Incidence rates of cardiovascular diseases are often estimated by linkage to hospital discharge and mortality registries. The validity depends on the quality of the registries and the linkage. ...Therefore, we validated incidence rates of coronary heart disease (CHD), acute myocardial infarction, unstable angina pectoris, and heart failure, estimated by this method, against the disease registry of the cardiovascular registry Maastricht cohort study. The cohort consists of 21,148 persons, born between 1927 and 1977, who were randomly sampled from Maastricht and surrounding communities in 1987-1997. Incident cases were identified by linkage to the Netherlands causes of death registry and either the hospital discharge registry (HDR) or the cardiology information system (CIS) of the University Hospital Maastricht. Sensitivities and positive predictive values were calculated using the CIS-based registry as gold standard. Relatively high sensitivities and positive predictive values were found for CHD (72 and 91%, respectively) and acute myocardial infarction (84 and 97%, respectively). These values were considerably lower for unstable angina pectoris (53 and 78%, respectively) and heart failure (43 and 80%, respectively). A substantial number of cases (14-47%) were found only in the CIS-based registry, because they were missed or miscoded in the HDR-based registry. As a consequence, the incidence rates in the HDR-based registry were considerably lower than in the CIS-based registry, especially for unstable angina pectoris and heart failure. Incidence rates based on hospital discharge and mortality data may underestimate the true incidence rates, especially for unstable angina pectoris and heart failure.
Disability-Adjusted Life Years (DALYs) have the advantage that effects on total health instead of on a specific disease incidence or mortality can be estimated. Our aim was to address several ...methodological points related to the computation of DALYs at an individual level in a follow-up study.
DALYs were computed for 33,507 men and women aged 20-70 years when participating in the EPIC-NL study in 1993-7. DALYs are the sum of the Years Lost due to Disability (YLD) and the Years of Life Lost (YLL) due to premature mortality. Premature mortality was defined as death before the estimated date of individual Life Expectancy (LE). Different methods to compute LE were compared as well as the effect of different follow-up periods using a two-part model estimating the effect of smoking status on health as an example.
During a mean follow-up of 12.4 years, there were 69,245 DALYs due to years lived with a disease or premature death. Current-smokers had lost 1.28 healthy years of their life (1.28 DALYs 95%CI 1.10; 1.46) compared to never-smokers. The outcome varied depending on the method used for estimating LE, completeness of disease and mortality ascertainment and notably the percentage of extinction (duration of follow-up) of the cohort.
We conclude that the use of DALYs in a cohort study is an appropriate way to assess total disease burden in relation to a determinant. The outcome is sensitive to the LE calculation method and the follow-up duration of the cohort.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Abstract Background Plasma total cholesterol (TC) levels are highly genetically determined. Although ample evidence of genetic determination of separate lipoprotein cholesterol levels has been ...reported, using TC level directly as a phenotype in a relatively large broad-gene based association study has not been reported to date. Methods and results We genotyped 361 single nucleotide polymorphisms (SNPs) across 243 genes based on pathways potentially relevant to cholesterol metabolism in 3575 subjects that were examined thrice over 11 years. Twenty-three SNPs were associated with TC levels after adjustment for multiple testing. We used 12 of them (rs7412 and rs429358 in APOE, rs646776 in CELSR2, rs1367117 in APOB, rs6756629 in ABCG5, rs662799 in APOA5, rs688 in LDLR, rs10889353 in DOCK7, rs2304130 in NCAN, rs3846662 in HMGCR, rs2275543 in ABCA1, rs7275 in SMARCA4) that were confirmed in previous candidate association or genome-wide-association studies to define a gene risk score (GRS). Average TC levels increased from 5.23 ± 0.82 mmol/L for those with 11 or less cholesterol raising alleles to 6.03 ± 1.11 mmol/L for those with 18 or more ( P for trend < 0.0001). The association with TC levels was slightly stronger when the weighted GRS that weighted the magnitude of allelic effects was used. Conclusion A panel of common genetic variants in the genes pivotal in cholesterol metabolism could possibly help identify those people who are at risk of high cholesterol levels.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, PNG, SAZU, SBCE, SBJE, UL, UM, UPUK
Purpose
A healthy diet may contribute to the primary prevention of heart failure (HF), but evidence is still inconclusive. We aimed to study the association between adherence to the Dutch dietary ...guidelines and incidence of HF.
Methods
We studied 37,468 participants aged 20–70 years and free of HF at baseline from the EPIC-NL cohort. At baseline (1993–1997), data were collected on demographics, lifestyle, and presence of chronic diseases. Dietary intake was assessed using a 178-item validated food frequency questionnaire. Dietary intake data were used to calculate scores on the Dutch Healthy Diet 2015 Index (DHD15-index) measuring adherence to the Dutch dietary guidelines. The DHD15-index is based on the average daily intake of 14 food groups resulting in a total score ranging between 0 and 140, with higher scores indicating better adherence. HF morbidity and mortality during follow-up were ascertained through linkage with national registries. Cox proportional hazards analysis was used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs) for the association between DHD15 adherence and HF risk, adjusting for sociodemographic and lifestyle characteristics.
Results
The average score on the DHD15-index was 71 (SD = 15). During a median follow-up of 15.2 years (IQR 14.1–16.5), 674 HF events occurred. After adjustment for demographic and lifestyle characteristics, higher scores on the DHD15-index were associated with lower risk of HF (HR
Q4vsQ1
0.73; 95% CI 0.58–0.93;
P
trend
0.001).
Conclusion
In a large Dutch population of middle-aged adults, higher adherence to the Dutch dietary guidelines was associated with lower risk of HF.
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DOBA, EMUNI, FIS, FSPLJ, FZAB, GEOZS, GIS, IJS, IMTLJ, IZUM, KILJ, KISLJ, MFDPS, NLZOH, NUK, OBVAL, OILJ, PILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, SIK, UILJ, UKNU, UL, UM, UPUK, VKSCE, VSZLJ, ZAGLJ
BACKGROUND: The δ-5 and δ-6 desaturases, encoded by the FADS1 and FADS2 genes, are rate-limiting enzymes in polyunsaturated fatty acid (PUFA) biosynthesis. Single nucleotide polymorphisms in the FADS ...gene cluster region have been associated with both PUFA concentrations in plasma or erythrocyte membrane phospholipids and cholesterol concentrations in recent genome-wide association studies. OBJECTIVE: We examined whether genetic variations in the FADS gene cluster region interact with dietary intakes of n-3 (omega-3) and n-6 (omega-6) PUFAs to affect plasma total, HDL-, and non-HDL-cholesterol concentrations. DESIGN: Dietary intakes of n-3 and n-6 PUFAs, plasma concentrations of total and HDL cholesterol, and rs174546, rs482548, and rs174570 in the FADS gene cluster region were measured in 3575 subjects in the second survey of the Doetinchem Cohort Study. RESULTS: Significant associations between rs174546 genotypes and total and non-HDL-cholesterol concentrations were observed in the group with a high intake of n-3 PUFAs (≥0.51% of total energy; P = 0.006 and 0.047, respectively) but not in the low-intake group (P for interaction = 0.32 and 0.51, respectively). The C allele was associated with high total and non-HDL-cholesterol concentrations. Furthermore, the C allele was significantly associated with high HDL-cholesterol concentrations in the group with a high intake of n-6 PUFAs (≥5.26% of total energy, P = 0.004) but not in the group with a low intake (P for interaction = 0.02). CONCLUSION: Genetic variation in the FADS1 gene potentially interacts with dietary PUFA intakes to affect plasma cholesterol concentrations, which should be investigated further in other studies.
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CMK, GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
BACKGROUND: In cohort studies, often only one baseline measurement of dietary intake is available. This may underestimate the strength of the association with cardiovascular diseases (CVD). ...OBJECTIVE: The main objective is to compare the strength of the association of a Mediterranean style diet with CVD using one baseline measurement of diet versus three repeated measurements over a 10-year period. DESIGN: We used dietary and lifestyle data of three rounds of the Doetinchem Cohort Study. At baseline, 7,769 persons aged 20–65 years were examined. Diet was assessed with a 178 item validated food-frequency questionnaire and operationalized with the Mediterranean Diet Score (MDS) ranging from 0 to 9. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95 % confidence intervals (CI). Analyses were adjusted for age, sex, and repeated measurements of smoking, sports, total energy intake, and educational level. RESULTS: Comparing an MDS of ≥5.5–9 to an MDS of 0–<3.5, baseline MDS was associated with a 23 % lower risk HR 0.77 (95 % CI 0.53–1.11) and the updated mean with a 35 % lower risk HR 0.65 (0.43–0.97) of a composite of fatal CVD, nonfatal myocardial infarction, and stroke (composite CVD). For fatal CVD, baseline MDS was associated with a 13 % lower risk HR 0.87 (0.36–2.07) and the updated mean with a 56 % lower risk HR 0.44 (0.19–1.05). CONCLUSION: The strength of the association between a Mediterranean style diet and CVD is likely underestimated because most studies so far used only one baseline measurement.
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DOBA, EMUNI, FIS, FSPLJ, FZAB, GEOZS, GIS, IJS, IMTLJ, IZUM, KILJ, KISLJ, MFDPS, NLZOH, NUK, OBVAL, OILJ, PILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, SIK, UILJ, UKNU, UL, UM, UPUK, VKSCE, VSZLJ, ZAGLJ
Background
We evaluated the ability of 23 novel biomarkers representing several pathophysiological pathways to improve the prediction of cardiovascular event (CVE) risk in patients with type 2 ...diabetes mellitus beyond traditional risk factors.
Methods and Results
We used data from 1002 patients with type 2 diabetes mellitus from the Second Manifestations of ARTertial disease (SMART) study and 288 patients from the European Prospective Investigation into Cancer and Nutrition‐NL (EPIC‐NL). The associations of 23 biomarkers (adiponectin, C‐reactive protein, epidermal‐type fatty acid binding protein, heart‐type fatty acid binding protein, basic fibroblast growth factor, soluble FMS‐like tyrosine kinase‐1, soluble intercellular adhesion molecule‐1 and ‐3, matrix metalloproteinase MMP‐1, MMP‐3, MMP‐9, N‐terminal prohormone of B‐type natriuretic peptide, osteopontin, osteonectin, osteocalcin, placental growth factor, serum amyloid A, E‐selectin, P‐selectin, tissue inhibitor of MMP‐1, thrombomodulin, soluble vascular cell adhesion molecule‐1, and vascular endothelial growth factor) with CVE risk were evaluated by using Cox proportional hazards analysis adjusting for traditional risk factors. The incremental predictive performance was assessed with use of the c‐statistic and net reclassification index (NRI; continuous and based on 10‐year risk strata 0–10%, 10–20%, 20–30%, >30%). A multimarker model was constructed comprising those biomarkers that improved predictive performance in both cohorts. N‐terminal prohormone of B‐type natriuretic peptide, osteopontin, and MMP‐3 were the only biomarkers significantly associated with an increased risk of CVE and improved predictive performance in both cohorts. In SMART, the combination of these biomarkers increased the c‐statistic with 0.03 (95% CI 0.01–0.05), and the continuous NRI was 0.37 (95% CI 0.21–0.52). In EPIC‐NL, the multimarker model increased the c‐statistic with 0.03 (95% CI 0.00–0.03), and the continuous NRI was 0.44 (95% CI 0.23–0.66). Based on risk strata, the NRI was 0.12 (95% CI 0.03–0.21) in SMART and 0.07 (95% CI −0.04–0.17) in EPIC‐NL.
Conclusions
Of the 23 evaluated biomarkers from different pathophysiological pathways, N‐terminal prohormone of B‐type natriuretic peptide, osteopontin, MMP‐3, and their combination improved CVE risk prediction in 2 separate cohorts of patients with type 2 diabetes mellitus beyond traditional risk factors. However, the number of patients reclassified to a different risk stratum was limited.
Background: Several methods are used to determine dietary patterns. Hybrid methods incorporate information on nutrient intake or biological factors to extract patterns relevant to disease etiology. ...Objective: We explore differences between patterns derived with 2 hybrid methods with those obtained by a posteriori methods and compare associations of these patterns with coronary artery disease (CAD) and stroke risk. Design: Food-frequency questionnaires were used to estimate dietary intake in 34,644 participants of European Prospective Investigation into Cancer–Netherlands at baseline (1993–1997). Follow-up was complete until 31 December 2007. Hybrid methods to determine dietary patterns were reduced rank regression (RRR) and random forest with classification tree analysis (RF-CTA). Included risk factors were body mass index, total:high-density lipoprotein cholesterol ratio, and systolic blood pressure. Results were compared with those from principal component analysis (PCA) and k-means cluster analysis (KCA), respectively. Results: Both RRR and PCA derived a “Western,” “prudent,” and “traditional pattern.” All RRR patterns were significantly associated with CAD risk highest vs. lowest quartile factor score; HR: 1.45 (95% CI: 1.25, 1.69), 0.86 (0.74, 0.99), and 1.25 (1.07, 1.47), respectively. Only the prudent RRR factor was statistically significant associated with stroke (HR: 0.76; 95% CI: 0.59, 0.97). From the PCA patterns, only the traditional pattern was associated with CAD (HR: 1.29; 95% CI: 1.11, 1.50). RF-CTA derived 7 dietary patterns that could be categorized as “Western-like,” “prudent-like,” and “traditional-like.” KCA established a prudent and Western cluster. Compared with the RF-CTA “prudent-like 1” pattern, only the “traditional-like 1” pattern was associated with CAD (HR: 1.36; 955 CI: 1.12, 1.65). None of the RF-CTA groups were associated with stroke. Compared with the Western KCA cluster, the prudent cluster was not associated with CAD or stroke. Conclusion: Including risk factors in RRR and RF-CTA resulted in small differences in food groups, contributing to similar patterns that showed in general stronger associations with CAD than PCA and KCA, respectively.
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CMK, GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Background: Several studies have shown that adherence to the Mediterranean Diet measured by using the Mediterranean diet score (MDS) is associated with lower obesity risk. The newly proposed Nordic ...Diet could hold similar beneficial effects. Because of the increasing focus on the interaction between diet and genetic predisposition to adiposity, studies should consider both diet and genetics.Objective: We investigated whether FTO rs9939609 and TCF7L2 rs7903146 modified the association between the MDS and Nordic diet score (NDS) and changes in weight (Δweight), waist circumference (ΔWC), and waist circumference adjusted for body mass index (BMI) (ΔWCBMI).Design: We conducted a case-cohort study with a median follow-up of 6.8 y that included 11,048 participants from 5 European countries; 5552 of these subjects were cases defined as individuals with the greatest degree of unexplained weight gain during follow-up. A randomly selected subcohort included 6548 participants, including 5496 noncases. Cases and noncases were compared in analyses by using logistic regression. Continuous traits (ie, Δweight, ΔWC, and ΔWCBMI) were analyzed by using linear regression models in the random subcohort. Interactions were tested by including interaction terms in models.Results: A higher MDS was significantly inversely associated with case status (OR: 0.98; 95% CI: 0.96, 1.00), ΔWC (β = −0.010 cm/y; 95% CI: −0.020, −0.001 cm/y), and ΔWCBMI (β = −0.008; 95% CI:−0.015, −0.001) per 1-point increment but not Δweight (P = 0.53). The NDS was not significantly associated with any outcome. There was a borderline significant interaction between the MDS and TCF7L2 rs7903146 on weight gain (P = 0.05), which suggested a beneficial effect of the MDS only in subjects who carried 1 or 2 risk alleles. FTO did not modify observed associations.Conclusions: A high MDS is associated with a lower ΔWC and ΔWCBMI, regardless of FTO and TCF7L2 risk alleles. For Δweight, findings were less clear, but the effect may depend on the TCF7L2 rs7903146 variant. The NDS was not associated with anthropometric changes during follow-up.
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CMK, GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
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