Smartphone and wearable detected atrial arrhythmias in Older Adults: Results of a fully digital European Case finding study.

Aims: Simplified detection of atrial arrhythmias via consumer-electronics would enable earlier therapy in at-risk populations. Whether this is feasible and effective in older populations is not known. Methods and results: The fully remote, investigator-initiated Smartphone and wearable detected atrial arrhythmia in Older Adults Case finding study (Smart in OAC-AFNET 9) digitally enrolled participants ≥65 years without known atrial fibrillation, not receiving oral anticoagulation in Germany, Poland, and Spain for 8 weeks. Participants were invited by media communications and direct contacts. Study procedures adhered to European data protection. Consenting participants received a wristband with a photoplethysmography sensor to be coupled to their smartphone. The primary outcome was the detection of atrial arrhythmias lasting 6 min or longer in the first 4 weeks of monitoring. Eight hundred and eighty-two older persons (age 71 ± 5 years, range 65-90, 500 (57%) women, 414 (47%) hypertension, and 97 (11%) diabetes) recorded signals. Most participants (72%) responded to adverts or word of mouth, leaflets (11%) or general practitioners (9%). Participation was completely remote in 469/882 persons (53%). During the first 4 weeks, participants transmitted PPG signals for 533/696 h (77% of the maximum possible time). Atrial arrhythmias were detected in 44 participants (5%) within 28 days, and in 53 (6%) within 8 weeks. Detection was highest in the first monitoring week [incidence rates: 1st week: 3.4% (95% confidence interval 2.4-4.9); 2nd-4th week: 0.55% (0.33-0.93)]. Conclusion: Remote, digitally supported consumer-electronics-based screening is feasible in older European adults and identifies atrial arrhythmias in 5% of participants within 4 weeks of monitoring (NCT04579159).

Cardiac Imaging After Ischemic Stroke or Transient Ischemic Attack.

PURPOSE OF REVIEW: Cardiac imaging after ischemic stroke or transient ischemic attack (TIA) is used to identify potential sources of cardioembolism, to classify stroke etiology leading to changes in secondary stroke prevention, and to detect frequent comorbidities. This article summarizes the latest research on this topic and provides an approach to clinical practice to use cardiac imaging after stroke. RECENT FINDINGS: Echocardiography remains the primary imaging method for cardiac work-up after stroke. Recent echocardiography studies further demonstrated promising results regarding the prediction of non-permanent atrial fibrillation after ischemic stroke. Cardiac magnetic resonance imaging and computed tomography have been tested for their diagnostic value, in particular in patients with cryptogenic stroke, and can be considered as second line methods, providing complementary information in selected stroke patients. Cardiac imaging after ischemic stroke or TIA reveals a potential causal condition in a subset of patients. Whether systematic application of cardiac imaging improves outcome after stroke remains to be established.

Cardiac imaging after ischemic stroke : Echocardiography, CT, or MRI?

About 20-25% of all ischemic strokes are of cardioembolic etiology, with atrial fibrillation and heart failure as the most common underlying pathologies. Diagnostic work-up by noninvasive cardiac imaging is essential since it may lead to changes in therapy, e.g., in-but not exclusively-secondary stroke prevention. Echocardiography remains the cornerstone of cardiac imaging after ischemic stroke, with the combination of transthoracic and transesophageal echocardiography as gold standard thanks to their high sensitivity for many common pathologies. Transesophageal echocardiography should be considered as the initial diagnostic tool when a cardioembolic source of stroke is suspected. However, to date, there is no proven benefit of transesophageal echocardiography-related therapy changes on the main outcomes after ischemic stroke. Based on the currently available data, cardiac computed tomography and magnetic resonance imaging should be regarded as complementary methods to echocardiography, providing additional information in specific situations; however, they cannot be recommended as first-line modalities.

Homocysteine concentration in coronary artery disease: Influence of three common single nucleotide polymorphisms.

BACKGROUND AND AIMS: Whether single nucleotide polymorphisms (SNPs) of homocysteine metabolism enzymes influence the rate of cardiovascular (CV) events in coronary artery disease (CAD) patients remains controversial. METHODS AND RESULTS: In this analysis, 1126 subjects from the AtheroGene study with CAD and 332 control subjects without known CAD were included. The following SNPs were investigated: methylentetrahydrofolate reductase (MTHFR-C667T), methionin synthetase (MS-D919G), and cystathionin beta synthetase (CBS-I278T). The endpoint was the combination of cardiovascular death, stroke, and non-fatal myocardial infarction (N = 286). The median follow-up time was 6.4 years. Kaplan-Meier curve analysis showed an increasing event rate with rising homocysteine levels (p < 0.001) in CAD patients. Further, in Cox-Regression analysis homocysteine was a predictor of the endpoint with a hazard ratio (HR) of 6.5 (95% CI: 2.9-14.6, p < 0.001) in the adjusted model including cardiovascular risk factors. Of the three SNPs, homozygous MTHFR SNP increased homocysteine levels significantly in patients with CAD and individuals without CAD (both p < 0.001). The SNPs in MS and CBS were not related to relevant changes in homocysteine levels in CAD patients or controls. The different SNPs of MTHFR, MS, and CBS were not related to an increased event rate. CONCLUSION: Homocysteine level is a strong predictor of CV events. Subjects with and without CAD and SNPs in the enzyme MTHFR had increased homocysteine levels. This was not observed for MS and CBS SNPs. Although MTHFR SNPs alter homocysteine levels in patients and controls, these polymorphisms had no impact on prognosis in CAD patients.

The predictive value of different equations for estimation of glomerular filtration rate in patients with coronary artery disease - Results from the AtheroGene study.

BACKGROUND: Impaired renal function leads to dramatically increased risk for the development and progression of coronary artery disease (CAD). Therefore we aimed to assess the predictive value of different equations for estimated glomerular filtration rate (eGFR) in CAD-patients. METHODS: From the AtheroGene study 2135 patients were included. eGFR was calculated using the 4-variable Modification of Diet in Renal Disease (4MDRD) equation for serum creatinine (sCr), the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation for sCr and cystatin C (CysC) each alone, and in combination (CysC/sCr). eGFR was assessed regarding the combined outcome of cardiovascular death and non-fatal myocardial infarction and regarding complex CAD represented by a SYNTAX score ≥23. Median follow-up was 4.3years. RESULTS: Only the CKD-EPI equation using CysC could differentiate between eGFR >90ml/min/1.73m(2) vs. eGFR 60-90ml/min/1.73m(2) according to the occurrence of an endpoint event (log-rank test p=0.009). In the Cox regression analysis only eGFR calculated by CKD-EPI equation for CysC (Hazard ratio per 1 standard deviation (HR) 1.27 (95% CI 1.07-1.50); p=0.007) and for CysC/sCr (HR 1.22 (95% CI 1.02-1.46); p=0.026) were predictive regarding the outcome after adjustment for cardiovascular risk factors and Nt-proBNP. Furthermore, only eGFR calculated by CKD-EPI equation for CysC (odds ratio (OR) 1.57 (95% CI 1.36-1.78); p<0.001) and for CysC/sCr (OR 1.32 (95% CI 1.13-1.53); p<0.001) were significantly associated with a SYNTAX score ≥23. CONCLUSION: In patients with CAD the CKD-EPI equation for CysC and for CysC/sCr provided the best predictive value regarding the prognosis and the severity of CAD.

[Prevalence and risk factors of atrial fibrillation in Germany : data from the Gutenberg Health Study]. / Prävalenz und Risikofaktoren von Vorhofflimmern in Deutschland : Daten aus der Gutenberg Health Study.

Atrial fibrillation (AF) is a disease with increasing clinical and public health importance. We describe the prevalence of AF, the current distribution of AF risk factors and their importance in a general population. The distribution of AF risk factors and the medicinal treatment were determined among 10,000 individuals in the population-based Gutenberg Health Study (median age 56 years and 49% women). Individuals with AF (n=309, 3.1%) had a higher median age (67 years) and significantly more risk factors. A large percentage of individuals with AF were taking antithrombotic medication (84% with a CHAD2DS2-VASc score of ≥3). Multiple logistic regression analysis showed that male gender (odds ratio, OR 2.07, 95% CI: 1.59-2.71), age (OR 1.09, 95% CI: 1.07-1.11), body mass index (OR 1.04, 95% CI: 1.02-1.07), prevalent cardiovascular disease (OR 3.06, 95% CI: 2.26-4.11) and heart failure (OR 3.11, 95% CI: 1.92-4.97) were the strongest predictors of AF. The full model explained 18% (Nagelkerke's determination coefficient R(2)) of the variation in AF prevalence. The addition of echocardiographic variables in a subgroup analysis with 5.000 participants increased the explained variation to 23%. AF is a common disease in the general population. Important risk factors for AF, apart from age and male gender, were cardiovascular disease, in particular heart failure, hypertension and increased body mass index. Awareness for AF in the population and medical community needs to be improved.

[Diagnosis of acute coronary syndrome]. / Diagnose des akuten Koronarsyndroms.

The acute coronary syndrome (ACS) is one of the most frequent differential diagnoses in emergency medicine. The causal mechanism of the ACS most often is an atherosclerotic plaque rupture. The differential diagnosis of ACS is guided by the clinical symptom of chest discomfort. The diagnosis is based on the electrocardiographic, biomarker and imaging findings before targeted therapy can be initiated. Over the last years we have witnessed breakthroughs in imaging techniques and the application of biomarkers such as highly sensitive or ultrasensitive cardiac troponin assays. They permit an early and sensitive diagnosis of ACS. Furthermore, they exhibit a high negative predictive value for a safe rule-out. Trained personnel and optimized structures in chest pain units constitute optimal conditions for a guideline conform therapy of patients with ACS. The number of certified chest pain units in Germany has constantly been increasing.

Mid-term prognostic value of coronary artery disease in patients undergoing transcatheter aortic valve implantation: a meta-analysis of adjusted observational results.

AIMS: Coronary artery disease (CAD) negatively affects prognosis in patients undergoing surgical aortic valve replacement, being currently evaluated in the most common used risk score. Our meta-analysis aims to clarify the prognostic role of CAD on mid-term survival in patients undergoing TAVI. METHODS AND RESULTS: Studies reporting multivariate predictors of adverse outcomes in patients undergoing TAVI were systematically searched for and pooled, when appropriate, using a random-effect method. 960 citations were first screened and finally 7 studies (2472 patients) were included. Diagnosis of CAD was reported in 52%(42-65) of patients and 1169 Edwards SAPIEN and 1303 CoreValve prostheses were implanted. After a median follow up of 452 days (357-585) 24% of patients (19-33) died, and 23 (14-32) for cardiovascular death. At pooled analysis of multivariate approach, diagnosis of coronary artery disease did not increase risk of death (OR 1.0, 95% CI, confidence interval, 0.67-1.50 I(2) 0%). CONCLUSION: CAD does not affect mid-term TAVI outcome: this finding should be weighted to accurately evaluate risk and strategies for patients with severe aortic stenosis.

Common genetic variation near the connexin-43 gene is associated with resting heart rate in African Americans: a genome-wide association study of 13,372 participants.

BACKGROUND: Genome-wide association studies have identified several genetic loci associated with variation in resting heart rate in European and Asian populations. No study has evaluated genetic variants associated with heart rate in African Americans. OBJECTIVE: To identify novel genetic variants associated with resting heart rate in African Americans. METHODS: Ten cohort studies participating in the Candidate-gene Association Resource and Continental Origins and Genetic Epidemiology Network consortia performed genome-wide genotyping of single nucleotide polymorphisms (SNPs) and imputed 2,954,965 SNPs using HapMap YRI and CEU panels in 13,372 participants of African ancestry. Each study measured the RR interval (ms) from 10-second resting 12-lead electrocardiograms and estimated RR-SNP associations using covariate-adjusted linear regression. Random-effects meta-analysis was used to combine cohort-specific measures of association and identify genome-wide significant loci (P≤2.5×10(-8)). RESULTS: Fourteen SNPs on chromosome 6q22 exceeded the genome-wide significance threshold. The most significant association was for rs9320841 (+13 ms per minor allele; P = 4.98×10(-15)). This SNP was approximately 350 kb downstream of GJA1, a locus previously identified as harboring SNPs associated with heart rate in Europeans. Adjustment for rs9320841 also attenuated the association between the remaining 13 SNPs in this region and heart rate. In addition, SNPs in MYH6, which have been identified in European genome-wide association study, were associated with similar changes in the resting heart rate as this population of African Americans. CONCLUSIONS: An intergenic region downstream of GJA1 (the gene encoding connexin 43, the major protein of the human myocardial gap junction) and an intragenic region within MYH6 are associated with variation in resting heart rate in African Americans as well as in populations of European and Asian origin.

Type D personality as a cardiovascular risk marker in the general population: results from the Gutenberg health study.

BACKGROUND: Type D personality is considered as an independent risk factor for morbidity and mortality in cardiovascular patients and a vulnerability factor for distress in the general population. Because representative community studies are rare, we sought to determine the prevalence of type D personality and its relationship with demographic characteristics, different features of mental disorders, cardiovascular risk factors, health behavior, endothelial function and cardiovascular biomarkers in the general population. METHODS: The prevalence of type D personality and its correlates were analyzed cross-sectionally in a population-based sample of 5,000 Mid-Europeans aged 35-74 years from the Gutenberg Health Study. RESULTS: The prevalence of type D personality was 22.2% without remarkable differences in sex distribution. Type D subjects were characterized by lower socioeconomic status, lack of a partnership, increased depression, anxiety, depersonalization and health care utilization. Despite its strong association with mental disorders, type D personality emerged as psychometrically distinct. Although type D personality was independently associated with coronary heart disease (OR = 1.54, p = 0.044), no associations with traditional cardiovascular risk factors were found independently from depression or anxiety. CONCLUSIONS: Although type D personality is strongly associated with depression, anxiety, impaired mental and somatic health status, and increased health care utilization, the type D construct seems to comprise dysfunctional personality patterns not covered by depression and anxiety scales. Beyond these associations, the pathways of the cardiotoxic impact of type D personality remain to be elucidated. There is a need for prospective population studies on potential links between type D personality and cardiac disease.