Six-lead electrocardiography compared to single-lead electrocardiography and photoplethysmography of a wrist-worn device for atrial fibrillation detection controlled by premature atrial or ventricular contractions: six is smarter than one.

Background: Smartwatches are commonly capable to record a lead-I-like electrocardiogram (ECG) and perform a photoplethysmography (PPG)-based atrial fibrillation (AF) detection. Wearable technologies repeatedly face the challenge of frequent premature beats, particularly in target populations for screening of AF. Objective: To investigate the potential diagnostic benefit of six-lead ECG compared to single-lead ECG and PPG-based algorithm for AF detection of the wrist-worn device. Methods and results: From the database of DoubleCheck-AF 249 adults were enrolled in AF group (n = 121) or control group of SR with frequent premature ventricular (PVCs) or atrial (PACs) contractions (n = 128). Cardiac rhythm was monitored using a wrist-worn device capable of recording continuous PPG and simultaneous intermittent six-lead standard-limb-like ECG. To display a single-lead ECG, the six-lead ECGs were trimmed to lead-I-like ECGs. Two diagnosis-blinded cardiologists evaluated reference, six-lead and single-lead ECGs as "AF", "SR", or "Cannot be concluded". AF detection based on six-lead ECG, single-lead ECG, and PPG yielded a sensitivity of 99.2%, 95.7%, and 94.2%, respectively. The higher number of premature beats per minute was associated with false positive outcomes of single-lead ECG (18.80 vs. 5.40 beats/min, P < 0.01), six-lead ECG (64.3 vs. 5.8 beats/min, P = 0.018), and PPG-based detector (13.20 vs. 5.60 beats/min, P = 0.05). Single-lead ECG required 3.4 times fewer extrasystoles than six-lead ECG to result in a false positive outcome. In a control subgroup of PACs, the specificity of six-lead ECG, single-lead ECG, and PPG dropped to 95%, 83.8%, and 90%, respectively. The diagnostic value of single-lead ECG (AUC 0.898) was inferior to six-lead ECG (AUC 0.971) and PPG-based detector (AUC 0.921). In a control subgroup of PVCs, the specificity of six-lead ECG, single-lead ECG, and PPG was 100%, 96.4%, and 96.6%, respectively. The diagnostic value of single-lead ECG (AUC 0.961) was inferior to six-lead ECG (AUC 0.996) and non-inferior to PPG-based detector (AUC 0.954). Conclusions: A six-lead wearable-recorded ECG demonstrated the superior diagnostic value of AF detection compared to a single-lead ECG and PPG-based AF detection. The risk of type I error due to the widespread use of smartwatch-enabled single-lead ECGs in populations with frequent premature beats is significant.

High Specificity Wearable Device With Photoplethysmography and Six-Lead Electrocardiography for Atrial Fibrillation Detection Challenged by Frequent Premature Contractions: DoubleCheck-AF.

Background: Consumer smartwatches have gained attention as mobile health (mHealth) tools able to detect atrial fibrillation (AF) using photoplethysmography (PPG) or a short strip of electrocardiogram (ECG). PPG has limited accuracy due to the movement artifacts, whereas ECG cannot be used continuously, is usually displayed as a single-lead signal and is limited in asymptomatic cases. Objective: DoubleCheck-AF is a validation study of a wrist-worn device dedicated to providing both continuous PPG-based rhythm monitoring and instant 6-lead ECG with no wires. We evaluated its ability to differentiate between AF and sinus rhythm (SR) with particular emphasis on the challenge of frequent premature beats. Methods and Results: We performed a prospective, non-randomized study of 344 participants including 121 patients in AF. To challenge the specificity of the device two control groups were selected: 95 patients in stable SR and 128 patients in SR with frequent premature ventricular or atrial contractions (PVCs/PACs). All ECG tracings were labeled by two independent diagnosis-blinded cardiologists as "AF," "SR" or "Cannot be concluded." In case of disagreement, a third cardiologist was consulted. A simultaneously recorded ECG of Holter monitor served as a reference. It revealed a high burden of ectopy in the corresponding control group: 6.2 PVCs/PACs per minute, bigeminy/trigeminy episodes in 24.2% (31/128) and runs of ≥3 beats in 9.4% (12/128) of patients. AF detection with PPG-based algorithm, ECG of the wearable and combination of both yielded sensitivity and specificity of 94.2 and 96.9%; 99.2 and 99.1%; 94.2 and 99.6%, respectively. All seven false-positive PPG-based cases were from the frequent PVCs/PACs group compared to none from the stable SR group (P < 0.001). In the majority of these cases (6/7) cardiologists were able to correct the diagnosis to SR with the help of the ECG of the device (P = 0.012). Conclusions: This is the first wearable combining PPG-based AF detection algorithm for screening of AF together with an instant 6-lead ECG with no wires for manual rhythm confirmation. The system maintained high specificity despite a remarkable amount of frequent single or multiple premature contractions.

Severe dyslipidemia and concomitant risk factors in the middle-aged Lithuanian adults: a cross-sectional cohort study.

BACKGROUND: Dyslipidemia is highly prevalent and is one of the major risk factors for cardiovascular disease in Lithuania. The purpose of this study was to determine the prevalence of severe dyslipidemia in Lithuanian middle aged primary prevention population and to investigate cardiovascular risk profile. METHODS: The group of 83,376 people were examined in the Lithuanian High Cardiovascular Risk primary prevention program (LitHiR), during 2009-2015 years. This study recruited middle aged men and women without overt cardiovascular disease. The prevalence of cardiovascular risk factors was compared between severe dyslipidemia group and control group. RESULTS: Severe dyslipidemia was present in 13.5% (11265) of the subjects; 66.6% (7508) were females. The subjects with severe dyslipidemia had significantly higher rates of arterial hypertension (63.5% vs. 44.2%, p < 0.001), diabetes mellitus (16% vs. 8.1%, p < 0,001), abdominal obesity (51% vs. 30.3%, p < 0.001), body mass index (BMI) > 30 (kg/m2) (38.8% vs. 24.1%, p < 0.001), metabolic syndrome (47.2% vs. 9.2%, p < 0.001), unbalanced diet (66.5% vs. 53.5%, p < 0.001), insufficient physical activity (56% vs. 44.2%, p < 0.001), family history of cardiovascular disease (29.7% vs. 22.7%, p < 0.001) in comparison with control group. Subjects without dyslipidemia had significantly higher rates of smoking (26.4% vs. 22.7%, p < 0.001). The prevalence of familial hypercholesterolemia was 0.1%, very high hypertriglyceridemia - 0.2% and familial mixed dyslipidemia - 0.1% of the subjects examined in the LitHiR programme. CONCLUSIONS: High prevalence of dyslipidemia remains a major problem in Lithuania. 9 out of 10 people have dyslipidemia, 1 out of 10 - severe dyslipidemia. Severe dyslipidemia is associated with higher frequency of other cardiovascular risk factors.

Cardiorenal Determinants of Erectile Dysfunction in Primary Prevention: A Cross-Sectional Study.

OBJECTIVE: The aim of this study was to investigate the association between the severity of erectile dysfunction (ED), cardiovascular risk, and target organ damage (heart, renal, vascular) in men free of cardiovascular diseases (CVD). SUBJECTS AND METHODS: ED was assessed using the International Index of Erectile Function (IIEF-5). The study included 182 men: 100 with ED (IIEF mean score ≤21) and 82 without ED (IIEF mean score >21). Ultrasound was used to evaluate carotid plaques and left ventricular mass, geometry, and diastolic function. Cardiovascular anamnesis, CVD risk factors, and anthropometric and biochemical parameters were obtained. The European Society of Cardiology-Systematic Coronary Risk Evaluation Score (ESC-SCORE) was used to calculate total patient cardiovascular risk. Continuous variables between groups were compared using the Student t test and Mann-Whitney U test, while categorical data were compared using the χ2 test. Multiple linear regression was used to test the association between the severity of ED and presence of target organ damage. RESULTS: The following parameters were significantly higher in the ED group compared to the controls: family history of coronary heart disease (43.7 vs. 26.7%, p = 0.047), ESC-SCORE (2.27 ± 1.79 vs. 1.61 ± 1.13, p = 0.012), and waist circumference (109.28 ± 10.82 vs. 106.17 ± 10.07, p = 0.047). Impaired renal function (p = 0.081), albuminuria (p = 0.545), vascular damage (p = 0.602), and diastolic function (p = 0.724) were similar in both groups. However, left ventricular hypertrophy (LVH; odds ratio 2.231, 95% CI 1.069-4.655, p = 0.22) was more frequent in the ED group (29.9 vs. 16.0%). The multiple linear regression analysis revealed that LVH (ß = 1.761, p = 0.002) and impaired renal function assessed using the estimated glomerular filtration rate (<60 mL/min/1.73 m2; ß = 6.207, p = 0.0001) were the independent risk factors for severity of ED. CONCLUSION: This study showed that LVH and impaired renal function are associated with ED severity.