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- Semb, AG, et al.
(author)
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Lipids, myocardial infarction and ischaemic stroke in patients with rheumatoid arthritis in the Apolipoprotein-related Mortality RISk (AMORIS) Study
- 2010
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In: Annals of the rheumatic diseases. - : BMJ. - 1468-2060 .- 0003-4967. ; 69:11, s. 1996-2001
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Journal article (peer-reviewed)abstract
- To examine the rates of acute myocardial infarction (AMI) and ischaemic stroke (IS) and to examine the predictive value of total cholesterol (TC) and triglycerides (TG) for AMI and IS in patients with rheumatoid arthritis (RA) and people without RA.MethodsIn the Apolipoprotein MOrtality RISk (AMORIS) Study 480 406 people (including 1779 with RA, of whom 214 had an AMI and 165 an IS) were followed for 11.8 (range 7–17) years. Cox regression analysis was used to calculate HR per SD increase in TC or TG with 95% CI. All values were adjusted for age, diabetes and hypertension.ResultsThe levels of TC and TG were significantly lower in patients with RA than in people without RA. Despite this, the rate of AMI and IS per 1000 years was at least 1.6 times higher in RA than non-RA. TC was nearly significantly predictive for AMI (HR/SD 1.13 (95% CI 0.99 to 1.29), p=0.07) and significantly predictive for future IS in RA (HR/SD 1.20 (95% CI 1.03 to 1.40), p=0.02). TG had no relationship to development of AMI (1.07, 0.94 to 1.21, p=0.29), but was weakly related to IS (1.13, 0.99 to 1.27, p=0.06). In contrast, both TC and TG were significant predictors of AMI and IS in people without RA.ConclusionsPatients with RA had 1.6 times higher rate of AMI and IS than people without RA. TC and TG were significant predictors of AMI and IS in people without RA, whereas the predictive value in RA was not consistent.
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- Holme, I, et al.
(author)
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Cardiovascular outcomes and their relationships to lipoprotein components in patients with and without chronic kidney disease: results from the IDEAL trial
- 2010
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In: JOURNAL OF INTERNAL MEDICINE. - : Blackwell Publishing Ltd. - 0954-6820. ; 267:6, s. 567-575
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Journal article (peer-reviewed)abstract
- Cardiovascular outcomes and their relationships to lipoprotein components in patients with and without chronic kidney disease: Results from the IDEAL trial. J Intern Med 2010; 267:567-575. Objectives. In Incremental Decrease in Endpoints through Aggressive Lipid-lowering (IDEAL), we compared cardiovascular outcomes in patients with and without chronic kidney disease (CKD) (estimated glomerular filtration rate andlt; 60 mL min-1 1.73 m-2) and analysed relationships between lipoprotein components (LC) and major coronary events (MCE) and other cardiovascular (CV) events. Design. Exploratory analysis of CV endpoints in a randomized trial comparing high dose of atorvastatin to usual dose of simvastatin on MCE. Settings. Patients with CKD were compared with the non-CKD patients. Cox regression models were used to study the relationships between on-treatment levels of LC and incident MCE. Findings. Chronic kidney disease was strongly associated with cardiovascular end-points including total mortality. In patients with CKD, a significant benefit of high dose atorvastatin treatment was found for any CV events, stroke and peripheral artery disease, but not for MCE. However, all cardiovascular end-points except stroke and CV mortality were reduced in the non-CKD group. Differential changes in LC or relationships to LC could not explain the different treatment outcomes in MCE in the two groups. Interpretation. Chronic kidney disease was a powerful risk factor for all cardiovascular end-points. The reason why the significant reductions achieved by high-dose statin treatment in most CV end-points in the non-CKD group were only in part matched by similar reductions in the CKD patients is not apparent. This difference did not result from differential changes in or relations to LC, but limited power may have increased the possibility of chance findings.
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- Holme, I., et al.
(author)
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Prognostic model for total mortality in patients with haemodialysis from the Assessments of Survival and Cardiovascular Events (AURORA) study
- 2012
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In: Journal of Internal Medicine. - : Wiley. - 0954-6820 .- 1365-2796. ; 271:5, s. 463-471
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Journal article (peer-reviewed)abstract
- Objectives. Risk factors of mortality in patients with haemodialysis (HD) have been identified in several studies, but few prognostic models have been developed with assessments of calibration and discrimination abilities. We used the database of the Assessment of Survival and Cardiovascular Events study to develop a prognostic model of mortality over 34 years. Methods. Five factors (age, albumin, C-reactive protein, history of cardiovascular disease and diabetes) were selected from experience and forced into the regression equation. In a 67% random try-out sample of patients, no further factors amongst 24 candidates added significance (P < 0.01) to mortality outcome as assessed by Cox regression modelling, and individual probabilities of death were estimated in the try-out and test samples. Calibration was explored by calculating the prognostic index with regression coefficients from the try-out sample to patients in the 33% test sample. Discrimination was assessed by receiver operating characteristic (ROC) areas. Results. The strongest prognostic factor in the try-out sample was age, with small differences between the other four factors. Calibration in the test sample was good when the calculated number of deaths was multiplied by a constant of 1.33. The five-factor model discriminated reasonably well between deceased and surviving patients in both the try-out and test samples with an ROC area of about 0.73. Conclusions. A model consisting of five factors can be used to estimate and stratify the probability of death for individuals The model is most useful for long-term prognosis in an HD population with survival prospects of more than 1 year.
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- Wormser, David, et al.
(author)
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Adult height and the risk of cause-specific death and vascular morbidity in 1 million people : individual participant meta-analysis
- 2012
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In: International Journal of Epidemiology. - : Oxford University Press (OUP). - 0300-5771 .- 1464-3685. ; 41:5, s. 1419-1433
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Journal article (peer-reviewed)abstract
- BackgroundThe extent to which adult height, a biomarker of the interplay of genetic endowment and early-life experiences, is related to risk of chronic diseases in adulthood is uncertain.MethodsWe calculated hazard ratios (HRs) for height, assessed in increments of 6.5 cm, using individual-participant data on 174 374 deaths or major non-fatal vascular outcomes recorded among 1 085 949 people in 121 prospective studies.ResultsFor people born between 1900 and 1960, mean adult height increased 0.5-1 cm with each successive decade of birth. After adjustment for age, sex, smoking and year of birth, HRs per 6.5 cm greater height were 0.97 (95% confidence interval: 0.96-0.99) for death from any cause, 0.94 (0.93-0.96) for death from vascular causes, 1.04 (1.03-1.06) for death from cancer and 0.92 (0.90-0.94) for death from other causes. Height was negatively associated with death from coronary disease, stroke subtypes, heart failure, stomach and oral cancers, chronic obstructive pulmonary disease, mental disorders, liver disease and external causes. In contrast, height was positively associated with death from ruptured aortic aneurysm, pulmonary embolism, melanoma and cancers of the pancreas, endocrine and nervous systems, ovary, breast, prostate, colorectum, blood and lung. HRs per 6.5 cm greater height ranged from 1.26 (1.12-1.42) for risk of melanoma death to 0.84 (0.80-0.89) for risk of death from chronic obstructive pulmonary disease. HRs were not appreciably altered after further adjustment for adiposity, blood pressure, lipids, inflammation biomarkers, diabetes mellitus, alcohol consumption or socio-economic indicators.ConclusionAdult height has directionally opposing relationships with risk of death from several different major causes of chronic diseases.
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