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Investigate trends in myocarditis incidence and prognosis in Sweden during 2000–2014. Little data exist concerning population-trends in incidence of hospitalizations for myocarditis and subsequent prognosis. Linking Swedish National Patient and Cause of Death Registers, we identified individuals ≥ 16 years with first-time diagnosis of myocarditis during 2000–2014. Reference population, matched for age and birth year (n = 16,622) was selected from Swedish Total Population Register. Among the 8 679 cases (75% men, 64% < 50 years), incidence rate/100,000 inhabitants rose from 6.3 to 8.6 per 100,000, mostly in men and those < 50 years. Incident heart failure/dilated cardiomyopathy occurred in 6.2% within 1 year after index hospitalization and in 10.2% during 2000–2014, predominantly in those ≥ 50 years (12.1% within 1 year, 20.8% during 2000–2014). In all 8.1% died within 1 year, 0.9% (< 50 years) and 20.8% (≥ 50 years). Hazard ratios (adjusted for age, sex) for 1-year mortality comparing cases and controls were 4.00 (95% confidence interval 1.37–11.70), 4.48 (2.57–7.82), 4.57 (3.31–6.31) and 3.93 (3.39–4.57) for individuals aged < 30, 30 to < 50, 50 to < 70, and ≥ 70 years, respectively. The incidence of myocarditis during 2000–2014 increased, predominantly in men < 50 years. One-year mortality was low, but fourfold higher compared with reference population.

Background Acquired aortic stenosis (AS) increases with age and has high mortality without intervention. Factors predicting its development are unclear, although atherosclerotic factors are assumed to be involved. Our aim in this study is to estimate the lifetime cumulative incidence and predictors of AS in middle-aged men. Methods We included a random sample of men (n = 9998) born 1915–1925 in Gothenburg, Sweden. From them, 7,494 were examined and followed until a diagnosis of AS or death (maximum follow-up time 42.8 years). We identified AS diagnosis from the Swedish National Patient Registry and deaths from the Swedish Cause of Death Registry by using International Classification of Disease (ICD) diagnostic criteria. To study time-dependent relationships between AS and risk factors with death as the competing risk, we divided the cohort into three overlapping follow-up groups: 25–43, 30–43 and 35–43 years. We used age-adjusted Cox proportional hazards model to identify predictors of AS. Results The lifelong cumulative incidence of AS was 3.2%. At baseline, participants in the third group had a healthier lifestyle, lower body mass index (BMI), blood pressure, and serum cholesterol levels. Higher BMI, obesity, cholesterol, hypertension, atrial fibrillation, smoking and heredity for stroke were associated with AS. With BMI of 20–22.5 as a reference, hazard ratios of being diagnosed with AS for men with a baseline BMI of 25–27.5 kg/m2, 27.5–30 kg/m2 and > 30 kg/m2 were 1.99 (95% CI 1.12–3.55), 2.98 (95% CI 1.65–5.40) and 3.55 (95% CI 1.84–6.87), respectively. Conclusions The lifetime cumulative incidence of AS in middle-aged male population was 3.2%. Multiple atherosclerotic risk factors, particularly high BMI might be associated with a higher risk of developing AS.

RA larger than LA, independently of LVEF, is associated with all-cause mortality in elderly patients hospitalized due to HF.

AimsTo study clinical phenotype, prognosis for all-cause and cardiovascular (CV) mortality and predictive factors in patients with incident heart failure (HF) after aortic valvular intervention (AVI) for aortic stenosis (AS). Methods and resultsIn this retrospective, observational study we included patients from the Swedish Heart Failure Registry (SwedeHF) recorded 2003-2016, with AS diagnosis and AVI before HF diagnosis. The AS diagnosis was established according to International Classification of Diseases 10th revision (ICD-10) codes, thus without information concerning clinical or echocardiographical data on the aortic valve disease. The patients were divided into two subgroups: left ventricular ejection fraction (LVEF) ≥ 50% (AS-HFpEF) and <50% (AS-HFrEF). We individually matched three controls with HF from the SwedeHF without AS (control group) for each patient. Baseline characteristics, co-morbidities, survival status and outcomes were obtained by linking the SwedeHF with two other Swedish registries. We used Kaplan-Meier curves to present time to all-cause mortality, cumulative incidence function for time to CV mortality and Cox proportional hazards model to evaluate the relative difference between AS-HFrEF and AS-HFpEF and AS-HF and controls. The crude all-cause mortality was 49.0%, CV mortality 27.9% in AS-HF patients, respectively 44.7% and 26.6% in matched controls. The adjusted risk for all-cause mortality and CV mortality was similar in HF, regardless of LVEF vs. controls. No significant difference in factors predicting higher all-cause mortality was observed in AS-HFrEF vs. AS-HFpEF, except for diabetes (only in AS-HFrEF), with statistically significant interaction predicting death between the two groups. Conclusions In this nationwide SwedeHF study, we characterized incident HF population after AVI. We found no significant differences in all-cause and CV mortality compared with general HF population. They had virtually the same predictors for mortality, regardless of LVEF.

AimsThe impact of hospital readmissions on the outcomes of heart failure (HF) patients is well known. However, data on temporal trends of cause‐specific hospital readmissions in these patients are limited.Methods and resultsFrom 1987 to 2014, we identified and followed up for 1 year 608 135 patients ≥18 years hospitalized with HF according to the International Classification of Diseases (ICD) 9 and 10 from the National Inpatient Register. Readmissions for cardiovascular (CVD) and non‐CVD causes and co‐morbidities were defined according to ICD‐9 and ICD‐10 codes. We analysed trends in the incidence rate of readmissions, the median time to the first rehospitalization, and the time to readmission, stratified by sex, age groups and cause of rehospitalization using linear regression. During our study, 1 year all‐cause mortality decreased (β = −4.93, P < 0.0001), but the incidence rate of readmissions per 1000 person‐years remained unchanged. The readmission rate for CVD causes decreased; in contrast, the readmission rate increased across all age and sex groups for non‐CVD causes. Analysing the patients by study periods (1987–1997, 1998–2007 and 2008–2014), CVD and non‐CVD co‐morbidities had a statistically significant increasing trend (P < 0.001). The median time in hospital decreased and the median time to the first readmission were almost unchanged.ConclusionsContrary to a declining mortality rate, the incidence rate of readmissions saw no change, possibly because of divergent trends in cause‐specific readmissions. An increasing rate of readmissions for non‐CVD causes underscores the importance of optimising multimorbidity management to reduce the risk of readmissions in patients with HF.

Background Acquired aortic stenosis (AS) is the most common valvular disorder that rises exponentially with age; it has high mortality after symptoms appear. Factors that predict the development of AS are still unknown. Some studies imply that the atherosclerotic factors are involved in the development of AS, but the findings have been heterogeneous. Purpose To estimate lifelong cumulative incidence of AS and analyse its predictors. Methods We included a random sample of men, born 1915–1925 in Gothenburg, Sweden, and examined them in 1970–1973 (participation rate 75%). They were between 47 and 55 years in the beginning and 57–65 years when the examination-period ended. Out of 7493 men 57 were excluded due to myocardial infarction prior to baseline; 7436 were thus followed from the inclusion date until a discharge diagnosis of AS or death, with a maximum follow up time of 42 years and mean follow-up time 26.8 years. Men with AS were identified from the Swedish National Patient Register and those who died from the Swedish Cause of Death Register. We used machine learning to identify the most important factors that predict AS. For these factors, we then estimated hazard ratios for the risk to acquire AS through Cox proportional hazards model. Results The lifelong cumulative incidence to acquire AS was 2.66% (198 out of 7436 individuals). For men with measurements approximately at the quartiles of the pulse pressure distribution, more specifically 44, 52, 62 mm Hg, the estimated cumulative risk were 1.97%, 2.74% and 3.07% respectively. For the body mass index (BMI) we had accordingly for measurements around 23, 25 and 27 kg/m2 estimated cumulative risk 2.52%, 2.80%, 2.79% respectively. For cholesterol values of 5, 6 and 7 mmol/l (approximately at quartile divisions) the estimated cumulative risk was 1.77%, 1.79% and 3.20% respectively. The estimated cumulative risks for the younger, with age around 47 and the older participants, with age around 55 were 1.76% and 2.68 respectively. Men with family history of infarction in a sibling had an estimated cumulative risk at 4.66% level whereas those with not at 2.51%. The factors that were significantly associated with the development of AS in the Cox proportional model are: cholesterol level (HR=1.24, CI 95% 1.11–1.39, p=0.0001), pulse pressure (HR=1.01, CI 95% 1.01–1.02, p=0.0037), BMI (HR=1.06, CI 95% 1.02–1.11, p=0.0089), age (HR=1.11, CI 95% 1.04–1.19, p=0.0010) and family history of myocardial infarction in a sibling (HR=2.38, CI 95% 1.50–3.79, p=0.0002). Conclusion Lifelong cumulative incidence of acquired AS is approximately 2.7%. Multiple factors known also to be associated with arteriosclerosis were identified to increase the life-long risk of developing AS. Funding Acknowledgement Type of funding source: None