Nocturnal hypoglycemia is underdiagnosed in older people with insulin-treated type 2 diabetes: The HYPOAGE observational study.

BACKGROUND: There is a lack of real-life data regarding the frequency and predictive factors of hypoglycemia in older patients with type 2 diabetes (T2D). This study aimed to determine the frequency and predictors of hypoglycemia in older patients with insulin-treated T2D. METHODS: This prospective multicenter study included 155 insulin-treated T2D patients aged 75 years and older with ≥2 self-monitoring of blood glucose (SMBG) daily controls. Participants underwent a geriatric and diabetic assessment and received ambulatory blinded continuous glucose monitoring (CGM) for 28 consecutive days with FreeStyle Libre Pro® sensor. Study population (n = 141) has >70% CGM active time. Multivariable logistic regressions were used to identify factors associated with SMBG confirmed hypoglycemia (≥70 mg/dL) and with nocturnal level 2 time below range (glucose concentration <54 mg/dL during ≥15 consecutive min between 0.00 and 6.00 am). RESULTS: The mean age of the 141 analyzed patients was 81.5 ± 5.3 years and 56.7% were male. The mean baseline HbA1c was 7.9% ± 1.0%. After geriatric assessment, 102 participants (72.3%) were considered as complex and 39 (27.7%) as healthy. The primary endpoint (confirmed SMBG <70 mg/dL) occurred in 37.6% patients. In multivariable analysis, the risk of SMBG-confirmed hypoglycemia was positively associated with a longer duration of diabetes (OR (+1 year) =1.04, (1.00-1.08), p = 0.04) and glycemic variability assessed by CGM (CV %) (OR (+1%) = 1.12, [1.05-1.19], p = <0.001). Nighty-two patients (65.2%) experienced nocturnal time in hypoglycemia (i.e., <54 mg/dL during ≥15 consecutive min between midnight and 6 a.m.). In multivariable analyses, cognitive impairment (OR: 9.31 [2.59-33.4]), heart failure (OR: 4.81 [1;48-15.6]), and depressive disorder (OR: 0.19 [0.06-0.53]) were associated with nocturnal time in hypoglycemia. CONCLUSION: Nocturnal hypoglycemia is very common and largely underdiagnosed in older patients with insulin-treated T2D. CGM is a promising tool to better identify hypoglycemia and adapt diabetes management in this population.

Use of dipeptidyl peptidase-4 inhibitors and prognosis of COVID-19 in hospitalized patients with type 2 diabetes: A propensity score analysis from the CORONADO study.

AIM: To investigate the association between routine use of dipeptidyl peptidase-4 (DPP-4) inhibitors and the severity of coronavirus disease 2019 (COVID-19) infection in patient with type 2 diabetes in a large multicentric study. MATERIALS AND METHODS: This study was a secondary analysis of the CORONADO study on 2449 patients with type 2 diabetes (T2D) hospitalized for COVID-19 in 68 French centres. The composite primary endpoint combined tracheal intubation for mechanical ventilation and death within 7 days of admission. Stabilized weights were computed for patients based on propensity score (DPP-4 inhibitors users vs. non-users) and were used in multivariable logistic regression models to estimate the average treatment effect in the treated as inverse probability of treatment weighting (IPTW). RESULTS: Five hundred and ninety-six participants were under DPP-4 inhibitors before admission to hospital (24.3%). The primary outcome occurred at similar rates in users and non-users of DPP-4 inhibitors (27.7% vs. 28.6%; p = .68). In propensity analysis, the IPTW-adjusted models showed no significant association between the use of DPP-4 inhibitors and the primary outcome by Day 7 (OR [95% CI]: 0.95 [0.77-1.17]) or Day 28 (OR [95% CI]: 0.96 [0.78-1.17]). Similar neutral findings were found between use of DPP-4 inhibitors and the risk of tracheal intubation and death. CONCLUSIONS: These data support the safety of DPP-4 inhibitors for diabetes management during the COVID-19 pandemic and they should not be discontinued.

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.

Association between sleep disturbances, fear of hypoglycemia and psychological well-being in adults with type 1 diabetes mellitus, data from cross-sectional VARDIA study.

AIM: To assess the relationship between sleep quality, fear of hypoglycemia, glycemic variability and psychological well-being in type 1 diabetes mellitus. METHODS: Our data were provided by the VARDIA Study, a multicentric cross-sectional study conducted between June and December 2015. Sleep characteristics were assessed by the Pittsburgh Sleep Quality Index (PSQI). Fear of hypoglycemia and psychological well-being were measured with the Hypoglycemia Fear Survey version II (HFS-II) and the Hospital Anxiety and Depression Scale (HADS), respectively. Glycemic variability (GV) was determined using the CV of three 7-point self-monitoring blood glucose profiles and the mean amplitude of glycemic excursion (MAGE). RESULTS: 315 patients were eligible for PSQI questionnaire analysis: 54% women, mean age 47 ± 15, mean diabetes duration of 24 ± 13 years, HbA1c of 7.6 ± 0.9% (60 ± 7,5mmol/mol). Average PSQI score was 6.0 ± 3.3 and 59.8% of the patients had a PSQI score > 5. HFS-II score and HADS were significantly higher among "poor" sleepers (p < 0.0001) and PSQI score was positively associated with HADS (ß = 0.22; 95% CI = 0.08;0.35). GV evaluated by CV or MAGE did not differ between "poor" and "good" sleepers (p = 0.28 and 0.54, respectively). CONCLUSIONS: Adult patients with type 1 diabetes have sleep disturbances which correlate with psychological well-being. This study suggests that psychological management can be a target to improve sleep quality in adults with type 1 diabetes mellitus.

[Epidemiology of type 1 diabetes and its complications]. / Épidémiologie du diabète de type 1 et de ses complications.

Epidemiology of type 1 diabetes and its complications. The prevalence of type 1 diabetes in adult is estimated at 0.3 to 0.5%, or 10% of all types of diabetes. In youth less than 15 years, in France, the incidence of type 1 diabetes is 18 per 100,000 over the period 2013-2015 (based on the National Health Data System), corresponding to an approximate prevalence of 1.3 per 1000. The incidence of diabetes in youth increases by 3 to 4% per year, an increase seen in France since 1988. With the intensification of treatment (resulting in HbA1c around 8% on average over the entire follow-up), after 30 years of progression of diabetes (in subjects aged 50 years on average), it was observed that the prevalence of severe retinopathy (requiring laser treatment) was nearly 15%, microalbuminuria 15%, macroproteinuria 4%, advanced renal failure less than 2%, clinical neuropathy 24%, and macrovascular complications around 5%.

Épidémiologie du diabète et de ses complications. La prévalence du diabète de type 1 chez l'adulte est estimée entre 0,3 à 0,5 %, soit 10 % de l'ensemble des diabètes. Chez les moins de 15 ans, en France, l'incidence du diabète de type 1 est de 18 pour 100 000 sur la période 2013-2015 (à partir du système national des données de santé), correspondant à une prévalence de l'ordre de 1,3 pour 1 000. L'incidence du diabète du sujet jeune augmente de 3 à 4 % par an, augmentation repérée en France depuis l'année 1988. Avec l'intensification du traitement (aboutissant à une hémoglobine glyquée autour de 8 % en moyenne sur l'ensemble du suivi), après 30 ans d'évolution du diabète (chez des sujets âgés de 50 ans en moyenne), il a été observé une fréquence de rétinopathie sévère (nécessitant un traitement par laser) de près de 15 %, de microalbuminurie de 15 %, de macroprotéinurie de 4 %, d'insuffisance rénale avancée de moins de 2 %, de neuropathie clinique de 24 %, et de complications macrovasculaires de l'ordre de 5 %.

Hypophysitis in 2014.

Hypophysitis is a rare pathology. As clinical symptoms and radiologic signs are non-specific, the diagnostic is difficult. Hypophysitis's pathogenesis remains obscure but new histological and etiological variants have recently been reported. Primary hypophysitis is the main form. For the first time, hypophysitis in ANCA-associated vasculitides has been reported. An entity of immunoglobulin G4 related plasmatic hypophysitis has been described and well-defined diagnostic criteria are proven. Monoclonal antibodies directed against the cytotoxic T-lymphocyte antigen-4 (CTLA-4), investigated in metastatic cancer, can induce hypophysitis. Hypophysitis's pathogenesis remains obscure but several candidate pituitary autoantigens have been described in the last decade, although none has proven useful as a diagnostic tool.

Is thyroid cancer recurrence risk increased after transplantation?

CONTEXT: An increased cancer mortality is reported in transplanted patients. OBJECTIVE: This multicentric study aimed to investigate the rate of thyroid cancer recurrence after transplantation. RESULTS: Sixty-eight patients (35 male/33 female) with a history of both thyroid cancer and organ transplantation were recruited via two nationwide French networks. Histological analysis identified 58 papillary (88%), 5 follicular (7.5%), and 3 poorly differentiated cancer cases (4.5 %). Thirty-one patients (52%) presented high recurrence risk tumors. In the 36 patients with thyroid cancer diagnosed after transplantation, the 5-year disease-free survival (DFS) was 74.7% (SE: 7.3%). One patient died after progression of a poorly differentiated cancer. Persistent disease was observed in six high-risk patients. One of them underwent a second transplantation and disease remained stable after 5 years of follow-up. Thyroid cancer had been diagnosed before transplantation in 32 patients. One patient with cystic fibrosis and thyroid lung metastases at the time of lung transplantation underwent a 4-year remission. For the 31 patients in remission at the time of transplantation, the 5-year DFS was 93.1% (SE: 4.8%). Two patients with local recurrence presented subsequent remission. For the entire study population, the 5-year and 9-year DFS were 81.9% (SE: 5.5%) and 75.6% (SE: 7.9%), respectively. Recurrence or persistent disease occurred in patients with high-risk tumors. CONCLUSIONS: The prognosis of thyroid cancer does not seem to be altered by transplantation. This suggests that a history of thyroid cancer should not be considered a contraindication.