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Division of Biostatistics, School of Public Health, University of
Minnesota, Minneapolis, Minnesota
Department of Laboratory Medicine and Pathology, Medical School,
University of Minnesota, Minneapolis, Minnesota
Department of Medicine, Northwestern University Medical School, Chicago,
Illinois.
Correspondence to Dr. Michael W. Steffes, Department of Laboratory Medicine and Pathology, MMC 609, 420 Delaware Street, SE, Minneapolis, MN 55455. Phone: 612-624-8164; Fax: 612-273-3489; E-mail: michael.w.steffes-1{at}tc.umn.edu
| Abstract |
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| Introduction |
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Advances in therapy directed specifically toward diabetic nephropathy, such as angiotensin-converting enzyme inhibitors, permit effective intervention in the course of nephropathy (9,10) and heighten interest in possible predictive and predisposing factors, such as a rising or elevated BP or AER (7,8). However, the DCCT failed to show a significant difference in mean BP between treatment groups, perhaps because fewer than 5% of participants progressed to hypertension (2,3,4).
Mathiesen et al. (11) reported that an increase in mean AER preceded an increase in mean DBP in a group of type 1 diabetic patients who were receiving conventional therapy and progressed to AER >30 mg/24 h. However, this conclusion was drawn from a group of patients who started the study with significantly higher baseline AER and hemoglobin A1c (HbA1c) levels than the remainder of the participants. Thus, the subgroup that showed the early rise in AER started with significantly higher values for both AER and HbA1c, so the effects of higher HbA1c confounded the higher initial levels of AER.
We examined these questions in a retrospective, case-control study from the publicly released DCCT data. We identified participants who progressed to clinical diabetic nephropathy (AER >300 mg/24 h on two successive annual measurements from a baseline <100 mg/24 h) and matched them with participants of the same gender and treatment group who had similar baseline values for DBP, SBP, AER, and, importantly, HbA1c but who did not progress to clinical diabetic nephropathy. This allowed comparisons over 6 yr of the AER and BP trajectories of those who progressed to clinical diabetic nephropathy with similar participants who did not. In addition to assessing mean behavior, we examined the order in which individuals crossed thresholds of hypertension and AER >300 mg/24 h.
| Materials and Methods |
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DCCT Measurements
Procedures used in the DCCT to measure BP, AER, HbA1c, and other
factors have been summarized previously
(1,2,3,4,13).
Briefly, SBP and DBP were measured with a random-zero sphygomomanometer twice
in a sitting position at quarterly visits in the clinic. Recorded BP was used
in all analyses whether or not the subject was treated for hypertension. With
a 4-hr collection of urine, AER was determined annually by a fluorescence
immunoassay and expressed in milligrams per 24 h
(4,13).
HbA1c was measured by HPLC, quarterly in participants in the
conventional treatment group and monthly for those in the intensive treatment
group
(1,2).
Retinopathy was evaluated twice yearly with stereo fundus photographs graded
by a modification of the Early Treatment Diabetic Retinopathy Study scale
(1,2,5).
A neuropathy classification was given to each participant, based on a
combination of neural function tests and a carefully administered
questionnaire (12). Finally,
several anthropomorphic measurements were completed annually (percentage of
ideal body weight and body mass index), with others (natural waist-to-hip
ratio and iliac waist-to-hip ratio) measured only at closeout of the study.
Because the more rapid growth during puberty may affect these parameters,
values were separately compared in the DCCT participants who were older than
17 yr at entry.
Patients
There were 1441 participants in the DCCT: 711 in the intensive treatment
group and 730 in the conventional treatment group. Because of the transient
increase in AER during pregnancy, all participants who became pregnant during
their participation in the DCCT were omitted from this analysis, leaving 617
in the intensive treatment group and 644 in the standard treatment group, for
a total of 1261. Participants were treated for hypertension when DBP exceeded
90 mmHg and/or SBP exceeded 140 mmHg on two consecutive readings 1 mo apart
(2). The annual visit when
hypertension was first diagnosed was recorded in the DCCT database.
Selection of Progressors and Matched Control Subjects
DCCT participants who progressed to clinical diabetic
nephropathyprogressorswere identified by the DCCT criteria: AER
> 300 mg/24 h on at least two consecutive visits as designated in the DCCT
database (NPH5PFLG) with the first annual visit when clinical diabetic
nephropathy began. We included only progressors whose baseline AER was <100
mg/24 h. There were 6 progressors in the intensively treated group and 21 in
the conventional group.
A matched control participant was selected for each progressor by the following criteria: match the progressor's gender and DCCT treatment group, within 10% of the progressor's baseline AER, and within 2 mmHg of the progressor's baseline DBP. Among nonprogressors who satisfied these four criteria, the nonprogressor with baseline HbA1c closest to the progressor was selected as the matched control.
Statistical Analyses
The progressors and matched control subjects were compared with the
remainder of their treatment group with respect to continuous variables by
two-sample t tests or
2 tests for proportions. Paired
t tests and McNemar's test were used to compare progressors to
matched controls and to compare both groups to their own baseline values. All
comparisons were first completed on data summarized on an annual basis. In all
analyses, AER was transformed to the logarithmic scale to correct for marked
skewness. Medians and ranges for AER are shown on the original scale (mg/24
h), but listed P values derive from analysis of means on the
logarithmic scale.
| Results |
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For the conventional treatment group, Figure 1 shows mean levels of AER, DBP, SBP, and HbA1c for the progressors, matched control subjects, and the rest of the participants during the first 6 yr of the DCCT. Figure 1 indicates significant differences between pairs of three subgroups at each year of the DCCT and also identifies the years in which progressors and matched control subjects were significantly different from their respective baseline values for AER, DBP, SBP, and HbA1c. The progressors' mean AER at year 2 was significantly above their own baseline, as well as the matched control subjects, and continued to rise for the duration of the study. In contrast, the progressors' mean DBP and SBP levels reached a significant increase over their baseline values only at years 3 and 4, respectively, and they were not significantly higher than the matched control subjects until year 4. Thus, on average, the conventional therapy progressors' rise in AER preceded the rise in DBP by 1 to 2 yr and SBP by 2 yr. Among the matched control subjects, mean AER and DBP remained essentially constant throughout the study, with no significant increases above baseline mean values. In fact, the matched control subjects' mean AER fell significantly below baseline at year 2.
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We also examined the priority of increases in AER and DBP in individual records of progressors and matched controls. Numbers of participants who were first diagnosed with hypertension or first experienced AER > 300 mg/24 h are given in Table 2. In the conventional treatment group, 7 (33%) progressors reached AER > 300 mg/24 h with no hypertension, 12 (57%) progressors experienced AER > 300 mg/24 h before hypertension, and only 2 (10%) progressors reached hypertension before AER > 300 mg/24 h. Altogether, 19 (90%) progressors in total demonstrated AER > 300 mg/24 h before hypertension.
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Regarding the intensive treatment group, Figure 2 shows mean AER, DBP, SBP, and HbA1c for the progressors, matched control subjects, and the rest of the participants in the same format as Figure 1. The order of significant increases in mean AER and DBP was reversed from that in the conventional treatment group: An increase in DBP at year 2 was followed in year 3 by a rise in AER above baseline levels. Importantly, these were also the points when the levels for the intensively treated progressors were first significantly higher than their matched control subjects. There were no differences in SBP until year 6. The increase and variability in DBP were consistent among the six progressors: Five of six experienced increases in DBP of 10 to 20 mmHg between years 1 and 2. The progressors' early spike in DBP did not reach the level indicating hypertension; only two of six (33%) progressors reached hypertension before AER > 300 mg/24 h, as shown in Table 2. No matched control subjects received a diagnosis of hypertension in the intensive treatment group.
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Comparing progressors in the conventional and intensive treatment groups, mean AER during the DCCT was indistinguishable; however, the intensively treated progressors had significantly higher DBP in year 2 (P = 0.027). In both treatment groups, the progressors showed consistently poorer glycemic control. In the conventional treatment group, the progressors' mean HbA1c remained approximately 1% higher than corresponding values for their matched control subjects and the remainder of the treatment group from years 1 through 5 (Figure 1) and never decreased significantly from baseline. A similar pattern occurred in the intensive treatment group during years 1 through 3 (Figure 2). Mean HbA1c in both intensive treatment progressors and matched control subjects fell significantly from baseline after 1 yr, yet both remained higher, on average, than the remainder of the intensive treatment group throughout the study (Figure 2).
In both treatment groups, progressors, matched control subjects, and the remaining participants all experienced substantial increases in percentage of ideal body weight and body mass index from baseline to DCCT year 6, as shown in Tables 1 and 3. However, there were no significant differences among the groups either at baseline or at year 6. Natural and iliac waist-to-hip ratios were measured only at the end of the DCCT; the groups were indistinguishable (Table 3). Although the pubertal increase in growth may affect these measures, the groups were still indistinguishable after omitting participants who were younger than 18 yr at baseline. Finally, comparing intensive progressors versus matched control subjects, there were no differences for family history of diabetic nephropathy or of hypertension, and there were no differences for current or past record of smoking.
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As noted above, there were significantly more progressors than matched control subjects with mild retinopathy at baseline. Among the conventional treatment progressor-matched control pairs, in 8 of the 21 pairs, the progressor had mild retinopathy at baseline and the matched control subject had none; there was only one such pair of six in the intensive treatment group.
| Discussion |
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Many studies that examined changes in AER in types 1 or 2 diabetes mellitus have been unable to eliminate the differences in glycemic control among normo-, micro-, and macroalbuminuric participants (11,18,19,20,21,22,23). Of particular importance to the present study, Mathiesen et al. (11) observed significantly lower baseline HbA1c differences of 8.5% versus 9.6% in patients who remained normoalbuminuric, compared with those who progressed to microalbuminuria in their study. Thus, initial differences in HbA1c and AER may have influenced the outcome. Therefore, we strove to eliminate these confounding factors in our retrospective case-control study, the conclusions of which extend the findings of Mathiesen et al. (11). Despite the care in matching control subjects for the progressors, there were several important differences among the progressors, matched control subjects, and the remaining study participants, as well as between treatment groups. In both treatment groups, progressors had longer duration of type 1 diabetes mellitus and a higher incidence of mild retinopathy. It was not possible to match progressors and controls for all characteristics, e.g., duration of diabetes mellitus and stimulated c-peptide levels, that may affect the progression of diabetic nephropathy.
That only 30% as many participants progressed to AER > 300 mg/24 h in the intensive treatment group suggests that strict glycemic control was highly effective in preventing the progression of nephropathy even in those with elevated baseline AER. This observation is similar to the differences in treatment effects found in the expression of the familial or genetic influences on the development of the microvascular complications of diabetes mellitus in the DCCT population (24). In other words, intensive diabetic management may reduce or ameliorate the effects of nondiabetic factors on the appearance and progression of the microvascular complications. Yet the small number of intensively treated DCCT participants who did progress to advanced or clinical diabetic nephropathy seem to have different characteristics underlying the development of diabetic nephropathy.
To evaluate other factors that affect the progression of diabetic renal disease, especially in the intensively treated participants, we assessed several anthropomorphic parameters. In general, the intensively treated participants gained more weight, and many had a lipid profile suggestive of the metabolic syndrome and thus had a greater risk to develop hypertension (25,26). In fact, the top quartile of intensively treated DCCT participants who gained weight clearly had increased BP (26). However, we found no anthropomorphic differences in our six intensively treated progressors versus their matched control subjects and remaining participants. Perhaps with more intensively treated participants progressing to diabetic nephropathy, the anticipated changes in anthropomorphic features may be seen.
Whether albuminuria is an indicator of structural diabetic nephropathy or an important factor in promoting its further progression (27) cannot be determined retrospectively. In other studies comparing structural and functional measures of diabetic nephropathy, the abnormal biochemical environment at an AER of approximately 50 mg/24 h clearly signaled morphometric determined glomerular lesions (15,16,17). The rise in AER to levels studied here indicated that biochemical, functional, and structural changes of diabetic nephropathy had occurred, usually in advance of increases in DBP. Therefore, albuminuria may synergistically promote the progression of diabetic nephropathy (27). However, we could not explore this issue limited to measures of renal function in this patient population.
In the conventional treatment group, patients who progressed to diabetic nephropathy exhibited a significant rise in mean AER 1 to 2 yr before rises in diastolic or systolic BP. These findings are in accord with those of Mathiesen et al. (11) and highlight the practical importance of elevated AER, not only as a predictor but likely as an indicator of the presence of diabetic nephropathy in most type 1 diabetic individuals (14,15,16). In most at-risk patients in the DCCT, these functional changes could be reversed with intensive management; in others, they could not. However, the intensive treatment progressors experienced these increases in reverse order, first DBP then AER at least a year later. Whether this observation indicated alternative pathophysiologic factors underlying the progression of diabetic nephropathy in the intensively treated participants needs more years of observation.
| Acknowledgments |
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| References |
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