Effects of continuous glucose monitoring on glycaemic control in type 2 diabetes: A systematic review and network meta-analysis of randomized controlled trials.

AIMS: The aim of this study was to assess the efficacy of continuous glucose monitoring (CGM) versus self-monitoring of blood glucose (SMBG) in maintaining glycaemic control among people with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: The protocol was registered in PROSPERO (CRD42023387583). PubMed, Web of Science, EMBASE and OVID databases were searched from 1 January 2000 until 31 December 2022 for randomized controlled trials comparing CGM with SMBG in glycaemic control among the outpatients with T2DM. The primary endpoint was glycated haemoglobin, while the secondary endpoints included time in range, time below range and time above range. Both traditional and network meta-analyses were conducted to explore the efficacy of CGM on glycaemic control in T2DM. RESULTS: Eleven high-quality studies, involving 1425 individuals with T2DM, were identified. Traditional meta-analysis revealed that CGM exhibited a significantly decreased [mean difference (MD): -0.31, 95% confidence interval (CI) (-0.45, -0.18)], time above range [MD: -9.06%, 95% CI (-16.00, -2.11)], time below range [MD: -0.30%, 95% CI (-0.49, -0.12)] and a significantly increased time in range [MD: 8.49%, 95% CI (3.96, 13.02)] compared with SMBG. The network meta-analysis showed that real-time CGM can improve the glycaemic control of patients with T2DM to the most extent. CONCLUSIONS: CGM could provide T2DM with greater benefits in glycaemic management compared with SMBG, particularly in patients using real-time CGM. These findings provide an updated perspective on previous research and offer guidance for CGM use in T2DM.

Ir-Doped CuPd Single-Crystalline Mesoporous Nanotetrahedrons for Ethylene Glycol Oxidation Electrocatalysis: Enhanced Selective Cleavage of C-C Bond.

The development of highly efficient electrocatalysts for complete oxidation of ethylene glycol (EG) in direct EG fuel cells is of decisive importance to hold higher energy efficiency. Despite some achievements, their progress, especially electrocatalytic selectivity to complete oxidated C1 products, is remarkably slower than expected. In this work, we developed a facile aqueous synthesis of Ir-doped CuPd single-crystalline mesoporous nanotetrahedrons (Ir-CuPd SMTs) as high-performance electrocatalyst for promoting oxidation cleavage of C-C bond in alkaline EG oxidation reaction (EGOR) electrocatalysis. The synthesis relied on precise reduction/co-nucleation and epitaxial growth of Ir, Cu and Pd precursors with cetyltrimethylammonium chloride as the mesopore-forming surfactant and extra Br- as the facet-selective agent under ambient conditions. The products featured concave nanotetrahedron morphology enclosed by well-defined (111) facets, single-crystalline and mesoporous structure radiated from the center, and uniform elemental composition without any phase separation. Ir-CuPd SMTs disclosed remarkably enhanced electrocatalytic activity and excellent stability as well as superior selectivity of C1 products for alkaline EGOR electrocatalysis. Detailed mechanism studies demonstrated that performance improvement came from structural and compositional synergies, which kinetically accelerated transports of electrons/reactants within active sites of penetrated mesopores and facilitated oxidation cleavage of high-energy-barrier C-C bond of EG for desired C1 products. More interestingly, Ir-CuPd SMTs performed well in coupled electrocatalysis of anode EGOR and cathode nitrate reduction, highlighting its high potential as bifunctional electrocatalyst in various applications.

Evaluation method for the color preference of lighting traditional Chinese paintings in museum based on light source spectral analysis.

To evaluate the lighting color preference on traditional Chinese paintings based on the spectral power distributions (SPDs) of light sources, an experiment to examine the color preference of 40 representative SPDs illuminating two typical traditional Chinese paintings was performed in a 1:1 simulated exhibition hall. By decomposing the data, the influence trend from the different narrowband spectra on the color preference was obtained, and two key spectra with a significant influence on the color preference were determined (WLP = 425 nm with FWHM = 20 nm and WLP = 525 nm with FWHM = 30 nm). With an evaluation model using the relative spectral areas of S425 and S525, the calculation of the lighting color preference for traditional Chinese painting illumination based on SPD was achieved. Our results could provide a mathematical tool for the comparison and selection of light sources for the illumination of traditional Chinese paintings and the development and design of specific light sources.

The association between Chinese visceral adiposity index and cardiometabolic multimorbidity among Chinese middle-aged and older adults: a national cohort study.

Objective: This study aimed to explore the association between the Chinese visceral adiposity index (CVAI) and cardiometabolic multimorbidity in middle-aged and older Chinese adults. Methods: The data used in this study were obtained from a national cohort, the China Health and Retirement Longitudinal Study (CHARLS, 2011-2018 wave). The CVAI was measured using previously validated biomarker estimation formulas, which included sex, age, body mass index, waist circumference, triglycerides, and high-density lipoprotein cholesterol. The presence of two or more of these cardiometabolic diseases (diabetes, heart disease, and stroke) is considered as cardiometabolic multimorbidity. We used Cox proportional hazard regression models to examine the association between CVAI and cardiometabolic multimorbidity, adjusting for a set of covariates. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used to show the strength of the associations. We also conducted a subgroup analysis between age and sex, as well as two sensitivity analyses. Receiver operator characteristic curves (ROC) were used to test the predictive capabilities and cutoff value of the CVAI for cardiometabolic multimorbidity. Results: A total of 9028 participants were included in the final analysis, with a mean age of 59.3 years (standard deviation: 9.3) and women accounting for 53.7% of the sample population. In the fully-adjusted model, compared with participants in the Q1 of CVAI, the Q3 (HR = 2.203, 95% CI = 1.039 - 3.774) and Q4 of CVAI (HR = 3.547, 95% CI = 2.100 - 5.992) were associated with an increased risk of cardiometabolic multimorbidity. There was no evidence of an interaction between the CVAI quartiles and sex or age in association with cardiometabolic multimorbidity (P >0.05). The results of both sensitivity analyses suggested that the association between CVAI and cardiometabolic multimorbidity was robust. In addition, the area under ROC and ideal cutoff value for CVAI prediction of cardiometabolic multimorbidity were 0.685 (95% CI = 0.649-0.722) and 121.388. Conclusion: The CVAI is a valid biomarker with good predictive capability for cardiometabolic multimorbidity and can be used by primary healthcare organizations in the future for early warning, prevention, and intervention with regard to cardiometabolic multimorbidity.

Leisure Activity, Childhood Starvation, and Risk of Incident Diabetes in Older Adults: Evidence From a Chinese Nationwide Cohort Study.

OBJECTIVE: This study explores the impact of leisure activity and the association between childhood starvation and the risk of diabetes in older Chinese adults. DESIGN: Prospective cohort study based on the Chinese Longitudinal Healthy Longevity Study (CLHLS), a nationwide cohort study in China. SETTING AND PARTICIPANTS: A total of 4637 older adults aged ≥65 years, all with documented diabetes history, experiences of childhood starvation, and participation in leisure activities were recruited. METHODS: Childhood starvation exposure was assessed via self-reported responses from a structured questionnaire. The leisure activities were measured by 9 distinctive components and categorized into 3 distinct categories: productive activity, recreational activity, and sedentary activity. Diabetes status was determined by self-reported, physician-diagnosed cases during the follow-up period. Nonparametric survival models were employed for analysis. RESULTS: Over an average follow-up period of 4.3 years, 215 of 4637 participants (4.6%) reported a confirmed diagnosis of diabetes. Nonparametric survival models showed that those reporting childhood starvation had a higher risk of late-life diabetes [hazard ratio (HR) 1.72, 95% CI 1.21-2.44]. Engaging in productive activity (HR 0.90, 95% CI 0.83-0.99) and recreational activity (HR 0.88, 95% CI 0.77-1.00) was linked with a reduced risk of late-life diabetes. Sedentary activity did not show a significant effect. Further analysis highlighted the interactions effects of leisure activities on diabetes risk across different demographic and historical exposure subgroups. CONCLUSIONS AND IMPLICATIONS: Engaging in productive and recreational leisure activities was inversely associated with the risk of diabetes in older adults who experienced childhood starvation. Promoting such activities could be beneficial in mitigating long-term diabetes risk related to early-life nutritional deficiencies.

Experimental study on the aluminum aggregate property during the treatment of lightweight oil spills using electrocoagulation.

The properties of aggregates significantly affect the demulsification efficiency within the electrocoagulation reactor. This paper aims to explore aggregate properties including the particle size, strength factor (Fs), and recovery factor (Fr). The experiments were carried out using aluminum-aluminum electrodes. The experimental results indicate that breakage time did not change Fs much but was positively correlated with Fr. When the current was increased from 0.75 A to 1.0 A, Fs experienced a decrease of 12.42%, while Fr exhibited an increase of 19.38%. In comparison to pH 9.0, both Fs and Fr demonstrated an increase at pH levels of 2.0 and 10.0. The size of aggregates significantly decreases under rocking conditions simulating offshore environments, while the oil removal rate does not change much. This phenomenon can be attributed to the fact that different initial mean particle sizes have different Fs and Fr. The aggregates |Fs-Fr| were positively correlated with the initial average particle size of the electroflocculated aggregates. The present study offers a crucial theoretical foundation for the growth and regulation of aggregates formed during electrocoagulation treatment of oil spills on the sea surface.Synopsis: This paper is of great theoretical value for understanding the growth and control of EC aggregates to treat offshore light oil spills using the electrocoagulation process.

Effect of beinaglutide combined with metformin versus aspart 30 with metformin on metabolic profiles and antidrug antibodies in patients with type 2 diabetes: a randomized clinical trial.

Objective: This prospective study aimed to evaluate the effect of beinaglutide combined with metformin versus aspart 30 with metformin on metabolic profiles and antidrug antibodies (ADAs) in patients with type 2 diabetes (T2D). Methods: A total of 134 eligible participants were randomly assigned to the test group and the control group. Patients in the test group were treated with beinaglutide and metformin, whereas patients in the control group were randomly treated with aspart 30 and metformin, with a follow-up period of 6 months. The metabolic profiles and ADAs over 6 months were evaluated. Results: After 6 months, 101 (75.37%) patients completed the study. Compared with the control group, the beinaglutide group had significant reductions in 2-h postprandial blood glucose (2hBG) and low blood glucose index (LBGI). Glycated hemoglobin (HbA1c) decreased in both groups relative to baseline. In the test group, one had treatment-emergent beinaglutide ADAs. Significant reductions in triglycerides (TG), non-fasting TG, weight, waist circumference (WC), and body mass index (BMI) were observed. The values of insulin sensitivity index (HOMA-IR) were decreased to a statistically higher degree with beinaglutide treatment. Conclusion: Beinaglutide reduces metabolic dysfunction, LBGI, and weight in patients of T2D with a low risk of ADAs. Beinaglutide may offer the potential for a disease-modifying intervention in cardiovascular disease (CVD). Clinical trial registration: www.chictr.org.cn, identifier ChiCTR2200061003.