Observational studies have reported inconsistent associations between circulating lipids and breast cancer risk. Using results from >400,000 participants in two-sample Mendelian randomization, we ...show that genetically raised LDL-cholesterol is associated with higher risk of breast cancer (odds ratio, OR, per standard deviation, 1.09, 95% confidence interval, 1.02-1.18, P = 0.020) and estrogen receptor (ER)-positive breast cancer (OR 1.14 1.05-1.24 P = 0.004). Genetically raised HDL-cholesterol is associated with higher risk of ER-positive breast cancer (OR 1.13 1.01-1.26 P = 0.037). HDL-cholesterol-raising variants in the gene encoding the target of CETP inhibitors are associated with higher risk of breast cancer (OR 1.07 1.03-1.11 P = 0.001) and ER-positive breast cancer (OR 1.08 1.03-1.13 P = 0.001). LDL-cholesterol-lowering variants mimicking PCSK9 inhibitors are associated (P = 0.014) with lower breast cancer risk. We find no effects related to the statin and ezetimibe target genes. The possible risk-promoting effects of raised LDL-cholesterol and CETP-mediated raised HDL-cholesterol have implications for breast cancer prevention and clinical trials.
The incremental usefulness of adding multiple biomarkers from different disease pathways for predicting the risk of death from cardiovascular causes has not, to our knowledge, been evaluated among ...the elderly.
We used data from the Uppsala Longitudinal Study of Adult Men (ULSAM), a community-based cohort of elderly men, to investigate whether a combination of biomarkers that reflect myocardial cell damage, left ventricular dysfunction, renal failure, and inflammation (troponin I, N-terminal pro-brain natriuretic peptide, cystatin C, and C-reactive protein, respectively) improved the risk stratification of a person beyond an assessment that was based on the established risk factors for cardiovascular disease (age, systolic blood pressure, use or nonuse of antihypertensive treatment, total cholesterol, high-density lipoprotein cholesterol, use or nonuse of lipid-lowering treatment, presence or absence of diabetes, smoking status, and body-mass index).
During follow-up (median, 10.0 years), 315 of the 1135 participants in our study (mean age, 71 years at baseline) died; 136 deaths were the result of cardiovascular disease. In Cox proportional-hazards models adjusted for established risk factors, all of the biomarkers significantly predicted the risk of death from cardiovascular causes. The C statistic increased significantly when the four biomarkers were incorporated into a model with established risk factors, both in the whole cohort (C statistic with biomarkers vs. without biomarkers, 0.766 vs. 0.664; P<0.001) and in the group of 661 participants who did not have cardiovascular disease at baseline (0.748 vs. 0.688, P=0.03). The improvement in risk assessment remained strong when it was estimated by other statistical measures of model discrimination, calibration, and global fit.
Our data suggest that in elderly men with or without prevalent cardiovascular disease, the simultaneous addition of several biomarkers of cardiovascular and renal abnormalities substantially improves the risk stratification for death from cardiovascular causes beyond that of a model that is based only on established risk factors.
Fibroblast growth factor-23 (FGF23), a regulator of mineral metabolism, has been linked to cardiovascular disease in chronic kidney disease. As community-based data of the longitudinal association ...between FGF23 and cardiovascular events are lacking, we investigated a possible relationship in 727 men of the Uppsala Longitudinal Study of Adult Men population-based cohort (mean age 77 years). During a median follow-up of 9.7 years, 110 participants died of cardiovascular causes. In Cox regression models adjusted for age and established cardiovascular risk factors, higher serum FGF23 was associated with a significantly increased risk for cardiovascular mortality (hazard ratio (HR) per increased s.d. of 1.36). This relationship remained significant, albeit attenuated, after adjustment for glomerular filtration rate (GFR) (HR 1.21). FGF23 was also associated with all-cause mortality, although the association was weaker than that with cardiovascular mortality, and it was nonsignificant in fully adjusted multivariate models. Spline analysis suggested a log-linear relationship between FGF23 and outcome. Participants with a combination of high FGF23 (>60pg/ml), low GFR (<60ml/min), and micro-/macro-albuminuria (albumin/creatinine ratio above 3mg/ml) had an almost eightfold increased risk compared with participants without these abnormalities. Thus, a higher FGF23 level is associated with an increased cardiovascular mortality risk in the community. Clinical trials are needed to determine whether FGF23 is a modifiable risk factor.
Chronic kidney disease (CKD) is common, but the frequency of albuminuria testing and referral to nephrology care has been difficult to measure. We here characterize CKD prevalence and recognition in ...a complete healthcare utilization cohort of the Stockholm region, in Sweden.
We included all adult individuals (n = 1 128 058) with at least one outpatient measurement of IDMS-calibrated serum creatinine during 2006-11. Estimated glomerular filtration rate (eGFR) was calculated via the CKD-EPI equation and CKD was solely defined as eGFR <60 mL/min/1.73 m
. We also assessed the performance of diagnostic testing (albuminuria), nephrology consultations, and utilization of ICD-10 diagnoses.
A total of 68 894 individuals had CKD, with a crude CKD prevalence of 6.11% 95% confidence interval (CI): 6.07-6.16% and a prevalence standardized to the European population of 5.38% (5.33-5.42%). CKD was more prevalent among the elderly (28% prevalence >75 years old), women (6.85 versus 5.24% in men), and individuals with diabetes (17%), hypertension (17%) or cardiovascular disease (31%). The frequency of albuminuria monitoring was low, with 38% of diabetics and 27% of CKD individuals undergoing albuminuria testing over 2 years. Twenty-three per cent of the 16 383 individuals satisfying selected KDIGO criteria for nephrology referral visited a nephrologist. Twelve per cent of CKD patients carried an ICD-10 diagnostic code of CKD.
An estimated 6% of the adult Stockholm population accessing healthcare has CKD, but the frequency of albuminuria testing, nephrology consultations and registration of CKD diagnoses was suboptimal despite universal care. Improving provider awareness and treatment of CKD could have a significant public health impact.
Elevated circulating copper levels have been associated with chronic kidney disease (CKD), kidney damage, and decline in kidney function. Using a two sample Mendelian randomization approach where ...copper-associated genetic variants were used as instrumental variables, genetically predicted higher circulating copper levels were associated with higher CKD prevalence (odds ratio 1.17; 95% confidence interval 1.04, 1.32;
-value = 0.009). There was suggestive evidence that genetically predicted higher copper was associated with a lower estimated glomerular filtration rate and a more rapid kidney damage decline. In conclusion, we observed that elevated circulating copper levels may be a causal risk factor for CKD.
Decreased glomerular filtration rate (GFR) is linked to poor survival. The predictive value of creatinine estimated GFR (eGFR) and cystatin C eGFR in critically ill patients may differ substantially, ...but has been less studied. This study compares long-term mortality risk prediction by eGFR using a creatinine equation (CKD-EPI), a cystatin C equation (CAPA) and a combined creatinine/cystatin C equation (CKD-EPI), in 22,488 patients treated in intensive care at three University Hospitals in Sweden, between 2004 and 2015. Patients were analysed for both creatinine and cystatin C on the same blood sample tube at admission, using accredited laboratory methods. During follow-up (median 5.1 years) 8401 (37%) patients died. Reduced eGFR was significantly associated with death by all eGFR-equations in Cox regression models. However, patients reclassified to a lower GFR-category by using the cystatin C-based equation, as compared to the creatinine-based equation, had significantly higher mortality risk compared to the referent patients not reclassified. The cystatin C equation increased C-statistics for death prediction (p < 0.001 vs. creatinine, p = 0.013 vs. combined equation). In conclusion, this data favours the sole cystatin C equation rather than the creatinine or combined equations when estimating GFR for risk prediction purposes in critically ill patients.
Abstract Background & Aims Proton pump inhibitors (PPI) have been associated with acute kidney injury (AKI) and recent studies suggest that they may be associated with the risk of chronic kidney ...disease (CKD). Methods We performed a retrospective analysis using the Stockholm creatinine measurements database, which contains information on diagnoses, dispensation claims, and laboratory test results for all citizens in the Stockholm region from 2007 through 2010. We identified new users of PPIs (n= 105305) and new users of H2 blockers (H2B; n= 9578); data on renal outcomes were collected for a median 2.7 years. The primary outcome was progression CKD, defined as doubling of creatinine or decrease in estimated glomerular filtration rate of 30% or more. Secondary outcomes were end-stage renal disease and acute kidney injury (AKI). Complete collection of repeated PPI and H2B dispensations at pharmacies in Sweden allowed modeling the time-dependent risk associated to cumulative PPI exposure. Results Users of PPIs, compared to users of H2Bs, had an increased risk for doubled levels of creatinine (1985 events; adjusted hazard ratio HR, 1.26; 95% CI, 1.05–1.51) and decrease in estimated glomerular filtration rate of 30% or more (11045 events; 1.26; 95% CI, 1.16–1.36). PPI use also associated with development of end-stage renal disease (HR, 2.40; 0.76–7.58) and AKI (HR, 1.30; 95% CI, 1.00–1.69). There was a graded association between cumulative exposure to PPIs and risk of CKD progression. This was not the case for cumulative H2B use. Conclusions Initiation of PPI therapy and cumulative PPI exposure associate with increased risk of CKD progression in a large, North European healthcare system. Although consistent, the association was modest in magnitude, and cannot exclude residual confounding.
Background A clustering of cardiovascular risk factors is denoted the metabolic syndrome (MetS), but the mechanistic underpinnings of this clustering is not clear. Using large-scale metabolomics, we ...aimed to find a metabolic profile common for all five components of MetS. Methods and findings 791 annotated non-xenobiotic metabolites were measured by ultra-performance liquid chromatography tandem mass spectrometry in five different population-based samples (Discovery samples: EpiHealth, n = 2342 and SCAPIS-Uppsala, n = 4985. Replication sample: SCAPIS-Malmö, n = 3978, Characterization samples: PIVUS, n = 604 and POEM, n = 501). MetS was defined by the NCEP/consensus criteria. Fifteen metabolites were related to all five components of MetS (blood pressure, waist circumference, glucose, HDL-cholesterol and triglycerides) at a false discovery rate of <0.05 with adjustments for BMI and several life-style factors. They represented different metabolic classes, such as amino acids, simple carbohydrates, androgenic steroids, corticosteroids, co-factors and vitamins, ceramides, carnitines, fatty acids, phospholipids and metabolonic lactone sulfate. All 15 metabolites were related to insulin sensitivity (Matsuda index) in POEM, but only Palmitoyl-oleoyl-GPE (16:0/18:1), a glycerophospholipid, was related to incident cardiovascular disease over 8.6 years follow-up in the EpiHealth sample following adjustment for cardiovascular risk factors (HR 1.32 for a SD change, 95%CI 1.07-1.63). Conclusion A complex metabolic profile was related to all cardiovascular risk factors included in MetS independently of BMI. This profile was also related to insulin sensitivity, which provide further support for the importance of insulin sensitivity as an important underlying mechanism in the clustering of cardiovascular risk factors.
Background The aim is to study common etiological pathways for 3 major cardiovascular diseases (CVD), as reflected in multiple proteins. Methods and Results Eighty‐four proteins were measured using ...the proximity extension technique in 870 participants in the PIVUS (Prospective Investigation of Uppsala Seniors Study) cohort on 3 occasions (age 70, 75, and 80 years). The sample was followed for incident myocardial infarction, ischemic stroke or heart failure. The same proteins were measured in an independent validation sample, the ULSAM (Uppsala Longitudinal Study of Adult Men) cohort in 595 participants at age 77. During a follow‐up of up to 15 years in PIVUS and 9 years in ULSAM, 222 and 167 individuals experienced a CVD. Examining associations with the 3 outcomes separately in a meta‐analysis of the 2 cohorts, 6 proteins were related to incident myocardial infarction, 25 to heart failure, and 8 proteins to ischemic stroke following adjustment for traditional risk factors. Growth differentiation factor 15 and tumor necrosis factor‐related apoptosis‐inducing ligand receptor 2 were related to all 3 CVDs. Including estimated glomerular filtration rate in the models attenuated some of these relationships. Fifteen proteins were related to a composite of all 3 CVDs using a discovery/validation approach when adjusting for traditional risk factors. A selection of 7 proteins by lasso in PIVUS improved discrimination of incident CVD by 7.3% compared with traditional risk factors in ULSAM. Conclusions We discovered and validated associations of multiple proteins with incident CVD. Only a few proteins were associated with all 3 diseases: myocardial infarction, ischemic stroke, and heart failure.
The purpose of this study was to investigate associations between combinations of body mass index (BMI) categories and metabolic syndrome (MetS) and the risk of cardiovascular disease and death in ...middle-aged men.
At age 50 years, cardiovascular risk factors were assessed in 1758 participants without diabetes in the community-based Uppsala Longitudinal Study of Adult Men (ULSAM). According to BMI-MetS status, they were categorized as normal weight (BMI <25 kg/m(2)) without MetS (National Cholesterol Education Program criteria; n=891), normal weight with MetS (n=64), overweight (BMI 25 to 30 kg/m(2)) without MetS (n=582), overweight with MetS (n=125), obese (BMI >30 kg/m(2)) without MetS (n=30), or obese with MetS (n=66). During follow-up (median 30 years), 788 participants died, and 681 developed cardiovascular disease (composite of cardiovascular death or hospitalization for myocardial infarction, stroke, or heart failure). In Cox proportional-hazards models that adjusted for age, smoking, and low-density lipoprotein cholesterol, an increased risk for cardiovascular disease was observed in normal-weight participants with MetS (hazard ratio 1.63, 95% confidence interval 1.11 to 2.37), overweight participants without MetS (hazard ratio 1.52, 95% confidence interval 1.28 to 1.80), overweight participants with MetS (hazard ratio 1.74, 95% confidence interval 1.32 to 2.30), obese participants without MetS (hazard ratio 1.95, 95% confidence interval 1.14 to 3.34), and obese participants with MetS (hazard ratio 2.55, 95% confidence interval 1.81 to 3.58) compared with normal-weight individuals without MetS. These BMI-MetS categories significantly predicted total mortality rate in a similar pattern.
Middle-aged men with MetS had increased risk for cardiovascular events and total death regardless of BMI status during more than 30 years of follow-up. In contrast to previous reports, overweight and obese individuals without MetS also had an increased risk. The present data refute the notion that overweight and obesity without MetS are benign conditions.
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