Risk calculator for incident atrial fibrillation across a range of prediction horizons.

BACKGROUND: The increasing burden of atrial fibrillation (AF) emphasizes the need to identify high-risk individuals for enrolment in clinical trials of AF screening and primary prevention. We aimed to develop prediction models to identify individuals at high-risk of AF across prediction horizons from 6-months to 10-years. METHODS: We used secondary-care linked primary care electronic health record data from individuals aged ≥30 years without known AF in the UK Clinical Practice Research Datalink-GOLD dataset between January 2, 1998 and November 30, 2018; randomly divided into derivation (80%) and validation (20%) datasets. Models were derived using logistic regression from known AF risk factors for incident AF in prediction periods of 6 months, 1-year, 2-years, 5-years, and 10-years. Performance was evaluated using in the validation dataset with bootstrap validation with 200 samples, and compared against the CHA2DS2-VASc and C2HEST scores. RESULTS: Of 2,081,139 individuals in the cohort (1,664,911 in the development dataset, 416,228 in the validation dataset), the mean age was 49.9 (SD 15.4), 50.7% were women, and 86.7% were white. New cases of AF were 7,386 (0.4%) within 6 months, 15,349 (0.7%) in 1 year, 38,487 (1.8%) in 5 years, and 79,997 (3.8%) by 10 years. Valvular heart disease and heart failure were the strongest predictors, and association of hypertension with AF increased at longer prediction horizons. The optimal risk models incorporated age, sex, ethnicity, and 8 comorbidities. The models demonstrated good-to-excellent discrimination and strong calibration across prediction horizons (AUROC, 95%CI, calibration slope: 6-months, 0.803, 0.789-0.821, 0.952; 1-year, 0.807, 0.794-0.819, 0.962; 2-years, 0.815, 0.807-0.823, 0.973; 5-years, 0.807, 0.803-0.812, 1.000; 10-years 0.780, 0.777-0.784, 1.010), and superior to the CHA2DS2-VASc and C2HEST scores. The models are available as a web-based FIND-AF calculator. CONCLUSIONS: The FIND-AF models demonstrate high discrimination and calibration across short- and long-term prediction horizons in 2 million individuals. Their utility to inform trial enrolment and clinical decisions for AF screening and primary prevention requires further study.

Amiodarone and pulmonary toxicity in atrial fibrillation: a nationwide Israeli study.

BACKGROUND AND AIMS: Amiodarone-related interstitial lung disease (ILD) is the most severe adverse effect of amiodarone treatment. Most data on amiodarone-related ILD are derived from periods when amiodarone was given at higher doses than currently used. METHODS: A nationwide population-based study was conducted among patients with incident atrial fibrillation (AF) between 1 December 1999 and 31 December 31 2021. Amiodarone-exposed patients were matched 1:1 with controls unexposed to amiodarone based on age, sex, ethnicity, and AF diagnosis duration. The final patient cohort included only matched pairs where amiodarone therapy was consistent throughout follow-up. Directed acyclic graphs and inverse probability treatment weighting (IPTW) modelling were used. Patients with either prior ILD or primary lung cancer (PLC) were excluded. The primary outcome was the incidence of any ILD. Secondary endpoints were death and PLC. RESULTS: The final cohort included 6039 amiodarone-exposed patients who were matched with unexposed controls. The median age was 73.3 years, and 51.6% were women. After a mean follow-up of 4.2 years, ILD occurred in 242 (2.0%) patients. After IPTW, amiodarone exposure was not significantly associated with ILD [hazard ratio (HR): 1.45, 95% confidence interval (CI): 0.97, 2.44, P = 0.09]. There was a trivial higher relative risk of ILD among amiodarone-exposed patients between Years 2 and 8 of follow-up [maximal risk ratio (RR): 1.019]. Primary lung cancer occurred in 97 (0.8%) patients. After IPTW, amiodarone was not associated with PLC (HR: 1.18, 95% CI: 0.76, 2.08, P = 0.53). All-cause death occurred in 2185 (18.1%) patients. After IPTW, amiodarone was associated with reduced mortality risk (HR: 0.65, 95% CI: 0.60, 0.72, P < 0.001). The results were consistent across a variety of sensitivity analyses. CONCLUSION: In a contemporary AF population, low-dose amiodarone was associated with a trend towards increased risk of ILD (15%-45%) but a clinically negligible change in absolute risk (maximum of 1.8%), no increased risk of PLC, and a lower risk of all-cause mortality.

Estimated glomerular filtration rate and the risk of stroke in individuals with diabetes mellitus and atrial fibrillation insight from a large contemporary population study.

BACKGROUND: Diabetes mellitus (DM) is associated with increased risk of embolic complications in non-valvular atrial fibrillation (NVAF). Impaired renal function (IRF) increases the risk of stroke as well, but this finding is not consistent among all studies. Our aim was to assess the incidence rates and risk of ischemic stroke and mortality by baseline Estimated Glomerular Filtration Rate (eGFR) levels Among individuals with AF and DM. METHODS: A prospective, historical cohort study using the Clalit Health Services electronic medical records database. Among patients with AF and DM, we compared three groups according to eGFR levels: eGFR ≥ 60, between 30 and 60, and ≤ 30 (mL/min/1.73m2). RESULTS: A total of 17,567 cases were included in the final analysis; of them, 11,013 (62.7%) had eGFR ≥ 60, 4930 (28%) had eGFR between 30 and 60, and 1624 (9.24%) with eGFR ≤ 30. The incidence of stroke per 100 person-years in the three study groups was: 1.88, 2.69, and 3.34, respectively (p < 0.001). IRF was associated with increased risk of stroke in univariate analysis, but not after multivariate adjustment (Adjusted Hazard Ratio (AHR) 0.96 {95%CI; 0.74-1.25} for eGFR 30-60 and 0.96 {95%CI; 0.60-1.55} for eGFR ≤ 30). Mortality per 100 person-years was 10.78, 21.49, and 41.55, respectively (p < 0.001). IRF was associated with increased mortality risk in univariate analysis, as well as in multivariate analysis (AHR 1.08 {95%CI; 0.98-1.18} for eGFR 30-60, and 1.59 {95%CI; 1.37-1.85} for eGFR ≤ 30. CONCLUSION: In patients with NVAF and DM, IRF was not associated with an increased risk of stroke, but severe IRF (eGFR ≤ 30) was associated with increased mortality risk.

Risk of atrial fibrillation and association with other diseases: protocol of the derivation and international external validation of a prediction model using nationwide population-based electronic health records.

INTRODUCTION: Atrial fibrillation (AF) is a major public health issue and there is rationale for the early diagnosis of AF before the first complication occurs. Previous AF screening research is limited by low yields of new cases and strokes prevented in the screened populations. For AF screening to be clinically and cost-effective, the efficiency of identification of newly diagnosed AF needs to be improved and the intervention offered may have to extend beyond oral anticoagulation for stroke prophylaxis. Previous prediction models for incident AF have been limited by their data sources and methodologies. METHODS AND ANALYSIS: We will investigate the application of random forest and multivariable logistic regression to predict incident AF within a 6-month prediction horizon, that is, a time-window consistent with conducting investigation for AF. The Clinical Practice Research Datalink (CPRD)-GOLD dataset will be used for derivation, and the Clalit Health Services (CHS) dataset will be used for international external geographical validation. Analyses will include metrics of prediction performance and clinical utility. We will create Kaplan-Meier plots for individuals identified as higher and lower predicted risk of AF and derive the cumulative incidence rate for non-AF cardio-renal-metabolic diseases and death over the longer term to establish how predicted AF risk is associated with a range of new non-AF disease states. ETHICS AND DISSEMINATION: Permission for CPRD-GOLD was obtained from CPRD (ref no: 19_076). The CPRD ethical approval committee approved the study. CHS Helsinki committee approval 21-0169 and data usage committee approval 901. The results will be submitted as a research paper for publication to a peer-reviewed journal and presented at peer-reviewed conferences. TRIAL REGISTRATION NUMBER: A systematic review to guide the overall project was registered on PROSPERO (registration number CRD42021245093). The study was registered on ClinicalTrials.gov (NCT05837364).

Compound Heterozygosity for Late-Onset Cardiomyopathy-Causative ALPK3 Coding Variant and Novel Intronic Variant Cause Infantile Hypertrophic Cardiomyopathy.

Hypertrophic and dilated cardiomyopathy (HCM, DCM) are leading causes of cardiovascular morbidity and mortality in children. The pseudokinase alpha-protein kinase 3 (ALPK3) plays an essential role in sarcomere organization and cardiomyocyte differentiation. ALPK3 coding mutations are causative of recessively inherited pediatric-onset DCM and HCM with variable expression of facial dysmorphism and skeletal abnormalities and implicated in dominantly inherited adult-onset cardiomyopathy. We now report two variants in ALPK3-a coding variant and a novel intronic variant affecting splicing. We demonstrate that compound heterozygosity for both variants is highly suggestive to be causative of infantile-onset HCM with webbed neck, and heterozygosity for the coding variant presents with adult-onset HCM. Our data validate partial penetrance of heterozygous loss-of-function ALPK3 mutations in late-onset hypertrophic cardiomyopathy and expand the genotypic spectrum of autosomal recessive ALPK3-related cardiac disease with Noonan-like features.

Sex differences in ventricular arrhythmia, atrial fibrillation and atrioventricular block complicating acute myocardial infarction.

Background: Acute myocardial infarction (AMI) complicated by tachyarrhythmias or high-grade atrioventricular block (HAVB) may lead to increased mortality. Purpose: To evaluate the sex differences in patients with AMI complicated by tachyarrhythmias and HAVB and their associated outcomes. Materials and methods: We analyzed the incidence rates of arrhythmias following AMI from the Acute Coronary Syndrome Israeli Survey database from 2000 to 2018. We assessed the differences in arrhythmias incidence and the associated mortality risk between men and women. Results: This cohort of 14,280 consecutive patients included 3,159 (22.1%) women and 11,121 (77.9%) men. Women were less likely to experience early ventricular tachyarrhythmia (VTA), (1.6% vs. 2.3%, p = 0.034), but had similar rates of late VTA (2.3% vs. 2.2%, p = 0.62). Women were more likely to experience atrial fibrillation (AF) (8.6% vs. 5.0%, p < 0.001) and HAVB (3.7% vs. 2.3%, p < 0.001). The risk of early VTAs was similar in men and women [adjusted Odds Ratio (aOR) = 0.76, p = 0.09], but women had a higher risk of AF (aOR = 1.27, p = 0.004) and HAVB (aOR = 1.30, p = 0.03). Early [adjusted hazard ratio (aHR) = 2.84, p < 0.001] and late VTA (aHR =- 4.59, p < 0.001), AF (aHR = 1.52, p < 0.001) and HAVB (aHR = 2.83, p < 0.001) were associated with increased 30-day mortality. Only late VTA (aHR = 2.14, p < 0.001) and AF (aHR = 1.44, p = 0.002) remained significant in the post 30 days period. Conclusions: During AMI women experienced more AF and HAVB but fewer early VTAs than men. Early and late VTAs, AF, and HAVB were associated with increased 30-day mortality. Only late VTA and AF were associated with increased post-30-day mortality.

Incident cardiovascular, renal, metabolic diseases and death in individuals identified for risk-guided atrial fibrillation screening: a nationwide cohort study.

OBJECTIVE: Risk-guided atrial fibrillation (AF) screening may be an opportunity to prevent adverse events in addition to stroke. We compared events rates for new diagnoses of cardio-renal-metabolic diseases and death in individuals identified at higher versus lower-predicted AF risk. METHODS: From the UK Clinical Practice Research Datalink-GOLD dataset, 2 January 1998-30 November 2018, we identified individuals aged ≥30 years without known AF. The risk of AF was estimated using the FIND-AF (Future Innovations in Novel Detection of Atrial Fibrillation) risk score. We calculated cumulative incidence rates and fit Fine and Gray's models at 1, 5 and 10 years for nine diseases and death adjusting for competing risks. RESULTS: Of 416 228 individuals in the cohort, 82 942 were identified as higher risk for AF. Higher-predicted risk, compared with lower-predicted risk, was associated with incident chronic kidney disease (cumulative incidence per 1000 persons at 10 years 245.2; HR 6.85, 95% CI 6.70 to 7.00; median time to event 5.44 years), heart failure (124.7; 12.54, 12.08 to 13.01; 4.06), diabetes mellitus (123.3; 2.05, 2.00 to 2.10; 3.45), stroke/transient ischaemic attack (118.9; 8.07, 7.80 to 8.34; 4.27), myocardial infarction (69.6; 5.02, 4.82 to 5.22; 4.32), peripheral vascular disease (44.6; 6.62, 6.28 to 6.98; 4.28), valvular heart disease (37.8; 6.49, 6.14 to 6.85; 4.54), aortic stenosis (18.7; 9.98, 9.16 to 10.87; 4.41) and death from any cause (273.9; 10.45, 10.23 to 10.68; 4.75). The higher-risk group constituted 74% of deaths from cardiovascular or cerebrovascular causes (8582 of 11 676). CONCLUSIONS: Individuals identified for risk-guided AF screening are at risk of new diseases across the cardio-renal-metabolic spectrum and death, and may benefit from interventions beyond ECG monitoring.

A case report of rapid diagnosis of atrial-oesophageal fistula by transthoracic echocardiogram with agitated saline injection.

Background: Catheter ablation is a common treatment for atrial fibrillation (AF). Atrial-oesophageal fistula (AOF) is a rare yet fatal complication of catheter ablation. Chest computed tomography (CT) is the diagnostic modality of choice but may be undiagnostic in up to 24% of cases. Case summary: We present the case of a 61-year-old male who presented with pleuritic chest pain, hypotension, fever, and coffee-ground emesis 20 days after cryoablation for AF. His chest CT was undiagnostic. Atrial-oesophageal fistula was diagnosed by injecting agitated saline into the nasogastric tube during a transthoracic echocardiogram (TTE) that showed bubbles in the left atrium and ventricle. Discussion: In the case presented, as often happens, the diagnosis of AOF was delayed for several days, during which the patient presented with septic shock and concomitant multiorgan failure. The high mortality rate associated with AOF is partially attributable to delayed diagnosis. As prompt surgical intervention offers the best chance of survival, a high level of suspicion is of the utmost importance. We suggest contrast-enhanced TTE as a potential diagnostic tool when a rapid and definitive diagnosis is crucial and CT is inconclusive. Since this procedure is not without risk, proper risk consideration and management are necessary.

Clinical Outcomes of Patients with COVID-19 Infection and Cardiac Implantable Electronic Devices.

BACKGROUND: Existing cardiac disease contributes to poor outcome in patients with coronavirus disease 2019 (COVID-19). Little information exists regarding COVID-19 infection in patients with a cardiac implantable electronic device (CIED). OBJECTIVES: To assess the association between CIEDs and severity of COVID-19 infection. METHODS: We performed a retrospective analysis including 13,000 patients > 18 years old with COVID-19 infection between January and December 2020. Patients with COVID-19 who had a permanent pacemaker or defibrillator were matched 1:4 based on age and sex followed by univariate and multivariate analyses. Baseline characteristics and clinical outcomes were assessed. RESULTS: Forty patients with CIED and 160 patients without CIED were included in the current analysis. Mean age was 72.6 ± 13 years, and approximately 50% were females. Majority of the patients in the study arm had a pacemaker (63%), whereas only 15 patients (37%) had a defibrillator. Patients with COVID-19 and CIED presented more often with atrial fibrillation, coronary artery disease, heart failure, hypertension, diabetes, and chronic kidney disease. They were more likely to be hospitalized in the intensive care unit (ICU) and required more ventilatory support (35% vs. 18.3%). Thirty-day mortality (22.5% vs. 13.8%) and 1-year mortality (25% vs. 15%) were higher among patients with COVID-19 and CIED. CONCLUSIONS: Patients with COVID-19 and CIED had a significantly higher prevalence of co-morbidities that were associated with increased mortality. Although, CIED by itself was not found as an independent risk factor for morbidity and mortality, it may serve as a warning for severe illness with COVID-19.

Prediction of short-term atrial fibrillation risk using primary care electronic health records.

OBJECTIVE: Atrial fibrillation (AF) screening by age achieves a low yield and misses younger individuals. We aimed to develop an algorithm in nationwide routinely collected primary care data to predict the risk of incident AF within 6 months (Future Innovations in Novel Detection of Atrial Fibrillation (FIND-AF)). METHODS: We used primary care electronic health record data from individuals aged ≥30 years without known AF in the UK Clinical Practice Research Datalink-GOLD dataset between 2 January 1998 and 30 November 2018, randomly divided into training (80%) and testing (20%) datasets. We trained a random forest classifier using age, sex, ethnicity and comorbidities. Prediction performance was evaluated in the testing dataset with internal bootstrap validation with 200 samples, and compared against the CHA2DS2-VASc (Congestive heart failure, Hypertension, Age >75 (2 points), Stroke/transient ischaemic attack/thromboembolism (2 points), Vascular disease, Age 65-74, Sex category) and C2HEST (Coronary artery disease/Chronic obstructive pulmonary disease (1 point each), Hypertension, Elderly (age ≥75, 2 points), Systolic heart failure, Thyroid disease (hyperthyroidism)) scores. Cox proportional hazard models with competing risk of death were fit for incident longer-term AF between higher and lower FIND-AF-predicted risk. RESULTS: Of 2 081 139 individuals in the cohort, 7386 developed AF within 6 months. FIND-AF could be applied to all records. In the testing dataset (n=416 228), discrimination performance was strongest for FIND-AF (area under the receiver operating characteristic curve 0.824, 95% CI 0.814 to 0.834) compared with CHA2DS2-VASc (0.784, 0.773 to 0.794) and C2HEST (0.757, 0.744 to 0.770), and robust by sex and ethnic group. The higher predicted risk cohort, compared with lower predicted risk, had a 20-fold higher 6-month incidence rate for AF and higher long-term hazard for AF (HR 8.75, 95% CI 8.44 to 9.06). CONCLUSIONS: FIND-AF, a machine learning algorithm applicable at scale in routinely collected primary care data, identifies people at higher risk of short-term AF.

[RECOMMENDATIONS FOR CHANGING CARDIOVASCULAR SCREENING OF ATHLETES WHO ARE REQUIRED FOR PRE-PARTICIPATION SCREENING UNDER THE SPORTS LAW - A POSITION PAPER ON BEHALF OF THE ISRAEL HEART SOCIETY].

INTRODUCTION: For many years routine screening of athletes in Israel includes frequently performed ECGs and exercise tests that overload the system with questionable benefits. The purpose of the current document is to reevaluate the need for pre-participation testing and establish new evidence-based guidelines. It should be noted that our proposal for a change of approach relates only to subjects whose health questionnaire is normal, who do not have a family history of sudden and unexpected death at an early age, or a family history of hereditary heart disease and whose physical examination from a cardiovascular point of view is normal.

Relation of Hemoglobin A1C Levels to Risk of Ischemic Stroke and Mortality in Patients With Diabetes Mellitus and Atrial Fibrillation.

Diabetes mellitus (DM) is associated with an increased risk of complications in atrial fibrillation (AF). This study aimed to assess the incidence and risks of ischemic stroke and mortality according to baseline HbA1c levels in patients with DM and AF. We conducted a cohort study using Clalit Health Services electronic medical records. The study population included all Clalit Health Services members aged ≥25 years, with the first diagnosis of AF between January 1, 2010, and December 31, 2016, who had a diagnosis of DM. The risk of stroke and all-cause death were compared according to HbA1c levels at the time of AF diagnosis: <7.0%, between 7% and 9%, and ≥9%. A total of 44,451 patients with DM and AF were identified. The median age was 75 years (interquartile 65 to 83), and 52.5% were women. During a mean follow-up of 38 months, higher levels of HbA1c were associated with an increased risk of stroke with a dose-dependent response when compared with patients with HbA1c <7% (Adjusted hazard ratio [aHR] =1.30 [95% confidence interval 1.10 to 2.05] for levels between 7% and 9% and 1.60 (95% confidence interval 1.25 to 2.03) for HbA1c >9%, even after adjusting for CHA2DS2-Vasc risk factors and use of oral anticoagulants. The risk for overall mortality was significantly higher in the HBA1C >9% group (aHR = 1.17 [1.07 to 1.28]). In conclusion, in this cohort of patients with AF and DM, HbA1c levels were associated with the risk of stroke in a dose-dependent manner even after accounting for other recognized risk factors for stroke.

Radial strain imaging-guided lead placement for improving response to cardiac resynchronization therapy in patients with ischaemic cardiomyopathy: the Raise CRT trial.

AIMS: To evaluate the benefit of speckle tracking radial strain imaging (STRSI)-guided left ventricular (LV) lead (LVL) positioning in cardiac resynchronization therapy (CRT) in patients (pts) with ischaemic cardiomyopathy with CRT indication. METHODS AND RESULTS: We conducted a prospective randomized controlled trial. Patients were enrolled in nine centres with 2:1 randomization into two groups (guided vs. control). Patients underwent STRSI to identify the optimal LV position from six LV segments at midventricular level. Implantation via STRSI was attempted for recommended segment in the guided group only. Follow-up included echocardiography (6 months) and clinical evaluation (6 and 12 months). The primary endpoint was comparison % reduction in LV end-systolic volume at 6 months with baseline. Secondary endpoints included hospitalizations for heart failure and death, and improvement in additional echocardiographic measurements and quality of life score. A total of 172 patients (115 guided vs. 57 control) were enrolled. In the guided group, 60% of the implanted LV leads were adjudicated to be successfully located at the recommended segment, whereas in the control group 44% reached the best STRSI determined segment. There was no difference between the groups in any of the primary or secondary endpoints at 6 and 12 months. CONCLUSION: Our findings suggest that echo-guided implantation of an LV lead using STRSI does not improve the clinical or echocardiographic response compared with conventional implantation.

Identifying patients with atrial fibrillation with a single CHA2DS2-VASC risk factor who are at higher risk of stroke.

AIMS: Management of patients with a single CHA2DS2-VASc score risk factor is controversial. We attempt to identify the "truly low risk" AF patients who will not benefit from oral anticoagulation (OAC) treatment. METHODS: Retrospective cohort analysis, all incident non-valvular AF (NVAF) cases between 2004 and 2015, and age 21 and older, with up to one thromboembolic risk factor besides sex (CHA2DS2-VASc score of up to 1 for men and up to 2 for women). A "low risk" score was created for these patients using a logistic regression model on the incidence of stroke within 30-2500 days following the NVAF diagnosis. RESULTS: We identified 15,621 patients. Average age was 53.7 ± 12.3 years, 56.6% male. Mean follow-up was 5.5 years. Significant predictors of ischemic stroke were age 65-74 and diabetes (2 points each), hypertension, vascular disease, and chronic kidney disease stage 2-3 (1 point each). Stroke incidence ranged from 0.8% for score 0 and up to 3.4% for scores ≤ 2. Odds ratio for stroke among patient group with a score ≤ 2 was 4.3 (2.9-6.6) compared with score 0. Our risk score's area-under-the-curve (AUC) for prediction of stroke was 0.68 (0.65-0.71), compared with 0.60 (0.57-0.62) for the CHAD2S2-VASc score, within this low-risk group. CONCLUSION: Patients considered at low or intermediate risk using traditional risk stratification schemes, with ≥ 2 points using this proposed low-risk index (65-74 years old, diabetics or a combination of chronic renal failure and an additional risk factor), had an overall stroke risk that may justify anticoagulation therapy.

A case report of a young patient with both Brugada and long QT3 syndrome: between the hammer and the anvil.

BACKGROUND: Brugada syndrome (BrS) is an inherited disorder associated with increased risk of ventricular arrhythmias and sudden cardiac death. The most common genetic alteration is a loss of function mutation of SCN5A gene. Several mutations in SCN5A gene were found to be associated with an overlap phenotype of both BrS and long QT3 (LQT3) syndrome. CASE SUMMARY: We report of a 29-year-old man with familial LQT3 syndrome that was diagnosed at age 6 during evaluation of syncope. He has been treated for several years with Flecainide. Now presented with recurrent episodes of syncope. Electrocardiogram (ECG) upon admission was notable for Brugada type 1 pattern that was attenuated after Flecainide was discontinued. Genetic analysis revealed SCN5A 1790D>G mutation that is associated with overlap of LQT3 and BrS. Due to recurrent syncope and difficult management of both LQT3 and BrS, an implantable cardioverter-defibrillator was implanted together with beta-blockers treatment. The patient was discharged home with no evidence of Brugada type 1 pattern on his ECG. He had no further syncope or arrhythmias during 6 months of follow-up. DISCUSSION: There are few reports describing the phenotypic overlap between LQT3 and BrS. Despite the confirmed genetic link between both syndromes, their management strategy is controversial. In particularly, the treatment with sodium channel blockers for LQT3 syndrome may increase the risk for arrhythmias in patients with coexisting BrS. The present case demonstrates the link between LQT3 and BrS and the difficult dilemma in the management of these patients.

Pre-Diabetes Increases Stroke Risk in Patients With Nonvalvular Atrial Fibrillation.

BACKGROUND: Diabetes mellitus (DM) increases the risk of embolism in nonvalvular atrial fibrillation (NVAF). The association between pre-diabetes and risk of ischemic stroke has not been studied separately in this population. OBJECTIVES: The purpose of this study was to evaluate whether pre-diabetes is associated with increased risk of stroke and death in patients with NVAF. METHODS: We conducted a historical cohort study using the Clalit Health Services electronic medical records. The study population included all members aged ≥25 years, with a first diagnosis of NVAF between January 1, 2010, and December 31, 2016. We compared 3 groups of individuals: those with pre-diabetes, those with diabetes, and normoglycemic patients. RESULTS: A total of 44,451 cases were identified. The median age was 75 years, and 52.5% were women. During a mean follow-up of 38 months, the incidence rates of stroke (per 100 person-years) were: 1.14 in normoglycemic individuals, 1.40 in those with pre-diabetes, and 2.15 in those with diabetes. In both univariate and multivariate analyses, pre-diabetes was associated with an increased risk of stroke compared with normoglycemic persons (adjusted hazard ratio [adjHR]: 1.19; 95% confidence interval [CI]: 1.01 to 1.4) even after adjustment for CHA2DS2-Vasc risk factors and use of anticoagulants, while diabetes conferred an even higher risk (vs. normoglycemia (adjHR: 1.56; 95% CI: 1.37 to 1.79). The risk for mortality was higher for individuals with diabetes (adjHR: 1.47; 95% CI: 1.41 to 1.54) but not for those with pre-diabetes (adjHR: 0.98; 95% CI: 0.92 to 1.03). CONCLUSIONS: In this cohort of patients with incident NVAF, pre-diabetes was associated with an increased risk of stroke even after accounting for other recognized risk factors.

Incidence and Clinical Outcomes of Pacing Induced Cardiomyopathy in Patients With Normal Left Ventricular Systolic Function and Atrioventricular Block.

Patients with preserved left ventricular (LV) ejection function (EF) and atrioventricular block (AVB) who are anticipated for high-burden of right ventricular (RV) pacing possess a risk to develop pacing-induced cardiomyopathy (PIC) and adverse clinical outcomes. Hence, the aim of the study is to evaluate the incidence, predictors, and clinical outcomes of RV PIC in patients with preserved LVEF, AVB, and high-burden of RV pacing. One thousand and thirteen patients with second or third-degree AVB underwent first time pacemaker implantation between January 2002 and August 2016. A total of 203 patients with a newly implanted pacemaker, normal baseline LVEF, and high burden of RV pacing were included in the present study. Follow-up echocardiography was examined for a new decrease in LVEF of 10% or higher. Alternative causes for cardiomyopathy were ruled out. Patient characteristics, echocardiographic measurements, device clinic data, mortality, and hospitalizations for heart failure were collected and compared between the PIC and the non-PIC groups. Fifty-one patients (25%) developed LV dysfunction with 22 patients (11%), showing LVEF < 40%. During a mean follow-up of 49.2 months, the risk of heart failure hospitalization or all-cause mortality was significantly higher in the PIC group versus non-PIC group (35.3% vs 19.1%, p = 0.009). In conclusion the incidence of PIC in patients with normal LVEF and AVB, who are anticipated for high-burden of RV pacing is high. PIC in patients with a previously normal LV function is associated with unfavorable long-term clinical outcomes, including higher rates of heart failure hospitalizations and all-cause mortality.