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AIMS: To assess the effects of lockdown due to COVID-19 pandemic on glucose metrics, measured by glucose monitoring systems, in adult individuals with type 1 diabetes. METHODS: We conducted a systematic literature search for English language articles from MEDLINE, Scopus and Web of Science up to February 28, 2021, using "diabetes", "lockdown", and "glucose" as key search terms. Time in range (TIR) was the main outcome; other metrics were time above range (TAR), time below range (TBR), mean blood glucose (MBG) and its variability (%CV), estimated HbA1c (eA1c) or glucose management indicator (GMI). RESULTS: Seventeen studies for a total of 3,441 individuals with type 1 diabetes were included in the analysis. In the lockdown period, TIR 70-180 mg/dl increased by 3.05% (95% CI 1.67-4.43%; p < 0.0001) while TAR (>180 mg/dL and > 250 mg/dL) declined by 3.39% (-5.14 to -1.63%) and 1.96% (-2.51 to -1.42%), respectively (p < 0.0001 for both). Both TBR < 70 and <54 mg/dL remained unchanged. MBG slightly decreased by 5.40 mg/dL (-7.29 to -3.51 mg/dL; p < 0.0001) along with a reduction in %CV. Pooled eA1c and GMI decreased by 0.18% (-0.24 to -0.11%; p < 0.0001) and a similar reduction was observed when GMI alone was considered (0.15%, -0.23 to -0.07%; p < 0.0001). Sensor use was only slightly but not significantly reduced during lockdown. CONCLUSIONS: This meta-analysis shows that well-controlled people with type 1 diabetes on both MDI and CSII with continuous or flash glucose monitoring did not experience a deterioration in glucose control throughout the COVID-19 lockdown, showing a modest, though statistically significant improvement in many glucose control parameters.
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COVID-19 , Diabetes Mellitus Tipo 1 , Adulto , Glucemia , Automonitorización de la Glucosa Sanguínea , Control de Enfermedades Transmisibles , Diabetes Mellitus Tipo 1/tratamiento farmacológico , Diabetes Mellitus Tipo 1/epidemiología , Control Glucémico , Humanos , Pandemias , SARS-CoV-2RESUMEN
AIMS: The aim of this study was to evaluate the effect the lockdown imposed during COVID-19 outbreak on the glycemic control of people with Type 1 diabetes (T1D) using Continuous (CGM) or Flash Glucose Monitoring (FGM). MATERIALS AND METHODS: We retrospectively analyzed glucose reading obtained by FGM or CGM in T1D subjects. Sensor data from 2 weeks before the lockdown (Period 0, P0), 2 weeks immediately after the lockdown (period 1, P1), in mid-lockdown (Period 2, P2) and immediately after end of lockdown (Period 3, P3) were analyzed. RESULTS: The study included 63 T1D patients, (FGM: 52, 82%; CGM:11, 18%). Sensor use (91%) were slightly reduced. Despite this reduction, Time in Range increased in P1 (62%), P2 (61%) and P3 (62%) as compared to P0 (58%, all p < 0.05 or less) with concomitant reduction in the Time Above Range (P0: 38%; P1: 34%, P2: 34%, P3: 32%, all p < 0.05 or less vs. P0). Average glucose and GMI improved achieving statistical difference in P3 (165 vs. 158 mg/dl, p = 0.040 and 7.2% (55 mmol/mol) vs. 7.0% (53 mmol/mol), p = 0.016) compared to P0. Time Below Range (TBR) and overall glucose variability remained unchanged. Bi-hourly analysis of glucose profile showed an improvement particularly in the early morning hours. CONCLUSIONS: In T1D subjects with good glycemic control on CGM or FGM, the lockdown had no negative impact. Rather a modest but significant improvement in glycemic control has been recorded, most likely reflecting more regular daily life activities and reduces work-related distress.
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COVID-19/complicaciones , Diabetes Mellitus Tipo 1/complicaciones , SARS-CoV-2/patogenicidad , Adulto , Femenino , Humanos , Masculino , Estudios RetrospectivosRESUMEN
BACKGROUND: The pathogenesis of the extrathyroidal manifestations of Graves' disease (GD) is not fully clarified. According to the most common hypothesis, they would reflect an autoimmune reaction against antigens constitutively expressed by the thyroid and by the extrathyroidal affected tissues. According to another hypothesis, the so-called Kriss' hypothesis, soluble autoantigens released from the thyroid would reach the affected tissues, where they would become the target of the immune system. In this regard, a shift in gravity during sleep may favour antigen deposition. CASE REPORT: A 59-year old man with GD came to our observation because of a dermopathy. He had been treated with radioactive iodine for Graves' hyperthyroidism and with glucocorticoids and orbital decompression for a bilateral Graves' orbitopathy (GO). The patient complained of a monolateral, untreated dermopathy, affecting the left leg and hand. At physical examination the skin of the left pretibial area and of the dorsal surface of the left hand appeared red and thickened, with an orange peel aspect. Interestingly, the patient reported that he usually slept laying on the left side of his body. DISCUSSION: The observation of a patient with a monolateral dermopathy somehow reports to the Kriss' hypothesis, especially in view of the patient's habit of sleeping on the same side as dermopathy was present. Of course, this does not represent a proof that the Kriss' hypothesis is correct, but it carries an element in favour of it. The fact that GO was bilateral is somehow against it, but does not exclude this possibility.
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Freestyle Libre (FSL) system is a new method to detect glucose enabling a new paradigm in glucose monitoring and self-management. The sensor, reading the interstitial fluid glucose concentration, provides a numerical data of glucose level and a trend arrow that add context to static measurement of glucose level. Therefore, patients could easily follow the progression of their glucose levels over the time, allowing early detection and timely treatment of deviations from targeted glucose level range, thus preventing extreme fluctuations. In order to take full advantage of the system both the caregiver and the person with diabetes must appreciate the need of careful interpretation of the data generated by the FSL. To this purpose we have generated recommendations that are based on methods suggested for CGM, our clinical experience and discussion with experienced patients using FSL, to provide a pragmatic approach to use FSL trend arrow data for managing diabetes in adults.