(Circulation. 2006;113:e406-e407.)
© 2006 American Heart Association, Inc.
Correspondence |
Department of Cardiology, University Medical Center Groningen, Groningen, The Netherlands, fwasselbergs{at}hotmail.com
Recently, researchers from the Framingham Heart Study reported in Circulation that in middle-aged, nonhypertensive, nondiabetic subjects, low-grade albuminuria predicted the development of cardiovascular disease.1 Subjects with previous coronary heart disease, diabetes mellitus, proteinuria, and hypertension (
140/90 mm Hg) were excluded from these analyses. In addition to the strong prognostic value of urine albumin excretion in the lower range, another intriguing finding was reported: Baseline characteristics did not differ between subjects with urinary albumin excretion above or below the median. More specifically, body mass index, systolic and diastolic blood pressures, and smoking status did not differ between these groups. All of these factors have previously been reported to influence microalbuminuria.2 In particular, blood pressure is strongly related to the presence and level of albuminuria. We believe that there is no apparent reason to assume that the cutoff value for blood pressure, below which blood pressure would not affect the level of microalbuminuria, be set at 140/90 mm Hg. Therefore, we question how the authors can explain the absence of any association between low-grade albuminuria and traditional cardiovascular risk factors in The Framingham Heart Study.
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From the National Heart, Lung, and Blood Institute, Framingham Heart Study, Framingham, Mass, vasan{at}bu.edu
General Medicine Division, Massachusetts General Hospital, Boston, Mass
Response
We thank Dr Asselbergs and colleagues for their careful inspection of the Table in our report1 and for their expert comments. Dr Asselbergs and colleagues concluded, based on the similarity of mean values of several cardiovascular disease risk factors in subjects with urine albumintocreatinine ratio (UACR) values above versus below the sex-specific median, that low-grade albuminuria was not associated with cardiovascular risk factors in our study sample of individuals free of diabetes and hypertension. That conclusion, however, is not supported by our data.
It is important to clarify that the Table in our report was intended to be descriptive rather than analytic. The relations of UACR to cardiovascular risk factor levels in our sample are better assessed by multivariable linear-regression analysis. The Table presented herein shows the results of linear-regression models that identify the cross-sectional correlates of UACR (logarithmically transformed to normalize the skewed distribution). In our sample of nonhypertensive nondiabetic individuals, age, female sex, and systolic blood pressure were related directly to UACR, whereas body mass index was related inversely.
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Also shown in the Table are results of multivariable linear-regression analysis in our complete study sample, ie, including subjects with diabetes and/or hypertension. The relations of hypertension and diabetes to UACR were modeled in 2 ways: adjusting for continuous systolic and diastolic blood pressure, hypertension treatment (yes/no), and continuous fasting blood glucose (model 1) and adjusting for hypertension (blood pressure
140/90 mm Hg or using antihypertensive medications) and diabetes (fasting blood glucose
126 mg/dL) as dichotomous variables (model 2). The larger sample size and a wider distribution of continuous risk factor values increased our statistical power to detect modest associations of cardiovascular risk factors and UACR. In model 1, UACR was related positively to age, female sex, systolic blood pressure, fasting blood sugar, and smoking but was inversely related to body mass index. Similar relations were observed for model 2. The ratio of total to HDL cholesterol was not related to UACR in any of the models that we examined.
In summary, we observed that UACR was related to select cardiovascular risk factors in both our healthier subsample and in our larger, more general study sample (consistent with other reports26). Our observations concur with those of other investigators who have reported weaker relations of cardiovascular risk factors to UACR in low-risk samples compared with samples including higher-risk individuals.5
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