Performance of Tandem Control IQ During Outdoor Physical Activity in Children and Adolescents with Type 1 Diabetes.

Background: Few data are available in children with type 1 diabetes using automated insulin delivery systems during physical activity (PA). We evaluated the time in range (TIR) during 2-h of outdoor PA in children using t:slim X2 with Control-IQ® technology. Materials and Methods: Caucasian children and adolescents, aged 9-18 years using t:slim X2 with Control-IQ technology were recruited during a local sporting event. Participants were divided into two groups: Group A practiced endurance activities for 60 min (1000-meter run, a jump circuit) and then power activities for 60 min (80-meter run, long jump); Group B practiced power activities for 60 min and then followed by endurance activities for 60 min. Ninety minutes before the PA, participants had lunch and self-administered a low-dose insulin, reduced by 50% compared to their regularly calculated meal dose per pump calculator. DexcomG6® data were downloaded. Results: Twenty-six children were recruited, 2 refused PA. Participants were divided as follows: 13 in Group A (7 males, median age 14.6 years) and 11 in Group B (8 males, median age 13.5 year). The mean glucose level when PA started was similar between groups (P = 0.06). Subjects in Group B showed a higher TIR than those in Group A ([50.4%, 95% confidence interval, CI: 33.8-75] vs. 39.6% [95% CI: 26.9-58.3], respectively [P = 0.39]). A significantly better TIR in Group B (53.8%, 95% CI: 30.2-96.1) compared to Group A (17.4%, 95% CI: 7.3-41.7, P = 0.02) was recorded during the first session. During the second session, TIR increased in both groups. There were no episodes of serious or severe hypoglycemia. Conclusions: No serious or severe hypoglycemic episodes were recorded during PA performed 90 min after lunch. Future studies using t:slim X2 with Control-IQ technology are necessary.

Corrigendum: The silent epidemic of diabetic ketoacidosis at diagnosis of type 1 diabetes in children and adolescents in italy during the covid-19 pandemic in 2020.

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The Silent Epidemic of Diabetic Ketoacidosis at Diagnosis of Type 1 Diabetes in Children and Adolescents in Italy During the COVID-19 Pandemic in 2020.

Aim/Hypothesis: To compare the frequency of diabetic ketoacidosis (DKA) at diagnosis of type 1 diabetes in Italy during the COVID-19 pandemic in 2020 with the frequency of DKA during 2017-2019. Methods: Forty-seven pediatric diabetes centers caring for >90% of young people with diabetes in Italy recruited 4,237 newly diagnosed children with type 1 diabetes between 2017 and 2020 in a longitudinal study. Four subperiods in 2020 were defined based on government-imposed containment measures for COVID-19, and the frequencies of DKA and severe DKA compared with the same periods in 2017-2019. Results: Overall, the frequency of DKA increased from 35.7% (95%CI, 33.5-36.9) in 2017-2019 to 39.6% (95%CI, 36.7-42.4) in 2020 (p=0.008), while the frequency of severe DKA increased from 10.4% in 2017-2019 (95%CI, 9.4-11.5) to 14.2% in 2020 (95%CI, 12.3-16.4, p<0.001). DKA and severe DKA increased during the early pandemic period by 10.4% (p=0.004) and 8% (p=0.002), respectively, and the increase continued throughout 2020. Immigrant background increased and high household income decreased the probability of presenting with DKA (OR: 1.55; 95%CI, 1.24-1.94; p<0.001 and OR: 0.60; 95 CI, 0.41-0.88; p=0.010, respectively). Conclusions/Interpretation: There was an increase in the frequency of DKA and severe DKA in children newly diagnosed with type 1 diabetes during the COVID-19 pandemic in 2020, with no apparent association with the severity of COVID-19 infection severity or containment measures. There has been a silent outbreak of DKA in children during the pandemic, and preventive action is required to prevent this phenomenon in the event of further generalized lockdowns or future outbreaks.

Type 1 diabetes onset in Lombardy region, Italy, during the COVID-19 pandemic: The double-wave occurrence.

BACKGROUND: The Italian Lombardy region has been the epicenter of COVID-19 since February 2020. This study analyses the epidemiology of pediatric type 1 diabetes (T1D) onset during the first two pandemic waves and three previous years. METHODS: All the 13 pediatric diabetes centers in Lombardy prospectively evaluated charts of children at T1D onset (0-17 years), during year 2020. After calculating the annual incidence, the data were compared with those of the 3 previous years, using generalized linear models, adjusted for age and sex. Monthly T1D new onsets and diabetic ketoacidosis (DKA) were investigated yearly from 2017 to 2020. Data were extracted from outpatients charts of the pediatric diabetes centers and from the database of the national institute of statistics. FINDINGS: The estimated incidence proportion of T1D was 16/100·000 in 2020, compared to 14, 11 and 12 in 2019, 2018 and 2017, respectively. When adjusting for age and gender, the incidence was significantly lower in 2018 and 2017 compared to 2020 (adjusted incidence ratio: 0.73 and 0.77 respectively, with 95% CI: 0.63 to 0.84, and 0.67 to 0.83; p = 0·002 and p = 0·01), but no difference was found between the years 2020 and 2019. A reduction trend in the percentage of T1D diagnosis during the first wave (March-April) over the total year diagnoses was observed compared to previous years (11·7% in 2020, 17·7% in 2019, 14·1% in 2018 and 14·4% 2017). No difference was observed during the second wave (October-December) (32·8% in 2020, 33·8% in 2019, 34% in 2018, 30·7% in 2017). The proportion of DKA over the total T1D diagnoses during the second wave had higher trend than the first one (41·7% vs 33·3%), while severe DKA over the total DKA appeared higher during the first wave (60% vs 37·1%). INTERPRETATION: The study suggests an increase in the incidence of pediatric T1D in Lombardy throughout the past five years. Pandemic waves may have affected the clinical presentation at onset. FUNDING: None.

Clinical presentation of McCune-Albright syndrome in males.

UNLABELLED: The aims of this study were: (a) to survey gender prevalence and clinical findings at diagnosis in a series of patients who manifested at the time of this study the classical triad of McCune-Albright syndrome (MAS); (b) to investigate whether clinical presentation of MAS in boys may be different from that in girls; (c) to confirm whether boys with MAS may show a peculiar picture of testicular microlithiasis (TM) by testicular ultrasonography (US). Twenty-six patients (10 boys) with the classical clinical manifestations of MAS were recruited for the present study from the database of the Italian Multicenter Study Group on MAS. Age at diagnosis of MAS was significantly lower in girls than in boys (p < 0.025). Whilst there was no difference in the prevalence of skin and bone fibrous dysplasia for the two groups, a significantly higher prevalence of peripheral precocious puberty (PPP) was found in girls (chi2 = 6.5, p < 0.025). Moreover, PPP onset was earlier in females than in males (2.8 +/- 2.3 vs. 6.9 +/- 2.7 years, p < 0.005). In one boy, aged 2.9 years, the first clinical manifestation of MAS was monolateral testicular enlargement in the context of a picture of classical PPP. US scanning of the testes, at the time of the present study, showed bilateral hyperechogeneic multiple spots, compatible with diagnosis of TM, in 6/10 boys. CONCLUSIONS: (a) MAS is slightly more frequent in females. (b) PPP in MAS is significantly more frequent and earlier in girls. (c) PPP in boys with MAS is generally associated with bilateral testicular enlargement, but monolateral macroorchidism may also be seen. (d) TM may be another marker for MAS in males.

Identification and quantification of homologous series of compound in complex mixtures: autocovariance study of GC/MS chromatograms.

The paper describes a method for determining homologous classes of compounds in a multicomponent complex chromatogram obtained under programming elution conditions. The method is based on the computation of the autocovariance function of the experimental chromatogram (EACVF). The EACVF plot, if properly interpreted, can be regarded as a "class chromatogram" i.e., a virtual chromatogram formed by peaks whose positions and heights allow identification and quantification of the different homologous series, even if they are embedded in a random complex chromatogram. Theoretical models were developed to describe complex chromatograms displaying random retention pattern, ordered sequences or a combination of them. On the basis of theoretical autocovariance function, the properties of the chromatogram can be experimentally evaluated, under well-defined conditions: in particular, the two components of the chromatogram, ordered and random, can be identified. Moreover, the total number of single components (SCs) and the separated number of the SCs belonging to the random and ordered components can be determined, when the two components display the same concentration. If the mixture contains several homologous series with common frequency and different phase values, the number and identity of the different homologous series as well as the number of SCs belonging to each of them can be evaluated. Moreover, the power of the EACVF method can be magnified by applying it to the single ion monitoring (SIM) signals to selectively detect specific compound classes in order to identify the different homologous series. By this way, a full "decoding" of the complex multicomponent chromatogram is achieved. The method was validated on synthetic mixtures containing known amount of SCs belonging to homologous series of hydrocarbon, alcohols, ketones, and aromatic compounds in addition to other not structurally related SCs. The method was applied to both the total ion monitoring (TIC) and the SIM signals, to describe step by step the essence of the procedure. Moreover, the systematic use of both SIM and TIC can simplify the decoding procedure of complex chromatograms by singling out only specific compound classes or by confirming the identification of the different homologous series. The method was further applied to a sample containing unknown number of compounds and homologous series (a petroleum benzin, bp 140-160 degrees C): the results obtained were meaningful in terms of both the identified number of components and identified homologous series.

GC-MS in space research: decoding complex isothermal chromatograms recovered from space missions.

An analytical procedure is described to study GC-MS isothermal chromatograms simulating those recovered from space missions: in fact GC plays a predominant role in space missions devoted to characterizing the chemical composition of extra-terrestrial atmospheres. SIM (selected ion monitoring) detection was used for monitoring selected chemical classes: a simplified chromatogram can be obtained giving information on the chemical composition of the complex mixture. Since only isothermal GC chromatograms are allowed by flight constraints, a time axis transformation is required to make them homogeneous: i.e., constant retention increments for CH2 additions in terms of a homologous series. The order in the linearized chromatogram can be simply singled out with a chemometric approach based on the study of the Autocovariance Function (ACVF) computed on the digitized chromatogram: the plot of the experimental autocorrelation function (EACF) shows well-shaped peaks if constant interdistances are repeated in different regions of the chromatogram. The method was applied to standard mixtures representative of planetary atmospheres--hydrocarbons, nitriles and oxygenated compounds with between 3 and 12 carbon atoms--analyzed in flight simulating conditions. The coupling of the selectivity of SIM detection with the interpretation power of the EACF procedure proves to be a powerful tool for interpreting data recovered from space missions: the chemical composition of the mixture can be identified by handling the raw SIM chromatograms.