Risk factors for development and progression of nonproliferative retinopathy in normoalbuminuric patients with type 1 diabetes

Systolic and Diastolic Blood Pressure Are Independent Risk Factors for Diabetic Retinopathy in Patients with Type 2 Diabetes

BACKGROUND AND AIMS

Diabetic retinopathy (DR) is a microvascular complication of diabetes and represents the leading cause of blindness in working-age adults. The aim of this study was to investigate the risk factors for DR in patients with type 2 diabetes (T2DM) with and without diabetic nephropathy (DN).

METHODS

A total of 160 patients with T2DM were included in the study. Photodocumented retinopathy status was determined according to the EURODIAB protocol. Renal function was determined using creatinine-based estimated glomerular filtration rate (eGFR) and albumin-to-creatinine ratio (ACR). Binary univariate and multiple logistic regression analyses were performed to determine the main predictors of DR.

RESULTS

The prevalence of DR in this studied sample was 46.3%. No significant correlation was observed between DR and age, body mass index, serum lipids, and renal function. Binary logistic regression analysis (no DR/DR) showed that longer diabetes duration (p = 0.008), poor glycemic control (HbA1c) (p = 0.008), higher systolic blood pressure (p = 0.001), and diastolic blood pressure (p = 0.003) were the main predictors of DR in patients with T2DM. However, the influence of systolic blood pressure (AOR = 1.06, p = 0.004) and diastolic blood pressure (AOR = 1.12, p = 0.007) on DR development remained significant even after adjustment for diabetes duration and HbA1c.

CONCLUSIONS

Our results suggest that systolic and diastolic blood pressure are independent risk factors for DR in patients with T2DM.

HDL cholesterol is a protective predictor in the development and progression of retinopathy in type 1 diabetes: A 15-year follow-up study

AIMS

To evaluate the 15-year incidence of development and progression of diabetic retinopathy (DR) in type 1 diabetic patients (T1DM) and determine the associated risk factors.

METHODS

123 T1DM were included in this prospective cohort study and followed for 15 years. Demographic, clinical, laboratory parameters, and retinal photographs were collected and analyzed. Risk factors for DR development and progression were identified using Cox regression analysis.

RESULTS

At baseline, 87 (71%) patients had no DR, and 36 (29%) had nonproliferative DR (NPDR). After 15 years, 54 patients (43.9%; 29.3/1000 person-years) developed NPDR or progressed to proliferative DR (PDR); 24 (27.6%) developed new NPDR, and 30 (83.3%) progressed to PDR. HbA₁c (HR = 1.48, p = 0.008) and urinary albumin excretion rate (AER) (HR = 1.58, p = 0.045) were associated with the risk of DR development and progression, and a protective association was found for HDL cholesterol (HR = 0.17, p = 0.021). The presence of DR at baseline (HR = 2.95, p = 0.023) was associated with the risk of its progression to PDR.

CONCLUSIONS

The 15-year incidence of DR development and progression in T1DM is still very high, which points to the need for close monitoring of T1DM, especially those with higher HbA₁c, higher AER, the initial presence of DR, and lower HDL cholesterol.

Clustering of microvascular complications in Type 1 diabetes mellitus

AIMS

To describe to what extent microvascular complications exhibit clustering in persons with Type 1 diabetes, and to assess whether the presence of one complication modified the strength of the association between the other two.

METHODS

We conducted a cross-sectional analysis of the electronic medical records of 2276 persons with Type 1 diabetes treated in a specialized care hospital in Denmark in 2013. We used log-linear analysis to describe associations between diabetic kidney disease, neuropathy and retinopathy and logistic regression models to quantify the magnitude of associations adjusting for potential confounders.

RESULTS

The median duration of diabetes was 24 years and median HbA1c was 63 mmol/mol (7.9%). We found strong indication of clustering and found no evidence that presence of one complication modified the association between the other two. In models adjusted for diabetes duration and HbA_1c, persons with neuropathy had an OR of 2.15 (95% CI: 1.73-2.66) for concurrent diabetic kidney disease. Those with retinopathy had an OR of 2.49 (1.92-3.24) for diabetic kidney disease and of 2.66 (1.94-3.64) for neuropathy.

CONCLUSIONS

Microvascular complications in persons with Type 1 diabetes exhibit strong clustering. However, the association between any pair of complications is not modified by the presence of the third.

Total Serum Cholesterol Increases Risk for Development and Progression of Nonproliferative Retinopathy in Patients with Type 1 Diabetes Without Therapeutic Intervention: Prospective, Observational Study

INTRODUCTION

Results from studies investigating relationship between serum lipids and risk of development and progression of diabetic retinopathy (DR) in patients with type 1 diabetes (T1DM) are not consistent. The objective of this study was to explore the relationship between serum lipids and risk of development and progression of nonproliferative diabetic retinopathy (NPDR) in T1DM with normal renal function and with no therapeutic intervention that might influence on retinopathy and serum lipids status.

METHODS

A total of 103 T1DM with normal renal function (urinary albumin excretion rate <30 mg/24 h, estimated glomerular filtration rate (eGFR) >60 mL min^‒11.73m^‒2), and before any interventions with lipid-lowering therapy, ACE inhibitors or angiotensin II receptor blockers were included in this study and followed for 41 months. Photodocumented retinopathy status was made according to the EURODIAB protocol.

RESULTS

Patients who developed NPDR or progressed to proliferative retinopathy were older (44 vs. 33 years, p <0.001), had longer duration of diabetes (21.1 vs. 13.3 years, p <0.001), and higher serum total cholesterol level (5.1 vs. 4.5 mM/L, p = 0.02) compared to patients without retinopathy. In a backward stepwise Cox's multiple regression analysis serum total cholesterol was significantly associated with risk of development or progression of NPDR in our subjects (p = 0.04), with odds ratios of 1.27-1.91.

CONCLUSION

These data suggest that serum total cholesterol levels are associated with risk of development and progression of NPDR in T1DM and normal renal function. The study was conducted in patients with no therapeutic interventions.

Celiac Disease Does Not Influence Fracture Risk in Young Patients with Type 1 Diabetes

OBJECTIVES

To examine the risk of any fractures in patients with both type 1 diabetes (T1D) and celiac disease (CD) vs patients with T1D only.

STUDY DESIGN

We performed a population-based cohort study. We defined T1D as individuals aged ≤30 years who had a diagnosis of diabetes recorded in the Swedish National Patient Register between 1964 and 2009. Individuals with CD were identified through biopsy report data between 1969 and 2008 from any of Sweden's 28 pathology departments. Some 958 individuals had both T1D and CD and were matched for sex, age, and calendar period with 4598 reference individuals with T1D only. We then used a stratified Cox regression analysis, where CD was modeled as a time-dependent covariate, to estimate the risk of any fractures and osteoporotic fractures (hip, distal forearm, thoracic and lumbar spine, and proximal humerus) in patients with both T1D and CD compared with that in patients with T1D only.

RESULTS

During follow-up, 12 patients with T1D and CD had a fracture (1 osteoporotic fracture). CD did not influence the risk of any fracture (adjusted hazard ratio = 0.77; 95% CI = 0.42-1.41) or osteoporotic fractures (adjusted hazard ratio = 0.46; 95% CI = 0.06-3.51) in patients with T1D. Stratification for time since CD diagnosis did not affect risk estimates.

CONCLUSION

Having a diagnosis of CD does not seem to influence fracture risk in young patients with T1D. Follow-up in this study was, however, too short to ascertain osteoporotic fractures which traditionally occur in old age.

A classification model for predicting eye disease in newly diagnosed people with type 2 diabetes

Diabetic retinopathy may be present at the time type 2 diabetes is diagnosed, and initial screening encompassing an eye examination performed by an ophthalmologist or optometrist is therefore recommended. However, proper screening for retinopathy may be challenging in many parts of the world. We hypothesized that simple, commonly available patient characteristics can be used to identify patients at high risk for having retinopathy. We investigated data from multiple years extracted from the National Health and Nutrition Examination Survey which holds information about blood glucose and eye examinations. Individuals with hitherto undiagnosed diabetes were classified according to the presence or absence of retinopathy. Linear classification was used to predict which patients had retinopathy at the time of diagnosis. A total of 266 individuals with undiagnosed diabetes were identified from the cohorts. Of these, 222 individuals had no sign of retinopathy, whereas 44 had mild or moderate non-proliferative retinopathy. Using information regarding HbA1c, BMI, waist circumference, age, systolic blood pressure, urinary albumin, and urinary creatinine, we were able to construct a model that predicts the presence of retinopathy with a positive predictive value of 22% and a negative predictive value of 99%. Only one true positive (1/44) with mild non-proliferative retinopathy was falsely classified. A classification model using readily available patient information and routine biochemical measures can be used to identify patients at high risk of having retinopathy at the time their diabetes is diagnosed. The model may be used to identify high-risk patients for retinopathy screening.