Maria Thunander

Aims To explore whether circulating matrix metalloproteinase-2 (MMP-2), MMP-9, MMP-9/neutrophil gelatinase-associated lipocalin, MMP-9/tissue inhibitor of metalloproteinase-1 (TIMP-1), MMP-14, TIMP-2 and TIMP-3 were associated with the severity and progression of diabetic retinopathy (DR) in patients with type 1 diabetes (T1D). Methods Baseline and prospective analyses were conducted over a period of 10.5 person-years. In 2009, recruitment and biochemical analyses (MMPs, TIMPs, glycated haemoglobin (HbA1c), serum creatinine, macroalbuminuria) were performed. Fundus photography, performed at baseline and at follow-up in accordance with the regional screening programme, was compared after being categorised according to the International Clinical Diabetic Retinopathy Disease Severity Scale. ‘DR progression at least one leve’ was calculated. High MMP-2 was defined as ≥178 ng/mL (≥75th percentile) and high TIMP-2 as ≥205 ng/mL (≥75th percentile). DR was dichotomised as ‘at least moderate DR’ or ‘no/mild DR’. Results The study included 267 participants, 57% of whom were men. At baseline, the prevalence of high MMP-2 (p=0.001) and high TIMP-2 (p=0.008) increased with the severity of DR. ‘At least moderate DR’ (adjusted OR (AOR) 2.4, p=0.008) and macroalbuminuria (AOR 3.6, p=0.025) were independently associated with high MMP-2. ‘At least moderate DR’ (AOR 2.3, p=0.009) and macroalbuminuria (3.4, p=0.031) were independently associated with high TIMP-2. DR progression occurred in 101 (46%) patients (pConclusions High levels of MMP-2 and TIMP-2 indicated more severe DR or diabetic nephropathy. Only HbA1c was associated with the progression of DR in 267 patients with T1D.

Background and Aims: The ReFLeCT study demonstrated that switching to insulin degludec from other basal insulins was associated with reductions in glycated hemoglobin and hypoglycemic events in type 1 (T1D) and type 2 diabetes (T2D), and reductions in insulin doses in T1D. The aim of the present analysis was to assess the short- and long-term cost-effectiveness of switching to insulin degludec in Sweden. Methods: Short-term outcomes were evaluated over 1 year in a Microsoft Excel model, while long-term outcomes were projected over patient lifetimes using the IQVIA CORE Diabetes Model. Cohort characteristics and treatment effects were sourced from the ReFLeCT study. Costs (in 2018 Swedish krona [SEK]) encompassed direct medical expenditure and indirect costs from loss of workplace productivity. In the long-term analyses, patients were assumed to receive insulin degludec or continue prior insulin therapy (primarily insulin glargine U100) for 5 years, before all patients intensified to once-daily degludec and mealtime aspart. Results: Switching to insulin degludec was associated with improved quality-adjusted life expectancy of 0.04 and 0.02 quality-adjusted life years (QALYs) over 1 year, and 0.16 and 0.08 QALYs over patient lifetimes, in T1D and T2D. Combined costs in T1D and T2D were estimated to be SEK 1 249 lower and SEK 1 181 higher over the short term, and SEK 157 258 and SEK 2 114 lower over the long term. Benefits were due to lower insulin doses in T1D, reduced rates of hypoglycemia and lower incidences of diabetes-related complications. Insulin degludec was associated with an incremental cost-effectiveness ratio of SEK 64 298 per QALY gained for T2D over 1 year and considered dominant for T1D and T2D in all other comparisons. Conclusions: Insulin degludec was projected to be cost-effective or dominant versus other basal insulins for the treatment of T1D and T2D in Sweden.

Diabetes during pregnancy is an increasingly common metabolic disorder, associated with significantly increased risks for both mother and child. Aim of this study was to compare maternal and perinatal outcomes in women with pregestational (PDM) type 1 (T1DM), type 2 diabetes (T2DM), gestational diabetes mellitus (GDM) and compare these to pregnancies not complicated with diabetes. This study also evaluated a specifically organized care-model mostly involving specialist diabetes nurses. Retrospective population-based records review 2009–2012. Rates of maternal (preeclampsia, pre-term delivery, cesarean section (CS)) and fetal outcomes (large for gestational age (LGA), macrosomia, congenital malformations/intrauterine death) were assessed and potential predisposing or contributing factors as maternal age, ethnicity, obesity, weight gain, parity, HbA1c levels, insulin types and doses. Among 280 pregnancies 48 were PDM, 97 GDM and 135 without diabetes. Within the group with diabetes, early-pregnancy BMI was higher (p = 0.0001), pregnancy weight gain lower (11.1 ± 6.7 kg vs 13.1 ± 7.1 kg, p = 0.005), more delivered preterm (p = 0.0001), by CS (p = 0.05), and had more LGA neonates (p = 0.06) than the group without diabetes. Among pregnancies with diabetes, GDM mothers gained less weight (9.9 kg vs 13.5 kg) (p = 0.006), and rates of CS (p = 0.03), preterm deliveries (p = 0.001) and LGA (p = 0.0001) were not increased compared to PDM; More T1DM infants were LGA, 60% vs. 27% in T2DM. In pregnancies with diabetes obesity, excessive weight gain and multiparity were associated with increased risk of LGA neonates, and mother’s type of diabetes and gestational week were associated with higher rates of CS. Weight gain during pregnancy was lower in pregnancies with diabetes and prevalence of LGA, CS and preterm deliveries in GDM was not elevated, also for T2DM, except increased prevalence of LGA in T1DM that warrants increased clinical attention, indicating that this model of antenatal diabetes care may have contributed to improved maternal and fetal outcomes.

Depression, metabolic disturbances and inflammation have been linked to cardiovascular disease and mortality. Low levels of high-density lipoprotein cholesterol (HDL-cholesterol), a known marker of cardiovascular risk, have been observed in patients with major depression in psychiatric populations. Our main aim was to explore associations between depression, antidepressants, and metabolic and inflammatory variables in patients with type 1 diabetes (T1D). A secondary aim was to explore variables associated with HDL-cholesterol. Cross-sectional design. T1D patients (n = 292, men 55%, age18–59 years, diabetes duration ≥1 year) were consecutively recruited from one specialist diabetes clinic. Depression was defined as ≥8 points for Hospital Anxiety and Depression Scale-Depression sub scale. Blood samples, anthropometrics, blood pressure, and data regarding medication and life style were collected from electronic health records. Non-parametric tests, multiple logistic and linear regression analyses were performed. The depression prevalence was 10 and 8% used antidepressants. Median (q1, q3) HDL-cholesterol (mmol/l) was for the depressed 1.3 (1.2, 1.5) and for the non-depressed 1.6 (1.3, 1.8), p = 0.001. HDL-cholesterol levels (per mmol/l) were negatively associated with depression (Adjusted odds ratio (AOR) 0.2, p = 0.007), and the use of antidepressants was positively associated with depression (AOR 8.1, p < 0.001). No other metabolic or inflammatory variables, or life style factors, were associated with depression when adjusted for antidepressants. Abdominal obesity was associated with antidepressants in women (AOR 4.6, p = 0.029). Decreasing HDL-cholesterol levels were associated with increasing triglyceride levels (p < 0.001), increasing high-sensitive C-reactive protein (hs-CRP) levels (p = 0.021), younger age (p < 0.001), male sex (p < 0.001), and depression (p = 0.045). Lower HDL-cholesterol levels, known predictors of cardiovascular disease, were associated with depression in patients with T1D. The use of antidepressants was associated with abdominal obesity in women. Depression, low-grade inflammation measured as hs-CRP, higher triglycerides, male sex, and lower age were independently associated with lower HDL-cholesterol levels.

Abdominal obesity is linked to cardiovascular diseases in type 1 diabetes (T1D). The primary aim was to explore associations between abdominal obesity and cardiovascular complications, metabolic and inflammatory factors. The secondary aim was to explore whether achieved recommended treatment targets differed between the obese and non-obese participants. Cross sectional study of 284 T1D patients (age 18–59 years, men 56%), consecutively recruited from one secondary care specialist diabetes clinic in Sweden. Anthropometrics, blood pressure, serum-lipids and high-sensitivity C-reactive protein (hs-CRP) were collected and supplemented with data from the patients’ medical records and from the Swedish National Diabetes Registry. Abdominal obesity was defined as waist circumference men/women (meters): ≥1.02/≥0.88. Hs-CRP was divided into low-, moderate-, and high-risk groups for future cardiovascular events (< 1, 1 to 3, and > 3 to ≤8.9 mg/l). Treatment targets were blood pressure ≤ 130/≤ 80, total cholesterol ≤4.5 mmol/l, LDL: ≤ 2.5 mmol/l, and HbA1c: ≤5 2 mmol/mol (≤ 6.9%). Different explanatory linear, logistic and ordinal regression models were elaborated for the associations, and calibrated and validated for goodness of fit with the data variables. The prevalence of abdominal obesity was 49/284 (17%), men/women: 8%/29% (P < 0.001). Women (adjusted odds ratio (AOR) 6.5), cardiovascular complications (AOR 5.7), HbA1c > 70 mmol/mol (> 8.6%) (AOR 2.7), systolic blood pressure (per mm Hg) (AOR 1.05), and triglycerides (per mmol/l) (AOR 1.7), were associated with abdominal obesity. Sub analyses (n = 171), showed that abdominal obesity (AOR 5.3) and triglycerides (per mmol/l) (AOR 2.8) were associated with increasing risk levels of hs-CRP. Treatment targets were obtained for fewer patients with abdominal obesity for HbA1c (8% vs 21%, P = 0.044) and systolic blood pressure (51% vs 68%, P = 0.033). No patients with abdominal obesity reached all treatment targets compared to 8% in patients without abdominal obesity. Significant associations between abdominal obesity and gender, cardiovascular disease, and the cardiovascular risk factors low-grade inflammation, systolic blood pressure, high HbA1c, and triglycerides, were found in 284 T1D patients. Fewer patients with abdominal obesity reached the treatment targets for HbA1c and systolic blood pressure compared to the non-obese.

Increased prevalence of depression is found in both type 2 diabetes (T2D) and type 1 diabetes (T1D). Melancholia and atypical depression differ by cortisol secretion and clinical features. The aim was to compare the clinical presentation of T1D and T2D patients in relation to self-reported depression, self-reported anxiety, alexithymia, obesity, and midnight salivary cortisol (MSC). Comparative cross-sectional design. The participants were consecutively recruited from one hospital diabetes outpatient clinic: 24 T2D patients (31–59 years) and 148 T1D patients (32–59 years). Self-reported depression, anxiety and alexithymia were assessed by Hospital Anxiety and Depression scale and Toronto Alexithymia Scale-20. MSC, HbA1c, anthropometrics and data from medical records were collected. Multiple logistic regression analyses were performed. Comparisons of prevalence between diabetes types showed for T2D/T1D: depression 25%/12% (P = 0.10); high MSC (≥9.3 nmol/L) 38%/22% (P = 0.13); alexithymia 25%/13% (P = 0.12); anxiety 38%/35% (P = 0.82). The prevalence of high MSC did not differ between depressed and non-depressed T2D patients (17% vs. 44%, P = 0.35), but differed between depressed and non-depressed T1D patients (53% vs. 18%, P = 0.003). The alexithymia prevalence differed between depressed and non-depressed T2D patients (67% vs.11%, P = 0.018), and between depressed and non-depressed T1D patients (47% vs. 11%, P < 0.001). The anxiety prevalence did not differ between depressed and non-depressed T2D patients (67% vs. 28%, P = 0.15), but differed between depressed and non-depressed T1D patients (76% vs. 30%, P < 0.001). The obesity prevalence (BMI ≥30 kg/m2) was 83% for depressed T2D patients and 6% for depressed T1D patients. In the T2D patients, depression was associated with alexithymia (Adjusted odds ratio (AOR) 15.0). In the T1D patients, depression was associated with anxiety (AOR 11.0), foot complications (AOR 8.5), HbA1C >70 mmol/mol (AOR 6.4), and high MSC (≥9.3 nmol/L) (AOR 4.8). The depressed T2D patients had traits of atypical depression, without associated high MSC (≥9.3 nmol/L) and anxiety, but the association with alexithymia was strong. The depressed T1D patients had traits of melancholia with associated high MSC and anxiety. The obesity prevalence was high in depressed T2D patients and low in depressed T1D patients.

Obesity is linked to cardiovascular diseases and increasingly common in type 1 diabetes mellitus (T1DM) since the introduction of intensified insulin therapy. Our main aim was to explore associations between obesity and depression, anxiety, alexithymia and self-image measures and to control for lifestyle variables in a sample of persons with T1DM. Secondary aims were to explore associations between abdominal and general obesity and cardiovascular complications in T1DM. Cross sectional study of 284 persons with T1DM (age 18–59 years, men 56%), consecutively recruited from one secondary care hospital diabetes clinic in Sweden. Assessments were performed with self-report instruments (Hospital Anxiety and Depression Scale, Toronto Alexithymia Scale-20 items and Structural Analysis of Social Behavior). Anthropometrics and blood samples were collected for this study and supplemented with data from the patients’ medical records. Abdominal obesity was defined as waist circumference men/women (meters): ≥1.02/≥0.88, and general obesity as BMI ≥30 kg/m2 for both genders. Abdominal obesity was chosen in the analyses due to the high association with cardiovascular complications. Different explanatory logistic regression models were elaborated for the associations and calibrated and validated for goodness of fit with the data variables. The prevalence of abdominal obesity was 49/284 (17%), men/women: 8%/29% (P < 0.001). Abdominal obesity was associated with women (AOR 4.9), physical inactivity (AOR 3.1), alexithymia (AOR 2.6) and age (per year) (AOR 1.04). One of the three alexithymia sub factors, “difficulty identifying feelings” (AOR 3.1), was associated with abdominal obesity. Gender analyses showed that abdominal obesity in men was associated with “difficulty identifying feelings” (AOR 7.7), and in women with use of antidepressants (AOR 4.3) and physical inactivity (AOR 3.6). Cardiovascular complications were associated with abdominal obesity (AOR 5.2). Alexithymia, particularly the alexithymia subfactor “difficulty identifying feelings”, physical inactivity, and women, as well as cardiovascular complications were associated with abdominal obesity. As abdominal obesity is detrimental in diabetes due to its association with cardiovascular complications, our results suggest two risk factor treatment targets: increased emotional awareness and increased physical activity.