Dataset Information

Electrocardiography for diagnosis of left ventricular hypertrophy in hypertensive patients with atrial fibrillation.

ABSTRACT: Left ventricular (LV) hypertrophy at electrocardiography (ECG) predicts incident atrial fibrillation (AF). However, the diagnostic performance of ECG for diagnosis of LV hypertrophy in patients with AF is still not well characterized. We analyzed 563 hypertensive patients enrolled in the Umbria-Atrial Fibrillation (Umbria-FA) registry, an ongoing prospective observational registry in patients with AF. All patients underwent ECG and standard echocardiography at their entry in the Register. Mean age was 74 years and 43% of patients were women. Prevalence of ECG-LV hypertrophy, defined by Perugia criterion corrected for body mass index, was 23%. Echocardiographic LV mass was the reference standard. Sensitivity, specificity and diagnostic accuracy of ECG-LV hypertrophy were 37.4% (95% confidence interval [CI]: 31.6-43.4), 90.0% (95% CI: 86.0-93.2) and 64.5% (95% CI: 60.4-68.3), respectively. Performance was comparable in patients with AF or sinus rhythm at ECG recording. The area under the receiver-operating characteristic (ROC) curve was 0.622 (95% CI: 0.580-0.664) in the group with AF and 0.662 (95% CI: 0.605-0.720) in that with sinus rhythm (p ?= ?0.266 for comparison). These data suggest that standard ECG is reliable for diagnosis of LV hypertrophy in patients with a history of AF, regardless of the presence of AF or sinus rhythm at the time of ECG recording.

SUBMITTER: Angeli F

PROVIDER: S-EPMC7803070 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Electrocardiography for diagnosis of left ventricular hypertrophy in hypertensive patients with atrial fibrillation.

Angeli Fabio F Verdecchia Paolo P Cavallini Claudio C Aita Adolfo A Turturiello Dario D Mazzotta Giovanni G Trapasso Monica M De Fano Michelantonio M Reboldi Gianpaolo G

International Journal of Cardiology. Hypertension 20190410

Left ventricular (LV) hypertrophy at electrocardiography (ECG) predicts incident atrial fibrillation (AF). However, the diagnostic performance of ECG for diagnosis of LV hypertrophy in patients with AF is still not well characterized. We analyzed 563 hypertensive patients enrolled in the Umbria-Atrial Fibrillation (Umbria-FA) registry, an ongoing prospective observational registry in patients with AF. All patients underwent ECG and standard echocardiography at their entry in the Register. Mean a ...[more]

PMID: 33447738

Similar Datasets

Project description:Left ventricular hypertrophy is a significant independent risk factor for all-cause mortality and morbidity, and an accurate diagnosis at an early stage of heart change is clinically significant. Electrocardiography is the most convenient, economical, and non-invasive method for screening in primary care. However, the coincidence rate of the actual left ventricular hypertrophy and diagnostic findings was low, consequently increasing the interest in algorithms using big data and deep learning. We attempted to diagnose left ventricular hypertrophy using big data and deep learning algorithms, and aimed to confirm its diagnostic power according to the differences between males and females. This retrospective study used electrocardiographs obtained at Yonsei University Wonju Severance Christian Hospital, Wonju, Korea, from October 2010 to February 2020. Binary classification was performed for primary screening for left ventricular hypertrophy. Three datasets were used for the experiment: the male, female, and entire dataset. A cutoff for binary classification was defined as the meaningful as a screening test (<132 g/m2 vs. ≥132 g/m2, <109 g/m2 vs. ≥109 g/m2). Six types of input were used for the classification tasks. We attempted to determine whether electrocardiography had predictive power for left ventricular hypertrophy diagnosis. For the entire dataset, the model achieved an area under the receiver operating characteristic (AUROC) curve of 0.836 (95% CI, 0.833-838) with a sensitivity of 78.37% (95% CI, 76.79-79.95). For the male dataset, the AUROC was 0.826 (95% CI, 0.822-830) with a sensitivity of 76.73% (95% CI, 75.14-78.33). For the female dataset, the AUROC was 0.772 (95% CI, 0.769-775) with a sensitivity of 72.90% (95% CI, 70.33-75.46). Our model confirmed that left ventricular hypertrophy can be classified to some extent using electrocardiography, demographics, and electrocardiography features. In particular, a learning environment that considered gender differences was constructed. Consequently, the difference in diagnostic power between men and women was confirmed. Our model will help patients with suspected left ventricular hypertrophy to undergo screening tests at a low cost. In addition, our research and attempts will show the expected effect that gender-consideration approaches can help with various currently proposed diagnostic methods.

Project description:PurposeTo determine whether left ventricular (LV) extracellular volume (ECV) expansion is associated with atrial fibrillation (AF) or AF-mediated LV systolic dysfunction (LVSD) while minimizing the influence of biologic and imaging methodologic confounders.Materials and methodsThis study examined the prevalence of LV ECV expansion in 137 patients with AF (mean age, 62 years ± 11 [standard deviation]; 92 male patients and 45 female patients; 83 paroxysmal and 54 persistent) who underwent preablation cardiovascular MRI. Biologic confounders were minimized by measuring the ECV fraction and excluding patients with severe LV hypertrophy, defined as wall thickness greater than 1.5 cm. Imaging confounders were minimized by using an arrhythmia-insensitive-rapid (AIR) cardiac T1 mapping pulse sequence. Other cardiac functional parameters, including LV ejection fraction (LVEF) and left atrial end-diastolic volume indexed to body surface area, were assessed using cine cardiovascular MRI. A substudy was conducted in 32 patients with no AF (mean age, 54 years ± 16) in sinus rhythm to establish control values and convert these values between the AIR sequence and literature-based modified Look-Locker inversion recovery (MOLLI) values.ResultsThe mean ECV was not significantly different (P > .05) between patients with AF with a normal LVEF (24.5% ± 2.8; n = 107), patients with AF with LVSD (24.5% ± 2.5; n = 30), and patients with no AF (24.4% ± 3.8; n = 32), but there was a significant interaction between ECV and CHA2DS2-VASc score (P = .045). Compared with the literature data obtained from healthy control patients scanned using MOLLI, 99.3% of patients with AF had ECV below the fibrosis cutoff point (32.8% when converted from MOLLI T1 mapping to AIR T1 mapping), including a subset of patients with AF (n = 28) with low CHA2DS2-VASc score (0/1 for men/women).ConclusionStudy results suggest that an LV ECV expansion is not associated with AF or AF-mediated LVSD. Supplemental material is available for this article. © RSNA, 2020See also the commentary by Stillman in this issue.

Project description:Background Cardiac biomarkers and left ventricular hypertrophy ( LVH ) are related to the risk of stroke and death in patients with atrial fibrillation. We investigated the interrelationship between LVH and cardiac biomarkers and their independent associations with outcomes. Methods and Results Plasma samples were obtained at baseline in 5275 patients with atrial fibrillation in the RE - LY (Randomized Evaluation of Long-Term Anticoagulation Therapy) trial. NT -proBNP (N-terminal pro-B-type natriuretic peptide), cardiac troponin I and T, and growth differentiation factor-15 were determined using high-sensitivity (hs) assays. LVH was defined by ECG . Cox models were adjusted for baseline characteristics, LVH , and biomarkers. LVH was present in 1257 patients. During a median follow-up of 2.0 years, 165 patients developed a stroke and 370 died. LVH was significantly ( P<0.0001) associated with higher levels of all biomarkers in linear regression analyses adjusting for baseline characteristics. Geometric mean ratios (95% CIs) were as follows: NT -pro BNP , 1.32 (1.25-1.38); hs cardiac troponin I, 1.67 (1.57-1.78); hs troponin T, 1.38 (1.32-1.44); and growth differentiation factor-15, 1.09 (1.05-1.12). For stroke, the hazard ratios (95% CIs) per 50% increase were as follows: NT -pro BNP, 1.09 (1.00-1.19); hs cardiac troponin I, 1.09 (1.03-1.15); hs troponin T, 1.14 (1.06-1.24); and growth differentiation factor-15, 1.22 (1.08-1.38) (all P<0.05). For death, hazard ratios (95% CIs) were as follows: NT -pro BNP , 1.24 (1.17-1.31); hs cardiac troponin I, 1.13 (1.10-1.17); hs troponin T, 1.28 (1.23-1.34); and growth differentiation factor-15, 1.31 (1.22-1.42) (all P<0.0001). LVH was not significantly associated with stroke or death after adjustment for biomarkers. Conclusions Cardiac biomarkers are significantly associated with LVH . The prognostic value of biomarkers for stroke and death is not affected by LVH . The prognostic information of LVH is attenuated in the presence of cardiac biomarkers. Clinical Trial Registration URL : http://www.clinicaltrials.gov . Unique identifier: NCT 00262600.

Dataset Information

Electrocardiography for diagnosis of left ventricular hypertrophy in hypertensive patients with atrial fibrillation.

Publications

Electrocardiography for diagnosis of left ventricular hypertrophy in hypertensive patients with atrial fibrillation.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets