BACKGROUND: Multiple clinician adjustable parameters impact upon glycemia in people with type 1 diabetes (T1D) using Medtronic Mini Med 780G (MM780G) AHCL. These include glucose targets, carbohydrate ratios (CR), and active insulin time (AIT). Algorithm-based decision support advising upon potential settings adjustments may enhance clinical decision-making.
METHODS: Single-arm, two-phase exploratory study developing decision support to commence and sustain AHCL. Participants commenced investigational MM780G, then 8 weeks Phase 1-initial optimization tool evaluation, involving algorithm-based decision support with weekly AIT and CR recommendations. Clinicians approved or rejected CR and AIT recommendations based on perceived safety per protocol. Co-design resulted in a refined algorithm evaluated in a further identically configured Phase 2. Phase 2 participants also transitioned to commercial MM780G following \"Quick Start\" (algorithm-derived tool determining initial AHCL settings using daily insulin dose and weight). We assessed efficacy, safety, and acceptability of decision support using glycemic metrics, and the proportion of accepted CR and AIT settings per phase.
RESULTS: Fifty three participants commenced Phase 1 (mean age 24.4; Hba1c 61.5mmol/7.7%). The proportion of CR and AIT accepted by clinicians increased between Phases 1 and 2 respectively: CR 89.2% vs. 98.6%, p < 0.01; AIT 95.2% vs. 99.3%, p < 0.01. Between Phases, mean glucose percentage time < 3.9mmol (< 70mg/dl) reduced (2.1% vs. 1.4%, p = 0.04); change in mean TIR 3.9-10mmol/L (70-180mg/dl) was not statistically significant: 72.9% ± 7.8 and 73.5% ± 8.6. Quick start resulted in stable TIR, and glycemic metrics compared to international guidelines.
CONCLUSIONS: The co-designed decision support tools were able to deliver safe and effective therapy. They can potentially reduce the burden of diabetes management related decision making for both health care practitioners and patients.
BACKGROUND: Prospectively registered with Australia/New Zealand Clinical Trials Registry(ANZCTR) on 30th March 2021 as study ACTRN12621000360819.

BACKGROUND: This study aims to compare the cognitive function of women with T1DM during and after pregnancy, as well as one year post-delivery. Additionally, it aims to investigate the impacts of leptin and body mass index on cognitive function.
METHODS: A prospective longitudinal cohort study was conducted involving 64 pregnant women with T1DM. Cognitive function was assessed using a cognitive assessment battery during the first trimester, immediately after delivery, and one year postpartum for the final assessment. This program evaluates a wide range of cognitive abilities and provides a comprehensive cognitive well-being score (high-moderate-low), identifying strengths and weaknesses in reasoning, memory, attention, coordination, and perception.
RESULTS: The average age of the participants was 30.9 years, with a mean diabetes duration of 14.9 years. Pregnant women with a BMI of 30 kg/m2 or higher faced an increased risk of reduced cognitive function, memory, and reasoning. Additionally, mothers with lower overall cognitive function and memory levels had significantly higher concentrations of leptin in their blood.
CONCLUSIONS: Cognitive functions-particularly reasoning and attention-are adversely affected in women with T1DM during pregnancy and shortly after delivery. Elevated BMI and leptin levels can be linked to worse cognitive outcomes in this population.

BACKGROUND: We used the Spanish national hospital discharge data from 2016 to 2022 to analyze procedures and hospital outcomes among patients aged ≥ 18 years admitted for ST-elevation myocardial infarction (STEMI) and non-ST-elevation myocardial infarction (NSTEMI) according to diabetes mellitus (DM) status (non-diabetic, type 1-DM or type 2-DM).
METHODS: We built logistic regression models for STEMI/NSTEMI stratified by DM status to identify variables associated with in-hospital mortality (IHM). We analyzed the effect of DM on IHM.
RESULTS: Spanish hospitals reported 201,950 STEMIs (72.7% non-diabetic, 0.5% type 1-DM, and 26.8% type 2-DM; 26.3% female) and 167,285 NSTEMIs (61.6% non-diabetic, 0.6% type 1-DM, and 37.8% type 2-DM; 30.9% female). In STEMI, the frequency of percutaneous coronary intervention (PCI) increased among non-diabetic people (60.4% vs. 68.6%; p < 0.001) and people with type 2-DM (53.6% vs. 66.1%; p < 0.001). In NSTEMI, the frequency of PCI increased among non-diabetic people (43.7% vs. 45.7%; p < 0.001) and people with type 2-DM (39.1% vs. 42.8%; p < 0.001). In NSTEMI, the frequency of coronary artery by-pass grafting (CABG) increased among non-diabetic people (2.8% vs. 3.5%; p < 0.001) and people with type 2-DM (3.7% vs. 5.0%; p < 0.001). In the entire population, lower IHM was associated with undergoing PCI (odds ratio [OR] [95% confidence interval] = 0.34 [0.32-0.35] in STEMI; 0.24 [0.23-0.26] in NSTEMI) or CABG (0.33 [0.27-0.40] in STEMI; 0.45 [0.38-0.53] in NSTEMI). IHM decreased over time in STEMI (OR = 0.86 [0.80-0.93]). Type 2-DM was associated with higher IHM in STEMI (OR = 1.06 [1.01-1.11]).
CONCLUSIONS: PCI and CABG were associated with lower IHM in people admitted for STEMI/NSTEMI. Type 2-DM was associated with IHM in STEMI.

BACKGROUND: The associations of risk factors with vascular impairment in type 1 diabetes patients seem more complex than that in type 2 diabetes patients. Therefore, we analyzed the associations between traditional and novel cardiovascular risk factors and vascular parameters in individuals with T1D and modifications of these associations according to sex and genetic factors.
METHODS: In a cross-sectional study, we analyzed the association of risk factors in T1D individuals younger than 65 years using vascular parameters, such as ankle brachial index (ABI) and toe brachial index (TBI), duplex ultrasound, measuring the presence of plaques in carotid and femoral arteries (Belcaro score) and intima media thickness of carotid arteries (CIMT). We also used photoplethysmography, which measured the interbranch index expressed as the Oliva-Roztocil index (ORI), and analyzed renal parameters, such as urine albumin/creatinine ratio (uACR) and glomerular filtration rate (GFR). We evaluated these associations using multivariate regression analysis, including interactions with sex and the gene for connexin 37 (Cx37) polymorphism (rs1764391).
RESULTS: In 235 men and 227 women (mean age 43.6 ± 13.6 years; mean duration of diabetes 22.1 ± 11.3 years), pulse pressure was strongly associated with unfavorable values of most of the vascular parameters under study (ABI, TBI, Belcaro scores, uACR and ORI), whereas plasma lipids, represented by remnant cholesterol (cholesterol - LDL-HDL cholesterol), the atherogenic index of plasma (log (triglycerides/HDL cholesterol) and Lp(a), were associated primarily with renal impairment (uACR, GFR and lipoprotein (a)). Plasma non-HDL cholesterol was not associated with any vascular parameter under study. In contrast to pulse pressure, the associations of lipid factors with kidney and vascular parameters were modified by sex and the Cx37 gene.
CONCLUSIONS: In addition to known information, easily obtainable risk factor, such as pulse pressure, should be considered in individuals with T1D irrespective of sex and genetic background. The associations of plasma lipids with kidney function are complex and associated with sex and genetic factors. The decision of whether pulse pressure, remnant lipoproteins, Lp(a) and other determinants of vascular damage should become treatment targets in T1D should be based on the results of future clinical trials.

UNASSIGNED: Observational studies and clinical trials have implicated polyunsaturated fatty acids (PUFAs) in potentially safeguarding against diabetic microvascular complication. Nonetheless, the causal nature of these relationships remains ambiguous due to conflicting findings across studies. This research employs Mendelian randomization (MR) to assess the causal impact of PUFAs on diabetic microvascular complications.
UNASSIGNED: We identified instrumental variables for PUFAs, specifically omega-3 and omega-6 fatty acids, using the UK Biobank data. Outcome data regarding diabetic microvascular complications were sourced from the FinnGen Study. Our analysis covered microvascular outcomes in both type 1 and type 2 diabetes, namely diabetic neuropathy (DN), diabetic retinopathy (DR), and diabetic kidney disease (DKD). An inverse MR analysis was conducted to examine the effect of diabetic microvascular complications on PUFAs. Sensitivity analyses were performed to validate the robustness of the results. Finally, a multivariable MR (MVMR) analysis was conducted to determine whether PUFAs have a direct influence on diabetic microvascular complications.
UNASSIGNED: The study indicates that elevated levels of genetically predicted omega-6 fatty acids substantially reduce the risk of DN in type 2 diabetes (odds ratio (OR): 0.62, 95% confidence interval (CI): 0.47-0.82, p = 0.001). A protective effect against DR in type 2 diabetes is also suggested (OR: 0.75, 95% CI: 0.62-0.92, p = 0.005). MVMR analysis confirmed the stability of these results after adjusting for potential confounding factors. No significant effects of omega-6 fatty acids were observed on DKD in type 2 diabetes or on any complications in type 1 diabetes. By contrast, omega-3 fatty acids showed no significant causal links with any of the diabetic microvascular complications assessed.
UNASSIGNED: Our MR analysis reveals a causal link between omega-6 fatty acids and certain diabetic microvascular complications in type 2 diabetes, potentially providing novel insights for further mechanistic and clinical investigations into diabetic microvascular complications.

UNASSIGNED: There has been controversy and uncertainty regarding the causal relationship between type 1 diabetes, its consequences, liver fibrosis, and cirrhosis. In order to determine the causal relationship, we conducted a Mendelian randomization study (MR).
UNASSIGNED: For the first time, we subjected multiple diabetes data to analyze its relationship with the progression of liver fibrosis. Once the instrumental variables had been extracted, we assessed them employing Cochran\'s Q multi-analysis, inverse variance weighted, MR-Egger, MR-PRESSO, weighted mode, and weighted median.
UNASSIGNED: Genetically predicted type 1 diabetes (OR = 1.13, 95% CI: 1.04-1.23, ** P = 3.42 × 10-3), type 1 diabetes without complications (OR = 1.12, 95% CI: 1.03-1.23, * P = 1.26 × 10-2), type 1 diabetes with coma (OR = 1.09, 95% CI: 1-1.18, * P = 4.74 × 10-2), type 1 diabetes with ketoacidosis (OR = 1.07, 95% CI: 1.01-1.13, * P = 1.3 × 10-2), type 1 diabetes with neurological complications (OR = 1.18, 95% CI: 1.11-1.26, *** P = 4.05 × 10-7), type 1 diabetes with ophthalmic complications (OR = 1.16, 95% CI: 1.05-1.28, ** P = 3.06 × 10-3), type 1 diabetes with renal complications (OR = 1.07, 95% CI: 1-1.13, *P = 3.45 × 10-2), type 1 diabetes with other specified/multiple/unspecified complications (OR = 1.12, 95% CI: 1.02-1.23, * P = 1.41 × 10-2) were all associated with an increased risk of liver fibrosis progression.
UNASSIGNED: According to our MR investigation, type 1 diabetes and both its acute and chronic implications may increase the likelihood that liver fibrosis could continue to develop. Additionally, type 1 diabetes with neurological and ocular problems is more likely to accelerate the development of liver fibrosis and inflammation, which offers new insights for genetic investigations.

UNASSIGNED: Type 1 diabetes (T1D) requires demanding self-management health behaviors, and adolescents with T1D are at risk for poor psychosocial and medical outcomes. Developing resilience skills may help adolescents with T1D and elevated distress navigate common stressors and achieve positive outcomes.
UNASSIGNED: To test the efficacy of the Promoting Resilience in Stress Management (PRISM) intervention on levels of hemoglobin A1c (HbA1c), diabetes distress, self-management behaviors, resilience, and quality of life among adolescents.
UNASSIGNED: This phase 3, parallel, 1:1 randomized clinical trial that followed up 172 participants for 12 months was conducted from January 1, 2020, to November 30, 2022, at each of 2 children\'s hospitals, in Seattle, Washington, and Houston, Texas. Participants were ages 13 to 18 years with T1D for at least 12 months and elevated diabetes distress.
UNASSIGNED: PRISM, a manualized, skills-based, individual intervention program that teaches stress management, goal setting, reframing, and meaning-making, facilitated by a coach and accompanied by a digital app, was delivered in three 30- to 60-minute sessions approximately 2 weeks apart.
UNASSIGNED: The 2 primary outcomes, diabetes distress and HbA1c levels, and 3 secondary outcomes, resilience, quality of life, and engagement in self-management behaviors, were assessed at baseline and 6 and 12 months after baseline. Linear mixed-effects regression models were used to evaluate associations between PRISM or usual care (UC) and these outcomes at both time points for the intention-to-treat population.
UNASSIGNED: Among 172 adolescents (mean [SD] age, 15.7 [1.6] years), 96 were female (56%), and their baseline mean (SD) HbA1c level was 8.7% (2.0%). No differences were evident between PRISM and UC recipients in HbA1c levels (β, -0.21 [95% CI, -0.65 to 0.22]; P = .33) or diabetes distress (β, -2.71 [95% CI, -6.31 to 0.90]; P = .14) or any participant-reported outcome (eg, β, 2.25 [95% CI, -0.30 to 4.80]; P = .08 for self-management behaviors) at 6 months. At 12 months, there was no statistically significant difference between arms in HbA1c levels (β, -0.26 [95% CI, -0.72 to 0.19]; P = .25); however, PRISM recipients reported significantly greater amelioration of diabetes distress (β, -4.59 [95% CI, -8.25 to -0.94]; P = .01) and improvement in self-management behaviors (β, 3.4 [95% CI, 0.9 to 5.9]; P = .01) compared with UC recipients.
UNASSIGNED: The findings in this randomized clinical trial of psychosocial and behavioral improvements associated with PRISM at 12 months illustrate the value of a strengths-based intervention. Integrating resilience skills-building with traditional diabetes care may be a promising approach for improving outcomes among adolescents with T1D and elevated diabetes distress.
UNASSIGNED: ClinicalTrials.gov number: NCT03847194.

UNASSIGNED: The relationship between diabetes mellitus (DM) and autism spectrum disorder (ASD) remains controversial. This study aimed to analyze the causal relationship between different types of DM and ASD by bidirectional Mendelian randomization (MR).
UNASSIGNED: Single nucleotide polymorphisms for type 1 diabetes mellitus (T1DM), type 2 diabetes mellitus (T2DM), gestational diabetes mellitus (GDM), and ASD were obtained from genome-wide association studies. Subsequently, inverse variance weighted, MR-Egger, and weighted median were used to test the exposure-outcome causality. Finally, MR-Egger\'s intercept, Cochran\'s Q, and leave-one-out method were used to assess horizontal pleiotropy, heterogeneity, and sensitivity of the results, respectively.
UNASSIGNED: The positive analysis showed that T2DM was associated with an increased risk of ASD, whereas neither T1DM nor GDM was associated with the risk of ASD. The reverse analysis showed that ASD was associated with an increased risk of T2DM, while it was not associated with the risk of either T1DM or GDM. MR-Egger intercept showed no horizontal pleiotropy (p > 0.05) for these results. Cochran\'s Q showed no heterogeneity expect for the results of T1DM on the risk of ASD, and leave-one-out sensitivity analysis showed these results were robust.
UNASSIGNED: This MR analysis suggests that T2DM and ASD are reciprocal risk factors and that they may create an intergenerational risk cycling in female patients. Aggressive prevention and treatment of T2DM and ASD help to break the trap of this risk cycling. Additionally, this study does not support a causal relationship between T1DM and ASD, as well as GDM and ASD. And more studies are needed in the future to continue to explore the interactions and underlying mechanisms between different types of DM and ASD.

OBJECTIVE: Advancements in type 1 diabetes (T1D) management, such as continuous glucose monitoring (CGM), have helped people achieve narrower glucose ranges, but associations between CGM and diabetes distress are unclear. Although higher HbA1c is associated with higher distress, associations with other glucose metrics are unknown. To better understand this relationship, we characterized diabetes distress in a sample of CGM users and compared differences in glucose metrics (measured via CGM) between those with higher versus lower distress.
METHODS: CGM users with T1D from the T1D Exchange Registry completed an online survey including diabetes distress (DDS-2) and shared CGM data (N = 199). CGM metrics were computed from all available data within 3 months prior to survey completion. Participants were grouped by distress level: lower (DDS-2 < 3, n = 120) or higher (DDS-2 ≥ 3, n = 79). Welch\'s t-tests were used to compare mean differences in CGM metrics between groups and MANCOVA was used to further probe mean differences.
RESULTS: Approximately 39.7% participants reported higher diabetes distress. Welch\'s t-tests revealed participants with higher distress spent significantly more time in higher glucose ranges (above 180 mg/dL and above 250 mg/dL), less time in target glucose ranges (between 70 and 180 mg/dL and between 70 and 140 mg/dL) and had higher glucose management index values compared to those with lower distress (p < 0.01). MANCOVA models showed similar results.
CONCLUSIONS: CGM users continue to experience diabetes distress. Moreover, higher distress appears to be associated with hyperglycaemia. These findings provide support for broader screening efforts for diabetes distress.

OBJECTIVE: Occupational therapists have the proven capacity to improve outcomes for young adults who are self-managing Type 1 diabetes (T1D). There is insufficient understanding of adolescents\' experiences of developing responsibility for diabetes self-management (DSM).
OBJECTIVE: To investigate adolescents\' perceptions of sharing responsibility for T1D management at school.
METHODS: This study had a descriptive qualitative design and used semistructured interviews and thematic analysis. It is the second phase of a mixed-methods study with a sequential explanatory design that investigated mechanisms of responsibility-sharing at school.
METHODS: Secondary school in Australia.
METHODS: Purposive sample of adolescents (age 15-16 yr) with T1D (N = 11).
RESULTS: Adolescents approached the complex occupation of school-based DSM primarily in partnership with their parents, with each adolescent having unique responsibilities while sharing others. Health care professionals and teachers reportedly had minimal involvement. Adolescents described owning most DSM tasks, with their perceptions of building independence limiting the sharing of this responsibility. A heightened sense of risk meant that adolescents were likely to communicate with others in cases of errant blood glucose readings. Current processes commonly resulted in reduced school participation.
CONCLUSIONS: Adolescents valued working responsively and interdependently with their parents to manage T1D at school, which aligns with the occupational therapy model of co-occupation. Effective responsibility-sharing depends on clear, frequent, autonomy-supportive, team-based communications. Our results showed that patterns of communication for determining school-based DSM processes were fragmented and risk focused, with limited adolescent involvement, resulting in strategies that led to students at times being excluded from school activities. Plain-Language Summary: This is the first study to use an occupational lens to examine the way in which adolescents share their responsibility for diabetes care at school. Diabetes self-management in secondary schools occurs more often when adolescents work interdependently with their parents to manage their diabetes. Adolescent involvement in formal school processes and a clearer allocation of team roles and responsibilities would better support health-promoting habits and school participation.