Left atrial dysfunction and stiffness in pediatric and adult patients with Type 1 diabetes mellitus assessed with speckle tracking echocardiography.

BACKGROUND: Subclinical diastolic dysfunction in patients with Type 1 diabetes mellitus (T1DM) caused by myocardial injury due to diabetic cardiomyopathy leads to a high risk of death and heart failure. This myocardial injury extends not only to the left ventricle (LV) but also to the left atrium (LA). However, LA function in children and young adults with T1DM has not been extensively studied. OBJECTIVE: Therefore, the aim of this study was to assess LA dysfunction in pediatric and adult patients with T1DM using LA strain analysis with echocardiography. SUBJECTS: Fifty-three patients (median age: 23 [range: 5-41] years) with T1DM. METHODS: We divided the patients into three age groups (D1: 5-14 years, D2: 15-24 years, D3: 25-41 years); 53 age- and sex-matched controls were divided into three corresponding groups (C1, C2, and C3). LA and LV functions were evaluated using echocardiography. RESULTS: LA reservoir strain was lower in the D2 and D3 groups than in the C2 and C3 groups (P = 0.001, P = 0.004, respectively). LA conduit strain was lower in the D2 group than in the C2 group (P = 0.002). LA stiffness was significantly greater in the D3 group than in the C3 group (P < 0.001). CONCLUSIONS: In patients with T1DM, LA phasic function decreased in adolescents and young adults, and LA stiffness increased in adult patients aged >30 years. LA phasic function and LA stiffness can be potentially used as early markers for diastolic dysfunction.

In-Depth Insight Into the Mechanisms of Cardiac Dysfunction in Patients With Type 1 Diabetes Mellitus Using Layer-Specific Strain Analysis.

BACKGROUND: Although the subclinical left ventricular (LV) dysfunction caused by diabetes mellitus (DM) results in a high risk of death and heart failure, the details of cardiac dysfunction across a wide age range remain unclear. The aim of this study was to assess LV dysfunction in patients with type 1 DM (T1DM) using layer-specific strain analysis by echocardiography.Methods and Results:The 52 patients (median age: 23 [range: 5-40] years) with T1DM were divided into 3 age groups (D1: 5-14 years, D2: 15-24 years, D3: 25-40 years); 78 age- and sex-similar controls were divided into 3 corresponding groups (C1, C2, and C3). Layer-specific longitudinal strain (LS) and circumferential strain (CS) of the 3 myocardial layers (endocardium, midmyocardium, and epicardium) were determined using echocardiography. Strains did not decrease in D1. Epicardial and midmyocardial CS at the basal level and LS in all layers were decreased in D2 compared with C2. CS at the basal level and LS in all layers were lower in D3 than in C3. The strains correlated with the duration of T1DM and LV wall thickness. CONCLUSIONS: In patients with T1DM, longitudinal deformation in all layers and epicardial and midmyocardial circumferential deformation at the basal level decreased from the late teens, which correlated with the duration of the disease and LV hypertrophy.

A 7 day inpatient diabetes education program improves quality of life and glycemic control 12 months after discharge.

AIMS: For long-term management of diabetes, patients with type 2 diabetes mellitus require a high level of treatment adherence, which is associated with treatment satisfaction and their quality of life (QOL). To achieve it, patient education about diabetes self-management is essential. We routinely conduct a 7 day inpatient diabetes education program and administer the diabetes treatment-related (DTR)-QOL questionnaire to all participants, both before admission and at discharge. Here, we investigated whether our program improves QOL and post-discharge glycemic control. MATERIALS AND METHODS: This retrospective study utilized data from patients with type 2 diabetes mellitus who participated in our program between July 2017 and March 2020 and who had been treated in our outpatient department for more than 1 year. We evaluated the relationship between at admission and at discharge diabetes treatment-related quality of life scores and glycemic control after discharge. RESULTS: Data from 140 patients were analyzed in this study, which showed a significant improvement in the total, 'Anxiety and dissatisfaction with treatment', and 'Satisfaction-with-treatment' scores. A significant improvement was evident in HbA1c at 12 months after discharge. Multiple regression analysis showed that HbA1c after 12 months was independently associated with gender, duration of diabetes, and HbA1c at admission. CONCLUSIONS: Our program effectively improves quality of life and post-discharge glycemic control in patients with type 2 diabetes mellitus. It is particularly effective in patients of the male gender, with a shorter duration of diabetes mellitus and higher HbA1c at admission.

Coronary Artery Vorticity to Predict Functional Plaque Progression in Participants with Type 2 Diabetes Mellitus.

Purpose: To investigate whether vorticity could predict functional plaque progression better than high-risk plaque (HRP) and lesion length (LL) in individuals with type 2 diabetes mellitus. Materials and Methods: This single-center prospective study included 61 participants (mean age, 61 years ± 9 [SD]; 43 male participants) who underwent serial coronary CT angiography at 2 years, with 20%-70% stenosis at initial CT between October 2015 and March 2020. The number of the following HRP characteristics was recorded: low attenuation, positive remodeling, spotty calcification, and napkin-ring sign. Vorticity was calculated using a mesh-free simulation. A decrease in CT fractional flow reserve larger than 0.05 indicated functional progression. Models using HRP and LL and vorticity were compared using receiver operating characteristic curve analysis. Results: Of the 94 vessels evaluated, 25 vessels (27%) showed functional progression. Vessels with functional progression showed higher vorticity at distal stenosis (984 sec-1; IQR: 730-1253 vs 443 sec-1; IQR: 295-602; P < .001) than vessels without progression. The area under the receiver operating characteristic curve of vorticity (0.91; 95% CI: 0.84, 0.97) was higher than that of HRP and LL (0.69; 95% CI: 0.56, 0.82; P < .01). Diagnostic accuracy of vorticity (85%; 80 of 94 vessels; 95% CI: 76, 92) was higher than that of HRP and LL (72%; 68 of 94 vessels; 95% CI: 62, 81; P = .004). Conclusion: In participants with type 2 diabetes mellitus, vorticity at distal stenosis was a better predictor of functional plaque progression than HRP and LL.Keywords: Coronary Artery, Vorticity, Functional Plaque Progression, Type 2 Diabetes, Vasculature, CT Angiography, Computational Fluid Dynamics, Fractional Flow Reserve Supplemental material is available for this article. © RSNA, 2023.

Identification of Risk Factors for Coronary Artery Disease in Asymptomatic Patients with Type 2 Diabetes Mellitus.

BACKGROUND: Patients with diabetes mellitus (DM) are a high-risk group for coronary artery disease (CAD). In the present study, we investigated predictive factors to identify patients at high risk of CAD among asymptomatic patients with type 2 DM based on coronary computed tomographic angiography (CCTA) findings. METHODS: A single-center prospective study was performed on 452 consecutive patients with type 2 DM who were provided with a weekly hospital-based diabetes education program between 3 October 2015, and 31 March 2020. A total of 161 consecutive asymptomatic patients (male/female: 111/50, age: 57.3 ± 9.3 years) with type 2 DM without any known CAD underwent CCTA. Based on conventional coronary risk factors and non-invasive examination, i.e., measurement of intima-media thickness, subcutaneous and visceral fat area, a stress electrocardiogram test, and the Agatston score, patients with obstructive CAD, CT-verified high-risk plaques (CT-HRP), and optimal revascularization within 90 days were evaluated. RESULTS: Current smoking (OR, 4.069; 95% C.I., 1.578-10.493, p = 0.0037) and the Agatston score ≥100 (OR, 18.034; 95% C.I., 6.337-51.324, p = 0.0001) were independent predictive factors for obstructive CAD, while current smoking (OR, 5.013; 95% C.I., 1.683-14.931, p = 0.0038) was an independent predictive factor for CT-HRP. Furthermore, insulin treatment (OR, 5.677; 95% C.I., 1.223-26.349, p = 0.0266) was the only predictive factor that correlated with optimal revascularization within 90 days. CONCLUSIONS: In asymptomatic patients with type 2 DM, current smoking, an Agatston score ≥100, and insulin treatment were independent predictive factors of patients being at high-risk for CAD. However, non-invasive examinations except for Agatston score were not independent predictors of patients being at high risk of CAD.

Effect of real-life insulin pump with predictive low-glucose management use for 3 months: Analysis of the patients treated in a Japanese center.

AIMS/INTRODUCTION: In Japan, an insulin pump with predictive low-glucose management (PLGM) was launched in 2018. It automatically suspends insulin delivery when the sensor detects or predicts low glucose values. The aim of this study was to analyze the safety and efficacy of PLGM in patients treated in a Japanese center. MATERIALS AND METHODS: We carried out a retrospective observational analysis of 16 patients with type 1 diabetes mellitus and one patient after pancreatectomy. They switched from the MiniMed 620G device to the 640G device with PLGM. The primary outcome was the change in the percentage of time in hypoglycemia. The secondary outcome was the change in HbA1c (%) over a period of 3 months. We also explored the presence of "post-suspend hyperglycemia" with the 640G device. RESULTS: After changing to the 640G device, the percentage of time in hypoglycemia (glucose <50 mg/dL) significantly decreased from 0.39% (0-1.51%) to 0% (0-0.44%; P = 0.0407). The percentage of time in hyperglycemia (glucose >180 mg/dL) significantly increased from 25.53% (15.78-44.14%) to 32.9% (24.71-45.49%; P = 0.0373). HbA1c significantly increased from 7.6 ± 1.0% to 7.8 ± 1.1% (P = 0.0161). From 1.5 to 4.5 h after the resumption of insulin delivery, the percentage of time in hyperglycemia was 32.23% (24.2-53.75%), but it was significantly lower, 2.78% (0-21.6%), when patients manually restarted the pump within 30 min compared with automatic resumption 31.2% (20-61.66%; P = 0.0063). CONCLUSIONS: Predictive low-glucose management is an effective tool for reducing hypoglycemia, but possibly elicits "post-suspend hyperglycemia." This information is useful for achieving better blood glucose control in the patients treated with PLGM.