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OBJECTIVE We evaluated the predictive value and clinical benefit of urinary kidney injury molecule (KIM)-1 for progression of diabetic nephropathy (DN) in type 1 diabetes. We also investigated its causal role for the decrease of estimated glomerular filtration rate (eGFR) by a Mendelian randomization (MR) approach. RESEARCH DESIGN AND METHODS We followed 1,573 patients with type 1 diabetes for 6 years. KIM-1 was measured at baseline and normalized with urinary creatinine. KIM-1 predictive value was evaluated by Cox regression, while its added predictive benefit was evaluated using a panel of statistical indexes. The causality for the loss of renal function was evaluated with MR, utilizing the top signal from our genome-wide association study (GWAS) as the instrumental variable. RESULTS KIM-1 was not an independent predictor of progression of DN when adjusted for albumin excretion rate (AER) and added no prognostic benefit to AER or eGFR. In multiple regressions, KIM-1 was associated with lower eGFR independently of diabetes duration (β = −4.066; P < 0.0001) but not of AER. In our GWAS, rs2036402 in the KIM1 gene was strongly associated with KIM-1 (β = −0.51; P = 6.5 × 10−38). In the MR, KIM-1 was associated with lower eGFR, independently of diabetes duration and AER (β = −5.044; P = 0.040), suggesting a causal relationship. CONCLUSIONS KIM-1 did not predict progression to end-stage renal disease independently of AER and added no prognostic benefit to current biomarkers. Nevertheless, the MR showed that the inverse association of increased KIM-1 levels with lower eGFR is likely to represent a causal link.

Background and Purpose— Despite the fact that patients with type 1 diabetes mellitus have a markedly increased risk of experiencing a stroke, independent risk factors for stroke and its subtypes in these patients have remained unclear. Methods— A total of 4083 patients with type 1 diabetes mellitus from the Finnish Diabetic Nephropathy (FinnDiane) Study, without a history of stroke at baseline, were included. Strokes were classified based on medical files and brain imaging. At baseline, mean age was 37.4±11.8 years, duration of diabetes mellitus was 20.0 (11.0–30.0) years, and 51% were men. During 9.0±2.7 years (36 680 patient-years) of follow-up, 105 patients experienced an ischemic stroke and 44 a hemorrhagic stroke. Cox proportional hazards analyses were performed to determine independent risk factors. Results— Independent risk factors for ischemic stroke were duration of diabetes mellitus, presence of diabetic nephropathy, higher hemoglobin A 1c , higher systolic blood pressure, insulin resistance, and history of smoking, whereas sex, lipids, high-sensitivity C-reactive protein, and the metabolic syndrome were not associated with an increased risk. Diabetic nephropathy, severe diabetic retinopathy, higher systolic blood pressure, and lower body mass index were independently associated with hemorrhagic stroke. Conclusions— The risk factor profile for ischemic stroke seems partly different from that of hemorrhagic stroke in patients with type 1 diabetes mellitus.

AIMS/HYPOTHESIS: An abnormal urinary albumin excretion rate (AER) is often the first clinically detectable manifestation of diabetic nephropathy. Our aim was to estimate the heritability and to detect genetic variation associated with elevated AER in patients with type 1 diabetes.METHODS: The discovery phase genome-wide association study (GWAS) included 1,925 patients with type 1 diabetes and with data on 24 h AER. AER was analysed as a continuous trait and the analysis was stratified by the use of antihypertensive medication. Signals with a p value RESULTS: The narrow-sense heritability, captured with our genotyping platform, was estimated to explain 27.3% of the total AER variability, and 37.6% after adjustment for covariates. In the discovery stage, five single nucleotide polymorphisms in the GLRA3 gene were strongly associated with albuminuria (p CONCLUSIONS/INTERPRETATION: This study suggests novel pathways and molecular mechanisms for the pathogenesis of albuminuria in type 1 diabetes.

Background Circulating cholesterol (C) and triglyceride (TG) levels are associated with vascular injury in type 1 diabetes (T1DM). Lipoproteins are responsible for transporting lipids, and alterations in their subclass distributions may partly explain the increased mortality in individuals with T1DM. Design and subjects A cohort of 3544 individuals with T1DM was recruited by the nationwide multicentre FinnDiane Study Group. At baseline, six very low-density lipoprotein VLDL, one intermediate-density lipoprotein IDL, three low-density lipoprotein LDL and four higher high-density lipoprotein HDL subclasses were quantified by proton nuclear magnetic resonance spectroscopy. At follow-up, the baseline data were analysed for incident micro- or macroalbuminuria (117 cases in 5.3 years), progression from microalbuminuria (63 cases in 6.1 years), progression from macroalbuminuria (109 cases in 5.9 years) and mortality (385 deaths in 9.4 years). Univariate associations were tested by age-matched cases and controls and multivariate lipoprotein profiles were analysed using the self-organizing map (SOM). Results TG and C levels in large VLDL were associated with incident albuminuria, TG and C in medium VLDL were associated with progression from microalbuminuria, and TG and C in all VLDL subclasses were associated with mortality. Large HDL-C was inversely associated with mortality. Three extreme phenotypes emerged from SOM analysis: (i) low C (

OBJECTIVE Pulse pressure (PP), an estimate of arterial stiffness, has been shown to be associated with incident cardiovascular disease (CVD) in patients with type 1 diabetes (T1D). However, diabetic kidney disease, a strong predictor of CVD, was not previously taken into account. Furthermore, the role of PP as a predictor of diabetic nephropathy is not known. Therefore, we prospectively investigated the associations between PP and these diabetes complications in patients with T1D. RESEARCH DESIGN AND METHODS A total of 4,509 patients from the FinnDiane Study participated. Follow-up data on incident CVD events and renal status (median 5.3 years) were available in 69 and 76% of the patients, respectively. Altogether, 269 patients (8.6%) had an incident CVD event and 370 patients (10.8%) progressed to a higher level of albuminuria or to end-stage renal disease. RESULTS PP was higher at baseline in patients who experienced a CVD event (66 ± 18 vs. 52 ± 14 mmHg; P < 0.001) or progressed in their renal status (58 ± 18 vs. 54 ± 15 mmHg; P < 0.01) during follow-up. In a Cox regression model, PP was independently associated with a first ever CVD event (hazard ratio per 10 mmHg 1.22 [95% CI 1.10–1.34]) but not progression of renal disease (1.00 [0.89–1.12]) after adjustments for traditional risk factors. CONCLUSIONS PP, a marker of arterial stiffness, is a risk factor for cardiovascular complications but not for diabetic nephropathy in patients with T1D.

The incidence of diabetes is increasing in epidemic proportions. Diabetes is also the leading cause of end-stage renal disease (ESRD) and, consequently, the incidence of ESRD is increasing worldwide. Patients with Type 1 diabetes and incipient renal disease (microalbuminuria) have a threefold increase, patients with overt renal disease (macroalbuminuria) a ninefold increase, and patients with ESRD an 18-fold increase in all-cause mortality, but patients without renal disease show no excess mortality beyond that of the general population [1]. The most common cause of death among patients with diabetic renal disease is cardiovascular disease (CVD). However, cardiovascular mortality has decreased in the general population, but in patients with diabetes the decrease is less profound [2]. In a study published 20 years ago, the risk for cardiovascular mortality for patients with Type 1 diabetes and proteinuria was 37-fold higher than for the general population [3]. At present, the risk is lower, but the search for early predictors of renal disease continues. Albumin excretion rate (AER) is still the best noninvasive predictor, and needs regular measurement, but could lipid variables serve to predict renal d isease alongside AER?

We studied the impact of baseline lipid variables on the progression of renal disease in a large nationwide prospective cohort of patients with type 1 diabetes.A total of 2,304 adult patients with type 1 diabetes and available lipid profiles participating in the Finnish Diabetic Nephropathy Study (FinnDiane) were evaluated. Data on progression of renal disease were verified from medical files and patients were followed for 5.4 +/- 2.0 (mean +/- SD) years.High triacylglycerol, apolipoprotein (Apo) B, ApoA-II and HDL(3)-cholesterol concentrations predicted incident microalbuminuria. Progression to macroalbuminuria was predicted by high triacylglycerol and ApoB. When AER was entered into the model, triacylglycerol was no longer an independent predictor, but when patients with normal AER and microalbuminuria at baseline were pooled, triacylglycerol, HbA(1c), male sex and AER were all independent predictors of renal disease. High total cholesterol, LDL-cholesterol, non-HDL-cholesterol and triacylglycerol as well as low HDL-cholesterol, HDL(2)-cholesterol, ApoA-I and ApoA-II concentrations were predictive of progression to end-stage renal disease. However, when estimated GFR was entered into the model, only total cholesterol remained an independent predictor of progression.Lipid abnormalities, particularly high triacylglycerol concentrations, increase the risk of progression of renal disease.

The aim of this study was to assess how physical activity predicts the development and progression of diabetic nephropathy in patients with type 1 diabetes.This prospective study (follow-up time 6.4 ± 3.1 years) included 1,390 patients (48.5% men, mean age 37.0 ± 12.4 years, duration of diabetes 20.4 ± 12.3 years) participating in the nationwide multicentre Finnish Diabetic Nephropathy (FinnDiane) Study. Leisure-time physical activity (LTPA) was assessed using a validated self-report questionnaire. Renal status was defined according to standard clinical cut-off values for urinary AER.The total amount of LTPA was not associated with progression in renal status. For the intensity of LTPA, however, the 10 year cumulative progression rate was 24.0% (95% CI 18.8, 28.8), 13.5% (95% CI 10.3, 16.6) or 13.1% (95% CI 10.3%, 16.6%; p = 0.01) of the patients with low, moderate or high intensity LTPA. This pattern was similar to that for the development of de novo microalbuminuria. Corresponding progression rates for LTPA frequency of1, 1-2 or2 sessions/week was 24.7% (95% CI 18.3, 30.7), 14.7% (95% CI 10.2, 19.0) or 12.6% (95% CI 9.4, 15.7), respectively (p = 0.003).This study demonstrates for the first time in a prospective setting the relationship between physical activity and the risk of diabetic nephropathy in patients with type 1 diabetes. The data suggest that physical activity, and in particular its intensity, may have an impact on the initiation and progression of diabetic nephropathy in type 1 diabetes.

OBJECTIVE We investigated the predictive value of urinary adiponectin (uADP) for the progression of diabetic nephropathy (DN) as well as for the principal determinants of uADP concentrations. RESEARCH DESIGN AND METHODS uADP was measured in 2,090 patients with type 1 diabetes followed for a median of 5.8 (4.4–6.9) years and in 111 subjects without diabetes. Progression was defined as a change in albuminuria (albumin excretion rate [AER]) to a higher stage or development of end-stage renal disease (ESRD). Various Cox regression and competing risk models were used to evaluate the predictive value of uADP for DN progression. The added predictive benefit to AER or estimated glomerular filtration rate (eGFR) was estimated by the area under the receiver operating characteristic curve, integrated discrimination improvement (IDI), continuous net reclassification improvement (NRI), and other statistical indexes. The determinants of uADP were investigated by multiple regression analyses. RESULTS uADP was an independent predictor of progression to ESRD (hazard ratio 1.60, P < 0.001) and was an even better predictor than AER (P = 0.04) or as good as eGFR (P = 0.79). Furthermore, uADP added a significant benefit when used together with AER (NRI 0.794, P = 0.03; IDI 0.115, P < 0.0001) or eGFR (NRI 0.637, P < 0.001; IDI 0.087, P < 0.0001). The common determinants of uADP were glycemic control, tubular injury, and AER. CONCLUSIONS uADP is a strong independent predictor of DN progression from macroalbuminuria to ESRD and adds a significant predictive benefit to current biomarkers in patients with type 1 diabetes.

OBJECTIVE Osteopontin (OPN) is a multifunctional protein suggested to be a player in the arterial disease of patients with type 2 diabetes. However, its role for complications in patients with type 1 diabetes (T1D) is unknown. We therefore investigated the associations between OPN and diabetic vascular complications and all-cause mortality in patients with T1D. RESEARCH DESIGN AND METHODS Serum OPN was measured in 2,145 adults with T1D without end-stage renal disease (ESRD; dialysis or transplantation) as part of the Finnish Diabetic Nephropathy (FinnDiane) Study. Data on renal status, cardiovascular disease (CVD), and all-cause mortality during follow-up were verified from medical files, hospital discharge registries, and the Finnish National Death Registry, respectively. The median follow-up time was 10.5 (interquartile range 8.9–11.8) years. RESULTS Serum OPN was higher at baseline in patients who developed incident microalbuminuria (16.0 ± 0.9 vs. 14.1 ± 0.2 µg/L; P = 0.04), progressed to ESRD (28.3 ± 1.7 vs. 15.4 ± 0.2 µg/L; P < 0.001), suffered an incident CVD event (20.2 ± 1.2 vs. 15.5 ± 0.2 µg/L; P < 0.001), or died (23.3 ± 1.4 vs. 15.8 ± 0.2 µg/L; P < 0.001) during follow-up. In multivariate Cox regression analysis, OPN was independently associated with the development of incident microalbuminuria, an incident CVD event, and death, after adjustments for associated risk factors. Even after calculating reclassification indexes, OPN was predictive of CVD and all-cause mortality beyond the Framingham risk score covariates and hs-CRP. CONCLUSIONS Serum OPN is a strong predictor of incipient diabetic nephropathy, a first-ever CVD event, and all-cause mortality in patients with T1D. Serum OPN may be of clinical significance for the risk prediction of CVD events in patients with T1D.

OBJECTIVE To study the ability of lipid variables to predict incident coronary artery disease (CAD) events in patients with type 1 diabetes at different stages of nephropathy. RESEARCH DESIGN AND METHODS Patients (n = 3,520) with type 1 diabetes and available lipid profiles participating in the Finnish Diabetic Nephropathy Study (FinnDiane) were included in the study. During a follow-up period of 10.2 years (8.6–12.0), 310 patients suffered an incident CAD event. RESULTS Apolipoprotein B (ApoB)/ApoA-I ratio was the strongest predictor of CAD in normoalbuminuric patients (hazard ratio 1.43 [95% CI 1.17–1.76] per one SD increase), and ApoB was the strongest in macroalbuminuric patients (1.47 [1.19–1.81]). Similar results were seen when patients were stratified by sex or glycemic control. LDL cholesterol was a poor predictor of CAD in women, normoalbuminuric patients, and patients with HbA1c below the median (8.3%, 67 mmol/L). The current recommended triglyceride cutoff of 1.7 mmol/L failed to predict CAD in normoalbuminuric patients, whereas the cohort median 0.94 mmol/L predicted incident CAD events. CONCLUSIONS In patients with type 1 diabetes, the predictive ability of the lipid variables differed substantially depending on the patient’s sex, renal status, and glycemic control. In normoalbuminuric patients, the ratios of atherogenic and antiatherogenic lipoproteins and lipids were the strongest predictors of an incident CAD event, whereas in macroalbuminuric patients, no added benefit was gained from the ratios. Current treatment recommendations may need to be revised to capture residual CAD risk in patients with type 1 diabetes.

OBJECTIVE Recent studies have suggested that circulating levels of the tumor necrosis factor-α receptor 1 (sTNFαR1) may be a useful predictor for the risk of end-stage renal disease (ESRD) in patients with diabetes. However, its potential utility as a biomarker has not been formally quantified. RESEARCH DESIGN AND METHODS Circulating levels of sTNFαR1 were assessed in 429 patients with type 1 diabetes and overt nephropathy from the Finnish Diabetic Nephropathy (FinnDiane) cohort study. Predictors of incident ESRD over a median of 9.4 years of follow-up were determined by Cox regression and Fine-Gray competing risk analyses. The added value of sTNFαR1 was estimated via time-dependent receiver operating characteristic curves, net reclassification index (NRI), and integrated discrimination improvement (IDI) for survival data. RESULTS A total of 130 individuals developed ESRD (28%; ESRD incidence rate of 3.4% per year). In cause-specific modeling, after adjusting for baseline renal status, predictors of increased incidence of ESRD in patients with overt nephropathy were an elevated HbA1c, shorter duration of diabetes, and circulating levels of sTNFαR1. Notably, sTNFαR1 outperformed estimated glomerular filtration rate in terms of R2. Circulating levels of the sTNFαR1 also remained associated with ESRD after adjusting for the competing risk of death. A prediction model including sTNFαR1 (as a −0.5 fractional polynomial) was superior to a model without it, as demonstrated by better global fit, an increment of R2, the C index, and area under the curve. Estimates of IDI and NRI(>0) were 0.22 (95% CI 0.16–0.28; P < 0.0001) and 0.98 (0.78–1.23; P < 0.0001), respectively. The median increment in the risk score after including sTNFαR1 in the prediction model was 0.18 (0.12–0.30; P < 0.0001). CONCLUSIONS Circulating levels of sTNFαR1 are independently associated with the cumulative incidence of ESRD. This association is both significant and biologically plausible and appears to provide added value as a biomarker, based on the absolute values of NRI and IDI.

Diabetic nephropathy has a significant impact on the quality of life and longevity for patients with type 1 or type 2 diabetes. Declining kidney function leads to secondary metabolic effects and adverse changes in lipoprotein metabolism, but, crucially, in patients with diabetes, the lipid abnormalities often emerge before the glomerular reserve is lost. The lipid profile is strongly correlated with albuminuria and predicts adverse outcomes, especially in the presence of other risk factors, such as poor glycemic control, obesity, and hypertension. In this chapter, we discuss the diagnostic and prognostic significance of lipoproteins and their subclasses in diabetic kidney disease and evaluate the evidence from clinical trials of lipid-lowering treatment and renal outcomes.

Objectives The aim of this study was to investigate the associations between lipid profiles and retinopathy in the large nationwide FinnDiane Study and to examine interactions and correlations between retinopathy, nephropathy and lipid variables. Design and subjects A total of 1465 patients with type 1 diabetes, available lipid profiles, ophthalmic records and fundus photographs were included in the study. The Early Treatment of Diabetic Retinopathy Study scale was used to assess the severity of retinopathy. In an independent cohort of 1100 patients, laser treatment was used to define severe diabetic retinopathy. Results HDL cholesterol was associated with proliferative retinopathy (PDR), and triglycerides were associated with mild nonproliferative retinopathy (NPDR) independently of nephropathy and other conventional risk factors (P

It is recommended that individuals with diabetes restrict their dietary sodium intake. However, although salt intake is correlated with BP (blood pressure), it also partly determines the activation state of the RAAS (renin–angiotensin–aldosterone system), a key mediator of diabetes-associated atherosclerosis. apoE KO (apolipoprotein E knockout) mice were allocated for the induction of diabetes with streptozotocin or citrate buffer (controls) and further randomized to isocaloric diets containing 0.05%, 0.3% or 3.1% sodium with or without the ACEi [ACE (angiotensin-converting enzyme) inhibitor] perindopril. After 6 weeks of study, plaque accumulation was quantified and markers of atherogenesis were assessed using RT–PCR (reverse transcription–PCR) and ELISA. The association of sodium intake and adverse cardiovascular and mortality outcomes were explored in 2648 adults with Type 1 diabetes without prior CVD (cardiovascular disease) from the FinnDiane study. A 0.05% sodium diet was associated with increased plaque accumulation in diabetic apoE KO mice, associated with activation of the RAAS. By contrast, a diet containing 3.1% sodium suppressed atherogenesis associated with suppression of the RAAS, with an efficacy comparable with ACE inhibition. In adults with Type 1 diabetes, low sodium intake was also associated with an increased risk of all-cause mortality and new-onset cardiovascular events. However, high sodium intake was also associated with adverse outcomes, leading to a J-shaped relationship overall. Although BP lowering is an important goal for the management of diabetes, off-target actions to activate the RAAS may contribute to an observed lack of protection from cardiovascular complications in patients with Type 1 diabetes with low sodium intake.

Hyperfiltration is widely regarded as a contributing factor to the development of microalbuminuria and progressive nephropathy in type 1 diabetes. However, recent studies have questioned this conclusion.To address this conflicting evidence, we examined the association between hyperfiltration and progression to microalbuminuria in 2,318 adults with type 1 diabetes. We also compared the estimated GFR in our diabetic patients with rates observed in 6,247 adults from the Finnish general population, using age- and sex-specific z scores.The distribution of estimated GFR in adults with type 1 diabetes and normoalbuminuria was not significantly different from that expected in the general population (p = 0.51, Mann-Whitney test). Type 1 diabetic patients with a higher estimated GFR were also no more likely to develop microalbuminuria over a median of 5.2 years of follow-up than those with normal estimated GFR. This was the case regardless of whether hyperfiltration was defined by an absolute threshold, deciles of estimated GFR or a z score, using creatinine- or cystatin-based clearance formulas in men or in women.Together with other studies, these data suggest that creatinine- or cystatin-based estimates of GFR do not predict the development of microalbuminuria in patients with type 1 diabetes. Moreover, in the absence of incipient or overt nephropathy, conventionally determined renal function in patients with type 1 diabetes appears no different from that in the general population. This is hardly surprising, given that these individuals, by all definitions, do not have kidney disease.

Patients with both type 1 diabetes and CKD have an increased risk of adverse outcomes. The competing risks of death and ESRD may confound the estimates of risk for each outcome. Here, we sought to determine the major predictors of the cumulative incidence of ESRD and pre-ESRD mortality in patients with type 1 diabetes and macroalbuminuria while incorporating the competing risk for the alternate outcome into a Fine-Gray competing-risks analysis. We followed 592 patients with macroalbuminuria for a median of 9.9 years. During this time, 56 (9.5%) patients died and 210 (35.5%) patients developed ESRD. Predictors of incident ESRD, taking baseline renal function and the competing risk for death into account, included an elevated HbA(1c), elevated LDL cholesterol, male sex, weight-adjusted insulin dose, and a shorter duration of diabetes. By contrast, predictors of pre-ESRD death, taking baseline renal function and the competing risk for ESRD into account, included only age, the presence of established macrovascular disease, and elevated cholesterol levels. This competing-risks approach has potential to highlight the appropriate targets and strategies for preventing premature mortality in patients with type 1 diabetes.

While patients with type 1 diabetes (T1D) are known to suffer from early cardiovascular disease (CVD), we examined associations between arterial stiffness and diabetic complications in a large patient group with T1D.This study included 807 subjects (622 T1D and 185 healthy volunteers (age 40.6 ± 0.7 versus 41.6 ± 1.2 years; P = NS)). Arterial stiffness was measured by pulse wave analysis from each participant. Furthermore, information on diabetic retinopathy, nephropathy, and CVD was collected. The renal status was verified from at least two out of three urine collections.Patients with T1D without signs of diabetic nephropathy had stiffer arteries measured as the augmentation index (AIx) than age-matched control subjects (17.3% ± 0.6% versus 10.0% ± 1.2%; P0.001). Moreover, AIx (OR 1.08; 95% CI 1.03-1.13; P = 0.002) was associated with diabetic laser-treated retinopathy in patients with normoalbuminuria in a multivariate logistic regression analysis. The same was true for AIx and diabetic nephropathy (1.04 (1.01-1.08); P = 0.004) as well as AIx and CVD (1.06 (1.00-1.12); P = 0.01) in patients with T1D.Arterial stiffness was associated with microvascular and macrovascular complications in patients with T1D.

OBJECTIVE—Poor glycemic control, elevated triglycerides, and albuminuria are associated with vascular complications in diabetes. However, few studies have investigated combined associations between metabolic markers, diabetic kidney disease, retinopathy, hypertension, obesity, and mortality. Here, the goal was to reveal previously undetected association patterns between clinical diagnoses and biochemistry in the FinnDiane dataset. RESEARCH DESIGN AND METHODS—At baseline, clinical records, serum, and 24-h urine samples of 2,173 men and 2,024 women with type 1 diabetes were collected. The data were analyzed by the self-organizing map, which is an unsupervised pattern recognition algorithm that produces a two-dimensional layout of the patients based on their multivariate biochemical profiles. At follow-up, the results were compared against all-cause mortality during 6.5 years (295 deaths). RESULTS—The highest mortality was associated with advanced kidney disease. Other risk factors included 1) a profile of insulin resistance, abdominal obesity, high cholesterol, triglycerides, and low HDL2 cholesterol, and 2) high adiponectin and high LDL cholesterol for older patients. The highest population-adjusted risk of death was 10.1-fold (95% CI 7.3–13.1) for men and 10.7-fold (7.9–13.7) for women. Nonsignificant risk was observed for a profile with good glycemic control and high HDL2 cholesterol and for a low cholesterol profile with a short diabetes duration. CONCLUSIONS—The self-organizing map analysis enabled detailed risk estimates, described the associations between known risk factors and complications, and uncovered statistical patterns difficult to detect by classical methods. The results also suggest that diabetes per se, without an adverse metabolic phenotype, does not contribute to increased mortality.

We studied the relationship between the lipid profile, estimated GFR (eGFR) and AER in patients with type 1 diabetes. We also assessed the association between the lipid profile and glycaemic control, obesity and hypertension in an environment free of manifest renal disease, as well as exploring how well the patients would have achieved the targets set in international guidelines.A total of 2,927 adult patients who had type 1 diabetes and for whom lipid profiles were available were included from people participating in the nationwide, multicentre Finnish Diabetic Nephropathy Study (FinnDiane). eGFR was determined using the Cockcroft-Gault formula adjusted for body surface area.Patients with impaired renal function (eGFR60 ml min(-1) 1.73 m(-2)) had higher total cholesterol, triacylglycerol and apolipoprotein B, and lower HDL-cholesterol concentrations than patients with normal renal function (eGFR90 ml min(-1) 1.73 m(-2)) or mildly impaired renal function (eGFR 60-90 ml min(-1) 1.73 m(-2)) (p0.001 for all associations). In type 1 diabetic patients without manifest renal disease, similar adverse lipid profiles could be observed in those who were overweight or obese and in those who had intermediate or poor glycaemic control or hypertension. In all the different patient groups 14 to 43% would have achieved the recommended target of2.6 mmol/l for LDL-cholesterol.Multiple lipid abnormalities are not only present in type 1 diabetic patients with an abnormal AER, but also in those with impaired renal function. In patients without manifest renal disease, obesity, glycaemic control or hypertension were associated with an adverse lipid profile. A substantial number of patients studied would have exceeded the targets set by international guidelines, particularly the targets for LDL-cholesterol.