Long-term changes in albuminuria: underlying causes and future mortality risk in a 20-year prospective cohort: the Nord-Trøndelag Health (HUNT) Study.

OBJECTIVE: Knowledge on how changing risk factors influence the progression of albuminuria over time is still limited. Furthermore, large population-based cohorts are needed to study the association between albuminuria change and mortality risk in nondiabetic study participants. METHODS: We evaluated changes of albuminuria in 6282 nondiabetic individuals from the Norwegian population-based Nord-Trøndelag Health study. Using three albumin/creatinine ratios (ACR), we studied the influence of cardiovascular risk factors on ACR change from baseline to follow-up 11 years later. We evaluated the next 8-year mortality risk by using flexible parametric methods to identify nonlinear main effects and their two-way interactions. RESULTS: Mean albuminuria increased significantly over 11 years (1.82-3.02 mg/mmol, P < 0.0001), but two-thirds of individuals had stable levels (ΔACR -1.40 to 1.40 mg/mmol). Higher age, ACR, and SBP as well as smoking and lower glomerular filtration rate at baseline were associated with increasing albuminuria. Study participants in the upper quartile of the increasing group had mean adjusted hazard ratio 1.31 (P = 0.004) for all-cause mortality compared with those with stable ACR. Those with decreasing ACR also had increased mortality, but the risk was strongly attenuated when adjusting for comorbidity. It also decreased the first 3 years before increasing. There was a strong interaction between baseline ACR and ΔACR. Increasing albuminuria had strongest effect on mortality in study participants with moderately increased baseline values. CONCLUSION: Both increasing and decreasing albuminuria are significant independent predictors of mortality in nondiabetic individuals, but must be interpreted in light of baseline values. Cutoffs and clinical usefulness in nondiabetic study participants should be further investigated.

Influence of Gender and Repeated Urine Sampling on the Association of Albuminuria with Coronary Events.

BACKGROUND: The association between albuminuria and coronary heart disease (CHD) is well-known, but uncertainties related to day-to-day variability and effect modification of gender complicate the risk assessment process. This study evaluates the associations of CHD with albuminuria level in men and women based on the number of urine samples. METHODS: Nine thousand one hundred and fifty-eight adults provided 3 urine samples and were followed for 14 years in the population-based HUNT-2 cohort study. The association of myocardial infarction or coronary death with different albumin-creatinine ratio (ACR) cut-offs, based on gender and number of positive ACRs, were estimated by hazard ratios (HRs) and adjusted for by Framingham variables. RESULTS: Associations between ACR and CHD were similar in men and women. For example, HRs for moderately increased (3.0≤ ACR ≤30.0 mg/mmol) vs. normal albuminuria (ACR <1.0 mg/mmol) were 1.40 (95% CI 1.27-2.03) and 1.61 (95% CI 1.15-1.71) respectively, (psex-equality = 0.3). However, median intra-individual day-to-day ACR coefficient of variation was 22.4% in women vs. 17.5% in men (p < 0.001). Two or 3 positive ACRs were required to establish a significant association with CHD at levels below 4.0 mg/mmol in women, while one positive ACR implied a significant association at all levels in men. Based on receiver-operating-characteristics curves, the Youden index suggested possible equal cut-offs for women (1.12 mg/mmol) and men (0.88 mg/mmol), p = 0.06. CONCLUSIONS: There were no significant gender differences in the association between albuminuria and coronary events. However, women had increased intra-individual albuminuria variability compared to men, necessitating several positive urine samples if mildly increased albuminuria is used in coronary risk evaluation.

The accuracy of predicting cardiovascular death based on one compared to several albuminuria values.

Albuminuria is a well-documented predictor of cardiovascular (CV) mortality. However, day-to-day variability is substantial, and there is no consensus on the number of urine samples required for risk prediction. To resolve this we followed 9158 adults from the population-based Nord-Trøndelag Health Study for 13 years (Second HUNT Study). The predictive performance of models for CV death based on Framingham variables plus 1 versus 3 albumin-creatinine ratio (ACR) was assessed in participants who provided 3 urine samples. There was no improvement in discrimination, calibration, or reclassification when using ACR as a continuous variable. Difference in Akaike information criterion indicated an uncertain improvement in overall fit for the model with the mean of 3 urine samples. Criterion analyses on dichotomized albuminuria information sustained 1 sample as sufficient for ACR levels down to 1.7 mg/mmol. At lower levels, models with 3 samples had a better overall fit. Likewise, in survival analyses, 1 sample was enough to show a significant association to CV mortality for ACR levels above 1.7 mg/mmol (adjusted hazard ratio 1.37; 95% CI 1.15-1.63). For lower ACR levels, 2 or 3 positive urine samples were needed for significance. Thus, multiple urine sampling did not improve CV death prediction when using ACR as a continuous variable. For cutoff ACR levels of 1.0 mg/mmol or less, additional urine samples were required, and associations were stronger with increasing number of samples.

Arginine/asymmetric dimethylarginine ratio and cardiovascular risk factors in patients with predialytic chronic kidney disease.

OBJECTIVES: Asymmetric dimethylarginine (ADMA) is an endogenous inhibitor of nitric oxide synthase (NOS) that accumulates in patients with chronic kidney disease (CKD) and predicts cardiovascular outcome. Arginine is the substrate for NOS and a low arginine/ADMA ratio may lead to a reduced NO production and a worse prognosis. We have studied how other important CKD variables predict the arginine/ADMA ratio. DESIGN AND METHODS: The population is 160 predialytic CKD patients (median age 61 years). We used backward stepwise regression to identify the best predictors of p-arginine, p-ADMA and arginine/ADMA ratio. RESULTS: P-ADMA was predicted by estimated GFR (eGFR) (adjusted R(2)=0.17, p>0.00). Arginine/ADMA ratio was predicted by gender, eGFR, use of renin angiotensin aldosteron (RAAS) inhibitors, current smoking and use of platelet inhibitors (adjusted R(2)=0.18, p<0.00). CONCLUSIONS: Reduced eGFR is associated with reduced arginine/ADMA ratio. The use of RAAS inhibitors and male gender may be protective against a low arginine/ADMA ratio.