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09/03/13
Impact of C-Peptide Preservation on Metabolic and Clinical Outcomes
in the Diabetes Control and Complications Trial
John M. Lachin ScD1, Paula McGee MS
1, Jerry P. Palmer MD
2 for the DCCT/EDIC
Research Group*
1The Biostatistics Center, The George Washington University, Rockville Maryland
2Department of Medicine, University of Washington, Seattle, Washington; and the
Department of Medicine, DVA Puget Sound Health Care System, Seattle, Washington
*A complete list of the members of the DCCT/EDIC Research Group is provided in the
supplementary appendix published in New England Journal of Medicine, 2011;
365:2366-76.
For submission to Diabetes.
Words in Abstract: 198 < 200 max
Words in text: 3977 < 4000 max
References:
Tables: 3
Figures 3 (8 panels)
Page 1 of 47 Diabetes
Diabetes Publish Ahead of Print, published online October 2, 2013
2
Abstract
The DCCT established that a stimulated C-peptide concentration ≥0.2 nmol/L at
study entry among subjects with up to 5 years diabetes duration is associated with
favorable metabolic and clinical outcomes over the subsequent 7 years of follow-up.
Herein we further examine the association of both fasting and stimulated C-peptide
numerical values with outcomes. In the intensive treatment group, for a 50% higher
stimulated C-peptide on entry, such as from 0.10 to 0.15 nmol/L, HbA1c decreased by
0.07 HbA1c% (0.8 mmol/mol, p=0.0003); insulin dose decreased by 0.0276 U/kg/d
(p<0.0001); hypoglycemia risk was decreased by 8.2% (p<0.0001); and the risk of
sustained retinopathy was reduced by 25% (p=0.0010), all in unadjusted analyses. Other
than HbA1c, these effects remained significant after adjusting for the HbA1c on entry.
While C-peptide was not significantly associated with the incidence of nephropathy, it
was strongly associated with the albumin excretion rate. The fasting C-peptide had
weaker associations with outcomes.
As C-peptide decreased to non-measureable concentrations, the outcomes
changed in a nearly linear manner, with no threshold or breakpoint. While preservation of
stimulated C-peptide at ≥0.2 nmol/L has clinically beneficial outcomes, so also does an
increase in the concentration of C-peptide across the range of values.
Page 2 of 47Diabetes
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The concentration of C-peptide in response to a stimulus (mixed meal or glucagon
injection) has been established as a valid and reliable measure of residual beta cell
function (1, 2). C-peptide is co-secreted with insulin in an equimolar ratio and has a much
longer half-life.
In the Diabetes Control and Complications Trial (3), at study entry, the fasting
and stimulated C-peptide values were correlated (r = 0.83); values among adolescents
were significantly less than those among adults; and values for those with 1-5 y duration
were significantly greater than those with 5-15 y duration. Among subjects with 1-5 y
duration, over an average 6.5 years of follow-up, C-peptide responders with stimulated
C-peptide values ≥ 0.2 nmol/L had significantly lower values of HbA1c and blood
glucose and were receiving lower doses of insulin than the non-responders with C-
peptide<0.2 nmol/L (3).
During the DCCT, subjects assigned to intensive therapy had a 57% lower risk of
their C-peptide response falling to < 0.2 nmol/L at a subsequent annual assessment
compared to those receiving conventional treatment (4). Within the intensive group, the
C-peptide responders had lower risks of retinopathy progression and of severe
hypoglycemia.
Also within the intensive treatment group, the mean level of HbA1c over the
average of 6.5 years of DCCT follow-up was significantly lower by 0.4% among the C-
peptide responders than non-responders (7.0 vs. 7.4%, 53 vs. 57 mmol/mol, p < 0.0001).
In addition, there was a substantial reduction in the risk of nephropathy, but the effect
was not significant, likely due to the small number of events in this subset (N=49). In a
separate analysis, Steffes et al. (5) found that entry concentrations of C-peptide as low as
Page 3 of 47 Diabetes
4
0.04 nmol/L were significantly related to a reduced risk of both retinopathy and
nephropathy.
In this report we describe the association of the concentrations of C-peptide at
study entry, as well as the prior classification of responders and non responders, with
DCCT outcomes that include HbA1c, insulin dose, risk of progression of retinopathy,
nephropathy and neuropathy, and the incidence of hypoglycemia. For each we also
evaluate whether there is a generally increasing (or decreasing) association over the entire
range of C-peptide values versus a break-point.
Methods
C-peptide was measured at the initial eligibility screening visit (3). Specimens
were collected fasting (basal) and at 90 minutes (stimulated) following ingestion of a
liquid mixed meal, Sustacal®. C-peptide was measured centrally by radioimmunoassay
with the Novo M1230 antibody with a lower limit of detection of 0.03 nmol/L (3, 4).
Subjects with 1-5 years duration (n=855) were eligible for entry into the DCCT
with stimulated C-peptide <= 0.5 nmol/L, most (n = 657) of whom had measurable
concentrations. Those with 5 to 15 years duration (n = 586) were required to have values
≤ 0.2 nmol/L, most (n = 436) of whom had non-measurable concentrations (4). Eligible
subjects 13-39 years of age were randomly assigned to receive intensive versus
conventional therapy. The primary prevention cohort included 726 subjects with 1-5
years duration, no pre-existing retinopathy and normal albuminuria. The secondary
intervention cohort included 715 subjects with 1-15 years duration, pre-existing mild
retinopathy, and albumin excretion rate (AER) up to 200 mg/24 h (6).
Page 4 of 47Diabetes
5
Since the majority of subjects with diabetes duration ≥ 5 years had non-
measurable C-peptide at entry, analyses herein are based on the 855 subjects with 1 – 5 y
duration and stimulated C-peptide ≤ 0.5 nmol/L at DCCT entry from both the primary
(713) and secondary (142) cohorts. Of these, 303 subjects were classified as C-peptide
responders based on stimulated values between 0.2 – 0.5 nmol/L (138 intensive, 165
conventional), and the remaining 552 subjects were classified as non-responders with
stimulated values < 0.2 nmol/L (274 intensive, 278 conventional) (4).
Other DCCT methods have been extensively described (6). Briefly, HbA1c was
measured by high pressure liquid chromatography (HPLC) and insulin dose assessed
(units/kg of body weight) at eligibility screening and every three months during follow-
up. Retinopathy was assessed centrally based on seven field fundus photographs obtained
at study entry and every 6 months during follow-up. Timed collection of AER was
measured on entry and annually. The primary retinopathy outcome was three or more
step sustained progression on the final Early Treatment Diabetic Retinopathy Study
(ETDRS) scale of retinopathy severity from the level on entry or pan-retinal laser therapy
for retinopathy. Nephropathy was defined as an AER > 40 mg/24 h (microalbuminuria or
worse). Confirmed clinical neuropathy required the presence of both definite clinical
neuropathy by the neurologist’s examination and an abnormal nerve conduction study
consistent with a distal symmetrical polyneuropathy (7). Severe hypoglycemia was
defined as an episode that required the assistance of another person.
A local smoothing function (LOESS) assessed the linearity of the trend in the
relationship of log C-peptide with other outcomes (8). Normal errors longitudinal
regression models were employed to assess C-peptide effects on quantitative outcomes
Page 5 of 47 Diabetes
6
(HbA1c, insulin dose) over time using an unstructured covariance matrix (9). The log(C-
peptide) improved the linearity of the associations and better satisfied the assumptions of
approximately normally distributed and homoscedastic residuals. Thus, the change in
HbA1c or insulin dose per 50% higher C-peptide on entry, is obtained as log(1.5β), where
β is the coefficient for log(C-peptide) in the model. Owing to small sample sizes within
treatment groups observed at years 8 and 9 of follow-up (a result of staggered patient
entry), longitudinal analyses of quantitative outcomes (e.g. HbA1c) only include data
through year 7, with a mean follow-up of 5.3 years.
The Cox proportional hazards regression model (10) was employed to assess
associations with the risk of an event over time (retinopathy progression, nephropathy),
and its generalization, the multiplicative intensity model, likewise for recurrent
hypoglycemia. A logistic regression model assessed the association with neuropathy at 5
years of follow-up. Here as well the log(C-peptide) improved the fit of the models. Since
the model describes the log(risk) as a function of the log(C-peptide), the percentage
change in risk per a 50% higher C-peptide is computed as 100*(1.5β -1).
The stimulated response cut-point of 0.2 nmol/L was the 68th
percentile of the
distribution of stimulated C-peptide values. The corresponding cut-point for classification
of the fasting C-peptide response was 0.075 nmol/L. There was 83% agreement between
the classification of fasting versus stimulated C-peptide response versus not, with a
chance-corrected kappa index (10) of 0.63 (95% CI 0.55, 0.70) showing good agreement
between the two classifications.
Statistical test results were not adjusted for multiple tests of significance. Nominal
p ≤ 0.05 is employed to declare statistical significance.
Page 6 of 47Diabetes
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Results
Unless stated otherwise, all results refer to the stimulated C-peptide value
obtained at DCCT eligibility screening. Patient characteristics within intensive and
conventional treatment groups have been previously described (1, 4). Table 1 shows the
characteristics of the subjects with 1-5 years duration (mean 2.6 y) classified as
responders versus non-responders separately within the two treatment groups. Baseline
characteristics were similar within the intensive and conventional groups on entry. In the
intensive group, the C-peptide responders (n=138) versus non-responders (n=274) tended
to be in the primary prevention cohort and have shorter duration of diabetes, lower
HbA1c, lower insulin dose, and less severe complications.
The table also presents the numbers of principal outcome events. Tests of
treatment group differences are presented in subsequent tables.
Intensive Therapy, 1-5 years Duration
Among those in the intensive treatment group with 1-5 years diabetes duration on
entry (from both the primary and secondary cohorts), model-free LOESS estimates of the
trend of the association of the stimulated log(C-peptide) concentration with HbA1c,
insulin dose and hypoglycemia (Figure 1A, B and D) all showed an approximately linear
association for log(C-peptide) > -2.5 or a C-peptide concentration > 0.082 nmol/L. Below
this value the relationships were flat. Model diagnostics indicated that the log
transformed values still provided better fit than did the untransformed values. There was
a strongly linear association between the log of the risk of retinopathy progression and
the log(C-peptide), affirming the assumption of the proportional hazards model over the
Page 7 of 47 Diabetes
8
range of C-peptide. Thus, the log(C-peptide) was used in all quantitative analyses. The
risk of retinopathy did not show a flattening but continued to decrease below a stimulated
C-peptide of 0.082 nmol/L (Figure 1C).
HbA1c. The relationship of C-peptide, either qualitatively (responders versus
non-responders) or quantitatively, with HbA1c did not vary significantly over time (C-
peptide by time interaction p=0.34 and p=0.13, respectively). Thus, the associations are
described over the 7 years of follow-up from longitudinal regression models.
The mean HbA1c during 7 years of follow-up among C-peptide responders (Table
2, Figure 2A) was 6.9% (52 mmol/mol) versus 7.5% (58 mmol/mol) among non-
responders, an average HbA1c% reduction of 0.6% (6.6 mmol/mol, p < 0.0001). In
addition, HbA1c% also decreased by 0.07% (0.8 mmol/mol) per 50% higher C-peptide (p
= 0.0003) across the range of C-peptide values, such as comparing two subjects with C-
peptide values of 0.1 versus 0.15 or 0.2 versus 0.3: each with a 50% increase. These
observations were obtained from a longitudinal mixed model that was minimally adjusted
only for the year of the follow-up HbA1c assessment. The results were equivalent after
also adjusting for both primary/secondary cohort and duration of diabetes.
Even though the entry HbA1c among responders was lower than that among non-
responders (8.3% versus 9.4%, 67 versus 79 mmol/mol, Table 1), in a further longitudinal
regression model, the average HbA1c over the entire follow-up period remained
significantly lower among responders than non-responders when adjusted for cohort and
diabetes duration, and also when adjusted for the HbA1c on entry (7.1% vs. 7.4%, 51
vs.57 mmol/mol, p = 0.0007), similar to the unadjusted analysis (Table 2). The
association of the entry C-peptide (quantitatively) with the mean HbA1c during follow-
Page 8 of 47Diabetes
9
up was also statistically significant in the unadjusted analysis and when adjusted for
cohort and duration, with HbA1c decreasing by 0.07 HbA1c% (0.8 mmol/mol) per 50%
higher C-peptide (p = 0.0003). However, the effect on HbA1c was diminished and no
longer significant after also adjusting for the baseline HbA1c (p = 0.09) (Table 2). Thus,
some of the association of entry C-peptide with the mean HbA1c during follow-up is
explained by the effect of the C-peptide on the entry HbA1c.
Insulin Dose. At DCCT entry, the intensive treatment group had a mean insulin
dose of 0.50 Units per kg body weight per day (U/kg/d) among responders versus 0.70
U/kg/d among non-responders (p < 0.0001) (4). Thus, the lower HbA1c among C-peptide
responders versus non-responders in the intensive treatment group was achieved with
significantly less exogenous insulin. The minimally-adjusted mean insulin dose during
follow-up among C-peptide responders versus non-responders (Table 2) was 0.63 versus
0.78 U/kg/d, an average reduction of 0.15 U/kg/d (p < 0.0001). Insulin dose also
decreased by 0.0276 U/kg/d per 50% higher C-peptide (p < 0.0001). Results were similar
after also adjusting for cohort and duration, and also after adjusting for the entry HbA1c,
again indicating that the association of entry C-peptide with insulin dose was not
explained by the association between entry C-peptide and HbA1c. Further, when adjusted
for the entry insulin dose, the difference between responders and non-responders
remained significantly different (p = 0.04), whereas the relationship with quantitative C-
peptide was no longer significant (Table 2). Neither the qualitative nor quantitative C-
peptide association with insulin dose was significant when adjusted for both insulin dose
and HbA1c on entry, indicating that some of this C-peptide effect was mediated by its
association with these other values on entry.
Page 9 of 47 Diabetes
10
Further, the association of C-peptide, both qualitatively and quantitatively, with
insulin dose varied significantly over time (i.e. a C-peptide by time interaction). Insulin
dose among responders rose over time, secondary to the further decline in C-peptide
during follow-up as previously shown (4) (Figure 3A). The decrease in insulin dose per
50% increase in C-peptide also declined over time (Figure 3B).
Meal and basal mean insulin doses were lower among C-peptide responders than
non responders (0.37 vs 0.45 and 0.34 vs 0.43 U/kg/d respectively, both p <0.0001), and
the slope of the association with the quantitative C-peptide concentrations was similar
(decrease in insulin dose of 0.0148 and 0.0156 U/kg/d per 50% higher C-peptide, both p
<0.0001), each in minimally adjusted models.
Retinopathy. Table 3 presents the association between the quantitative entry
concentration of C-peptide in the intensive treatment group with the risk of retinopathy
progression during follow-up. The Table also shows the results of the previously
published analyses (1) comparing responders versus non-responders. The mean C-peptide
among responders (0.317 nmol/L) was approximately 4 fold greater than that among non-
responders (0.079 nmol/L). This translated into significant reductions in the risks of
retinopathy by 58% and sustained retinopathy by 79% with no adjustments for other
factors. The risk reductions were diminished slightly after adjustment for the presence or
absence of retinopathy on entry and the entry level of HbA1c, and the difference in
progression (but not sustained progression) remained statistically significant.
When examined as a quantitative effect, the patterns were similar. For a 50%
higher C-peptide on entry (e.g. 0.45 versus 0.30 nmol/L) the risk of retinopathy was
Page 10 of 47Diabetes
11
significantly reduced by 12% and that of sustained retinopathy by 25%. Adjustment for
retinopathy status and HbA1c on entry had negligible effect on these results.
The appendix describes how to compute the estimated risk reduction associated
with other percentage differences in stimulated C-peptide on entry.
Nephropathy. Only 49 cases of nephropathy (microalbuminuria or worse) were
observed. Even though the risk was reduced by 43% among responders versus non-
responders, the difference was not significant. The risk reductions for nephropathy using
quantitative C-peptide are smaller than those for retinopathy (and non-significant), and
were reduced further after adjustment for factors on entry.
Neuropathy. Only 20 cases of neuropathy were observed at 5 years of follow-up.
Entry C-peptide responders had a non-significant 65% lower odds of confirmed clinical
neuropathy that remained unchanged after adjustment for factors on entry.
Hypoglycemia. Responders had a 45% lower risk of an episode of severe
hypoglycemia than did non-responders, and this risk reduction was increased after
adjusting for other factors. Per 50% increase in C-peptide the risk of hypoglycemia was
decreased by 8.2%, and remained unchanged after adjustment. All associations were
highly significant.
Associations with Fasting C-peptide.
The Appendix presents like analyses using the fasting C-peptide values which
show smaller non-significant differences in HbA1c between the fasting responders and
non-responders and a weaker association with the quantitative fasting value (Table A.2).
A similar analysis showed a slightly smaller difference in insulin dose among fasting C-
peptide responders versus non-responders (0.11 U/kg/d) than in the stimulated
Page 11 of 47 Diabetes
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comparison above, though still significant (p < 0.0001); and the association with the
quantitative fasting values was nearly identical as that for the stimulated values, each
minimally adjusted. Fasting C-peptide showed smaller non-significant associations with
retinopathy than did stimulated C-peptide, and smaller but significant associations with
sustained retinopathy (Table A.3). Interestingly, fasting C-peptide responders versus non-
responders had a greater reduction in nephropathy risk (146%, p = 0.016) than did
stimulated responders versus non-responders (43%, Table 2).
The associations of fasting C-peptide with neuropathy were similar to those of
stimulated C-peptide and non-significant. While fasting responders had significantly
lowered risk of hypoglycemia than did responders, there was no significant association of
quantitative fasting C-peptide with hypoglycemia risk.
Conventional Therapy, 1-5 years Duration
Like analyses were also conducted among those with 1-5 years duration in the
conventional treatment group using the stimulated C-peptide on entry (see Appendix).
Without any adjustment, the mean HbA1c during follow-up differed little among
responders versus non-responders (9.2% versus 9.3%, p = 0.569), and there was no
association of the quantitative C-peptide concentration with HbA1c (Table A.4). Further,
the association of quantitative and qualitative C-peptide with HbA1c differed
significantly over time (interaction p=0.0006 and p=0.027, respectively). As shown in
Figure 2B, the mean HbA1c among non-responders remained fairly level over time
whereas that among responders increased, as responders on entry lost their stimulated
response.
Page 12 of 47Diabetes
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Accordingly, there were no significant differences between stimulated responders
versus non-responders in other outcomes, as shown in Table 1 (Table A.5). Further,
when adjusted for other factors, there were significant associations of the C-peptide
concentration with both HbA1c and insulin dose, but with a positive, not inverse
association. This is in part a reflection of the above interaction (also present with insulin
dose) and the overall weak unadjusted associations.
5 – 15 Years Duration
Among those with 5 to 15 years duration, only those with stimulated C-peptide on
eligibility screening < 0.2 nmol/L (i.e. non-responders) were eligible for enrollment into
the DCCT. Among the 299 such subjects in the intensive group, only 66 subjects had a
measurable stimulated value above the lower limit of quantification (0.03 nmol/L) with a
maximum of 0.2 nmol/L and 25th
, 50th
, and 75th
percentiles of 0.05, 0.07, and 0.11
nmol/L. We compared these 66 subjects to the 233 with non-measurable values (see
Appendix). There were no differences in the HbA1c or insulin dose over time and no
significant differences in risks of retinopathy, sustained retinopathy, nephropathy or
neuropathy. However, there was a significant 22% reduction in the risk of severe
hypoglycemia among those with versus without measurable C-peptide values (p <
0.0001) that was unaltered after adjusting for the other factors.
Quantitative Outcomes
Further analyses were conducted to assess the association of C-peptide with each
of the raw outcome measures: the ordinal ETDRS score of retinopathy severity, the
albumin excretion rate (AER) and the O’Brien mean nerve conduction rank score. The
detailed statistical methods and results are presented in the online appendix.
Page 13 of 47 Diabetes
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Briefly, the patterns of associations with 3-step progression of retinopathy also
applied to an analysis of associations with the ETDRS scores after 4 years of follow-up.
However, the associations with AER were stronger than those with nephropathy.
Responders had a significantly lower mean AER than did responders by 22% (CI: 12,
34%, p = 0.0001). This difference was diminished but remained significant, even after
adjusting for both the baseline AER and HbA1c (14%, CI: 4, 24, p = 0.003).
Quantitatively as the C-peptide concentration increased, the AER was significantly lower
in unadjusted analyses with a 3% reduction in AER per 50% greater C-peptide (CI: 1, 5;
p = 0.002); and this effect persisted after adjustment for the baseline AER (1.8%, p =
0.03). However, the association was no longer significant when also adjusted for baseline
HbA1c (1.4%, p = 0.11).
The nerve conduction summary measure at 5 years was significantly better among
responders than non-responders in an unadjusted analysis, but not when adjusted for
baseline or HbA1c. There was no association with the quantitative C-peptide
concentration.
Discussion
Preservation of β-cell function as measured by C-peptide in patients with type 1
diabetes is known to result in improved metabolic control and reduced microvascular
complications (1). Prior analyses of DCCT data showed that 0.2 nmol/L could be
considered a meaningful cut point, above which patients demonstrate a strong clinical
benefit. In this report, we expand on this relationship by examining the association of the
quantitative C-peptide concentration with outcomes. Across the range of values, higher
amounts of secreted C-peptide were associated with lower HbA1c, lower daily insulin
Page 14 of 47Diabetes
15
dose, less severe hypoglycemia, and less risk of retinopathy. Most importantly, even
small incremental increases in C-peptide, particularly those measured below the
previously established cut point of 0.2 nmol/L, are shown to be clinically beneficial.
These results further describe the benefits of specific concentrationsof C-peptide beyond
those previously presented from the DCCT using the crude categories of <0.2 nmol/L
versus (> 0.2 -5) nmol/L (4), or the categories < 0.04, 0.04 to 0.2 and (> 0.2 -5) nmol/L
(5).
Analyses using model free local smoothing techniques showed that there was no
threshold or breakpoint in the relationship of outcomes with C-peptide. Linearity was
improved using the natural log transformation. There was a strong linear association with
risk of retinopathy over the range of log C-peptide values whereas for HbA1c, insulin
dose and hypoglycemia the relationship was flat for values less than approximately 0.08
nmol/L (Fig 1).
Over 7 years of follow-up there was a strong inverse association between higher
entry C-peptide and lower HbA1c that did not wane with time; i.e. the effect of a given
difference in entry C-peptide on the HbA1c values was similar at every year of follow-
up. This association persisted after adjusting for the entry HbA1c that was also inversely
correlated with the entry C-peptide. Thus, the effects of the entry C-peptide on HbA1c
over time were not explained by the association with the entry HbA1c.
The relationship with insulin dose was more varied. As with HbA1c there was a
strong inverse relationship between c-peptide concentrations and insulin dose. While the
difference among responders versus non-responders remained significant after adjusting
for the entry insulin dose, the association with the quantitative C-peptide concentration
Page 15 of 47 Diabetes
16
was no longer significant. Further, the effect of C-peptide on total insulin dose waned
with time. Similar associations were observed for both basal and for meal-related insulin
doses.
The C-peptide concentrations also had an inverse relationship with the risk of
retinopathy progression that persisted after adjustment for the entry HbA1c and
retinopathy status. However, the associations of C-peptide concentrations with the risks
of microalbuminuria and of clinical neuropathy were less than that with retinopathy. As
stated previously (1), this is probably due to the small number of such cases (49 total
subjects for nephropathy and 20 with neuropathy). Further, the association with
nephropathy was reduced after adjustment for the levels of AER and HbA1c on entry,
indicating that some of the relationship of C-peptide with nephropathy was mediated by
the lower values of AER and HbA1c on entry, each of which is a function of these higher
concentrations of C-peptide.
As might be expected, the fasting concentrations of C-peptide had weaker
associations with all outcomes than did the stimulated values. However, the relatively
strong correlations between these measures suggest that, in the absence of beta-cell
stimulation conditions, fasting samples may yield some information on islet function.
Within the conventional group, subjects quickly lost their entry C-peptide
response during follow-up (4), and consequently the entry C-peptide did not have a
strong association with any outcome. However, loss of response was delayed in the
intensive group (4), providing a longer period to benefit from preservation of beta cell
function. Thus, the benefits of C-peptide preservation at baseline were largely observed
in the intensive treatment group.
Page 16 of 47Diabetes
17
Subjects with 5-15 years duration were required to have an eligibility C-peptide
<0.2 nmol/L, and there was generally no association between having a measurable value
(0.03 – 0.19 nmol/L) versus not (< 0.03 nmol/L) and outcomes, except for the risk of
hypoglycemia. Those with some measurable value had a significantly lower risk of
severe hypoglycemia, even after adjusting for other factors.
Another study (11) using a more recent C-peptide assay showed that in 20 T1D
patients with diabetes duration between 1-16 years, those with undetectable C-peptide
(<0.1 nmol/L) versus those with detectable C-peptide had less glycemic variability, were
more prone to hypoglycemia, and had impaired counter-regulation in response to
hypoglycemia. These results echo our findings that patients above 0.2 nmol/L are
protected in terms of hypoglycemia and that 0.2 nmol/L is not a good definition for
clinically significant residual insulin secretion.
One weakness of these DCCT data is that C-peptide was principally measured
during eligibility screening. An ancillary study also measured C-peptide annually among
those who entered the trial and retained C-peptide response (stimulated value > 0.2
nmol/L), but with no further testing if results fell below this threshold (4). Thus, it is not
possible to examine the longitudinal association of C-peptide concentrations over time
with outcomes over time. Nevertheless, the large cohort with precise assessments of
glycemia, insulin requirements, severe hypoglycemia, and microvascular outcomes
conclusively shows that each of these outcomes is associated with the amount of
endogenous insulin secretion, as measured by a simple stimulated C-peptide value. These
results have implications for future research into the factors associated with preservation
Page 17 of 47 Diabetes
18
of beta cell function and the design of studies to evaluate the effectiveness of therapies
aimed at such preservation.
Acknowledgments
A complete list of participants in the DCCT/EDIC Research Group can be found in
the New England Journal of Medicine, 2011;365:2366-2376.
The DCCT/EDIC has been supported by U01 Cooperative Agreement grants (1982-
93, 2011-2016), and contracts (1982-2011) with the Division of Diabetes Endocrinology
and Metabolic Diseases of the National Institute of Diabetes and Digestive and Kidney
Disease, and through support by the National Eye Institute, the National Institute of
Neurologic Disorders and Stroke, the Genetic Clinical Research Centers Program (1993-
2007), and Clinical Translational Science Center Program (2006-present), Bethesda,
Maryland, USA. Industry contributors have had no role in the DCCT/EDIC study but
have provided free or discounted supplies or equipment to support participants’
adherence to the study: Abbott Diabetes Care (Alameda, CA), Animas (Westchester,
PA), Bayer Diabetes Care (North America Headquarters, Tarrytown NY) Becton
Dickinson (Franklin Lakes, NJ), CanAm (Atlanta, GA) , Eli Lilly (Indianapolis, IN),
Lifescan (Milpitas, CA) , Medtronic Diabetes (Minneapolis, MI) , Omron (Shelton CT),
OmniPod® Insulin Management System (Bedford, MA) , Roche Diabetes Care
(Indianapolis, IN) , and Sanofi-Aventis (Bridgewater NJ).
None of the authors declared any dualities of interest with regards to the current
study.
Page 18 of 47Diabetes
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All authors participated in the design and conduct of the study. John Lachin and Paula
McGee wrote the manuscript with critical review and editing by Jerry Palmer. John
Lachin serves as the guarantor of this manuscript.
References:
1. Palmer JP, Fleming GA, Greenbaum CJ, Herold KC, Jansa LD, Kolb H, Lachin
JM, Polonsky KS, Pozzilli P, Skyler JS, Steffes MW. C-peptide is the appropriate
outcome measure for type 1 diabetes clinical trials to preserve beta-cell function:
report of an ADA workshop, 21-22 October 2001. Diabetes, 2004;53:250-64.
Erratum: Diabetes, 2004;53:1934.
2. Palmer JP. C-peptide in the natural history of type 1 diabetes.
Diabetes/metabolism research and reviews, 2009;25:325-328.
3. The Diabetes Control and Complications Trial (DCCT) Research Group: Effects
of age, duration and treatment of insulin-dependent diabetes mellitus on residual
beta-cell function: observations during eligibility testing for the Diabetes Control
and Complications Trial (DCCT). J Clin Endocrinol Metab 1987;65:30–36.
4. The DCCT Research Group: Effect of intensive therapy on residual β-cell
function in patients with type 1 diabetes in the Diabetes Control and
Complications Trial. Ann Intern Med 1998; 128:517–523.
5. Steffes MW, Sibley S, Jackson M, Thomas W: β-Cell function and the
development of diabetes-related complications in the Diabetes Control and
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6. The DCCT Research Group. The effect of intensive treatment of diabetes on the
development and progression of long-term complications in insulin-dependent
diabetes mellitus. The New England Journal of Medicine 1993;329:977-986.
7. The DCCT Research Group: Effect of intensive diabetes treatment on nerve
conduction in the Diabetes Control and Complications Trial. Ann Neurol
1995;38:869–880.
8. Cleveland WS and Grosse E. Computational Methods for Local Regression.
Statistics and Computing 1991;1:47–62.
9. Demidenko E. Mixed Models: Theory and Applications. Hoboken, New Jersey:
John Wiley & Sons, 2004.
10. Lachin JM. Biostatistical Methods: The Assessment of Relative Risks. Second
Edition. John Wiley and Sons, 2011.
Page 19 of 47 Diabetes
20
11. Fukuda M, Tanaka A, Tahara Y, Ikegami H, Yamamoto Y, Kumahara Y, Shima
K. Correlation between minimal secretory capacity of pancreatic β-cells and
stability of diabetic control. Diabetes 1988;37:81-88.
Page 20 of 47Diabetes
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Table 1. Characteristics on entry into the DCCT and outcome characteristics among
those with < 60 months duration of diabetes (N=855) classified as C-peptide
responders with Stimulated C-peptide ≥ 0.2 nmol/L on study entry versus non-
responders (Stimulated C-peptide < 0.2 nmol/L).
INTENSIVE CONVENTIONAL
Characteristics on entry
Responders
N=138
Non-
Responders
N=274
Responders
N=165
Non-
Responders
N=278
Age (years) (mean ± SD) 28 ± 7* 26 ± 7 28 ± 7* 26 ± 8
Duration (months) (mean ± SD) 26 ± 12* 34 ± 14 26 ± 14* 34 ± 15
Female (N, %) 70 (51%) 132 (48%) 62 (38%) 129 (46%)
Primary cohort (N, %) 121 (88%) 221 (81%) 141 (85%) 230 (83%)
AER mg/24 hr (geometric mean
x/÷ GSD) †
8.6 x/÷ 1.8 10.2 x/÷ 1.9 10.1 x/÷ 1.9 9.8 x/÷ 2.2
HbA1c (%) (mean ± SD) 8.3 ± 1.6* 9.4 ± 1.7 8.4 ± 1.7* 9.3 ± 1.7
HbA1c (mmol/mol) (mean ±
SD)
67 ± 17.5 79 ± 18.6 68 ± 18.6 78 ± 18.6
Total insulin dose (U/kg/day) 0.50 ± 0.19* 0.70 ± 0.24 0.53 ± 0.19* 0.70 ± 0.25
Stimulated C-peptide (nmol/L)
(mean ± SD)
0.317 ±
0.083
0.079 ± 0.054 0.309 ±
0.080
0.077 ±
0.051
Fasting C-peptide (nmol/L)
(mean ± SD)
0.130 ±
0.065
0.044 ± 0.025 0.132 ±
0.060
0.045 ±
0.029
Outcome characteristics in DCCT §
Nephropathy (AER > 40 mg/24
hr)
11 (8%) 38 (14%) 30 (18%) 53 (19%)
3-step retinopathy progression
(first observed)
15 (11%) 66 (24%) 57 (35%) 119 (43%)
3-step retinopathy progression
(sustained)
2 (1%) 19 (7%) 32 (19%) 64 (23%)
5-year confirmed neuropathy 3 (3%) 17 (8%) 17 (15%) 38 (18%)
Severe hypoglycemia
Total number of events
Rate/100 patient years
294
66.5
1100
35.0
105
20.7
294
10.6
* p-value for Reponders vs Non-Responders < 0.05, using Fisher’s exact and Wilcoxon.
By definition the responders and non-responders differed in the stimulated and fasting
C-peptide levels.
† From an analysis of the natural log(AER) and the results presented as a geometric mean
(exp(mean log(x)) and geometric standard deviation (exp(stddev(log(x))).
§ Crude percentages for these outcomes are presented that do not take account of the
follow-up time. Tests of significance are presented in subsequent tables using time-to-
event analyses.
Page 21 of 47 Diabetes
22
Table 2. Adjusted mean difference over 7 years of DCCT follow-up between intensively
treated stimulated C-peptide responders versus non-responders with up to 5 years
duration (< 60 months), and the change per 50% increase in C-peptide obtained using
log(C-peptide) in a linear model* for HbA1c (as % and mmol/mol) and total insulin dose
U/kg/day.
Non-
Responders
Responders C-peptide quantitatively
LS Mean
(95% CI)
LS mean
(95% CI)
p < Change per 50% increase
in C-peptide
(95% CI)
p <
HbA1c %, mmol/mol
Unadjusted*, % and
mmol/mol
7.5 (7.34, 7.58)
58 (57, 59)
6.9 (6.76, 7.08)
52 (50, 54)
0.0001 -0.068 (-0.105, -0.032)
-0.75 (-0.35, -1.15)
0.0003
Adjusted for cohort &
duration, % and
mmol/mol
7.5 (7.35, 7.63)
58 (57, 60)
6.9 (6.74, 7.1)
52 (50, 54)
0.0001 -0.072 (-0.110, -0.033)
-0.78 (-0.36, -1.21)
0.0003
Also HbA1c on entry†,
% and mmol/mol
7.4 (7.24, 7.50)
57 (56, 58)
7.1 (6.90, 7.23)
54 (52, 56)
0.0007 -0.030 (-0.065, 0.004)
-0.33 (-0.71, 0.05)
0.0874
Total insulin dose U/kg/day
Unadjusted* 0.78 (0.75,
0.81)
0.63 (0.59,
0.67)
0.0001 -0.028 (-0.037, -0.019) 0.0001
Adjusted for entry
HbA1c†
0.77 (0.73,
0.80)
0.66 (0.61,
0.70)
0.0001 -0.020 (-0.029, -0.010) 0.0001
Adjusted for entry
insulin§
0.75 (0.72,
0.78)
0.71 (0.67,
0.74)
0.0391 -0.003 (-0.012, 0.005) 0.4442
Adjusted for both‡ 0.74 (0.71,
0.76)
0.72 (0.69,
0.76)
0.5441 0.002 (-0.007, 0.010) 0.7051
*Model including responder versus not and year alone, all year 1-7 values as repeated
measures.
†Model including primary versus secondary cohort, duration of diabetes, and HbA1c on
entry.
§ Model including primary versus secondary cohort, duration of diabetes, and insulin
dose on entry.
‡ Model including primary versus secondary cohort, duration of diabetes, insulin dose
and HbA1c on entry.
Page 22 of 47Diabetes
23
Table 3. Risk Reduction (RRd, %) of progression of microvascular complications in the
DCCT intensive treatment group per 50% higher C-peptide value, and also comparing C-
peptide responders (> 0.2 -5 nmol/L) versus non-responders (< 0.2 nmol/L), with no
adjustments, and also with adjustment for the complication status and HbA1c on entry.
Unadjusted
Adjusted for Entry
Status* and HbA1c
RRd, %
(95% CI)
RRd %
(95% CI)
Retinopathy Progression
> 3 Step
Responders vs non-resp §
p =
58% (26, 76)
0.0025
50% (12, 72)
0.0171
Per 50% higher C-peptide
p =
11.6% (4.1, 18.6)
0.0032
10.8% (2.8, 18.2)
0.0095
Sustained > 3 Step
Responders vs non-resp §
p =
79% (9, 95)
0.0360
71% (-26, 93)
0.0947
Per 50% higher C-peptide
p =
24.6% (10.7, 36.3)
0.0010
23.8% (8.8, 36.3)
0.0030
Nephropathy Progression
Responders vs non-resp §
p =
43%‡ (-10, 71)
0.1052
27% (-46, 64)
0.3724
Per 50% higher C-peptide
p =
9.4% (-1.2, 18.8)
0.0806
5.5% (-6.0, 15.7)
0.3347
Neuropathy† at 5 years
Responders vs non-resp
p =
65% (-22, 90)
0.0996
65% (-27, 90)
0.1101
Per 50% higher C-peptide
p =
12.3% (-5.1, 26.9)
0.1555
12.0% (-6.0, 26.9)
0.1789
Severe Hypoglycemia
Responders vs non-resp
p =
45% (38, 52)
<0.0001
51% (44, 57)
<0.0001
Per 50% higher C-peptide
p =
8.2% (6.4, 9.9)
<0.0001
8.9% (7.2, 10.6)
<0.0001
* Entry status is presence or absence of retinopathy on entry for analysis of retinopathy
and the log (AER) for nephropathy.
Page 23 of 47 Diabetes
24
† Confirmed clinical neuropathy.
§ The comparison of responders and non-responders was previously published in Palmer
et al. (1).
‡ The HR = 64 in Palmer et al. (Reference 1) is a typographical error.
Page 24 of 47Diabetes
25
Figure Legends
Figure 1. Model-free (LOESS) estimates of the association of the log of the stimulated C-
peptide on study entry with A) the HbA1c value at year 1 of follow-up; B) the total
insulin dose at year 1; C) incidence of retinopathy progression; and D) incidence of
hypoglycemia. For C and D the log of the rate per 100 patient years of the event is plotted
within percentiles of the C-peptide distribution.
A. HbA1c (%)
B. Total Insulin Dose (U/kg)
C. Retinopathy progression
D. Severe Hypoglycemia
Figure 2. Mean HbA1c over follow-up with 95% confidence limits separately for
stimulated C-peptide responders versus non-responders in the intensive (A) and
conventional (B) treatment groups.
A. Intensive Group
B. Conventional Group
Figure 3. Association of stimulated C-peptide at study entry, qualitatively and
quantitatively, with the total insulin dose (U/kg/d) at each successive year of follow-up,
from longitudinal regression models. A): mean insulin dose among responder vs non-
responder; B): change in insulin dose U/kg/d per 50% lower stimulated C-peptide, each
with 95% confidence limits
A. Mean Insulin Dose
B. Change in Insulin Dose
Page 25 of 47 Diabetes
Model-free (LOESS) estimates of the association of the log of the stimulated C-peptide on study entry with A) the HbA1c value at year 1 of follow-up; B) the total insulin dose at year 1; C) incidence of retinopathy
progression; and D) incidence of hypoglycemia. For C and D the log of the rate per 100 patient years of the
event is plotted within percentiles of the C-peptide distribution.
A. HbA1c (%)
101x101mm (300 x 300 DPI)
Page 26 of 47Diabetes
B. Total Insulin Dose (U/kg)
101x101mm (300 x 300 DPI)
Page 27 of 47 Diabetes
C. Retinopathy progression
101x101mm (300 x 300 DPI)
Page 28 of 47Diabetes
D. Severe Hypoglycemia
101x101mm (300 x 300 DPI)
Page 29 of 47 Diabetes
Mean HbA1c over follow-up with 95% confidence limits separately for stimulated C-peptide responders versus non-responders in the intensive (A) and conventional (B) treatment groups.
A. Intensive Group
101x101mm (300 x 300 DPI)
Page 30 of 47Diabetes
B. Conventional Group
101x101mm (300 x 300 DPI)
Page 31 of 47 Diabetes
Association of stimulated C-peptide at study entry, qualitatively and quantitatively, with the total insulin dose (U/kg/d) at each successive year of follow-up, from longitudinal regression models. A): mean insulin dose among responder vs non-responder; B): change in insulin dose U/kg/d per 50% lower stimulated C-
peptide, each with 95% confidence limits
A. Mean Insulin Dose
101x101mm (300 x 300 DPI)
Page 32 of 47Diabetes
B. Change in Insulin Dose
101x101mm (300 x 300 DPI)
Page 33 of 47 Diabetes
1
Supplementary Material Appendix
Impact of C-Peptide Preservation on HbA1c, Insulin Dose Requirements and
Microvascular Complications in the DCCT
John M. Lachin ScD, Paula McGee MS, Jerry P. Palmer MD for the DCCT/EDIC Research
Group
This Appendix provides the detailed description of: A: the association of the quantitative
relationship of the quantitative C-peptide with risk of outcomes, B: the association of fasting C-
peptide with the risk of outcomes, C: associations within the conventional treatment group, D:
associations among those with 5-15 years duration; and E: associations with quantitative or
ordinal raw outcome measures.
A: Association of Quantitative C-peptide with Risk of Outcomes
For the primary DCCT outcome, sustained ≥ 3-step progression, a 10% higher C-peptide
was associated with a 6.37% lower risk. To facilitate calculations using other differences in C-
peptide, Appendix Table A1 presents the model coefficient and its 95% confidence limits. For
example, the change in risk with a 25% higher C-peptide at entry, such as 3.75 versus 3.0
pmol/ml, would be computed as 100*(1.25-0.69554
– 1) = -14.4 or a 14.4% risk reduction. A 50%
higher C-peptide would be associated with a change in risk of 100*(1.5-0.69088
– 1) = -24.6 or a
24.6% risk reduction.
Likewise, in order to achieve a given risk reduction, such as a 30% reduction, the
required C-peptide increase would be computed as [1 - 0.3](1/β)
= 1.670 or a 67% difference in C-
peptide.
B: Fasting C-peptide
Tables A.2 and A.3 present analyses in the intensive treatment group of the qualitative
and quantitative associations of the entry fasting C-peptide with outcomes. The results are
described in the text of the main paper.
C: Conventional Treatment Group
Tables A.4 and A.5 present like analyses among those with 1-5 years duration within the
conventional treatment group. The results are described in the text of the main paper.
D: 5 – 15 Years Duration
Page 34 of 47Diabetes
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Tables A.6 and A.7 present analyses among those with 5-15 years duration on entry in
the intensive treatment group. Those with any detectable levels are compared to those with non-
detectable levels. The results are described in the text of the main paper.
E: Quantitative and Ordinal Outcome Measures.
Further analyses examined the association between C-peptide at baseline and the detailed
measurements of each outcome: the severity of retinopathy using the ordinal ETDRS scale over
7 years of follow-up, the magnitude of albuminuria using the AER (mg/24 h) and the O’Brien
rank score of the severity of neuropathy on a nerve conduction examination at 5 years of follow-
up. The methods used for each analysis and the results follow.
Table A.8 describes the average overall characteristics during DCCT follow-up of the
855 subjects with 1-5 years duration. The geometric mean AER mg/24 h over the 7 years of
follow-up was somewhat less among responders versus non-responders within the intensive
group with little difference in the conventional group. For descriptive purposes the ETDRS
scores at year 4 of follow-up are presented (thereafter the N observed declines). In the intensive
group the majority of the responders (61%) remain free of retinopathy compared to 42% among
non-responders who also had higher fractions at higher levels of retinopathy severity. Within the
intensive group the O’Brien composite nerve conduction score was higher (less severe) among
responders in the intensive group than non-responders whereas values within the conventional
group were worse among both responders and non-responders, with no difference. Additional
analyses were conducted within the intensive treatment group alone.
Retinopathy. The severity of retinopathy was assessed using the Early Treatment
Diabetes Retinopathy Study (ETDRS) final scale of retinopathy severity (1). Explicit
descriptions of the steps along the scale are provided in prior DCCT analyses (2). The Wei-
Lachin multivariate rank test (3) with the estimate of the Mann-Whitney difference (4) was used
to test the difference between responders and non-responders in the distribution of the EDTRS
scores using the scores from the annual follow-up assessments through DCCT year 7. The Mann-
Whitney parameter is the probability that a non-responder has a higher (worse) score than a
responder minus the probability that a responder has a worse score than a non-responder. The
difference in probabilities is used owing to the discrete nature of the scores. The parameter is
zero when the distributions are the same in the two groups and is > 0 when the scores among
non-responders are higher (worse) than responders.
Page 35 of 47 Diabetes
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The analysis was conducted with no adjustment. Then a stratified analysis (5) was
conducted that adjusted for membership at baseline in the primary (no retinopathy) versus
secondary (mild retinopathy) cohort. Then a further analysis was stratified by cohort and the
quartiles of the baseline HbA1c within each cohort to provide a joint adjustment for the baseline
retinopathy level and HbA1c. The following are the unadjusted and adjusted results.
The Mann-Whitney Difference in the probability of a worse ETDRS retinopathy
score over 7 years of follow-up for non-responders versus responders.
Mann-Whitney Difference
95% Confidence Limits
p =
Unadjusted 0.131 0.052, 0.211 0.0013
Adjusted for Primary vs
Secondary cohort 0.112 0.042, 0.182 0.0018
Adjusted for cohort and
baseline HbA1c. 0.114 0.003, 0.226 0.0446
Unadjusted, the probability that a non-responder would have worse retinopathy is 0.131 greater
than the probability that a responder would have worse retinopathy, that is highly significant.
The result is virtually identical after adjustment for baseline cohort and remains significant after
adjusting for baseline cohort and HbA1c.
To examine the association of the quantitative C-peptide value with the ETDRS score, we
fit a quantile (median) regression model (6) to the ETDRS scores at year 4 as shown in Table
A.8 as a function of the log C-peptide and the results were expressed as the number of steps
change in the median on the ETDRS scale per 50% increase in C-peptide. The results are shown
in the following table.
Steps change in the median on the ETDRS scale at 4 years of follow-up per 50%
increase in C-peptide Steps
Lower
95% Confidence
Limits
p =
Unadjusted -0.15 -0.23, -0.07 0.0001
Adjusted for Primary vs
Secondary cohort -0.16 -0.23, -0.08 0.0001
Adjusted for cohort and
baseline HbA1c. -0.029 -0.07, 0.010 0.15
Page 36 of 47Diabetes
4
The median number of steps on the ETDRS scale is reduced by about 0.15 steps per 50% higher
level of C-peptide that is highly significant both unadjusted and then adjusted for baseline
cohort. However, there is no meaningful change in the median number of steps as the C-peptide
increases when also adjusting for HbA1c.
Nephropathy. The difference in the log AER between responders and non-responders,
and the percentage change per 50% increase in C-peptide were assessed in a longitudinal mixed
model adjusted for the follow-up year using values up to 7 years of follow-up. The following
table presents the mean percentage change in AER for responders versus non-responders over
the 7 years of follow-up
Mean percentage difference in AER over 7 years of follow-up for Responders versus
non-responders Percent
Difference
95% Confidence
Limits
p =
Unadjusted -22.2% -11.6, -33.8 0.0001
Adjusted Baseline AER -16.5% -7.3, -26.5 0.0003
Adjusted Baseline AER
and baseline HbA1c. -13.8% -4.5, -23.9 0.0030
Unadjusted, the AER among responders was 22% less than that of non-responders over the 7
years of follow-up. Adjustment for the baseline AER and also for HbA1c diminished this
difference somewhat but it remained significantly different.
A like analysis was conducted using the log C-peptide values and the results are
presented as the percentage change in AER per 50% increase in C-peptide in the following table
Percentage change in AER over 7 years of follow-up per 50% increase in C-peptide
Percent change 95% Confidence
Limits
p =
Unadjusted -2.9% -4.6, -1.2 0.0011
Adjusted Baseline AER -1.8% -3.4, -0.2 0.0260
Adjusted Baseline AER
and baseline HbA1c. -1.4% -2.95, 0.27 0.1015
Page 37 of 47 Diabetes
5
Unadjusted, the AER decreased by about 3% per 50% higher C-peptide over the 7 years of
follow-up. Adjustment for the baseline AER diminished this effect somewhat but it remained
significantly different. Adjustment for HbA1c diminished the effect further that was not
significant.
Neuropathy. Nerve conduction assessments were conducted in the complete cohort at 5
years of follow-up and included measurement of 10 components: median motor amplitude,
median motor conduction velocity, median motor F-wave latency, median sensory amplitude,
median sensory conduction velocity, peroneal amplitude, peroneal conduction velocity, peroneal
F-wave latency, sural amplitude, and sural conduction velocity. For each component, the
fractional rank was computed for each participant such that higher values represented worse
nerve conduction. For the two latencies, the descending fractional ranks were used so that higher
values were worse. The mean fractional rank (O’Brien score) was then used in a Mann-Whitney
analysis (8). These scores take values between 0 and 1. An adjusted Mann-Whitney analysis was
obtained from an analysis of the residuals after fitting a quantile (median) regression model of
the 5 year O’Brien scores regressed on either the baseline O’Brien score, or the baseline score
and HbA1c. The results are interpreted as above for the analysis of the retinopathy ETDRS
scores.
The following are the unadjusted and adjusted results.
The Mann-Whitney Difference in the probability of a worse O’Brien nerve
conduction score at 5 years of follow-up for non-responders versus responders.
Mann-Whitney Difference
95% Confidence Limits
p =
Unadjusted 0.158 0.027, 0.288 0.018
Adjusted for baseline
O’Brien score 0.080 0.054, 0.213 0.25
Adjusted for baseline
O’Brien score and
baseline HbA1c.
0.066 0.068, 0.200 0.34
Unadjusted, the probability that a non-responder would have worse neuropathy is 0.158 greater
than the probability that a responder would have worse neuropathy. After adjusting for the
baseline neuropathy score alone, or the baseline score and HbA1c, the difference between
responders versus non-responders is diminished.
Page 38 of 47Diabetes
6
Quantile (median) regression models were then used to assess the change in the median
O’Brien score at 5 years as a function of the log C-peptide unadjusted and then adjusted. The
change in the median rank per 50% increase in C-peptide is presented in the following table
Change in the median O’Brien score at 5 years of follow-up per 50% increase in C-
peptide
Change 95% Confidence
Limits
p =
Unadjusted 0.003 -0.007, 0.012 0.58
Adjusted Baseline
O’Brien score 0.002 -0.003, 0.007 0.38
Adjusted Baseline
O’Brien score and
baseline HbA1c.
0.001 -0.003, 0.006 0.55
There is no association between the quantitative C-peptide value and the O’Brien score.
References:
1. Early Treatment Diabetic Retinopathy Study Research Group. Fundus photographic risk
factors for progression of diabetic retinopathy: ETDRS report number 12.
Ophthalmology 1991; 98:Suppl:823-33.
2. The Diabetes Control and Complications Trial Research Group. The effect of diabetes
therapy on the progression of diabetic retinopathy in insulin-dependent diabetes mellitus:
the Diabetes Control and Complications Trial. Arch Ophthalmol 1995;113:36-51.
3. Wei LJ and Lachin JM. Two-sample asymptotically distribution-free tests for incomplete
multivariate observations. J. Amer. Statist. Assoc., 79, 653-661, 1984.
4. Thall PF and Lachin JM. Assessment of stratum-covariate interactions in Cox's
proportional hazards regression model. Statistics in Medicine 1986; 5:73-83.
5. Lachin, JM. Some large sample size distribution-free estimators and tests for multivariate
partially incomplete observations from two populations. Statistics in Medicine
1992;11:1151-1170.
6. Koenker, R. and Bassett, G. W. Regression Quantiles, Econometrica 1978;46: 33–50.
7. Demidenko E. Mixed Models: Theory and Applications. Hoboken, New Jersey: John
Wiley & Sons, 2004.
8. O'Brien PC. Procedures for comparing samples with multiple endpoints. Biometrics.
1984;40: 1079-1089.
Page 39 of 47 Diabetes
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Table A.1. Coefficient (β) for the effect of the log of the C-peptide level (pmol/ml) on risk of
progression of microvascular complications in the DCCT intensive treatment in a Proportional
Hazards model with no adjustments, adjustment for the entry complication status, and with
adjustment for the entry HbA1c.
Unadjusted
Adjusted for Entry
Status * and HbA1c
β (95% CI) β (95% CI)
Retinopathy
> 3 Step Progression
-0.30456
(-0.50728, -0.10185)
-0.28257
(-0.49621, -0.06893)
Sustained > 3 Step
Progression
-0.69544
(-1.11057, -0.28031)
-0.66947
(-1.11153, -0.22741)
Nephropathy
AER > 40 mg/24 h
-0.24201
(-0.51351, 0.029491)
-0.13921
(-0.42205, 0.14363)
* Entry status is presence or absence of retinopathy on entry for analysis of retinopathy,
and the log (AER) on entry for nephropathy.
Page 40 of 47Diabetes
8
Table A.2. Adjusted mean difference over 7 years of DCCT follow-up between intensively
treated fasting C-peptide responders (≥ 0.075pmol/mL) versus non-responders with up to 5 years
duration (< 60 months), and the change per 50% increase in C-peptide obtained using log(C-
peptide) in a linear model*. A. HbA1c %; B. Total insulin dose U/kg/day.
A. HbA1c %.
Fasting Non-
Responders
Fasting
Responders
Fasting C-peptide
quantitatively
LS Mean
(95% CI)
LS mean
(95% CI)
p < Change in HbA1c
insulin per 50%
increase in C-
peptide
(95% CI)
p <
Unadjusted* 7.3 (7.21, 7.46) 7.2 (7.0, 7.31) 0.0576 -0.0299 (-0.0419,
-0.0178)
0.0001
(adj for cohort +
duration only)
7.4 (7.23, 7.53) 7.2 (7.02, 7.34) 0.0707 -0.0648 (-0.1157,
-0.0139)
0.0130
Adjusted† 7.3 (7.14, 7.40) 7.3 (7.12, 7.43) 0.9602 0.0032 (-0.0179,
0.0136)
0.5513
B. Total insulin dose U/kg/day.
Fasting Non-
Responders
Fasting
Responders
Fasting C-peptide
quantitatively
LS Mean
(95% CI)
LS mean
(95% CI)
p < Change in insulin
per 50% increase
in C-peptide
(95% CI)
p <
Unadjusted* 0.7655 (0.7370,
0.7940)
0.6626 (0.6244,
0.7008)
0.0001 -0.0299 (-0.0419 -
0.0178)
0.0001
Adjusted‡ 0.7224 (0.6942,
0.7506)
0.7476 (0.7131,
0.7820)
0.2180 0.00317 (-.00725
0.013586)
0.5513
*Model including responder versus non-responders and year alone, all year 1-7 values as
repeated measures.
†Model including primary versus secondary cohort and duration of diabetes, and HbA1c on
entry.
‡ Model including primary versus secondary cohort and duration of diabetes, insulin dose and
HbA1c on entry.
Page 41 of 47 Diabetes
9
Table A.3. Risk Reduction (RRd %) of progression of microvascular complications in the DCCT
intensive treatment group per 50% higher fasting C-peptide value, and also comparing fasting C-
peptide responders (> 0.075 pmol/L) on entry versus non-responders (< 0.075 pmol/L), with no
adjustments, and also with adjustment for the entry complication status and HbA1c.
Unadjusted
Adjusted for Entry
Status* and HbA1c
RRd %
(95% CI)
RRd %
(95% CI)
Retinopathy Progression
> 3 Step
Responders vs non-resp
p =
58% (-3, 59)
0.0685
43% (-13, 135)
0.1596
Per 50% higher C-peptide
p =
8.8% (-1.9, 18.5)
0.1045
8.7% (-2.2, 18.5)
0.1141
Sustained > 3 Step
Responders vs non-resp
p =
247% (2, 1081)
0.0464
190% (-15, 892)
0.0905
Per 50% higher C-peptide
p =
28.6% (9.5, 43.6)
0.0052
27.0% (7.6, 42.3)
0.0090
Nephropathy Progression
Responders vs non-resp
p =
146% (19, 411)
0.0156
217% (-1, 333)
0.0538
Per 50% higher C-peptide
p =
12% (-2, 24)
0.0958
8.6% (-6.3, 21.5)
0.2419
Neuropathy† at 5 years
Responders vs non-resp
p =
60% (-24, 87)
0.1135
59% (-29, 87)
0.1267
Per 50% higher C-peptide
p =
16% (-7.5, 35)
0.1644
16% (-8.5, 35)
0.1839
Severe Hypoglycemia
Responders vs non-resp
p =
45% (38, 52)
<0.0001
47% (40, 53)
<0.0001
Per 50% higher C-peptide
p =
9.8% (7.5, 12.1)
<0.0001
10.8% (8.5, 13.0)
<0.0001
* Entry status is presence or absence of retinopathy on entry for analysis of retinopathy,
and the log (AER) on entry for nephropathy.
Page 42 of 47Diabetes
10
Table A.4. Adjusted mean difference over 7 years of DCCT follow-up between conventionally
treated stimulated C-peptide responders (≥ 0.2pmol/mL) versus non-responders with up to 5
years duration (< 60 months), and the change per 50% increase in C-peptide obtained using
log(C-peptide) in a linear model*. A. HbA1c %; B. Total insulin dose U/kg/day.
A. HbA1c %.
Stimulated Non-
Responders
Stimulated
Responders
Stimulated C-peptide
quantitatively
LS Mean
(95% CI)
LS mean
(95% CI)
p < Change in HbA1c
insulin per 50%
increase in C-
peptide
(95% CI)
p <
Unadjusted* 9.3 (9.15, 9.47) 9.2 (9.03, 9.45) 0.5683 -0.0046 (-
0.05578, 0.04657)
0.8600
(adj for cohort +
duration only)
9.3 (9.14, 9.54) 9.3 (9.01, 9.49) 0.5247 -0.0069 (-0.0608,
0.0470)
0.8022
Adjusted† 9.2 (9.08, 9.41) 9.4 (9.23, 9.63) 0.0901 0.0645 (0.0209,
0.10806)
0.0039
B. Total insulin dose U/kg/day.
Stimulated Non-
Responders
Stimulated
Responders
Stimulated C-
peptide
quantitatively
LS Mean
(95% CI)
LS mean
(95% CI)
p < Change in insulin
per 50% increase
in C-peptide
(95% CI)
p <
Unadjusted* 0.6871
(0.6634, 0.7108)
0.6161
(0.5854, 0.6468)
0.0003 -0.044199 (-
0.017921,
0.00535)
0.2905
Adjusted‡ 0.6548
(0.6347, 0.6749)
0.6856
(0.6611, 0.7101)
0.0243 0.03068
(0.001307,
0.012441)
0.0159
*Model including responder versus not and year alone, all year 1-7 values as repeated measures.
†Model including primary versus secondary cohort and duration of diabetes, and HbA1c on
entry.
‡ Model including primary versus secondary cohort and duration of diabetes, insulin dose and
HbA1c on entry.
Page 43 of 47 Diabetes
11
Table A.5. Risk Reduction (RRd %) of progression of microvascular complications in the DCCT
conventional treatment group with duration < 5 years per 50% higher stimulated C-peptide value
on entry, and also comparing stimulated C-peptide responders (> 0.2 pmol/L) versus non-
responders (< 0.2 pmol/L), with no adjustments, and also with adjustment for the entry
complication status and HbA1c.
Unadjusted
Adjusted for Entry
Status* and HbA1c
RRd %
(95% CI)
RRd %
(95% CI)
Retinopathy Progression
> 3 Step
Responders vs non-resp
p =
13% (-27, 37)
0.4110
-13% (-58, 20)
0.4919
Per 50% higher C-peptide
p =
2.9% (-3.1, 8.6)
0.3359
-1.6% (-8.5, 4.8)
0.6314
Sustained > 3 Step
Responders vs non-resp
p =
6% (-46, 39)
0.7946
-25% (-96, 20)
0.3218
Per 50% higher C-peptide
p =
3.3% (-4.9, 10.7)
0.4215
-2.5% (-12.0, 6.2)
0.5812
Nephropathy Progression
Responders vs non-resp
p =
9% (-48, 44)
0.7143
-2% (-68, 37)
0.9262
Per 50% higher C-peptide
p =
7.8% (-1.1, 15.8)
0.0840
4.8% (-4.6, 13.4)
0.3079
Neuropathy† at 5 years
Responders vs non-resp
p =
23% (-43, 59)
0.4093
13% (-65, 54)
0.6746
Per 50% higher C-peptide
p =
1.4% (-10.9, 12.4)
0.8094
1.4% (-14.8, 10.4)
0.8250
Severe Hypoglycemia
Responders vs non-resp
p =
38% (22, 50)
<0.0001
44% (30, 56)
<0.0001
Per 50% higher C-peptide
p =
5.5% (2.1, 8.9)
0.0017
7.8% (4.4, 11.1)
<0.0001
* Entry status is presence or absence of retinopathy on entry for analysis of retinopathy,
and the log (AER) on entry for nephropathy.
Page 44 of 47Diabetes
12
Table A.6. Adjusted mean difference over 7 years of DCCT follow-up between intensively
treated patients with a detectable stimulated C-peptide (> 0.03pmol/mL) versus those
undetectable with 5-15 years duration (≥ 60 months). A. HbA1c %; B. Total insulin dose
U/kg/day.
A. HbA1c %.
Stimulated
undetectable
Stimulated
Detectable
LS Mean
(95% CI)
LS mean
(95% CI)
p <
Unadjusted* 7.3 (7.15, 7.39) 7.2 (6.96, 7.39) 0.4414
(adj for cohort +
duration only)
7.5 (7.12, 7.81) 7.2 (6.84, 7.64) 0.0675
Adjusted† 7.4 (7.04, 7.68) 7.2 (6.87, 7.60) 0.2618
B. Total insulin dose U/kg/day.
Stimulated
undetectable
Stimulated
Detectable
LS Mean
(95% CI)
LS mean
(95% CI)
p <
Unadjusted* 0.7187
(0.6909, 0.7465)
0.7363
(0.6842, 0.7883)
0.5573
Adjusted‡ 0.7631
(0.6797, 0.8233)
0.8021
(0.7272, 8771)
0.0923
*Model including responder versus not and year alone, all year 1-7 values as repeated measures.
†Model including primary versus secondary cohort and duration of diabetes, and HbA1c on
entry.
‡ Model including primary versus secondary cohort and duration of diabetes, insulin dose and
HbA1c on entry.
Page 45 of 47 Diabetes
13
Table A.7. Risk Reduction (RRd %) of progression of microvascular complications in the DCCT
intensive treatment group comparing those with a detectable stimulated C-peptide (>
0.03pmol/mL) on entry versus those undetectable with 5-15 years duration (≥ 60 months), with
no adjustments, and with adjustment for the entry complication status and HbA1c.
Unadjusted
Adjusted for Entry Status*
and HbA1c
RRd (95% CI) RRd (95% CI)
Retinopathy Progression
> 3 Step
Detectable vs undetectable
p =
1.79 (1.01, 3.17)
0.0474
1.61 (0.90, 2.86)
0.1071
Sustained > 3 Step
Detectable vs undetectable
p =
1.17 (0.56, 2.43)
0.6794
0.978 (0.47, 2.056)
0.9539
Nephropathy Progression
Detectable vs undetectable
p =
0.96 (0.53, 1.75)
0.9036
0.78 (0.42, 1.43)
0.4178
Neuropathy† at 5 years
Detectable vs undetectable
p =
0.91 (0.35, 2.39)
0.8529
0.92 (0.35, 2.42)
0.8638
Severe Hypoglycemia
Detectable vs undetectable
p =
22 (12, 32)
0.002
23 (12 33)
<0.0001
* Entry status is presence or absence of retinopathy on entry for analysis of retinopathy,
and the log (AER) on entry for nephropathy.
Page 46 of 47Diabetes
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Table A.8. Outcome characteristics among those with < 60 months duration of diabetes
(N=855) classified as C-peptide responders with Stimulated C-peptide ≥ 0.2 pmol/mL on
study entry versus non-responders (Stimulated C-peptide < 0.2 pmol/mL).
INTENSIVE CONVENTIONAL
Responders
N=138
Non-
Responders
N=274
Responders
N=165
Non-
Responders
N=278
Ordinal or quantiative outcome characteristics§
AER (geometric mean x/÷ GSD)* 8.13 x/÷ 2.20 9.94 x/÷ 1.78 11.1 x/÷ 2.84 11.5 x/÷2.30
Year 4 Retinopathy levels
1 = 10, no retinopathy 73 (61%) 107 (42%) 58 (40%) 91 (35%)
2 = 20/10, very mild NPDR 27 (23%) 79 (31%) 35 (24%) 64 (25%)
3 = 20/20 18 (15%) 52 (20%) 28 (19%) 62 (24%)
4 = 35/<35, mild NPDR 1 (0.8%) 12 (5%) 16 (11%) 28 (11%)
5 = 35/35 0 3 (1%) 2 (1%) 9 (3%)
6 = 43/<43, Moderate NPDR(1) 0 2 (0.8%) 4 (3%) 3 (1%)
7 = 43/43, Moderate NPDR(1) 0 0 0 3 (1%)
8 = 47/<47, Moderate NPDR(2) 0 1 (0.4%) 0 0
9 = 47/47, Moderate NPDR(2) 1 (0.8%) 0 1 (0.7%) 0
Neuropathy O’Brien score at year 5
median (25,75 percentiles)
0.62
(0.50, 0.71)
0.56
(0.47, 0.66)
0.45
(0.35, 0.59)
0.47
(0.36, 0.58)
* From a longitudinal regression model of the natural log(AER) with a class effect for the 7
years of follow-up comparing responders versus non-responders, with separate models within
each treatment group. Results presented as a geometric mean (exp(mean log(x)) and geometric
standard deviation (exp(stddev(log(x)))
† Steps on the final ETDRS scale of retinopathy severity where X/<X designates that the worse
eye is at level X and the other eye at a lesser level, X/X designates that both eyes are at level X.
NPDR equals non-proliferative diabetic retinopathy. Values were missing for 36 intensive and
39 conventional patients that are excluded from denominator
§ The O’Brien mean fraction rank among the 10 nerve conduction components, a value 0.5 refers
to the median O’Brien score in the cohort. Lower O’Brien scores reflect increasing severity of
nerve conduction defects..
Page 47 of 47 Diabetes