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- Jackson, C. E., et al.
(author)
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Albuminuria in chronic heart failure: prevalence and prognostic importance
- 2009
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In: Lancet. - 1474-547X. ; 374:9689, s. 543-50
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Journal article (peer-reviewed)abstract
- BACKGROUND: Increased excretion of albumin in urine might be a marker of the various pathophysiological changes that arise in patients with heart failure. Therefore our aim was to assess the prevalence and prognostic value of a spot urinary albumin to creatinine ratio (UACR) in patients with heart failure. METHODS: UACR was measured at baseline and during follow-up of 2310 patients in the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity (CHARM) Programme. The prevalence of microalbuminuria and macroalbuminuria, and the predictive value of UACR for the primary composite outcome of each CHARM study--ie, death from cardiovascular causes or admission to hospital with worsening heart failure--and death from any cause were assessed. FINDINGS: 1349 (58%) patients had a normal UACR, 704 (30%) had microalbuminuria, and 257 (11%) had macroalbuminuria. The prevalence of increased UACR was similar in patients with reduced and preserved left ventricular ejection fractions. Patients with an increased UACR were older, had more cardiovascular comorbidity, worse renal function, and a higher prevalence of diabetes mellitus than did those with normoalbuminuria. However, a high prevalence of increased UACR was still noted among patients without diabetes, hypertension, or renal dysfunction. Elevated UACR was associated with increased risk of the composite outcome and death even after adjustment for other prognostic variables including renal function, diabetes, and haemoglobin A1c. The adjusted hazard ratio (HR) for the composite outcome in patients with microalbuminuria versus normoalbuminuria was 1.43 (95% CI 1.21-1.69; p<0.0001) and for macroalbuminuria versus normoalbuminuria was 1.75 (1.39-2.20; p<0.0001). The adjusted values for death were 1.62 (1.32-1.99; p<0.0001) for microalbuminuria versus normoalbuminuria, and 1.76 (1.32-2.35; p=0.0001) for macroalbuminuria versus normoalbuminuria. Treatment with candesartan did not reduce or prevent the development of excessive excretion of urinary albumin. INTERPRETATION: Increased UACR is a powerful and independent predictor of prognosis in heart failure. FUNDING: AstraZeneca.
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| 2. |
- Preiss, D., et al.
(author)
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Predictors of development of diabetes in patients with chronic heart failure in the Candesartan in Heart Failure Assessment of Reduction in Mortality and Morbidity (CHARM) program
- 2009
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In: Diabetes Care. - : American Diabetes Association. - 1935-5548 .- 0149-5992. ; 32:5, s. 915-20
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Journal article (peer-reviewed)abstract
- OBJECTIVE: The purpose of this study was to identify predictors of incident diabetes during follow-up of nondiabetic patients with chronic heart failure (CHF) in the Candesartan in Heart Failure Assessment of Reduction in Mortality and Morbidity (CHARM) program. RESEARCH DESIGN AND METHODS: A total of 1,620 nondiabetic patients had full baseline datasets. We compared baseline demographic, medication, and laboratory data for patients who did or did not develop diabetes and conducted logistic regression and receiver operator characteristic curve analyses. RESULTS: Over a median period of 2.8 years, 126 of the 1,620 patients (7.8%) developed diabetes. In multiple logistic regression analysis, the following baseline characteristics were independently associated with incident diabetes in decreasing order of significance by stepwise selection: higher A1C (odds ratio [OR] 1.78 per 1 SD increase; P < 0.0001), higher BMI (OR 1.64 per 1 SD increase; P < 0.0001), lipid-lowering therapy (OR 2.05; P = 0.0005), lower serum creatinine concentration (OR 0.68 per 1 SD increase; P = 0.0018), diuretic therapy (OR 4.81; P = 0.003), digoxin therapy (OR 1.65; P = 0.022), higher serum alanine aminotransferase concentration (OR 1.15 per 1 SD increase; P = 0.027), and lower age (OR 0.81 per 1 SD increase; P = 0.048). Using receiver operating characteristic curve analysis, A1C and BMI yielded areas under the curve of 0.723 and 0.712, respectively, increasing to 0.788 when combined. Addition of other variables independently associated with diabetes risk minimally improved prediction of diabetes. CONCLUSIONS: In nondiabetic patients with CHF in CHARM, A1C and BMI were the strongest predictors of the development of diabetes. Other minor predictors in part reflected CHF severity or drug-associated diabetes risk. Identifying patients with CHF at risk of diabetes through simple criteria appears possible and could enable targeted preventative measures.
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