Hyperglycaemia in people with diabetes and chronic kidney disease.

Assessment and treatment of hyperglycaemia in people with diabetes and chronic kidney disease (CKD) are challenging. In advanced CKD HbA1c can be unreliable, and treatment adjustments should be supported by other glucose measurements (e.g., continuous glucose monitoring (CGM) or blood glucose measurements). Glucose-lowering treatments should be evaluated based on CKD and an individualised assessment of risk factors especially hypoglycaemia. This review aims at providing an overview of the options for glycaemic monitoring and glucose-lowering treatments in people with diabetes and CKD.

Combination therapy for kidney disease in people with diabetes mellitus.

Diabetic kidney disease (DKD), defined as co-existing diabetes and chronic kidney disease in the absence of other clear causes of kidney injury, occurs in approximately 20-40% of patients with diabetes mellitus. As the global prevalence of diabetes has increased, DKD has become highly prevalent and a leading cause of kidney failure, accelerated cardiovascular disease, premature mortality and global health care expenditure. Multiple pathophysiological mechanisms contribute to DKD, and single lifestyle or pharmacological interventions have shown limited efficacy at preserving kidney function. For nearly two decades, renin-angiotensin system inhibitors were the only available kidney-protective drugs. However, several new drug classes, including sodium glucose cotransporter-2 inhibitors, a non-steroidal mineralocorticoid antagonist and a selective endothelin receptor antagonist, have now been demonstrated to improve kidney outcomes in people with type 2 diabetes mellitus. In addition, emerging preclinical and clinical evidence of the kidney-protective effects of glucagon-like-peptide-1 receptor agonists has led to the prospective testing of these agents for DKD. Research and clinical efforts are geared towards using therapies with potentially complementary efficacy in combination to safely halt kidney disease progression. As more kidney-protective drugs become available, the outlook for people living with DKD should improve in the next few decades.

Effect of dapagliflozin on collectins and complement activation in plasma from patients with type 2 diabetes and albuminuria: Data from the DapKid cohort.

BACKGROUND: Sodium-glucose cotransporter 2 (SGLT- 2) inhibitors exert cardiovascular and kidney-protective effects in people with diabetes. Attenuation of inflammation could be important for systemic protection. The lectin pathway of complement system activation is linked to diabetic nephropathy. We hypothesized that SGLT-2 inhibitors lower the circulating level of pattern-recognition molecules of the lectin cascade and attenuate systemic complement activation. METHODS: Analysis of paired plasma samples from the DapKid crossover intervention study where patients with type 2 diabetes mellitus (T2DM) and albuminuria were treated with dapagliflozin and placebo for 12 weeks (10 mg/day, n=36). ELISA was used to determine concentrations of collectin kidney 1 (CL-K1), collectin liver 1 (CL-L1), mannose-binding lectin (MBL), MBL-associated serine protease 2 (MASP-2), the anaphylatoxin complement factor 3a (C3a), the stable C3 split product C3dg and the membrane attack complex (sC5b-9). RESULTS: As published before, dapagliflozin treatment lowered Hba1C from 74 (14.9) mmol/mol to 66 (13.9) mmol/mol (p<0.0001), and the urine albumin/creatinine ratio from 167.8 mg/g to 122.5 mg/g (p<0.0001). Plasma concentrations of CL-K1, CL-L1, MBL, and MASP-2 did not change significantly after dapagliflozin treatment (P>0.05) compared to placebo treatment. The plasma levels of C3a (P<0.05) and C3dg (P<0.01) increased slightly but significantly, 0.6 [0.2] units/mL and 76 [52] units/mL respectively, after dapagliflozin treatment. The C9-associated neoepitope in C5b-9 did not change in plasma concentration by dapagliflozin (P>0.05). CONCLUSION: In patients with type 2 diabetes and albuminuria, SGLT-2 inhibition resulted in modest C3 activation in plasma, likely not driven by primary changes in circulating collectins and not resulting in changes in membrane attack complex. Based on systemic analyses, organ-specific local protective effects of gliflozins against complement activation cannot be excluded.

Randomized Trial of SGLT2 Inhibitor Identifies Target Proteins in Diabetic Kidney Disease.

Introduction: Sodium-glucose cotransporter 2 inhibitors (SGLT2i) have emerged as novel therapeutics to treat diabetic kidney disease (DKD). Although the beneficial effects of SGLT2i have been demonstrated, their target mechanisms on kidney function are unknown. The current study aimed to elucidate these mechanisms by studying SGLT2i-induced changes in the urinary proteome of persons with type 2 diabetes (T2D) and DKD. Methods: A total of 40 participants with T2D were enrolled in a double-blinded randomized cross-over trial at the Steno Diabetes Center Copenhagen, Denmark. They were treated with 10 mg of dapagliflozin for 12 weeks. Thirty-two participants with complete urinary proteomics measures before and after the trial were included. All participants received renin-angiotensin system blockade and had albuminuria, (urine albumin-to-creatinine ratio [UACR] ≥30 mg/g). A type 1 diabetes (T1D) cohort consisting of healthy controls and persons with DKD was included for validation. Urinary proteome changes were analyzed using Wilcoxon signed-rank test. Functional enrichment analysis was conducted to discover affected biological processes. Results: Dapagliflozin treatment significantly (Padjusted < 0.05) affected 36 urinary peptide fragments derived from 19 proteins. Eighteen proteins were correspondingly reflected in the validation cohort. A multifold change in peptide abundance was observed in many proteins (A1BG, urinary albumin [ALB], Caldesmon 1, COLCRNN, heat shock protein 90-ß [HSP90AB1], IGLL5, peptidase inhibitor 16 [PI16], prostaglandin-H2-D-isomerase [PTGDS], SERPINA1). These also included urinary biomarkers of kidney fibrosis and function (type I and III collagens and albumin). Biological processes relating to inflammation, wound healing, and kidney fibrosis were enriched. Conclusion: The current study discovers the urinary proteome impacted by the SGLT2i, thereby providing new potential target sites and pathways, especially relating to wound healing and inflammation.

"I Haven't Told Anyone but You": Experiences and Biopsychosocial Support Needs of People With Type 2 Diabetes and Binge Eating.

Up to 25% of people with type 2 diabetes (T2D) may binge eat which is almost 10 times as many as in the general population. Binge eating is associated with depression, anxiety, and social isolation. Moreover, binge eating may increase the risk of obesity and high blood glucose levels, both of which can accelerate the onset of complications to diabetes and death in people with T2D. Still, little is known about the experiences, needs, and preferences of people with T2D and binge eating that can inform and develop current and future treatment efforts. The aim of the study was therefore to gain in-depth insights into the experiences and biopsychosocial support needs of women and men with T2D and binge eating. Twenty semi-structured individual interviews (65% with females) were conducted and analyzed according to the methodology of Interpretive Description. Four themes were identified: (a) T2D and binge eating: Feeling trapped in a vicious circle; (b) Unwanted outcasts: Responding to continuous criticism; (c) Biomedical relief: Blaming and adjusting the body; and, (d) Silent struggles: Wanting to cease the secrecy. Pertinent to all themes were the guilt, shame, and worries about developing complications that the participants experienced when binge eating despite having T2D. Although binge eating triggered emotional distress, binge eating was at the same time a way of coping with such distress. Implications for treatment and future research are discussed, including the need to systematically assess and address binge eating in routine T2D care.

The development of type 2 diabetes management in people with severe mental illness in the Capital Region of Denmark from 2001 to 2015.

BACKGROUND: Type 2 diabetes (T2D) treatment has changed markedly within the last decades. We aimed to explore whether people with severe mental illness (SMI) have followed the same changes in T2D treatment as those without SMI, as multiple studies suggest that people with SMI receive suboptimal care for somatic disorders. METHODS: In this registry-based annual cohort study, we explored the T2D treatment from 2001 to 2015 provided in general practices of the Greater Copenhagen area. We stratified the T2D cohorts by their pre-existing SMI status. T2D was defined based on elevated glycated hemoglobin (≥48 mmol/mol) or glucose (≥11 mmol/L) using data from the Copenhagen Primary Care Laboratory Database. Individuals with schizophrenia spectrum disorders (ICD-10 F20-29) or affective disorders (bipolar disorder or unipolar depression, ICD-10 F30-33) were identified based on hospital-acquired diagnoses made within 5 years before January 1 each year for people with prevalent T2D or 5 years before meeting our T2D definition for incident patients. For comparison, we defined a non-SMI group, including people who did not have a hospital-acquired diagnosis of schizophrenia spectrum disorders, affective disorders, or personality disorders. For each calendar year, we assembled cohorts of people with T2D with or without SMI. We used Poisson regression to calculate the rates per 100 person-years of having at least one biochemical test (glycated hemoglobin, low-density lipoprotein cholesterol, estimated glomerular filtration rate, and urine albumin-creatinine ratio), having poor control of these biochemical results, taking glucose-lowering or cardiovascular medications, or experiencing a clinical outcome, including all-cause mortality and cardiovascular mortality. Three outcomes (cardiovascular events, cardiovascular mortality, and all-cause mortality) were additionally examined and adjusted for age and sex in a post hoc analysis. RESULTS: From 2001 to 2015, 66,914 individuals were identified as having T2D. In 2015, 1.5% of the study population had schizophrenia spectrum disorder and 1.4% had an affective disorder. The number of people who used biochemical tests or had poor biochemical risk factor control was essentially unrelated to SMI status. One exception was that fewer LDL cholesterol tests were done on people with affective disorders and schizophrenia spectrum disorders at the beginning of the study period compared to people in the non-SMI group. This difference gradually diminished and was almost nonexistent by 2011. There was also a slightly slower rise in UACR test rates in the SMI groups compared to other people with T2D during the period. Throughout the study period, all groups changed their use of medications in similar ways: more metformin, less sulfonylurea, more lipid-lowering drugs, and more ACEi/ARBs. However, people with schizophrenia disorder consistently used fewer cardiovascular medications. Cardiovascular events were more common in the affective disorder group compared to the non-SMI group from 2009 to 2015 (rate ratio 2015 : 1.36 [95% CI 1.18-1.57]). After adjustment for age and sex, all-cause mortality was significantly higher among people with a schizophrenia spectrum disorder each year from 2003 to 2015 compared to the non-SMI group (rate ratio 2015 : 1.99 [95% CI 1.26-3.12]). CONCLUSION: Persons with schizophrenia or affective disorders demonstrated the same treatment changes for T2D as those without SMI in general practice. The lower use of most types of cardiovascular medications among people with schizophrenia disorders indicates potential undertreatment of hypertension and dyslipidemia and remains throughout the study period. Cardiovascular events were most common among people with affective disorders, but this was not reflected in a higher proportion using cardiovascular preventive medications. This knowledge should be considered in the management of this vulnerable patient group.

Risk factor analysis for a rapid progression of chronic kidney disease.

BACKGROUND: Chronic kidney disease (CKD) is a growing global health concern. Identifying individuals in routine clinical care with new onset CKD at high risk of rapid progression of the disease is imperative to guide allocation of prophylactic interventions, but community-based data are limited. We aimed to examine the risk of rapid progression, kidney failure, hospitalisation and death among adults with incident CKD stage G3 and to clarify the association between predefined risk markers and rapid CKD progression. METHODS: Using plasma creatinine measurements for the entire Danish population from both hospitals and primary care, we conducted a nationwide, population-based cohort study, including adults in Denmark with incident CKD stage G3 in 2017-2020. We estimated 3-year risks of rapid progression (defined by a confirmed decline in estimated glomerular filtration rate of ≥5 ml/min/1.73 m2/year), kidney failure, all-cause hospitalisation and death. To examine risk markers, we constructed a heat map showing the risk of rapid progression based on predefined markers: albuminuria, sex, diabetes and hypertension/cardiovascular disease. RESULTS: Among 133 443 individuals with incident CKD stage G3, the 3-year risk of rapid progression was 14.6% (95% confidence interval (CI): 14.4-14.8). The 3-year risks of kidney failure, hospitalisation and death were 0.3% (95% CI: 0.3-0.4), 53.3% (95% CI: 53.0-53.6) and 18.1% (95% CI: 17.9-18.4), respectively. In the heat map, the 3-year risk of rapid progression ranged from 7% in females without albuminuria, hypertension/cardiovascular disease or diabetes, to 46-47% in males and females with severe albuminuria, hypertension/cardiovascular disease and diabetes. CONCLUSION: This population-based study shows that CKD stage G3 is associated with considerable morbidity in a community-based setting and underscores the need for optimised prophylactic interventions among such patients. Moreover, our data highlight the potential of using easily accessible markers in routine clinical care to identify individuals who are at high risk of rapid progression.

Albuminuria-lowering effect of adding semaglutide on top of empagliflozin in individuals with type 2 diabetes: A randomized and placebo-controlled study.

AIM: To investigate whether combined treatment with empagliflozin (a sodium-glucose cotransporter-2 inhibitor) and semaglutide (a glucagon-like peptide-1 receptor agonist) can reduce urinary albumin-creatinine ratio (UACR) compared to treatment with empagliflozin alone in individuals with type 2 diabetes (T2D) and albuminuria. METHODS: We conducted a randomized, placebo-controlled, double-blind, parallel study including 60 individuals with T2D and albuminuria. All participants initiated open-label empagliflozin 25 mg once daily, on top of renin-angiotensin system inhibition, in a run-in period of 26 weeks. Subsequently, participants were randomized to semaglutide or placebo 1 mg once weekly for 26 weeks. The primary endpoint was change in UACR. Secondary endpoints were change in: (i) measured glomerular filtration rate (GFR); (ii) 24-hour systolic blood pressure; (iii) glycated haemoglobin (HbA1c) level; (iv) body weight; and (v) plasma renin and aldosterone levels. RESULTS: Addition of semaglutide to empagliflozin provided no additional change in UACR from randomization to end-of-treatment. The mean (95% confidence interval) difference in UACR was -22 (-44; 10)% (P = 0.15) between treatment groups. Neither GFR, 24-hour blood pressure, body weight, nor plasma renin activity was changed with semaglutide. HbA1c (-8 [-13; -3] mmol/mol; P = 0.003) and plasma aldosterone (-30 [-50; -3] pmol/L; P = 0.035) were reduced with semaglutide compared to placebo. CONCLUSIONS: Semaglutide added to empagliflozin did not change UACR, measured GFR, 24-hour systolic blood pressure, body weight or plasma renin levels in individuals with T2D and albuminuria. Semaglutide improved glycaemic control and plasma aldosterone levels compared to placebo.

Design and methodology of the PRIMETIME 1 cohort study: PRecIsion MEdicine based on kidney TIssue Molecular interrogation in diabetic nEphropathy.

Background: Clinical features of diabetic kidney disease alone cannot differentiate between the histopathology that defines diabetic nephropathy (DN) and non-diabetic nephropathy (NDN). A kidney biopsy is necessary to make the definitive diagnosis of DN. However, there is no consensus on when to perform a kidney biopsy in individuals with diabetes and kidney disease. Furthermore, the implications of NDN versus DN for management, morbidity and kidney prognosis are unclear. To address the gap in knowledge, we aimed to create a national retrospective cohort of people with diabetes and a performed kidney biopsy. Methods: Adults diagnosed with diabetes in Denmark between 1996 and 2020 who had a kidney biopsy performed were included. The cohort was established by linking a nationwide diabetes registry with the Danish Pathology Registry. Data from 11 national registries and databases were compiled. The type of kidney disease was classified using a three-step analysis of Systematized Nomenclature of Medicine codes reported in relation to the histopathological examinations of kidney tissue. The final cohort and classification of kidney disease was as follows: out of 485 989 individuals with diabetes 2586 were included, 2259 of whom had type 2 diabetes. We were able to classify 599 (26.5%) with DN, 703 (31.1%) with NDN and 165 (7.3%) with mixed disease in individuals with type 2 diabetes. In individuals with type 1 diabetes, 132 (40.4%) had DN, 73 (22.3%) NDN and 39 (11.9%) mixed disease. The remaining could not be classified or had normal histology. The overall median (Q1-Q3) follow-up time was 3.8 (1.6-7.2) years. Conclusions: This cohort is a novel platform based on high-quality registry data for important longitudinal studies of the impact of kidney disease diagnosis on prognosis. With regular updates of data from the Danish registries, the presented follow-up will increase over time and is only limited by emigration or death.

The effect of metformin treatment on volumes of free-living physical activity and sedentary behaviour: A post-hoc analysis of the PRE-D trial.

Perceived physical exertion is increased when exercise is performed on metformin treatment, but the clinical relevance of this is unknown. In this post hoc analysis of a randomized, controlled trial, we investigated whether metformin treatment was associated with lower levels of free-living physical activity. Ninety individuals with overweight/obesity (BMI>25 m2/kg) and HbA1c-defined prediabetes (39-47 mmol/mol) were randomized to treatment with dapagliflozin (SGLT2-inhibitor; 10 mg once daily, n=30), metformin (850 mg twice daily, n=30) or no treatment (control, n=30) for 13 weeks in a parallel-group, open-label trial. Before (baseline), during (6 weeks) and immediately after (13 weeks) cessation of treatment, a 6-day assessment of physical activity and sedentary behaviour was performed using accelerometer-based physical activity monitors. Intention-to-treat analyses revealed no within-group changes or differences in change between the groups for any measures of physical activity or sedentary behaviour at neither 6 nor 13 weeks. Short-term metformin treatment does not reduce free-living physical activity level in individuals with overweight/obesity and HbA1c-defined prediabetes.

Precision Medicine and/or Biomarker Based Therapy in T2DM: Ready for Prime Time?

Approximately 30-40% of people with type 2 diabetes mellitus develop chronic kidney disease. This is characterised by elevated blood pressure, declining kidney function and enhanced cardiovascular morbidity and mortality. Increased albuminuria and decreasing estimated glomerular function has to be evaluated regularly to diagsnose kidney disease. New biomarkers may facilitate early diagnosis and provide infomation on undlying pathology thereby supporting early precision intervention for the optimal benefit. A number of biomarkers have been suggested but are not yet implemented in clinical practice. iI the future such bimarkers may pave the way for personalized treatment.

Prognosis and Personalized In Silico Prediction of Treatment Efficacy in Cardiovascular and Chronic Kidney Disease: A Proof-of-Concept Study.

(1) Background: Kidney and cardiovascular diseases are responsible for a large fraction of population morbidity and mortality. Early, targeted, personalized intervention represents the ideal approach to cope with this challenge. Proteomic/peptidomic changes are largely responsible for the onset and progression of these diseases and should hold information about the optimal means of treatment and prevention. (2) Methods: We investigated the prediction of renal or cardiovascular events using previously defined urinary peptidomic classifiers CKD273, HF2, and CAD160 in a cohort of 5585 subjects, in a retrospective study. (3) Results: We have demonstrated a highly significant prediction of events, with an HR of 2.59, 1.71, and 4.12 for HF, CAD, and CKD, respectively. We applied in silico treatment, implementing on each patient's urinary profile changes to the classifiers corresponding to exactly defined peptide abundance changes, following commonly used interventions (MRA, SGLT2i, DPP4i, ARB, GLP1RA, olive oil, and exercise), as defined in previous studies. Applying the proteomic classifiers after the in silico treatment indicated the individual benefits of specific interventions on a personalized level. (4) Conclusions: The in silico evaluation may provide information on the future impact of specific drugs and interventions on endpoints, opening the door to a precision-based medicine approach. An investigation into the extent of the benefit of this approach in a prospective clinical trial is warranted.

Risk of atrial fibrillation in individuals with dysglycemia and diabetes.

OBJECTIVE: Diabetes is a risk factor for atrial fibrillation (AF), and increases the risk of thromboembolic events in persons with AF. However, the link between the two conditions is not fully elucidated. Few studies have investigated the association of dysglycemia and incident AF. We investigated the risk of incident AF and prognosis according to diabetes status. RESEARCH DESIGN AND METHODS: The Copenhagen Primary Care Laboratory Database was merged with data on medical prescriptions, in- and outpatient contacts and vital status. The risk of AF according to diabetes status was investigated by use of Cox regression models. RESULTS: Of 354.807 individuals with a hemoglobin A1c (HbA1c) measurement, 28.541 (8 %) had known diabetes, 13.038 (4 %) had new onset diabetes and 27.754 (8 %) had prediabetes (HbA1c 42-47 mmol/mol). Persons with dysglycemia (HbA1c > 42 mmol/mol) and diabetes were older, more were men, they had lower level of education and were more likely to be living alone. We observed a gradual increase in risk of developing AF from HbA1c levels of 40 to 60 mmol/mol. In adjusted analyses we found a stepwise increase in hazard of AF from normoglycemia over prediabetes to persons with diabetes (no diabetes: 1.00 [ref.]; prediabetes: 1.12 [1.08-1.16]; new-onset diabetes: 1.16 [1.10-1.22]; known diabetes: 1.15 [1.11-1.20]). Persons with known diabetes had a significant higher hazard of stroke, cardiovascular and all-cause mortality. CONCLUSION: Increasing levels of HbA1c were associated with an increased hazard of developing AF. Persons with new onset of diabetes and those with known diabetes had similar hazard of developing AF, however persons with known diabetes had a significant higher hazard of stroke, cardiovascular- and all-cause mortality.

Time Trends in the Incidence of Diabetic Ketoacidosis Leading to Hospital Admission Among Adults With Type 1 Diabetes: A Nationwide Danish Register Study.

OBJECTIVE: Diabetic ketoacidosis (DKA) is a life-threatening but preventable complication in people with type 1 diabetes. We aimed to quantify the incidence of DKA according to age and describe the time trend of DKA among adults with type 1 diabetes in Denmark. RESEARCH DESIGN AND METHODS: Individuals aged ≥18 years with type 1 diabetes were identified from a nationwide Danish diabetes register. Hospital admissions due to DKA were ascertained from the National Patient Register. The follow-up period was from 1996 to 2020. RESULTS: The cohort consisted of 24,718 adults with type 1 diabetes. The incidence rate of DKA per 100 person-years (PY) decreased with increasing age for both men and women. From 20 to 80 years of age, the DKA incidence rate decreased from 3.27 to 0.38 per 100 PY. From 1996 to 2008, the incidence rate of DKA increased for all age-groups, with a subsequent minor decrease in incidence rate until 2020. From 1996 to 2008, the incidence rates increased from 1.91 to 3.77 per 100 PY for a 20-year-old individual and from 0.22 to 0.44 per 100 PY for an 80-year-old individual living with type 1 diabetes. From 2008 to 2020 the incidence rates decreased from 3.77 to 3.27 and from 0.44 to 0.38 per 100 PY, respectively. CONCLUSIONS: The incidence rates of DKA are declining for all ages, with an overall decline from 2008 for both men and women. This likely reflects improved diabetes management for individuals with type 1 diabetes in Denmark.

Overall and inter-individual effect of four different drug classes on soluble urokinase plasminogen activator receptor in type 1 and type 2 diabetes.

AIM: To evaluate the effect of four different drug classes on soluble urokinase plasminogen activator receptor (suPAR), a biomarker active in multiple inflammatory processes and a risk factor for complications, in people with type 1 and type 2 diabetes. METHODS: We conducted post hoc analyses of a randomized, open-label, crossover trial including 26 adults with type 1 and 40 with type 2 diabetes with urinary albumin-creatinine ratio ≥30 and ≤500 mg/g assigned to 4-week treatments with telmisartan 80 mg, empagliflozin 10 mg, linagliptin 5 mg and baricitinib 2 mg, separated by 4-week washouts. Plasma suPAR was measured before and after each treatment. SuPAR change after each treatment was calculated and, for each individual, the best suPAR-reducing drug was identified. Subsequently, the effect of the best individual drug was compared against the mean of the other three drugs. Repeated-measures linear mixed-effects models were employed. RESULTS: The baseline median (interquartile range) plasma suPAR was 3.5 (2.9, 4.3) ng/mL. No overall effect on suPAR levels was observed for any one drug. The individual best-performing drug varied, with baricitinib being selected for 20 participants (30%), followed by empagliflozin for 19 (29%), linagliptin for 16 (24%) and telmisartan for 11 (17%). The individual best-performing drug reduced suPAR by 13.3% (95% confidence interval [CI] 3.7, 22.8; P = 0.007). The difference in suPAR response between the individual best-performing drug and the other three was -19.7% (95% CI -23.1, -16.3; P < 0.001). CONCLUSIONS: We demonstrated no overall effect of 4-week treatment with telmisartan, empagliflozin, linagliptin or baricitinib on suPAR. However, individualization of treatment might significantly reduce suPAR levels.