OBJECTIVE—The aim of this work was to study the impact of glycemic control (HbA1c) early in disease and age at onset on the occurrence of incipient diabetic nephropathy (MA) and background retinopathy (RP) in childhood-onset type 1 diabetes.

RESEARCH DESIGN AND METHODS—All children, diagnosed at 0–14 years in a geographically defined area in northern Sweden between 1981 and 1992, were identified using the Swedish Childhood Diabetes Registry. From 1981, a nationwide childhood diabetes care program was implemented recommending intensified insulin treatment. HbA1c and urinary albumin excretion were analyzed, and fundus photography was performed regularly. Retrospective data on all 94 patients were retrieved from medical records and laboratory reports.

RESULTS—During the follow-up period, with a mean duration of 12 ± 4 years (range 5–19), 17 patients (18%) developed MA, 45 patients (48%) developed RP, and 52% had either or both complications. A Cox proportional hazard regression, modeling duration to occurrence of MA or RP, showed that glycemic control (reflected by mean HbA1c) during the follow-up was significantly associated with both MA and RP when adjusted for sex, birth weight, age at onset, and tobacco use as potential confounders. Mean HbA1c during the first 5 years of diabetes was a near-significant determinant for development of MA (hazard ratio 1.41, P = 0.083) and a significant determinant of RP (1.32, P = 0.036). The age at onset of diabetes significantly influenced the risk of developing RP (1.11, P = 0.021). Thus, in a Kaplan-Meier analysis, onset of diabetes before the age of 5 years, compared with the age-groups 5–11 and >11 years, showed a longer time to occurrence of RP (P = 0.015), but no clear tendency was seen for MA, perhaps due to lower statistical power.

CONCLUSIONS—Despite modern insulin treatment, >50% of patients with childhood-onset type 1 diabetes developed detectable diabetes complications after ∼12 years of diabetes. Inadequate glycemic control, also during the first 5 years of diabetes, seems to accelerate time to occurrence, whereas a young age at onset of diabetes seems to prolong the time to development of microvascular complications.

Long-term glycemic control and diabetes duration are well-known risk factors for the development of microvascular complications in type 1 diabetes, and it has also been shown that intensive insulin treatment and improved glycemic control delays the onset and slows the progression of these complication (1,2). Hyperglycemia is a necessary but not sufficient factor for development of diabetic nephropathy (3), whereas hyperglycemia seems to be the major risk factor for proliferative retinopathy (4). Other factors such as familial or genetic predisposition and perinatal factors may contribute (5,6). It is also hypothesized that diabetic microangiopathy in different organs is genetically heterogeneous (4) because, given sufficient diabetes duration, retinopathy is almost universal, but not all patients develop nephropathy (7). Neither will patients with nephropathy invariably have concomitant retinopathy (8). The risk factors involved in the development and progression are not identical for these two microvascular complications (9).

Puberty is a period of rapid growth and hormonal changes and is often characterized by a deterioration in glycemic control, and all of these factors may promote the development of diabetes complications (10,11). It has been discussed whether early, prepubertal, glycemic control contributes to the development of microvascular complications to a lesser degree than in later stages (12). On the other hand, growing evidence shows that microvascular complications can occur early even in the prepubertal years (1315) and that both short- and long-term glycemic control may be of importance (16).

The aim of this study was to estimate the occurrence of incipient diabetic nephropathy (MA) and background retinopathy (RP) in a group of young patients with type 1 diabetes treated according to a standardized diabetes care program. We also wanted to study the impact of early versus late glycemic control as well as age at onset after adjustments for other potential risk factors such as disease duration, tobacco use, birth weight, and sex.

Ninety-four children, ages 0–14 years old at onset of type 1 diabetes, who all initially were diagnosed and treated at the Department of Pediatrics at the Umeå University Hospital between 1981 and 1992, were identified through the Swedish Childhood Diabetes Registry, which covered 96–99% of all incident childhood-onset diabetes cases in Sweden (17). All children with type 1 diabetes in a geographically defined area were admitted to the hospital, and thus, this is considered a population-based study.

The city of Umeå is situated in the county of Västerbotten in northern Sweden at 62°N. The area of Västerbotten is 15,093 km2 with ∼200,000 inhabitants. Umeå is the largest city and has ∼100,000 inhabitants. The Department of Pediatrics at the University Hospital in Umeå covers ∼75% of the pediatric population in the county of Västerbotten (Umeå and Lycksele), which is an area with ∼30,000 children <15 years of age.

The treatment followed a nationwide childhood diabetes care program (18), and from 1981, HbA1c was measured every 3–4 months. The diabetes care program recommended eye examinations (fundus photography) in children to begin at 10 years of age independently of diabetes duration, at diagnosis in children >10 years of age, and then every second year if no lesions were seen. Screening for microalbuminuria was recommended yearly after >5 years of diabetes duration or after 12 years of age. Intensified insulin treatment, using multiple injections or insulin pumps, was also recommended and generally adopted. Data on these patients were retrieved from medical records and laboratory reports from the Departments of Pediatrics and Internal Medicine, where the patients were later followed up. Typically, the patients were referred at 19–20 years of age. Information on gestational age, birth weight, and birth length was collected from the Swedish Medical Birth Registry. For patients born before 1973, this information was collected from birth records from the hospitals in the county of Västerbotten. In January 2002, 93 of the patients were alive. One patient had died suddenly in bed at 17 years of age after 12 years of diabetes duration and had at that time no signs of microvascular complications. The study was approved by the Research Ethics Committee of Umeå University.

Diagnosis of nephropathy

We defined incipient nephropathy as follows: at least two of three consecutive overnight urine samples with albumin excretion rate 20–199 μg/min or an early morning sample with albumin concentration of 30–299 mg/l. Overt nephropathy was defined as ≥200 μg/min or ≥300 mg/l (19,20). The urine samples should be collected at a time interval of 6–12 months and the results documented in medical records or laboratory reports. There should be no indication of any other renal disease according to results from urine dipsticks or in the medical history. One of the investigators (M.S.) verified all the diagnoses of incipient nephropathy by scrutinizing medical records with respect to clinical data and laboratory reports. Onset of microalbuminuria was defined as the day when the first of two albumin-positive samples was collected.

Diagnosis of retinopathy

The patients were screened for retinal lesions according to the diabetes care program. Standardized screening photographs were taken after dilatation of the pupil and included two fields for each eye (the disk and macular). These photographs were assessed and judged by a skilled ophthalmologist (20). The results from these examinations were obtained from medical records from the Department of Ophthalmology. The first recording of any diabetes-related retinal lesion, commonly microaneurysms, was regarded as onset of RP.

Other clinical characteristics

Tobacco use was defined as current or previous tobacco use as recorded in medical records. No patient smoked or used snuff when diabetes was diagnosed. Birth weight and length were adjusted for gestational age and sex by using an SD score; an SD score of 0 represents the 50th centile, and 1.64 represents the 95th centile. Because data on pubertal stage, according to Tanner and in growth charts, was poorly described in medical records and because we wanted to study prepubertal age-groups, we used age 11 years as a proxy for the onset of puberty in both sexes. This is in accordance with other studies (15,21).

Blood and urine chemistry

The mean HbA1c level during the first 5 years of diabetes was used as a reflection of “early” glycemic control, and the period after 5 years of diabetes was defined as “late” glycemic control. HbA1c was followed to the onset of MA or RP or during the entire follow-up in patients without complications. The range of HbA1c for the total population, during the entire follow-up period or until onset of MA or RP, was used to stratify the study population as having “poor” and “fair” metabolic control. “Poor” control (HbA1c ≥8.2%) was the top quartile of the distribution of the mean HbA1c, and “fair” (HbA1c ≤7.4%) was the lower two quartiles. This definition gives a glycemic level in which “poor” is ≥9.2% and “fair” is ≤8.4% when adjusting to Diabetes Control and Complications Trial (DCCT) standards.

All HbA1c samples used in this study were analyzed at the Department of Clinical Chemistry, Umeå University Hospital. Between 1981 and 1985, HbA1c was analyzed by using an isoelectrical focusing technique (normal range 5–8%) (22), and thereafter until 1991, glycosylated hemoglobin was analyzed by using chromatography on boronate agarose gel (Glycoglobin Kit; Endocrine Sciences Products) (normal range 4.2–6%). Between 1991 and 1997, HbA1c was measured by high-pressure liquid chromatography (Integral 4000; BioRad, Anaheim, CA) (normal range 3.2–4.7%) (23). In 1997, a nationwide calibration of HbA1c analyses was made (Equalis Reference Swedish Laboratory), and the normal range in our laboratory was changed to 3.6–5.0%. All HbA1c values in the study were adjusted to be in accordance with this method by using regression equations among the different methods (1981–1985 y = 0.515x + 0.872; 1985–1991 y = 0.643x + 0.743; 1991–1997 y = 1.0379x + 0.1 in which y is the HbA1c value according to the present method used). A mean HbA1c during the early, late, and entire follow-up period was then estimated for each patient and was weighted for the time between the measurements (24). The HbA1c range in this study is approximately one percentage unit lower as compared with the DCCT standard (25).

Urine analyses between the years 1981 and 1994 were performed by immunological nephelometric analysis (26), and from 1994, immunoturbidometry (27) is used at the Department of Clinical Chemistry, Umeå University Hospital. The two methods have similar detection limits and correlate well with each other.

Statistical methods

Differences in mean values between groups were analyzed with the Student’s two-tailed t test, and proportions were tested using Fisher’s exact test. One-way ANOVA was used to test differences among age-at-onset groups. Data are presented as mean ± SD or as indicated. Cox proportional hazard analysis was used to adjust for duration of diabetes and to assess the potential influence of different confounding variables on the occurrence of MA and RP. Kaplan-Meier survival analysis with log-rank test for trends was used to estimate the probability of developing MA or RP in different age-groups. A P value <0.05 was considered statistically significant. Results are given with their 95% CIs. SPSS 10.0 Macintosh version (Software MacKiev Company, Cupertino, CA) was used to analyze data.

Clinical characteristics

The annual incidence of type 1 diabetes in northern Sweden in children 0–14 years of age is now ∼31/100,000. During the time period 1981–1992, there has been an increase in the annual incidence from 19 to 31/100,000 in northern Sweden. This is similar to the rest of Sweden (The Swedish Childhood Diabetes Study Group, unpublished data). The mean annual incidence in our study was 28/100,000, which is similar and indicates that all children in the area were identified.

For all patients, the mean diabetes duration at follow-up was 11.8 ± 3.5 years (range 5–19), the mean age at onset of diabetes was 8.9 ± 3.7 years (0.8–14.5), and mean HbA1c was 7.5 ± 1.2% (range 4.8–10.2%). Among patients who had no signs of either MA or RP (n = 45), the mean diabetes duration was significantly shorter than in patients with any microvascular complication: 10.1 ± 2.9 vs. 13.4 ± 3.2 years (P < 0.001). The median number of HbA1c measurements for all patients was 38 (range 8–72). The median number of eye and kidney examinations was 4 (range 0–11) and 9 (range 0–39), respectively. A strong correlation was found between the numbers of eye examinations and follow-up time (P < 0.0001) but not for kidney examinations (P = 0.280). No association was found between the number of examinations and glycemic level (mean HbA1c) (P = 0.081 and P = 0.601, respectively) when adjusting for diabetes duration. All children in this study had been examined at least according to these recommendations, and many were examined somewhat earlier and at a closer interval.

Seventeen (18%) of the 94 patients fulfilled the criteria for MA during the follow-up period. None of the patients developed overt nephropathy, elevated serum creatinine, or had signs of any other kidney disorder, e.g., hematuria, during the follow-up period. Seven (41%) of the patients with microalbuminuria were treated with ACE inhibitors. The mean time to diagnosis of MA was 9 ± 3 years (range 4–15) from diabetes onset. Forty-five (48%) of the 94 patients fulfilled the criteria for RP during the follow-up period. None of the patients developed proliferative retinopathy or were treated with photocoagulation. The mean time to diagnosis of RP was 11 ± 4 years (range 4–19) from onset of diabetes. Of the 45 patients with RP, 13 (29%) had concomitant MA, and thus 13 (76.5%) of the 17 patients with MA had concomitant RP. Table 1 shows clinical data on patients with and without MA or RP, respectively. Altogether, among the 94 patients, 32 (34%) had isolated RP, 4 (4%) had isolated MA, and 13 (14%) had combined RP and MA. Thus, 49 (52%) patients had either one or both complications and, hence, 45 (48%) had neither of these complications.

Glycemic control over time

Figure 1 shows the mean HbA1c levels ± SE over the total follow-up time in patients with and without MA and RP, respectively. The mean HbA1c level tended to be higher during the entire follow-up period among patients who developed RP, whereas in patients who developed MA, this was obvious only during the first 10 years. After 10 years of follow-up, there was a marked decreased in HbA1c levels in patients who developed MA, which was a decrease in mean HbA1c that was not paralleled in any of the other groups.

However, when calculating an updated mean of annual measurements of HbA1c (glycemic exposure) (28), the HbA1c level tended to be higher during the entire follow-up period both among patients who developed MA and those who developed RP when compared with patients without any microvascular complication (data not shown).

Multivariate analyses

To adjust for differences in diabetes duration among patients with and without MA and RP, respectively, and other potential risk factors, i.e., sex, low birth weight, age at onset of diabetes, and smoking, Cox proportional hazard regression models were designed for the three different periods of glycemic control. Results are shown in Tables 2 and 3.

When using an updated mean of annual measurements of HbA1c instead of the calculated glycemic level over time in these models, only minor, nonsignificant differences were found that did not alter the overall results (data not shown).

Incipient diabetic nephropathy

When modeling MA as a function of glycemic level up to the onset of MA or during the entire follow-up period, adjusting for sex, birth weight, age at onset of diabetes, and tobacco use, only glycemic control had a significant effect. An increase in hazard ratio (HR) of 83% per one percentage unit increase in mean HbA1c was seen. When early glycemic level (<5 years of diabetes duration) was considered, this estimate was nearly significantly associated (P = 0.0.83) and had an increase in HR of 41%. Whereas when using an estimate for late glycemic control after 5 years, until the onset of MA or during the entire follow-up period, a statistically significant effect was seen for onset of MA (P = 0.025) with an increase in HR of 45%.

Background retinopathy

The glycemic level until detection of RP or during the entire period and the first 5 years of diabetes (early) had significant effects (P = 0.020, P = 0.036) on development of RP. The increase in HR of developing RP for each percentage unit rise in HbA1c during the entire follow-up period was 43% and in the early period 32%. However, late glycemic level was not a significant determinant of RP (P = 0.897) probably due to low statistical power. Age at onset of diabetes was a weak but significant independent determinant for the development of RP in all regression models (P = 0.015, P = 0.018, and P = 0.010, respectively).

Effect of early glycemic control on MA and RP

Models of the cumulative hazard rates for development of MA and RP as functions of “poor” (HbA1c ≥8.2%) or “fair” (HbA1c ≤7.4%) glycemic control during the entire follow-up, the early period, and the late period were constructed. Significant differences for the development of MA were seen between groups when the late (P = 0.026) (data not shown) or the entire follow-up (P = 0.030) period was considered (Fig. 2A). For RP, a significant difference between groups was found during the entire follow-up (P = 0.001) period (Fig. 2B) but not when the early (P = 0.435) or the late (P = 0.677) period was entered separately into the model (data not shown). A near-significant difference for development of MA between groups was seen when the early (P = 0.061) period was entered into the model (Fig. 2C).

Effect of age at onset on MA and RP

We also studied the effect of age at onset on the development of MA and RP by dividing the patients into three groups: those who were <5 years (n = 17), 5–11 years (n = 42), and >11 years (n = 35) of age, respectively, at diagnosis. A significant difference in mean diabetes duration was seen among age-at-onset groups (13.7 ± 3.6, 11.8 ± 3.1, and 10.8 ± 3.5 years, respectively, P = 0.019), with the youngest age-group having the longest follow-up. No significant differences in mean HbA1c during follow-up (P = 0.252) was seen among the age-at-onset groups. A significant difference in the number of kidney (P = 0.009) but not eye (P = 0.912) examinations was found among the age-at-onset groups.

Kaplan-Meier analyses of the cumulative probability of developing MA and RP, as function of age at onset, were then calculated. There were no differences between groups when MA was considered, but a diagnosis of diabetes before the age of 5 years significantly prolonged the time to RP, compared with the age-groups 5–11 and >11 years (P = 0.015), as shown in Fig. 3.

The impact of overall and early glycemic level and age at onset of diabetes for the development of any microvascular complication (MA and/or RP) and for combined complications (MA and RP) were also analyzed. These findings were very similar to those described above for MA and RP, respectively, because the vast majority with MA also had RP.

In this retrospective study of the occurrence of early microvascular complications, i.e., incipient MA and RP, in a group of patients with childhood-onset type 1 diabetes, 18% developed MA and 48% RP during a mean follow-up of ∼12 years, and this occurred despite modern insulin treatment. This is in accordance with other comparable studies in children and adolescents (15,2932). However, a lower occurrence of renal involvement and retinopathy after ∼10 years in a nationwide study has been found in patients with onset of diabetes in young adulthood (15–34 years) (33,34). Despite that this study was relatively small and had a retrospective design, we were able to show that the glycemic level already during the first 5 years may be an important predictor of later development of both MA and RP. This is in accordance with previous prospective follow-up studies (16,30).

The mechanism behind the effect of early glycemic level on MA is unclear, but it could be speculated that the effect of hyperglycemia to promote early glomerular hyperfiltration (19,35) is partly responsible. The early glomerular hyperfiltration seen in some, but not all, patients at the onset of type 1 diabetes has been shown to predict both incipient and overt diabetic nephropathy (19,35,36). It has been hypothesized that glomerular hyperfiltration filtration will start a self-perpetuating glomerular injury (37,38).

Hyperglycemia is also associated with the development of advanced glycation end products (AGEs), which are believed to play an important role in the pathogenesis of both MA and RP (39,40) and may predict morphologic changes in the kidney (41). Changes in the level of AGEs is seen early, within 2 years of diabetes, and are correlated to the glycemic level (HbA1c) (42,43). The hypothesis of a “long-time glycemic memory” may be supported by findings in a follow-up study from the DCCT, where the reduction in risk of complications from intensive insulin therapy persists despite increasing hyperglycemia (44), perhaps also mediated via AGE levels (42).

Previously, male sex, smoking, and low birth weight have been shown to be risk factors for the development of nephropathy and retinopathy (6,4549). However, in this rather small retrospective study with a limited follow-up time, we could not confirm these associations; these factors were all controlled for in the analyses on the effect of glycemic level (HbA1c).

Some patients (23.5%) with MA did not have concomitant RP, and this is in accordance with some previous studies (8). These findings are important from a clinical point of view, as a lack of RP does not exclude MA.

In this study, we also found differences in the fall in HbA1c levels between patients developing MA and those developing RP. We speculate that the diagnosis of MA makes the diabetologist and the patient more active to control glycemia than the diagnosis of RP. This may perhaps be due to the fact that screening for microalbuminuria is done in the same department, and the result is present at patient visits in contrast to retinal screening, which is done in a different department and the report arrives to the diabetologist between patient visits.

Age at onset of diabetes was a weak but statistically significant risk factor for RP after adjusting for glycemic control and duration. Moreover, diagnosis of diabetes before the age of 5 years significantly prolonged the time to occurrence of RP, compared with the age-groups 5–11 and >11 years, indicating a protective effect of prepubertal duration. This could not be found for MA, but we need to bear in mind that the number of patients who developed microalbuminuria in our study was small. The results in other studies have been not been consistent; some showed a small impact of prepubertal diabetes duration (5052) on the development of complications and others failed to do so (10,12,21,53). The present study and other studies (15,54) indicate that children with an onset of diabetes before the age of 5 years may have a prolonged time to development of microvascular complications. Thus, the youngest age-groups, who are most sensitive to hypoglycemia with regard to risk of persistent brain damage, may have a relative protection during childhood or a longer time to development of complications. However, as the blood glucose level, both early and late, is a powerful predictor for future development of microvascular complications, one must continue to encourage the pediatric diabetologist to optimize the glucose level but at the same time avoid hypoglycemic episodes from the diagnosis of diabetes, regardless of age in these children.

When interpreting these results, it must be kept in mind that our study and others have a limited period of follow-up and that the estimated microalbuminuria is a surrogate marker for diabetic nephropathy. In our study, ∼40% of the patients diagnosed with MA normalized their microalbuminuria spontaneously during follow-up without treatment with ACE inhibitors. This is comparable with studies where determinants of regression and progression of microalbuminuria have been studied (16,55).

In conclusion, poor early glycemic control, already during the first 5 years of diabetes duration, was associated with development of detectable microvascular complications in >50% of young patients with type 1 diabetes with ∼12 years duration of type 1 diabetes. Onset of diabetes before the age of 5 years may, however, be associated with delay in the occurrence of complications. The clinical dilemma for the pediatric diabetologist to use intensified insulin treatments to decrease hyperglycemia without increasing the frequency of severe hypoglycemic episodes is still an important challenge for the future.

Figure 1—

Glycemic level (mean HbA1c, %) every second year of diabetes duration divided into patients with and without MA (A) and RP (B) at follow-up, respectively, presented as mean ± SE. n, number of patients in each group followed to the indicated time.

Figure 1—

Glycemic level (mean HbA1c, %) every second year of diabetes duration divided into patients with and without MA (A) and RP (B) at follow-up, respectively, presented as mean ± SE. n, number of patients in each group followed to the indicated time.

Close modal
Figure 2—

Cumulative hazard rates (Cox regression) of developing MA (A) and RP (B) as functions of “poor” (HbA1c ≥8.2%) or “fair” (HbA1c ≤7.4%) glycemic control to onset of complication or during 14 years of follow-up (75th percentile of diabetes duration). MA as functions of “poor” (HbA1c ≥8.2%) or “fair” (HbA1c ≤7.4%) glycemic control during the first 5 years of diabetes (early) (C). n, number of patients in each group followed to the indicated time.

Figure 2—

Cumulative hazard rates (Cox regression) of developing MA (A) and RP (B) as functions of “poor” (HbA1c ≥8.2%) or “fair” (HbA1c ≤7.4%) glycemic control to onset of complication or during 14 years of follow-up (75th percentile of diabetes duration). MA as functions of “poor” (HbA1c ≥8.2%) or “fair” (HbA1c ≤7.4%) glycemic control during the first 5 years of diabetes (early) (C). n, number of patients in each group followed to the indicated time.

Close modal
Figure 3—

Cumulative probability (Kaplan-Meier) of developing RP for years of diabetes duration. Groups are represented by age at diagnosis: <5, 5–11, and >11 years. n, number of patients in each age-at-onset group.

Figure 3—

Cumulative probability (Kaplan-Meier) of developing RP for years of diabetes duration. Groups are represented by age at diagnosis: <5, 5–11, and >11 years. n, number of patients in each age-at-onset group.

Close modal
Table 1—

Clinical and biochemical characteristics at follow-up among patients with and without MA and RP, respectively

MANo MAPRPNo RPP
n 17 77  45 49  
Sex       
 Boys 11 (65) 36 (47) 0.28 21 (47) 26 (53) 0.68 
 Girls 6 (35) 41 (53)  24 (53) 23 (47)  
Birth weight (SD score) −0.66 to 1.48 −1.34 to 1.74 0.12 −0.91 to 1.00 −1.34 to 1.74 0.52 
Diabetes onset (years) 8.7 ± 2.9 9.0 ± 3.9 0.77 9.1 ± 3.7 8.8 ± 3.7 0.71 
Age of onset of diabetes       
 <5 years 2 (12) 15 (88) 0.31 7 (41) 10 (59) 0.78 
 5–11 years 11 (25) 34 (75)  23 (49) 22 (51)  
 >11 years 4 (12) 28 (88)  15 (47) 17 (53)  
Diabetes duration (years) 13.7 ± 3.4 (7.2–18.5) 11.4 ± 3.3 (5.2–18.9) 0.01 13.5 ± 3.2 (7.2–18.9) 10.2 ± 2.9 (5.2–17.1) <0.01 
Tobacco use 1 (6) 7 (9) 1.00 6 (13) 2 (4) 0.15 
Mean HbAlc (%) during entire follow-up period 7.9 ± 1.2 (5.5–10.0) 7.4 ± 1.1 (4.8–10.2) 0.13 7.9 ± 1.1 (5.5–10.9) 7.1 ± 1.1 (4.8–9.9) 0.02 
Mean HbAlc (%) first 5 years of diabetes 7.3 ± 1.2 (5.2–9.8) 7.0 ± 1.3 (4.3–10.2) 0.33 7.3 ± 1.2 (5.2–10.2) 6.8 ± 1.3 (4.3–10.1) 0.031 
Mean HbAlc (%) after 5 years of diabetes 8.8 ± 1.9 (5.6–11.7) 7.7 ± 1.3 (5.1–11.0) 0.008 8.2 ± 1.6 (5.1–12.1) 7.7 ± 1.4 (5.6–11.7) 0.12 
BMI (kg/m2)* 22.8 ± 2.2 (19.4–26.8) 23.3 ± 2.5 (18.0–27.9) 0.43 23.2 ± 2.4 (18.6–26.8) 23.3 ± 2.5 (18.0–27.9) 0.89 
Mean arterial blood pressure (mmHg)* 89.4 ± 10.3 (62–102) 89.5 ± 6.5 (78–110) 0.98 90.1 ± 8.6 (62–110) 88.6 ± 5.3 (79–98) 0.40 
MANo MAPRPNo RPP
n 17 77  45 49  
Sex       
 Boys 11 (65) 36 (47) 0.28 21 (47) 26 (53) 0.68 
 Girls 6 (35) 41 (53)  24 (53) 23 (47)  
Birth weight (SD score) −0.66 to 1.48 −1.34 to 1.74 0.12 −0.91 to 1.00 −1.34 to 1.74 0.52 
Diabetes onset (years) 8.7 ± 2.9 9.0 ± 3.9 0.77 9.1 ± 3.7 8.8 ± 3.7 0.71 
Age of onset of diabetes       
 <5 years 2 (12) 15 (88) 0.31 7 (41) 10 (59) 0.78 
 5–11 years 11 (25) 34 (75)  23 (49) 22 (51)  
 >11 years 4 (12) 28 (88)  15 (47) 17 (53)  
Diabetes duration (years) 13.7 ± 3.4 (7.2–18.5) 11.4 ± 3.3 (5.2–18.9) 0.01 13.5 ± 3.2 (7.2–18.9) 10.2 ± 2.9 (5.2–17.1) <0.01 
Tobacco use 1 (6) 7 (9) 1.00 6 (13) 2 (4) 0.15 
Mean HbAlc (%) during entire follow-up period 7.9 ± 1.2 (5.5–10.0) 7.4 ± 1.1 (4.8–10.2) 0.13 7.9 ± 1.1 (5.5–10.9) 7.1 ± 1.1 (4.8–9.9) 0.02 
Mean HbAlc (%) first 5 years of diabetes 7.3 ± 1.2 (5.2–9.8) 7.0 ± 1.3 (4.3–10.2) 0.33 7.3 ± 1.2 (5.2–10.2) 6.8 ± 1.3 (4.3–10.1) 0.031 
Mean HbAlc (%) after 5 years of diabetes 8.8 ± 1.9 (5.6–11.7) 7.7 ± 1.3 (5.1–11.0) 0.008 8.2 ± 1.6 (5.1–12.1) 7.7 ± 1.4 (5.6–11.7) 0.12 
BMI (kg/m2)* 22.8 ± 2.2 (19.4–26.8) 23.3 ± 2.5 (18.0–27.9) 0.43 23.2 ± 2.4 (18.6–26.8) 23.3 ± 2.5 (18.0–27.9) 0.89 
Mean arterial blood pressure (mmHg)* 89.4 ± 10.3 (62–102) 89.5 ± 6.5 (78–110) 0.98 90.1 ± 8.6 (62–110) 88.6 ± 5.3 (79–98) 0.40 

Data are means ± SD (range) or n (%);

*

At 18 years of age, numbers of patients with information on these variables were 74 for BMI and 71 for blood pressure.

Table 2—

Cox proportional hazard of risk factors for developing MA

VariableGlycemic level during the entire follow-up period
Glycemic level during 0–5 years of diabetes
Glycemic level during >5 years of diabetes
Hazard rate95% CIHazard rate95% CIHazard rate95% CI
Glycemic level (HbA1c, %) 1.83 1.06–3.16 1.41 0.96–2.08 1.45 1.05–2.00 
Sex (boys vs. girls) 2.85 0.93–8.70 2.15 0.75–6.10 1.55 0.55–4.38 
Birth weight (SD score) 2.13 0.92–5.03 2.00 0.85–4.68 1.86 0.76–4.55 
Age at onset (years) 1.03 0.91–1.17 1.05 0.93–1.19 1.04 0.92–1.19 
Tobacco use (yes vs. no) 0.57 0.07–4.63 0.71 0.09–5.74 0.82 0.10–6.61 
VariableGlycemic level during the entire follow-up period
Glycemic level during 0–5 years of diabetes
Glycemic level during >5 years of diabetes
Hazard rate95% CIHazard rate95% CIHazard rate95% CI
Glycemic level (HbA1c, %) 1.83 1.06–3.16 1.41 0.96–2.08 1.45 1.05–2.00 
Sex (boys vs. girls) 2.85 0.93–8.70 2.15 0.75–6.10 1.55 0.55–4.38 
Birth weight (SD score) 2.13 0.92–5.03 2.00 0.85–4.68 1.86 0.76–4.55 
Age at onset (years) 1.03 0.91–1.17 1.05 0.93–1.19 1.04 0.92–1.19 
Tobacco use (yes vs. no) 0.57 0.07–4.63 0.71 0.09–5.74 0.82 0.10–6.61 
Table 3—

Cox proportional hazard of risk factors for developing RP

VariableGlycemic level during the entire follow-up period
Glycemic level during 0–5 years of diabetes
Glycemic level during >5 years of diabetes
Hazard rate95% CIHazard rate95% CIHazard rate95% CI
Glycemic level (HbA1c, %) 1.43 1.06–1.94 1.32 1.02–1.71 1.01 0.85–1.21 
Sex (boys vs. girls) 0.87 0.45–1.66 0.87 0.46–1.67 0.90 0.47–1.70 
Birth weight (SD score) 1.26 0.74–2.16 1.13 0.66–1.92 1.00 0.59–1.69 
Age at onset (years) 1.11 1.02–1.20 1.10 1.02–1.20 1.11 1.03–1.21 
Tobacco use (yes vs. no) 1.15 0.41–3.22 1.26 0.46–3.50 1.39 0.51–3.75 
VariableGlycemic level during the entire follow-up period
Glycemic level during 0–5 years of diabetes
Glycemic level during >5 years of diabetes
Hazard rate95% CIHazard rate95% CIHazard rate95% CI
Glycemic level (HbA1c, %) 1.43 1.06–1.94 1.32 1.02–1.71 1.01 0.85–1.21 
Sex (boys vs. girls) 0.87 0.45–1.66 0.87 0.46–1.67 0.90 0.47–1.70 
Birth weight (SD score) 1.26 0.74–2.16 1.13 0.66–1.92 1.00 0.59–1.69 
Age at onset (years) 1.11 1.02–1.20 1.10 1.02–1.20 1.11 1.03–1.21 
Tobacco use (yes vs. no) 1.15 0.41–3.22 1.26 0.46–3.50 1.39 0.51–3.75 

This study was supported by grants from the Faculty of Medicine at Umeå University, the Swedish Diabetes Association, and the Swedish Research Council (medicine, project 07531).

We thank research nurses Eva Kihl, Pia Roslin, Hjördis Andersson, Kristina Öjbrandt, and Ingela Lavin for help in retrieving patients and data from medical records, Prof. Stefan Marklund for valuable help on HbA1c evaluation/methods, and Marie Eriksson for statistical advice.

1.
The Diabetes Control and Complications Trial Research Group: The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus.
N Engl J Med
329
:
977
–986,
1993
2.
The Diabetes Control and Complications Trial Research Group: Effect of intensive diabetes treatment on the development and progression of long-term complications in adolescents with insulin-dependent diabetes mellitus: Diabetes Control and Complications Trial.
J Pediatr
125
:
177
–188,
1994
3.
Rossing P, Hougaard P, Parving HH: Risk factors for development of incipient and overt diabetic nephropathy in type 1 diabetic patients: a 10-year prospective observational study.
Diabetes Care
25
:
859
–864,
2002
4.
Keen H, Lee ET, Russell D, Miki E, Bennett PH, Lu M: The appearance of retinopathy and progression to proliferative retinopathy: the WHO Multinational Study of Vascular Disease in Diabetes.
Diabetologia
44 (Suppl. 2)
:
S22
–S30,
2001
5.
Viberti GC, Keen H, Wiseman MJ: Raised arterial pressure in parents of proteinuric insulin dependent diabetics.
Br Med J (Clin Res Ed)
295
:
515
–517,
1987
6.
Rudberg S, Stattin EL, Dahlquist G: Familial and perinatal risk factors for micro- and macroalbuminuria in young IDDM patients.
Diabetes
47
:
1121
–1126,
1998
7.
Kofoed-Enevoldsen A, Borch-Johnsen K, Kreiner S, Nerup J, Deckert T: Declining incidence of persistent proteinuria in type I (insulin-dependent) diabetic patients in Denmark.
Diabetes
36
:
205
–209,
1987
8.
Lovestam-Adrian M, Agardh E, Agardh CD: The incidence of nephropathy in type 1 diabetic patients with proliferative retinopathy: a 10-year follow-up study.
Diabetes Res Clin Pract
39
:
11
–17,
1998
9.
Kordonouri O, Danne T, Hopfenmuller W, Enders I, Hovener G, Weber B: Lipid profiles and blood pressure: are they risk factors for the development of early background retinopathy and incipient nephropathy in children with insulin-dependent diabetes mellitus?
Acta Paediatr
85
:
43
–48,
1996
10.
Dahlquist G, Rudberg S: The prevalence of microalbuminuria in diabetic children and adolescents and its relation to puberty.
Acta Paediatr Scand
76
:
795
–800,
1987
11.
Cummings EA, Sochett EB, Dekker MG, Lawson ML, Daneman D: Contribution of growth hormone and IGF-I to early diabetic nephropathy in type 1 diabetes.
Diabetes
47
:
1341
–1346,
1998
12.
Kostraba JN, Dorman JS, Orchard TJ, Becker DJ, Ohki Y, Ellis D, Doft BH, Lobes LA, LaPorte RE, Drash AL: Contribution of diabetes duration before puberty to development of microvascular complications in IDDM subjects.
Diabetes Care
12
:
686
–693,
1989
13.
Danne T, Kordonouri O, Hovener G, Weber B: Diabetic angiopathy in children.
Diabet Med
14
:
1012
–1025,
1997
14.
Kernell A, Dedorsson I, Johansson B, Wickstrom CP, Ludvigsson J, Tuvemo T, Neiderud J, Sjostrom K, Malmgren K, Kanulf P, Mellvig L, Gjotterberg M, Sule J, Persson LA, Larsson LI, Aman J, Dahlquist G: Prevalence of diabetic retinopathy in children and adolescents with IDDM: a population-based multicentre study.
Diabetologia
40
:
307
–310,
1997
15.
Schultz CJ, Konopelska-Bahu T, Dalton RN, Carroll TA, Stratton I, Gale EA, Neil A, Dunger DB: Microalbuminuria prevalence varies with age, sex, and puberty in children with type 1 diabetes followed from diagnosis in a longitudinal study: Oxford Regional Prospective Study Group.
Diabetes Care
22
:
495
–502,
1999
16.
Rudberg S, Dahlquist G: Determinants of progression of microalbuminuria in adolescents with IDDM.
Diabetes Care
19
:
369
–371,
1996
17.
Dahlquist G, Blom L, Holmgren G, Hagglof B, Larsson Y, Sterky G, Wall S: The epidemiology of diabetes in Swedish children 0–14 years: a 6-year prospective study.
Diabetologia
28
:
802
–808,
1985
18.
Sjöblad S (Ed.):
Child and Adolescent Diabetes
. Lund, Studentlitteratur,
1996
19.
Mogensen CE, Christensen CK: Predicting diabetic nephropathy in insulin-dependent patients.
N Engl J Med
311
:
89
–93,
1984
20.
The Swedish National Board of Health and Welfare: Late diabetes complications. In
National Guidelines for Diabetes Care and Treatment
. Stockholm, The Swedish National Board of Health and Welfare,
1999
, p.
67
–68
21.
Janner M, Knill SE, Diem P, Zuppinger KA, Mullis PE: Persistent microalbuminuria in adolescents with type I (insulin-dependent) diabetes mellitus is associated to early rather than late puberty: results of a prospective longitudinal study.
Eur J Pediatr
153
:
403
–408,
1994
22.
Jeppsson JO, Franzen B, Gaal AB: Simplified determination of hemoglobin A1c in diabetic patients by use of electrofocusing. In
Electropheresis: Advanced Methods: Biochemical and Clinical Applications
. Berlin, De Gruyter,
1980
, p.
59
–61
23.
Jeppsson JO, Jerntorp P, Sundkvist G, Englund H, Nylund V: Measurement of hemoglobin A1c by a new liquid-chromatographic assay: methodology, clinical utility, and relation to glucose tolerance evaluated.
Clin Chem
32
:
1867
–1872,
1986
24.
Matthews JN, Altman DG, Campbell MJ, Royston P: Analysis of serial measurements in medical research.
BMJ
300
:
230
–235,
1990
25.
Kullberg CE, Bergstrom A, Dinesen B, Larsson L, Little RR, Goldstein DE, Arnqvist HJ: Comparisons of studies on diabetic complications hampered by differences in GHb measurements.
Diabetes Care
19
:
726
–729,
1996
26.
Lizana J, Hellsing K: Polymer enhancement of automated immunological nephelometric analysis, as illustrated by determination of urinary albumin.
Clin Chem
20
:
415
–420,
1974
27.
Teppo AM: Immunoturbidimetry of albumin and immunoglobulin G in urine.
Clin Chem
28
:
1359
–1361,
1982
28.
Hadden DR, Patterson CC, Atkinson AB, Kennedy L, Bell PM, McCance DR, Weaver JA: Macrovascular disease and hyperglycaemia: 10-year survival analysis in type 2 diabetes mellitus: the Belfast Diet Study.
Diabet Med
14
:
663
–672,
1997
29.
Chiumello G, Bognetti E, Meschi F, Carra M, Balzano E: Early diagnosis of subclinical complications in insulin dependent diabetic children and adolescents.
J Endocrinol Invest
12
:
101
–104,
1989
30.
Rudberg S, Ullman E, Dahlquist G: Relationship between early metabolic control and the development of microalbuminuria: a longitudinal study in children with type 1 (insulin-dependent) diabetes mellitus.
Diabetologia
36
:
1309
–1314,
1993
31.
Danne T, Weber B, Hartmann R, Enders I, Burger W, Hovener G: Long-term glycemic control has a nonlinear association to the frequency of background retinopathy in adolescents with diabetes: follow-up of the Berlin Retinopathy Study.
Diabetes Care
17
:
1390
–1396,
1994
32.
Bojestig M, Arnqvist HJ, Hermansson G, Karlberg BE, Ludvigsson J: Declining incidence of nephropathy in insulin-dependent diabetes mellitus.
N Engl J Med
330
:
15
–18,
1994
[published erratum appears in N Engl J Med 330:584, 1994]
33.
Henricsson M, Nystrom L, Blohme G, Ostman J, Kullberg C, Svensson M, Scholin A, Arnqvist HJ, Bjork E, Bolinder J, Eriksson JW, Sundkvist G: The incidence of retinopathy 10 years after diagnosis in young adult people with diabetes: results from the nationwide population-based Diabetes Incidence Study in Sweden (DISS).
Diabetes Care
26
:
349
–354,
2003
34.
Svensson M, Sundkvist G, Arnqvist HJ, Bjork E, Blohme G, Bolinder J, Henricsson M, Nystrom L, Torffvit O, Waernbaum I, Ostman J, Eriksson JW: Signs of nephropathy may occur early in young adults with diabetes despite modern diabetes management: results from the nationwide population-based Diabetes Incidence Study in Sweden (DISS).
Diabetes Care
26
:
2903
–2909,
2003
35.
Rudberg S, Persson B, Dahlquist G: Increased glomerular filtration rate as a predictor of diabetic nephropathy: an 8-year prospective study.
Kidney Int
41
:
822
–828,
1992
36.
Bangstad HJ, Osterby R, Rudberg S, Hartmann A, Brabrand K, Hanssen KF: Kidney function and glomerulopathy over 8 years in young patients with type I (insulin-dependent) diabetes mellitus and microalbuminuria.
Diabetologia
45
:
253
–261,
2002
37.
Hostetter TH, Rennke HG, Brenner BM: The case for intrarenal hypertension in the initiation and progression of diabetic and other glomerulopathies.
Am J Med
72
:
375
–380,
1982
38.
Mogensen CE: Microalbuminuria predicts clinical proteinuria and early mortality in maturity-onset diabetes.
N Engl J Med
310
:
356
–360,
1984
39.
Brownlee M, Cerami A, Vlassara H: Advanced glycosylation end products in tissue and the biochemical basis of diabetic complications.
N Engl J Med
318
:
1315
–1321,
1988
40.
Makita Z, Radoff S, Rayfield EJ, Yang Z, Skolnik E, Delaney V, Friedman EA, Cerami A, Vlassara H: Advanced glycosylation end products in patients with diabetic nephropathy.
N Engl J Med
325
:
836
–842,
1991
41.
Berg TJ, Bangstad HJ, Torjesen PA, Osterby R, Bucala R, Hanssen KF: Advanced glycation end products in serum predict changes in the kidney morphology of patients with insulin-dependent diabetes mellitus.
Metabolism
46
:
661
–665,
1997
42.
Chiarelli F, de Martino M, Mezzetti A, Catino M, Morgese G, Cuccurullo F, Verrotti A: Advanced glycation end products in children and adolescents with diabetes: relation to glycemic control and early microvascular complications.
J Pediatr
134
:
486
–491,
1999
43.
Monnier VM, Bautista O, Kenny D, Sell DR, Fogarty J, Dahms W, Cleary PA, Lachin J, Genuth S: Skin collagen glycation, glycoxidation, and crosslinking are lower in subjects with long-term intensive versus conventional therapy of type 1 diabetes: relevance of glycated collagen products versus HbA1c as markers of diabetic complications: DCCT Skin Collagen Ancillary Study Group: Diabetes Control and Complications Trial.
Diabetes
48
:
870
–880,
1999
44.
Retinopathy and nephropathy in patients with type 1 diabetes 4 years after a trial of intensive therapy: the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Research Group.
N Engl J Med
342
:
381
–389,
2000
45.
Orchard TJ, Dorman JS, Maser RE, Becker DJ, Drash AL, Ellis D, LaPorte RE, Kuller LH: Prevalence of complications in IDDM by sex and duration: Pittsburgh Epidemiology of Diabetes Complications Study II.
Diabetes
39
:
1116
–1124,
1990
46.
Rossing P, Tarnow L, Nielsen FS, Hansen BV, Brenner BM, Parving HH: Low birth weight: a risk factor for development of diabetic nephropathy?
Diabetes
44
:
1405
–1407,
1995
47.
Eshoj O, Vaag A, Borch-Johnsen K, Feldt-Rasmussen B, Beck-Nielsen H: Is low birth weight a risk factor for the development of diabetic nephropathy in patients with type 1 diabetes: a population-based case-control study.
J Intern Med
252
:
524
–528,
2002
48.
Chase HP, Garg SK, Marshall G, Berg CL, Harris S, Jackson WE, Hamman RE: Cigarette smoking increases the risk of albuminuria among subjects with type I diabetes.
JAMA
265
:
614
–617,
1991
49.
Ritz E, Ogata H, Orth SR: Smoking: a factor promoting onset and progression of diabetic nephropathy.
Diabetes Metab
26 (Suppl. 4)
:
54
–63,
2000
50.
McNally PG, Raymond NT, Swift PG, Hearnshaw JR, Burden AC: Does the prepubertal duration of diabetes influence the onset of microvascular complications?
Diabet Med
10
:
906
–908,
1993
51.
Donaghue KC, Fung AT, Hing S, Fairchild J, King J, Chan A, Howard NJ, Silink M: The effect of prepubertal diabetes duration on diabetes: microvascular complications in early and late adolescence.
Diabetes Care
20
:
77
–80,
1997
52.
Kordonouri O, Danne T, Enders I, Weber B: Does the long-term clinical course of type I diabetes mellitus differ in patients with prepubertal and pubertal onset: results of the Berlin Retinopathy Study.
Eur J Pediatr
157
:
202
–207,
1998
53.
Rogers DG, White NH, Shalwitz RA, Palmberg P, Smith ME, Santiago JV: The effect of puberty on the development of early diabetic microvascular disease in insulin-dependent diabetes.
Diabetes Res Clin Pract
3
:
39
–44,
1987
54.
Donaghue KC, Fairchild JM, Craig ME, Chan AK, Hing S, Cutler LR, Howard NJ, Silink M: Do all prepubertal years of diabetes duration contribute equally to diabetes complications?
Diabetes Care
26
:
1224
–1229,
2003
55.
Perkins BA, Ficociello LH, Silva KH, Finkelstein DM, Warram JH, Krolewski AS: Regression of microalbuminuria in type 1 diabetes.
N Engl J Med
348
:
2285
–2293,
2003

A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.