Continuous glucose monitoring for the routine care of type 2 diabetes mellitus.

Although continuous glucose monitoring (CGM) devices are now considered the standard of care for people with type 1 diabetes mellitus, the uptake among people with type 2 diabetes mellitus (T2DM) has been slower and is focused on those receiving intensive insulin therapy. However, increasing evidence now supports the inclusion of CGM in the routine care of people with T2DM who are on basal insulin-only regimens or are managed with other medications. Expanding CGM to these groups could minimize hypoglycaemia while allowing efficient adaptation and escalation of therapies. Increasing evidence from randomized controlled trials and observational studies indicates that CGM is of clinical value in people with T2DM on non-intensive treatment regimens. If further studies confirm this finding, CGM could soon become a part of routine care for T2DM. In this Perspective we explore the potential benefits of widening the application of CGM in T2DM, along with the challenges that must be overcome for the evidence-based benefits of this technology to be delivered for all people with T2DM.

Carbohydrate counting knowledge and ambulatory glucose profile in persons living with type 1 diabetes.

CONTEXT: The amount of consumed carbohydrates is the strongest factor influencing glucose levels during the four hours following a meal. Our aim was to evaluate the association between carbohydrate counting knowledge and continuous glucose monitoring (CGM) parameters in patients with type 1 diabetes (T1D) using different insulin regimens. METHOD: In this multicenter prospective study, the GluciQuizz questionnaire was used to evaluate carbohydrate knowledge. CGM data for the 14 days preceding completion of the questionnaire were analyzed. The primary endpoint was evaluation of the correlation between the GluciQuizz total score and time in range (TIR) in the study population. RESULTS: The mean age of the 170 participants was 40.7 ± 14.8 years and duration of T1D 18.8 ± 12.1 years. The mean GluciQuizz total score for all participants was 66 ± 13 %. Mean TIR was 58.6 ± 18.7 %. GluciQuizz total score positively correlated with TIR (r = 0.3001; p < 0.0001). This correlation was observed in CSII users (r = 0.2526; p < 0.05) but not in MDI (r = 0.2510; p = 0.1134) and HCL users (r = -0.1065; p = 0.4914). TIR was also negatively correlated with the mean carb count error in all study participants (r = -0.2317; p < 0.01). CONCLUSION: In conclusion, as the Gluciquizz score was associated with metabolic control, this easy-to-use self-administered questionnaire could be used widely on a routine basis to assess the carbohydrate knowledge of T1D patients and to offer them targeted education tailored to their needs.

MiniMedTM 780G Advanced Hybrid Closed-Loop System Study in Pregnant Women with Type 1 Diabetes.

Background: Evaluate the impact of the MiniMed™ 780G advanced hybrid closed-loop (AHCL) system on the glucose profile of pregnant women with type 1 diabetes (T1D) and maternal-neonatal complications. Methods: From April 2021 to September 2022, pregnant women with T1D treated with the AHCL system were included in an observational multicenter retrospective study. Continuous glucose monitoring parameters were analyzed monthly during pregnancy as well as maternal-neonatal complications. Results: Thirteen pregnant women, including a twin pregnancy (age: 33 ± 3 years, hemoglobin A1c [HbA1c]: 7.3% ± 0.7%, insulin doses: 0.72 ± 0.21 U/kg/day) were analyzed. At delivery, gestational age was 37 ± 2 weeks. During first 2 weeks of pregnancy, time in range (TIR, 63-140 mg/dL) was 46% (34-55) and increased to 54% (51-59) (P < 0.01), 64% (48-68) (P < 0.01), and 66% (60-70) (P < 0.001) during the first, second, and third trimester, respectively. During the night, TIR (63-140 mg/dL) was >70% throughout pregnancy. Time below the range <63 mg/dL increased from 0.5% (0-2) to 1.3% (0.7-2.2), 2% (1.2-3.5) (P < 0.05), and 1.3% (1.31-3) (P < 0.05) during the first, second, and third trimester, respectively. At delivery, insulin doses increased to 0.89 ± 0.35 IU/kg/day (P < 0.01), and HbA1c decreased to 6.4% ± 0.6% (P = 0.005). The reported carbohydrate amount increased from 167 ± 363 g/d during early pregnancy to 243 ± 106 g/d (P < 0.01) at delivery. The birthweight was 3134 ± 711 g, with 5/14 macrosomia and 2/14 neonatal hypoglycemia. Moreover, 5/13 patients had a preeclampsia and 9/13 a cesarean section, including three cases of scarred uterus. The Clinical Trial Registration number is: CE-2022-55. Conclusion: The AHCL system provided good glucose control during pregnancy and recommendation targets were reached during the nocturnal period only. The maternal and neonatal complications remained high.

Management of Glucose-Lowering Therapy in Older Adults with Type 2 Diabetes: Challenges and Opportunities.

The population of older adults (≥65 years) with type 2 diabetes mellitus (T2DM) is diverse, encompassing individuals with varying functional capabilities, living arrangements, concomitant medical conditions, and life expectancies. Hence, their categorization into different patient profiles (ie, good health, intermediate health, poor health) may aid in clinical decision-making when establishing glycemic goals and pharmacological treatment strategies. Further granularity in assessing each patient profile through interdisciplinary collaboration may also add precision to therapeutic and monitoring decisions. In this review, we discuss with a multidisciplinary approach how to deliver the best benefit from advanced diabetes therapies and technologies to older adults with T2DM according to each patient profile. There remain however several areas that deserve further research in older adults with T2DM, including the efficacy and safety of continuous glucose monitoring and automated insulin delivery systems, the switch to once-weekly insulin, the effectiveness of multidisciplinary care models, and the use of supported telemedicine and remote blood glucose monitoring in the oldest-old (≥85 years) who particularly require the assistance of others.

Metabolic Benefit of Teleconsultation for Diabetes Management During the COVID-19 Pandemic: A French Observational Prospective Study.

Aim: To investigate the impact of teleconsultation on glycemic control in patients with diabetes during the COVID-19 pandemic. Methods: In this observational prospective study, the main outcome was the comparison of glycated hemoglobin (HbA1c) between patients with or without teleconsultation at 6-month follow-up. Results: From March 17 to May 31, 2020, 610 patients were included, 456 were followed-up using Teleconsultation présent (TC+) and 154 not using No Teleconsultation (TC-). Patients of TC+ Group were younger, 57 ± 17 versus 65 ± 15.5 years (p < 0.001), with a lower body mass index, 28 ± 6.2 kg/m2 versus 30 ± 5.8 kg/m2, compared to those of TC- Group (p < 0.001). HbA1c were comparable between the two groups: 7.35 ± 0.27% for TC+ versus 7.48 ± 0.22% for TC- Group. At 6-month follow-up, HbA1c was lower in TC+ versus TC- Group: 7.21 ± 0.15% versus 7.6 ± 0.18% (p = 0.004). Conclusion: Our findings point toward the feasibility and usefulness of teleconsultation for the follow-up of patients with diabetes in such exceptional circumstances.

Initiation of the Fixed Combination IDegLira in Patients with Type 2 Diabetes on Prior Injectable Therapy: Insights from the EASY French Real-World Study.

INTRODUCTION: Combining basal insulin (BI) with glucagon-like peptide-1 receptor agonist (GLP-1RA) is recognized as a relevant option to optimize glucose control in type 2 diabetes (T2D). The EASY real-world study aimed to evaluate the modalities of initiation and the effectiveness of the insulin Degludec plus Liraglutide (IDegLira) fixed-ratio combination in the French health care system. METHODS: A retrospective analysis included all patients with T2D and prior injectable therapy (GLP1-RA and/or insulin) who started treatment with IDegLira from September 2016 to December 2017 in 11 French diabetes centers. Baseline characteristics, reasons for IDegLira initiation, and modes of implementation were collected from the medical records. Changes in HbA1c and body weight were determined in patients with available follow-up data (nearest 6-month visit). RESULTS: IDegLira was initiated in 629 patients previously treated with GLP-1RA alone (11.6%), insulin alone (31.5% including 16.5% with BI and 14.9% with multiple daily injections [MDI]) or a free combination of GLP-1RA and insulin (56.9% including 44.8% with BI and 12.1% with MDI), associated or not with oral agents. IDegLira starting dose (mean of 29 ± 11 dose steps) most often exceeded the recommended dose, and was significantly correlated with prior BI but not GLP-1RA dosage. At initiation, mean age, body mass index (BMI) and HbA1c were 60.1 ± 10.2 years, 33.4 ± 6.2 kg/m2 and 8.8 ± 1.7%, respectively. In 461 patients with available follow-up (median 178 days), HbA1c decreased in all subgroups submitted to treatment intensification (- 1.7 ± 1.8% [p < 0.0001], - 1.2 ± 1.8% [p < 0.001] and - 0.8 ± 1.8% [p = 0.0026] in patients with prior GLP-1RA, BI or MDI therapy, respectively) but also in those switching from BI and GLP-1RA free combination (- 0.2 ± 0.9%, p = 0.0419). Significant body weight gain occurred in patients previously treated with GLP-1RA alone (+ 1.5 ± 5.8 kg, p = 0.0572) or combined to BI (+ 1.0 ± 3.1 kg, p < 0.0001) while those on BI (- 1.4 ± 4.6 kg, p = 0.0139) or MDI (- 1.4 ± 5.0 kg, p = 0.0484) experienced weight loss. CONCLUSIONS: While providing new information on the use of IDegLira in the French healthcare system, these data confirm the effectiveness of this fixed-ratio combination in the management of T2D.

Long-term efficacy of sensor-augmented pump therapy (Minimed 640G system) combined with a telemedicine follow-up in patients with type 1 diabetes: A real life study.

Objective: Evaluate the efficacy of a new modality of insulin therapy associating both the sensor-augmented pump therapy with predictive low-glucose management (SAP-PLGM) and a telemedicine follow-up in patients with Type 1 diabetes (T1D) in a real-life setting. Methods: T1D adults under Minimed 640G system with a telemedicine follow-up for glucose management were included in a retrospective study. The primary endpoint was HbA1c while continuous glucose monitoring parameters (CGM) and treatment compliance were the secondary endpoints. These parameters were analyzed according to the therapeutic indication, HbA1c ≥ 8 % (Group A) or severe hypoglycemic events (Group B) and in patients switched to SAP-PLGM therapy. Results: 62 patients were analyzed with a 28 ± 12 months of follow-up. In Group A, HbA1c decreased from 8.3 ± 0.4 % to 7.7 ± 0.7 % (p < 0.05) and to 7.9 ± 0.3 % (p < 0.05) after 2 and 3 years, respectively. In patients switched to SAP-PLGM therapy, HbA1c decreased from 7.7 ± 0.7 % to 7.2 ± 0.8 % (p < 0.05) at 2 years. After 6 months, the time-below-range (<70 mg/dL) decreased from 2.1 % [0.6-4] to 1.1 % [0.3-2.6] (p < 0.05). Severe hypoglycemic events decreased from 1.62 to 0.5 events/patient/year in Group B (p < 0.05). At 3 years, treatment compliance was 92 % [70-97] in the total population. Conclusions: Long-term real-life treatment with the SAP-PLGM therapy combined with telemedicine was associated with improved glycemic control in T1D, along with high treatment compliance.

Impact of diabetes on COVID-19 prognosis beyond comorbidity burden: the CORONADO initiative.

AIMS/HYPOTHESIS: Diabetes has been recognised as a pejorative prognostic factor in coronavirus disease 2019 (COVID-19). Since diabetes is typically a disease of advanced age, it remains unclear whether diabetes remains a COVID-19 risk factor beyond advanced age and associated comorbidities. We designed a cohort study that considered age and comorbidities to address this question. METHODS: The Coronavirus SARS-CoV-2 and Diabetes Outcomes (CORONADO) initiative is a French, multicentric, cohort study of individuals with (exposed) and without diabetes (non-exposed) admitted to hospital with COVID-19, with a 1:1 matching on sex, age (±5 years), centre and admission date (10 March 2020 to 10 April 2020). Comorbidity burden was assessed by calculating the updated Charlson comorbidity index (uCCi). A predefined composite primary endpoint combining death and/or invasive mechanical ventilation (IMV), as well as these two components separately, was assessed within 7 and 28 days following hospital admission. We performed multivariable analyses to compare clinical outcomes between patients with and without diabetes. RESULTS: A total of 2210 pairs of participants (diabetes/no-diabetes) were matched on age (mean±SD 69.4±13.2/69.5±13.2 years) and sex (36.3% women). The uCCi was higher in individuals with diabetes. In unadjusted analysis, the primary composite endpoint occurred more frequently in the diabetes group by day 7 (29.0% vs 21.6% in the no-diabetes group; HR 1.43 [95% CI 1.19, 1.72], p<0.001). After multiple adjustments for age, BMI, uCCi, clinical (time between onset of COVID-19 symptoms and dyspnoea) and biological variables (eGFR, aspartate aminotransferase, white cell count, platelet count, C-reactive protein) on admission to hospital, diabetes remained associated with a higher risk of primary composite endpoint within 7 days (adjusted HR 1.42 [95% CI 1.17, 1.72], p<0.001) and 28 days (adjusted HR 1.30 [95% CI 1.09, 1.55], p=0.003), compared with individuals without diabetes. Using the same adjustment model, diabetes was associated with the risk of IMV, but not with risk of death, within 28 days of admission to hospital. CONCLUSIONS/INTERPRETATION: Our results demonstrate that diabetes status was associated with a deleterious COVID-19 prognosis irrespective of age and comorbidity status. TRIAL REGISTRATION: ClinicalTrials.gov NCT04324736.

History of bariatric surgery and COVID-19 outcomes in patients with type 2 diabetes: Results from the CORONADO study.

OBJECTIVE: This study assessed the impact of a history of metabolic and bariatric surgery (MBS) on the clinical outcomes in patients with type 2 diabetes (T2D) and severe obesity hospitalized for COVID-19. METHODS: In this post hoc analysis from the nationwide observational CORONADO (Coronavirus SARS-CoV2 and Diabetes Outcomes) study, patients with T2D and a history of MBS were matched with patients without MBS for age, sex, and BMI either at the time of MBS or on admission for COVID-19. The composite primary outcome (CPO) combined invasive mechanical ventilation and/or death within 7 and 28 days following admission. RESULTS: Out of 2,398 CORONADO participants, 20 had a history of MBS. When matching for BMI at the time of MBS and after adjustment for diabetes duration, the CPO occurred less frequently within 7 days (3 vs. 17 events, OR: 0.15 [0.01 to 0.94], p = 0.03) and 28 days (3 vs. 19 events, OR: 0.11 [0.01 to 0.71], p = 0.02) in patients with MBS (n = 16) vs. controls (n = 44). There was no difference in CPO rate between patients with MBS and controls when matching for BMI on admission. CONCLUSIONS: These data are reassuring regarding COVID-19 prognosis in patients with diabetes and a history of MBS compared with those without MBS.

Prospective Independent Evaluation of the Carbohydrate Counting Accuracy of Two Smartphone Applications.

INTRODUCTION: Smartphone applications (apps) have been designed that help patients to accurately count their carbohydrate intake in order to optimize prandial insulin dose matching. Our aim was to evaluate the accuracy of two carbohydrate (carb) counting apps. METHODS: Medical students, in the role of mock patients, evaluated meals using two smartphone apps: Foodvisor® (which uses automatic food photo recognition technology) and Glucicheck® (which requires the manual entry of carbohydrates with the help of a photo gallery). The macronutrient quantifications obtained with these two apps were compared to a reference quantification. RESULTS: The carbohydrate content of the entire meal was underestimated with Foodvisor® (Foodvisor® quantification minus gold standard quantification = - 7.2 ± 17.3 g; p < 0.05) but reasonably accurately estimated with Glucicheck® (Glucicheck® quantification minus gold standard quantification = 1.4 ± 13.4 g; ns). The percentage of meals with an absolute error in carbohydrate quantification above 20 g was greater for Foodvisor® compared to Glucicheck® (30% vs 14%; p < 0.01). CONCLUSION: The carb counting accuracy was slightly better when using Glucicheck® compared to Foodvisor®. However, both apps provided a lower mean absolute carb counting error than that usually made by T1D patients in everyday life, suggesting that such apps may be a useful adjunct for estimating carbohydrate content.

Intravenous high-dose methotrexate based systemic therapy in the treatment of isolated primary vitreoretinal lymphoma: An LOC network study.

The treatment of primary vitreoretinal lymphoma (PVRL) remains controversial regarding the use of local, systemic, or combined treatments. The aim of this study was to analyze the efficacy and toxicity of intravenous high-dose methotrexate (IV HD-MTX) based systemic therapy in a uniformly treated population of PVRL patients. From a nationwide French database, we retrospectively selected 59 patients (median age: 70 years, median Karnofsky Performance Status: 90%) with isolated PVRL at diagnosis who received first-line treatment with HD-MTX between 2011 and 2018. 8/59 patients also received a local treatment. No deaths or premature discontinuations of MTX due to toxicity were reported. A complete response was obtained in 40/57 patients after chemotherapy. Before treatment, IL-10 was elevated in the aqueous humor (AH) or in the vitreous in 89% of patients. After treatment, AH IL-10 was undetectable in 87% of patients with a CR/uCR/PR and detectable in 92% of patients with PD/SD. After a median follow-up of 61 months, 42/59 (71%) patients had relapsed, including 29 isolated ocular relapses as the first relapse and a total of 22 brain relapses. The median overall survival, progression-free survival, ocular-free survival and brain-free survival were 75, 18, 29 and 73 months, respectively. IV HD-MTX based systemic therapy as a first-line treatment for isolated PVRL is feasible, with acceptable toxicity, even in an elderly population. This strategy seems efficient to prevent brain relapse with prolonged overall survival. However, the ocular relapse rate remains high. New approaches are needed to improve local control of this disease, and ocular assessment could be completed by monitoring AH IL-10.

Relationship between obesity and severe COVID-19 outcomes in patients with type 2 diabetes: Results from the CORONADO study.

AIM: To assess the relationship between body mass index (BMI) classes and early COVID-19 prognosis in inpatients with type 2 diabetes (T2D). METHODS: From the CORONAvirus-SARS-CoV-2 and Diabetes Outcomes (CORONADO) study, we conducted an analysis in patients with T2D categorized by four BMI subgroups according to the World Health Organization classification. Clinical characteristics and COVID-19-related outcomes (i.e. intubation for mechanical ventilation [IMV], death and discharge by day 7 [D7]) were analysed according to BMI status. RESULTS: Among 1965 patients with T2D, 434 (22.1%) normal weight (18.5-24.9 kg/m2 , reference group), 726 (36.9%) overweight (25-29.9 kg/m2 ) and 805 (41.0%) obese subjects were analysed, including 491 (25.0%) with class I obesity (30-34.9 kg/m2 ) and 314 (16.0%) with class II/III obesity (≥35 kg/m2 ). In a multivariable-adjusted model, the primary outcome (i.e. IMV and/or death by D7) was significantly associated with overweight (OR 1.65 [1.05-2.59]), class I (OR 1.93 [1.19-3.14]) and class II/III obesity (OR 1.98 [1.11-3.52]). After multivariable adjustment, primary outcome by D7 was significantly associated with obesity in patients aged younger than 75 years, while such an association was no longer found in those aged older than 75 years. CONCLUSIONS: Overweight and obesity are associated with poor early prognosis in patients with T2D hospitalized for COVID-19. Importantly, the deleterious impact of obesity on COVID-19 prognosis was no longer observed in the elderly, highlighting the need for specific management in this population.

COMPARATIVE EFFECTIVENESS OF PROTON BEAM VERSUS PHOTODYNAMIC THERAPY TO SPARE THE VISION IN CIRCUMSCRIBED CHOROIDAL HEMANGIOMA.

PURPOSE: The aim of this study was to compare the functional and anatomical effectiveness of photodynamic therapy (PDT) versus proton beam therapy (PBT) in a real-life setting for the treatment of circumscribed choroidal hemangioma. METHODS: A total of 191 patients with a diagnosis of circumscribed choroidal hemangioma and treated by PBT or PDT were included for analyses. RESULTS: The 119 patients (62.3%) treated by PDT were compared with the 72 patients treated by PBT. The final best-corrected visual acuity did not differ significantly between the two groups (P = 0.932) and final thickness was lower in the PBT compared with the PDT group (P = 0.001). None of the patients treated by PBT needed second-line therapy. In comparison, 53 patients (44.5%) initially treated by PDT required at least one other therapy and were associated with worse final best-corrected visual acuity (P = 0.037). In multivariate analysis, only an initial thickness greater than 3 mm remained significant (P = 0.01) to predict PDT failure with an estimated odds ratio of 2.72, 95% confidence interval (1.25-5.89). CONCLUSION: Photodynamic therapy and PBT provide similar anatomical and functional outcomes for circumscribed choroidal hemangioma ≤3 mm, although multiple sessions are sometimes required for PDT. For tumors >3 mm, PBT seems preferable because it can treat the tumor in only 1 session with better functional and anatomical outcomes.

Metformin use is associated with a reduced risk of mortality in patients with diabetes hospitalised for COVID-19.

AIMS: Metformin exerts anti-inflammatory and immunosuppressive effects. We addressed the impact of prior metformin use on prognosis in patients with type 2 diabetes hospitalised for COVID-19. METHODS: CORONADO is a nationwide observational study that included patients with diabetes hospitalised for COVID-19 between March 10 and April 10, 2020 in 68 French centres. The primary outcome combined tracheal intubation and/or death within 7 days of admission. A Kaplan-Meier survival curve was reported for death up to day 28. The association between metformin use and outcomes was then estimated in a logistic regression analysis after applying a propensity score inverse probability of treatment weighting approach. RESULTS: Among the 2449 patients included, 1496 were metformin users and 953 were not. Compared with non-users, metformin users were younger with a lower prevalence of diabetic complications, but had more severe features of COVID-19 on admission. The primary endpoint occurred in 28.0% of metformin users (vs 29.0% in non-users, P = 0.6134) on day 7 and in 32.6% (vs 38.7%, P = 0.0023) on day 28. The mortality rate was lower in metformin users on day 7 (8.2 vs 16.1%, P < 0.0001) and on day 28 (16.0 vs 28.6%, P < 0.0001). After propensity score weighting was applied, the odds ratios for primary outcome and death (OR [95%CI], metformin users vs non-users) were 0.838 [0.649-1.082] and 0.688 [0.470-1.007] on day 7, then 0.783 [0.615-0.996] and 0.710 [0.537-0.938] on day 28, respectively. CONCLUSION: Metformin use appeared to be associated with a lower risk of death in patients with diabetes hospitalised for COVID-19.

Correction to: Phenotypic characteristics and prognosis of inpatients with COVID-19 and diabetes: the CORONADO study.

The authors regret a mistake in Table 1.

Phenotypic characteristics and prognosis of inpatients with COVID-19 and diabetes: the CORONADO study.

AIMS/HYPOTHESIS: Coronavirus disease-2019 (COVID-19) is a life-threatening infection caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) virus. Diabetes has rapidly emerged as a major comorbidity for COVID-19 severity. However, the phenotypic characteristics of diabetes in COVID-19 patients are unknown. METHODS: We conducted a nationwide multicentre observational study in people with diabetes hospitalised for COVID-19 in 53 French centres in the period 10-31 March 2020. The primary outcome combined tracheal intubation for mechanical ventilation and/or death within 7 days of admission. Age- and sex-adjusted multivariable logistic regressions were performed to assess the prognostic value of clinical and biological features with the endpoint. ORs are reported for a 1 SD increase after standardisation. RESULTS: The current analysis focused on 1317 participants: 64.9% men, mean age 69.8 ± 13.0 years, median BMI 28.4 (25th-75th percentile: 25.0-32.7) kg/m2; with a predominance of type 2 diabetes (88.5%). Microvascular and macrovascular diabetic complications were found in 46.8% and 40.8% of cases, respectively. The primary outcome was encountered in 29.0% (95% CI 26.6, 31.5) of participants, while 10.6% (9.0, 12.4) died and 18.0% (16.0, 20.2) were discharged on day 7. In univariate analysis, characteristics prior to admission significantly associated with the primary outcome were sex, BMI and previous treatment with renin-angiotensin-aldosterone system (RAAS) blockers, but not age, type of diabetes, HbA1c, diabetic complications or glucose-lowering therapies. In multivariable analyses with covariates prior to admission, only BMI remained positively associated with the primary outcome (OR 1.28 [1.10, 1.47]). On admission, dyspnoea (OR 2.10 [1.31, 3.35]), as well as lymphocyte count (OR 0.67 [0.50, 0.88]), C-reactive protein (OR 1.93 [1.43, 2.59]) and AST (OR 2.23 [1.70, 2.93]) levels were independent predictors of the primary outcome. Finally, age (OR 2.48 [1.74, 3.53]), treated obstructive sleep apnoea (OR 2.80 [1.46, 5.38]), and microvascular (OR 2.14 [1.16, 3.94]) and macrovascular complications (OR 2.54 [1.44, 4.50]) were independently associated with the risk of death on day 7. CONCLUSIONS/INTERPRETATIONS: In people with diabetes hospitalised for COVID-19, BMI, but not long-term glucose control, was positively and independently associated with tracheal intubation and/or death within 7 days. TRIAL REGISTRATION: clinicaltrials.gov NCT04324736.

Effect of adding vildagliptin to insulin in haemodialysed patients with type 2 diabetes: The VILDDIAL study, a randomized, multicentre, prospective study.

AIM: To evaluate the effect of adding the dipeptidyl-peptidase-4 inhibitor vildagliptin to insulin on the glycaemic control of patients with type 2 diabetes undergoing haemodialysis. METHODS: Overall, 65 insulin-treated patients with type 2 diabetes undergoing haemodialysis (HbA1c: 7.3% ± 1.1%; age: 70.5 ± 8.5 years) were randomized (1:1) either to receive vildagliptin 50 mg/day in addition to insulin (vildagliptin-insulin group) or to pursue their usual insulin regimen (insulin-only group). Continuous glucose monitoring (CGM) was performed for 48 ± 6 hours at baseline and at week 12. The primary study endpoint was change from baseline in mean interstitial glucose using CGM. The secondary endpoints included other CGM variables and glucose control markers. RESULTS: After 12 weeks, a greater reduction in mean CGM glucose from baseline was observed in the vildagliptin-insulin group compared with the insulin-only group, although the between-treatment difference was not statistically significant (mean difference [CI 95%]: -0.96 mmol/L [-2.09; 0.18] vs. -0.29 mmol/L [-1.29; 0.76], P = 0.32). However, a significant decrease from baseline in HbA1c, glycated albumin and insulin daily doses was observed in the vildagliptin-insulin group versus the insulin-only group (-0.6% [-1.19; -0.1], P < 0.01), in the vildagliptin-insulin group versus no change in the insulin-only group (-130.6 µmol/L [-271; 10.7] vs. +36.2 µmol/L [-164.4; 236.9], P = 0.04 and - 5.9 IU/day [-1.8; 7.1] vs. +1.1 IU/day [-14.5; 16.6], P = 0.01, respectively). There was no significant difference in the percentage of time spent in hypoglycaemia using CGM, occurrence of severe hypoglycaemia or number of adverse events. CONCLUSION: In this study, vildagliptin added to insulin improved glycaemic control with an associated insulin-sparing effect in patients with type 2 diabetes undergoing haemodialysis and was well tolerated.

Telemonitoring in diabetes: evolution of concepts and technologies, with a focus on results of the more recent studies.

This is a narrative review of telemonitoring (remote monitoring) projects and studies within the field of diabetes, with a focus on results of the more recent studies. Since the beginning of the 1990s, several telemedicine projects and studies focused on type 1 and type 2 diabetes. Over the last 5 years, numerous telemedicine projects based on connected objects and new information and communication technologies (ICT) (elements defining telemedicine 2.0) have emerged or are still under development. Two examples are the DIABETe and Telesage telemonitoring project which perfectly fits within the telemedicine 2.0 framework - the first to include artificial intelligence (AI) with MyPrediTM and DiabeoTM. Mainly, these projects and studies show that telemonitoring diabetic result in: improvements in control of blood glucose (BG) level and significant reduction in HbA1c (e.g., for Telescot et TELESAGE studies); positive impact on co-morbidities (arterial hypertension, weight, dyslipidemia) (e.g., for Telescot and DIABETe studies); better patient's quality of life (e.g., for DIABETe study); positive impact on appropriation of the disease by patients and/or greater adherence to therapeutic and hygiene-dietary measures (e.g., The Utah Remote Monitoring Project); and at least, good receptiveness by patients and their empowerment. To date, the magnitude of its effects remains debatable, especially with the variation in patients' characteristics (e.g., background, ability for self-management, medical condition), samples selection and approach for the treatment of control groups. All of the recent studies have been classified as "Moderate" to "High".