[Antihyperglycemic treatment guidelines for diabetes mellitus type 2 (Update 2023)]. / Antihyperglykämische Therapie bei Diabetes mellitus Typ 2 (Update 2023).

Hyperglycemia significantly contributes to complications in patients with diabetes mellitus. While lifestyle interventions remain cornerstones of disease prevention and treatment, most patients with type 2 diabetes will eventually require pharmacotherapy for glycemic control. The definition of individual targets regarding optimal therapeutic efficacy and safety as well as cardiovascular effects is of great importance. In this guideline we present the most current evidence-based best clinical practice data for healthcare professionals.

[Lipids-Diagnosis and therapy in diabetes mellitus (Update 2023)]. / Lipide: Diagnostik und Therapie bei Diabetes mellitus (Update 2023).

Hyper- and dyslipidemia contribute to cardiovascular morbidity and mortality in diabetic patients. Pharmacological therapy to lower LDL cholesterol has convincingly shown to reduce cardiovascular risk in diabetic patients. The present article represents the recommendations of the Austrian Diabetes Association for the use of lipid-lowering drugs in diabetic patients according to current scientific evidence.

[Diabetic kidney disease (update 2023) : Position paper of the Austrian Diabetes Association and the Austrian Society for Nephrology]. / Diabetische Nierenerkrankung (Update 2023) : Positionspapier der Österreichischen Diabetes Gesellschaft und der Österreichischen Gesellschaft für Nephrologie.

Epidemiological investigations have shown that approximately 2-3% of all Austrians have diabetes mellitus with renal involvement, leaving 250,000 people in Austria affected. The risk of occurrence and progression of this disease can be attenuated by lifestyle interventions as well as optimization of blood pressure, blood glucose control and special drug classes. The present article represents the joint recommendations of the Austrian Diabetes Association and the Austrian Society of Nephrology for the diagnostic and treatment strategies of diabetic kidney disease.

[Diabetes mellitus, coronary artery disease and heart disease (Update 2023)]. / Diabetes mellitus, koronare Herzkrankheit und Herzinsuffizienz (Update 2023).

Diabetes mellitus, cardiovascular disease and heart failure are interacting dynamically. Patients being diagnosed with cardiovascular disease should be screened for diabetes mellitus. Enhanced cardiovascular risk stratification based on biomarkers, symptoms and classical risk factors should be performed in patients with preexisting diabetes mellitus. In patients with previously diagnosed arterosclerotic cardiovascular disease an agent proven to reduce major adverse cardiovascular events or cardiovascular mortality is recommended.

[Geriatric aspects for the management of diabetes mellitus (Update 2023)]. / Geriatrische Aspekte bei Diabetes mellitus (Update 2023).

There is a high prevalence of diabetes mellitus in the elderly population of industrial countries. The present article provides recommendations for the screening, prevention and treatment of elderly diabetic patients according to current scientific evidence.

Biomarkers Predictive for In-Hospital Mortality in Patients with Diabetes Mellitus and Prediabetes Hospitalized for COVID-19 in Austria: An Analysis of COVID-19 in Diabetes Registry.

BACKGROUND: This study assessed the predictive performance of inflammatory, hepatic, coagulation, and cardiac biomarkers in patients with prediabetes and diabetes mellitus hospitalized for COVID-19 in Austria. METHODS: This was an analysis of a multicenter cohort study of 747 patients with diabetes mellitus or prediabetes hospitalized for COVID-19 in 11 hospitals in Austria. The primary outcome of this study was in-hospital mortality. The predictor variables included demographic characteristics, clinical parameters, comorbidities, use of medication, disease severity, and laboratory measurements of biomarkers. The association between biomarkers and in-hospital mortality was assessed using simple and multiple logistic regression analyses. The predictive performance of biomarkers was assessed using discrimination and calibration. RESULTS: In our analysis, 70.8% had type 2 diabetes mellitus, 5.8% had type 1 diabetes mellitus, 14.9% had prediabetes, and 8.6% had other types of diabetes mellitus. The mean age was 70.3 ± 13.3 years, and 69.3% of patients were men. A total of 19.0% of patients died in the hospital. In multiple logistic regression analysis, LDH, CRP, IL-6, PCT, AST-ALT ratio, NT-proBNP, and Troponin T were significantly associated with in-hospital mortality. The discrimination of NT-proBNP was 74%, and that of Troponin T was 81%. The calibration of NT-proBNP was adequate (p = 0.302), while it was inadequate for Troponin T (p = 0.010). CONCLUSION: Troponin T showed excellent predictive performance, while NT-proBNP showed good predictive performance for assessing in-hospital mortality in patients with diabetes mellitus hospitalized with COVID-19. Therefore, these cardiac biomarkers may be used for prognostication of COVID-19 patients.

COVID-19 In-Hospital Mortality in People with Diabetes Is Driven by Comorbidities and Age-Propensity Score-Matched Analysis of Austrian National Public Health Institute Data.

BACKGROUND: It is a matter of debate whether diabetes alone or its associated comorbidities are responsible for severe COVID-19 outcomes. This study assessed the impact of diabetes on intensive care unit (ICU) admission and in-hospital mortality in hospitalized COVID-19 patients. METHODS: A retrospective analysis was performed on a countrywide cohort of 40,632 COVID-19 patients hospitalized between March 2020 and March 2021. Data were provided by the Austrian data platform. The association of diabetes with outcomes was assessed using unmatched and propensity-score matched (PSM) logistic regression. RESULTS: 12.2% of patients had diabetes, 14.5% were admitted to the ICU, and 16.2% died in the hospital. Unmatched logistic regression analysis showed a significant association of diabetes (odds ratio [OR]: 1.24, 95% confidence interval [CI]: 1.15-1.34, p < 0.001) with in-hospital mortality, whereas PSM analysis showed no significant association of diabetes with in-hospital mortality (OR: 1.08, 95%CI: 0.97-1.19, p = 0.146). Diabetes was associated with higher odds of ICU admissions in both unmatched (OR: 1.36, 95%CI: 1.25-1.47, p < 0.001) and PSM analysis (OR: 1.15, 95%CI: 1.04-1.28, p = 0.009). CONCLUSIONS: People with diabetes were more likely to be admitted to ICU compared to those without diabetes. However, advanced age and comorbidities rather than diabetes itself were associated with increased in-hospital mortality in COVID-19 patients.

Covid-19: Involvement of the nervous system. Identifying neurological predictors defining the course of the disease.

The main objective of this study was to analyse neurological symptoms during a Covid-19 infection and determine the pattern of symptoms by comparing outpatients with inpatients. A further goal was to identify possible predictors, such as pre-existing conditions and neurological symptoms. We recorded the clinical data of 40 inpatients and 42 outpatients in this retrospective, cross sectional study. Of them, 68 patients (83%), evenly distributed between the two groups, suffered from neurological symptoms. We identified the onset of neurological symptoms and the related time ranges in 41 patients (36 outpatients and 5 inpatients). Of these, 63.4% reported neurological symptoms on the first or second day of illness. 49 patients (72%) showed combinations of at least two to a maximum of seven different neurological symptoms. A more severe course of disease was correlated with age and male sex, but age was not identified as a predictor for the occurrence of neurological symptoms. Women suffered from central and neuromuscular symptoms more often than men (p = 0,004). The most common symptoms were fatigue (54%), headache (31%), loss of taste (31%), and loss of smell (27%). Pre-existing dementia was associated with increased lethality; similarly, pre-existing stroke was associated with a more severe course of Covid-19 infection. Hallucinations and confusion were related to an increased likelihood of death. The present data demonstrate the importance of comprehensive neurological support of inpatients and outpatients affected by Covid-19.

Assessing the health-related quality of life in type 2 diabetes patients treated with insulin and oral antidiabetic agents.

BACKGROUND: Assessing the quality of life (QOL) for patients with type 2 diabetes is an essential part of diabetes management, especially for the evaluation of new antidiabetic treatments and glucose monitoring technologies. Accordingly, the aim of this study was to assess QOL according to treatment types. METHODS: This cross-sectional study included 170 patients with type 2 diabetes from the region of Melk in Lower Austria. Of the patients 61 used only oral antidiabetic agents (OAD) and 109 patients were treated with insulin (with or without OAD). The QOL was assessed in patients using sodium-glucose cotransporter 2 inhibitors (SGLT2 inhibitors). Among the 170 patients with type 2 diabetes 95 used SGLT2 inhibitors. The World Health Organization Quality of Life BREF (WHOQOL-BREF) assessment was used to assess QOL among these patients. The Mann-Whitney U-test was utilized in this study and a P value <0.05 was considered statistically significant. RESULTS: Regarding the 170 participants, most were male (58.82%) and the mean glycated hemoglobin (HbA1c) level was 55.46 ± 12.30 mmol/mol (7.2%). The WHOQOL-BREF scores among type 2 diabetes patients were relatively high, which reflect a good QOL and the mean physical, psychological, social and environmental domain scores were 64.53 ± 20.15, 71.29 ± 18.08, 70.10 ± 20.08, and 84.419 ± 11.22 SD, respectively. There were no statistically significant differences in WHOQOL scores of the domains between the insulin-treated group and OAD group and between the group treated with SGLT2 inhibitors and the group not treated with SGLT2 inhibitors. CONCLUSION: This study showed no QOL distinctions between treatment groups in patients with type 2 diabetes; however, a large cohort study is needed to examine these groups further.

COVID-19 fatality prediction in people with diabetes and prediabetes using a simple score upon hospital admission.

AIM: To assess predictors of in-hospital mortality in people with prediabetes and diabetes hospitalized for COVID-19 infection and to develop a risk score for identifying those at the greatest risk of a fatal outcome. MATERIALS AND METHODS: A combined prospective and retrospective, multicentre, cohort study was conducted at 10 sites in Austria in 247 people with diabetes or newly diagnosed prediabetes who were hospitalized with COVID-19. The primary outcome was in-hospital mortality and the predictor variables upon admission included clinical data, co-morbidities of diabetes or laboratory data. Logistic regression analyses were performed to identify significant predictors and to develop a risk score for in-hospital mortality. RESULTS: The mean age of people hospitalized (n = 238) for COVID-19 was 71.1 ± 12.9 years, 63.6% were males, 75.6% had type 2 diabetes, 4.6% had type 1 diabetes and 19.8% had prediabetes. The mean duration of hospital stay was 18 ± 16 days, 23.9% required ventilation therapy and 24.4% died in the hospital. The mortality rate in people with diabetes was numerically higher (26.7%) compared with those with prediabetes (14.9%) but without statistical significance (P = .128). A score including age, arterial occlusive disease, C-reactive protein, estimated glomerular filtration rate and aspartate aminotransferase levels at admission predicted in-hospital mortality with a C-statistic of 0.889 (95% CI: 0.837-0.941) and calibration of 1.000 (P = .909). CONCLUSIONS: The in-hospital mortality for COVID-19 was high in people with diabetes but not significantly different to the risk in people with prediabetes. A risk score using five routinely available patient variables showed excellent predictive performance for assessing in-hospital mortality.

Assessing the quality of life among patients with diabetes in Austria and the correlation between glycemic control and the quality of life.

BACKGROUND: Quality of life is becoming an important health outcome and among the main goals of every healthcare intervention. This study aims to assess the reliability of the German version of the World Health Organization Quality of Life-BREF instrument (WHOQOL-BREF) among Austrian patients with diabetes and examine the correlation to glycated hemoglobin (HbA1c). METHODS: This was a cross-section study that involved 223 patients with diabetes who attended the diabetes center at Melk Hospital in Austria. The German version of the WHOQOL-BREF questionnaire was used to assess their quality of life from 2018 to 2019. The response to each question was scored from 1 to 5 (ranged from strongly disagree to strongly agree) on the Likert scale. The reliability of the WHOQOL-BREF instrument was assessed using the Cronbach's α, and the Spearman correlation coefficient was used to examine the correlation between the quality of life and the HbA1c. RESULTS: There were 208 valid WHOQOL-BREF questionnaires with a response rate of 93.7%. The overall observed Cronbach's α for WHOQOL-BREF was 0.86. The mean±standard deviation (SD) for the physical domain, psychological domain, social domain, and environmental domain were 61.9±19.1, 71.5±17.8, 71.0±19.6, and 81.3±11.1, respectively. There was a moderate but statistically significant negative correlation between HbA1c and the physical health domain (rs=-0.31, p<0001). There was also a weak correlation between the HbA1c and other domains: psychological (rs=-0.23, p<001), social relationships (rs=-0.15, p<005) and environmental (rs=-0.23, p<001). CONCLUSION: This study showed that the German form of the WHOQOL-BREF is a valid instrument to evaluate the quality of life among Austrian patients with diabetes. There was a moderate to weak negative association between WHOQOL-BREF and HbA1c.

[Insulin therapy of type 2 diabetes mellitus (Update 2019)]. / Insulintherapie bei Typ 2 Diabetes mellitus (Update 2019).

The present article is a recommendation of the Austrian Diabetes Association for the practical use of insulin in type 2 diabetes, including the various insulin regimens.

[Antihyperglycemic treatment guidelines for diabetes mellitus type 2 (Update 2019)]. / Antihyperglykämische Therapie bei Diabetes mellitus Typ 2 (Update 2019).

Hyperglycemia significantly contributes to complications in patients with diabetes mellitus. While lifestyle interventions remain cornerstones of disease prevention and treatment, most patients with type 2 diabetes will eventually require pharmacotherapy for glycemic control. The definition of individual targets regarding optimal therapeutic efficacy and safety as well as cardiovascular effects is of great importance. In this guideline we present the most current evidence-based best clinical practice data for healthcare professionals.

[Diabetes mellitus, coronary artery disease und heart disease (Update 2019)]. / Diabetes mellitus, koronare Herzkrankheit und Herzinsuffizienz (Update 2019).

Diabetes mellitus, cardiovascular disease and heart failure are interacting dynamically. Patients being diagnosed with cardiovascular disease should be screened for diabetes mellitus. Enhanced cardiovascular risk stratification based on biomarkers, symptoms and classical risk factors should be performed in patients with pre-existing diabetes mellitus. In patients with previously diagnosed arterosclerotic cardiovascular disease an agent proven to reduce major adverse cardiovascular events or cardiovascular mortality is recommended after therapy failure of metformin.

[Lipids-Diagnosis and therapy in diabetes mellitus (Update 2019)]. / Lipide: Diagnostik und Therapie bei Diabetes mellitus (Update 2019).

Hyper- and dyslipidemia contribute to cardiovascular morbidity and mortality in diabetic patients. Pharmacological therapy to lower LDL cholesterol has convincingly shown to reduce cardiovascular risk in diabetic patients. The present article represents the recommendations of the Austrian Diabetes Association for the use of lipid-lowering drugs in diabetic patients according to current scientific evidence.

[Geriatric aspects for the management of diabetes mellitus (Update 2019)]. / Geriatrische Aspekte bei Diabetes mellitus (Update 2019).

There is a high prevalence of diabetes mellitus in the elderly population of industrial countries. The present article provides recommendations for the screening, prevention and treatment of elderly diabetic patients according to current scientific evidence.

Risk factors for decline in renal function among young adults with type 1 diabetes.

AIMS: To investigate risk factors for declining renal function among subjects with type-1-diabetes. METHODS: Observational study based on data from the diabetes registry DPV. 4424 type-1-diabetes subjects aged ≥18 years, age at onset <18 years were identified. Modification of Diet in Renal Disease (MDRD) equation was used to estimate glomerular filtration rate (eGFR). Annual rate of renal decline was estimated for each patient using hierarchic linear regression models. Additional regression models were fitted to adjust for covariates. RESULTS: Median age was 26 [Q1; Q3: 21; 39] years. Annual decline of renal function was -1.22 (95% CI: -1.50; -0.94) ml/min/1.73 m2. At baseline, higher eGFR was related to more rapid decline compared to impaired or reduced eGFR (GFR ≥ 90: -2.06 (-2.35; -1.76), 60 ≤ GFR < 90: 0.45 (0.08; 0.81), GFR < 60: 0.52 (-0.24; 1.29) ml/min/1.73 m2, p < 0.01). During follow-up, the highest decline was associated with reduced renal function, whereas the lowest decline was related to normal kidney function (p < 0.01). Poor metabolic control (p = 0.04), hypertension (p < 0.01) and albuminuria (p = 0.03) were associated with more rapid loss of kidney function. No difference was observed among insulin regimen. CONCLUSION: Among this large type-1-diabetes cohort, more rapid loss of kidney function was related to higher baseline eGFR, log-term worse metabolic control and diabetic comorbidities.

Elevated Fetuin-A concentrations in morbid obesity decrease after dramatic weight loss.

CONTEXT: Morbid obesity (MO) is a risk factor for cardiovascular morbidity, mortality, and diabetes, which can be effectively reduced by bariatric surgery. The liver-secreted protein Fetuin-A is elevated in insulin resistance, is an independent predictor of type 2 diabetes and is associated with atherosclerosis. OBJECTIVE: We studied Fetuin-A concentrations in patients with MO before and after weight loss induced by gastric bypass. DESIGN: We conducted a cross-sectional study and a 16-month longitudinal study. SETTING: This study was performed in secondary care. PATIENTS, SUBJECTS, AND INTERVENTION: We included 75 MO patients [65 women, body mass index (BMI) 45.6 ± 8.1 kg/m(2)] and 38 healthy controls (21 women, BMI 26.0 ± 5.5 kg/m(2)) in a cross-sectional study and investigated them before and about 16 months after gastric bypass surgery. MAIN OUTCOME MEASURES: Apart from measurements of blood pressure and routine laboratory parameters, a 75-g oral glucose tolerance test was performed. Insulin resistance was calculated by using homeostatic model assessment (HOMA). RESULTS: Fetuin-A levels were significantly higher in MO (877 ± 318 µg/ml) than in controls (295 ± 61 µg/ml; P < 0.001). After surgery-induced weight loss (BMI 31.6 ± 6.8 vs. 45.6 ± 8.1 kg/m(2); P < 0.001), HOMA (2.0 ± 1.2 vs. 6.6 ± 6.3; P < 0.001) and Fetuin-A (710 ± 350 vs. 877 ± 318 µg/ml; P < 0.001) decreased. Delta (Δ) Fetuin-A concentrations correlated with Δfasting insulin (r = 0.710; P = 0.001), Δ2-h insulin (r = 0.693; P = 0.005), and HOMA-insulin resistance (r = 0.684; P = 0.001). CONCLUSIONS: Fetuin-A is markedly increased in patients with MO. The reduction of Fetuin-A after weight loss could play an important role in the beneficial effects of gastric bypass surgery.

Hepatic autoregulation: response of glucose production and gluconeogenesis to increased glycogenolysis.

The effect of increased glycogenolysis, simulated by galactose's conversion to glucose, on the contribution of gluconeogenesis (GNG) to hepatic glucose production (GP) was determined. The conversion of galactose to glucose is by the same pathway as glycogen's conversion to glucose, i.e., glucose 1-phosphate --> glucose 6-phosphate --> glucose. Healthy men (n = 7) were fasted for 44 h. At 40 h, hepatic glycogen stores were depleted. GNG then contributed approximately 90% to a GP of approximately 8 micromol.kg(-1).min(-1). Galactose, 9 g/h, was infused over the next 4 h. The contribution of GNG to GP declined from approximately 90% to 65%, i.e., by approximately 2 micromol.kg(-1).min(-1). The rate of galactose conversion to blood glucose, measured by labeling the infused galactose with [1-(2)H]galactose (n = 4), was also approximately 2 micromol.kg(-1).min(-1). The 41st h GP rose by approximately 1.5 micromol.kg(-1).min(-1) and then returned to approximately 9 micromol.kg(-1).min(-1), while plasma glucose concentration increased from approximately 4.5 to 5.3 mM, accompanied by a rise in plasma insulin concentration. Over 50% of the galactose infused was accounted for in blood glucose and hepatic glycogen formation. Thus an increase in the rate of GP via the glycogenolytic pathway resulted in a concomitant decrease in the rate of GP via GNG. While the compensatory response to the galactose administration was not complete, since GP increased, hepatic autoregulation is operative in healthy humans during prolonged fasting.