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.

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.

Glycemic variability assessed by continuous glucose monitoring in hospitalized patients with community-acquired pneumonia.

BACKGROUND: Glycemic variability (GV) has only been sparsely studied in patients with community-acquired pneumonia (CAP). This study aimed to quantify in-hospital GV in CAP patients, including determining the impact of type 2 diabetes mellitus (T2DM) and glucocorticoid (GC) treatment on GV. METHODS: This is a prospective cohort study of CAP patients (N = 40) with or without T2DM and treated or not with GCs. The primary endpoint was GV measured as glucose standard deviation (SD), coefficient of variation (CV), and postprandial glucose excursions (PPGE) based on continuous glucose monitoring (CGM). Analysis of glucose data was split into daytime and nighttime when possible. RESULTS: Patients included had a mean age of 74 (range 55 to 91) years. SD (95%CI) increased by a factor of 1.93 (1.40 to 2.66) and 2.29 (1.38 to 3.81) in patients with T2DM and not treated with GCs during the daytime and the nighttime, respectively (both P < 0.01), and by a factor of 1.42 (1.04 to 1.97) in patients treated with GCs but without T2DM during the daytime (P = 0.031) compared to patients without T2DM and not treated with GCs. CV (95%CI) increased by 5.1 (0.0 to 10.1) and 8.1 (1.0 to 15.2) percentage points during the daytime and the nighttime, respectively, in patients with T2DM and not treated with GCs compared to patients without T2DM and not treated with GCs (P = 0.046 and P = 0.026, respectively). PPGE (95% CI) increased during lunch by 2.5 (0.7 to 4.3) mmol/L (45 (13 to 77) mg/dL) in patients with T2DM and treated with GCs compared to patients without T2DM and not treated with GCs (P = 0.018). CONCLUSIONS: CAP patients receiving GCs, especially those with T2DM, are at great risk of developing high GV and therefore require clinical attention to mitigate GV. This applies particularly during the daytime. Results support the 1 to 2-h post-lunch screening procedure for glucocorticoid-induced hyperglycemia in patients without diabetes. SD was positively correlated with hospital length of stay.

Study rationale and design of the EANITIATE study (EmpAgliflozin compared to NPH Insulin for sTeroId diAbeTEs) - a randomized, controlled, multicenter trial of safety and efficacy of treatment with empagliflozin compared with NPH-insulin in patients with newly onset diabetes following initiation of glucocorticoid treatment.

BACKGROUND: A well-known metabolic side effect from treatment with glucocorticoids is glucocorticoid-induced diabetes mellitus (GIDM). Guidelines on the management of GIDM in hospitalized patients (in the non-critical care setting), recommend initiation of insulin therapy. The scientific basis and evidence for superiority of insulin therapy over other glucose lowering therapies is however poor and associated with episodes of both hypo- and hyperglycaemia. There is an unmet need for an easier, safe and convenient therapy for glucocorticoid-induced diabetes. METHODS: EANITIATE is a Danish, open, prospective, multicenter, randomized (1:1), parallel group study in patients with new-onset diabetes following treatment with glucocorticoids (> 20 mg equivalent prednisolone dose/day) with blinded endpoint evaluation (PROBE design). Included patients are randomized to either a Sodium-Glucose-Cotransporter 2 (SGLT2) inhibitor or neutral protamin Hagedorn (NPH) insulin and followed for 30 days. Blinded continuous glucose monitoring (CGM) will provide data for the primary endpoint (mean daily blood glucose) and on glucose fluctuations in the two treatment arms. Secondary endpoints are patient related outcomes, hypoglycaemia, means and measures of variation for all values and for time specific glucose values. This is a non-inferiority study with the intent to demonstrate that treatment with empagliflozin is not inferior to treatment with NPH insulin when it comes to glycemic control and side effects. DISCUSSION: This novel approach to management of glucocorticoid-induced hyperglycemia has not been tested before and if SGLT2 inhibition with empaglifozin compared to NPH-insulin is a safe, effective and resource sparing treatment for GIDM, it has the potential to improve the situation for affected patients and have health economic benefits. TRIAL REGISTRATION: www.clinicaltrialsregister.eu no.: 2018-002640-82. Prospectively registered November 20th. 2018. Date of first patient enrolled: June 4th. 2019. This protocol article is based on the EANITATE protocol version 1.3, dated 29. January 2018.

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.

Comment: Letter to the editor regarding the article "Anti-osteoporotic treatment after hip fracture remains alarmingly low".

This is a letter to the editor on the article "Anti-osteoporotic treatment after hip fracture remains alarmingly low" Dan Med J 2022;69(10):A01220010.

Tattoo-associated sarcoidosis from a nuclear medicine perspective.

Tattoo-associated sarcoidosis is characterized by granulomas in tattoos with or without the involvement of other organ systems such as the lungs and eyes. 18F-fluorodeoxyglucose (18F-FDG PET is a nuclear medicine imaging study that can differentiate between metabolically over-active areas and normal tissue. Thus, this review finds that 18F-FDG-PET/CT imaging can be used to image inflammatory activity in tattoos and in case of papulonodular tattoo reaction be used to investigate possible systemic sarcoidosis.

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.

Telemetric Continuous Glucose Monitoring During the COVID-19 Pandemic in Isolated Hospitalized Patients in Denmark: A Randomized Controlled Exploratory Trial.

Objective: To investigate whether telemetric continuous glucose monitoring (CGM) in hospitalized and isolated patients with diabetes mellitus and coronavirus disease 2019 (COVID-19) is associated with better glycemic outcomes and fewer patient health care worker contacts compared to blood glucose monitoring by traditional point-of-care (POC) glucose testing and to investigate the user aspect of implementing a CGM-system in-hospital. Materials and Methods: A randomized controlled exploratory trial was performed on hospitalized and isolated patients with diabetes and COVID-19 from May 2020 until February 2021 at Nordsjællands Hospital, Denmark. Participants were randomized to nonblinded telemetric CGM (as the only glucose monitoring method) or traditional POC glucose testing + blinded CGM. The primary endpoint was time in range (TIR) based on CGM data in both groups. A questionnaire about the user aspect of the CGM system was answered by health care personnel (HCP). Results: We included 64 participants in the analysis, 31 in the CGM group and 33 in the POC glucose group. TIR median was 46% for the CGM group and 68% for the POC glucose group (P = 0.368). The mean glucose value for the CGM group was 11.1 and 10.8 mmol/L in the POC glucose group (P = 0.372). CGM was associated with fewer POC glucose measurements (P < 0.001). Out of 30 HCPs, 28 preferred telemetric CGM over POC glucose testing. Conclusion: Remote glucose monitoring by CGM did not improve glycemic outcomes compared to traditional POC glucose testing, but was associated with fewer patient-personnel contacts, saving time for HCPs performing diabetes-related tasks. Most HCPs preferred CGM. The study is registered at http://www.clinicaltrials.gov (#NCT04430608).

[Christmas article: The search for the (glycaemic) optimal christmas dinner].

INTRODUCTION: The Danish Christmas meal is not the healthiest and might increase blood glucose fluctuations, which can affect health negatively. Studies have shown that these large blood sugar fluctuations can be reduced by eating a meal in a particular order rather than eating it all at once. We investigated if sequential eating of a Danish Christmas meal affected post-prandial glucose fluctuations. METHODS: In a prospective randomised trial, 11 healthy subjects ate a standardised Danish Christmas meal. The subjects ate the meal three times with a wash-out day in between. On the first day, the subjects consumed the meal as they preferred. The following meals were divided into a starter (fresh red cabbage or pork roast) and the rest of the meal, and the opposite starter on the last intervention day. The glucose levels of the participants were monitored by continuous glucose monitoring (Freestyle Libre 2). We used a linear mixed model to compare the effects of the different orders of meal intake on glucose fluctuations. RESULTS: Nine of 11 participants were women with a mean age of 41.2 (range 25.0-64.0) years and mean glucose levels of 5.2 mmol/L. No differences in the postprandial glucose levels between the meals were found (all p > 0,05). CONCLUSION: We found no differences in the postprandial glucose levels in relation to the order of intake of fibers (salad) or protein (roast pork) before carbohydrates. We conclude that it is safe in terms of glycaemic control for healthy people without diabetes to eat a traditional Danish Christmas meal in any order. FUNDING: none. TRIAL REGISTRATION: not relevant.

[Christmas article: Influence of christmassy spices on blood glucose levels after intake of rice pudding meal].

Introduction The glucose-lowering effect of cinnamon is well known and has been used for this purpose since ancient times. Other christmassy spices, like ginger and cloves, have also been shown to affect blood glucose levels but are not as extensively examined. We aimed to explore the potential glucose-lowering effects of cinnamon, ginger and cloves by postprandial glucose excursions (PPGE) and maximum glucose level during rice pudding intake in healthy participants with use of continuous glucose monitoring during ingestion of the traditional Danish Christmas dish, rice pudding. Methods Participants wore an intermittently scanned continuous glucose monitor for five days in total. Day 0 was a 24h run-in stabilization period. Day 1 was used for baseline with ingestion of a standardized rice pudding meal without any spices. On days 2-4, participants had the same standardized rice pudding with one of the three Christmas spices on top. The participants ate rice pudding for breakfast (low-dose spice) and lunch (high-dose spice). A questionnaire was also developed to investigate the satisfaction level with the rice pudding and spice combinations. Results Data from 12 people were analyzed with mean age (range) of ~ 42 (25-63) years. Mean fasting glucose level (95% CI) was 4.7 (4.0-5.5) mmol/l. PPGE levels were higher for 6 g of ginger, compared to 3 g of ginger with mean difference of 1.02 mmol/l (0.12-1.92) (p = 0.030). No other differences between the different doses of spices or between spices and baseline were found regarding PPGE or the maximum glucose-level during intake of rice pudding. Most people preferred cinnamon on top of the rice pudding, however, eight out of 12 would rather risk complications from a higher blood glucose than eating Christmas spices on top of their rice pudding. Conclusion Putting christmassy spices on top of rice pudding did not have a glucose-lowering effect in this study. This was probably for the best, since we learned from the questionnaire, that the use of Christmas spices on top of rice pudding was rated worse than the risk of complications from having high blood glucose levels. Thus, implementation of Christmas spices as a preventative strategy is not recommended. Funding none. Trial registration none.

A New Medical Device for Improved Rotation of Insulin Injections in Type 1 Diabetes Mellitus: A Proof-of-Concept Study.

INTRODUCTION: Lipohypertrophy (LH) is caused by repetitively injecting insulin into the same location. This can lead to unpredictable insulin absorption and increased glucose variability (GV). A new medical device, ROTO Track, automatically guides the user to rotate abdominal insulin injections to avoid LH lesions. This study aimed to test whether the medical device could reduce the number of insulin injections in the same subcutaneous area as compared with non-aided standard insulin injection techniques. METHODS: In this proof-of-concept cross-over study, baseline data about injection site in the abdominal region were collected blinded for 1 week with a nonguiding version of the device and compared to 1 and 12 weeks of device guidance in 35 people with type 1 diabetes. The device registered time and location of abdominal injections. The primary endpoint was a "rotation score." Secondary endpoints included number and size of LH, GV, and hemoglobin A1c. RESULTS: The rotation score improved significantly from a baseline mean of 40.2% to 49.9% after 1 week (confidence interval: 2.2-17.2%, P = .012) and improved further after 12 weeks to 52.2% (P < .001). After 12 weeks, LH was reduced both in median size from 9.2 (range: [0.9-29.4]) cm2 to 5.4 (range: [0.0- 26.8]) cm2 (P = .041) and mean count from 1.4 (range: [1-2]) to 1.1 (range: [0-2], P = .039) and the coefficient of variation of interstitial glucose was reduced from 38.6 to 35.1 (P = .009). CONCLUSION: This proof-of-concept study indicates that the device improves rotation of insulin injections, and reduces LH and GV.

Gustatory sweating in people with type 1 and type 2 diabetes mellitus: Prevalence and risk factors.

OBJECTIVE: Gustatory sweating (GS) is characterized by profuse sweating during or immediately after ingestion of food and is known as a complication of diabetes mellitus (DM). This study aimed to determine the prevalence of GS and to characterize the sweating in a cohort of patients with type 1 and type 2 diabetes mellitus (T1DM and T2DM) as compared with a control group. METHODS: In a cross-sectional study, 665 outpatients with T1DM and 505 outpatients with T2DM filled in an 8-point questionnaire about GS. Answers were paired with medical data from the electronic patient records to explore associations with DM complications. The control group consisted of 1158 persons without DM answering the same questionnaire in an online version. RESULTS: In people with T1DM and T2DM, the prevalence of GS was 10% (95% CI 7%-12%) and 13% (95% CI 10%-16%), respectively. In the control group, the prevalence of GS was 5% (95% CI 3%-6%). Most commonly, people sweat on the face and/or head and upper body with a duration of 10-30 min albeit in the control group <10 min. In patients with T1DM, increased HbA1c was associated with GS (OR 1.3 [95% CI 1.05-1.6], p = .016), and in T2DM, younger age (OR 0.95 [95% CI 0.92-0.99), p = .006), presence of severe peripheral neuropathy (OR 2.33 [95% CI 1.04-5.2], p = .039) and absence of proliferative retinopathy were associated with GS (OR 0.22 [95% CI 0.07-0.71], p = .011). CONCLUSION: We found the prevalence of gustatory sweating of 11% in a hospital-based cohort of patients with T1DM and T2DM. This was twice as high as in non-diabetic control persons. Associations between GS and known diabetes complications could only be demonstrated in T2DM. Compared with a control group without DM, odds for GS are higher in people with DM and age >45.

Remote continuous glucose monitoring during the COVID-19 pandemic in quarantined hospitalized patients in Denmark: A structured summary of a study protocol for a randomized controlled trial.

OBJECTIVES: Patients with diabetes are - compared to people without diabetes - at increased risk of worse outcomes from COVID-19 related pneumonia during hospitalization. We aim to investigate whether telemetric continuous glucose monitoring (CGM) in quarantined hospitalized patients with diabetes and confirmed SARS-CoV-2 infection or another contagious infection can be successfully implemented and is associated with better glycaemic control than usual blood glucose monitoring (finger prick method) and fewer patient-health care worker contacts. Furthermore, we will assess whether glucose variables are associated with the clinical outcome. The hypothesis is that by using remote CGM to monitor glucose levels of COVID-19 infected patients and patients with other contagious infections with diabetes, we can still provide satisfactory (and maybe even better) in-hospital diabetes management despite patients being quarantined. Furthermore, the number of patient-personnel contacts can be lowered compared to standard monitoring with finger-prick glucose. This could potentially reduce the risk of transmitting contagious diseases from the patient to other people and reduces the use of PPE's. Improved glucose control may reduce the increased risk of poor clinical outcomes associated with combined diabetes and infection. TRIAL DESIGN: This is a single centre, open label, exploratory, randomised, controlled, 2-arm parallel group (1:1 ratio), controlled trial. PARTICIPANTS: The trial population is patients with diabetes (both type 1 diabetes, type 2 diabetes, newly discovered diabetes that is not classified yet, and all other forms of diabetes) admitted to Nordsjællands Hospital that are quarantined due to COVID-19 infection or another infection. INCLUSION CRITERIA: 1. Hospitalized with confirmed COVID-19 infection by real-time PCR or another validated method OR hospitalized with a non-COVID-19 diagnosis and quarantined at time of inclusion. 2. A documented clinically relevant history of diabetes or newly discovered during hospitalization as defined by The World Health Organizations diagnostic criteria for diabetes. 3. Written informed consent obtained before any trial related procedures are performed. 4. Male or female aged over 18 years of age. 5. Must be able to communicate with the study personnel. 6. The subject must be willing and able to comply with trial protocol. EXCLUSION CRITERIA: 1. Known hypersensitivity to the band-aid of the Dexcom G6 sensors INTERVENTION AND COMPARATOR: Participants will be randomized to either real-time CGM with the Dexcom G6, a CGM system that does not need to be calibrated, or finger-prick glucose monitoring. Blinded CGM will be mounted in the finger-prick group. In the open CGM group, the glucose values will be transmitted to a Smartdevice in the nurse office where glucose levels can be monitored remotely. MAIN OUTCOMES: The primary endpoint is the difference between groups in distribution of glucose values being in time in range (TIR), defined as 3.9 to 10 mmol/l. In addition, the primary endpoint is reported as the percentage of days of the whole admission, the patient reaches TIR. Secondary endpoints are the estimated number of saved patient-personnel contacts related to blood glucose measurements, incl. time healthcare providers spent on diabetes related tasks and PPE related tasks, during the patients' hospitalization. Furthermore, we will assess additional glucose outcomes and associations of glucose variables and patient outcomes (As specified in the protocol). RANDOMISATION: The service used for generating the randomization lists is www.random.org . Randomization is stratified by COVID-19 status and an allocation ratio of 1:1 to either CGM or finger-prick groups. BLINDING (MASKING): The design of the trial is open, however blinded CGM is recorded in the finger-prick group. NUMBERS TO BE RANDOMIZED (SAMPLE SIZE): A sample size of N=72 is required for the primary endpoint analysis based on 80% power to detect a 10% difference between groups in TIR and to allow for a 15% dropout. The 72 participants will be randomized 1:1 to open CGM or finger-prick with 36 in each group. TRIAL STATUS: This structured protocol summary is based on the CGM-ISO protocol version 1.3, dated 13.05.2020. Date of first patient enrolled: 25.05.2020. Expected last recruiting is May 2021. Patients enrolled to date: 20 in total. 8 with confirmed COVID-19 infection and 12 with other infections. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04430608 . Registered 12.06.2020 FULL PROTOCOL: The full protocol is attached as an additional file from the Trial website (Additional file 1). In the interest of expediting dissemination of this material, the familiar formatting has been eliminated; This Letter serves as a summary of the key elements of the full protocol.

[Contact with jellyfish led to intermittent severe hypertension].

Jellyfish is the number one cause of human pathologies due to contact with marine organisms. Jellyfish stings can cause a vast number of symptoms in humans like contact derma-titis, itching, pain, cardiovascular problems, anaphylaxis, and even death. This case report is about a 72-year-old woman with intermittent severe hypertension after being stung by jellyfish. Because of tourism and jellyfish migration the prevalence of patients with symptoms after jellyfish stings is increasing.

Systematic review of survival time in experimental mouse stroke with impact on reliability of infarct estimation.

BACKGROUND: Stroke is the second most common cause of death worldwide. Only one treatment for acute ischemic stroke is currently available, thrombolysis with rt-PA, but it is limited in its use. Many efforts have been invested in order to find additive treatments, without success. A multitude of reasons for the translational problems from mouse experimental stroke to clinical trials probably exists, including infarct size estimations around the peak time of edema formation. Furthermore, edema is a more prominent feature of stroke in mice than in humans, because of the tendency to produce larger infarcts with more substantial edema. PURPOSE: This paper will give an overview of previous studies of experimental mouse stroke, and correlate survival time to peak time of edema formation. Furthermore, investigations of whether the included studies corrected the infarct measurements for edema and a comparison of correction methods will be discussed. METHOD: Relevant terms were searched in the National Library of Medicine PubMed database. A method for classification of infarct measurement methods was made using a naming convention. CONCLUSION: Our study shows that infarct size estimations are often performed around the peak time of edema, with a median of 24h. Most studies do consider edema formation, however, there is no consensus on what method to use to correct for edema. Furthermore, investigations into neuroprotective drugs should use longer survival times to ensure completion of the investigated process. Our findings indicate a need for more research in this area, and establishment of common correction methodology.