| 1. |
|
|
| 2. |
- Lumbers, R. T., et al.
(author)
-
The genomics of heart failure: design and rationale of the HERMES consortium
- 2021
-
In: Esc Heart Failure. - : Wiley. - 2055-5822. ; 8:6, s. 5531-5541
-
Journal article (peer-reviewed)abstract
- Aims The HERMES (HEart failure Molecular Epidemiology for Therapeutic targets) consortium aims to identify the genomic and molecular basis of heart failure. Methods and results The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome-wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow-up following heart failure diagnosis ranged from 2 to 116 months. Forty-nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34-90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of >1.10 for common variants (allele frequency > 0.05) and >1.20 for low-frequency variants (allele frequency 0.01-0.05) at P < 5 x 10(-8) under an additive genetic model. Conclusions HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction.
|
|
| 3. |
|
|
| 4. |
- Shah, S, et al.
(author)
-
Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure
- 2020
-
In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 11:1, s. 163-
-
Journal article (peer-reviewed)abstract
- Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.
|
|
| 5. |
- Patel, Riyaz S., et al.
(author)
-
Subsequent Event Risk in Individuals With Established Coronary Heart Disease : Design and Rationale of the GENIUS-CHD Consortium
- 2019
-
In: Circulation. - 2574-8300. ; 12:4
-
Journal article (peer-reviewed)abstract
- BACKGROUND: The Genetics of Subsequent Coronary Heart Disease (GENIUS-CHD) consortium was established to facilitate discovery and validation of genetic variants and biomarkers for risk of subsequent CHD events, in individuals with established CHD.METHODS: The consortium currently includes 57 studies from 18 countries, recruiting 185 614 participants with either acute coronary syndrome, stable CHD, or a mixture of both at baseline. All studies collected biological samples and followed-up study participants prospectively for subsequent events.RESULTS: Enrollment into the individual studies took place between 1985 to present day with a duration of follow-up ranging from 9 months to 15 years. Within each study, participants with CHD are predominantly of self-reported European descent (38%-100%), mostly male (44%-91%) with mean ages at recruitment ranging from 40 to 75 years. Initial feasibility analyses, using a federated analysis approach, yielded expected associations between age (hazard ratio, 1.15; 95% CI, 1.14-1.16) per 5-year increase, male sex (hazard ratio, 1.17; 95% CI, 1.13-1.21) and smoking (hazard ratio, 1.43; 95% CI, 1.35-1.51) with risk of subsequent CHD death or myocardial infarction and differing associations with other individual and composite cardiovascular endpoints.CONCLUSIONS: GENIUS-CHD is a global collaboration seeking to elucidate genetic and nongenetic determinants of subsequent event risk in individuals with established CHD, to improve residual risk prediction and identify novel drug targets for secondary prevention. Initial analyses demonstrate the feasibility and reliability of a federated analysis approach. The consortium now plans to initiate and test novel hypotheses as well as supporting replication and validation analyses for other investigators.
|
|
| 6. |
|
|
| 7. |
|
|
| 8. |
- Metra, M., et al.
(author)
-
Influence of heart rate, blood pressure, and beta-blocker dose on outcome and the differences in outcome between carvedilol and metoprolol tartrate in patients with chronic heart failure: results from the COMET trial
- 2005
-
In: European heart journal. - : Oxford University Press (OUP). - 0195-668X .- 1522-9645. ; 26:21, s. 2259-68
-
Journal article (peer-reviewed)abstract
- AIMS: We studied the influence of heart rate (HR), systolic blood pressure (SBP), and beta-blocker dose on outcome in the 2599 out of 3029 patients in Carvedilol Or Metoprolol European Trial (COMET) who were alive and on study drug at 4 months after randomization (time of first visit on maintenance therapy). METHODS AND RESULTS: By multivariable analysis, baseline HR, baseline SBP, and their change after 4 months were not independently related to subsequent outcome. In a multivariable analysis including clinical variables, HR above and SBP below the median value achieved at 4 months predicted subsequent increased mortality [relative risk (RR) for HR>68 b.p.m. 1.333; 95% confidence intervals (CI) 1.152-1.542; P<0.0001 and RR for SBP>120 mmHg 0.78; 95% CI 0.671-0.907; P<0.0013]. Achieving target beta-blocker dose was associated with a better outcome (RR 0.779; 95% CI 0.662-0.916; P<0.0025). The superiority of carvedilol as compared to metoprolol tartrate was maintained in a multivariable model (RR 0.767; 95% CI 0.663-0.887; P=0.0004) and there was no interaction with HR, SBP, or beta-blocker dose. CONCLUSION: Beta-blocker dose, HR, and SBP achieved during beta-blocker therapy have independent prognostic value in heart failure. None of these factors influenced the beneficial effects of carvedilol when compared with metoprolol tartrate at the pre-defined target doses used in COMET.
|
|
| 9. |
- Torp-Pedersen, C., et al.
(author)
-
Effects of metoprolol and carvedilol on preexisting and new on-set diabetes in patients with chronic heart failure {inverted exclamation}V data from the Carvedilol or metoprolol European Trial (COMET)
- 2007
-
In: Heart. - 1468-201X. ; 93:8, s. 968-973
-
Journal article (peer-reviewed)abstract
- Objective Beta-blocker therapy may worsen glucose metabolism. We studied the development of new onset diabetes in a large cohort of heart failure patients treated with either metoprolol or carvedilol. Design Prospective and retrospective analysis of a controlled clinical trial. Setting Multinational multicenter study Patients 3029 patients with chronic heart failure. Interventions Randomly assigned treatment with carvedilol (n=1511, target dose 50 mg daily) or metoprolol tartrate (n=1518, target dose 100 mg daily). Results Diabetic events (diabetic coma, peripheral gangrene, diabetic foot, de-creased glucose tolerance or hyperglycemia) and new onset diabetes (clinical di-agnosis, repeated high random glucose level or glucose lowering medication) were assessed in 2298 patients without diabetes at baseline. Diabetic events oc-curred in 122/1151 (10.6%) patients in the carvedilol group and 149/1147 (13.0%) patients in the metoprolol group (hazard ratio (HR) 0.78; 95% confi-dence interval (CI) 0.61-0.99, p=0.039). New onset diabetes was diagnosed in 119/1151 (10.4%) versus 145/1147 (12.6%) cases in the carvedilol and metoprolol treatment groups (HR 0.78, CI 0.61-0.998, p=0.048). Patients with diabetes at baseline had an increased mortality, compared to non-diabetics (45.3% versus, 33.9%; HR 1.45, CI 1.28-1.65). Both diabetics and non-diabetics at baseline had a similar reduction in mortality with carvedilol compared to metoprolol (RR 0.85; CI 0.69-1.06 and RR 0.82; CI, 0.71-0.94, respectively). Conclusion This study demonstrates both a high prevalence and incidence of diabetes in patients with heart failure over a course of 5 years. New onset diabe-tes was more likely to occur during treatment with metoprolol than during treat-ment with carvedilol.
|
|
| 10. |
- Yang, Wen-Yi, et al.
(author)
-
Association of Office and Ambulatory Blood Pressure With Mortality and Cardiovascular Outcomes
- 2019
-
In: Journal of the American Medical Association (JAMA). - : AMER MEDICAL ASSOC. - 0098-7484 .- 1538-3598. ; 322:5, s. 409-420
-
Journal article (peer-reviewed)abstract
- ImportanceBlood pressure (BP) is a known risk factor for overall mortality and cardiovascular (CV)-specific fatal and nonfatal outcomes. It is uncertain which BP index is most strongly associated with these outcomes. ObjectiveTo evaluate the association of BP indexes with death and a composite CV event. Design, Setting, and ParticipantsLongitudinal population-based cohort study of 11135 adults from Europe, Asia, and South America with baseline observations collected from May 1988 to May 2010 (last follow-ups, August 2006-October 2016). ExposuresBlood pressure measured by an observer or an automated office machine; measured for 24 hours, during the day or the night; and the dipping ratio (nighttime divided by daytime readings). Main Outcomes and MeasuresMultivariable-adjusted hazard ratios (HRs) expressed the risk of death or a CV event associated with BP increments of 20/10 mm Hg. Cardiovascular events included CV mortality combined with nonfatal coronary events, heart failure, and stroke. Improvement in model performance was assessed by the change in the area under the curve (AUC). ResultsAmong 11135 participants (median age, 54.7 years, 49.3% women), 2836 participants died (18.5 per 1000 person-years) and 2049 (13.4 per 1000 person-years) experienced a CV event over a median of 13.8 years of follow-up. Both end points were significantly associated with all single systolic BP indexes (P<.001). For nighttime systolic BP level, the HR for total mortality was 1.23 (95% CI, 1.17-1.28) and for CV events, 1.36 (95% CI, 1.30-1.43). For the 24-hour systolic BP level, the HR for total mortality was 1.22 (95% CI, 1.16-1.28) and for CV events, 1.45 (95% CI, 1.37-1.54). With adjustment for any of the other systolic BP indexes, the associations of nighttime and 24-hour systolic BP with the primary outcomes remained statistically significant (HRs ranging from 1.17 [95% CI, 1.10-1.25] to 1.87 [95% CI, 1.62-2.16]). Base models that included single systolic BP indexes yielded an AUC of 0.83 for mortality and 0.84 for the CV outcomes. Adding 24-hour or nighttime systolic BP to base models that included other BP indexes resulted in incremental improvements in the AUC of 0.0013 to 0.0027 for mortality and 0.0031 to 0.0075 for the composite CV outcome. Adding any systolic BP index to models already including nighttime or 24-hour systolic BP did not significantly improve model performance. These findings were consistent for diastolic BP. Conclusions and RelevanceIn this population-based cohort study, higher 24-hour and nighttime blood pressure measurements were significantly associated with greater risks of death and a composite CV outcome, even after adjusting for other office-based or ambulatory blood pressure measurements. Thus, 24-hour and nighttime blood pressure may be considered optimal measurements for estimating CV risk, although statistically, model improvement compared with other blood pressure indexes was small.
|
|
