scholarly journals Epidemiology of cardiomyopathies and incident heart failure in a population-based cohort study

Heart ◽  
2021 ◽  
pp. heartjnl-2021-320181
Author(s):  
Jack RW Brownrigg ◽  
Vincenzo Leo ◽  
Joel Rose ◽  
Eric Low ◽  
Sarah Richards ◽  
...  
Keyword(s):  
Heart Failure ◽  
Arrhythmogenic Right Ventricular Cardiomyopathy ◽  
Restrictive Cardiomyopathy ◽  
Population Based ◽  
Ventricular Cardiomyopathy ◽  
Health Records ◽  
The Past ◽  
Population Prevalence ◽  
History Of ◽  
Incident Heart Failure

AimsThe population prevalence of cardiomyopathies and the natural history of symptomatic heart failure (HF) and arrhythmia across cardiomyopathy phenotypes is poorly understood. Study aims were to estimate the population-diagnosed prevalence of cardiomyopathies and describe the temporal relationship between a diagnosis of cardiomyopathy with HF and arrhythmia.MethodsPeople with cardiomyopathy (n=4116) were identified from linked electronic health records (~9 million individuals; 2000–2018) and categorised into hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM), arrhythmogenic right ventricular cardiomyopathy (ARVC), restrictive cardiomyopathy (RCM) and cardiac amyloidosis (CA). Cardiomyopathy point prevalence, rates of symptomatic HF and arrhythmia and timing relative to a diagnosis of cardiomyopathy were determined.ResultsIn 2018, DCM was the most common cardiomyopathy. DCM and HCM were twice as common among men, with the reverse trend for ARVC. Between 2010 and 2018, prevalence increased for ARVC by 180% and HCM by 9%. At diagnosis, more patients with CA (66%), DCM (56%) and RCM (62%) had pre-existing HF compared with ARVC (29%) and HCM (27%). Among those free of HF at diagnosis of cardiomyopathy, annualised HF incidence was greatest in CA and DCM. Diagnoses of all cardiomyopathies clustered around the time of HF onset.ConclusionsThe recorded prevalence of all cardiomyopathies increased over the past decade. Recognition of CA is generally preceded by HF, whereas individuals with ARVC or HCM more often developed HF after their cardiomyopathy diagnosis suggesting a more indolent course or better asymptomatic recognition. The clustering of HF and cardiomyopathy diagnoses suggests opportunities for presymptomatic or earlier diagnosis.

scholarly journals Risk factors for incident heart failure in age‐ and sex‐specific strata: a population‐based cohort using linked electronic health records

2019 ◽  
Vol 21 (10) ◽  
pp. 1197-1206 ◽  
Author(s):  
Alicia Uijl ◽  
Stefan Koudstaal ◽  
Kenan Direk ◽  
Spiros Denaxas ◽  
Rolf H. H. Groenwold ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Electronic Health Records ◽  
Population Based ◽  
Health Records ◽  
Incident Heart Failure ◽  
Electronic Health ◽  
Age And Sex

Abstract P033: Alcohol and Incident Heart Failure among the Cohort of Swedish Men

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Kirsten S Dorans ◽  
Elizabeth Mostofsky ◽  
Emily B Levitan ◽  
Niclas Håkansson ◽  
Alicja Wolk ◽  
...  
Keyword(s):  
Heart Failure ◽  
Alcohol Intake ◽  
Missing Values ◽  
Proportional Hazards ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Alcoholic Beverages ◽  
History Of ◽  
Incident Heart Failure ◽  
Incident Cases

Background: The relationship between alcohol intake and incident heart failure (HF) is complex. Compared with no alcohol consumption, heavy alcohol intake is associated with higher HF risk whereas light or moderate consumption may be associated with lower risk. Methods: We analyzed 34,581 men 45-79 years old with no history of HF, diabetes mellitus or myocardial infarction (MI) who were participants in the population-based Cohort of Swedish Men study. We excluded former drinkers. At baseline, participants reported how frequently they consumed specific alcoholic beverages in the past year and other characteristics. HF was defined as hospitalization for or death from HF (primary diagnosis), ascertained by Swedish inpatient and cause-of-death records from January 1, 1998 to December 31, 2011. Due to missing values for two covariates, we used Markov chain Monte Carlo multiple imputation to simulate 5 complete datasets. We used Cox proportional hazards models to estimate rate ratios and 95% confidence intervals, adjusting for age, total energy intake, education, body mass index, physical activity, a dietary component score, cigarette smoking, marital status, family history of MI before age 60, history of hypertension and history of high cholesterol. Results: At baseline, mean age was 58.6 years. There were 1592 incident cases of HF over the follow-up period. Compared with never drinkers, the multivariable-adjusted rate of HF was 19% lower among men who drank <1 drink per week (rate ratio: 0.81, 95% confidence interval: 0.64, 1.04%). The multivariable-adjusted HF rate was similar among men who drank <1 drink per week and men who drank ≥1 drink per week. Conclusions: Light-to-moderate drinking is associated with lower rate of HF compared with never drinking, but the association was not statistically significant.

scholarly journals Bioimpedance and new onset heart failure: A longitudinal study of ~500,000 individuals from the general population

2017 ◽  
Author(s):  
Daniel Lindholm ◽  
Eri Fukaya ◽  
Nicholas J. Leeper ◽  
Erik Ingelsson
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Myocardial Infarction ◽  
Heart Failure ◽  
Cohort Study ◽  
Population Based ◽  
Heart Failure Hospitalization ◽  
Predictive Capacity ◽  
History Of ◽  
Incident Heart Failure

AbstractImportanceHeart failure constitutes a high burden on patients and society, but although lifetime risk is high, it is difficult to predict without costly or invasive testing. Knowledge about novel risk factors could enable early diagnosis and possibly preemptive treatment.ObjectiveTo establish new risk factors for heart failure.DesignWe applied supervised machine learning in UK Biobank in an agnostic search of risk factors for heart failure. Novel predictors were then subjected to several in-depth analyses, including multivariable Cox models of incident heart failure, and assessment of discrimination and calibration.SettingPopulation-based cohort study.Participants500,451 individuals who volunteered to participate in the UK Biobank cohort study, excluding those with prevalent heart failure.Exposure3646 variables reflecting different aspects of lifestyle, health and disease-related factors.Main OutcomeIncident heart failure hospitalization.ResultsMachine learning confirmed many known and putative risk factors for heart failure, and identified several novel candidates. Mean reticulocyte volume appeared as one novel factor, and leg bioimpedance another; the latter appearing as the most important new factor. Leg bioimpedance was significantly lower in those who developed heart failure (p=1.1x10-72) during up to 9.8-year follow-up. When adjusting for known heart failure risk factors, leg bioimpedance was inversely related to heart failure (hazard ratio [95%CI], 0.60 [0.48–0.73]) and 0.75 [0.59–0.94], in age- and sex-adjusted and fully adjusted models, respectively, comparing the upper vs. lower quartile). A model including leg bioimpedance, age, sex, and self-reported history of myocardial infarction showed good predictive capacity of future heart failure hospitalization (C-index=0.82) and good calibration.Conclusions and RelevanceLeg bioimpedance is inversely associated with heart failure incidence in the general population. A simple model of exclusively non-invasive measures, combining leg bioimpedance with history of myocardial infarction, age, and sex provides accurate predictive capacity.Key pointsQuestionWhich are the most important risk factors for incident heart failure?FindingsIn this population-based cohort study of ~500,000 individuals, machine learning identified well-established risk factors, but also several novel factors. Among the most important were leg bioimpedance and mean reticulocyte volume. There was a strong inverse relationship between leg bioimpedance and incident heart failure, also in adjusted analyses. A model entailing leg bioimpedance, age, sex, and self-reported history of myocardial infarction showed good predictive capacity of heart failure hospitalization and good calibration.MeaningLeg bioimpedance appears to be an important new factor associated with incident heart failure.

Evidence-based management of arrhythmogenic right ventricular cardiomyopathy in pregnancy

2020 ◽  
Author(s):  
Jagjit Khosla ◽  
Reshma Golamari ◽  
Alice Cai ◽  
Jamal Benson ◽  
Wilbert S Aronow ◽  
...  
Keyword(s):  
Heart Failure ◽  
Right Ventricular ◽  
Retrospective Studies ◽  
Arrhythmogenic Right Ventricular Cardiomyopathy ◽  
Genetic Disorder ◽  
Ventricular Myocardium ◽  
Evidence Based ◽  
Ventricular Cardiomyopathy ◽  
Genes Encoding ◽  
In Pregnancy

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetic disorder resulting in fibrofatty replacement of the myocardium. Genetic mutations in genes encoding for desmosome proteins result in a ventricular myocardium prone to arrhythmias and heart failure. Although ARVC is known for a few decades, most of the outcomes in pregnancy are reported recently. Pregnancy leads to significant physiological changes with excess mechanical stress on the myocardium. All the retrospective studies suggest that pregnancy is well tolerated in these patients despite the high risk of arrhythmias and heart failure. Our review focuses on the most up-to-date evidence on the management of ARVC patients during the antepartum and postpartum period.

scholarly journals Glycemic Status and Incident Heart Failure in Elderly Without History of Diabetes Mellitus: The Health, Aging, and Body Composition Study

2009 ◽  
Vol 15 (7) ◽  
pp. 593-599 ◽  
Author(s):  
Andreas Kalogeropoulos ◽  
Vasiliki Georgiopoulou ◽  
Tamara B. Harris ◽  
Stephen B. Kritchevsky ◽  
Douglas C. Bauer ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Heart Failure ◽  
Body Composition ◽  
Glycemic Status ◽  
Body Composition Study ◽  
Health Aging ◽  
History Of ◽  
Incident Heart Failure ◽  
Composition Study

Abstract P027: Fasting Glucose And Risk Of Heart Failure

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Hassan Khan ◽  
Setor Kunutsor ◽  
Jussi Kauhanen ◽  
Sudhir Kurl ◽  
Eiran Gorodeski ◽  
...  
Keyword(s):  
Heart Failure ◽  
Prospective Studies ◽  
Fasting Glucose ◽  
Meta Analysis ◽  
Population Based ◽  
Dose Response Relationship ◽  
Increased Risk ◽  
History Of ◽  
Independent Association

Background: There remains uncertainty regarding the association between fasting glucose (FG) and the risk of heart failure (HF) in individuals without a history of diabetes. Methods and Results: We assessed the association between FG and HF risk in a population-based cohort of 1,740 men aged 42-61 years free from HF or diabetes at baseline. Additionally, we performed a meta-analysis of relevant prospective studies identified from MEDLINE, EMBASE, and Web of Science databases. During a mean follow-up of 20.4 years, 146 participants developed HF (4.1 cases per 1000 person-years). In models adjusted for age, the hazard ratio (HR) for HF per 1 mmol/L increase in FG was 1.34 (95% confidence interval [CI], 1.22, 1.48). This association persisted after adjustment for established HF risk factors (HR 1.27, 95% CI 1.14, 1.42). Compared with FG< 5.6 mmol/L, there was an increased risk amongst those with FG 5.6-6.9 mmol/L (HR 1.24, 95% CI 0.82, 1.88) and ≥ 7.0 mmol/L (HR 3.25, 95% CI 1.50, 7.08). HRs remained consistent across several clinical subgroups. In a meta-analysis of 10 prospective studies (Figure 1) involving a total of 4,213 incident HF cases, the HR for HF per 1 mmol/L increase in FG level was 1.11 (95% CI 1.04, 1.17), consistent with a linear dose-response relationship with evidence of heterogeneity between studies (I2=79%, 63-89%; P<0.001). Conclusions: A positive, continuous, and independent association exists between FG and risk for HF. Further studies are needed to evaluate the causal relevance of these findings.

Abstract 3003: Programmed Ventricular Stimulation Does Not Predict the Outcome of Patients with Arrhythmogenic Right Ventricular Cardiomyopathy (from DARVIN study)

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Domenico Corrado ◽  
Loira Leoni ◽  
Mark S Link ◽  
Hugh Calkins ◽  
Thomas Wichter ◽  
...  
Keyword(s):  
Sudden Death ◽  
Right Ventricular ◽  
Predictive Value ◽  
Arrhythmogenic Right Ventricular Cardiomyopathy ◽  
Ventricular Cardiomyopathy ◽  
Icd Therapy ◽  
Programmed Ventricular Stimulation ◽  
Ventricular Stimulation ◽  
History Of

Background: The Defibrillator in Arrhythmogenic Right Ventricular Cardiomyopathy International (DARVIN) study was a multicenter investigation that enrolled patients with arrhythmogenic right ventricular cardiomyopathy (ARVC) who received an implantable defibrillator (ICD) for either secondary or primary prevention of sudden death. Methods: In this DARVIN substudy, we examined whether programmed ventricular stimulation (PVS) is able to predict the arrhythmic risk in a large cohort of 201 ARVC patients (133 males, 68 females, aged 36 ± 12 years) who received an ICD. Implant indications were a history of cardiac arrest in 13 (6%) patients; sustained ventricular tachycardia (VT) in 82 (41%); syncope in 42 (21%); asymptomatic nonsustained VT in 40 (20%); and a family history of sudden death in 24 (12%). PVS prior to ICD implantation was carried out in 143 of 201 patients (71%). All antiarrhythmic drugs were discontinued ≥ 5 half-lives (≥ 6 weeks for amiodarone) before the study. PVS included a minimum of 2 drive cycles length and up to 3 ventricular extrastimuli while pacing from two right ventricular sites. Results: One hundred-nine patients (76%) were inducible to either sustained VT (patients 70; 64%), with a mean cycle length of 287 ± 66ms (range 220 to 410 ms), or ventricular fibrillation/flutter (VF) (patients 39; 36%). Of 109 patients who were inducible at PVS, 56 (52%) did not experience ICD therapy during a mean follow-up of 47 ± 22 months, whereas 11 of 34 (33%) noninducible patients had appropriate ICD interventions. Overall, the positive predictive value of PVS was 48%, the negative predictive value 67%, and the test accuracy 53%. The incidence of ICD discharges on VF, which in all likelihood would have been fatal in the absence of ICD therapy, did not differ between patients who were and were not inducible at PVS (26 of 109, 24% vs 7 of 34, 21%; p=0.87), regardless of clinical presentation. The type of ventricular arrhythmia inducible at PVS did not predict VF during the follow-up. Conclusions: The presence (or absence) of an inducible arrhythmia on PVS did not correlate with subsequent appropriate ICD interventions, suggesting a limited role for PVS in arrhythmic risk stratification of ARVC patient population. A negative PVS may not indicate better prognosis.

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