the model when either ECG-LVH or MRI-LVH was included as one of its components.

RESULTS

ECG-LVH was present in 291 (6.1%), while MRI-LVH was present in 499 (10.5%) of the participants. Both ECG-LVH (HR 2.25, 95% CI 1.38 to 3.69) and MRI-LVH (HR 3.80, 95% CI 1.56 to 5.63) were predictive of HF. The absolute risk of developing HF was 8.81% for MRI-LVH versus 2.26% for absence of MRI-LVH with a relative risk of 3.9. With ECG-LVH, the absolute risk of developing HF 6.87% compared with 2.69% for absence of ECG-LVH with a relative risk of 2.55. The ability of the model to predict HF was better with MRI-LVH (C-index 0.871, 95% CI 0.842 to 0.899) than with ECG-LVH (C-index 0.860, 95% CI 0.833 to 0.888) (p<0.0001).

CONCLUSIONS

ECG-LVH and MRI-LVH are predictive of HF. Substituting MRI-LVH for ECG-LVH improves the predictive ability of a model similar to the FHFRS.