Maintaining a gluten-free diet is associated with quality of life in youths with type 1 diabetes and celiac disease.

AIM: Conflicting findings have been reported on whether in youths, the double diagnosis of type 1 diabetes (T1D) and celiac disease (CD) substantially impacts quality of life QoL, compared to subjects with T1D only. METHODS: In this study, 86 youths with double diagnosis and their parents were compared to 167 subjects with T1D only. QoL was assessed through the KINDL questionnaire. Anti-tissue transglutaminase antibodies and dietary interviews evaluated the degree of maintaining a gluten-free diet (GFD). RESULTS: We found that having CD in addition to T1D has little effect on overall QoL. However, analysis of the degree of maintaining GFD revealed significantly lower total QoL scores in groups with T1D + CD not strictly maintaining GFD compared to T1D only (p = 0.0014). The multivariable linear regression model confirmed the importance of maintaining GFD on QoL in subjects (p = 0.0066) and parents (p = 0.023). CONCLUSION: The coexistence of T1D and CD and the adoption of a GFD resulted in poor QoL levels, as in youth as in their parents, when difficulties implementing the GFD are present. Psychological support should consider the importance of maintaining GFD not only to prevent potential complications in the future but also to improve actual QoL in different subdomains.

Sustained Effectiveness of an Advanced Hybrid Closed-Loop System in a Cohort of Children and Adolescents With Type 1 Diabetes: A 1-Year Real-World Study.

OBJECTIVE: To investigate glucose metrics and identify potential predictors of the achievement of glycemic outcomes in children and adolescents during their first 12 months of MiniMed 780G use. RESEARCH DESIGN AND METHODS: This multicenter, longitudinal, real-world study recruited 368 children and adolescents with type 1 diabetes (T1D) starting SmartGuard technology between June 2020 and June 2022. Ambulatory glucose profile data were collected during a 15-day run-in period (baseline), 2 weeks after automatic mode activation, and every 3 months. The influence of covariates on glycemic outcomes after 1 year of MiniMed 780G use was assessed. RESULTS: After 15 days of automatic mode use, all glucose metrics improved compared with baseline (P < 0.001), except for time below range (P = 0.113) and coefficient of variation (P = 0.330). After 1 year, time in range (TIR) remained significantly higher than at baseline (75.3% vs. 62.8%, P < 0.001). The mean glycated hemoglobin (HbA1c) over the study duration was lower than the previous year (6.9 ± 0.6% vs. 7.4 ± 0.9%, P < 0.001). Time spent in tight range (70-140 mg/dL) was 51.1%, and the glycemia risk index was 27.6. Higher TIR levels were associated with a reduced number of automatic correction boluses (P < 0.001), fewer SmartGuard exits (P = 0.021), and longer time in automatic mode (P = 0.030). Individuals with baseline HbA1c >8% showed more relevant improvement in TIR levels (from 54.3% to 72.3%). CONCLUSIONS: Our study highlights the sustained effectiveness of MiniMed 780G among youth with T1D. Findings suggest that even children and adolescents with low therapeutic engagement may benefit from SmartGuard technology.

Glucometrics and device satisfaction in children and adolescents with type 1 diabetes using different treatment modalities: A multicenter real-world observational study.

AIMS: To analyze metabolic outcomes, diabetes impact and device satisfaction in children and adolescents with type 1 diabetes in Italy who used different treatment modalities for diabetes care in a real-life context. METHODS: In this multicenter, nationwide, cross-sectional study, 1464 participants were enrolled at a routine visit. The following treatment modalities were considered MDI + SMBG; MDI + CGM; Sensor Augmented Pump Therapy; predictive management of low glucose; Hybrid Closed Loop (HCL); Advanced Hybrid Closed Loop (AHCL). Health related quality of life was evaluated by the Italian version of the Diabetes Impact and Device Satisfaction Scale (DIDS) questionnaire. RESULTS: Patients treated with AID systems were more likely to have HbA1c ≤ 6.5 %, higher percentage of time with glucose levels between 70 and 180 mg/dL, lower percentage of time with glucose levels above 180 mg/dL, higher device satisfaction, and reduced impact of diabetes. All the therapeutic modalities with respect to MDI + CGM, except for MDI + SMBG, contributed to increase the device satisfaction. HCL and AHCL respect to MDI + CGM were associated with lower diabetes impact. CONCLUSION: Real-life use of automated insulin delivery systems is associated with reduced type 1 diabetes impact, increased device satisfaction, and achievement of glycemic goals.

The role of sex on the prevalence of cardiovascular risk factors in children and adolescents with Type 1 diabetes: The SWEET international database.

OBJECTIVE: To assess the prevalence of cardiovascular risk factors (CVRFs) in children and adolescents with type 1 diabetes (T1D) in the International SWEET registry and the possible role of clinical variables in modifying the risk of having single or multiple CVRFs. STUDY DESIGN: The study is a cross-sectional study. Cut-off points for CVRFs were fixed according to International Society for Pediatric and Adolescent Diabetes (ISPAD) guidelines and WHO parameters: LDL cholesterol (LDL-C) > 100 mg/dL; Systolic Blood Pressure (BP-SDS) > 90th percentile for sex, age, and height; BMI-SDS > 2SD for sex and age. Logistic regression models were applied to evaluate variables associated with at least 1 or 2 CVRFs among registry children and adolescents. RESULTS: 29,649 individuals with T1D (6-18 years, T1D ≥ 2 years) participating in the SWEET prospective multicenter diabetes registry were included. In the cohort, 41 % had one or more CVRFs, and 10 % had two or more CVRFs. Thirty-five percent of enrolled individuals had LDL-C > 100 mg/dL, 26 % had BMI-SDS > 2SD, and 17 % had Systolic BP-SDS > 90th percentile. Females had higher frequency than males of having 1 or 2 CVRFs (45.1 % vs 37.4 %, 11.8 % vs 7.8 %; p < 0.001). Multivariable logistic regression models showed that sex (female), HbA1c category (>7.0 %), and age (>10 years) were associated with a higher chance of having at least 1 or 2 CVRFs (p < 0.001). CONCLUSIONS: In children and adolescents with T1D, female sex, in addition to HbA1c above 7 %, and older age (>10 years) was associated with a higher risk of having at least a CVRF (LDL-C, BMI-SDS, BP) according to internationally defined cut-offs.

Satisfaction with continuous glucose monitoring is associated with quality of life in young people with type 1 diabetes regardless of metabolic control and treatment type.

AIMS: While continuous glucose monitoring (CGM) and associated technologies have positive effects on metabolic control in young people with type 1 diabetes (T1D), less is known about their impact on quality of life (QoL). Here, we quantified CGM satisfaction and QoL in young people with T1D and their parents/caregivers to establish (i) the relationship between QoL and CGM satisfaction and (ii) the impact of the treatment regimen on QoL. METHODS: This was a cross-sectional study of children and adolescents with T1D on different treatment regimens (multiple daily injections, sensor-augmented pumps and automated insulin delivery). QoL was assessed with the KINDL instrument, and CGM satisfaction with the CGM-SAT questionnaire was evaluated in both youths with T1D and their parents. RESULTS: Two hundred and ten consecutively enrolled youths with T1D completed the KINDL and CGM-SAT questionnaires. The mean total KINDL score was greater than neutral in both subjects with T1D (3.99 ± 0.47) and parents (4.06 ± 0.40), and lower overall CGM-SAT scores (i.e., higher satisfaction) were significantly associated with higher QoL in all six KINDL subscales (p < 0.05). There were no differences in KINDL scores according to delivery technology or when participants were grouped according to optimal and sub-optimal glucose control. CONCLUSIONS: Higher satisfaction with recent CGMs was associated with better QoL in all dimensions. QoL was independent of both the insulin delivery technology and glycaemic control. CGM must be further disseminated. Attention on perceived satisfaction with CGM should be incorporated with the clinical practice to improve the well-being of children and adolescents with T1D and their families.

Short-Term Weight Gain after Tonsillectomy Does Not Lead to Overweight: A Systematic Review.

Different studies and systematic reviews have reported weight increase after tonsillectomy. However, the odds of a child being overweight or obese after tonsillectomy were no different than before surgery, according to a few studies. This systematic review aims to analyze the impact of adenotonsillectomy (TA) on weight gain and identify subgroups of children and adolescents at risk of experiencing weight gain. A systematic search included studies published in the last ten years. The PICO framework was used in the selection process, and evidence was assessed using the GRADE system. A total of 26 studies were included, and moderate-high level quality ones showed that children who underwent TA could present an increase in BMI z-score. However, this weight gain was significant in individuals younger than six years old and was considered catch-up growth in underweight subjects at baseline. In contrast, for normal-weight or overweight individuals, TA did not lead to overweight per se. At the same time, diet changes and overfeeding did not have a leading role in weight gain. In conclusion, TA may not be an independent risk factor for unfavorable weight gain in children; however, individuals who were underweight pre-operatively or younger than six years reported more weight gain after TA than expected.

Glucose sensor with predictive alarm for hypoglycaemia: Improved glycaemic control in adolescents with type 1 diabetes.

AIM: Hypoglycaemic events are linked to microvascular and macrovascular complications in people with type 1 diabetes. We aimed to evaluate the efficacy of glucose sensor [real-time continuous glucose monitoring (RT-CGM)] with predictive alarm (PA) in reducing the time spent below the range (%TBR <70 mg/dl) in a group of adolescents with type 1 diabetes (AwD). MATERIALS AND METHODS: This was a crossover, monocentric and randomized study. RT-CGM was set with Alarm on Threshold (AoT) at 70 mg/dl) or PA for hypoglycaemia (20 m before threshold). Twenty AwD were enrolled and randomized to either a PA/AoT or AoT/PA treatment sequence, in a 1:1 ratio. The two groups (PA vs. AoT) were compared using two-way repeated measures ANOVA taking account of the carryover effect. RESULTS: AwD using PA for hypoglycaemia spent less time in severe hypoglycaemia (%TBR2 <54 mg/dl; 0.32 ± 0.31 vs. 0.91 ± 0.90; p < .02) and hypoglycaemia (%TBR <70 mg/dl; 1.68 ± 1.06 vs. 2.90 ± 2.05; p < .02), with better glycaemia risk index (51.3 ± 11.0 vs. 61.5 ± 12.6; p ≤ .01). CONCLUSION: The use of RT-CGM with PA for hypoglycaemia technology in AwD using multiple daily insulin injection treatment could significantly reduce the risk of having hypoglycaemic events resulting in an improved quality of glucose control. CLINICAL TRIAL REGISTRATION NUMBER: NCT05574023.

Aiming for the Best Glycemic Control Beyond Time in Range: Time in Tight Range as a New Continuous Glucose Monitoring Metric in Children and Adolescents with Type 1 Diabetes Using Different Treatment Modalities.

Introduction: To evaluate time in tight range (TITR) 70-140 mg/dL (3.9-7.8 mmol/L), its correlation with standard continuous glucose monitoring (CGM) metrics and the clinical variables that possibly have a substantial impact on its value, in a large cohort of pediatric subjects using different treatment strategies. Materials and Methods: A total of 854 children and adolescents with type 1 diabetes were consecutively recruited in this real world, dual center, cross-sectional study. Participants were categorized into four treatment groups (multiple daily injections [MDI] + real-time CGM, MDI + intermittently scanned CGM, sensor augmented pump, and hybrid closed loop [HCL]). Demographical and clinical data, including CGM data, were collected and analyzed. Results: The overall study population exhibited an average TITR of 36.4% ± 12.8%. HCL users showed higher TITR levels compared to the other treatment groups (P < 0.001). A time in range (TIR) cut-off value of 71.9% identified subjects achieving a TITR ≥50% (area under curve [AUC] 0.98; 95% confidence interval 0.97-0.99, P < 0.001), and a strong positive correlation between these two metrics was observed (r = 0.95, P < 0.001). An increase in TIR of 1% was associated with 1.84 (R2 Nagelkerke = 0.35, P < 0.001) increased likelihood of achieving TITR ≥50%. Use of HCL systems (B = 7.78; P < 0.001), disease duration (B = -0.26, P = 0.006), coefficient of variation (B = -0.30, P = 0.004), and glycated hemoglobin (B = -8.82; P < 0.001) emerged as significant predictors of TITR levels. Conclusions: Our study highlights that most children and adolescents with type 1 diabetes present TITR levels below 50%, except those using HCL. Tailored interventions and strategies should be implemented to increase TITR.

Maintaining the gluten-free diet: The key to improve glycemic metrics in youths with type 1 diabetes and celiac disease.

AIMS: Gluten-free diets (GFD) were considered as high glycemic index and/or high content of saturated fats; this could affect keeping good metabolic control in individuals with both type 1 diabetes (T1D) and celiac disease (CD). Our objective was to analyze time in range and other continuous glucose monitoring (CGM) metrics with real-time CGM systems, in youths with T1D and CD, compared to those with T1D only. METHODS: An observational case-control study, comparing youths aged 8-18 years with T1D and CD, with people with T1D only was performed. The degree of maintaining GFD was assessed through anti-tissue transglutaminase antibodies and dietary interview, and maintaining Mediterranean diet through the KIDMED questionnaire. RESULTS: 86 youths with T1D and CD, 167 controls with T1D only, were included in the study and the two groups reported similar real-time CGM metrics. Among the first group, 29 % were not completely maintaining GFD and compared to people with T1D only they showed higher hyperglycemia rates (% time above range: 38.72 ± 20.94 vs 34.34 ± 20.94; P = 0.039). CONCLUSIONS: Individuals with T1D and CD who maintain GFD presented similar glucose metrics compared to youths with T1D only. Individuals not strictly maintaining GFD presented higher hyperglycemia rates.

Glycemic variability and Time in range are associated with the risk of overweight and high LDL-cholesterol in children and youths with Type 1 Diabetes.

INTRODUCTION: Reducing cardiovascular risk factors (CVRFs) exposure in children and youths with type 1 diabetes (T1D) is critical for cardiovascular diseases (CVD) prevention. Long-term exposure to hyperglycaemia, measured by HbA1c, had been recognized as the main factor affecting CVRFs profile. To date, the possible association between short-term glycaemic control and variability measured by continuous glucose monitoring (CGM) metrics and CVRFs has not been explored. The aim of this study was to test the hypothesis that CGM metrics independently contribute to CVRFs exposure in children and youths with T1D. METHOD: BMI, blood pressure (BP), lipid profile, and CGM data of 895 children and youths with T1D were analysed. Binary multivariable logistic regression analyses were performed to test independent associations between CVRFs (BMI percentile>85th, LDL-c>100 mg/dL, BP>90th percentile) and CGM metrics according to sex and adjusting for confounding factors. RESULTS: In both sexes, metrics of hypoglycaemia and glycaemic variability (coefficient of variation [%CV]) positively correlated with BMI percentile. LDL-c positively correlated with mean glucose and metrics of hyperglycaemia. A negative correlation was found between LDL-c and time in range (TIR). No significant correlations were found between CGM metrics and BP percentiles. In both sexes, TIR<70% was significantly associated with LDL-c>100 mg/dL (OR 3.2 in males, 2.1 in females). In females, CV>36% was significantly associated with overweight (OR 2.1). CONCLUSIONS: CGM metrics of glycaemic control and variability were significantly associated with the risk of overweight in females and high LDL-c in both sexes.

Satisfaction with continuous glucose monitoring is positively correlated with time in range in children with type 1 diabetes.

AIMS: Continuous glucose monitoring (CGM) can improve glucometrics in children with type 1 diabetes (T1D), and its efficacy is positively related to glucose sensor use for at least 60% of the time. We therefore investigated the relationship between CGM satisfaction as assessed by a robust questionnaire and glucose control in pediatric T1D patients. METHODS: This was a cross-sectional study of children and adolescents with T1D using CGM. The CGM Satisfaction (CGM-SAT) questionnaire was administered to patients and demographic, clinical, and glucometrics data were recorded. RESULTS: Two hundred and ten consecutively enrolled patients attending 14 Italian pediatric diabetes clinics completed the CGM-SAT questionnaire. CGM-SAT scores were not associated with age, gender, annual HbA1c, % of time with an active sensor, time above range (TAR), time below range (TBR), and coefficient of variation (CV). However, CGM satisfaction was positively correlated with time in range (TIR, p < 0.05) and negatively correlated with glycemia risk index (GRI, p < 0.05). CONCLUSIONS: CGM seems to have a positive effect on glucose control in patients with T1D. CGM satisfaction is therefore an important patient-reported outcome to assess and it is associated with increased TIR and reduced GRI.

Measures of Patient-Reported Expectations, Acceptance, and Satisfaction Using Automated Insulin Delivery Systems: A Review.

In people with type 1 diabetes, Automated Insulin Delivery (AID) systems adjust insulin delivery in response to sensor glucose data and consist of three components: an insulin pump, a continuous glucose sensor, and an algorithm that determines insulin delivery. To date, all the available AID systems require users to announce carbohydrate intake and deliver meal boluses, as well as respond to system alarms. The use of AID devices both initially and over time may be influenced by a variety of psychological factors. Analysis of patient-related outcomes should be taken into account, while recruiting applicants for the systems who are motivated and have realistic expectations in order to prevent AID dropout. We report an up-to-date summary of the available measures and semi-structured interview content to assess AID expectations, acceptance, and satisfaction using the AID systems. In conclusion, we suggest, before and after starting using AID systems, performing a specific evaluation of the related psychological implications, using validated measures and semi-structured interviews, that allows diabetes care providers to tailor their education approach to the factors that concern the patient at that time; they can teach problem-solving skills and other behavioral strategies to support sustained use of the AID system.

Family and Community Nurses as a Resource for the Inclusion of Youths with Type 1 Diabetes at School.

School nurses can facilitate the inclusion of students with type 1 diabetes (T1D) at school; this model has been widespread in some countries but not in Italy, which is due to the insufficient number of school nurses that are able to provide medical attention at all times. The National Recovery and Resilience Plan (PNRR) devised a series of aids and support for the reorganization of the Italian National Health System (NHS) through the creation of community houses in addition to family and community nurses (FCNs), who will operate in these structures to promote the integration of the various professional figures and community services. In this study, starting with the needs and suggestions of teachers (No. 79) and parents (No. 48) collected using a survey, we developed a new model for the inclusion of students at school where FCNs who have experience in pediatric T1D have the role of an educator, coordinator, and facilitator' they cannot be on site and available all the time during school hours, so they must make many efforts to improve the school staff's knowledge, intervene to offer training when requested, and solve new emerging problems.

Glycemia Risk Index as a Novel Metric to Evaluate the Safety of Glycemic Control in Children and Adolescents with Type 1 Diabetes: An Observational, Multicenter, Real-Life Cohort Study.

Glycemia risk index (GRI) is a novel composite metric for the evaluation of the safety of glycemic management and control. The aim of this study was to evaluate GRI and its correlations with continuous glucose monitoring (CGM) metrics by analyzing real-life CGM data in 1067 children/adolescents with type 1 diabetes (T1D) using four different treatment strategies (intermittently scanned CGM [isCGM]-multiple daily injections [MDIs]; real-time CGM-MDIs; rtCGM-insulin pump; hybrid closed-loop [HCL] therapy). GRI was positively correlated with high blood glucose index, low blood glucose index, mean glycemia, its standard deviation, coefficient of variation, and HbA1c. The four treatment strategy groups showed significantly different GRI with the lowest value in the HCL group (30.8) and the highest in the isCGM-MDIs group (68.4). These findings support the use of GRI for the assessment of the glycemic risk and the safety of specific treatment in pediatric subjects with T1D.

Risk factors for pre-clinical atherosclerosis in adolescents with type 1 diabetes.

AIMS: To assess whether, besides "traditional" risk factors, overall oxidative stress, oxidized lipoproteins, and glycemic variability are associated with early macro-vascular damage in type 1 diabetes (T1D). METHODS: In 267 children/adolescents with T1D (130 girls, age 9.1-23.0 years) we evaluated: derivatives of reactive oxygen metabolites [d-ROMs], serum total antioxidant capacity [TAC] and oxidized LDL-cholesterol [oxLDL]; markers of early vascular damage (Lipoprotein-associated phospholipase A2 [Lp-PLA2], z-score of carotid intima-media thickness [z-cIMT] and carotid-femoral pulse wave velocity [z-PWV]); CGM metrics of four weeks preceding the visit, central systolic/diastolic blood pressures (cSBP/cDBP), and HbA1c, z-score of BP (z-SBP/z-DBP) and circulating lipids longitudinally collected since T1D onset.. Three general linear models were built with z-cIMT, z-PWV adjusted for current cDBP, and Lp-PLA2 as independent variables. RESULTS: The z-cIMT was associated with male gender (B = 0.491, η2 = 0.029, p = 0.005), cSBP (B = 0.023, η2 = 0.026, p = 0.008) and oxLDL (B = 0.022, η2 = 0.022, p = 0.014). The z-PWV was associated with diabetes duration (B = 0.054, η2 = 0.024, p = 0.016), daily insulin dose (B = 0.52, η2 = 0.018, p = 0.045), longitudinal z-SBP (B = 0.18, η2 = 0.018, p = 0.045) and dROMs (B = 0.003, η2 = 0.037, p = 0.004). Lp-PLA2 was associated with age (B = 0.221, η2 = 0.079, p = 3*10-6), oxLDL (B = 0.081, η2 = 0.050, p = 2*10-4), longitudinal LDL-cholesterol (B = 0.031, η2 = 0.043, p = 0.001) and male gender (B = -1.62, η2 = 0.10, p = 1.3*107). CONCLUSIONS: Oxidative stress, male gender, insulin dose, diabetes duration and longitudinal lipids and blood pressure, contributed to the variance of early vascular damage in young patients with T1D.

Italian translation and validation of the CGM satisfaction scale questionnaire.

AIMS: Patient-reported outcomes (PROs) are increasingly important for assessing patient satisfaction with diabetes technologies. PROs must be assessed with validated questionnaires in clinical practice and research studies. Our aim was to translate and validate the Italian version of the continuous glucose monitoring (CGM) Satisfaction (CGM-SAT) scale questionnaire. METHODS: Questionnaire validation followed MAPI Research Trust guidelines and included forward translation, reconciliation, backward translation, and cognitive debriefing. RESULTS: The final version of the questionnaire was administered to 210 patients with type 1 diabetes (T1D) and 232 parents. The completion rate was excellent, with almost 100% of items answered. The overall Cronbach's coefficient was 0.71 and 0.85 for young people (patients) and parents indicating moderate and good internal consistency, respectively. Parent-young people agreement was 0.404 (95% confidence interval: 0.391-0.417), indicating moderate agreement between the two assessments. Factor analysis identified that factors assessing the "benefits" and "hassles" of CGM accounted for 33.9% and 12.9% of score variance in young people and 29.6% and 19.8% in parents, respectively. DISCUSSION: We present the successful Italian translation and validation of the CGM-SAT scale questionnaire, which will be useful for assessing satisfaction with Italian T1D patients using CGM systems.

Association of Achieving Time in Range Clinical Targets With Treatment Modality Among Youths With Type 1 Diabetes.

Importance: Continuous glucose monitoring (CGM) devices have demonstrated efficacy in adults and more recently in youths and older adults with type 1 diabetes. In adults with type 1 diabetes, the use of real-time CGM compared with intermittently scanned CGM was associated with improved glycemic control, but there are limited data available for youths. Objective: To assess real-world data on achievement of time in range clinical targets associated with different treatment modalities in youths with type 1 diabetes. Design, Setting, and Participants: This multinational cohort study included children, adolescents, and young adults younger than 21 years (hereinafter referred to collectively as youths) with type 1 diabetes for a duration of at least 6 months who provided CGM data between January 1, 2016, and December 31, 2021. Participants were enrolled from the international Better Control in Pediatric and Adolescent Diabetes: Working to Create Centers of Reference (SWEET) registry. Data from 21 countries were included. Participants were divided into 4 treatment modalities: intermittently scanned CGM with or without insulin pump use and real-time CGM with or without insulin pump use. Exposures: Type 1 diabetes and the use of CGM with or without an insulin pump. Main Outcomes and Measures: Proportion of individuals in each treatment modality group achieving recommended CGM clinical targets. Results: Among the 5219 participants (2714 [52.0%] male; median age, 14.4 [IQR, 11.2-17.1] years), median duration of diabetes was 5.2 (IQR, 2.7-8.7) years and median hemoglobin A1c level was 7.4% (IQR, 6.8%-8.0%). Treatment modality was associated with the proportion of individuals achieving recommended clinical targets. Adjusted for sex, age, diabetes duration, and body mass index standard deviation score, the proportion achieving the recommended greater than 70% time in range target was highest with real-time CGM plus insulin pump use (36.2% [95% CI, 33.9%-38.4%]), followed by real-time CGM plus injection use (20.9% [95% CI, 18.0%-24.1%]), intermittently scanned CGM plus injection use (12.5% [95% CI, 10.7%-14.4%]), and intermittently scanned CGM plus insulin pump use (11.3% [95% CI, 9.2%-13.8%]) (P < .001). Similar trends were observed for less than 25% time above (real-time CGM plus insulin pump, 32.5% [95% CI, 30.4%-34.7%]; intermittently scanned CGM plus insulin pump, 12.8% [95% CI, 10.6%-15.4%]; P < .001) and less than 4% time below range target (real-time CGM plus insulin pump, 73.1% [95% CI, 71.1%-75.0%]; intermittently scanned CGM plus insulin pump, 47.6% [95% CI, 44.1%-51.1%]; P < .001). Adjusted time in range was highest among real-time CGM plus insulin pump users (64.7% [95% CI, 62.6%-66.7%]). Treatment modality was associated with the proportion of participants experiencing severe hypoglycemia and diabetic ketoacidosis events. Conclusions and Relevance: In this multinational cohort study of youths with type 1 diabetes, concurrent use of real-time CGM and an insulin pump was associated with increased probability of achieving recommended clinical targets and time in range target as well as lower probability of severe adverse events compared with other treatment modalities.