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Microalbuminuria Predicts Clinical Proteinuria and Early Mortality in Maturity-Onset Diabetes

List of authors.
  • C. E. Mogensen, M.D.

Abstract

We studied whether microalbuminuria (30 to 140 μg of albumin per milliliter) would predict the later development of increased proteinuria and early mortality in Type II diabetics. During 1973, morning urine specimens of diabetic clinic patients 50 to 75 years of age whose disease had been diagosed after the age of 45 were examined for albumin level by radioimmunoassay. Seventy-six patients with albumin concentrations of 30 to 140 μg per milliliter were identified for long-term follow-up. They were compared with normal controls, diabetic patients with lower albumin concentrations (75 patients with concentrations <15 μg per milliliter and 53 with concentrations of 16 to 29 μg per milliliter), and 28 diabetic patients with higher concentrations (>140). Age, duration of diabetes, treatment method, fasting blood glucose level, blood pressure, height, and weight were determined for the four diabetic groups. After nine years the group with albumin concentrations of 30 to 140 μg per milliliter was more likely to have clinically detectablle 5oteinuria (>400 μg per milliliter) than were the groups with lower concentrations. Mortality was 148 per cent higher in this group than in normal controls — comparable to the increase (116 per cent) in the group with heavy proteinuria (albumin levels >140 μg per milliliter). In addition, mortality was increased 76 per cent in the group with albumin levels of 16 to 29 μg per milliliter and 37 per cent in the group with levels below 15.

We conclude that microalbuminuria in patients with Type II diabetes is predictive of clinical proteinuria and increased mortality. (N Engl J Med 1984; 310:356–60.)

Funding and Disclosures

Supported by the Danish Medical Research Council.

We are indebted to Michael Wacth, Department of Theoretical Statistics, Aarhus University, for advice on the statistical aspects of estimates of relative mortality; and to Mrs. Bodil Willumsen for skillful technical assistance.

Author Affiliations

From the Second University Clinic of Internal Medicine, Kommunehospitalet, DK-8000 Aarhus C, Denmark, where reprint requests should be addressed to the author.

Appendix

Given the sex and age of a patient in 1973, one can calculate the expected probability qo that he or she will be alive in 1983. The probability of the patient's reaching the given age in 1973 is Sai, and the corresponding figure for 1983 is Sbi: _i11image

for a 10-year period). Linear interpolation was used for obtaining qo values for the non-integer 9.5-year period of the study. By definition, Pi = 1 - qi is the expected probability that the patient will die in the period. In a given group of n patients, _i12image

is therefore the expected number of deaths that, when compared with the actual number of deaths D in the group, estimates the relative mortality: D/ED. The significance of an observed increased mortality is judged by _i13image

where c by a central limit theorem has an approximately normal distribution.8

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