Healthcare professionals' competencies and confidence in managing hospitalized patients with type 2 diabetes.

AIMS: In hospitals, 15%-20% of patients have diabetes. Therefore, all healthcare professionals (HCPs) must have a basic knowledge of in-hospital diabetes management. This survey assessed the knowledge of diabetes among HCPs in Denmark. METHODS: A 27-item questionnaire was developed and reviewed independently before the survey was distributed. The questionnaire contained seven baseline questions on the HCPs' current workplace, educational level, usual shift routines and years of experience, 18 multiple-choice questions and 2 cases. RESULTS: A total of 252 completed questionnaires were returned by 133 (52.8%) physicians, 101 (40.1%) nurses and 18 (7.1%) healthcare assistants. HCPs answered 50% of the questions correctly. Having experience from endocrinological departments increased the correct response score (0%-100%) by 6.2% points (95% CI 0.3-12.1) (p = 0.039) and 3.1% points (95% CI 1.5-4.7) for every increase in confidence level on a scale from 1 to 10 (p < 0.001). HCPs scored 8 out of 10 on a confidence level scale on average. In a fictive case, 50% of HCPs administered the correct bolus insulin dose. Hyperglycaemia (>10.0 mmol/L) and hypoglycaemia (<3.9 mmol/L) were correctly identified by around 40% of HCPs. Hypoglycaemia was rated more important than hyperglycaemia by most HCPs. CONCLUSION: Significant gaps in identifying hypo- and hyperglycaemia and correct administration of bolus insulin have been identified, which could be targeted in future education for HCPs. HCPs answered 50% of questions related to in-hospital diabetes management correctly. Experience from endocrinological departments and self-rated confidence levels are associated with HCPs' in-hospital diabetes competencies.

The effect of Mycobacterium tuberculosis treatment on thrombelastography-assessed haemostasis: a prospective cohort study.

BACKGROUND AND OBJECTIVE: Tuberculosis disease (TB) and tuberculosis infection (TBI) have been associated with increased risk of cardiovascular disease which may be connected to infection-related haemostatic changes. It is unknown if treatment of Mycobacterium tuberculosis influences haemostasis. Here, we assessed if TB or TBI treatment affects thrombelastography (TEG)-assessed haemostasis. METHODS: Individuals with TB or TBI were included from a TB outpatient clinic in Copenhagen, Denmark. Patients treated with antithrombotic medication or systemic immunosuppressants were excluded. TEG analysis was performed before and after TB/TBI treatment using the TEG®6s analyser to provide data on the reaction time of clot initiation (R) (min), the speed of clot formation (K) (min) and clot build-up (Angle) (°), maximum clot strength (MA) (mm), and clot breakdown/fibrinolysis (LY30) (%). Differences in TEG were assessed using paired t tests. RESULTS: We included eleven individuals with TB with median [interquartile range] [IQR] age 52 (Liu et al. in Medicine (United States) 95, 2016) years and mean (standard deviation) (SD) body mass index (BMI) 24.7 (6.3) kg/m2 as well as 15 individuals with TBI with median [IQR] age 49 (Wells et al. in Am J Respir Crit Care Med 204:583, 2021) years and BMI 26.0 (3.2) kg/m2. Treatment reduced MA for both TB (64.0 (6.3) vs. 57.9 (5.2) mm, p = 0.016) and TBI (61.3 (4.1) vs. 58.6 (5.0) mm, p = 0.023) whereas R, K, Angle and LY30 were unaffected. CONCLUSION: TEG analysis showed that treatments of TB and TBI were associated with reduced MA which may indicate the existence of cardiovascular benefits from therapy. TRIAL REGISTRATION: Registered at ClinicalTrials.gov 05 April 2021 with registration number NCT04830462.

Summary of clinical investigation plan for The DIATEC trial: in-hospital diabetes management by a diabetes team and continuous glucose monitoring or point of care glucose testing - a randomised controlled trial.

BACKGROUND: Worldwide, up to 20 % of hospitalised patients have diabetes mellitus. In-hospital dysglycaemia increases patient mortality, morbidity, and length of hospital stay. Improved in-hospital diabetes management strategies are needed. The DIATEC trial investigates the effects of an in-hospital diabetes team and operational insulin titration algorithms based on either continuous glucose monitoring (CGM) data or standard point-of-care (POC) glucose testing. METHODS: This is a two-armed, two-site, prospective randomised open-label blinded endpoint (PROBE) trial. We recruit non-critically ill hospitalised general medical and orthopaedic patients with type 2 diabetes treated with basal, prandial, and correctional insulin (N = 166). In both arms, patients are monitored by POC glucose testing and diabetes management is done by ward nurses guided by in-hospital diabetes teams. In one of the arms, patients are monitored in addition to POC glucose testing by telemetric CGM viewed by the in-hospital diabetes teams only. The in-hospital diabetes teams have operational algorithms to titrate insulin in both arms. Outcomes are in-hospital glycaemic and clinical outcomes. DISCUSSION: The DIATEC trial will show the glycaemic and clinical effects of in-hospital CGM handled by in-hospital diabetes teams with access to operational insulin titration algorithms in non-critically ill patients with type 2 diabetes. The DIATEC trial seeks to identify which hospitalised patients will benefit from CGM and in-hospital diabetes teams compared to POC glucose testing. This is essential information to optimise the use of healthcare resources before broadly implementing in-hospital CGM and diabetes teams. TRIAL REGISTRATION: Prospectively registered at ClinicalTrials.gov with identification number NCT05803473 on March 27th 2023.

Effects of DPP-4 inhibitors, GLP-1 receptor agonists, SGLT-2 inhibitors and sulphonylureas on mortality, cardiovascular and renal outcomes in type 2 diabetes: A network meta-analyses-driven approach.

AIMS: The aim of our meta-analyses was to compare the effects of glucose-lowering drugs on mortality, cardiovascular and renal endpoints for a range of type 2 diabetes (T2D) subgroups defined by their specific cardiovascular risk profile. METHODS: Meta-analyses comparing drugs within the classes of GLP-1RAs and SGLT-2 inhibitors were performed and compared to sulphonylureas and DPP-4 inhibitors with available cardiovascular outcome trials. The comparison between the different classes of glucose-lowering drugs included analyses of T2D populations with low risk and high risk for cardiovascular disease including populations with established cardiovascular disease and/or kidney disease. Outcomes included mortality, major cardiovascular adverse events (MACE), hospitalisation for heart failure (HHF) and a composite renal endpoint as applied in the underlying clinical trials. RESULTS: SGLT-2 inhibitors and GLP-1RAs showed beneficial effects on mortality and MACE compared to the classes of DPP-4 inhibitors and sulphonylureas. SGLT-2 inhibitors were shown to be the most effective treatment in terms of HHF and kidney disease. Metformin was used as background therapy for the vast majority of participants in all included studies. Overall, the absolute effects of SGLT-2 inhibitors and GLP-1RAs on these important outcomes were evident for patients with established or at high risk for cardiovascular disease but limited for the low-risk subgroup. CONCLUSIONS: The findings from our analyses substantiate the relevance of treatment with SGLT-2 inhibitors or GLP-1RAs as an add-on to metformin in patients with T2D and a high risk for cardiovascular disease, and furthermore, support the recommendation for SGLT-2 inhibitor treatment in patients with T2D and heart failure or established kidney disease.

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.

Effect of an Intensive Lifestyle Intervention on Glycemic Control in Patients With Type 2 Diabetes: A Randomized Clinical Trial.

Importance: It is unclear whether a lifestyle intervention can maintain glycemic control in patients with type 2 diabetes. Objective: To test whether an intensive lifestyle intervention results in equivalent glycemic control compared with standard care and, secondarily, leads to a reduction in glucose-lowering medication in participants with type 2 diabetes. Design, Setting, and Participants: Randomized, assessor-blinded, single-center study within Region Zealand and the Capital Region of Denmark (April 2015-August 2016). Ninety-eight adult participants with non-insulin-dependent type 2 diabetes who were diagnosed for less than 10 years were included. Participants were randomly assigned (2:1; stratified by sex) to the lifestyle group (n = 64) or the standard care group (n = 34). Interventions: All participants received standard care with individual counseling and standardized, blinded, target-driven medical therapy. Additionally, the lifestyle intervention included 5 to 6 weekly aerobic training sessions (duration 30-60 minutes), of which 2 to 3 sessions were combined with resistance training. The lifestyle participants received dietary plans aiming for a body mass index of 25 or less. Participants were followed up for 12 months. Main Outcomes and Measures: Primary outcome was change in hemoglobin A1c (HbA1c) from baseline to 12-month follow-up, and equivalence was prespecified by a CI margin of ±0.4% based on the intention-to-treat population. Superiority analysis was performed on the secondary outcome reductions in glucose-lowering medication. Results: Among 98 randomized participants (mean age, 54.6 years [SD, 8.9]; women, 47 [48%]; mean baseline HbA1c, 6.7%), 93 participants completed the trial. From baseline to 12-month follow-up, the mean HbA1c level changed from 6.65% to 6.34% in the lifestyle group and from 6.74% to 6.66% in the standard care group (mean between-group difference in change of -0.26% [95% CI, -0.52% to -0.01%]), not meeting the criteria for equivalence (P = .15). Reduction in glucose-lowering medications occurred in 47 participants (73.5%) in the lifestyle group and 9 participants (26.4%) in the standard care group (difference, 47.1 percentage points [95% CI, 28.6-65.3]). There were 32 adverse events (most commonly musculoskeletal pain or discomfort and mild hypoglycemia) in the lifestyle group and 5 in the standard care group. Conclusions and Relevance: Among adults with type 2 diabetes diagnosed for less than 10 years, a lifestyle intervention compared with standard care resulted in a change in glycemic control that did not reach the criterion for equivalence, but was in a direction consistent with benefit. Further research is needed to assess superiority, as well as generalizability and durability of findings. Trial Registration: clinicaltrials.gov Identifier: NCT02417012.

Risk factors at admission of in-hospital dysglycemia, mortality, and readmissions in patients with type 2 diabetes and pneumonia.

AIMS: In-hospital dysglycemia is associated with adverse outcomes. Identifying patients at risk of in-hospital dysglycemia early on admission may improve patient outcomes. METHODS: We analysed 117 inpatients admitted with pneumonia and type 2 diabetes monitored by continuous glucose monitoring. We assessed potential risk factors for in-hospital dysglycemia and adverse clinical outcomes. RESULTS: Time in range (3.9-10.0 mmol/l) decreased by 2.9 %-points [95 % CI 0.7-5.0] per 5 mmol/mol [2.6 %] increase in admission haemoglobin A1c, 16.2 %-points if admission diabetes therapy included insulin therapy [95 % CI 2.9-29.5], and 2.4 %-points [95 % CI 0.3-4.6] per increase in the Charlson Comorbidity Index (CCI) (integer, as a measure of severity and amount of comorbidities). Thirty-day readmission rate increased with an IRR of 1.24 [95 % CI 1.06-1.45] per increase in CCI. In-hospital mortality risk increased with an OR of 1.41 [95 % CI 1.07-1.87] per increase in Early Warning Score (EWS) (integer, as a measure of acute illness) at admission. CONCLUSIONS: Dysglycemia among hospitalised patients with pneumonia and type 2 diabetes was associated with high haemoglobin A1c, insulin treatment before admission, and the amount and severity of comorbidities (i.e., CCI). Thirty-day readmission rate increased with high CCI. The risk of in-hospital mortality increased with the degree of acute illness (i.e., high EWS) at admission. Clinical outcomes were independent of chronic glycemic status, i.e. HbA1c, and in-hospital glycemic status.

Statistical Packages and Algorithms for the Analysis of Continuous Glucose Monitoring Data: A Systematic Review.

BACKGROUND: Continuous glucose monitoring (CGM) measures glucose levels every 1 to 15 minutes and is widely used in clinical and research contexts. Statistical packages and algorithms reduce the time-consuming and error-prone process of manually calculating CGM metrics and contribute to standardizing CGM metrics defined by international consensus. The aim of this systematic review is to summarize existing data on (1) statistical packages for retrospective CGM data analysis and (2) statistical algorithms for retrospective CGM analysis not available in these statistical packages. METHODS: A systematic literature search in PubMed and EMBASE was conducted on September 19, 2023. We also searched Google Scholar and Google Search until October 12, 2023 as sources of gray literature and performed reference checks of the included literature. Articles in English and Danish were included. This systematic review is registered with PROSPERO (CRD42022378163). RESULTS: A total of 8731 references were screened and 46 references were included. We identified 23 statistical packages for the analysis of CGM data. The statistical packages could calculate many metrics of the 2022 CGM consensus and non-consensus CGM metrics, and 22/23 (96%) statistical packages were freely available. Also, 23 statistical algorithms were identified. The statistical algorithms could be divided into three groups based on content: (1) CGM data reduction (eg, clustering of CGM data), (2) composite CGM outcomes, and (3) other CGM metrics. CONCLUSION: This systematic review provides detailed tabular and textual up-to-date descriptions of the contents of statistical packages and statistical algorithms for retrospective analysis of CGM data.

Management of diabetes and hyperglycaemia in non-intensive care units.

Diabetes and hyperglycaemia are frequent diagnoses in the hospital, and in-hospital hyperglycaemia is associated with adverse clinical outcomes. Insulin is the preferred treatment for in-hospital hyperglycaemia. This review summarises the management of hyperglycaemia in Danish hospitals. In Denmark, sliding-scale insulin is often applied with the addition of basal insulin after 1-2 days with hyperglycaemia which differs from international guidelines recommending a basal-bolus regimen. The optimal non-intensive care unit glucose targets, the safety and efficacy level of non-insulin antidiabetic agents, and continuous glucose monitoring are subjects of further research.

In-hospital management of type 2 diabetes in Denmark is inconsistent with international guidelines.

INTRODUCTION: Insulin is the preferred treatment for hyperglycaemia in hospitalised patients with type 2 diabetes mellitus (T2DM). However, which insulin regimen to prefer is debated. We described Danish regional guidelines on the management of non-critically ill hospitalised patients with T2DM and compared them with international guidelines. METHODS: The Danish regional guidelines have been obtained via Danish regional web portals and by request to the regions. The guidelines were reviewed independently by the authors of this article to ensure uniformity in the interpretation of their contents. RESULTS: The recommended treatment of in-hospital hyperglycaemia is sliding scale insulin (SSI) in all five Danish regions. Insulin dosing by SSI is adjusted to bodyweight in two of the five regions. The recommended number of daily glucose point-of-care tests ranges from 4-8 to reach glucose levels of 5-10 mmol/l (90-180 mg/dl). In all regions, continuation of out-hospital insulin and non-insulin antidiabetic drugs is recommended; however, the latter is paused on wide indications. CONCLUSIONS: In-hospital hyperglycaemia for non-critically ill hospitalised patients with T2DM is treated by SSI, based on short-acting insulin, in all five Danish regions. International guidelines recommend a basal-bolus or basal-plus regimen based on both short- and long-acting insulin for most hospitalised non-critically ill patients with diabetes and discourage SSI. Danish regions should consider replacing SSI with a basal-bolus or basal-plus regimen. FUNDING: none. TRIAL REGISTRATION: not relevant.

Effects of a Lifestyle Intervention on Bone Turnover in Persons with Type 2 Diabetes: A Post Hoc Analysis of the U-TURN Trial.

INTRODUCTION/PURPOSE: The increased risk of fractures with type 2 diabetes (T2D) is suggested to be caused by decreased bone turnover. Current international guidelines recommend lifestyle modifications, including exercise, as first-line treatment for T2D. The aim of this study was to investigate the effects of an exercise-based lifestyle intervention on bone turnover and bone mineral density (BMD) in persons with T2D. METHODS: Persons with T2D were randomized to either a 12-month lifestyle intervention (n = 64) or standard care (n = 34). The lifestyle intervention included five to six weekly aerobic training sessions, half of them combined with resistance training. Serum markers of bone turnover (osteocalcin, N-terminal propeptide of type-I procollagen, reflecting bone formation, and carboxyterminal collagen I crosslinks, reflecting bone resorption) and BMD (by DXA) were measured before the intervention and at follow-up. RESULTS: From baseline to follow-up, s-propeptide of type-I procollagen increased by 34% (95% confidence interval [CI], 17%-50%), serum-carboxyterminal collagen I crosslink by 36% (95% CI, 1%-71%), and s-osteocalcin by 31% (95% CI, 11-51%) more in the lifestyle intervention group compared with standard care. Loss of weight and fat mass were the strongest mediators of the increased bone turnover. Bone mineral density was unaffected by the intervention (ΔBMD, 0.1%; 95% CI, -1.1% to 1.2%). CONCLUSIONS: A 12-month intensive exercise-based lifestyle intervention led to a substantial but balanced increase in bone turnover in persons with T2D. The increased bone turnover combined with a preserved BMD, despite a considerable weight loss, is likely to reflect improved bone health and warrants further studies addressing the impact of exercise on risk of fractures in persons with T2D.

The Effect of Metformin on Self-Selected Exercise Intensity in Healthy, Lean Males: A Randomized, Crossover, Counterbalanced Trial.

Introduction: In general, patients with type 2 diabetes have lower cardiorespiratory fitness levels and perform exercise at lower intensities compared to healthy controls. Since metformin (MET) has been shown to increase the rate of perceived exertion (RPE) during exercise with a fixed intensity, MET per se may reduce self-selected exercise intensity. The aim of this study was to assess the effect of MET on self-selected exercise intensity. Methods: Healthy males were eligible for this crossover, counterbalanced study with two treatment periods: MET and placebo (PLA), each lasting 17 days. Treatment dose was gradually increased and reached 2 g/day on treatment day 9, and continued at that level for the rest of the treatment period. The two periods were performed in randomized order. Two experimental days (A+B) were conducted on Day 15 (A) and Day 17 (B) of each period, respectively. Day A consisted of an exercise bout with self-selected exercise intensity (equal to RPE = 14-15 on the Borg Scale). Day B consisted of an exercise bout with fixed intensity (70% of VO2peak). Oxygen consumption rate was assessed continuously during both exercise bouts. Results: Fifteen males (age 23.7 ± 0.6 years, BMI 22.3 ± 2.0, VO2peak 3.5 ± 0.6 L/min) were included in the study. On Day B, RPE was higher in MET compared to PLA (14.8 ± 0.4 vs. 14.0 ± 0.3, P = 0.045). On Day A, no difference in self-selected exercise intensity measured by oxygen consumption rate (PLA 2.33 ± 0.09 L O2/min, MET 2.42 ± 0.10 L O2/min, P = 0.09) was seen between treatment periods. Conclusions: Self-selected exercise intensity was not reduced by MET in healthy males, despite the fact that MET increased RPE during an exercise bout with fixed intensity.

Quality of diabetes treatment in four orthopaedic departments in the Capital Region of Denmark.

INTRODUCTION: Hyperglycaemia during hospitalisation is associated with a longer and more complicated admission and with increased mortality. Therefore, guidelines suggest that blood glucose should be less than 10 mmol/l. In this audit, we aimed to describe the prevalence of diabetes patients at four orthopaedic departments in the Capital Region of Denmark and to measure the quality of in-hospital diabetes management. METHODS: We conducted audits of medical records in the electronic health record system for two months in 2019. All patients admitted were included in the audit. We gathered information on diabetes status, orthopaedic diagnosis, glycosylated haemoglobin and diabetes management. RESULTS: Among 2,463 included patients, 10% had diabetes. The three most frequent diagnosis groups were infection, fracture of lower extremity and hospitalised for alloplastic surgery. The number of blood glucose measurements during 24-hour perioperative care was 6.5. Among patients analysed, 10-20% did not have their blood glucose measured in the days following surgery. Among patients, 64% received insulin 1-50% of the required times. CONCLUSION: We demonstrated that 10% of hospitalised patients suffer from diabetes. The audit also showed that blood glucose is generally measured according to guidelines, whereas the treatment of an elevated blood glucose is far from being given according to guidelines. This may potentially delay recovery and prolong hospitalisation. FUNDING: none. TRIAL REGISTRATION: not relevant.

Comparing olive oil and C4-dietary oil, a prodrug for the GPR119 agonist, 2-oleoyl glycerol, less energy intake of the latter is needed to stimulate incretin hormone secretion in overweight subjects with type 2 diabetes.

BACKGROUND/OBJECTIVE: After digestion, dietary triacylglycerol stimulates incretin release in humans, mainly through generation of 2-monoacylglycerol, an agonist for the intestinal G protein-coupled receptor 119 (GPR119). Enhanced incretin release may have beneficial metabolic effects. However, dietary fat may promote weight gain and should therefore be restricted in obesity. We designed C4-dietary oil (1,3-di-butyryl-2-oleoyl glycerol) as a 2-oleoyl glycerol (2-OG)-generating fat type, which would stimulate incretin release to the same extent while providing less calories than equimolar amounts of common triglycerides, e.g., olive oil. SUBJECTS AND METHODS: We studied the effect over 180 min of (a) 19 g olive oil plus 200 g carrot, (b) 10.7 g C4 dietary oil plus 200 g carrot and (c) 200 g carrot, respectively, on plasma responses of gut and pancreatic hormones in 13 overweight patients with type 2 diabetes (T2D). Theoretically, both oil meals result in formation of 7.7 g 2-OG during digestion. RESULTS: Both olive oil and C4-dietary oil resulted in greater postprandial (P ≤ 0.01) glucagon-like peptide 1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP) responses (incremental area under curve (iAUC)): iAUCGLP-1: 645 ± 194 and 702 ± 97 pM × min; iAUCGIP: 4,338 ± 764 and 2,894 ± 601 pM × min) compared to the carrot meal (iAUCGLP-1: 7 ± 103 pM × min; iAUCGIP: 266 ± 234 pM × min). iAUC for GLP-1 and GIP were similar for C4-dietary oil and olive oil, although olive oil resulted in a higher peak value for GIP than C4-dietary oil. CONCLUSION: C4-dietary oil enhanced secretion of GLP-1 and GIP to almost the same extent as olive oil, in spite of liberation of both 2-OG and oleic acid, which also may stimulate incretin secretion, from olive oil. Thus, C4-dietary oil is more effective as incretin releaser than olive oil per unit of energy and may be useful for dietary intervention.