Semaglutide and Cardiovascular Outcomes by Baseline HbA1c and Change in HbA1c in People With Overweight or Obesity but Without Diabetes in SELECT.

OBJECTIVE: To evaluate the cardiovascular effects of semaglutide by baseline glycated hemoglobin (HbA1c) and change in HbA1c in a prespecified analysis of Semaglutide Effects on Cardiovascular Outcomes in People With Overweight or Obesity (SELECT). RESEARCH DESIGN AND METHODS: In SELECT, people with overweight or obesity and atherosclerotic cardiovascular disease without diabetes were randomized to weekly semaglutide 2.4 mg or placebo. The primary end point of first major adverse cardiovascular event (MACE) (cardiovascular mortality, nonfatal myocardial infarction, or stroke) was reduced by 20% with semaglutide versus placebo. Analysis of outcomes included first MACE, its individual components, expanded MACE (cardiovascular mortality, nonfatal myocardial infarction, or stroke; coronary revascularization; or hospitalization for unstable angina), a heart failure composite (heart failure hospitalization or urgent medical visit or cardiovascular mortality), coronary revascularization, and all-cause mortality by baseline HbA1c subgroup and categories of HbA1c change (<-0.3, -0.3 to 0.3, and >0.3 percentage points) from baseline to 20 weeks using the intention-to-treat principle with Cox proportional hazards. RESULTS: Among 17,604 participants (mean age 61.6 years, 72.3% male), baseline HbA1c was <5.7% for 33.5%, 5.7% to <6.0% for 34.6%, and 6.0% to <6.5% for 31.9%. Cardiovascular risk reduction with semaglutide versus placebo was not shown to be different across baseline HbA1c groups and was consistent with that of the overall study for all end points, except all-cause mortality. Cardiovascular outcomes were also consistent across subgroups of HbA1c change. CONCLUSIONS: In people with overweight or obesity and established atherosclerotic cardiovascular disease but not diabetes, semaglutide reduced cardiovascular events irrespective of baseline HbA1c or change in HbA1c. Thus, semaglutide is expected to confer cardiovascular benefits in people with established atherosclerotic cardiovascular disease who are normoglycemic at baseline and/or in those without HbA1c improvements.

Hemodialysis and its impact on patient characteristics, microbiology, cardiac surgery, and mortality in infective endocarditis.

BACKGROUND: Patients with chronic renal failure on hemodialysis carry a significant risk of infective endocarditis (IE), but data on whether these patients differ from other patients with IE in terms of comorbidity, microbiology, rates of surgery and mortality are sparse. METHODS: Using Danish nationwide registries, all patients with IE diagnosed between February 1, 2010, and May 14, 2018 were identified and categorized into a "hemodialysis group" and a "non-hemodialysis group." Patient groups were compared by comorbidities, microbiological etiology, cardiac surgery, and mortality. Risk factors associated with mortality were assessed in multivariable Cox regression analysis. RESULTS: In total, 4,366 patients with IE were included with 226 (5.2%) patients in the hemodialysis group. Patients in the hemodialysis group were younger (66.0 years [IQR 53.8-74.9] vs 72.2 years [IQR 62.2-80.0]), had more comorbidities and were surgically treated less often (10.6% vs 20.8%), compared with patients from the nonhemodialysis group. Staphylococcus aureus was more than twice as prevalent (58.0% vs 26.5%). No difference in in-hospital mortality was found between the 2 groups (20.8% vs 18.5%), but 1- and 5-year mortality were significantly higher in the hemodialysis group than in the nonhemodialysis group (37.7% vs 17.7% and 72.1% vs 42.5%, respectively). In adjusted analysis, hemodialysis was associated with higher 1-year (HR = 2.71, 95% CI 2.07-3.55) and 5-year mortality (HR = 2.72, 95% CI 2.22-3.34) CONCLUSIONS: Patients with IE on chronic hemodialysis were younger, had more comorbidity, a higher prevalence of Staphylococcus aureus IE, and a higher mortality than patients without hemodialysis.

Use of torsades de pointes risk drugs among patients with out-of-hospital cardiac arrest and likelihood of shockable rhythm and return of spontaneous circulation: A nationwide study.

AIM: Treatment with certain drugs can augment the risk of developing malignant arrhythmias (e.g. torsades de pointes [TdP]). Hence, we examined the overall TdP risk drug use before out-of-hospital cardiac arrest (OHCA) and possible association with shockable rhythm and return of spontaneous circulation (ROSC). METHODS: Patients ≥18 years with an OHCA of cardiac origin from the Danish Cardiac Arrest Registry (2001-2014) and TdP risk drug use according to www.CredibleMeds.org were identified. Factors associated with TdP risk drug use and secondly how use may affect shockable rhythm and ROSC were determined by multivariable logistic regression. RESULTS: We identified 27,481 patients with an OHCA of cardiac origin (median age: 72 years [interquartile range 62.0, 80.0 years]). A total of 37% were in treatment with TdP risk drugs 0-30 days before OHCA compared with 33% 61-90 days before OHCA (p < 0.001). Most commonly used TdP risk drugs were citalopram (36.1%) and roxithromycin (10.7%). Patients in TdP risk drug treatment were older (75 vs 70 years) and more comorbid compared with those not in treatment. Subsequently, TdP risk drug use was associated with less likelihood of the presenting rhythm being shockable (odds ratio [OR] = 0.63, 95% confidence interval [CI]:0.58-0.69) and ROSC (OR = 0.73, 95% CI:0.66-0.80). CONCLUSION: TdP risk drug use increased in the time leading up to OHCA and was associated with reduced likelihood of presenting with a shockable rhythm and ROSC in an all-comer OHCA setting. However, patients in TdP risk drug treatment were older and more comorbid than patients not in treatment.

ß-blocker adherence among patients with congenital long QT syndrome: a nationwide study.

AIM: ß-blockers are the first line of treatment in patients with congenital long QT syndrome (cLQTS) (class I or II recommendation) in order to prevent malignant arrhythmias. Hence, we examined long-term ß-blocker adherence and associated risk factors among patients with cLQTS. METHODS AND RESULTS: Danish patients with cLQTS claiming a prescription for any ß-blocker after their cLQTS diagnosis were identified using data from nationwide registries and specialized inherited cardiac disease clinics (1995-2017). Patients were followed for up to 5 years. Treatment breaks >60 days were assessed (i.e. proxy for reduced adherence). Multivariable Cox regression was used to identify risk factors associated with breaks of >60 days in ß-blocker treatment. Overall, 500 out of 633 (79%) patients with cLQTS claimed at least one prescription for any ß-blocker after cLQTS diagnosis. During follow-up, 38.4% had a treatment break. Risk factors significantly associated with treatment breaks were implantable cardioverter defibrillator (ICD) [hazard ratio (HR) = 1.65, 95% confidence interval (CI): 1.08-2.53], ß-blocker side effects (HR = 2.69, 95% CI: 1.75-4.13), and psychiatric disease (HR = 1.63, 95% CI: 1.04-2.57). In contrast, patients presenting with ventricular tachycardia/syncope as cLQTS disease manifestation were less likely to have a treatment break compared with asymptomatic patients (HR = 0.55, 95% CI: 0.33-0.92). CONCLUSION: Reduced ß-blocker adherence was common with more than a third of patients having a treatment break >60 days after cLQTS diagnosis. Patients with psychiatric disease, self-reported ß-blocker side effects, and an ICD were more likely to display reduced adherence, whereas a severe cLQTS disease manifestation was associated with optimal ß-blocker adherence.

Long-term Risk of Heart Failure and Other Adverse Cardiovascular Outcomes in Granulomatosis With Polyangiitis: A Nationwide Cohort Study.

OBJECTIVE: To examine the long-term rates of heart failure (HF) and other adverse cardiovascular (CV) outcomes in a nationwide cohort of patients diagnosed with granulomatosis with polyangiitis (GPA) compared with the general population. METHODS: Using Danish nationwide registries, patients with newly diagnosed GPA were identified and matched 1:4 by age, sex, and comorbidities with subjects from the general population. Outcomes were compared using Cox regression. Due to violation of the proportional hazard assumption, landmark analyses for the first year and from 1 year were performed. RESULTS: Of the 1923 patients with GPA, 1781 patients (median age 59 yrs, 47.9% men) were matched with 7124 subjects from the general population. The median follow-up was 6.4 years. The absolute 10-year risk of HF was 6.8% (95% CI 5.5-8.2%) for patients with GPA and 5.9% (5.3-6.6%) for the general population. During the first year after diagnosis, GPA was associated with a significantly higher rate of HF (hazard ratio [HR] 3.60, 95% CI, 2.28-5.67) and other adverse outcomes, including atrial fibrillation/flutter (HR 6.50, 95% CI 4.43-9.55) and ischemic stroke (HR 3.24, 95% CI 1.92-5.48), compared with the general population. After the first year, GPA was not associated with higher rates of HF or other CV outcomes compared with the general population, except atrial fibrillation/flutter (HR 1.38, 95% CI 1.12-1.70). CONCLUSION: During the first year after diagnosis, the rates of HF and other CV outcomes were higher in patients with GPA compared with the general population. However, after the first year, the rates of HF and other CV outcomes, except atrial fibrillation/flutter, were similar to those in the general population.

Cause-specific death and risk factors of 1-year mortality after implantable cardioverter-defibrillator implantation: a nationwide study.

AIMS: Current treatment guidelines recommend implantable cardioverter-defibrillators (ICDs) in eligible patients with an estimated survival beyond 1 year. There is still an unmet need to identify patients who are unlikely to benefit from an ICD. We determined cause-specific 1-year mortality after ICD implantation and identified associated risk factors. METHODS AND RESULTS: Using Danish nationwide registries (2000-2017), we identified 14 516 patients undergoing first-time ICD implantation for primary or secondary prevention. Risk factors associated with 1-year mortality were evaluated using multivariable logistic regression. The median age was 66 years, 81.3% were male, and 50.3% received an ICD for secondary prevention. The 1-year mortality rate was 4.8% (694/14 516). ICD recipients who died within 1 year were older and more comorbid compared to those who survived (72 vs. 66 years, P < 0.001). Risk factors associated with increased 1-year mortality included dialysis [odds ratio (OR): 3.26, confidence interval (CI): 2.37-4.49], chronic renal disease (OR: 2.14, CI: 1.66-2.76), cancer (OR: 1.51, CI: 1.15-1.99), age 70-79 years (OR: 1.65, CI: 1.36-2.01), and age ≥80 years (OR: 2.84, CI: 2.15-3.77). The 1-year mortality rates for the specific risk factors were: dialysis (13.8%), chronic renal disease (13.1%), cancer (8.5%), age 70-79 years (6.9%), and age ≥80 years (11.0%). Overall, the most common causes of mortality were related to cardiovascular diseases (62.5%), cancer (10.1%), and endocrine disorders (5.0%). However, the most common cause of death among patients with cancer was cancer-related (45.7%). CONCLUSION: Among ICD recipients, mortality rates were low and could be indicative of relevant patient selection. Important risk factors of increased 1-year mortality included dialysis, chronic renal disease, cancer, and advanced age.

Polygenic predisposition to breast cancer and the risk of coronary artery disease.

BACKGROUND: Whether the increased risk of coronary artery disease (CAD) in patients with breast cancer may be linked to shared genetics is unknown. Our objective was to investigate the association of genetic predisposition to breast cancer with CAD risk via 1) a polygenic risk score 2) a nationwide case-control study. METHODS AND RESULTS: We studied the associations of a polygenic risk score based on 91 single nucleotide polymorphisms previously associated with breast cancer in genome-wide association studies with the risk of CAD in a sample of patients undergoing coronary angiography. Secondary outcomes were prevalent atrial fibrillation, heart failure and breast cancer. Logistic regression models were used to analyze the associations. The risk of CAD associated with having a mother with breast cancer was analyzed with conditional logistic regression in the case-control study. Among 4985 patients undergoing coronary angiography (median age 66 years (Quartile (Q) 1-Q3 57-73), 65% male) 3724 (75%) had CAD. Increasing polygenic risk score was not associated with risks of CAD (odds ratio (OR) 1.01, 95% confidence interval (CI) 0.94-1.08), atrial fibrillation (OR 1.03, CI 0.94-1.12), or heart failure (OR 0.97, CI 0.90-1.05). In women, increasing polygenic risk score was associated with the risk of breast cancer (OR 1.40, CI 1.14-1.73). The risk of CAD was not significantly increased in children with vs. without mothers with breast cancer (Hazard ratio 0.89 95% CI 0.83-0.96, p = 0.002). CONCLUSIONS: Our study found no evidence of a shared genetic predisposition of breast cancer with CAD, atrial fibrillation, or heart failure.

Hypertension genetic risk score is associated with burden of coronary heart disease among patients referred for coronary angiography.

BACKGROUND: Recent GWAS studies have identified more than 300 SNPs associated with variation in blood pressure. We investigated whether a genetic risk score constructed from these variants is associated with burden of coronary heart disease. METHODS: From 2010-2014, 4,809 individuals admitted to coronary angiography in Capital Region of Copenhagen were genotyped. We calculated hypertension GRS comprised of GWAS identified SNPs associated with blood pressure. We performed logistic regression analyses to estimate the risk of hypertension and prevalent CHD. We also assessed the severity of CHD associated with the GRS. The analyses were performed using GRS quartiles. We used the Inter99 cohort to validate our results and to investigate for possible pleiotropy for the GRS with other CHD risk factors. RESULTS: In COGEN, adjusted odds ratios comparing the 2nd, 3rd and 4th cumulative GRS quartiles with the reference were 1.12(95% CI 0.95-1.33), 1.35(95% CI 1.14-1.59) and 1.29(95% CI 1.09-1.53) respectively, for prevalent CHD. The adjusted multinomial logistic regression showed that 3rd and 4th GRS quartiles were associated with increased odds of developing two(OR 1.33, 95% CI 1.04-1.71 and OR 1.36, 95% CI 1.06-1.75, respectively) and three coronary vessel disease(OR 1.77, 95% CI 1.36-2.30 and OR 1.65, 95% CI 1.26-2.15, respectively). Similar results for incident CHD were observed in the Inter99 cohort. The hypertension GRS did not associate with type 2 diabetes, smoking, BMI or hyperlipidemia. CONCLUSION: Hypertension GRS quartiles were associated with an increased risk of hypertension, prevalent CHD, and burden of coronary vessel disease in a dose-response pattern. We showed no evidence for pleiotropy with other risk factors for CHD.

Common variants in the hERG (KCNH2) voltage-gated potassium channel are associated with altered fasting and glucose-stimulated plasma incretin and glucagon responses.

BACKGROUND: Patients with long QT syndrome due to rare loss-of-function mutations in the human ether-á-go-go-related gene (hERG) have prolonged QT interval, risk of arrhythmias, increased secretion of insulin and incretins and impaired glucagon response to hypoglycemia. This is caused by a dysfunctional Kv11.1 voltage-gated potassium channel. Based on these findings in patients with rare variants in hERG, we hypothesized that common variants in hERG may also lead to alterations in glucose homeostasis. Subsequently, we aimed to evaluate the effect of two common gain-of-function variants in hERG (rs36210421 and rs1805123) on QT interval and plasma levels of glucagon-like peptide-1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP), insulin and glucagon during an oral glucose tolerance test (OGTT). We used two population-based cohorts for evaluation of the effect of common variants in hERG on QT-interval and circulation levels of incretins, insulin and glucagon. The Danish population-based Inter99 cohort (n = 5895) was used to assess the effect of common variants on QT-interval. The Danish ADDITION-PRO cohort was used (n = 1329) to study genetic associations with levels of GLP-1, GIP, insulin and glucagon during an OGTT. RESULTS: Carriers of either the minor A-allele of rs36210421 or the minor G-allele of rs1805123 had ~ 2 ms shorter QT interval per risk allele (p = 0.025 and p = 1.9 × 10- 7). Additionally, both variants were associated with alterations in pancreatic and gut hormone release among carriers. The minor A- allele of rs36210421 was associated with increased GLP-1 and decreased GIP response to oral glucose stimulation, whereas the minor G-allele of rs1805123 is associated with decreased fasting plasma insulin and glucagon release. A genetic risk score combining the two gene variants revealed reductions in glucose-stimulated GIP, as well as suppressed glucagon response to increased glucose levels during an OGTT. CONCLUSIONS: Two common missense polymorphisms of the Kv11.1 voltage-gated hERG potassium channel are associated with alterations in circulating levels of GIP and glucagon, suggesting that hERG potassium channels play a role in fasting and glucose-stimulated release of GIP and glucagon. TRIAL REGISTRATION: ClinicalTrials.gov ( NCT00289237 ). Trial retrospectively registered at February 9, 2006. Studies were approved by the Ethical Committee of the Central Denmark Region (journal no. 20080229) and by the Copenhagen County Ethical Committee (KA 98155).

Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease.

BACKGROUND: Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD loci show pleiotropy; that is, they are also associated with other diseases or traits. OBJECTIVES: This study sought to systematically test if genetic variants identified for non-CAD diseases/traits also associate with CAD and to undertake a comprehensive analysis of the extent of pleiotropy of all CAD loci. METHODS: In discovery analyses involving 42,335 CAD cases and 78,240 control subjects we tested the association of 29,383 common (minor allele frequency >5%) single nucleotide polymorphisms available on the exome array, which included a substantial proportion of known or suspected single nucleotide polymorphisms associated with common diseases or traits as of 2011. Suggestive association signals were replicated in an additional 30,533 cases and 42,530 control subjects. To evaluate pleiotropy, we tested CAD loci for association with cardiovascular risk factors (lipid traits, blood pressure phenotypes, body mass index, diabetes, and smoking behavior), as well as with other diseases/traits through interrogation of currently available genome-wide association study catalogs. RESULTS: We identified 6 new loci associated with CAD at genome-wide significance: on 2q37 (KCNJ13-GIGYF2), 6p21 (C2), 11p15 (MRVI1-CTR9), 12q13 (LRP1), 12q24 (SCARB1), and 16q13 (CETP). Risk allele frequencies ranged from 0.15 to 0.86, and odds ratio per copy of the risk allele ranged from 1.04 to 1.09. Of 62 new and known CAD loci, 24 (38.7%) showed statistical association with a traditional cardiovascular risk factor, with some showing multiple associations, and 29 (47%) showed associations at p < 1 × 10-4 with a range of other diseases/traits. CONCLUSIONS: We identified 6 loci associated with CAD at genome-wide significance. Several CAD loci show substantial pleiotropy, which may help us understand the mechanisms by which these loci affect CAD risk.

Evaluation of the F2R IVS-14A/T PAR1 polymorphism with subsequent cardiovascular events and bleeding in patients who have undergone percutaneous coronary intervention.

Abnormal platelet reactivity is associated with recurrent ischemia and bleeding following percutaneous coronary intervention (PCI). Protease-activated receptor-1 (PAR1), encoded by F2R, is a high affinity thrombin receptor on platelets and the target of the antiplatelet drug vorapaxar. The intronic single nucleotide polymorphism F2R IVS-14 A/T affects PAR1 receptor density and function. We hypothesized that carriers of the T allele, who have been shown to have decreased platelet reactivity, would be at lower risk for thrombotic events, but higher risk for bleeding following PCI. Using BioVU, the Vanderbilt DNA repository linked to the electronic medical record, we studied 660 patients who underwent PCI for unstable or stable coronary artery disease. Primary outcome measures were major adverse cardiovascular events (MACE, composite of revascularization, MI, stroke, death) and bleeding (assessed by Bleeding Academic Research Consortium scale) over 24 months. The minor allele (T) frequency was 14.8 %. There were no genotypic differences in the frequency of MACE (33.7, 28.8, and 31.6 % for A/A, A/T, and T/T respectively, P = 0.50) or bleeding (15.7, 14.7, and 18.8 % for A/A, A/T, and T/T respectively, P = 0.90). In a Cox regression model, fully adjusted for age, race, sex, BMI, and smoking status, carrying a T allele was not associated with MACE (HR 1.19, 95 % CI 0.89-1.59, P = 0.23) or bleeding (HR 0.73, 95 % CI 0.37-1.4, P = 0.34). In conclusion, in our population, F2R IVS-14 PAR1 variability does not affect risk of MACE or bleeding following PCI.

Mechanistic phenotypes: an aggregative phenotyping strategy to identify disease mechanisms using GWAS data.

A single mutation can alter cellular and global homeostatic mechanisms and give rise to multiple clinical diseases. We hypothesized that these disease mechanisms could be identified using low minor allele frequency (MAF<0.1) non-synonymous SNPs (nsSNPs) associated with "mechanistic phenotypes", comprised of collections of related diagnoses. We studied two mechanistic phenotypes: (1) thrombosis, evaluated in a population of 1,655 African Americans; and (2) four groupings of cancer diagnoses, evaluated in 3,009 white European Americans. We tested associations between nsSNPs represented on GWAS platforms and mechanistic phenotypes ascertained from electronic medical records (EMRs), and sought enrichment in functional ontologies across the top-ranked associations. We used a two-step analytic approach whereby nsSNPs were first sorted by the strength of their association with a phenotype. We tested associations using two reverse genetic models and standard additive and recessive models. In the second step, we employed a hypothesis-free ontological enrichment analysis using the sorted nsSNPs to identify functional mechanisms underlying the diagnoses comprising the mechanistic phenotypes. The thrombosis phenotype was solely associated with ontologies related to blood coagulation (Fisher's p = 0.0001, FDR p = 0.03), driven by the F5, P2RY12 and F2RL2 genes. For the cancer phenotypes, the reverse genetics models were enriched in DNA repair functions (p = 2×10-5, FDR p = 0.03) (POLG/FANCI, SLX4/FANCP, XRCC1, BRCA1, FANCA, CHD1L) while the additive model showed enrichment related to chromatid segregation (p = 4×10-6, FDR p = 0.005) (KIF25, PINX1). We were able to replicate nsSNP associations for POLG/FANCI, BRCA1, FANCA and CHD1L in independent data sets. Mechanism-oriented phenotyping using collections of EMR-derived diagnoses can elucidate fundamental disease mechanisms.