Mortality-related risk factors of inpatients with diabetes and COVID-19: A multicenter retrospective study in Belgium.

BACKGROUND AND AIMS: We describe mortality-related risk factors of inpatients with diabetes and coronavirus disease 2019 (COVID-19) in Belgium. METHODS: We conducted a multicenter retrospective study from March to May, 2020, in 8 Belgian centers. Data on admission of patients with diabetes and COVID-19 were collected. Survivors were compared to non-survivors to identify prognostic risk factors for in-hospital death using multivariate analysis in both the total population and in the subgroup of patients admitted in the intensive care unit (ICU). RESULTS: The study included 375 patients. The mortality rate was 26.4% (99/375) in the total population and 40% (27/67) in the ICU. Multivariate analysis identified older age (HR 1.05 [CI 1.03-1.07], P<0.0001) and male gender (HR 2.01 [1.31-3.07], P=0.0013) as main independent risk factors for in-hospital death in the total population. Metformin (HR 0.51 [0.34-0.78], P=0.0018) and renin-angiotensin-aldosterone system blockers (HR 0.56 [0.36-0.86], P=0.0088) use before admission were independent protective factors. In the ICU, chronic kidney disease (CKD) was identified as an independent risk factor for death (HR 4.96 [2.14-11.5], P<0.001). CONCLUSION: In-hospital mortality due to the first wave of COVID-19 pandemic in Belgium was high in patients with diabetes. We found that advanced age and male gender were independent risk factors for in-hospital death. We also showed that metformin use before admission was associated with a significant reduction of COVID-19-related in-hospital mortality. Finally, we showed that CKD is a COVID-19-related mortality risk factor in patients with diabetes admitted in the ICU.

Unsuspected diabetic ketoacidosis after myocardial infarction in a patient treated with SGLT2 inhibitor increased length of stay in the hospital: how can it be prevented? A case report.

Background: As the use of sodium-glucose co-transporter 2 inhibitors (SGLT2is) has expanded beyond glucose-lowering therapy in type 2 diabetes mellitus (T2DM), including chronic kidney disease and heart failure, there has also been an increase in reported cases of diabetic ketoacidosis (DKA) associated with SGLT2i. Case summary: A 77-year-old woman with T2DM presented to the emergency department with ST-segment elevation myocardial infarction (MI) complicated by atrial fibrillation. Her medications included empagliflozin, an SGLT2i, initiated for T2DM. Diabetic ketoacidosis was suspected on the basis of a large anion gap, despite a plasma glucose level below 200 mg/dL (11.1 mmol/L) and the absence of symptoms, including nausea and vomiting. Laboratory tests confirmed metabolic acidosis and high ketones. However, the diagnosis of euglycaemic DKA (eu-DKA) was delayed due to lack of symptoms and moderate hyperglycaemia. The patient was successfully treated according to DKA management guidelines. She was discharged on insulin, and SGLT2i was discontinued. Discussion: This is a case of asymptomatic eu-DKA after acute MI (AMI). We discuss the use of SGLT2is in AMI and arrhythmias from a review of the literature and the prophylaxis of eu-DKA. Regular monitoring of blood glucose and ketones should be performed in hospitalized T2DM patients treated with SGLT2i. The SGLT2i should be stopped as soon as possible in the event of critical illness or suspected DKA in the setting of an acute illness such as AMI. To help clinicians prevent this potentially fatal disease, we propose a flowchart for the prophylactic management of eu-DKA among inpatients.

Performance of glycated hemoglobin A1c for the diagnosis of gestational diabetes mellitus during the SARS-CoV-2 pandemic in Belgium (2020-2021).

OBJECTIVES: During the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, health care access was restricted. To reduce the risk of maternal SARS-CoV-2 infection, simplified screening recommendations for gestational diabetes mellitus (GDM) have been suggested, leading to glycated hemoglobin A1c (HbA1c) being proposed as an alternative to the oral glucose tolerance test (OGTT). This study aimed to assess the optimal HbA1c cutoff to confirm GDM diagnosis according to IADPSG/WHO2013 guidelines. METHODS: In this retrospective study, 3361 pregnancies were followed at the hospital of Mouscron and the Cliniques Universitaires St Luc in Brussels (2020-2021). GDM was universally screened in the third trimester of gestation. The ROC curve was used to evaluate the diagnostic performance of HbA1c with OGTT as the reference. Sensitivity, specificity and likelihood ratios for different HbA1c thresholds were calculated. RESULTS: In total, 312 women were selected due to HbA1c analysis in addition to OGTT, and 149 had GDM. The area under the ROC curve for GDM detection by HbA1c was 0.73 (95% CI 0.68-0.79, p < 0.0001). The cutoff value chosen as a possible threshold was HbA1c 5.5% (37 mmol/mol). The sensitivity, specificity, positive and negative likelihood ratios for this cutoff were 12.0%, 99.4%, 20 and 0.88, respectively. The Fagan nomogram test showed a posttest GDM probability of approximately 70%, corresponding to a 10-fold higher pretest probability. An HbA1c ≥ 5.5% (37 mmol/mol) would have avoided OGTT in 18% of women with GDM. These women with an HbA1c ≥ 5.5% had significantly higher rates of family history of diabetes, older age, higher BMI and higher blood glucose levels (fasting, 1 h and 2 h) at OGTT. CONCLUSION: Our results are consistent with the literature concerning the diagnostic ability of GDM through HbA1c ≥ 5.5%.

Intermittent-scanned continuous glucose monitoring with low glucose alarms decreases hypoglycemia incidence in middle-aged adults with type 1 diabetes in real-life setting.

OBJECTIVE: There is limited real-life data demonstrating that hypo-/hyperglycemic alarms added to continuous glucose monitoring (CGM) improve metabolic control in adults with type 1 diabetes (T1D). We evaluated the usefulness of switching from a flash or intermittent-scanned continuous glucose monitoring (is-CGM) device without low or higher glucose alarms to a is-CGM device with alarms to prevent hypoglycemia in adults with T1D. METHODS: Individuals with T1D and fearful of hypoglycemia, prone to hypoglycemia unawareness, and/or experiencing severe hypoglycemia while using is-CGM Free Style Libre 1 (FSL1) were switched to FSL2 with individually-programmable low glucose alarms. The primary endpoint was the changes in % time below range (TBR%) <70 mg/dl [3.9 mmol/l] and <54 mg/dl [3.0 mmol/l] after 12 weeks on FSL2 compared with FSL1. Secondary endpoints were changes in % time in range (TIR% 70-180 mg/dl [3.9-10.0 mmol/l]), % time above range (TAR%) >180 [10.0 mmol/l], mean interstitial glucose, glycemic management indicator (GMI), interstitial glucose coefficient of variation (CV%), hemoglobin A1c, and sensor's scans/day. RESULTS: We included 108 individuals (57.4 % men), aged 58.2 ± 17.3 [95 % CI: 55.0 to 61.5] years, with mean diabetes duration 25 ± 14.6 [95 % CI: 22.1 to 27.7] years. Among individuals, 40 (37.0 %) had hypoglycemia awareness with Clarke's score ≥4 and 19 (17.5 %) had a history of severe hypoglycemia. The median low glucose alarm threshold was 70 [IQR: 65-70] mg/dl (3.9 [IQR: 3.6-3.9] mmol/L). By comparison of first 12 weeks on FSL2 vs. last 12 weeks on FSL1, TBR% <70 mg/dl decreased from 4.5 ± 4.4 to 2.3 ± 2.8 % (p < 0.001), TBR% <54 mg/dl decreased from 1.4 ± 2.2 to 0.3 ± 0.9 % (p < 0.001). TIR% was not significantly different (51.5 ± 14.9 vs. 52.9 ± 16 % (p = 0.13)), nor was TAR% (43.8 ± 16.2 vs. 44.7 ± 16.5 % (p = 0.5)). CV% decreased from 39.4 ± 6.9 to 37.9 ± 6.1 % (p < 0.001). Those at risk for hypoglycemia (TBR >4 % and >1 %, respectively, at baseline) showed a significant decrease in the incidence of hypoglycemia <70 and <54 mg/dl (p < 0.0001). Patients' satisfaction with hypoglycemia alarms was high, since all individuals opted to pursue using individual alarm beyond the study period. CONCLUSION: Switching from FSL1 to FSL2 with low glucose alarms reduced the frequency of hypoglycemia in middle-age adults with T1D, particularly in those who were prone to hypoglycemia awareness or severe hypoglycemia.

Discordance Between Glycated Hemoglobin A1c and the Glucose Management Indicator in People With Diabetes and Chronic Kidney Disease.

INTRODUCTION: Assessment of glucose exposure via glycated hemoglobin A1c (HbA1c) has limitations for interpretation in individuals with diabetes and chronic kidney disease (CKD). The glucose management indicator (GMI) derived from continuous glucose monitoring (CGM) data could be an alternative. However, the concordance between HbA1c measured in laboratory and GMI (HbA1c-GMI) is uncertain in individuals with CKD. The purpose of this study is to analyze this discrepancy. MATERIAL AND METHOD: We performed a multicentric, retrospective, observational study. A group of individuals with diabetes and CKD (n = 170) was compared with a group of individuals with diabetes without CKD (n = 185). All individuals used an intermittently scanned continuous glucose monitoring (isCGM). A comparison of 14-day and 90-day glucose data recorded by the isCGM was performed to calculate GMI and the discordance between lab HbA1c and GMI was analyzed by a Bland-Altman method and linear regression. RESULTS: HbA1c-GMI discordance was significantly higher in the CKD group versus without CKD group (0.78 ± 0.57 [0.66-0.90] vs 0.59 ± 0.44 [0.50-0.66]%, P < .005). An absolute difference >0.5% was found in 68.2% of individuals with CKD versus 42.2% of individuals without CKD. We suggest a new specific formula to estimate HbA1c from the linear regression between HbA1c and mean glucose CGM, namely CKD-GMI = 0.0261 × 90-day mean glucose (mg/L) + 3.5579 (r2 = 0.59). CONCLUSIONS: HbA1c-GMI discordance is frequent and usually in favor of an HbA1c level higher than the GMI value, which can lead to errors in changes in glucose-lowering therapy, especially for individuals with CKD. This latter population should benefit from the CGM to measure their glucose exposure more precisely.

Evaluation of continuous glucose monitoring-derived person-specific HbA1c in the presence and absence of complications in type 1 diabetes.

AIM: To evaluate the accuracy of a novel kinetic model at predicting HbA1c in a real-world setting and to understand and explore the role of diabetes complications in altering the glucose-HbA1c relationship and the mechanisms involved. MATERIALS AND METHODS: Deidentified HbA1c and continuous glucose monitoring values were collected from 93 individuals with type 1 diabetes. Person-specific kinetic variables were used, including red blood cell (RBC) glucose uptake and lifespan, to characterize the relationship between glucose levels and HbA1c. The resulting calculated HbA1c (cHbA1c) was compared with glucose management indicator (GMI) for prospective agreement with laboratory HbA1c. RESULTS: The cohort (42 men and 51 women) had a median age (IQR) of 61 (43, 72) years and a diabetes duration of 21 (10, 33) years. A total of 24 459 days of continuous glucose monitoring (CGM) data were available and 357 laboratory HbA1c were used to assess the average glucose-HbA1c relationship. cHbA1c had a superior correlation with laboratory HbA1c compared with GMI with a mean absolute deviation of 1.7 and 6.7 mmol/mol, r2  = 0.85 and 0.44, respectively. The fraction within 10% of absolute relative deviation from laboratory HbA1c was 93% for cHbA1c and 63% for GMI. Macrovascular disease had no effect on the model's accuracy, whereas microvascular complications resulted in a trend towards higher HbA1c, secondary to increased RBC glucose uptake. CONCLUSIONS: cHbA1c, which takes into account RBC glucose uptake and lifespan, accurately reflects laboratory HbA1c in a real-world setting and can aid in the management of individuals with diabetes.

Evolution of maternal and neonatal outcomes before and after the adoption of the IADPSG/WHO guidelines in Belgium: A descriptive study of 444,228 pregnancies.

Objectives: To appraise adverse pregnancy outcomes after the adoption of IADPSG/WHO guidelines in Belgium. Methods: A retrospective study of the Center for Perinatal Epidemiology registry was conducted. Demographic changes and adverse pregnancy outcomes were compared between a pre- and post-guideline period in women with and without hyperglycemia in pregnancy (HIP). Adjusted odds ratios with a 95% confidence interval (CI) were used to compare maternal and neonatal outcomes controlling for potential confounders (maternal age, body mass index (BMI), hypertension, parity, and multiple births). Results: The prevalence of HIP increased (6.0%-9.2%). In the overall population regardless of glycemic status, gestational weight gain (12.3 ± 5.7 vs 11.9 ± 5.8; p < 0.001), hypertension (0.92; 95% CI, 0.89-0.94; p < 0.001), and neonatal intensive care unit/special care nursery (0.89; 95% CI, 0.87-0.91; p < 0.001) decreased despite increasing maternal age and pre-pregnancy BMI. Emergency cesarean section rates (1.07; 95% CI, 1.05-1.09; p < 0.001) increased, but not in the HIP population (1.02; 95% CI, 0.95-1.10; ns). The overall incidence of preterm birth (1.09; 95% CI, 1.06-1.12; p < 0.001), stillbirth (1.10; 95% CI, 1.01-1.21; p < 0.05), and perinatal mortality (1.10; 95% CI, 1.01-1.19; p < 0.05) increased, except in the HIP population (1.03; 95% CI, 0.95-1.11; ns), (1.04; 95% CI, 0.74-1.47; ns) and (1.09; 95% CI, 0.80-1.49; ns), respectively. The overall incidence of small- for-gestational-age remained unchanged (0.99; 95%CI, 0.97-1.01; ns) regardless of glycemic status. In the HIP population, large-for-gestational age (0.90; 95% CI, 0.84-0.95; p < 0.001) and macrosomia (0.84; 95% CI, 0.78-0.92; p < 0.001) decreased. Conclusion: After the implementation of IADPSG/WHO guidelines, the prevalence of HIP increased by 53.7% and the incidence of major HIP-related pregnancy complications appears to be lower. However, we cannot conclude that the reduction of LGA-macrosomia is due to a better management of diabetes or due to greater recruitment of women with mild HIP associated with a lower risk of obstetrical complications.

Euglycemic diabetic ketoacidosis in a patient with type 1 diabetes and SARS-CoV-2 pneumonia: case-report and review of the literature.

OBJECTIVE: Recent publications on Coronavirus Disease-2019 (COVID-19) report that diabetic people with or without co-morbidities are at higher risk of developing severe and/or fatal illnesses. METHOD AND RESULT: We report the first case of a 60-year-old man with a 27-year history of type 1 diabetes mellitus, infected by SARS-CoV-2 presenting with an euglycaemic ketoacidosis and an acute respiratory distress syndrome. CONCLUSION: This case report reminds us of the importance of adjusting more recent glucose-lowering drugs, including sodium-glucose cotransporter 2 inhibitors, in the overall management of type 1 diabetic individuals during the ongoing COVID-19 outbreak. ABBREVIATIONS: COVID-19: Coronavirus disease 2019 (SARS-CoV-2) virus, T1DM: Type 1 diabetes mellitus, T2DM: Type 2 diabetes mellitus, SGLT2i: Sodium-glucose cotransporter 2 inhibitor, DKA: diabetic ketoacidosis, euDKA: euglycaemic diabetic ketoacidosis.

[Gestational diabetes mellitus : what after delivery ?] / Diabète gestationnel : et après ?

Gestational diabetes mellitus (GDM) occurs in an increasing number of pregnancies. Due to its disappearance after delivery, GDM can be underestimated despite description of many risks for mothers and offsprings later in life. These women are at higher risk for metabolic abnormalities and cardiovascular disease. Overweight/obesity, metabolic disturbances, cardiovascular complications and lower cognitive abilities are more frequent in offsprings. These two populations need an early and adequate prevention of metabolic and cardiovascular disorder from a public health point of view. Lifestyle (healthy diet and exercise) is the best advice to promote in these families. For these women with previous DG, breast-feeding as long as possible and metformin may also be part of the management.

Le diabète gestationnel (DG) complique un nombre croissant de grossesses. Parfois banalisé en raison de sa fréquente disparition après l'accouchement, le DG expose pourtant les mères et leur progéniture à des risques non négligeables dans leur vie. Les mamans ayant présenté un DG sont à plus haut risque sur les plans métabolique et cardiovasculaire. Parallèlement, les enfants présentent des risques accrus sur les plans pondéral, métabolique et cardiovasculaire ainsi que d'éventuels troubles cognitifs. Identifier ces deux populations et leurs risques respectifs est une mesure importante en termes de santé publique. Une bonne hygiène de vie est le meilleur conseil à prodiguer à ces familles tout au long de leur vie. L'allaitement prolongé et la metformine peuvent également être suggérés comme éléments protecteurs sur le plan métabolique.

Effect of an Integrated, Multidisciplinary Nationwide Approach to Type 1 Diabetes Care on Metabolic Outcomes: An Observational Real-World Study.

Objective: Achieving good metabolic control in people with type 1 diabetes (T1D) remains a challenge, despite the evolutions in diabetes technologies over the past decade. Here we investigate the evolution of metabolic control in people with T1D, where care is provided by specialized centers with access to technology, diabetes education, and regular follow-up. Methods: Data were cross-sectionally collected between 2010 and 2018 from more than 100 centers in Belgium. The evolutions over time of hemoglobin A1C (HbA1c), low-density lipoprotein (LDL) cholesterol, and systolic blood pressure (SBP) were investigated, together with the evolutions of use of insulin pump (continuous subcutaneous insulin infusion [CSII]), continuous glucose monitoring (CGM), and lipid-lowering and antihypertensive drugs. Association of HbA1c with gender, age, diabetes duration, and technology use was analyzed on the most recent cohort. Results: The study population contained data from 89,834 people with T1D (age 1-80 years). Mean HbA1c decreased from 65 mmol/mol (8.1%) in 2010-2011 to 61 mmol/mol (7.7%) in 2017-2018 (P < 0.0001, adjusted for gender, age, diabetes duration, and technology use). Respectively, mean LDL cholesterol decreased from 2.45 mmol/L (94.6 mg/dL) to 2.29 mmol/L (88.5 mg/dL) (P < 0.0001, adjusted for gender, age, and diabetes duration), and mean SBP remained stable. CGM usage increased, whereas the use of CSII and lipid-lowering and antihypertensive drugs remained stable. Gender, age, diabetes duration, and technology use were independently associated with HbA1c. Conclusions: Our real-world data show that metabolic and lipid control improved over time in a system where T1D care is organized through specialized multidisciplinary centers with emphasis on linking education to provision of technology, and its quality is monitored.

"Mind the gap please ": estimated vs. measured A1c from continuous measurement of interstitial glucose over a 3-month period in patients with type 1 diabetes.

Introduction: Glycated hemoglobin (A1c) is the measurement of choice to estimate the glycemic exposure over the last 3 months prior to sampling. The Free Style Libre® is a continuous glucose monitoring device which provides an estimated A1c (eA1c) from average interstitial glucose using Nathan's ADAG equation. The objective of this study was to compare eA1c and A1c in type 1 diabetes patients (T1D) over a period of 3 months.Materials and methods: Data were collected from patient charts between July 2016 and October 2017. 3-months recordings with >70% of data available were analyzed. eA1c was recorded at each visit and the corresponding A1c value measured by high performance liquid chromatography in a single reference lab.Results: A total of 344 reports from 170 T1D were studied, 3 categories were identified: eA1c = A1c: 13% of reports. eA1c > A1c: 57% of reports, positive difference (eA1c - A1c) of +0.74 ± 0.5% (P < 0.0001). eA1c < A1c: 30% of reports, negative difference (eA1c - A1c) of -0.5 ± 0.3% (P < 0.0001).Conclusion: eA1c value was generally overestimated compared to measured A1c in this T1D cohort. This lesser concordance may result from differences in measured glucose source and/or frequency to calculate eA1c compared to ADAG, but also from using the reverse equation which is a source of potential bias. Another explanation could be a different rate of hypoglycemia between groups, or an asymmetric distribution of A1c patients' phenotypes with differential hyper- or hypoglycation intrinsic propensity.

Outcomes of glycemic control in type 1 diabetic patients switched from basal insulin glargine 100 U/ml to glargine 300 U/ml in real life.

AIMS: The objective of this study was to evaluate glycemic control in type 1 diabetic mellitus patients who were switched from glargine 100 U/ml (Gla-100) to glargine 300 U/ml (Gla-300) in real life practice. METHODS: Glycemia based on self-monitoring capillary blood glucose, hypoglycemic events and insulin doses were considered during a two-week period before and after transition from Gla-100 to Gla-300 (period 1). Glycated hemoglobin A1c (HbA1c) levels, basal insulin doses and weight were also determined at 12 and 24 weeks after switching (period 2). RESULTS: 116 patients treated with a basal prandial insulin scheme were included. 72% received one injection and 28% two daily injections of Gla-100 before transition to Gla-300. Glycemic control was similar during period 1 . In contrast, the number of nocturnal hypoglycemic events were significantly reduced [22.2% vs 12.2%; relative risk 0.46 (95% CI 0.30 - 0.68); p < 0.0001], as well as the number of patients with nocturnal hypoglycemia per period [30% vs 16%; relative risk 0.53 (95% CI 0.31-0.86); p < 0.01]. At the end of period 2, HbA1c decreased from 8.0 ± 1.0% (65.5 ± 10.5 mmol/mol) to 7.9 ± 1.0% (62.8 ± 10 mmol/mol) (p = 0.03). Insulin doses of Gla-300 were increased in patients treated previously with Gla-100 (+6.5%), but no weight gain was observed. CONCLUSION: Short term glycemic control was comparable in patients treated with basal insulin Gla-100 or Gla-300 injection. Nocturnal hypoglycemic rate declined quickly after the switch. HbA1c was reduced after six months of Gla-300 treatment versus baseline. Gla-300 doses were moderately higher (vs Gla-100), in particular, in patients treated with one Gla-100 dose before switching. Gla-300 is an alternative therapeutic option of interest.

Cerebral germinoma revealed through a polydipsic polyuric syndrome in a 10-year-old girl: case report.

Cerebral germinoma is rare. Although the imaging of the germinoma is very evocative, it's very polymorphic clinical expression is at the origin of misguided diagnosis, as illustrated in our case. We report the case of a 10-year-old girl with diabetes insipidus evolving for 12 months associated with a decrease in visual acuity. Brain MRI (Magnetic Resonance Imaging) revealed a tumor process in the suprasellar region. The stereotaxic biopsy of the tumor confirmed the diagnosis of the hypothalamic germinoma, which allowed the patient to be treated by radiotherapy and chemotherapy. The incidence of cerebral germinoma, its clinical (principally diabetes insipidus) and radiological features as well as therapeutic strategies are discussed hereby.

Can an electronic glycaemic notebook associated with an insulin calculator improve HbA1c in diabetic patients on a multiple insulin injections regimen? A 26-week observational real-life study.

BACKGROUND: Automated insulin calculators (AICs) with carbohydrate counting (CHC) have been shown to be effective in improving glycated haemoglobin (HbA1c) levels. By contrast, use of AICs without CHC, with predetermined prandial insulin doses modified according to a correction factor and modulated as a function of glycaemia, has not yet been investigated. METHODS: This comparative, retrospective, observational and non-randomized study took place over a 6-month period of routine clinical practice. It evaluated the use of Free-style InsuLinx® and Free-style Neo® Abbott Diabetes Care (AIC) in easy mode (no CHC). All patients performed a basal-prandial insulin dosing schedule, and were not educated as to how to determine carbohydrate intake. Changes in HbA1c and capillary blood glucose levels, insulin therapy, frequency of blood glucose tests and body weight were analyzed 6 months prior to inclusion (T-6), at the time of inclusion (T0) and 6 months later (T+6). From T-6 to T0 (period A), patients used a standard blood glucose meter and adjusted their insulin doses themselves, and from T0 to T+6 (period B), each patient was provided with an AIC on easy mode function. RESULTS: Of the 230 patients, 221 were retained at the end of the study (126 type 1 diabetes mellitus (T1DM) and 95 type 2 diabetes mellitus (T2DM)). At T-6, average (±standard error of mean) HbA1c level was 8.3 ± 0.1%; T1DM: 8.5 ± 0.1% and T2DM: 8.0 ± 0.1%, respectively. At T0, the average HbA1c level was 8.4 ± 0.1% (p = 0.02); T1DM: 8.5 ± 0.1% (ns) and T2DM: 8.2 ± 0.1% (p = 0.004). At T+6, with AIC in easy mode, average HbA1c level decreased significantly to 7.7 ± 0.1% (p < 0.0001); T1DM: 8.0 ± 0.1% (p < 0.0001) and T2DM: 7.5 ± 0.1% (p < 0.0001). At T+6, in all diabetics, blood glucose monitoring frequency increased by 0.4/day (p < 0.0001). Insulin correction amounted to 14% of changes in predetermined prandial insulin doses. CONCLUSION: Routine clinical use of an AIC without CHC improved self-management of blood glucose and on average, decreased HbA1c levels by 0.52% in T1DM and 0.80% in T2DM after 6 months.

Nodular sclerosing Hodgkin's disease mimicking Riedel's invasive fibrous thyroiditis.

Riedel's thyroiditis appears in the form of a hard cervical mass with rapid onset, and it is associated with extensive fibrosis that compresses nearby structures, such as the trachea and supra-aortic vessels; its diagnosis is essentially histopathological. Although its histological characteristics have been well established, there are some diagnostic pitfalls. We report here the case of a 37-year-old woman, with clinical and histopathological data suggesting Riedel's disease. Fibrosis regressed after treatment with corticosteroids, relieving the compressed airways. However, in contrast with the latest knowledge on this disease, the IgG4 serum levels were consistently normal, and positron emission tomography in search of extensive fibrosis revealed an abnormal metabolic activity of the bone marrow. The final diagnosis revised by the histopathologist was that of nodular sclerosing Hodgkin's lymphoma. This case allows us to review the diagnostic approach when facing a thyroid mass with extremely rapid evolution.