18 research outputs found

    HbA1c and telemedicine during COVID-19

    Get PDF
    Aims/Introduction: To investigate whether the COVID-19 pandemic affected behavioral changes and glycemic control in patients with diabetes and to conduct a survey of telemedicine during the pandemic. Materials and Methods: In this retrospective study, a total of 2,348 patients were included from 15 medical facilities. Patients were surveyed about their lifestyle changes and attitudes toward telemedicine. Hemoglobin A1c (HbA1c) levels were compared among before (from June 1 to August 31, 2019) and in the first (from June 1 to August 31, 2020) and in the second (from June 1 to August 31, 2021) year of the pandemic. A survey of physician attitudes toward telemedicine was also conducted. Results: The HbA1c levels were comparable between 2019 (7.27 ± 0.97%), 2020 (7.28 ± 0.92%), and 2021 (7.25 ± 0.94%) without statistical difference between each of those 3 years. Prescriptions for diabetes medications increased during the period. The frequency of eating out was drastically reduced (51.7% in 2019; 30.1% in 2020), and physical activity decreased during the pandemic (48.1% in 2019; 41.4% in 2020; 43.3% in 2021). Both patients and physicians cited increased convenience and reduced risk of infection as their expectations for telemedicine, while the lack of physician–patient interaction and the impossibility of consultation and examination were cited as sources of concern. Conclusions: Our data suggest that glycemic control did not deteriorate during the COVID-19 pandemic with appropriate intensification of diabetes treatment in patients with diabetes who continued to attend specialized diabetes care facilities, and that patients and physicians shared the same expectations and concerns about telemedicine

    Prevalence of bone fracture and its association with severe hypoglycemia in Japanese patients with type 1 diabetes

    No full text
    Introduction Type 1 diabetes (T1D) is associated with higher fracture risk. However, few studies have investigated the relationship between severe hypoglycemia and fracture risk in patients with T1D, and the results are controversial. Besides, none has investigated the risk factors for fracture in Asian patients with T1D. The aim of the present study was to investigate the prevalence of bone fracture and its relationship between severe hypoglycemia and other risk factors in Japanese patients with T1D.Research design and methods The single-center cross-sectional study enrolled 388 Japanese patients with T1D (mean age, 45.2 years; women, 60.4%; mean duration of diabetes, 16.6 years) between October 2019 and April 2020. The occurrence and circumstances of any fracture after the diagnosis of T1D were identified using a self-administered questionnaire. The main outcomes were any anatomic site of fracture and fall-related fracture. Severe hypoglycemia was defined as an episode of hypoglycemia that required the assistance of others to achieve recovery.Results A total of 92 fractures occurred in 64 patients, and 59 fractures (64%) were fall-related. Only one participant experienced fracture within the 10 years following their diagnosis of diabetes. In logistic regression analysis, the multivariate-adjusted ORs (95% CIs) of a history of severe hypoglycemia were 2.11 (1.11 to 4.09) for any fracture and 1.91 (0.93 to 4.02) for fall-related fracture. Fourteen of 18 participants with multiple episodes of any type of fracture had a history of severe hypoglycemia (p<0.001 vs no fracture).Conclusions We have shown that a history of severe hypoglycemia is significantly associated with a higher risk of bone fracture in Japanese patients with T1D

    Onset of type 1 diabetes during bone growth period is associated with increased prevalence of bone fracture: A post‐hoc analysis of a cross‐sectional study

    No full text
    In this single‐center, cross‐sectional study, we demonstrated that the prevalence of fracture was significantly higher in patients who onset type 1 diabetes during 0–4 years, and 10–14 years compared with adult‐onset type 1 diabetes. We are aware that this study contains a lot of limitations including non‐prospective study design and a small number of participants. However, the results of this study, if followed by a larger cohort study, could provide important insights into the increased risk of fracture in patients with type 1 diabetes, and suggest the need for attention and perhaps early intervention for patients with type 1 diabetes who developed during these periods.[Image: see text

    Subtyping of Type 1 Diabetes as Classified by Anti-GAD Antibody, IgE Levels, and Tyrosine kinase 2 (TYK2) Promoter Variant in the Japanese

    No full text
    Objective: Type 1 diabetes (T1D) is known to be caused by Th1 cell-dependent autoimmunity. Recently, we reported that TYK2 promoter variant serves as a putative virus-induced diabetes susceptibility gene associated with deteriorated interferon-dependent antiviral response. TYK2 is also related to HIES, that is, Th2 cell-dependent. Therefore, TYK2 promoter variant may be also associated with the pathogenesis of T1D, modulating Th1/Th2 balance. Research Design and Methods: We assessed the association between anti- GAD Ab, IgE levels, and TYK2 promoter variant among 313 T1D patients, 184 T2D patients, and 264 YH controls in the Japanese. Results: T1D patients had elevated IgE (median, 56.7 U/ml; p < 0.0001) compared with T2D patients (22.5 U/ml) and controls (43.3 U/ml). Contrary to our expectations, there was no correlation between TYK2 promoter variant and IgE levels. We found that T1D could be subtyped as four groups based on anti-GAD Ab and IgE profile: Subtype 1, anti-GAD Ab positive and non-elevated IgE (47.0%); Subtype 2, anti-GAD Ab negative and non-elevated IgE (35.1%); Subtype 3, anti-GAD Ab positive and elevated IgE (10.9%); and Subtype 4, anti-GAD Ab negative and elevated IgE (7.0%). In Subtype 2, a significantly higher incidence was observed in T1D cases carrying the TYK2 promoter variant (OR, 2.60; 95%CI, 1.03–6.97; p = 0.032), and also showing a flu-like syndrome at diabetes onset (OR, 2.34; 95%CI, 1.27–4.35; p = 0.003). Interpretation: Anti-GAD Ab and IgE profiling helps classifying T1D into four groups that recognize variable pathogenic bases of T1D

    Clustering of charged colloidal particles in the microgravity environment of space

    No full text
    Abstract We conducted a charge–charge clustering experiment of positively and negatively charged colloidal particles in aqueous media under a microgravity environment at the International Space Station. A special setup was used to mix the colloid particles in microgravity and then these structures were immobilized in gel cured using ultraviolet (UV) light. The samples returned to the ground were observed by optical microscopy. The space sample of polystyrene particles with a specific gravity ρ (=1.05) close to the medium had an average association number of ~50% larger than the ground control and better structural symmetry. The effect of electrostatic interactions on the clustering was also confirmed for titania particles (ρ ~ 3), whose association structures were only possible in the microgravity environment without any sedimentation they generally suffer on the ground. This study suggests that even slight sedimentation and convection on the ground significantly affect the structure formation of colloids. Knowledge from this study will help us to develop a model which will be used to design photonic materials and better drugs

    Impact of COVID‐19 pandemic on behavioral changes and glycemic control and a survey of telemedicine in patients with diabetes: A multicenter retrospective observational study

    No full text
    ABSTRACT Aims/Introduction To investigate whether the COVID‐19 pandemic affected behavioral changes and glycemic control in patients with diabetes and to conduct a survey of telemedicine during the pandemic. Materials and Methods In this retrospective study, a total of 2,348 patients were included from 15 medical facilities. Patients were surveyed about their lifestyle changes and attitudes toward telemedicine. Hemoglobin A1c (HbA1c) levels were compared among before (from June 1 to August 31, 2019) and in the first (from June 1 to August 31, 2020) and in the second (from June 1 to August 31, 2021) year of the pandemic. A survey of physician attitudes toward telemedicine was also conducted. Results The HbA1c levels were comparable between 2019 (7.27 ± 0.97%), 2020 (7.28 ± 0.92%), and 2021 (7.25 ± 0.94%) without statistical difference between each of those 3 years. Prescriptions for diabetes medications increased during the period. The frequency of eating out was drastically reduced (51.7% in 2019; 30.1% in 2020), and physical activity decreased during the pandemic (48.1% in 2019; 41.4% in 2020; 43.3% in 2021). Both patients and physicians cited increased convenience and reduced risk of infection as their expectations for telemedicine, while the lack of physician–patient interaction and the impossibility of consultation and examination were cited as sources of concern. Conclusions Our data suggest that glycemic control did not deteriorate during the COVID‐19 pandemic with appropriate intensification of diabetes treatment in patients with diabetes who continued to attend specialized diabetes care facilities, and that patients and physicians shared the same expectations and concerns about telemedicine

    Impact of COVID-19 pandemic on behavioral changes and glycemic control and a survey of telemedicine in patients with diabetes : A multicenter retrospective observational study

    No full text
    Aims/Introduction: To investigate whether the COVID-19 pandemic affected behavioral changes and glycemic control in patients with diabetes and to conduct a survey of telemedicine during the pandemic. Materials and Methods: In this retrospective study, a total of 2,348 patients were included from 15 medical facilities. Patients were surveyed about their lifestyle changes and attitudes toward telemedicine. Hemoglobin A1c (HbA1c) levels were compared among before (from June 1 to August 31, 2019) and in the first (from June 1 to August 31, 2020) and in the second (from June 1 to August 31, 2021) year of the pandemic. A survey of physician attitudes toward telemedicine was also conducted. Results: The HbA1c levels were comparable between 2019 (7.27 ± 0.97%), 2020 (7.28 ± 0.92%), and 2021 (7.25 ± 0.94%) without statistical difference between each of those 3 years. Prescriptions for diabetes medications increased during the period. The frequency of eating out was drastically reduced (51.7% in 2019; 30.1% in 2020), and physical activity decreased during the pandemic (48.1% in 2019; 41.4% in 2020; 43.3% in 2021). Both patients and physicians cited increased convenience and reduced risk of infection as their expectations for telemedicine, while the lack of physician–patient interaction and the impossibility of consultation and examination were cited as sources of concern. Conclusions: Our data suggest that glycemic control did not deteriorate during the COVID-19 pandemic with appropriate intensification of diabetes treatment in patients with diabetes who continued to attend specialized diabetes care facilities, and that patients and physicians shared the same expectations and concerns about telemedicine
    corecore