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Context: How best to identify families with premature myocardial infarction is unclear., Objective: We compared approaches to identify familial premature myocardial infarction in the general population using different familial hypercholesterolemia (FH) criteria and low-density lipoprotein (LDL) cholesterol cut-points., Design and Setting: Clinical and mutation criteria for FH and LDL cholesterol cut-points were applied for identification of familial premature myocardial infarction in 106,732 individuals from the Copenhagen General Population Study., Results: FH criteria identified 898 (13%) cases with familial premature myocardial infarction, leaving 5856 (87%) cases undetected. The ORs for familial premature myocardial infarction, compared with the respective remainder groups, were 4.7 (95% CI, 3.7 to 6.0) for clinical FH by Dutch Lipid Clinic Network criteria, 4.4 (4.0 to 4.7) for Simon Broome criteria, 2.1 (95% CI, 1.7 to 3.6) for Make Early Diagnosis to Prevent Early Death criteria, 2.1 (95% CI, 1.4 to 3.3) for FH mutation, and 1.4 (95% CI, 1.3 to1.6) for LDL cholesterol ≥5 mmol/L (193 mg/dL). For these risk groups, the sensitivity (true positive rate) for identification of familial premature myocardial infarction were 1.3%, 13%, 1.6%, 0.9%, and 7.1%, respectively. Compared with universal screening of a similar fraction of the population, the relative increase in sensitivity for these risk groups was 3.8-fold [fraction of population examined: 0.3%, 3.3-fold (4%), 2.0-fold (0.8%), 2.0-fold (0.4%), and 1.4-fold (5.3%), respectively]., Conclusion: Criteria for FH identify a small fraction of individuals with familial premature myocardial infarction in the general population. Actively identifying families with premature myocardial infarction would be of potential preventive importance, and this study provides data that could be used to choose the best method for such family identification., (Copyright © 2019 Endocrine Society.)

Context: Individuals with familial hypercholesterolemia (FH) have a high risk of coronary artery disease, but their risk of peripheral arterial disease (PAD) and chronic kidney disease (CKD) is unknown., Objective: In individuals with clinical FH, we tested the hypotheses (1) that the risks of PAD and CKD are elevated and (2) that low ankle-brachial index (ABI) and estimated glomerular filtration rate (eGFR) are associated with a high risk of myocardial infarction., Design and Setting: Prospective cohort study of the general population., Participants: A total of 106,172 individuals, of whom 7109 were diagnosed with FH., Main Outcome Measures: PAD, CKD, and myocardial infarction., Results: Compared with individuals with unlikely FH, multivariable adjusted ORs (95% CIs) of PAD were 1.84 (1.70 to 2.00) in those with possible FH and 1.36 (1.00 to 1.84) in individuals with probable/definite FH. For CKD, the corresponding ORs (95% CIs) were 1.92 (1.78 to 2.07) and 2.42 (1.86 to 3.26). Compared with individuals with unlikely FH and ABI >0.9, the multivariable adjusted hazard ratio (95% CI) of myocardial infarction was 4.60 (2.36 to 8.97) in those with possible/probable/definite FH and ABI ≤0.9. Compared with individuals with unlikely FH and eGFR ≥60 mL/min/1.73 m2, the corresponding value was 2.19 (1.71 to 2.82) in those with possible/probable/definite FH and eGFR <60 mL/min/1.73 m2., Conclusions: Individuals with clinical FH have increased risks of PAD and CKD, and low ABI and eGFR are associated with high risk of myocardial infarction. Consequently, individuals with FH should be screened for PAD and CKD, and ABI and eGFR may be used as prognostic tools in the management and treatment of FH to identify those at very high risk of myocardial infarction.

Background: We tested whether high remnant cholesterol is associated with high myocardial infarction risk, independent of whether an individual is normal weight, overweight, or obese., Methods: A total of 106216 individuals from the Copenhagen General Population Study were followed for up to 11 years, during which 1565 experienced a myocardial infarction. Individuals were grouped by clinically meaningful remnant cholesterol concentrations of <0.5 mmol/L (19 mg/dL), 0.5 to 0.99 mmol/L (19-38 mg/dL), 1.0 to 1.49 mmol/L (39-58 mg/dL), and ≥1.5 mmol/L (58 mg/dL), and by body mass index (BMI) of <18.5 kg/m 2 (underweight), 18.5 to 24.9 kg/m 2 (normal weight), 25 to 29.9 kg/m 2 (overweight), and ≥30 kg/m 2 (obese)., Results: Median calculated remnant cholesterol was 0.40 mmol/L [interquartile range (IQR), 0.30-0.55 mmol/L] [15 mg/dL (12-21 mg/dL)] for underweight, 0.50 mmol/L (IQR, 0.37-0.71 mmol/L) [19 mg/dL (14-27 mg/dL)] for normal weight, 0.70 mmol/L (IQR, 0.49-1.00 mmol/L) [27 mg/dL (19-39 mg/dL)] for overweight, and 0.85 mmol/L (IQR, 0.61-1.20 mmol/L) [(33 mg/dL (24-46 mg/dL)] for obese individuals. On continuous scales, remnant cholesterol was positively correlated with BMI until reaching a plateau of approximately 1 mmol/L (39 mg/dL) at BMI >35 kg/m 2 . R from an unadjusted linear regression for the correlation between calculated remnant cholesterol and BMI was 12%. Stepwise higher remnant cholesterol was associated with stepwise higher myocardial infarction risk in a similar pattern for normal weight, overweight, and obese individuals. When compared with individuals with remnant cholesterol <0.5 mmol/L (19 mg/dL), individuals with remnant cholesterol ≥1.5 mmol/L (58 mg/dL) had hazard ratios for myocardial infarction of 2.0 (95% CI, 1.3-3.2) for normal weight, 1.9 (95% CI, 1.4-2.6) for overweight, and 2.3 (95% CI, 1.4-3.5) for obese individuals. Directly measured remnant cholesterol increased 0.91 mmol/L (95% CI, 0.89-0.94 mmol/L) [35 mg/dL (34-36 mg/dL)] per 1 mmol/L (39 mg/dL) increase in calculated remnant cholesterol.2 from an unadjusted linear regression for the correlation between calculated remnant cholesterol and BMI was 12%. Stepwise higher remnant cholesterol was associated with stepwise higher myocardial infarction risk in a similar pattern for normal weight, overweight, and obese individuals. When compared with individuals with remnant cholesterol <0.5 mmol/L (19 mg/dL), individuals with remnant cholesterol ≥1.5 mmol/L (58 mg/dL) had hazard ratios for myocardial infarction of 2.0 (95% CI, 1.3-3.2) for normal weight, 1.9 (95% CI, 1.4-2.6) for overweight, and 2.3 (95% CI, 1.4-3.5) for obese individuals. Directly measured remnant cholesterol increased 0.91 mmol/L (95% CI, 0.89-0.94 mmol/L) [35 mg/dL (34-36 mg/dL)] per 1 mmol/L (39 mg/dL) increase in calculated remnant cholesterol., Conclusions: Remnant cholesterol and BMI were positively correlated; however, high remnant cholesterol was associated with higher myocardial infarction risk across the examined BMI subcategories, indicating that remnant cholesterol is a risk factor for myocardial infarction independent of overweight and obesity., (© 2017 American Association for Clinical Chemistry.)

Objective: High lipoprotein(a) (Lp[a]) is the most common genetic dyslipidemia and is a causal factor for myocardial infarction (MI) and aortic stenosis (AS). We sought to estimate the population impact of Lp(a) lowering that could be achieved in primary prevention using the therapies in development., Approach and Results: We used published data from 2 prospective cohorts. High Lp(a) was defined as ≥50 mg/dL (≈20th percentile). Relative risk, attributable risk, the attributable risk percentage, population attributable risk, and the population attributable risk percentage were calculated as measures of the population impact. For MI, the event rate was 4.0% versus 2.8% for high versus low Lp(a) (relative risk, 1.46; 95% confidence interval [CI], 1.45-1.46). The attributable risk was 1.26% (95% CI, 1.24-1.27), corresponding to 31.3% (95% CI, 31.0-31.7) of the excess MI risk in those with high Lp(a). The population attributable risk was 0.21%, representing a population attributable risk percentage of 7.13%. For AS, the event rate was 1.51% versus 0.78% for high versus low Lp(a) (relative risk, 1.95; 95% CI, 1.94-1.97). The attributable risk was 0.74% (95% CI, 0.73-0.75), corresponding to 48.8% (95% CI, 48.3-49.3) of the excess AS risk in those with high Lp(a). The population attributable risk was 0.13%, representing a population attributable risk percentage of 13.9%. In sensitivity analyses targeting the top 10% of Lp(a), the population attributable risk percentage was 5.2% for MI and 7.8% for AS., Conclusions: Lp(a) lowering among the top 20% of the population distribution for Lp(a) could prevent 1 in 14 cases of MI and 1 in 7 cases of AS, suggesting a major impact on reducing the burden of cardiovascular disease. Targeting the top 10% could prevent 1 in 20 MI cases and 1 in 12 AS cases., (© 2016 American Heart Association, Inc.)

Context: It is unknown whether elevated lipoprotein(a) is causally associated with low-grade inflammation., Objective: We tested the hypothesis that elevated lipoprotein(a) is observationally and causally associated with low-grade inflammation together with aortic valve stenosis and myocardial infarction., Design and Setting: Using a multidirectional Mendelian randomization approach, we studied 100,578 individuals from the Danish general population with plasma levels of and/or genotypes known to affect levels of lipoprotein(a) and C-reactive protein (CRP), and using information regarding diagnosis of aortic valve stenosis and of myocardial infarction (MI) from registries., Results: Observationally, CRP increased by 29% (95% confidence interval [CI], 23-34) per 50-mg/dL increase in lipoprotein(a). However, two LPA single nucleotide polymorphisms (SNPs) and the kringle IV type 2 (KIV-2) genotype that were associated with 98, 95, and 68 mg/dL higher lipoprotein(a) levels were not causally associated with increased CRP levels. For aortic valve stenosis, a 1-SD increase in lipoprotein(a) levels was associated observationally with a multifactorially adjusted hazard ratio of 1.23 (95% CI, 1.06-1.41), with corresponding causal risk ratios of 1.38 (1.23-1.55) based on LPA SNPs and of 1.21 (1.06-1.40) based on LPA KIV-2 genotype. For myocardial infarction, corresponding values were 1.20 (1.10;1.31) observationally, and 1.18 (1.11;1.26) and 1.31 (1.22;1.42) causally, respectively. Observational hazard ratios for aortic valve stenosis and MI were similar after further adjustment for CRP levels., Conclusions: Elevated levels of lipoprotein(a) were not causally associated with increased low-grade inflammation as measured through CRP despite a causal association with increased risk of aortic valve stenosis and MI.

Background: Sun exposure is the single most important risk factor for skin cancer, but sun exposure may also have beneficial effects on health. We tested the hypothesis that individuals with skin cancer (non-melanoma skin cancer and cutaneous malignant melanoma) have less myocardial infarction, hip fracture and death from any cause, compared with general population controls., Methods: We examined the entire Danish population above age 40 years from 1980 through 2006, comprising 4.4 million individuals. Diagnoses of non-melanoma skin cancer (n=129,206), cutaneous malignant melanoma (n=22,107), myocardial infarction (n=327,856), hip fracture (n=129,419), and deaths from any cause (n=1,629,519) were drawn from national registries., Results: In individuals with vs without non-melanoma skin cancer, multifactorially adjusted odds ratios were 0.96 (95% confidence interval: 0.94-0.98) for myocardial infarction and 1.15 (1.12-1.18) for hip fracture, and the multifactorially adjusted hazard ratio was 0.52 (0.52-0.53) for death from any cause. Risk of hip fracture was reduced (odds ratios were below 1.0) in individuals below age 90 years. In individuals with vs without cutaneous malignant melanoma, corresponding odds ratios were 0.79 (0.74-0.84) for myocardial infarction and 0.84 (0.76-0.93) for hip fracture, and the corresponding hazard ratio for death from any cause was 0.89 (0.87-0.91); however, cutaneous malignant melanoma was associated positively with death from any cause in some individuals., Conclusions: In this nationwide study, having a diagnosis of skin cancer was associated with less myocardial infarction, less hip fracture in those below age 90 years and less death from any cause. Causal conclusions cannot be made from our data. A beneficial effect of sun exposure per se needs to be examined in other studies.

Background: ABO blood type locus has been reported to be an important genetic determinant of venous and arterial thrombosis in genome-wide association studies. We tested the hypothesis that ABO blood type alone and in combination with mutations in factor V Leiden R506Q and prothrombin G20210A is associated with the risk of venous thromboembolism and myocardial infarction in the general population., Methods: We used data from 2 Danish studies that followed members of the general public from 1977 through 2010. We obtained the genotype of 66 001 white participants for ABO blood type, factor V Leiden R506Q and prothrombin G20210A. We calculated hazard ratios (HRs) and population attributable risk. Our main outcome measures were venous thromboembolism and myocardial infarction., Results: The multivariable adjusted HR for venous thromboembolism was 1.4 (95% confidence interval [CI] 1.3-1.5) for non-O blood type (v. O blood type). For the factor V Leiden R506Q mutation, the adjusted HR was 2.2 (95% CI 2.0-2.5) for heterozygous participants and 7.0 (95%CI 4.8-10) for homozygous participants (v. participants without the mutation). For prothrombin G20210A, the adjusted HR was 1.5 (95%CI 1.2-1.9) for heterozygous participants and 11 (95% CI 2.8-44) for homozygous participants (v. participants without the mutation). When we combined ABO blood type and factor V Leiden R506Q or prothrombin G20210A genotype, there was a stepwise increase in the risk of venous thromboembolism (trend, p<0.001). The population attributable risk of venous thromboembolism was 20% for ABO blood type, 10% for factor V Leiden R506Q and 1% for prothrombin G20210A. Multivariable adjusted HRs for myocardial infarction by genotypes did not differ from 1.0., Interpretation: ABO blood type had an additive effect on the risk of venous thromboembolism when combined with factor V Leiden R506Q and prothrombin G20210A mutations; blood type was the most important risk factor for venous thromboembolism in the general population.

Objective: We tested the hypothesis that short telomere length is associated with increased risk of myocardial infarction, ischemic heart disease, and early death., Methods and Results: We measured leukocyte telomere length in 2 prospective studies of 19 838 Danish general population participants from the Copenhagen City Heart Study and the Copenhagen General Population Study. Participants were followed for up to 19 years for incident myocardial infarction (n=929), ischemic heart disease (n=2038), and death (n=4342). Follow-up was 100% complete. Telomere length decreased linearly with increasing age in women and men in both studies (P=7×10(-74) to P=3×10(-125)). Multifactorially adjusted hazard ratios were 1.10 (95% CI 1.01-1.19) for myocardial infarction, 1.06 (1.00-1.11) for ischemic heart disease, and 1.09 (1.05-1.13) for early death per 1000-base pair decrease in telomere length. The multifactorially adjusted hazard ratios for the shortest versus the longest decile of telomere length were 1.49 (1.07-2.07) for myocardial infarction, 1.24 (1.01-1.53) for ischemic heart disease, and 1.25 (1.07-1.46) for early death., Conclusion: Short telomere length is associated with only modestly increased risk of myocardial infarction, ischemic heart disease, and early death.

Aims: Myocardial infarction is nominally the most important co-morbidity in patients with chronic obstructive pulmonary disease, and the one with the greatest potential for treatment and prevention to improve the overall prognosis of chronic obstructive pulmonary disease patients. We assessed the extent of myocardial infarction and other co-morbidities in individuals with chronic obstructive pulmonary disease in the general population., Methods and Results: We used individual participant data for the entire Danish population from 1980 through 2006, comprising 140 million person-years of follow-up. We used information from four national Danish registries with 100% follow-up and detected ever-diagnosed chronic obstructive pulmonary disease (n = 313,958) and incident cases of a first myocardial infarction (n = 422,344), lung cancer (n = 116,629), hip fracture (n = 53,756), depression (n = 93 038), and diabetes mellitus (n = 292 228). Multivariate adjusted hazard ratios for life-time association with ever-diagnosed chronic obstructive pulmonary disease were 1.26 (95% CI 1.25-1.27) for myocardial infarction, 2.05 (2.03-2.08) for lung cancer, 2.12 (2.07-2.17) for hip fracture, 1.74 (1.70-1.77) for depression, and 1.21 (1.20-1.23) for diabetes mellitus, compared with controls; these risk estimates were highest in women and the youngest age groups. Before the first hospitalization with chronic obstructive pulmonary disease, multivariate adjusted odds ratios were 1.47 (1.44-1.49) for myocardial infarction, 3.68 (3.52-3.84) for lung cancer, 1.16 (1.13-1.18) for hip fracture, 1.88 (1.80-1.96) for depression, and 1.16 (1.13-1.18) for diabetes mellitus, compared with matched controls. Corresponding values after a chronic obstructive pulmonary disease hospitalization were 0.74 (0.73-0.76), 1.48 (1.45-1.51), 1.23 (1.20-1.27), 1.21 (1.18-1.24), and 0.83 (0.81-0.85), respectively., Conclusion: Chronic obstructive pulmonary disease was associated with higher rates of myocardial infarction, lung cancer, diabetes, hip fracture, and depression, but the strength of these associations was modified after a first admission for chronic obstructive pulmonary disease. These associations may be related to common genetic and/or lifestyle/environmental risk factors, and therefore these factors are likely to have an adverse health impact rather than chronic obstructive pulmonary disease per se.

Background: Elevated lipoprotein(a) levels are associated with myocardial infarction (MI) in some but not all studies. Limitations of previous studies include lack of risk estimates for extreme lipoprotein(a) levels, measurements in long-term frozen samples, no correction for regression dilution bias, and lack of absolute risk estimates in the general population. We tested the hypothesis that extreme lipoprotein(a) levels predict MI in the general population, measuring levels shortly after sampling, correcting for regression dilution bias, and calculating hazard ratios and absolute risk estimates., Methods and Results: We examined 9330 men and women from the general population in the Copenhagen City Heart Study. During 10 years of follow-up, 498 participants developed MI. In women, multifactorially adjusted hazard ratios for MI for elevated lipoprotein(a) levels were 1.1 (95% CI, 0.6 to 1.9) for 5 to 29 mg/dL (22nd to 66th percentile), 1.7 (1.0 to 3.1) for 30 to 84 mg/dL (67th to 89th percentile), 2.6 (1.2 to 5.9) for 85 to 119 mg/dL (90th to 95th percentile), and 3.6 (1.7 to 7.7) for > or =120 mg/dL (>95th percentile) versus levels <5 mg/dL (<22nd percentile). Equivalent values in men were 1.5 (0.9 to 2.3), 1.6 (1.0 to 2.6), 2.6 (1.2 to 5.5), and 3.7 (1.7 to 8.0). Absolute 10-year risks of MI were 10% and 20% in smoking, hypertensive women aged >60 years with lipoprotein(a) levels of <5 and > or =120 mg/dL, respectively. Equivalent values in men were 19% and 35%., Conclusions: We observed a stepwise increase in risk of MI with increasing levels of lipoprotein(a), with no evidence of a threshold effect. Extreme lipoprotein(a) levels predict a 3- to 4-fold increase in risk of MI in the general population and absolute 10-year risks of 20% and 35% in high-risk women and men.

Background: Plasma apolipoprotein B (apoB) is a composite measure of all apoB-containing lipoproteins causing atherosclerotic cardiovascular disease; however, it is unclear which fraction of risk is explained by cholesterol and triglycerides, respectively, in very low-density lipoproteins (VLDLs).Objectives: The authors tested the hypothesis that VLDL cholesterol and triglycerides each explain part of the myocardial infarction risk from apoB-containing lipoproteins.Methods: Nested within 109,751 individuals from the Copenhagen General Population Study, the authors examined 25,480 subjects free of lipid-lowering therapy and myocardial infarction at study entry. All had measurements of plasma apoB (quantitating number of apoB-containing lipoproteins) and cholesterol and triglyceride content of VLDL, intermediate-density lipoproteins (IDLs), and low-density lipoproteins (LDLs).Results: During a median 11 years of follow-up, 1,816 were diagnosed with myocardial infarction. Per 1-mmol/l higher levels, multivariable-adjusted hazard ratios for myocardial infarction were 2.07 (95% confidence interval [CI]: 1.81 to 2.36) for VLDL cholesterol, 1.19 (95% CI: 1.14 to 1.25) for VLDL triglycerides, 5.38 (95% CI: 3.73 to 7.75) for IDL cholesterol, and 1.86 (95% CI: 1.62 to 2.14) for LDL cholesterol. Per 1-g/l higher plasma apoB, the corresponding value was 2.21 (95% CI: 1.90 to 2.58). In a step-up Cox regression, risk factors for myocardial infarction entered by importance as VLDL cholesterol, systolic blood pressure, smoking, and IDL + LDL cholesterol, whereas VLDL triglycerides did not enter the model. VLDL cholesterol explained 50% and IDL + LDL cholesterol 29% of the risk of myocardial infarction from apoB-containing lipoproteins, whereas VLDL triglycerides did not explain risk.Conclusions: VLDL cholesterol explained one-half of the myocardial infarction risk from elevated apoB-containing lipoproteins, whereas VLDL triglycerides did not explain risk. [ABSTRACT FROM AUTHOR]