| 1. |
- Nerpin, Elisabet, et al.
(författare)
-
The combined contribution of albuminuria and glomerular filtration rate to the prediction of cardiovascular mortality in elderly men
- 2011
-
Ingår i: Nephrology, Dialysis and Transplantation. - : Oxford University Press (OUP). - 0931-0509 .- 1460-2385. ; 26:9, s. 2820-2827
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Cardiovascular risk prediction is particularly important in the primary prevention of cardiovascular disease (CVD). Yet, data on whether the combined addition of albuminuria and estimated glomerular filtration rate (eGFR) improves cardiovascular risk prediction in individuals without CVD in the community is scarce.METHODS: We investigated associations between urinary albumin excretion rate (UAER), cystatin C-based eGFR and cardiovascular mortality in a community-based cohort of elderly men (ULSAM study; n = 1113, mean age 71 years, 208 cardiovascular deaths, median follow-up 12.9 years) with prespecified analyses in participants without CVD (n = 649, 86 cardiovascular deaths).RESULTS: Using multivariable Cox regression, higher UAER and lower eGFR were associated with increased risk for cardiovascular mortality independently of established cardiovascular risk factors in the whole sample and in men without CVD at baseline [subsample without CVD: UAER; hazard ratio (HR) per 1 SD 1.26, 95% confidence interval (CI) 1.05-1.51, P = 0.01; eGFR: HR per 1 SD 0.74, 95% CI 0.59-0.92, P = 0.007]. Analyses of model discrimination, calibration, reclassification and global fit suggested that UAER and eGFR also add relevant prognostic information beyond established cardiovascular risk factors in participants without prevalent CVD. Interestingly, established cutoffs used to diagnose microalbuminuria (UAER > 20 μg/min) and chronic kidney disease Stage 3 (eGFR < 60 mL/min/1.73m(2)), appeared less suitable for cardiovascular risk prediction [integrated discrimination improvement (IDI) 0.006, P = 0.11], while cutoffs UAER > 6 μg/min and eGFR < 45 mL/min/1.73m(2) significantly improved IDI (0.047, P < 0.001).CONCLUSIONS: UAER and eGFR improved cardiovascular risk prediction beyond established cardiovascular risk factors, suggesting that these kidney biomarkers may be useful in predicting cardiovascular death in elderly men.
|
|
| 2. |
- Wohlin, Martin, et al.
(författare)
-
Both cyclooxygenase- and cytokine-mediated inflammation are associated with carotid intima-media thickness
- 2007
-
Ingår i: Cytokine. - : Elsevier BV. - 1043-4666 .- 1096-0023. ; 38:3, s. 130-136
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Common carotid artery intima-media thickness (CCA-IMT) is a valid index of atherosclerosis, which is viewed as an inflammatory disease. It is unknown if various modes of inflammation (cyclooxygenase [COX]-mediated, cytokine-mediated), oxidative stress and anti-oxidants are independently related to CCA-IMT. METHODS AND RESULTS: We investigated cross-sectional relations between CCA-IMT measured by B-mode ultrasound and COX-mediated inflammation (as measured by 15-keto-dihydro-prostaglandin F(2alpha) [PGF(2alpha)], cytokine-mediated inflammation (interleukin-6 [IL-6], high sensitivity C-reactive protein [hsCRP] and serum amyloid A protein [SAA]), oxidative stress (8-iso-PGF(2alpha), an F(2)-isoprostane; a non-enzymatic, free radical-induced product of arachidonic acid), and tocopherols (anti-oxidants) in a small subset of a population-based sample of elderly men (n=234) stating no use of anti-inflammatory medications. In a backward-stepwise regression analysis of correlates of CCA-IMT (with PGF(2alpha), hsCRP, IL-6, SAA, F(2)-isoprostanes, tocopherols, diabetes, body mass index (BMI), beta-blocker, statin treatment, smoking, hypertension and cholesterol), PGF(2alpha), CRP, beta-blocker treatment, diabetes and BMI were independently associated with CCA-IMT. There were no associations between F(2)-isoprostanes or tocopherols and CCA-IMT in this study. CONCLUSION: This study suggests both COX- and cytokine-mediated inflammation to be independently associated with increased CCA-IMT, implying that there might be more than one mode of inflammation involved in atherogenesis.
|
|
| 3. |
- Zethelius, Björn, et al.
(författare)
-
Use of multiple biomarkers to improve the prediction of death from cardiovascular causes
- 2008
-
Ingår i: New England Journal of Medicine. - 0028-4793 .- 1533-4406. ; 358:20, s. 2107-2116
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: 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. METHODS: 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). RESULTS: 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. CONCLUSIONS: 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.
|
|
