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.

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/m 2 , reference group), 726 (36.9%) overweight (25‐29.9 kg/m 2 ) and 805 (41.0%) obese subjects were analysed, including 491 (25.0%) with class I obesity (30‐34.9 kg/m 2 ) and 314 (16.0%) with class II/III obesity (≥35 kg/m 2 ). 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.

The 5% prevalence of heterozygous mutations discovered in our series is higher than initially thought and encourages GR mutation screening in patients with adrenal incidentalomas to unambiguously differentiate from Cushing's states and to optimize personalized follow-up.

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BackgroundThe incidence of childhood type 1 diabetes (T1D) incidence is rising in many countries, supposedly because of changing environmental factors, which are yet largely unknown. The purpose of the study was to unravel environmental markers associated with T1D.MethodsCases were children with T1D from the French Isis-Diab cohort. Controls were schoolmates or friends of the patients. Parents were asked to fill a 845-item questionnaire investigating the child’s environment before diagnosis. The analysis took into account the matching between cases and controls. A second analysis used propensity score methods.ResultsWe found a negative association of several lifestyle variables, gastroenteritis episodes, dental hygiene, hazelnut cocoa spread consumption, wasp and bee stings with T1D, consumption of vegetables from a farm and death of a pet by old age.ConclusionsThe found statistical association of new environmental markers with T1D calls for replication in other cohorts and investigation of new environmental areas.Trial registrationClinical-Trial.gov NCT02212522. Registered August 6, 2014. Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-016-3690-9) contains supplementary material, which is available to authorized users.

Aims/hypothesis Diabetes has been recognised as a pejorative prognostic factor in coronavirus disease 2019 . 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/interpretationOur results demonstrate that diabetes status was associated with a deleterious COVID-19 prognosis irrespective of age and comorbidity status. Trial registration ClinicalTrials.gov NCT04324736 Keywords Charlson index . Comorbidity . COVID-19 . Death . Diabetes . Invasive mechanical ventilation . Prognosis Abbreviations AST Aspartate aminotransferase CCi Charlson comorbidity index CKD-EPI Chronic Kidney Disease EPIdemiology collaboration CORONADO Coronavirus SARS-CoV-2 and Diabetes Outcomes COVID-19 Coronavirus disease 2019PG and SH contributed to the work equally and should be regarded as colast authors.

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. K E Y W O R D Sapoplexy, dopamine agonists, macroprolactinoma, pregnancy, prolactinoma

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