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.

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.

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.

Evolution of macroprolactinomas during pregnancy: A cohort study of 85 pregnancies.

OBJECTIVE: Pregnancy in patients with macroprolactinomas has been associated with a higher risk of pituitary tumour growth. However, the incidence and risk factors remain unclear. We aimed to evaluate the evolution of macroprolactinomas during pregnancy and to identify potential risk factors. DESIGN, PATIENTS AND MEASUREMENTS: This is a two-centre, retrospective, observational study. All patients with macroprolactinomas, treated with a dopamine receptor agonist (DA), and who had at least one pregnancy were included. RESULTS: There were a total of 85 viable pregnancies in 46 patients with macroprolactinomas. At diagnosis, mean size of pituitary adenomas was 17.9 ± 8.2 mm (10-43 mm) and mean plasma prolactin level was 1012.2 ± 1606.1 µg/L (60-7804 µg/L). Tumour growth-related symptoms were identified 12 times in 9 patients (19.6%) including 3 cases of apoplexy. Restarting, changing and/or increasing DA treatment was effective in 10 cases. Emergency surgery had to be performed twice (due to pituitary apoplexy). Patients with tumour progression tended to present with larger tumours after initial treatment and before pregnancy (9.9 vs 5.9 mm; P = .0504 and 11.5 vs 7.3 mm; P = .0671, respectively), whereas adenoma size at diagnosis did not seem to be a significant factor. The obstetrical outcomes were comparable to the general population. CONCLUSIONS: Symptomatic growth of macroprolactinoma during pregnancy occurred in 19.6% of medically treated patients. This risk seems higher for patients with poor initial tumour response to the DA treatment. Tumour progression is generally well controlled with medical treatment during pregnancy.

Early predictors of diabetic retinopathy in type 1 diabetes: The Retinopathy Champagne Ardenne Diabète (ReCAD) study.

AIMS: To determine the relationship between early markers of diabetes control and diabetic retinopathy (DR) in type 1 diabetes. METHODS: A historic cohort study was conducted on 712 patients from the CARéDIAB database. HbA1c and usual metabolic parameters were measured one year after diagnosis of diabetes. First occurrences of severe hypoglycemia and ketoacidosis during follow-up were selected as time-dependent markers of diabetes control. Data were analyzed in a Cox model using SPSS software to predict DR with significance level at p-value <0.05. RESULTS: In multivariate regression, any diabetic retinopathy was predicted by HbA1c (HR = 1.38; CI = 1.25-1.52; p < 0.0001), severe hypoglycemia (HR = 3; CI = 1.99-4.52; p < 0.0001), ketoacidosis (HR = 1.96; CI = 1.17-3.22; p = 0.009), and age at diagnosis (HR = 1.016; CI = 1.002-1.031; p = 0.02). Proliferative DR was predicted by HbA1c (HR = 1.67; CI = 1.51-1.79; p < 0.0001), severe hypoglycemia (HR = 3.67; CI = 2.74-5.25; p < 0.0001), and ketoacidosis (HR = 2.37; CI = 1.56-3.18; p < 0.0001). CONCLUSION: This study shows that the failure to achieve diabetes control after the first year of diagnosis as well as early episodes of acute diabetes complications may contribute to the occurrence of diabetic retinopathy in type 1 diabetes patients.

Macroprolactinomas in children and adolescents: factors associated with the response to treatment in 77 patients.

BACKGROUND: Pituitary adenomas are rare in children and adolescents. The response of macroprolactinomas to dopamine agonists (DA) in this age group has been less extensively studied than in adults. OBJECTIVE: We retrospectively analyzed data on a large cohort of young patients with macroprolactinomas. PATIENTS AND METHODS: Patients aged younger than 20 years at macroprolactinoma diagnosis and seen in three tertiary referral centers between 1983 and 2013 were studied by analyzing their clinical and genetic (AIP and MEN1) characteristics. Hormonal and tumoral responses to DA were analyzed, and the patients' status at their last visit, after a mean (±SD) follow-up of 8.2 ± 5.8 years, was assessed. RESULTS: The cohort comprised 77 patients (26 males, 51 females). Mean age at diagnosis was 16.1 ± 2.5 years (range, 4.5-20 y). In both sexes, the most frequent revealing symptom was a pubertal disorder (49%), followed by visual problems (24%) and growth retardation (24%). Basal prolactin (PRL) levels and maximal tumor diameter were significantly higher in boys than in girls (7168 ng/mL, 202-40 168 vs 1433 ng/mL, 115-20 000, P = .002; and 33 ± 14 mm, 15-64 vs 19 ± 9 mm; 10-50, P < .001, respectively). PRL levels normalized in 74% of the patients treated with DA. A mutation of AIP or MEN1 was found in 14% of the patients. Factors associated with resistance to DA were young age, higher PRL levels, larger volume, and the presence of a MEN1 (but not an AIP) mutation. CONCLUSION: Macroprolactinomas are rare below the age of 20 years, mainly occurring in girls and during adolescence. Like adults, young patients are very sensitive to DA, which should therefore be considered the first-line treatment. DA resistance is associated with a higher PRL level and larger tumor size, both parameters being closely linked together. About 14% of these young patients have an AIP or MEN1 mutation, this latter being an independent predictor of DA resistance.