Donate Help Contact The AHA Sign In Home
American Heart Association
Circulation
Search: search_blue_button Advanced Search
Circulation. 2001;103:3057-3061
doi: 10.1161/hc2501.091353
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Roest, M.
Right arrow Articles by van der Schouw, Y. T.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Roest, M.
Right arrow Articles by van der Schouw, Y. T.
Related Collections
Right arrow Risk Factors
Right arrow Acute coronary syndromes
Right arrow Epidemiology

(Circulation. 2001;103:3057.)
© 2001 American Heart Association, Inc.


Clinical Investigation and Reports

Excessive Urinary Albumin Levels Are Associated With Future Cardiovascular Mortality in Postmenopausal Women

Mark Roest, PhD; Jan Dirk Banga, MD, PhD; Wilbert M. T. Janssen, MD, PhD; Diederick E. Grobbee, MD, PhD; Jan J. Sixma, MD, PhD; Paul E. de Jong, MD, PhD; Dick de Zeeuw, MD, PhD; Yvonne T. van der Schouw, PhD

From the Julius Center for Patient Oriented Research (M.R., D.E.G., Y.T.v.d.S.), the Department of Hematology (M.R., J.D.B.), Graduate School of Biomembranes, and the Department of Internal Medicine (M.R., J.J.S.), Utrecht University Medical School, Utrecht, the Netherlands, and the Department of Internal Medicine (W.M.T.J., P.E.d.J.), Division of Nephrology, and the Department of Clinical Pharmacology (W.M.T.J., D.d.Z.), University Hospital Groningen, Groningen, the Netherlands.

Correspondence to Mark Roest, PhD, Julius Center for General Practice and Patient Oriented Research, D01-335, Utrecht University Medical School, PO Box 85500, 3508 GA Utrecht, Netherlands. E-mail M.Roest{at}LAB.AZU.NL


*    Abstract
up arrowTop
*Abstract
down arrowIntroduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Background—Microalbuminuria is an early predictor of cardiovascular morbidity and mortality, in both diabetic patients and hypertensive patients. Little is known about the relation of microalbuminuria to cardiovascular disease in women of the general population.

Methods and Results—We have studied the relation of urinary albumin levels to cardiovascular mortality in a cohort study of 12 239 postmenopausal women living in Utrecht, the Netherlands. The initial age was between 52 and 67 years. Women were followed on vital status between 1976 and 1995 (168 513 women-years). Albumin was determined in the urine of 561 cases and 557 controls. Data were analyzed by using a nested case-control design. The cardiovascular mortality rate (95% CI) for women who were in the highest quintile of urinary albumin levels was 13.2/1000 years (8.1 to 20.9) compared with 2.6/1000 years (2.3 to 3.1) in women without detectable urinary albumin. The age-adjusted rate ratio (95% CI) between these groups was 4.4 (2.6 to 7.6).

Conclusions—This is the first large cohort study that confirms a predictive role of urinary albumin for the risk of future cardiovascular mortality independent of hypertension and diabetes. Our findings support the hypothesis that microalbuminuria is a reflection of vascular damage and a marker of early arterial disease in women from the general population.


Key Words: follow-up studies • mortality • myocardial infarction • women


*    Introduction
up arrowTop
up arrowAbstract
*Introduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Microalbuminuria is associated with increased risk of renal and cardiovascular morbidity and mortality in diabetes and hypertension.1 2 3 4 5 6 7 8 9 10 11 To date, little is known about the mechanism linking microalbuminuria to cardiovascular disease. There is growing support for the view that microalbuminuria is a reflection of a generalized arterial process affecting the glomeruli, the retina, and the intima of large vessels simultaneously.12 13 14 15 Therefore, leakage of albumin through the glomerular membrane may be a marker of preclinical atherosclerosis.

At present, it is not known whether microalbuminuria is an intermediate marker of arterial disease in subjects with hypertension and diabetes only or whether it is a general marker of arterial disease in any subject. Findings from small studies have suggested a relationship between microalbuminuria and cardiovascular disease incidence in the normal population,16 17 18 19 but large cohort studies remain to be performed. Very little is known about the importance of microalbuminuria in cardiovascular disease in women. We studied the relation of urinary albumin excretion to cardiovascular mortality in a population-based study among 12 239 women followed up for a maximum of 18 years (168 513 person-years).20 21


*    Methods
up arrowTop
up arrowAbstract
up arrowIntroduction
*Methods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Population
A total of 20 555 women born between 1911 and 1925 and residing in the city of Utrecht, the Netherlands, were asked to participate in an experimental breast cancer–screening program "Doorlopend Onderzoek Morbiditeit/Mortaliteit (DOM)" between December 1974 and October 1980.20 21 They were subsequently invited for repeat examinations. For the present study, we selected the 12 239 (60%) women who underwent a second examination (1976 to 1978), because this included a questionnaire on smoking at baseline. The women were followed with regard to vital status until December 31, 1995. The total follow-up time for the present analysis was 168 513 person-years. All participants gave oral informed consent for the use of their urine samples in future scientific research. These samples were stored at -20°C. The study was approved by the Institutional Review Board of the University Hospital Utrecht, Utrecht, the Netherlands.

Design
Full cohort analysis on the relationship between urinary albumin/creatinine ratio and cardiovascular mortality would be both expensive and labor intensive. Therefore, we used the nested case-control approach, which takes full advantage of the cohort information and has the cost-effectiveness of conventional case-control studies.22 23 The case group was composed of 608 women who died of cardiovascular disease, and the control group was composed of a random sample of 618 of 11 631 women who did not die of cardiovascular disease (sampling fraction 1:18.8). Urine samples of 59 cardiovascular mortality cases and of 49 women of the control group were not collected at baseline or were not retrieved. Therefore, these women were excluded from the present study. The final study group was composed of 549 cardiovascular mortality cases and 569 women of the control group.

Risk Factors
Each woman completed a questionnaire at baseline, with regard to medication, prescribed diets, history and presence of cardiovascular disease, and smoking. Blood pressure, height (m), and weight (kg) were also measured at that time. Overnight urine samples of each participant were stored at -20°C during follow-up. The women were classified as having diabetes mellitus if they used either insulin or oral blood glucose–lowering drugs or if they were on a diabetes diet. They were defined as smokers if they smoked at baseline. Body mass index (BMI, kg/m2) was calculated as weight (kg) divided by height squared (m2). Obesity was defined as BMI >=30. Hypertension was defined as systolic blood pressure >160 mm Hg and/or diastolic blood pressure >90 mm Hg and/or the use of antihypertensive medication.

End Points
Municipal registries provided information on a regular basis to the Department of Epidemiology (currently the Julius Center for General Practice and Patient Oriented Research) regarding the migration and/or mortality of the DOM cohort members. General practitioners provided information from their records, including specialists’ reports. Mortality was coded according to the International Classification of Diseases, Ninth Revision (ICD-9): mortality from myocardial infarction was defined as ICD-9 410 to 414; cerebrovascular mortality, as ICD-9 430 to 439; and other cardiovascular mortality, as all remaining ICD-9 codes between 390 and 460. A total of 1447 women (12.3%) had moved outside the recruitment area and had a median follow-up of 10 years, with a maximum of 18 years; those subjects were withdrawn from the study at the time point that they were lost. The 9062 surviving women had a median follow-up time of 17 years, with a maximum of 18 years. The number of deaths during follow-up (168 513 women-years) totaled 1714: 608 were from cardiovascular disease (ICD-9 390 to 459), 601 were from neoplasms (ICD-9 140 to 239), 299 were from other causes, and 206 were from unknown causes.

Urinary Albumin and Creatinine Measurements
Urinary albumin concentration was determined by a commercial immunoturbidimetry assay with sensitivity of 2.3 mg/L and interassay and intra-assay coefficients of variation of 4.4% and 4.3%, respectively (Dade Behring Diagnostica). Microalbuminuria was defined as the highest quintile of albumin excretion. Urinary creatinine concentration was measured by using a colorimetric assay (Merck). The collection time of overnight urine samples was not registered; therefore, we adjusted all albumin concentrations for creatinine levels. In 658 of the 1118 urine samples, the albumin concentration was below the detection limit. The 460 women with measurable quantities of albumin in their urine were assigned to quintiles, according to their urinary albumin/creatinine ratio.

Data Analysis
Means and proportions of baseline cardiovascular risk factors were computed for subgroups according to urinary albumin/creatinine ratios. Difference in means was tested by ANOVA, whereas differences in proportions were tested by {chi}2 statistics.

The nested case-referent approach enabled us to study mortality rates of cardiovascular disease according to urinary albumin/creatinine ratios.22 23 Rate ratios were estimated for each quintile in relation to women without albumin in their urine. The control group was a random sample of the total cohort of noncases. Therefore, we could estimate the person-years in the cohort as all person-years of the cases, while giving the person-years of the control group a weight of 18.8 (the inverse of the sampling fraction). Poisson regression was used to estimate mortality rates and risk ratios; 95% CIs were calculated with the method of Huber.24 Similarly, crude relative risks, mortality rates, and rate ratios were estimated for women with myocardial infarction (ICD 410 to 414), cerebrovascular disease (ICD 430 to 438), and other cardiovascular disease (all remaining ICD codes between 390 and 459), separately.

The potential effect of age, history of cardiovascular disease, smoking, obesity, diabetes, and hypertension on the relationship between microalbuminuria and cardiovascular mortality was analyzed in a multivariate model. Effect modification was studied by subgroup analyses on age (above or below the median), obesity (yes/no), diabetes (yes/no), hypertension (yes/no), and smoking (yes/no). The significance of possible effect modification was tested with interaction terms, which were added to the multivariate model containing individual factors.


*    Results
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
*Results
down arrowDiscussion
down arrowReferences
 
A total of 460 urine samples contained detectable quantities of albumin, whereas the other 658 urine samples did not contain detectable quantities of albumin. The 460 women with detectable quantities of albumin in their urine were assigned to quintiles, and the 658 women without detectable quantities of albumin were defined as not detectable. Age at entry, BMI, and smoking were not associated with urinary albumin levels (Table 1Down). The percentage of hypertensive patients was higher in women in the highest quintile than it was in women in the lower quintiles and in the not-detectable group. The number of subjects with diabetes mellitus and history of cardiovascular disease was too low to reliably estimate the prevalence in each quintile.


View this table:
[in this window]
[in a new window]
 
Table 1. Baseline Measurements According to Subgroups of Urinary Albumin/Creatinine Values

The cardiovascular mortality rate was expressed as the number of cases per 1000 follow-up years. In quintiles 1 through 3, the cardiovascular mortality rate was similar to that in the not-detectable group; the mortality rates were 2.8, 3.3, and 2.9, respectively (Table 2Down). However, in the fourth and the fifth quintiles, the cardiovascular mortality rates were higher: 4.5 and 13.2, respectively. The rate ratios (95% CI) were 1.8 (1.2 to 2.8) and 4.9 (2.9 to 8.3), respectively (Table 2Down). The increased risk of cardiovascular disease in relation to increased urinary albumin levels was consistent for myocardial infarction, cerebrovascular mortality, and all other forms of cardiovascular mortality (Table 2Down). The survival curves of cardiovascular mortality, according to the quintiles of urinary albumin excretion, are shown in the FigureDown.


View this table:
[in this window]
[in a new window]
 
Table 2. Cardiovascular Mortality Rate (Incidence/1000 y) and Rate Ratios According to Urinary Albumin/Creatinine Values



View larger version (13K):
[in this window]
[in a new window]
 
Figure 1. Survival curves for cardiovascular mortality in relation to urinary albumin excretion.

Adjustment for age and diabetes attenuated the rate ratios between the fifth quintile and not-detectable group slightly (rate ratio 3.65, 95% CI 2.14 to 6.25; Table 3Down). Further adjustment for blood pressure, history of cardiovascular disease, smoking, and BMI did not affect the risk estimates.


View this table:
[in this window]
[in a new window]
 
Table 3. Cardiovascular Mortality Rate Ratios in Quintiles of Urinary Albumin/Creatinine Values Relative to Nonexcreters and Influence of Age, Diabetes, Hypertension, Smoking, and BMI on Relationship

Subgroup analysis of the relationship between albumin and cardiovascular mortality according to hypertension is presented in Table 4Down. The age-adjusted risk ratio (95% CI) between the fifth quintile and not-detectable group was 4.3 (2.3 to 8.1) in hypertensive women and 3.3 (1.2 to 8.8) in nonhypertensive women; this difference did not reach statistical significance. There was also no indication for effect modification by smoking, diabetes, obesity, or age.


View this table:
[in this window]
[in a new window]
 
Table 4. Cardiovascular Mortality Rate (/1000 y) According to Urinary Albumin Excretion and Hypertension


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
*Discussion
down arrowReferences
 
We found a relationship between urinary albumin excretion and an increased risk of cardiovascular mortality in postmenopausal women of the general population. The cardiovascular mortality rate (95% CI) for women who were in the highest quintile of the urinary albumin/creatinine ratio was 13.2 (8.1 to 20.9) per 1000 follow-up years compared with 2.6 (2.3 to 3.1) per 1000 follow-up years in women without detectable quantities of urinary albumin.

To appreciate our findings, some characteristics of the present study need to be addressed. Our data were obtained from a large cohort study and, therefore, are not subject to any form of bias that can be introduced by the investigator, because case definition was based on the occurrence of disease during follow-up and because the exposure took place before the cases were defined. The prospective collection of urine samples enabled us to investigate cardiovascular mortality, whereas conventional case-control studies commonly rely on retrospectively collected data and, therefore, are limited to morbidity or to intermediate markers of disease.

It should be noted that the present study was conducted among nonhospitalized subjects, and data on cardiovascular end points were obtained from hospital records or general practitioner diagnosis. We expect a certain degree of misclassification of cardiovascular end points. Because this misclassification is not expected to be related to the albumin excretion at baseline, it will be random misclassification. In general, this will only lead to a dilution of the risk estimates toward the null.

A disadvantage of conventional full-cohort analysis is the large number of biological samples to be screened on biomarkers. This was solved by adopting a nested case-control approach: urine samples of all 549 women who died of cardiovascular disease were analyzed together with samples of 569 women who did not die of cardiovascular disease who were selected at random from the remainder of the cohort. Nested case-control analysis takes full advantage of a cohort study, but it has the efficiency of a case-control study.21 22 A potential disadvantage of nested case-control analysis compared with full-cohort analysis is that some power may be lost to measure a weak relationship between rare determinants.

Albumin levels were determined in urine samples after 20 years of storage at -20°C. It should be considered that absolute urinary albumin levels may decline during freezer storage.25 26 27 28 However, it is not expected that freezer storage will have major consequences for ranking into quintiles, and it is very unlikely that freezer instability of albumin could induce a relationship between urinary albumin excretion and cardiovascular mortality. If anything, freezer instability of albumin may lead to a certain degree of misclassification into the quintiles, which may attenuate the risk ratios.

However, freezer storage might explain why the number of samples in which albumin was not detectable was slightly higher than that expected in fresh samples. As a consequence, the absolute urinary albumin values in the whole population may be lower than those expected from albumin measurements in fresh urine samples. In addition, some women with traces of albumin in their urine may have been classified in the not-detectable group because their urinary albumin levels had decreased to below the detection limit because of storage; therefore, our risk ratios may provide an underestimation of true risk ratios. We do not expect selection bias by our measurements because there was no difference in storage and handling conditions between urine samples of cases and the rest of the cohort, and ranking is expected to be preserved. Observer bias was excluded by coding the urine samples and blinding the investigator to case or control status.

Blood pressure was measured at baseline for the entire cohort according to a standardized protocol. Diastolic and systolic blood pressure measurements were not higher than those expected from this elderly population. The high prevalence of hypertension may partly be due to conventional cutoff values for systolic and diastolic blood pressure in the definition of hypertension.

Our findings of a relationship between microalbuminuria and cardiovascular mortality in normal subjects support the view that microalbuminuria is a reflection of cardiovascular disease not only in diabetic and/or hypertensive subjects but also in postmenopausal women from the general population. This is further illustrated by our findings that stratification according to hypertension (yes/no) and diabetes (yes/no) had no influence on the relative risk between urinary albumin excreters and the not-detectable group.

This is the first large cohort study on the relationship between urinary albumin levels and cardiovascular mortality in postmenopausal women. Our findings confirm the findings of some small studies on microalbuminuria and cardiovascular disease incidence and fit in the hypothesis that microalbuminuria is an important marker of early generalized arterial dysfunction.16 17 18 19 Microalbuminuria may be used as an intermediate point of subclinical arterial damage. Further studies on the pathophysiological mechanism linking microalbuminuria to cardiovascular disease are indicated.


*    Acknowledgments
 
This study was supported by the Netherlands Heart foundation (NHS 96-165).

Received December 29, 2000; revision received March 30, 2001; accepted April 5, 2001.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*References
 

  1. Viberti GC, Hill RD, Jarrett RJ, et al. Microalbuminuria as a predictor of clinical nephropathy in insulin-dependent diabetes mellitus. Lancet. 1982;1:1430–1432.[Medline] [Order article via Infotrieve]
  2. Jarrett RJ, Viberti GC, Argyropoulos A, et al. Microalbuminuria predicts mortality in non-insulin-dependent diabetics. Diabet Med. 1984;1:17–19.[Medline] [Order article via Infotrieve]
  3. Mogensen CE. Microalbuminuria predicts clinical proteinuria and early mortality in maturity-onset diabetes. N Engl J Med. 1984;310:356–360.[Abstract]
  4. Grunfeld B, Perelstein E, Simsolo R, et al. Renal functional reserve and microalbuminuria in offspring of hypertensive parents. Hypertension. 1990;15:257–261.[Abstract/Free Full Text]
  5. Mattock MB, Morrish NJ, Viberti G, et al. Prospective study of microalbuminuria as predictor of mortality in NIDDM. Diabetes. 1992;41:736–741.[Abstract]
  6. Damsgaard EM, Froland A, Jorgensen OD, et al. Eight to nine year mortality in known non-insulin dependent diabetics and controls. Kidney Int. 1992;41:731–735.[Medline] [Order article via Infotrieve]
  7. Mogensen CE, Damsgaard EM, Froland A, et al. Microalbuminuria in non-insulin-dependent diabetes. Clin Nephrol. 1992;38(suppl 1):S28–S33.
  8. Bigazzi R, Bianchi S, Baldari D, et al. Microalbuminuria in salt-sensitive patients: a marker for renal and cardiovascular risk factors. Hypertension. 1994;23:195–199.[Abstract/Free Full Text]
  9. Agewall S, Wikstrand J, Ljungman S, et al. Does microalbuminuria predict cardiovascular events in nondiabetic men with treated hypertension?: Risk Factor Intervention Study Group. Am J Hypertens. 1995;8:337–342.[Medline] [Order article via Infotrieve]
  10. Alzaid AA. Microalbuminuria in patients with NIDDM: an overview. Diabetes Care. 1996;19:79–89.[Abstract]
  11. Dinneen SF, Gerstein HC. The association of microalbuminuria and mortality in non-insulin-dependent diabetes mellitus: a systematic overview of the literature. Arch Intern Med. 1997;157:1413–1418.[Abstract]
  12. Deckert T, Feldt-Rasmussen B, Borch-Johnsen K, et al. Albuminuria reflects widespread vascular damage: the Steno hypothesis. Diabetologia. 1989;32:219–226.[Medline] [Order article via Infotrieve]
  13. Mogensen CE. Systemic blood pressure and glomerular leakage with particular reference to diabetes and hypertension. J Intern Med. 1994;235:297–316.[Medline] [Order article via Infotrieve]
  14. Jensen JS. Renal and systemic transvascular albumin leakage in severe atherosclerosis. Arterioscler Thromb Vasc Biol. 1995;15:1324–1329.[Abstract/Free Full Text]
  15. Yudkin JS, Forrest RD, Jackson CA. Microalbuminuria as predictor of vascular disease in non-diabetic subjects: Islington Diabetes Survey. Lancet. 1988;2:530–533.[Medline] [Order article via Infotrieve]
  16. Damsgaard EM, Froland A, Jorgensen OD, et al. Microalbuminuria as predictor of increased mortality in elderly people. BMJ. 1990;300:297–300.
  17. Jager A, Kostense PJ, Ruhe HG, et al. Microalbuminuria and peripheral arterial disease are independent predictors of cardiovascular and all-cause mortality, especially among hypertensive subjects: five-year follow-up of the Hoorn Study. Arterioscler Thromb Vasc Biol. 1999;19:617–624.[Abstract/Free Full Text]
  18. Gorgels WJ, van der Graaf Y, Hjemdahl P, et al. Urinary excretions of high molecular weight beta-thromboglobulin and albumin are independently associated with coronary heart disease in women, a nested case-control study of middle-aged women in the Diagnostisch Onderzoek Mammacarcinoom (DOM) Cohort, Utrecht, Netherlands. Am J Epidemiol. 1995;142:1157–1164.[Abstract/Free Full Text]
  19. Borch-Johnsen K, Feldt-Rasmussen B, Strandgaard S, et al. Urinary albumin excretion: an independent predictor of ischemic heart disease. Arterioscler Thromb Vasc Biol. 1999;19:1992–1997.[Abstract/Free Full Text]
  20. Waard dF, Collette HJA, Rombach JJ, et al. The DOM-project for early diagnosis of breast cancer. J Chronic Dis. 1984;47:41–44.
  21. Peeters PH, van Noord PA, Hoes AW, et al. Hypertension, antihypertensive drugs, and mortality from cancer among women. J Hypertens. 1998;16:941–947.[Medline] [Order article via Infotrieve]
  22. Mietinen OS. Estimability and estimation in case-referent studies. Am J Epidemiol. 1974;103:181–235.[Abstract/Free Full Text]
  23. Roest M, van der Schouw YT, Tempelman MJ, et al. The factor V Arg506Gln mutation is not associated with cardiovascular mortality in older women. Am J Epidemiol. 1999;149:665–670.[Abstract/Free Full Text]
  24. Huber PJ. The behavior of maximum likelihood estimates under non-standard conditions. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability. Berkeley, Calif: 1967;1:221–233.
  25. Giampietro O, Penno G, Clerico A, et al. How and how long to store urine samples before albumin radioimmunoassay: a practical response. Clin Chem. 1993;39:533–536.[Abstract/Free Full Text]
  26. Shield JP, Hunt LP, Morgan JE, et al. Are frozen urine samples acceptable for estimating albumin excretion in research? Diabet Med. 1995;12:713–716.[Medline] [Order article via Infotrieve]
  27. Elving LD, Bakkeren JA, Jansen MJ, et al. Screening for microalbuminuria in patients with diabetes mellitus: frozen storage of urine samples decreases their albumin content. Clin Chem. 1989;35:308–310.[Abstract/Free Full Text]
  28. Schultz CJ, Dalton RN, Turner C, et al. Freezing method affects the concentration and variability of urine proteins and the interpretation of data on microalbuminuria: the Oxford Regional Prospective Study Group. Diabet Med. 2000;17:7–14. [Medline] [Order article via Infotrieve]



This article has been cited by other articles:


Home page
CJASNHome page
E. Rademacher, M. Mauer, D. R. Jacobs Jr, B. Chavers, J. Steinke, and A. Sinaiko
Albumin Excretion Rate in Normal Adolescents: Relation to Insulin Resistance and Cardiovascular Risk Factors and Comparisons to Type 1 Diabetes Mellitus Patients
Clin. J. Am. Soc. Nephrol., July 1, 2008; 3(4): 998 - 1005.
[Abstract] [Full Text] [PDF]


Home page
Diabetes CareHome page
S. Basi, P. Fesler, A. Mimran, and J. B. Lewis
Microalbuminuria in Type 2 Diabetes and Hypertension: A marker, treatment target, or innocent bystander?
Diabetes Care, February 1, 2008; 31(Supplement_2): S194 - S201.
[Full Text] [PDF]


Home page
Am. J. Physiol. Renal Physiol.Home page
S. Sheehan, S.-W. Tsaih, B. L. King, C. Stanton, G. A. Churchill, B. Paigen, and K. DiPetrillo
Genetic analysis of albuminuria in a cross between C57BL/6J and DBA/2J mice
Am J Physiol Renal Physiol, November 1, 2007; 293(5): F1649 - F1656.
[Abstract] [Full Text] [PDF]


Home page
Therapeutic Advances in Cardiovascular DiseaseHome page
A. Whaley-Connell, B. S. Pavey, K. Chaudhary, G. Saab, and J. R. Sowers
Review: Renin-angiotensin-aldosterone system intervention in the cardiometabolic syndrome and cardio-renal protection
Therapeutic Advances in Cardiovascular Disease, October 1, 2007; 1(1): 27 - 35.
[Abstract] [PDF]


Home page
Nephrol Dial TransplantHome page
T. H. Jafar, N. Chaturvedi, J. Hatcher, and A. S. Levey
Use of albumin creatinine ratio and urine albumin concentration as a screening test for albuminuria in an Indo-Asian population
Nephrol. Dial. Transplant., August 1, 2007; 22(8): 2194 - 2200.
[Abstract] [Full Text] [PDF]


Home page
CJASNHome page
J. Nogueira and M. Weir
The Unique Character of Cardiovascular Disease in Chronic Kidney Disease and Its Implications for Treatment with Lipid-Lowering Drugs
Clin. J. Am. Soc. Nephrol., July 1, 2007; 2(4): 766 - 785.
[Abstract] [Full Text] [PDF]


Home page
J. Am. Soc. Nephrol.Home page
J. Redon, F. Morales-Olivas, A. Galgo, M. A. Brito, J. Mediavilla, R. Marin, P. Rodriguez, S. Tranche, J. V. Lozano, C. Filozof, et al.
Urinary Albumin Excretion and Glomerular Filtration Rate across the Spectrum of Glucose Abnormalities in Essential Hypertension
J. Am. Soc. Nephrol., December 1, 2006; 17(12_suppl_3): S236 - S245.
[Abstract] [Full Text] [PDF]


Home page
CJASNHome page
E. S. Ommen, J. A. Winston, and B. Murphy
Medical Risks in Living Kidney Donors: Absence of Proof Is Not Proof of Absence
Clin. J. Am. Soc. Nephrol., July 1, 2006; 1(4): 885 - 895.
[Abstract] [Full Text] [PDF]


Home page
HypertensionHome page
I. H. Schulman, P. Aranda, L. Raij, M. Veronesi, F. J. Aranda, and R. Martin
Surgical Menopause Increases Salt Sensitivity of Blood Pressure
Hypertension, June 1, 2006; 47(6): 1168 - 1174.
[Abstract] [Full Text] [PDF]


Home page
Arch Intern MedHome page
J. R. Madison, C. Spies, I. J. Schatz, K. Masaki, R. Chen, K. Yano, and J. D. Curb
Proteinuria and Risk for Stroke and Coronary Heart Disease During 27 Years of Follow-up: The Honolulu Heart Program.
Arch Intern Med, April 24, 2006; 166(8): 884 - 889.
[Abstract] [Full Text] [PDF]


Home page
J. Am. Soc. Nephrol.Home page
J. Segura, J. A. Garcia-Donaire, M. Praga, and L. M. Ruilope
Chronic Kidney Disease as a Situation of High Added Risk in Hypertensive Patients
J. Am. Soc. Nephrol., April 1, 2006; 17(4_suppl_2): S136 - S140.
[Abstract] [Full Text] [PDF]


Home page
Arch Intern MedHome page
S. H. Jee, L. E. Boulware, E. Guallar, I. Suh, L. J. Appel, and E. R. Miller III
Direct, Progressive Association of Cardiovascular Risk Factors With Incident Proteinuria: Results From the Korea Medical Insurance Corporation (KMIC) Study
Arch Intern Med, October 24, 2005; 165(19): 2299 - 2304.
[Abstract] [Full Text] [PDF]


Home page
HypertensionHome page
J. Redon
Urinary Albumin Excretion: Lowering the Threshold of Risk in Hypertension
Hypertension, July 1, 2005; 46(1): 19 - 20.
[Full Text] [PDF]


Home page
DiabetesHome page
W. D. Strain, N. Chaturvedi, C. J. Bulpitt, C. Rajkumar, and A. C. Shore
Albumin Excretion Rate and Cardiovascular Risk: Could the Association Be Explained by Early Microvascular Dysfunction?
Diabetes, June 1, 2005; 54(6): 1816 - 1822.
[Abstract] [Full Text] [PDF]


Home page
HypertensionHome page
J. M. Pascual, E. Rodilla, C. Gonzalez, S. Perez-Hoyos, and J. Redon
Long-Term Impact of Systolic Blood Pressure and Glycemia on the Development of Microalbuminuria in Essential Hypertension
Hypertension, June 1, 2005; 45(6): 1125 - 1130.
[Abstract] [Full Text] [PDF]


Home page
Am J EpidemiolHome page
A. R. Dyer, P. Greenland, P. Elliott, M. L. Daviglus, G. Claeys, H. Kesteloot, H. Ueshima, J. Stamler, and for the INTERMAP Research Group
Evaluation of Measures of Urinary Albumin Excretion in Epidemiologic Studies
Am. J. Epidemiol., December 1, 2004; 160(11): 1122 - 1131.
[Abstract] [Full Text] [PDF]


Home page
J. Am. Soc. Nephrol.Home page
J. M. Davison, V. Homuth, A. Jeyabalan, K. P. Conrad, S. A. Karumanchi, S. Quaggin, R. Dechend, and F. C. Luft
New Aspects in the Pathophysiology of Preeclampsia
J. Am. Soc. Nephrol., September 1, 2004; 15(9): 2440 - 2448.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Physiol. Renal Physiol.Home page
R. Korstanje and K. DiPetrillo
Unraveling the genetics of chronic kidney disease using animal models
Am J Physiol Renal Physiol, September 1, 2004; 287(3): F347 - F352.
[Abstract] [Full Text] [PDF]


Home page
Am J EpidemiolHome page
A. R. Dyer, P. Greenland, P. Elliott, M. L. Daviglus, G. Claeys, H. Kesteloot, Q. Chan, H. Ueshima, and J. Stamler
Estimating Laboratory Precision of Urinary Albumin Excretion and Other Urinary Measures in the International Study on Macronutrients and Blood Pressure
Am. J. Epidemiol., August 1, 2004; 160(3): 287 - 294.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Physiol. Renal Physiol.Home page
J. T. Lane
Microalbuminuria as a marker of cardiovascular and renal risk in type 2 diabetes mellitus: a temporal perspective
Am J Physiol Renal Physiol, March 1, 2004; 286(3): F442 - F450.
[Abstract] [Full Text] [PDF]


Home page
Int J EpidemiolHome page
M. F Yuyun, K.-T. Khaw, R. Luben, A. Welch, S. Bingham, N. E Day, and N. J Wareham
Microalbuminuria independently predicts all-cause and cardiovascular mortality in a British population: The European Prospective Investigation into Cancer in Norfolk (EPIC-Norfolk) population study
Int. J. Epidemiol., February 1, 2004; 33(1): 189 - 198.
[Abstract] [Full Text] [PDF]


Home page
ANN INTERN MEDHome page
K. Wachtell, H. Ibsen, M. H. Olsen, K. Borch-Johnsen, L. H. Lindholm, C. E. Mogensen, B. Dahlof, R. B. Devereux, G. Beevers, U. de Faire, et al.
Albuminuria and Cardiovascular Risk in Hypertensive Patients with Left Ventricular Hypertrophy: The LIFE Study
Ann Intern Med, December 2, 2003; 139(11): 901 - 906.
[Abstract] [Full Text] [PDF]


Home page
HypertensionHome page
M. J. Sarnak, A. S. Levey, A. C. Schoolwerth, J. Coresh, B. Culleton, L. L. Hamm, P. A. McCullough, B. L. Kasiske, E. Kelepouris, M. J. Klag, et al.
Kidney Disease as a Risk Factor for Development of Cardiovascular Disease: A Statement From the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention
Hypertension, November 1, 2003; 42(5): 1050 - 1065.
[Full Text] [PDF]


Home page
CirculationHome page
M. J. Sarnak, A. S. Levey, A. C. Schoolwerth, J. Coresh, B. Culleton, L. L. Hamm, P. A. McCullough, B. L. Kasiske, E. Kelepouris, M. J. Klag, et al.
Kidney Disease as a Risk Factor for Development of Cardiovascular Disease: A Statement From the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention
Circulation, October 28, 2003; 108(17): 2154 - 2169.
[Full Text] [PDF]


Home page
Am J EpidemiolHome page
M. A. Murtaugh, D. R. Jacobs Jr., X. Yu, M. D. Gross, and M. Steffes
Correlates of Urinary Albumin Excretion in Young Adult Blacks and Whites: The Coronary Artery Risk Development in Young Adults Study
Am. J. Epidemiol., October 1, 2003; 158(7): 676 - 686.
[Abstract] [Full Text] [PDF]


Home page
Nephrol Dial TransplantHome page
S. P. McDonald, G. P. Maguire, and W. E. Hoy
Renal function and cardiovascular risk markers in a remote Australian Aboriginal community
Nephrol. Dial. Transplant., August 1, 2003; 18(8): 1555 - 1561.
[Abstract] [Full Text] [PDF]


Home page
J Am Coll CardiolHome page
J. E. Liu, D. C. Robbins, V. Palmieri, J. N. Bella, M. J. Roman, R. Fabsitz, B. V. Howard, T. K. Welty, E. T. Lee, and R. B. Devereux
Association of albuminuria with systolic and diastolic left ventricular dysfunction in type 2 diabetes: The Strong Heart Study
J. Am. Coll. Cardiol., June 4, 2003; 41(11): 2022 - 2028.
[Abstract] [Full Text] [PDF]


Home page
Nephrol Dial TransplantHome page
F. C. Luft
Pre-eclampsia and the maternal cardiovascular risk
Nephrol. Dial. Transplant., May 1, 2003; 18(5): 860 - 861.
[Full Text] [PDF]


Home page
CirculationHome page
H. L. Hillege, V. Fidler, G. F.H. Diercks, W. H. van Gilst, D. de Zeeuw, D. J. van Veldhuisen, R. O.B. Gans, W. M.T. Janssen, D. E. Grobbee, P. E. de Jong, et al.
Urinary Albumin Excretion Predicts Cardiovascular and Noncardiovascular Mortality in General Population
Circulation, October 1, 2002; 106(14): 1777 - 1782.
[Abstract] [Full Text] [PDF]


Home page
HypertensionHome page
J. Redon, E. Rovira, A. Miralles, R. Julve, and J. M. Pascual
Factors Related to the Occurrence of Microalbuminuria During Antihypertensive Treatment in Essential Hypertension
Hypertension, March 1, 2002; 39(3): 794 - 798.
[Abstract] [Full Text] [PDF]


Home page
Vasc MedHome page
R. Pedrinelli, G. Dell'Omo, G. Penno, and M. Mariani
Non-diabetic microalbuminuria, endothelial dysfunction and cardiovascular disease
Vascular Medicine, November 1, 2001; 6(4): 257 - 264.
[Abstract] [PDF]