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Sökning: WFRF:(Holme I)

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41.
  • Dahlberg, Leif, et al. (författare)
  • A randomized, multicentre, double-blind, parallel-group study to assess the adverse event-related discontinuation rate with celecoxib and diclofenac in elderly patients with osteoarthritis.
  • 2009
  • Ingår i: Scandinavian Journal of Rheumatology. - : Informa UK Limited. - 1502-7732 .- 0300-9742. ; 38, s. 133-143
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: To compare the adverse event (AE)-related discontinuation rate with celecoxib vs. diclofenac when given to reduce joint pain associated with knee or hip osteoarthritis (OA) in elderly patients. Methods: This was a double-blind, randomized, multicentre, parallel-group, 1-year comparison of celecoxib 200 mg once daily and diclofenac 50 mg twice daily in 925 patients with OA aged >/= 60 years. Study visits were at baseline and at 4, 13, 26, 39, and 52 weeks. At each visit, the Patient's and Physician's Global Assessment of Arthritis (PaGAA, PhGAA), the Patient's Assessment of Arthritis Pain - Visual Analogue Scale (PAAP-VAS), and AEs were assessed. A concomitant health economic analysis was conducted throughout. Results: The rate of study discontinuation due to AEs, laboratory abnormalities, and deaths was 27% for celecoxib and 31% for diclofenac (p = 0.22). The results of the arthritis/pain efficacy assessments were similar for celecoxib and diclofenac. Significantly fewer patients in the celecoxib group than the diclofenac group experienced cardiovascular/renal AEs (70/458 vs. 95/458, p = 0.039) or hepatic AEs (10/458 vs. 39/458, p<0.0001). Medication costs were higher for celecoxib than diclofenac but mean total treatment cost was slightly higher in the diclofenac group. Conclusion: Treatment with celecoxib 200 mg once daily and diclofenac 50 mg twice daily resulted in similar rates of AE-related study discontinuation in elderly patients with OA. Celecoxib and diclofenac demonstrated comparable efficacy in relieving the signs and symptoms of OA. However, the proportion of patients with cardiorenal and hepatic AEs was significantly lower in the celecoxib group than the diclofenac group.
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45.
  • Holdaas, H., et al. (författare)
  • Effect of fluvastatin on cardiac outcomes in renal transplant recipients : A multicentre, randomised, placebo-controlled trial
  • 2003
  • Ingår i: The Lancet. - 0140-6736 .- 1474-547X. ; 361:9374, s. 2024-2031
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Renal transplant recipients are at increased risk of premature cardiovascular disease. Although statins reduce cardiovascular risk in the general population, their efficacy and safety in renal transplant recipients have not been established. We investigated the effects of fluvastatin on cardiac and renal endpoints in this population. Methods: We did a multicentre, randomised, double-blind, placebo-controlled trial in 2102 renal transplant recipients with total cholesterol 4·0-9·0 mmol/L. We randomly assigned patients fluvastatin (n=1050) or placebo (n=1052) and follow up was for 5-6 years. The primary endpoint was the occurrence of a major adverse cardiac event, defined as cardiac death, non-fatal myocardial infarction (MI), or coronary intervention procedure. Secondary endpoints were individual cardiac events, combined cardiac death or non-fatal MI, cerebrovascular events, non-cardiovascular death, all-cause mortality, and graft loss or doubling of serum creatinine. Analysis was by intention to treat. Findings: After a mean follow-up of 5·1 years, fluvastatin lowered LDL cholesterol concentrations by 32%. Risk reduction with fluvastatin for the primary endpoint (risk ratio 0·83 [95% CI 0·64-1·06], p=0·139) was not significant, although there were fewer cardiac deaths or non-fatal MI (70 vs 104, 0·65 [0·48-0·88] p=0·005) in the fluvastatin group than in the placebo group. Coronary intervention procedures and other secondary endpoints did not differ significantly between groups. Interpretation: Although cardiac deaths and non-fatal MI seemed to be reduced, fluvastatin did not generally reduce rates of coronary intervention procedures or mortality. Overall effects of fluvastatin were similar to those of statins in other populations.
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47.
  • Holme, I, et al. (författare)
  • Cardiovascular outcomes and their relationships to lipoprotein components in patients with and without chronic kidney disease: results from the IDEAL trial
  • 2010
  • Ingår i: JOURNAL OF INTERNAL MEDICINE. - : Blackwell Publishing Ltd. - 0954-6820. ; 267:6, s. 567-575
  • Tidskriftsartikel (refereegranskat)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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48.
  • Holme, I., et al. (författare)
  • Lipoprotein predictors of cardiovascular events in statin-treated patients with coronary heart disease. Insights from the Incremental Decrease in End-points through Aggressive Lipid-lowering Trial (IDEAL)
  • 2008
  • Ingår i: Annals of Medicine. - : Informa UK Limited. - 0785-3890 .- 1365-2060. ; 40:6, s. 456-464
  • Tidskriftsartikel (refereegranskat)abstract
    • Background. Few studies have looked into the ability of measurements of apolipoprotein B (apoB) and apolipoprotein A-1 (apoA-1) or apoB/apoA-1 to predict new coronary heart disease (CHD) events in patients with CHD on statin treatment. Aims. In the IDEAL trial, to compare lipoprotein components to predict CHD events and to what degree differences in those parameters could explain the observed outcome. Methods. We compared the ability of treatment with atorvastatin 80 mg/day to that of simvastatin 20-40 mg/day to prevent CHD events in patients with CHD and used Cox regression models to study the relationships between on-treatment levels of lipoprotein components to subsequent major coronary events (MCE). Findings. Variables related to low-density lipoprotein cholesterol (LDL-C) carried more predictive information than those related to high-density lipoprotein cholesterol (HDL-C), but LDL-C was less predictive than both non-HDL-C and apoB. The ratio of apoB to apoA-1 was most strongly related to MCE. However, for estimating differences in relative risk reduction between the treatment groups, apoB and non-HDL-C were the strongest predictors. Interpretation. The on-treatment level of apoB/apoA-1 was the strongest predictor of MCE in the pooled patient population, whereas apoB and non-HDL-C were best able to explain the difference in outcome between treatment groups. Measurements of apoB and apoA-1 should be more widely available for routine clinical assessments. © 2008 Informa UK Ltd. (Informa Healthcare, Taylor & Francis AS).
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49.
  • Holme, I., et al. (författare)
  • Prognostic model for total mortality in patients with haemodialysis from the Assessments of Survival and Cardiovascular Events (AURORA) study
  • 2012
  • Ingår i: Journal of Internal Medicine. - : Wiley. - 0954-6820 .- 1365-2796. ; 271:5, s. 463-471
  • Tidskriftsartikel (refereegranskat)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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