Intended for healthcare professionals

Papers

Predictors for the development of microalbuminuria and macroalbuminuria in patients with type 1 diabetes: inception cohort study

BMJ 2004; 328 doi: https://doi.org/10.1136/bmj.38070.450891.FE (Published 06 May 2004) Cite this as: BMJ 2004;328:1105
  1. Peter Hovind (phovind{at}dadlnet.dk), medical doctor1,
  2. Lise Tarnow, medical doctor1,
  3. Peter Rossing, medical doctor1,
  4. Malene Graae, consultant nurse1,
  5. Inge Torp, laboratory technician1,
  6. Christian Binder, chief physician1,
  7. Hans-Henrik Parving, professor1
  1. 1Steno Diabetes Center, Niels Steensens Vej 2, DK-2820 Gentofte, Denmark
  1. Correspondence to: P Hovind
  • Accepted 5 March 2004

Abstract

ObjectiveTo evaluate baseline predictors for the development of persistent microalbuminuria and macroalbuminuria prospectively in patients with type 1 diabetes.

DesignProspective observational study of an inception cohort.

SettingOutpatient diabetic clinic in a tertiary referral centre, Gentofte, Denmark.

Participants286 patients (216 adults) newly diagnosed with type 1 diabetes consecutively admitted to the clinic between 1 September 1979 and 31 August 1984.

Main outcome measuresPersistent microalbuminuria and persistent macroalbuminuria.

ResultsDuring the median follow up of 18.0 years (range 1.0-21.5 years), total of 4706 patient years of follow up, 79 of 277 (29%) patients developed persistent microalbuminuria. 27 of 79 progressed further to persistent macroalbuminuria. The cumulative incidence of persistent microalbuminuria and persistent macroalbuminuria was 33.6% (95% confidence interval 27.2% to 40.0%) and 14.6% (8.9% to 20.3%), respectively. Significant predictors for the development of persistent microalbuminuria were a 10-fold increase in urinary albumin excretion rate (relative risk 3.78, 1.57 to 9.13), being male (2.41, 1.43 to 4.06), a 10 mm Hg increase in mean arterial blood pressure (1.38, 1.20 to 1.57), a 1% increase in haemoglobin A1c(1.18, 1.04 to 1.32), and a 1 cm increase in height (0.96, 0.95 to 0.98). 28 patients with microalbuminuria (35%) regressed to normoalbuminuria either transiently (n = 15) or permanently (n = 13).

ConclusionsAround one third of patients newly diagnosed with type 1 diabetes develop persistent microalbuminuria within the first 20 years of diabetes. Several potentially modifiable risk factors predict the development of persistent microalbuminaria and persistent macroalbuminuria.

Introduction

Persistent microalbuminuria (urinary albumin excretion rate between 30 and 300 mg/24 h) is an established risk factor for the development of overt diabetic nephropathy (urinary albumin excretion rate > 300 mg/24 h).13 Microalbuminuria may be regarded as an early marker of diabetic kidney disease, as renal structural lesions can be detected at this stage.4Previous studies on risk factors for the development of microalbuminuria and diabetic nephropathy are based on prevalence cohorts, often with short term follow up, and include patients with varying duration of diabetes, thus introducing potential selection and survivor bias.58We analysed a large inception cohort of patients newly diagnosed with type 1 diabetes followed for a median of 18 years to evaluate baseline predictors for the development of persistent microalbuminuria and diabetic nephropathy. We also explored factors associated with regression of microalbuminuria to normoalbuminuria (urinary albumin excretion rate < 30 mg/24 h).

Methods

Our study sample comprised all patients newly diagnosed with type 1 diabetes consecutively admitted to the Steno Diabetes Centre between 1 September 1979 and 31 August 1984.9The inception cohort included 286 patients (fig 1). Nine patients were excluded; seven had serious mental illness and two had microalbuminuria at the onset of diabetes.

The patients attended the outpatient clinic every three or four months as part of routine follow up. They were treated by diabetologists and nurses according to previously described guidelines.9They received no specific intervention. From 1 January 1980, haemoglobin A1cwas measured at each visit.9

Urinary albumin excretion over 24 hours was measured in each patient at least once a year.9Persistent microalbuminuria and persistent macroalbuminuria were defined as a urinary albumin excretion rate between 30 and 300 mg/24 h and > 300 mg/24 h, respectively, in at least two of three consecutive samples, with an increase of at least 30% above the baseline level.1011Regression to normoalbuminuria from microalbuminuria was defined as a urinary albumin excretion rate less than 30 mg/24 h in two of three consecutive 24 hour urine collections and a decrease of at least 30% from the microalbuminuria level, sustained for at least one year. Basal serum C peptide levels were measured by radioimmunoassay after an overnight fast.12

Arterial blood pressure was measured at least once a year with a standard mercury sphygmomanometer while the patient was sitting after resting for 10 minutes. Patients were classified as smokers if they smoked more than one cigarette a day; smoking history was elicited by questionnaire. Retinopathy was assessed through dilated pupils and graded as absent, simplex, or proliferative.9

Statistical analysis

Baseline data were from the first assessment six months after the onset of type 1 diabetes, after initial glycaemic stabilisation. Baseline data are expressed as means (standard deviations) or medians (interquartile ranges) and follow up data are expressed as means (standard errors of means) or geometric means (95% confidence intervals). We compared groups by unpaired Student's ttest for normally distributed variables and by Kruskal-Wallis test for non-normally distributed continuous variables. Frequencies were compared by χ2test. We calculated the cumulative incidence of microalbuminuria and macroalbuminuria using a life table method based on follow up ending on 31 December 2000. A Cox proportional hazards regression model was used to evaluate the relative contributions of covariates to the risk of developing persistent microalbuminuria, correcting for duration of follow up. Variables included were sex, age, smoking status, arterial blood pressure, log urinary albumin excretion rate, haemoglobin A1cconcentration, height, weight, cholesterol concentration, and fasting plasma C peptide level. A stepwise backward selection was used. The rate of progression in urinary albumin excretion rate was determined by linear regression analysis of logarithmically transformed values. We considered a P value of 0.05 or less as significant. Analyses were performed with SPSS (version 12).

Results

We followed 277 patients newly diagnosed with type 1 diabetes for a median of 18.0 years (range 1.0-21.5 years) with a total of 4706 patient years of follow up. Overall, 79 patients developed persistent microalbuminuria (cumulative incidence 33.6% (95% confidence interval 27.2% to 40.0%). Of these, 27 progressed to persistent macroalbuminuria (14.6% (8.9% to 20.3%; 2). The urinary albumin excretion rate remained less than 30 mg/24 h in 198 patients. Males predominated in the group that progressed to microalbuminuria (1). At baseline, urinary albumin excretion rate and systolic and diastolic blood pressure were significantly higher in patients who developed persistent microalbuminuria (1). Patients who developed microalbuminuria tended to be shorter than those remaining normoalbuminuric. The two groups were similar for age at onset of diabetes, body weight, haemoglobin A1c concentration, serum cholesterol and creatinine concentrations, and fasting plasma C peptide level. No patients had diabetic retinopathy at baseline.

Fig 2
Fig 2

Cumulative incidence of persistent microalbuminuria (79 events) and macroalbuminuria (progressed from microalbuminuria, 27 events) in 277 patients newly diagnosed with type 1 diabetes from 1979 to 1984

Table 1

Baseline characteristics of 277 patients followed from onset of type 1 diabetes and progression to microalbuminuria. Values are means (SDs) unless stated otherwise

View this table:

During follow up, urinary albumin excretion showed a sustained increase in patients who developed microalbuminuria (2). Haemoglobin A1cconcentration was significantly higher in the group that developed microalbuminuria (9.1% v8.4%, P < 0.001). This group also had more patients who developed severe retinopathy and more patients who started antihypertensive treatment (62% v14%, P < 0.001; 2). We found no differences between groups for smoking status, height, or weight.

Table 2

Table 2 Clinical data before development of microalbuminuria and during observation period in 277 patients followed from onset of type 1 diabetes. Values are numbers (percentages) unless stated otherwise

View this table:

Significant baseline predictors for the development of persistent microalbuminuria were urinary albumin excretion rate, being male, mean arterial blood pressure, haemoglobin A1cconcentration, and height (3). No additional risk factors were included in the model after exclusion of baseline urinary albumin excretion rate or patients receiving antihypertensive treatment before onset of microalbuminuria (n = 6).

Table 3

Cox proportional hazard model of baseline risk factors for development of persistent microalbuminuria in 277 patients with type 1 diabetes followed for 18 years

View this table:

The 79 patients who progressed to persistent microalbuminuria were followed for a median of 7.5 years (range 0.1 to 15.8 years) after onset of microalbuminuria. During follow up, 28 of these patients (35.4%) regressed to normoalbuminuria either transiently (n = 15) or permanently (n = 13; 4). The cumulative incidence of regression over six years was 31% (20% to 42%). Angiotensin converting enzyme inhibitors were taken by 11 of these patients. Three of the patients who regressed permanently to normoalbuminuria were treated with angiotensin converting enzyme inhibitors before and during regression, thus 10 patients underwent spontaneous permanent regression (13%). Patients who became normoalbuminuric had a lower arterial blood pressure, urinary albumin excretion rate, and serum cholesterol concentration at onset of microalbuminuria than those with sustained microalbuminuria (4). The time from onset of diabetes to development of persistent microalbuminuria was 9.2 years in patients who became normoalbuminuric and 11.2 years in those with sustained microalbuminuria. Similarly, we found no difference in the yearly increase in urinary albumin excretion rate from onset of diabetes (baseline level 11 mg/24 h) to development of microalbuminuria between patients who later reverted to normoalbuminuria and those with sustained microalbuminuria (19%/year v21%/year). Eleven of the 79 patients (14%) with microalbuminuria were not followed until 2000 (eight died, three were lost to follow up), but we ascertained data up to their last clinic visit. None of the patients who developed macroalbuminuria spontaneously regressed to microalbuminuria or normoalbuminuria.

Table 4

Characteristics of 79 patients with type 1 diabetes at onset of microalbuminuria: regression to normoalbuminuria compared with progression to persistent microalbuminuria or persistent macroalbuminuria. Values are means (SDs) unless stated otherwise

View this table:

Discussion

Around one third of patients newly diagnosed with type 1 diabetes develop persistent microalbuminuria within the first 20 years of diabetes. Baseline factors independently associated with progression to persistent microalbuminuria were urinary albumin excretion rate, being male, mean arterial blood pressure, haemoglobin A1cconcentration, and height. Over one third of the patients regressed from persistent microalbuminuria to transient or permanent normoalbuminuria. Only 13% spontaneously regressed to permanent normoalbuminuria. We applied generally accepted guidelines to reduce the confounding influence of variability in urinary albumin excretion rate on classification to normoalbuminuria, microalbuminuria, or macroalbuminuria.13To make the criteria even more stringent, we required a change of at least 30% in urinary albumin excretion rate.1011

The use of baseline data rather than follow up data in observational studies can result in systematic and substantial underestimation of the strength of the association between baseline data and disease—so called regression dilution bias.14Consequently our estimates of baseline predictors for development of persistent microalbuminuria may be regarded as conservative. Previous studies of risk factors for microalbuminuria in type 1 diabetes are based largely on prevalence cohorts with varying duration of diabetes at inclusion, and follow up for less than 10 years.58We performed a long term study of an inception cohort, which minimises bias due to inclusion, exclusion, and survival.

Even when the urinary albumin excretion rate was within the normal range at baseline it was a strong predictor for development of persistent microalbuminuria. This finding confirms and extends data from previous prospective studies in patients with type 1 or type 2 diabetes.57 8 15 16An increased urinary albumin excretion rate even within the normal range probably reflects abnormal glomerular haemodynamics and permselectivity which may predispose to diabetic glomerulopathy.217

Differences in people's susceptibility to renal problems may be explained by differences in renal functional reserve capacity, as recently shown in patients with primary hypertension.18Patients with reduced renal functional reserve capacity may be more prone to microalbuminuria when exposed to conditions such as hyperglycaemia or hypertension.

Men are at a higher risk of developing incipient or overt diabetic nephropathy. Whether this is due to genetic, hormonal, or environmental factors is unclear. Animal studies suggest that sex steroids may play a part in the pathogenesis of diabetic microangiopathy.19

Our study suggests that systemic increases in blood pressure, even at the onset of diabetes and within the normal range, have an important role in the development of persistent microalbuminuria, supporting the concept that glomerular hypertension is crucial in the initiation and progression of diabetic kidney disease.17Previous studies have shown that a familial predisposition to hypertension increases the risk of developing diabetic nephropathy.2021. Observational studies have, however, produced conflicting results.58These discrepancies may in part be due to differences in study design, methods of blood pressure measurement, the study population, duration of follow up, and other potential biases. Changes in systemic blood pressure may be small, which makes detection difficult unless validated, precise methods are used, such as ambulatory blood pressure measurements over 24 hours.22

Observational and intervention studies have shown that hyperglycaemia and glycaemic control play a major part in the development of microalbuminuria in patients with type 1 diabetes.58 2324We have shown that poor glycaemic control at onset of diabetes (determined by first assessment of haemoglobin A1c concentration six months after the onset of type 1 diabetes) is an important predictor for the development of microalbuminuria. Efforts should therefore be made to normalise glycaemia when diabetes is first diagnosed. Our observations confirm the latest conclusions from the epidemiology of diabetes interventions and complications research study.25

Previously we showed a relation between short stature and development of overt diabetic nephropathy.26It has been suggested that impaired intrauterine growth leads to a reduction in the number of nephrons, leading to systemic and glomerular hypertension in adulthood.27Our current data support this hypothesis.

Regression from persistent microalbuminuria to normoalbuminuria occurred in over one third of our study population, with more than half of the patients relapsing to persistent microalbuminuria. Regression occurred spontaneously, as well as in those treated with angiotensin converting enzyme inhibitors. Only 13% underwent spontaneous permanent regression to normoalbuminuria without antihypertensive treatment. The patients undergoing regression had significantly lower arterial blood pressure, a lower urinary albumin excretion rate, and a lower serum cholesterol concentration at onset of microalbuminuria, and consequently they had a higher chance of reversal of renal lesions.2829Finally, misclassification may have played a part. A recent report showed that regression from persistent microalbuminuria to normoalbuminuria is common in patients with type 1 diabetes.30Since angiotensin converting enzyme inhibitors were not associated with regression to microalbuminuria, the data suggest spontaneous normalisation. The difference in the proportion of patients who regressed in the two studies may be partly explained by differences in design. One study evaluated a prevalence cohort, introducing the possibility of inclusion, exclusion, and survival bias.

  • What is already known on this topic

  • Risk factors for microalbuminuria and diabetic nephropathy are based on prevalence cohorts, often with short term follow up

  • Spontaneous regression of microalbuminuria to normoalbuminuria has been suggested to be common in patients with type 1 diabetes

  • What this study adds

  • Around one third of patients develop persistent microalbuminuria within 20 years of onset of type 1 diabetes

  • Urinary albumin excretion rate, arterial blood pressure, and glycaemic control at onset of diabetes predict progression from normoalbuminuria to microalbuminuria or macroalbuminuria

  • Spontaneous permanent regression from microalbuminuria to normoalbuminuria is rare, suggesting that, in most cases, microalbuminuria represents relentless progressive nephropathy

We found a lower cumulative incidence of diabetic nephropathy than with previous prevalence cohorts from the same institution.9This may be explained by improved glycaemic control, lower blood pressure, and fewer smokers.9

Amendment

This is Version 2 of the paper. In this version the address for Hans-Henrik Parving has been changed. It is now given as the Steno Diabetes Center [in the previous version it was the University of Aarhus].

Acknowledgments

We thank Birgitte V Hansen, Ulla Smidt, Tina Juhl, Lotte Pietraszek, and Inge-Lise Rossing for expert technical assistance.

Footnotes

  • Contributors PH assessed and evaluated the patients during the last five years of follow up, planned and carried out the data analyses, and drafted the paper. LT, PR, BRJ, IT, MG, and CB reviewed the paper. LT assessed and evaluated the patients during the last 10 years of follow up. PR supervised the data analyses. BRJ participated in data collection and supervised data collection and laboratory analyses for the last 10 years. IT participated in data collection and supervised data collection and laboratory analyses until 1994. MG participated in data collection and the care and the follow up of the patients. CB designed the study, supervised all phases of the study including patient treatment and evaluation until 1994. H-HP supervised all phases of the study for the last 10 years, including patient treatment and evaluation, and supervised the writing of the paper. PH and H-HP will act as guarantors for the paper.

  • Funding This study was funded by the Danish Diabetes Association, the Paul and Erna Sehested Hansen Foundation, the Aase and Ejnar Danielsen Foundation, and the Per S Henriksen Foundation.

  • Conflict of interest CB holds stocks in Novo Nordisk, which makes products related to the treatment of diabetes, and is a paid consultant by the same company for clinical quality assurance and quality improvement in diabetes care.

  • Ethical approval This study was approved by the local ethics committee in Copenhagen.

References

View Abstract