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This study aims to discover the association between serum osteocalcin, the Chinese visceral adiposity index (CVAI), and atherosclerotic cardiovascular disease (ASCVD) risk, and their impact on arterial stiffness in T2DM patients. We included 639 T2DM patients aged 30 and older who received the assessment of ASCVD risk using the China-PAR equation, Osteocalcin and arterial stiffness in this cross-sectional study. We found that osteocalcin and CVAI as independent risk factors for both medium-high-risk ASCVD (osteocalcin: men, OR,0.96, 95% CI 0.92, 1.00; women, OR, 0.93, 95% CI 0.8, 1.08, respectively)(CVAI: men, OR,1.01,95% CI 1.00,1.02; women: OR, 1.08, 95% CI 1.02,1.14, respectively) and arterial stiffness (osteocalcin: men, OR, 0.98, 95% CI 0.94,1.01; women, OR, 0.98, 95% CI 0.90,1.06, respectively)(CVAI: men, OR,1.0, 95% CI 0.99,1.01; women, OR, 1.02, 95% CI 1.00,1.04, respectively) in both men and women patients with T2DM. Combining osteocalcin levels and CVAI improved the prediction accuracy of arterial stiffness in men patients with T2DM (difference of AUC (Model 4 vs. Model 1) :1.5%, NRI: 0.06 [0.0,0.4]). All P-values were < 0.05. The results suggested that osteocalcin levels and CVAI are independent risk factors for ASCVD risk and arterial stiffness in T2DM. Combining osteocalcin and CVAI can enhance the early detection of atherosclerosis through male patients with T2DM., (© 2024. The Author(s).)

Background: The prevalence of steatotic liver disease (SLD) in patients with type 2 diabetes (T2DM) exceeds 50%. This study aimed to investigate the clinical characteristics of SLD and liver fibrosis in Chinese patients with T2DM., Methods: Inpatients from 2021 to 2023 were included in the study. Fatty liver index (FLI) and fibrosis-4 (FIB-4) were calculated to assess hepatic steatosis and fibrosis respectively. Statistical analysis was completed by SPSS v25 and GraphPad Prism v8.0.1., Results: Of the 1466 participants, about one-third of the patients in T2DM-SLD group were diagnosed with liver fibrosis (LF), and the percentage of patients over 50 years old was 85.9%. Patients with SLD had higher levels of BMI, blood pressure, liver enzymes, fasting blood glucose (FBG), HbA1c, C-peptide, total cholesterol (TC) and triglyceride (TG) (P<0.05 for all). Patients with liver fibrosis had lower TC, TG, hemoglobin (Hb), erythrocyte count (RBC), leukocyte count (WBC) and platelet (PLT) levels (P<0.05 for all). Compared with simple T2DM and SLD-NLF (non-liver fibrosis) groups, for patients over 50 years old, the prevalence of coronary heart disease, stroke, tumor, and diabetic nephropathy was higher in patients with liver fibrosis. Liver fibrosis might be the risk factor of arterial stiffness, stroke, coronary heart disease and numbness based on multivariable logistic regression analysis., Conclusion: Hepatic steatosis and fibrosis were common in patients with T2DM. Liver fibrosis was relevant to many macrovascular and microvascular diabetic complications., (© 2024. The Author(s).)

Aims: To investigate the impact of diagnosis age of type 2 diabetes mellitus (T2DM) on subsequent adverse outcomes within the Chinese population., Methods: 549,959 eligible T2DM patients were included from Ningbo and Jinhua city in Zhejiang province, China. Standardized ratio was used to evaluate the risks of coronary heart disease (CHD), stroke, cancer and all-cause death in different T2DM diagnosis age groups., Results: For all adverse outcomes, higher excess risks were observed in the youngest age group (30-39) than in the oldest age group (≥80) with T2DM. The standardized incidence ratios (SIR) were 5.93 (95% CI: 3.46, 10.14) for CHD, 5.45 (95% CI: 3.72, 7.99) for stroke and 1.85 (95% CI: 1.38, 2.49) for cancer in the youngest age group, and were 1.32 (95% CI: 1.08, 1.60) for CHD, 1.25 (95% CI: 1.08, 1.44) for stroke, and 0.78 (95% CI: 0.56, 1.09) for cancer, respectively, in the oldest age group. The standardized mortality ratios (SMR) for all-cause death were 3.15 (1.69, 5.84) vs. 1.12 (0.88, 1.43). These excess risks decreased with increasing diagnosis age (all P value < 0.001). Consistent results were observed when individuals were stratified by sex or further excluded with the time from T2DM diagnosis to endpoints less than 1 or 2 years., Conclusions: Th earlier the diagnosis of T2DM, the higher the risk for subsequent adverse outcomes. It is imperative to enhance the management and monitoring of early-onset patients during follow-up., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Aims: To replicate the European subtypes of type 2 diabetes mellitus (T2DM) in the Chinese diabetes population and investigate the risk of complications in different subtypes., Methods: A diabetes cohort using real-world patient data was constructed, and clustering was employed to subgroup the T2DM patients. Kaplan-Meier analysis and the Cox models were used to analyze the association between diabetes subtypes and the risk of complications., Results: A total of 2,652 T2DM patients with complete clustering data were extracted. Among them, 466 (17.57 %) were classified as severe insulin-deficient diabetes (SIDD), 502 (18.93 %) as severe insulin-resistant diabetes (SIRD), 672 (25.34 %) as mild obesity-related diabetes (MOD), and 1,012 (38.16 %) as mild age-related diabetes (MARD). The risk of chronic kidney disease (CKD) and diabetic retinopathy (DR) were different in the four subtypes. Compared with MARD, SIRD had a higher risk of CKD (HR 2.40 [1.16, 4.96]), and SIDD had a higher risk of DR (HR 2.16 [1.11, 4.20]). The risk of stroke and coronary events had no difference., Conclusions: The European T2DM subtypes can be replicated in the Chinese diabetes population. The risk of CKD and DR varied among different subtypes, indicating that proper interventions can be taken to prevent specific complications in different subtypes., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Aim: Diminished hepatic insulin clearance (HIC) is observed in obese adults and is presumed to be mediated by fatty liver. However, few reports have examined HIC in Chinese children with metabolic (dysfunction)-associated fatty liver disease (MAFLD). This study aimed to investigate the correlation between HIC, insulin sensitivity and β-cell function in obese Chinese children with MAFLD., Methods: In total, 204 obese children (74 MAFLD) aged 4-17 years were enrolled into this study. HIC, insulin sensitivity and β-cell function were calculated using the oral glucose tolerance test (1.75 g/kg body weight). Correlation analyses between the HIC and clinical variables were performed using Pearson's product-moment correlation coefficients. HIC and glucose homeostasis were assessed in a high-fat diet mouse model, and liver samples were collected for molecular analysis., Results: Obese children with MAFLD exhibited significantly lower HIC (AUC C-peptide/insulin ratio , p = 0.0019), higher insulin resistance (homeostatic model assessment of insulin resistance, p = 0.002), and increased compensatory β-cell function (homeostatic model assessment-β, p = 0.046) than obese children without liver involvement. Notably, HIC was negatively correlated with insulin sensitivity (r = -0.5035, p < 0.0001) and β-cell function (r = -0.4576, p < 0.0001). However, pancreatic β-cell dysfunction (p = 0.046) was accompanied by future reduced HIC (p = 0.034) in children with MAFLD in prediabetes. In a high-fat diet mouse model, MAFLD mice showed a 50% reduction in insulin-degrading enzyme expression, consistent with the observed decrease in HIC., Conclusions: A lower HIC may offload pancreatic β-cells at an early stage. However, obese children with MAFLD are at risk of developing diabetes, and preventive efforts should be prioritized., (© 2024 John Wiley & Sons Ltd.)

Aims/Background To implement a co-management mode among community-level diabetes patients and analyze its impact on diagnosis and treatment compliance and diabetic retinopathy of the patients. Methods A total of 80 patients who underwent diabetic retinopathy examination in Lanxi People's Hospital from January 2021 to March 2022 were retrospectively selected as the study objects. The clinical data of the patients were analyzed, including 40 patients who adopted the conventional diabetes management mode from January 2021 to August 2021 as the control group. From September 2021 to March 2022, 40 patients in the county medical service community diabetes management team model were adopted as the management group. The two groups of patients were compared in terms of diabetic retinopathy indictors, biochemical examination indicators, self-management ability, and nursing management satisfaction. Results Number of patients complying with treatment protocols in the management group was higher than that in the control group ( p < 0.05). The blood spot area, macular thickness, hemangioma volume, and visual-field grayscale value in the management group at the last follow-up were all lower than those in the control group ( p < 0.05). The levels of diastolic blood pressure (DBP), systolic blood pressure (SBP), fasting blood glucose (FBG), hemoglobin A1C (HbA1c), total cholesterol (TC), and triglyceride (TG) in the management group at the last follow-up were all lower than those in the control group ( p < 0.05). The scores of disease cognition ability, self-management ability, and nursing management satisfaction in the management group were all higher than those in the control group ( p < 0.05). Conclusion By changing management concept and implementing the whole-process management and treatment mode for diabetic patients within the scope of the county medical service community, the diagnosis and treatment compliance of the patients can be improved, and the effective control of blood glucose, blood pressure, and blood lipid levels can be achieved, thereby improving the self-management ability and nursing management satisfaction of the patients and providing a new nursing mode for chronic disease management.

Objective: To evaluate the prevalence and risk factors of painful diabetic peripheral neuropathy (PDPN) in patients with type 2 diabetic peripheral neuropathy (DPN) in Hunan Province, and establish and verify the prediction model., Methods: This was a retrospective study involving 4908 patients, all patients were randomly divided into the training dataset(3436 cases)and the validation dataset (1472 cases) in a ratio of 7:3. Electroneurogram, clinical signs,and symptoms were used to evaluate neuropathy. Least absolute shrinkage and selection operator (LASSO) regression was used to select the optimal factors, and multifactorial logistic regression analysis was used to build a clinical prediction model. Calibration plots, decision curve analysis (DCA), and subject work characteristic curves (ROC) were used to assess the predictive effects., Result: The prevalence of PDPN was 33.2%, and the multivariate logistic regression model showed that peripheral artery disease, duration of diabetes, smoking, and HBA1c were independent risk factors for PDPN in patients with type 2 diabetes. ROC analysis results showed that the AUC of the established prediction model was 0.872 in the training dataset and 0.843 in the validation dataset. The calibration curve and decision curve show that the model has good consistency and significant net benefit., Conclusion: 33.2% of DPN patients had PDPN in Hunan Province, China. Peripheral artery disease, duration of diabetes, smoking, and HBA1c are risk factors for PDPN in patients with type 2 diabetes. The prediction model is based on the above factors, which can well predict the probability of PDPN., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Yu, Zhao, Cao and Xie.)

Objective: To evaluate whether the intense simplified strategy, which comprises short term intensive insulin therapy (SIIT) followed by subsequent oral antihyperglycaemic regimens, could improve long term glycaemic outcomes in patients with newly diagnosed type 2 diabetes mellitus and severe hyperglycaemia., Design: Multicentre, open label, randomised trial., Setting: 15 hospitals in China between December 2017 and December 2020., Participants: 412 patients with newly diagnosed type 2 diabetes and significant hyperglycaemia (HbA 1c ≥8.5%)., Interventions: All randomised participants initially received SIIT for 2-3 weeks, followed by linagliptin 5 mg/day, metformin 1000 mg/day, combination linagliptin plus metformin, or lifestyle modification alone (control) for 48 weeks., Main Outcome Measures: The primary outcome was the percentage of participants achieving HbA 1c <7.0% at week 48 after SIIT. Secondary outcomes included glycaemic control, β cell function, and variations in insulin sensitivity., Results: 412 participants were randomised. At baseline, the mean age was 46.8 (standard deviation 11.2) years, mean body mass index was 25.8 (2.9), and mean HbA 1c was 11.0% (1.9%). At week 48, 80% (78/97), 72% (63/88), and 73% (69/95) of patients in the linagliptin plus metformin, linagliptin, and metformin groups, respectively, achieved HbA 1c <7.0%, compared with 60% (56/93) in the control group (P=0.02 overall; P=0.003 for linagliptin plus metformin versus control; P=0.12 for linagliptin versus control; P=0.09 for metformin versus control). Additionally, 70% (68/97), 68% (60/88), and 68% (65/95) of patients in the linagliptin plus metformin, linagliptin, and metformin group, respectively, achieved HbA 1c <6.5% compared with 48% (45/93) in the control group (P=0.005 overall; P=0.005 for linagliptin plus metformin versus control; P=0.01 for linagliptin versus control; P=0.008 for metformin versus control; all were significant after adjustment for multiple comparisons). Thus, compared with the control group, participants in the linagliptin plus metformin group were more likely to achieve HbA 1c <7.0% at week 48 (odds ratio 2.78, 95% confidence interval 1.37 to 5.65; P=0.005). Moreover, the linagliptin plus metformin group showed the most significant improvement in fasting plasma glucose and β cell function indices. All treatments were well tolerated., Conclusions: The intense simplified strategy using subsequent oral therapies post-SIIT, especially the linagliptin plus metformin combination, sustainably improved glycaemic control and β cell function in patients with newly diagnosed type 2 diabetes mellitus and severe hyperglycaemia. This approach offers a promising direction for decision making in the clinical management of type 2 diabetes mellitus., Trial Registration: ClinicalTrials.gov NCT03194945., Competing Interests: Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: support from the Ministry of Science and Technology of China, Science and Technology Department of Guangdong Province, Guangzhou Science and Technology Bureau, and Boehringer-Ingelheim for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. No commercial re-use. See rights and permissions. Published by BMJ.)

Introduction: In patients with rheumatoid arthritis (RA), the increased risk of concomitant type 2 diabetes mellitus (T2D) is an important contributor to increased mortality and decreased quality of life; however, the mechanisms and pathogenetic factors remain unknown., Methods: In this study, we aimed to assess the risk factors for T2D in patients with RA. We recruited 206 healthy controls and 488 patients with RA, 160 of whom had comorbid T2D. General clinical information, disease characteristics, and circulating lymphocyte levels detected using modified flow cytometry were collected from all participants. Logistic regression models adjusted for confounders were fitted to estimate the risk factors of T2D in patients with RA., Results: The incidence of RA in patients with T2D was 15.6%. Patients with RA and T2D had a longer disease duration, higher BMI, and a higher incidence of hypertension and a family history of diabetes than those with RA but no T2D. The absolute numbers of T helper 2 cell (Th2) and Regulatory T cells (Treg) decreased in patients with RA and T2D, which led to an increase in the ratios of Th1/Th2 and Th17/Treg cells. Multivariate logistic regression analysis showed that a family history of diabetes, a higher incidence of hypertension, higher neutrophil-lymphocyte ratio (NLR) levels, lower platelet-lymphocyte ratio (PLR) levels, and fewer circulating Th2 and Treg cells were associated with an increased risk of T2D in patients with RA., Discussion: The levels of peripheral lymphocytes, especially Th2 and Treg cells, are closely related to the occurrence of T2D in patients with RA; however, the influence of body mass index (BMI), family history of diabetes, and systemic inflammation should not be ignored., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Pei, Wang, He, Yu, Zhang, Shi, Liu and Li.)

Purpose: To investigate the association between mean ocular perfusion pressure (MOPP), estimated cerebrospinal fluid pressure (CSFP), and changes in diabetic retinopathy (DR) in a Southern Chinese population with type 2 diabetes (T2DM)., Methods: A total of 1224 subjects from the Guangzhou Diabetic Eye Study were enrolled. Systolic blood pressure (SBP), diastolic blood pressure (DBP), and intraocular pressure (IOP) were measured. MOPP was calculated with the formula: MOPP = 2/3 [DBP + 1/3 (SBP - DBP)] - IOP. CSFP was calculated using the formula: CSFP = 0.44 × body mass index (kg/m2) + 0.16 × DBP - 0.18 × age (years) - 1.91. Incidence, progression, and regression of DR were graded based on seven-field 45° conventional fundus photographs at baseline and during two-year follow-up examinations according to the United Kingdom National Diabetic Eye Screening Program guidelines., Results: Higher MOPP was associated with DR incidence in the multivariate model (per 1 mm Hg increase: relative risk, 1.05; 95% confidence interval, 1.01-1.09; P = 0.02) and was not associated with DR development and DR regression in two-year follow-up of T2DM patients. However, CSFP was not associated with DR changes (incidence, progression, or regression)., Conclusions: The higher MOPP is an independent risk factor for DR incidence among T2DM patients in a Southern Chinese cohort. Monitoring MOPP and managing blood pressure can be part of a comprehensive approach to prevent or delay the onset of DR in T2DM patients., Translational Relevance: MOPP might be an indicator for the detection of DR incidence.

Aim: The 2019 ESC/EASD guidelines categorize cardiovascular disease risk (CVD) in patients with diabetes mellitus (DM). Assessing CVD risk is necessary to identify individuals at very high risk of CVD, enabling tailored and precise intervention for this high-risk population. This study aims to evaluate the severity of a very high risk for CVD stratification among patients with type 2 DM (T2DM) across different regions in China., Methods: We conducted a cross-sectional screening study from 1 January 2020 to 30 December 2022. Disease duration, body mass index (BMI), targeted organ damage, such as atherosclerotic heart disease, proteinuria, impaired renal function, left ventricular hypertrophy, retinopathy and known CVD risk factors, were collected from diabetic patients by professionally trained physicians. The risk of CV in patients with DM was categorized into two groups: very high risk and others, according to the 2019 ESC/EASD guidelines., Results: In total, 1 870 720 participants from 1669 hospitals in 30 provinces of China, excluding Tibet, Taiwan, Hong Kong and Macao, were enrolled from 2020 to 2022, among whom 67.50% of patients with T2DM were at very high risk for CVD. The proportions of very high-risk T2DM were higher in Northeast China (75.82%), Central China (73.65%) and Southwest China (72.66%), while the lowest prevalence of very high-risk T2DM was found in Southern China (60.15%). The multivariate binary logistic regression analyses suggested that the category of very high risk for CVD is associated with age [odds ratio (OR) = 1.04; 95% confidence interval (CI): 1.04-1.04; p < .0001], BMI (OR = 1.07; 95% CI: 1.07-1.07; p < .0001), duration of DM (OR = 1.05; 95% CI: 1.05-1.05; p < .0001), hypertension (OR = 3.75; 95% CI: 3.72-3.78; p < .0001), dyslipidaemia (OR = 5.22; 95% CI: 5.18-5.27; p < .0001) and smoking (OR = 2.92; 95% CI: 2.89-2.95; p < .0001)., Conclusions: This study represented the largest observational study of CVD risk assessment in patients with T2DM in China. The CVD risk situation of patients with diabetes in China is critical, and comprehensive control and management of CVD risk factors, such as hypertension, BMI and dyslipidaemia, in patients with DM need to be strengthened in patients with T2DM in China., (© 2024 John Wiley & Sons Ltd.)

Aim: To evaluate the impact of non-alcoholic fatty liver disease (NAFLD) presence and fibrosis risk on adverse outcomes in patients with type 2 diabetes and chronic kidney disease., Methods: Data were sourced from two longitudinal cohorts: 1172 patients from the National Health and Nutrition Examination Survey (NHANES) and 326 patients from the kidney biopsy cohort at the West China Hospital of Sichuan University. Cox regression estimated hazard ratios (HRs) for NAFLD and liver fibrosis concerning adverse clinical outcomes. Subsequently, a two-sample Mendelian randomization study using genome-wide association study statistics explored NAFLD's potential causal link to cardio-cerebrovascular events., Results: In the NHANES cohort, NAFLD stood as an independent risk factor for various outcomes: overall mortality [HR 1.53 (95% confidence interval, CI 1.21-1.95)], mortality because of cardio-cerebrovascular diseases [HR 1.63 (95% CI 1.12-2.37)], heart disease [HR 1.58 (95% CI 1.00-2.49)], and cerebrovascular disease [HR 3.95 (95% CI 1.48-10.55)]. Notably, advanced liver fibrosis, identified by a fibrosis-4 (FIB-4) score >2.67, exhibited associations with overall mortality, cardio-cerebrovascular disease mortality and heart disease mortality. Within the kidney biopsy cohort, NAFLD correlated with future end-stage kidney disease [ESKD; HR 2.17 (95% CI 1.41-3.34)], while elevated FIB-4 or NAFLD Fibrosis Scores predicted future ESKD, following full adjustment. Liver fibrosis was positively correlated with renal interstitial fibrosis and tubular atrophy in biopsies. Further Mendelian randomization analysis supported a causal relationship between NAFLD and cardio-cerebrovascular events., Conclusions: In patients with type 2 diabetes and chronic kidney disease, the NAFLD presence and elevated FIB-4 scores link to heightened mortality risk and ESKD susceptibility. Moreover, NAFLD shows a causal relationship with cardio-cerebrovascular events., (© 2024 John Wiley & Sons Ltd.)

Background: The pericoronary fat attenuation index (FAI) has emerged as a novel and sensitive biomarker reflecting the degree of coronary artery inflammation. Semaglutide has been demonstrated to exert a cardiovascular protective effect independent of hypoglycemia; however, its impact on coronary artery inflammation remains elusive. This study aimed to investigate the association between semaglutide treatment and coronary artery inflammation based on FAI in patients with type 2 diabetes mellitus (T2DM)., Methods: This study enrolled 497 T2DM patients who underwent coronary computed tomography angiography (CCTA) at Hebei General Hospital, of whom 93 treated with semaglutide (Sema+) and 404 did not (Sema-). Clinical data, laboratory indicators, and CCTA parameters were collected and compared between the two groups at baseline. Propensity score matching (PSM) was used to adjust for confounders, and pericoronary FAI was compared. Multivariate linear regression models were used to analyze the association between semaglutide treatment and pericoronary FAI., Results: Before PSM, pericoronary FAI of the LAD and LCX was lower in patients treated with semaglutide than those without semaglutide treatment. The results of the PSM analysis revealed a lower FAI in all three major coronary arteries in the Sema + group compared to the Sema- group. Multivariate linear regression analyses revealed an independent association between semaglutide treatment and reduced FAI in all three major coronary arteries. This association varied across T2DM patients of differing profiles., Conclusion: Semaglutide treatment may be associated with lower coronary artery inflammation in patients with T2DM, which might partially explain its cardiovascular protective mechanism., (© 2024. The Author(s).)

Background: The coexistence of tuberculosis (TB) and type 2 diabetes mellitus (DM) presents unique challenges in treatment optimization and management, given the mutual exacerbation of disease processes., Objective: This multicenter, open-label, randomized controlled trial aims to evaluate the efficacy and safety of two different treatment durations (6-month versus 9-month regimens) regimen for patients with drug-susceptible pulmonary tuberculosis (DS-PTB) and concurrent type 2 diabetes (DM)., Methods: Patients with DS-PTB and type-2 DM from 22 hospitals in China are enrolled. They are randomized in a 1:1 ratio into either the 6-month regimen arm(2HRZE/4HR) or the 9-month regimen arm(2HRZE/7HR). At the end of the intensive phase (the 8th week), patients in both arms who with sputum positive smear will extent one more month of intensive treatment. The primary outcome is the proportion of unfavorable outcomes at 24 months after randomization. Secondary outcomes include treatment success rate at the end of treatment, proportion of recurrence at 24 months after randomization, time to recurrence after treatment completion, proportion of intensive phrase extension, occurrence of adverse events grade 3 or above during treatment., Discussion: The study focuses on assessing the optimal treatment duration to maximize treatment success while minimizing recurrence and adverse events. The trial is expected to provide vital insights into the appropriate treatment duration for patients with TB-DM, aiming to reduce recurrence rates and improve overall treatment outcomes in this vulnerable population., Trail Registration: Chictr.org.cn, ChiCTR2100044663. Registered on March 25, 2021., (© 2024. The Author(s).)

Background: In this study, we aimed to assess the associations between early exposure to famine and the risks of diabetic complications in adult patients with type two diabetes., Methods: The participants in this study were selected from China National HbA1c Surveillance System (2009-13) and further stratified according to the birth year. The participants born between 1956-59, 1959-61, and 1962-64 were classified as foetal exposed group with 70 852, infant/toddler exposed group with 93 616, and unexposed group with 72 723 participants. The association between exposure to famine in early life and risks of diabetic complications were analysed by logistic regression. We assessed the attributing effects of the interaction between exposure to famine in early life and modifiable risk factors by the multiplicative and additive interactive models., Results: After adjustments for sex, famine severity, economic status in adulthood, body mass index, blood pressure, low-density lipoprotein cholesterol, glycated haemoglobin, diabetes duration, and the use of antidiabetic agents, the increased risks of coronary heart disease (odds ratio (OR) = 1.31; 95% CI (confidence interval) = 1.26, 1.36), cerebrovascular disease (OR = 1.32; 95% CI = 1.24, 1.41), and diabetic retinopathy (OR = 1.06; 95% CI = 1.02, 1.10) were observed in patients with early-life exposure to famine. The reduced risk of diabetic kidney disease (OR = 0.94; 95% CI = 0.90, 0.99) was observed in patients with early-life exposure to famine compared with those without famine exposure. The interaction analyses indicated that obesity might exacerbate the increased risk of coronary heart disease (OR = 1.26; 95% CI = 1.22, 1.30), cerebrovascular disease (OR = 1.26; 95% CI = 1.21, 1.32), and diabetic retinopathy associated with early-life exposure to famine (OR = 1.09; 95% CI = 1.06, 1.12) in patients with type two diabetes. Moreover, high economic status in adulthood might also exacerbate the increased risk of coronary heart disease (OR = 1.35; 95% CI = 1.30, 1.40) and cerebrovascular disease (OR = 1.33; 95% CI = 1.23, 1.43) associated with early-life exposure to famine in patients with type two diabetes., Conclusions: Early-life exposure to famine in patients with type two diabetes might be associated with increased risks of coronary heart disease, cerebrovascular disease, and diabetic retinopathy but a reduced risk of diabetic kidney disease in adulthood. Obesity and high economic status might further exacerbate the risk of diabetic complications associated with early-life exposure to famine. Improving early-life nutritional status may promote better risk prevention and management of diabetic complications in patients with type two diabetes., Competing Interests: Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and declare the following activities and relationships: Linong Ji has received fees for lecture presentations and for consulting from AstraZeneca, Merck, Metabasis, MSD, Novartis, Eli Lilly, Roche, Sanofi-Aventis and Takeda. No other support from any organisation for the submitted work other than that described above., (Copyright © 2024 by the Journal of Global Health. All rights reserved.)

Objective: To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM). Methods: Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve. Results: The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI : 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion: In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Background: Numerous reports indicate that both obesity and type 2 diabetes mellitus (T2DM) are factors associated with cognitive impairment (CI). The objective was to assess the relationship between abdominal obesity as measured by waist-to-hip ratio adjusted for body mass index (WHRadjBMI) and CI in middle-aged and elderly patients with T2DM., Methods: A cross-sectional study was conducted, in which a total of 1154 patients with T2DM aged ≥ 40 years were included. WHRadjBMI was calculated based on anthropometric measurements and CI was assessed utilizing the Montreal Cognitive Assessment (MoCA). Participants were divided into CI group (n = 509) and normal cognition group (n = 645). Correlation analysis and binary logistic regression were used to explore the relationship between obesity-related indicators including WHRadjBMI, BMI as well as waist circumference (WC) and CI. Meanwhile, the predictive power of these indicators for CI was estimated by receiver operating characteristic (ROC) curves., Results: WHRadjBMI was positively correlated with MoCA scores, independent of sex. The Area Under the Curve (AUC) for WHRadjBMI, BMI and WC were 0.639, 0.521 and 0.533 respectively, and WHRadjBMI had the highest predictive power for CI. Whether or not covariates were adjusted, one-SD increase in WHRadjBMI was significantly related to an increased risk of CI with an adjusted OR of 1.451 (95% CI: 1.261-1.671). After multivariate adjustment, the risk of CI increased with rising WHRadjBMI quartiles (Q4 vs. Q1 OR: 2.980, 95%CI: 2.032-4.371, P for trend < 0.001)., Conclusions: Our study illustrated that higher WHRadjBMI is likely to be associated with an increased risk of CI among patients with T2DM. These findings support the detrimental effects of excess visceral fat accumulation on cognitive function in middle-aged and elderly T2DM patients., (© 2024. The Author(s).)

Objective: The prevalence of type 2 diabetes mellitus (T2DM) and bone metabolism disorders increase with age. Diabetic kidney disease (DKD) is one of the most serious microvascular complications of T2DM, and bone metabolism disorders are closely linked to the occurrence of DKD. The relationship between bone turnover markers(BTMs) and the kidney disease in elderly patients with T2DM remains unclear. Therefore, this study aims to investigate the association between common BTMs and DKD in a large sample of elderly patients. The goal is to provide a basis for early identification of high-risk individuals for DKD among elderly T2DM patients from a bone metabolism perspective., Methods: In this cross-sectional study, BTMs were collected from a cohort of 2,051 hospitalized Chinese patients. The relationships between 25-hydroxyvitamin D (25-OH-D), β-CrossLaps (β-CTX), osteocalcin (OSTEOC), intact parathyroid hormone (iPTH), and total type I collagen N-terminal propeptide (TP1NP), and DKD, as well as urinary albumin-to-creatinine ratio (UACR) and estimated glomerular filtration rate (eGFR) were analyzed using regression analysis and restrictive cubic spline (RCS) curves., Results: Higher 25-OH-D levels were independently linked to a lower incidence of DKD and decreased UACR. The RCS curves showed a linear association of 25-OH-D and DKD, approaching the L-shape. β-CTX was independently and positively correlated with UACR. There is an independent positive correlation between OSTEOC and UACR and a negative correlation with eGFR. iPTH is independently and positively correlated with DKD incidence and UACR, and negatively correlated with eGFR. Additionally, the RCS curves showed a non-linear association of OSTEOC and iPTH and DKD, approaching the J-shape, and the point of inflection is 10.875 ng/L and 34.15 pg/mL respectively. There is an independent positive correlation between TP1NP and UACR incidence, and a negative correlation with eGFR. Risk estimates significantly increase with higher TP1NP levels in the RCS model., Conclusion: BTMs are closely associated with kidney disease in elderly patients with T2DM. These discoveries potentially assist clinicians in establishing more preventive measures and targeted treatment strategies for elderly patients with T2DM., (© 2024. The Author(s).)

Objective: The purpose of this study was to compare different intensities of aerobic exercise for patients with knee osteoarthritis (KOA) and type 2 diabetes mellitus (T2DM) in terms of glycemic control, pain relief, and functional outcomes., Methods: A prospective randomized open-label parallel multicenter clinical trial conducted at two hospitals in Shanghai and Sichuan that included 228 patients with type 2 diabetes mellitus (T2DM) and knee osteoarthritis (KOA). Enrollment occurred between January 2021 and February 2023, and follow-up was completed in September 2023. Participants were randomized to threshold training/high-intensive stationary cycling training (n=76), intensive endurance/moderate-intensive stationary cycling training (n=77), and regular rehabilitation programs (n=75). The primary outcome at the 6-month follow-up was the HbA1c level. Key secondary outcomes included the Knee Injury and Osteoarthritis Outcome Score (KOOS) subscale of pain and quality of life., Results: Of 228 patients, 212 (93%) completed the trial. The mean adjusted (sex, baseline BMI, and baseline outcome measures) HbA1c level at the 6-month follow-up decreased significantly in the high-intensive training group compared with other groups (high-intensity group vs. control group; difference, 0.51%, 95% confidence interval, 0.05% to 1.15%). Mean KOOS subscales of pain and quality of life were statistically significantly different between the control group and moderate-intensity or high-intensity groups, but no statistical differences were noted between the different intensities of aerobic exercise. Patients in all groups achieved a greater reduction in BMI but no significant differences were observed between groups., Conclusion: In KOA and T2DM patients, high-intensity stationary cycling can significantly improve glycemic control compared with moderate-intensity and regular rehabilitation programs. However, high-intensity stationary cycling does not exert a superior effect on pain relief and functional improvement for KOA compared with moderate-intensity and regular rehabilitation programs., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Su, Huang, Tu and Lu.)

Aim: To develop 10-year cardiovascular disease (CVD) risk prediction models in Chinese patients with type 2 diabetes mellitus (T2DM) managed in primary care using machine learning (ML) methods., Methods: In this 10-year population-based retrospective cohort study, 141 516 Chinese T2DM patients aged 18 years or above, without history of CVD or end-stage renal disease and managed in public primary care clinics in 2008, were included and followed up until December 2017. Two-thirds of the patients were randomly selected to develop sex-specific CVD risk prediction models. The remaining one-third of patients were used as the validation sample to evaluate the discrimination and calibration of the models. ML-based methods were applied to missing data imputation, predictor selection, risk prediction modelling, model interpretation, and model evaluation. Cox regression was used to develop the statistical models in parallel for comparison., Results: During a median follow-up of 9.75 years, 32 445 patients (22.9%) developed CVD. Age, T2DM duration, urine albumin-to-creatinine ratio (ACR), estimated glomerular filtration rate (eGFR), systolic blood pressure variability and glycated haemoglobin (HbA1c) variability were the most important predictors. ML models also identified nonlinear effects of several predictors, particularly the U-shaped effects of eGFR and body mass index. The ML models showed a Harrell's C statistic of >0.80 and good calibration. The ML models performed significantly better than the Cox regression models in CVD risk prediction and achieved better risk stratification for individual patients., Conclusion: Using routinely available predictors and ML-based algorithms, this study established 10-year CVD risk prediction models for Chinese T2DM patients in primary care. The findings highlight the importance of renal function indicators, and variability in both blood pressure and HbA1c as CVD predictors, which deserve more clinical attention. The derived risk prediction tools have the potential to support clinical decision making and encourage patients towards self-care, subject to further research confirming the models' feasibility, acceptability and applicability at the point of care., (© 2024 The Author(s). Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Aim: To determine the association of the presence of diabetes and, among persons with diabetes, the age at type 2 diabetes mellitus (T2DM) onset, BMI and the interactive effect with the subsequent thyroid cancer risk., Materials and Methods: We conducted a population register-based longitudinal cohort study in Shanghai, including 428 568 persons with new-onset T2DM matched with the general population. The risk of thyroid cancer among subgroups was calculated based on standardized incidence ratio (SIR), hazard ratio (HR) and Cox proportional hazards models., Results: In total, 1142 thyroid cancer cases were identified during 8 years of follow-up, with an incidence rate of 59.01/100 000 person-years and a higher risk (SIR = 1.21) compared with the general population. The earlier age at T2DM onset and higher BMI were associated with an increasing risk of thyroid cancer independently (onset age <50, SIR: 1.46; BMI ≥30.0 kg/m 2 , SIR: 1.93), with the highest risk in patients with both BMI ≥30.0 kg/m 2 and onset age <50 years (SIR = 3.91, HR = 3.04). Among patients with T2DM onset age <60 years, SIR increased with higher BMI, while there were no trends when onset age ≥60 years. Among patients with BMI ≥25.0 kg/m 2 , SIR increased with an earlier onset age, whereas no trends were shown in the BMI <24.9 kg/m 2 groups. Obese (BMI ≥30.0 kg/m 2 ) patients had a significantly higher HR of thyroid cancer only when T2DM onset age <60 years., Conclusions: Both earlier age of T2DM onset (<50 years) and higher BMI (≥30 kg/m 2 ) contributed to the higher risk of thyroid cancer. Patients with young-onset T2DM and obesity are considered more vulnerable to thyroid cancer development., (© 2024 John Wiley & Sons Ltd.)

Aim: To compare the effects of iGlarLixi versus insulin glargine 100 U/mL (iGlar) on residual hyperglycaemia in Chinese people with uncontrolled type 2 diabetes (T2D) on prior basal insulin (BI) therapy ± oral antidiabetic drugs in the LixiLan-L-CN study (NCT03798080)., Materials and Methods: In this post hoc analysis, residual hyperglycaemia (i.e. HbA1c ≥ 7.0% [≥ 53 mmol/mol] and fasting plasma glucose [FPG] < 7.0 mmol/L) were assessed over 30 weeks. Outcomes were assessed at week 30 in participants with baseline residual hyperglycaemia, including changes from baseline in HbA1c, FPG, 2-hour postprandial glucose (PPG) and daily BI dose, the proportion of participants with HbA1c less than 7.0% (< 53 mmol/mol) and FPG less than 7.0 mmol/L and the incidence of hypoglycaemia., Results: Of 421 participants, 124 (29.5%) had baseline residual hyperglycaemia (iGlarLixi, n = 64 [31.7%]; iGlar, n = 60 [29.1%]). At week 30, the residual hyperglycaemia rate decreased to 7.0% with iGlarLixi and increased to 43.3% with iGlar. Among participants with baseline residual hyperglycaemia, a greater proportion achieved both HbA1c and FPG targets at week 30 with iGlarLixi versus iGlar (43.8% vs. 16.7%), and iGlarLixi provided greater reductions in HbA1c (least squares mean [LSM] difference, -0.9% [-9.4 mmol/mol]) and 2-hour PPG (LSM difference, -4.7 mmol/L; both P < .001). Daily BI dose and incidence of hypoglycaemia were similar in the two groups., Conclusions: The findings of this post hoc analysis suggest that iGlarLixi had greater benefits than iGlar in reducing the rate of residual hyperglycaemia over 30 weeks in Chinese people with suboptimally controlled T2D on prior BI-based therapy., (© 2024 The Author(s). Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Background: Cardiovascular disease (CVD) is the leading cause of mortality in type 2 diabetes mellitus (T2DM) patients. Shrunken pore syndrome (SPS) is defined as eGFR cystatin C /eGFR creatinine ratio <0.70 and predicts high CVD mortality. The Framingham Risk Score (FRS) is used to estimate an individual's 10-year CVD risk. This study investigated the association between FRS and eGFR cystatin C /eGFR creatinine ratio in T2DM patients., Methods: Patients aged 18-80 years who were newly diagnosed with T2DM were included in this retrospective study. Ordinal logistic regression analysis was used to investigate the association between risk factors of T2DM and FRS. A Generalized Linear Model was used to calculate odds ratios (OR) and 95% confidence intervals (CI)., Results: There were 270 patients included in the study. Only 27 patients (10%) met the diagnostic criteria of SPS. Ordinal logistic regression analysis showed that SPS was not correlated with FRS risk (OR = 1.99, 95%CI = 0.94-4.23, p  = 0.07), whereas eGFR cystatin C /eGFR creatinine (OR = 0.86, 95%CI = 0.77-0.97, p  = 0.01) showed a significant negative association with FRS risk. Compared with eGFR cystatin C /eGFR creatinine >0.85, eGFR cystatin C /eGFR creatinine ≤0.85 increased FRS risk (OR = 1.95, 95%CI = 1.18-3.21, p  < 0.01). After adjustment for confounding factors, increased eGFR cystatin C /eGFR creatinine ratio was associated with decreased FRS risk when considered as a continuous variable (OR = 0.87, 95%CI = 0.77-0.99, p  = 0.03). The FRS risk in patients with eGFR cystatin C /eGFR creatinine ≤0.85 is 1.86 times higher than that in patients with eGFR cystatin C /eGFR creatinine >0.85 (OR = 1.86, 95%CI = 1.08-3.21, p  = 0.03)., Conclusions: In the current study, no significant association between SPS and FRS was identified. However, lower eGFR cystatin C /eGFR creatinine and eGFR cystatin C /eGFR creatinine ≤0.85 were associated with a significantly increased CVD risk in T2DM.

Aim: Diabetic nephropathy (DN) is the most common cause of end-stage kidney disease (ESKD). Remnant cholesterol has been investigated as a predictor for the progression of DN in type 1 diabetes mellitus patients, as well as the incidence of DN in type 2 diabetes mellitus (T2DM) patients. This study aimed to evaluate the longitudinal relationship between baseline remnant cholesterol and kidney outcomes using a Chinese T2DM with biopsy-confirmed DN cohort., Methods: We included 334 patients with T2DM and biopsy-confirmed DN during 2010-2019 West China Hospital T2DM-DN cohort. Remnant cholesterol was defined by Martin-Hopkins equation. Patients were divided into four groups based on the median (IQR) remnant cholesterol concentration at the time of renal biopsy. The kidney outcome was defined as ESKD, which was defined as the need for chronic kidney replacement therapy or estimated glomerular filtration rate (eGFR) < 15 mL/min/1.73 m 2 . The relationship between remnant cholesterol and kidney outcome was analyzed using the Kaplan‒Meier method and Cox regression analysis., Results: The mean age was 51.1 years, and 235 (70%) were men. During follow-up, a total of 121 (36.2%) patients reached ESKD. The Kaplan‒Meier analysis showed that patients in the highest quartile (quartile 4) group had lower cumulative renal survival (log-rank test, p = 0.033) and shorter median renal survival time [34.0 (26.4-41.6) vs. 55.0 (29.8-80.2) months] than patients in the lowest quartile (quartile 1) group. By univariate analysis, the high remnant cholesterol group was associated with a higher risk of progression to ESKD. Moreover, the risk of progression to ESKD in the highest quartile was still 2.857-fold (95% CI 1.305-6.257, p = 0.009) higher than that in the lowest quartile, and one-SD increase of remnant cholesterol was associated with a higher risk (HR = 1.424; 95% CI 1.075-1.886, p = 0.014) of progression to ESKD, after adjusted for confounding factors., Conclusions: High remnant cholesterol is independently associated with a higher risk of ESKD in patients with T2DM-DN, and it may be a new noninvasive marker of ESKD., Clinical Relevance: Calculated remnant cholesterol has the advantages of being economical and clinically accessible. Moreover, to our knowledge, there are no longitudinal cohort studies for investigating the risk of progression of T2DM-DN to ESKD. In our study, higher remnant cholesterol was associated with a higher risk of ESKD in patients with T2DM-DN, and it may be a new noninvasive predictor of ESKD., Competing Interests: Compliance with ethical standards Conflict of interest The authors declare no competing interests. Ethics approval The study protocol was approved by the Institutional Review Board at the West China Hospital of Sichuan University [number 2013R01]. Informed consent All patients provided informed consent and written informed consent was obtained from all participants., (© 2024. The Author(s).)

Background: Chronic kidney disease (CKD) is a significant long-term complication of diabetes and is a primary contributor to end-stage kidney disease., Objective: This study aimed to report comprehensive nationwide data on the prevalence, screening, and awareness rates of CKD in Chinese patients with type 2 diabetes, along with associated risk factors., Methods: Baseline data analysis of the ongoing prospective, observational IMPROVE study was conducted. The study cohort comprised patients who had been diagnosed with type 2 diabetes more than 12 months prior, received at least 1 hypoglycemic medication, and were aged ≥18 years. The participants completed questionnaires and underwent laboratory assessments, including blood and urine samples. The data encompassed patient demographics, medical history, concurrent medications, and comorbidities. Comprehensive evaluations involved physical examinations, urinary albumin-to-creatinine ratio (UACR), estimated glomerular filtration rate (eGFR), glycated hemoglobin (HbA 1c ), fasting blood glucose, 2-hour postprandial blood glucose, fasting blood lipid profile, and urinalysis. Descriptive statistics were applied for data interpretation, and logistic regression analyses were used to identify the CKD-associated risk factors in patients with type 2 diabetes., Results: A national study from December 2021 to September 2022 enlisted 9672 participants with type 2 diabetes from 45 hospitals that had endocrinology departments. The enrollees were from diverse regions in China, as follows: central (n=1221), east (n=3269), south (n=1474), north (n=2219), and west (n=1489). The prevalence, screening, and awareness rates of CKD among patients with type 2 diabetes were 31% (2997/9672), 27% (810/2997), and 54.8% (5295/9672), respectively. Multivariate binary regression analysis revealed that the CKD risk factors were screening, awareness, smoking, age, diabetes duration, concurrent antihypertensive and microcirculation medications, diabetic complications (foot, retinopathy, and neuropathy), hypertension, elevated low-density lipoprotein (LDL) cholesterol, and suboptimal glycemic control. Subgroup analysis highlighted an increased CKD prevalence among older individuals, those with prolonged diabetes durations, and residents of fourth-tier cities. Residents of urban areas that had robust educational and economic development exhibited relatively high awareness and screening rates. Notably, 24.2% (1717/7107) of patients with an eGFR ≥90 mL/min/1.73 m 2 had proteinuria, whereas 3.4% (234/6909) who had a UACR <30 mg/g presented with an eGFR <60 mL/min/1.73 m 2 . Compared with patients who were cognizant of CKD, those who were unaware of CKD had increased rates of HbA 1c ≥7%, total cholesterol >5.18 μmol/L, LDL cholesterol >3.37 μmol/L, BMI ≥30 kg/m 2 , and hypertension., Conclusions: In a Chinese population of adults with type 2 diabetes, the CKD prevalence was notable, at 31%, coupled with low screening and awareness rates. Multiple risk factors for CKD have been identified., Trial Registration: ClinicalTrials.gov NCT05047471; https://clinicaltrials.gov/study/NCT05047471., (©Lixin Shi, Yaoming Xue, Xuefeng Yu, Yangang Wang, Tianpei Hong, Xiaoying Li, Jianhua Ma, Dalong Zhu, Yiming Mu. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 30.08.2024.)

Background: China has the largest population of diabetic patients worldwide. A diverse population and regional discrepancy in access to health care and diabetes management may lead to unique risk factors for diabetic retinopathy (DR) in different regions of China. This study aimed to evaluate the prevalence and risk factors of DR in rural patients with type 2 diabetes., Methods: This hospital-based cross-sectional study recruited a sample of 704 type 2 diabetic patients from rural areas referred to Beijing Huairou Hospital, China, from June 1, 2022, to June 1, 2023. The medical history, demographic information, and results of laboratory examinations of patients were collected and analyzed. The diagnosis of DR were performed by experienced ophthalmologists using mydriatic fundus photography., Results: Out of all patients, 53.8% were male and 46.2% were female. The mean age of patients and duration of diabetes were 54.9 ± 13.0 and 6.2 ± 4.5 years, respectively. The DR prevalence was 16.8%. The independent risk factors for DR in multivariate analysis were diabetes duration > 10 years (OR = 9.16, 95%CI = 5.49-15.30), fasting plasma glucose ≥ 7.2 mmol/L (OR = 3.25, 95%CI = 1.42-7.42), glycosylated hemoglobin ≥ 7% (OR = 6.49, 95%CI = 2.59-16.23), hypertension (OR = 1.59, 95%CI = 1.05-2.40), hyperlipidemia (OR = 2.16, 95%CI = 1.30-3.59), diabetic nephropathy (OR = 1.95, 95%CI = 1.17-3.23), high uric acid level (OR = 3.57, 95%CI = 1.56-8.15), high albumin to creatinine ratio (OR = 2.48, 95%CI = 1.06-5.82), and insulin treatment (OR = 1.79, 95%CI = 1.12-2.88)., Conclusions: This study evaluated the DR prevalence and its associated risk factors among type 2 diabetic patients from rural areas in Beijing's Huairou District, China. Paying attention to these risk factors may be useful in screening high-risk diabetic patients for DR and adopting early preventive and therapeutic interventions., (© 2024. The Author(s).)

Background: This dual burden of tuberculosis (TB) and diabetes mellitus (DM) has become a global public health concern. This study aims to compare drug resistance in drug-resistant tuberculosis (DR-TB) patients with and without DM and analyse the risk factors of multidrug-resistant tuberculosis (MDR-TB)., Methods: A total of 893 DR-TB patients were admitted to Wenzhou Central Hospital between January 2018 and December 2022. After excluding 178 cases with incomplete clinical and laboratory data, 715 patients were included in the study. These patients were then categorized into two groups based on the presence of type 2 DM: the DM group (160 cases) and the non-DM group (555 cases). Demographic information, baseline clinical characteristics, laboratory and imaging test results, clinical diagnoses, and other relevant data were collected for analysis. Statistical analysis was conducted on demographic information, clinical parameters, drug resistance spectrum, and risk factors for multidrug resistance., Results: In both the DM and non-DM groups, the order of resistance to first-line anti-tuberculosis drugs is isoniazid, streptomycin, rifampicin, and ethambutol. There is no significant difference in the proportion of mono-resistant tuberculosis, polydrug-resistant tuberculosis, and multidrug-resistant tuberculosis between the two groups (P > 0.05). The prevalence of MDR-TB in both groups shows a downward trend between 2018 and 2022, but the trend is not statistically significant (P > 0.05). Among patients without DM, residence in rural areas, retreatment of tuberculosis, pulmonary cavity, and uric acid ≥ 346 µmol/L are identified as independent risk factors for MDR-TB. Among patients with DM, residence in rural areas, retreatment of tuberculosis, pulmonary cavity, and HbA1c ≥ 9.8% were identified as independent risk factors for MDR-TB., Conclusion: Isoniazid is the most resistant drug among DR-TB patients with and without DM. There is no statistically significant difference in drug resistance patterns between the two groups. Some progress has been made in the prevention and control of DR-TB in this area, but the effect is not very significant. There are differences in the risk factors of MDR-TB between patients with and without DM., (© 2024. The Author(s).)

Background: The purpose of this study was to investigate the relationships between generalized, abdominal, and visceral fat obesity and the prevalence of gout in patients with type 2 diabetes mellitus (T2DM)., Methods: Data were obtained from the electronic medical databases of the National Metabolic Management Center (MMC) of Yuhuan Second People's Hospital and Taizhou Central Hospital (Taizhou University Hospital) between September 2017 and June 2023. Four obesity indicators were analyzed: waist circumference (WC), waist-to-hip ratio (WHR), body mass index (BMI), and visceral fat area (VFA). The relationships between these parameters and gout prevalence were analyzed using multivariate logistic regression and restricted cubic spline (RCS) analyses. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic efficacy of the four parameters for gout., Results: This cross-sectional study enrolled 10,535 participants (600 cases and 9,935 controls). Obesity was more common in patients with gout, and the obesity indicators were markedly higher in this group. After adjustment for confounders, obesity, as defined by BMI, WC, WHR, and VFA, was found to be associated with greater gout prevalence, with odds ratios (OR) of 1.775, 1.691, 1.858, and 1.578, respectively (P < 0.001). The gout odds ratios increased markedly in relation to the obesity indicator quartiles (P-value for trend < 0.001), and the obesity indicators were positively correlated with gout prevalence, as shown using RCS. The area under the ROC curve values for BMI, WC, WHR, and VFA were 0.629, 0.651, 0.634, and 0.633, respectively., Conclusion: Obesity-whether general, abdominal, or visceral fat obesity-was positively linked with elevated gout risk. But uncovering the causality behind the relationship requires further prospective study. Obesity indicators (BMI, WC, WHR, and VFA) may have potential value for diagnosing gout in clinical practice., (© 2024. The Author(s).)

Objective: The prevalence and the cluster characteristics of risk factors of stroke were assessed in a Chinese diabetic population., Methods: Clinical data of 30 693 inpatients who were diagnosed with type 2 diabetes mellitus (T2DM) and admitted between 2013 and 2018 were retrospectively analyzed. The age-standardized prevalence of stroke was estimated using the 2010 Chinese population census data, and risk factors were analyzed by multiple imputation and regression., Results: The crude and standardized prevalence rates of stroke in patients with T2DM were 34.4% and 21.5%, respectively, and 85.2% of the stroke patients had ischemic stroke. Nearly half of the patients who experienced stroke had clusters of more than 4 risk factors. Compared with no-risk-factor clustering, the risk of stroke significantly increased 3-4 times in the presence of more than 4 risk-factor clusters (P<0.001). Hypertension was the most common major risk factor for ischemic stroke [odds ratio (OR), 2.34; 95% confidence interval (CI), 2.18-2.50] and hemorrhagic stroke (OR, 3.68; 95% CI 2.95-4.59; P<0.001). Moreover, a 1-standard-deviation increase in fasting blood glucose (FBG) was significantly negatively correlated with ischemic stroke risk, and the same change in FBG was significantly associated with an 8% increased risk of hemorrhagic stroke., Conclusion: The prevalence of stroke in patients with T2DM is rather high, and the clustering of risk factors is associated with the development of stroke in T2DM patients. Risk factors differ in different stroke subtypes. Identifying risk factors for a specific high-risk group is necessary., (© 2024. Huazhong University of Science and Technology.)

Background: Novel diabetes phenotypes were proposed by the Europeans through cluster analysis, but Chinese community diabetes populations might exhibit different characteristics. This study aims to explore the clinical characteristics of novel diabetes subgroups under data-driven analysis in Chinese community diabetes populations., Methods: We used K-means cluster analysis in 6369 newly diagnosed diabetic patients from eight centers of the REACTION (Risk Evaluation of cAncers in Chinese diabeTic Individuals) study. The cluster analysis was performed based on age, body mass index, glycosylated hemoglobin, homeostatic modeled insulin resistance index, and homeostatic modeled pancreatic β-cell functionality index. The clinical features were evaluated with the analysis of variance (ANOVA) and chi-square test. Logistic regression analysis was done to compare chronic kidney disease and cardiovascular disease risks between subgroups., Results: Overall, 2063 (32.39%), 658 (10.33%), 1769 (27.78%), and 1879 (29.50%) populations were assigned to severe obesity-related and insulin-resistant diabetes (SOIRD), severe insulin-deficient diabetes (SIDD), mild age-associated diabetes mellitus (MARD), and mild insulin-deficient diabetes (MIDD) subgroups, respectively. Individuals in the MIDD subgroup had a low risk burden equivalent to prediabetes, but with reduced insulin secretion. Individuals in the SOIRD subgroup were obese, had insulin resistance, and a high prevalence of fatty liver, tumors, family history of diabetes, and tumors. Individuals in the SIDD subgroup had severe insulin deficiency, the poorest glycemic control, and the highest prevalence of dyslipidemia and diabetic nephropathy. Individuals in MARD subgroup were the oldest, had moderate metabolic dysregulation and the highest risk of cardiovascular disease., Conclusion: The data-driven approach to differentiating the status of new-onset diabetes in the Chinese community was feasible. Patients in different clusters presented different characteristics and risks of complications., (© 2024 The Author(s). Journal of Diabetes published by Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd.)

Introduction: Adding finerenone to current standard of care (SoC), as recommended by Chinese guidelines, has shown substantial benefit in delaying chronic kidney disease (CKD) progression and reducing cardiovascular risk in patients with CKD and type 2 diabetes (T2D) in the landmark FIDELIO-DKD trial. This study aimed to evaluate the cost-effectiveness of finerenone + SoC versus SoC alone among Chinese patients with T2D and CKD from a healthcare system perspective., Methods: A cost-effectiveness model (FINE-CKD) has been developed and published, with health states defined for CKD stages (CKD 1/2, CKD 3, CKD 4, and CKD 5 without renal replacement therapy (RRT), dialysis, or transplant) and cardiovascular event history. Additionally, the model also considered adverse events. Transition probabilities and event risks were derived using patient-level data from Asian population analysis of FIDELIO-DKD. Since the price of finerenone after the national reimbursement drug list (NRDL) inclusion was confidential, the cost of finerenone in the model was assumed to be the same as that of SoC. Other health resource costs were gathered from literature and supplemented by physician interviews. Measured by the EQ-5D-5L questionnaire, quality of life was translated into utilities based on the Chinese EQ-5D-5L value set., Results: Discounted at 5.0% annually, over a lifetime horizon, finerenone + SoC resulted in a quality-adjusted life years (QALYs) gain of 0.321 versus SoC alone (8.660 vs. 8.338 QALYs), due to a reduction in the incidence of cardiovascular events and dialysis. Total costs per patient were lower under finerenone + SoC than SoC alone (381,130 CNY vs. 392,390 CNY). As a result, finerenone + SoC was a dominant treatment strategy compared with SoC alone. Sensitivity analysis has confirmed the robustness of this study., Conclusion: Adding finerenone to SoC was likely to be either a dominant or cost-effective treatment option compared with SoC alone in Chinese patients with CKD and T2D., (© 2024. The Author(s), under exclusive licence to Springer Healthcare Ltd., part of Springer Nature.)

Purpose: To assess the prevalence of and risk factors for fundus pathology in patients with type 2 diabetes mellitus (T2DM) in a cohort from northeastern China., Methods: Patients were included from the Fushun Diabetic Retinopathy Cohort Study. Patients aged ≥ 30 years with T2DM were recruited between July 2012 and May 2013. Fundus pathology included retinal vascular occlusion (RVO), age-related macular degeneration (AMD), macular pathology, pathologic myopia (PM) and glaucomatous optic atrophy (GOA)., Results: A Total of 1998 patients with gradable fundus photographs were included in this study, of whom 388 (19.42%) had fundus pathology regardless of whether they had diabetic retinopathy (DR). There were 187 (9.36%) patients with AMD, 97 (4.85%) with GOA, 67 (3.35%) with macular pathology, 35 (1.75%) with PM and 23 (1.15%) with RVO. Advanced age was significantly associated with AMD (odds ratio (OR), 95% confidence interval (CI): 1.03, 1.01-1.05), macular pathology (OR, 95% CI: 1.06, 1.03-1.09) and GOA (OR, 95% CI: 1.06, 1.04-1.09). A wider central retinal arteriolar equivalent was protective against PM (OR, 95% CI: 0.78, 0.66-0.92). Wider central retinal venular equivalent was a protective factor for PM (OR, 95% CI: 0.75, 0.68-0.82) and GOA (OR, 95% CI: 0.93, 0.87-0.99)., Conclusions: One-fifth of these patients in northeast China with T2DM had fundus pathology regardless of whether they had DR, indicating the importance of early screening and long-term follow-up.

Aims/introduction: Our aim was to investigate the optimal fasting glucose (FPG) range in Chinese older adults with type 2 diabetes, and to clarify whether the optimal range varies according to the control of risk factors., Materials and Methods: The baseline survey for the cohort study began in 2018, with follow up ending in 2022. Our study enrolled 59,030 older diabetes patients with no history of cardiovascular disease (CVD). Participants were divided into nine groups based on their baseline glycemic status. The association between FPG and the risk of adverse outcomes was mainly estimated by multivariate Cox proportional risk models and restricted spline analysis., Results: During the 4-year follow-up period, a total of 5,637 deaths and 4,904 CVD events occurred. The associations of FPG with mortality and CVD events showed J-shaped curves. Among all-cause deaths, the hazard ratios for FPG ≤4.50 and >11.50 mmol/L were 1.50 (95% confidence interval [CI] 1.31-1.71) and 1.84 (95% CI 1.67-2.02). Among CVD, the hazard ratios for FPG ≤4.50 and >11.50 mmol/L were 1.31 (95% CI 1.13-1.53) and 1.71 (95% CI 1.54-1.89), respectively. The optimal FPG ranges of all-cause mortality and CVD were 5.50-7.50 and 4.50-7.50 mmol/L, respectively. For participants with at least two risk factors, the optimal FPG levels were higher than those with fewer risk factors., Conclusions: In older Chinese diabetes patients, the FPG ranges related to the minimum death and CVD event rates were 5.50-7.50 and 4.50-7.50 mmol/L, respectively. Patients with more cardiovascular risk factors had higher optimal blood glucose ranges than those with fewer risk factors., (© 2024 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd.)

Objective: To investigate the factors influencing accelerated aging in patients with type 2 diabetes mellitus (T2DM) and coronary heart disease (CHD)., Methods: A total of 216 patients diagnosed with T2DM and CHD between August 2019 and August 2023 at Xuzhou Central Hospital were selected. Patients were divided into an aging group and a non-aging group, based on the positive or negative values of phenotypic age acceleration (PhenoAgeAccel). Logistic regression analysis was conducted. Variables that had a univariate analysis P < 0.05 were included in the multivariate analysis to identify factors influencing aging in patients with T2DM and CHD, and the area under the curve of the model was reported., Results: This study included 216 patients, with 89 in the accelerated aging group, and 127 in the non-accelerated aging group. The average age of patients was 70.40 (95% CI: 69.10-71.69) years, with 137 males (63.4%). Compared with the non-accelerated aging group, patients in the accelerated aging group were older, with a higher proportion of males, and a higher prevalence of hypertension, stable angina pectoris, and unstable angina pectoris. Multivariate Logistic regression analysis indicated that the absolute value of neutrophils (NEUT#), urea (UREA), adenosine deaminase (ADA), and the triglyceride-glucose index (TyG) were risk factors for accelerated aging, while cholinesterase (CHE) was a protective factor. For each unit increase in NEUT#, UREA, ADA, and TyG, the risk of aging increased by 64%, 48%, 10%, and 789%, respectively. The overall area under the receiver operating characteristic (ROC) curve of the model in the training set was 0.894, with a 95% confidence interval (CI) of 0.851-0.938., Conclusion: NEUT#, CHE, UREA, ADA, and TyG are predictors of accelerated aging in patients with T2DM and CHD, with the model showing favorable overall predictive performance., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Huang, Liu, Chen, Chen and Wang.)

Objectives: This study aimed to explore the synergistic interaction effect between hyperuricemia and hypertension towards chronic kidney disease in patients with type 2 diabetes., Methods: This research originates from a cross-sectional study performed in Zhejiang Province, Eastern China, between March and November 2018. The correlation between serum uric acid levels and the risk of chronic kidney disease was assessed using a restricted cubic spline model. An unconditional multivariable logistic regression model, along with an interaction table, was utilized to explore the potential interaction effect of hyperuricemia and hypertension towards chronic kidney disease., Results: 1,756 patients with type 2 diabetes were included in this study, the prevalence of chronic kidney disease (CKD) was 27.62% in this population. A U-shaped non-linear pattern emerged correlating serum uric acid (SUA) levels and CKD risk, indicating that both low and high SUA levels were linked to an increased CKD risk. This risk achieved its lowest point (nadir) at SUA approximately equals to 285μmol/L (p for trend <0.05). Once adjustments for age, gender, education level, abnormal fasting plasma glucose (FPG), abnormal hemoglobin A1c (HbA1c), abnormal total cholesterol (TC), abnormal high-density lipoprotein cholesterol (HDL-C), alcohol consumption and duration of diabetes were factored in, it was found that patients with both hyperuricemia and hypertension demonstrated a 5.42-fold (95% CI: 3.72-7.90) increased CKD risk compared to the reference group. The additive interaction between hyperuricemia and hypertension was statistically significant, as manifested by the following values: a relative excess risk due to interaction (RERI) of 2.57 (95% CI: 0.71-4.71), an attributable proportion due to interaction (AP) of 0.47 (95% CI: 0.14-0.64), and a synergy index (SI) of 2.39 (95% CI: 1.24-4.58). In contrast, there was no significant interaction effect in multiplicative scale., Conclusion: Hyperuricemia and hypertension may contribute additively to CKD, beyond their isolated impacts. Evaluating the risk of CKD in type 2 diabetes patients necessitates considering this potential interaction., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Chen, Lu, Zhang, Xu, Du, Liang, Chen and Zhong.)

Background: The white blood cell count to mean platelet volume ratio (WMR) is considered a promising inflammatory marker, and its recognition is increasing. Inflammation is closely related to metabolic diseases such as diabetes and its complications. However, there are currently no reports on the correlation between WMR and type 2 diabetic peripheral neuropathy (DPN). This study aims to explore the correlation between WMR and DPN in type 2 diabetes patients. By understanding this association, we hope to provide a theoretical basis for preventing DPN through the improvement of inflammatory responses., Methods: This was a cross-sectional study involving 2515 patients with T2DM. Logistic regression analysis was conducted to assess the associations between WMR and DPN. Finally, the receiver operating characteristic curve (ROC curve) was employed to evaluate the predictive efficacy of WMR for DPN., Results: Patients in higher WMR quartiles exhibited increased presence of DPN. Additionally, WMR remained significantly associated with a higher odds ratio (OR) of DPN (OR 4.777, 95% confidence interval [CI] 1.296-17.610, P < 0.05) after multivariate adjustment. Moreover, receiver operating characteristic curve analysis indicated that the optimal cutoff value for WMR in predicting DPN presence was 0.5395 (sensitivity: 65.40%; specificity: 41.80%; and area under the curve [AUC]: 0.540)., Conclusions: In patients with T2DM, WMR was significantly increased in DPN and independently associated with an increased risk of DPN presence in Chinese patients. This suggests that WMR may serve as a useful and reliable biomarker of DPN, highlighting the importance of paying more attention to T2DM patients with high WMR to further prevent and reduce the development of DPN and related unfavorable health outcomes., (© 2024. The Author(s).)

Diabetes retinopathy (DR) is a critical clinical disease with that causes irreversible visual damage in adults, and may even lead to permanent blindness in serious cases. Early identification and treatment of DR is critical. Our aim was to train and externally validate a prediction nomogram for early prediction of DR. 2381 patients with type 2 diabetes mellitus (T2DM) were retrospective study from the First Affiliated Hospital of Xinjiang Medical University in Xinjiang, China, hospitalised between Jan 1, 2019 and Jun 30, 2022. 962 patients with T2DM from the Suzhou BenQ Hospital in Jiangsu, China hospitalised between Jul 1, 2020 to Jun 30, 2022 were considered for external validation. The least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression was performed to identify independent predictors and establish a nomogram to predict the occurrence of DR. The performance of the nomogram was evaluated using a receiver operating characteristic curve (ROC), a calibration curve, and decision curve analysis (DCA). Neutrophil, 25-hydroxyvitamin D3 [25(OH)D3], Duration of T2DM, hemoglobin A1c (HbA1c), and Apolipoprotein A1 (ApoA1) were used to establish a nomogram model for predicting the risk of DR. In the development and external validation groups, the areas under the curve of the nomogram constructed from the above five factors were 0.834 (95%CI 0.820-0.849) and 0.851 (95%CI 0.829-0.874), respectively. The nomogram demonstrated excellent performance in the calibration curve and DCA. This research has developed and externally verified that the nomograph model shows a good predictive ability in assessing DR risk in people with type 2 diabetes. The application of this model will help clinicians to intervene early, thus effectively reducing the incidence rate and mortality of DR in the future, and has far-reaching significance in improving the long-term health prognosis of diabetes patients., (© 2024. The Author(s).)

Background: Chronic inflammation is implicated in the development of diabetic retinopathy (DR). The neutrophil-to-lymphocyte ratio (NLR) is a marker of systemic inflammation that has been linked to cardiovascular and diabetic kidney diseases. However, the link between NLR and DR remains unclear. As such, this study investigated the association between NLR and DR in Chinese patients., Method: A total of 857 adults diagnosed with type 2 diabetes mellitus (T2DM) without DR at baseline between 2018 and 2021, from a single center in Ningbo, China, were included. Baseline clinical data, including age, sex, T2DM duration, hypertension, smoking, drinking, glycated hemoglobin level, lipid profile, renal function, and NLR, were recorded and analyzed. Cox proportional hazard regression analysis was used to assess the association between NLR and the risk for incident DR., Results: During a median follow-up of 3.0 years, 140 patients developed DR. The multivariable-adjusted hazard ratio (HR) for incident DR across ascending NLR quartiles (≤1.46 [reference], 1.47-1.90, 1.91-2.45 and > 2.45) were 1.000, 1.327 (95% confidence interval [CI] 0.754-2.334), 1.555 (95% CI 0.913-2.648) and 2.217 (95% CI 1.348-3.649), respectively. For each 1-standard deviation increase in NLR, the risk for DR increased by 29.2% (HR 1.292 [95% CI 1.112-1.501) after adjusting for confounding factors., Conclusion: Results revealed that a higher NLR at baseline was associated with an increased risk for incident DR. NLR has the potential to be an inexpensive, reliable, and valuable clinical measure that merits further exploration in future studies., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Tang, Li and Li.)

Background: The association between years of non-diabetes status after diagnosis of impaired glucose tolerance (IGT) and the risk of long-term death and cardiovascular outcomes needed to be clarified., Methods and Findings: In this post hoc analysis, we included 540 individuals with IGT who participated in the original Da Qing Diabetes Prevention Study (DQDPS). In the DQDPS, all participants were diagnosed with IGT by a 75 g oral glucose tolerance test and randomized to intervention or control groups with a 6-year lifestyle intervention trial. After the completion of the trial, death, cardiovascular events, and microvascular complications were monitored over a 30-year follow-up. In this post hoc analysis, the Cox analysis assessed the extended risk of these outcomes in individuals who either remained non-diabetes status or progressed to diabetes at the end of 2, 4, and 6 years after diagnosis of IGT. In all participants, the difference in the cumulative incidence rate of the outcomes between the diabetes and non-diabetes group gradually increased over 30 years. Compared with the diabetes group, a significantly lower risk of all-cause death (hazard ratio [HR]: 0.74; 95% confidence interval [CI]: 0.57 to 0.97, p = 0.026), cardiovascular events (HR: 0.63; 95% CI: 0.49 to 0.82, p < 0.001), and microvascular complications (HR: 0.62; 95% CI: 0.45 to 0.86, p = 0.004) first emerged in individuals who remained non-diabetes at the 4 years visit, whereas the significant risk reduction in cardiovascular death was first observed at the end of 6 years (HR: 0.56; 95% CI: 0.39 to 0.81, p = 0.002) after adjustment for age, sex, smoking status, BMI, systolic blood pressure, blood glucose, total cholesterol, intervention, and medications (including insulin plus oral hypoglycaemics, antihypertensives, and lipid-lowering agents). The results in the original intervention group alone were similar to the whole group. The main limitations of our study are the limited number of participants and the sole ethnicity of the Chinese population., Conclusions: In this study, we observed that maintaining several years of non-diabetes status after IGT diagnosis was associated with a significant reduction in long-term risk of death and vascular complications, and for most of these outcomes, maintaining at least 4 years of non-diabetes status may be needed to achieve a significant risk reduction., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Qian et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objective: Perirenal adipose tissue (PAT) has emerged as a potential therapeutic target for cardiovascular disease (CVD). However, the relationship between increased perirenal fat thickness (PrFT) and CVD risks in individuals with type 2 diabetes mellitus (T2DM) remains uncertain. This study aimed to evaluate the association between PrFT and the estimated 10-year risk of CVD and atherosclerotic cardiovascular disease (ASCVD) in T2DM., Method: The final analysis included 704 participants. PrFT was quantified using non-enhanced computed tomography scans, while the estimated 10-year CVD and ASCVD risk assessments were based on the Framingham and China-PAR equation risk scores, respectively. Multiple regression analysis was employed to analyze the correlation between PrFT and these risk scores., Results: Higher quartiles of PrFT displayed elevated Framingham and China-PAR equation risk scores ( P <0.001). After adjusting for cardiometabolic risk factors and visceral fat area, PrFT remained significantly correlated with Framingham equation risk scores in men ( β =0.098, P =0.036) and women ( β =0.099, P =0.032). Similar correlations were observed between PrFT and China-PAR equation risk scores in men ( β =0.106, P =0.009) and women ( β =0.108, P =0.007). Moreover, PrFT emerged as an independent variable associated with a high estimated 10-year risk of CVD and ASCVD, with odds ratios (ORs) of 1.14 (95% CI: 1.04-1.25, P =0.016) in men and 1.20 (95% CI: 1.11-1.31, P <0.001) in women for high estimated CVD risk, and ORs of 1.22 (95% CI: 1.08-1.41, P =0.009) in men and 1.34 (95% CI: 1.12-1.60, P <0.001) in women for high estimated 10-year ASCVD risk. Furthermore, restricted cubic spline analyses confirmed a nonlinear relationship between PrFT and high estimated CVD and ASCVD risk in both genders ( P for nonlinearity and overall < 0.05)., Conclusions: PrFT contributed as an independent variable to the estimated 10-year risk of CVD and ASCVD in T2DM., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Wang, Lv, Tu and Guo.)

Background: Metabolic syndrome(MetS) and depression are independently associated with type 2 diabetes (T2DM) risk. However, little is known about the combined effect of MetS and depression on the risk of T2DM. The present study aims to prospectively explore the impact of MetS and depression on T2DM susceptibility among the Chinese general population., Methods: 6489 general population without T2DM adults in Southwest China were recruited from 2010 to 2012. Depression and MetS were prospectively assessed using a 9-item Patient Health Questionnaire(PHQ-9) and Guideline for the prevention and treatment of type 2 diabetes mellitus in China (2020 edition) (CDS2020) during 2016-2020, respectively. Modified Poisson regression models were conducted to estimate relative risk(RR) and 95% confidence intervals (95%CI) for independent and combined associations of MetS and depression with an incidence of T2DM., Results: During a median follow-up of 6.6 years, 678 cases of T2DM were documented. Individuals with MetS were 1.33 times more likely to develop T2DM than those without MetS. The corresponding RR(95%CI) for depression with no depression was 1.45(1.22-1.72). Notably, compared with no MetS or depression, the multivariate-adjusted RR for a combined effect of MetS and depression on the risk of T2DM was 2.11(1.39-3.22). Moreover, an increased risk of T2DM was more apparent in those ≥ 60 years, males, and overweight., Conclusions: Individuals with multimorbidity of MetS and depression are at a higher risk of T2DM compared with those with no MetS or depression., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Cai, Zhou, Fan, Yang, Tian, Luo, Deng, Dai, Wang, Zhu and Liu.)

Studies have indicated that low high-density lipoprotein cholesterol (HDL-C) level is an important risk factor for diabetic kidney disease (DKD) in patients with type 2 diabetes (T2D). However, whether higher HDL-C levels decrease the risk of developing DKD remains unclear. This study aimed to clarify the relationship between HDL-C levels and DKD risk in individuals with T2D in China. In total, 936 patients with T2D were divided into DKD and non-DKD groups. The association between HDL-C levels and DKD risk was evaluated using logistic regression analysis and restricted cubic spline curves adjusted for potential confounders. Threshold effect analysis of HDL-C for DKD risk was also performed. Higher HDL-C levels did not consistently decrease the DKD risk. Furthermore, a nonlinear association with threshold interval effects between HDL-C levels and the incidence of DKD was observed. Patients with HDL-C ≤ 0.94 mmol/L or HDL-C > 1.54 mmol/L had significantly higher DKD risk after adjusting for confounding factors. Interestingly, the association between high HDL-C levels and increased DKD risk was more significant in women. A U-shaped association between HDL-C levels and DKD risk was observed; therefore, low and high HDL-C levels may increase the DKD risk in patients with T2D., (© 2024. The Author(s).)

Objective: This study systematically reviews and meta-analyzes existing risk prediction models for diabetic kidney disease (DKD) among patients with type 2 diabetes, aiming to provide references for scholars in China to develop higher-quality risk prediction models., Methods: We searched databases including China National Knowledge Infrastructure (CNKI), Wanfang Data, VIP Chinese Science and Technology Journal Database, Chinese Biomedical Literature Database (CBM), PubMed, Web of Science, Embase, and the Cochrane Library for studies on the construction of DKD risk prediction models among type 2 diabetes patients, up until 28 December 2023. Two researchers independently screened the literature and extracted and evaluated information according to a data extraction form and bias risk assessment tool for prediction model studies. The area under the curve (AUC) values of the models were meta-analyzed using STATA 14.0 software., Results: A total of 32 studies were included, with 31 performing internal validation and 22 reporting calibration. The incidence rate of DKD among patients with type 2 diabetes ranged from 6.0% to 62.3%. The AUC ranged from 0.713 to 0.949, indicating the prediction models have fair to excellent prediction accuracy. The overall applicability of the included studies was good; however, there was a high overall risk of bias, mainly due to the retrospective nature of most studies, unreasonable sample sizes, and studies conducted in a single center. Meta-analysis of the models yielded a combined AUC of 0.810 (95% CI: 0.780-0.840), indicating good predictive performance., Conclusion: Research on DKD risk prediction models for patients with type 2 diabetes in China is still in its initial stages, with a high overall risk of bias and a lack of clinical application. Future efforts could focus on constructing high-performance, easy-to-use prediction models based on interpretable machine learning methods and applying them in clinical settings., Registration: This systematic review and meta-analysis was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, a recognized guideline for such research., Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42024498015., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Xu, Zhou, Jiang, Fang and Yang.)

Objective: After fully lifting coronavirus disease 2019 (COVID-19) pandemic control measures in mainland China in 12/2022, the incidence of COVID-19 has increased markedly, making it difficult to meet the general time-in-range (TIR) requirement. We investigated a more clinically practical TIR threshold and examined its association with the prognosis of COVID-19 patients with type 2 diabetes(T2D)., Research Design and Methods: 63 T2D patients complicated with COVID-19 were evaluated. Patients were divided into favorable outcome group and adverse outcome group according to whether achieving composite endpoint (a >20-day length of stay, intensive care unit admission, mechanical ventilation use, or death). TIR, the time-below-range (TBR) and the time-above-range (TAR) were calculated from intermittently scanned continuous glucose monitoring. Logistic regression analysis and other statistical methods were used to analyze the correlation between glucose variability and prognosis to establish the appropriate reference range of TIR., Results: TIR with thresholds of 80 to 190 mg/dL was significantly associated with favorable outcomes. An increase of 1% in TIR is connected with a reduction of 3.70% in the risk of adverse outcomes. The Youden index was highest when the TIR was 54.73%, and the sensitivity and specificity were 58.30% and 77.80%, respectively. After accounting for confounding variables, our analysis revealed that threshold target ranges (TARs) ranging from 200 mg/dL to 230 mg/dL significantly augmented the likelihood of adverse outcomes., Conclusion: The TIR threshold of 80 to 190 mg/dL has a comparatively high predictive value of the prognosis of COVID-19. TIR >54.73% was associated with a decreased risk of adverse outcomes. These findings provide clinically critical insights into possible avenues to improve outcomes for COVID-19 patients with T2D., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Cong, Zhang, Xu, Zhang, Wang, Wang, Wang, Diao, Liu, Zhang and Tang.)

Aim: The paradoxical protective association between overweight/obesity and diabetic microvascular complications (DMC), a phenomenon well-known as the obesity paradox, has been considered a non-causal association based on methodological influences. We aimed to investigate the association of generalized and abdominal obesity, as measured by body mass index (BMI) and waist circumference (WC), respectively, with DMC in patients with type 2 diabetes (T2D), using a causal inference approach., Materials and Methods: We enrolled 1436 patients with clinically diagnosed T2D but not DMC at baseline in a community-based prospective cohort in China between 2017 and 2019 and followed them annually until 2022 with new-onset DMC recorded. Marginal structural Cox models with inverse probability weighting were constructed to determine the causal association. Subgroup analyses were performed to identify potential effect modifiers., Results: We observed 360 incident DMC cases, including 109 cases of diabetic nephropathy (DN) and 277 cases of diabetic retinopathy (DR) during four follow-up visits. Multivariable-adjusted hazard ratios (95% confidence intervals) for overall DMC, DN and DR were 1.037 (1.005-1.071), 1.117 (1.062-1.175) and 1.018 (0.980-1.059) for 1 kg/m 2 increase in BMI, and 1.005 (0.994-1.017), 1.034 (1.018-1.051) and 1.000 (0.987-1.014) for 1 cm increase in WC, respectively. Similar patterns were observed across the BMI and WC categories, while the positive association appeared to be more pronounced in women., Conclusions: Generalized but not abdominal obesity was associated with an increased risk for the overall DMC, whereas both obesities were causally related to DN, albeit not DR, in T2D. Routine weight management should not be neglected in diabetes care, particularly in women., (© 2024 John Wiley & Sons Ltd.)

Importance: Previous studies have shown that Jinlida (JLD) granules, an approved treatment for type 2 diabetes in China, can reduce blood glucose level, reduce glycated hemoglobin (HbA1c), and improve insulin resistance in people with type 2 diabetes., Objective: To evaluate the effect of long-term administration of JLD vs placebo on the incidence of diabetes in participants with impaired glucose tolerance (IGT) and multiple metabolic abnormalities., Design, Setting, and Participants: This multicenter, double-blind, placebo-controlled randomized clinical trial (FOCUS) was conducted across 35 centers in 21 cities in China from June 2019 to February 2023. Individuals aged 18 to 70 years with IGT and multiple metabolic abnormalities were enrolled., Intervention: Participants were randomly allocated 1:1 to receive JLD or placebo (9 g, 3 times per day, orally). They continued this regimen until they developed diabetes, withdrew from the study, were lost to follow-up, or died., Main Outcomes and Measures: The primary outcome was the occurrence of diabetes, which was determined by 2 consecutive oral glucose tolerance tests. Secondary outcomes included waist circumference; fasting and 2-hour postprandial plasma glucose levels; HbA1c; fasting insulin level; homeostatic model assessment for insulin resistance (HOMA-IR); total cholesterol, low-density lipoprotein cholesterol, and triglyceride levels; ankle-brachial index; and carotid intima-media thickness., Results: A total of 889 participants were randomized, of whom 885 were in the full analysis set (442 in the JLD group; 443 in the placebo group; mean [SD] age, 52.57 [10.33] years; 463 [52.32%] female). Following a median observation period of 2.20 years (IQR, 1.27-2.64 years), participants in the JLD group had a lower risk of developing diabetes compared with those in the placebo group (hazard ratio, 0.59; 95% CI, 0.46-0.74; P < .001). During the follow-up period, the JLD group had a between-group difference of 0.95 cm (95% CI, 0.36-1.55 cm) in waist circumference, 9.2 mg/dL (95% CI, 5.4-13.0 mg/dL) in 2-hour postprandial blood glucose level, 3.8 mg/dL (95% CI, 2.2-5.6 mg/dL) in fasting blood glucose level, 0.20% (95% CI, 0.13%-0.27%) in HbA1c, 6.6 mg/dL (95% CI, 1.9-11.2) in total cholesterol level, 4.3 mg/dL (95% CI, 0.8-7.7 mg/dL) in low-density lipoprotein cholesterol level, 25.7 mg/dL (95% CI, 15.9-35.4 mg/dL) in triglyceride levels, and 0.47 (95% CI, 0.12-0.83) in HOMA-IR compared with the placebo group. After 24 months of follow-up, the JLD group had a significant improvement in ankle-brachial index and waist circumference compared with the placebo group., Conclusions and Relevance: The findings suggest that JLD can reduce the risk of diabetes in participants with IGT and multiple metabolic abnormalities., Trial Registration: Chinese Clinical Trial Register: ChiCTR1900023241.

Aims/introduction: To analyze the association between HbA1c level and the risk of all-cause mortality in community patients with type 2 diabetes mellitus, and to provide a scientific basis for the management of type 2 diabetes mellitus in the community., Materials and Methods: Based on a Zhejiang rural community type 2 diabetes mellitus cohort, a total of 10,310 patients with type 2 diabetes mellitus with complete baseline and follow-up data were selected. The Cox proportional hazards regression model and the restricted cubic spline model were used to evaluate the relationship between the HbA1c level and the risk of all-cause mortality., Results: During a mean follow-up of 5.5 years, 971 patients died. With HbA1c levels of 6.5-7.0% as the reference, after adjusting for relevant confounding factors, the HR(95%CI) of all-cause mortality with HbA1c levels of <5.5%, 5.5-6.5%, 7.0-8.0%, 8.0-9.0%, and ≥9.0% were 1.53 (1.08-2.15), 0.97 (0.79-1.21), 1.14 (0.92-1.41), 1.44 (1.14-1.83), and 2.08 (1.68-2.58), respectively. The HbA1c level was associated with the risk of all-cause mortality in a "J-shaped" manner. The risk of all-cause mortality was lowest when the HbA1c was 6.5-7.0%, and increased significantly when the HbA1c was ≥ 8.0% and the HbA1c was < 5.5% (P < 0.05). The risk of all-cause death in the HbA1c 5.5-6.5% group and the 7.0-8.0% group was not significant compared with the reference group (P > 0.05)., Conclusions: The HbA1c levels were associated with the risk of all-cause mortality in type 2 diabetes mellitus in a "J-shaped" manner, a too high or a too low HbA1c level could increase the risk of death. Attention should be paid to the individual evaluation of patients and the setting of appropriate glycemic control goals., (© 2024 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd.)

Background: Serum trace elements and oxidative stress factors are related to diabetic microvascular complications. The study was to investigate the complex relationship between trace elements, oxidative stress factors, and the severity of microvascular complications of diabetes in older adults., Methods: The present study included patients with or without type 2 diabetes, and blood glucose, blood lipids, trace elements (iron, magnesium, zinc), oxidative stress factors (malondialdehyde (MDA), nitric oxide (NO), superoxide dismutase (SOD), and total antioxidant capacity (T-AOC)) were evaluated. Risk factors for the severity of diabetic microvascular complications in older adults with diabetes were also estimated., Results: There were statistically significant differences in fasting blood glucose (FBG), triglycerides (TG), low density lipoprotein (LDL), glycated hemoglobin (HbAlc), MDA, NO, SOD, T-AOC, magnesium, and zinc between the two groups ( P<0.05 ). Iron (r Zinc = 0.147, r SOD = 0.180, r T-AOC = 0.193, P < 0.05 ) was positively correlated with zinc, SOD and T-AOC. Iron was negatively correlated with MDA (r MDA = -0.146, P < 0.05 ). Magnesium was positively correlated with SOD (r Magnesium = 0.147, P < 0.05 ). Zinc (r SOD = 0.616, r T-AOC = 0.575, P < 0.01 ) was positively correlated with SOD and T-AOC. Zinc (r MDA =-0.636, r NO =-0.616, P<0.01 ) was positively correlated with MDA and negatively correlated with NO. The course of disease (18.653, [5.726; 60.764], P <0.01 ), FBG (1.265, [1.059; 1.511], P <0.05 ), HbAlc (1.545, [1.431; 1.680], P <0.01), MDA (2.989, [1.900; 4.702], P <0.01 ) were risk factor for the severity of diabetic microvascular complications. Zinc (0.680, [0.503; 0.919], P < 0.05 ) and SOD (0.820, [0.698; 0.964], P < 0.05 ) were protective factors for the severity of diabetic microvascular complications., Conclusion: Serum trace elements are related to oxidative stress levels in older adults with type 2 diabetes. The more stable trace element in older adults with diabetes, the lower the oxidative stress and the fewer microvascular complications of diabetes., Competing Interests: The authors declare that they have no competing interests in this work., (© 2024 Sun et al.)

Background: Combination therapy was associated with an increased risk of drug- drug interactions (DDIs) in patients with type 2 diabetes mellitus (T2DM). The present study aimed to investigate the epidemiology of potential DDIs (pDDIs), including potential chemical drug-drug interactions (pCDIs) and potential herb-drug interactions (pHDIs), and classify the influencing factors of pDDIs in these patients., Methods: A retrospective study of the epidemiology of pDDIs among T2DM hospitalized patients older than 18 years and treated with at least two drugs during hospitalization was conducted over a 12-month period in 2019. PDDIs were identified with C (monitor therapy), D (consider therapy modification), and X (avoid combination) risk ratings. Binary logistic regression was used to analyze the risk factors of pDDIs., Results: A total of 6796 pDDIs were identified from 737 T2DM hospitalized patients during hospitalization, with 0.87% classified as X risk rating, 13.39% as D risk rating. Additionally, 1753 pDDIs were identified after discharge, with 0.11% as X and 25.73% as D risk rating. The drug-drug association networks showed that the majority of pCDIs were associated with cardiovascular system drugs. Chlorphenamine-potassium chloride and danshen-warfarin were the most prevalent interacting pairs of pCDIs and pHDIs with X rating during hospitalization. Multivariate analysis indicated that the likelihood of developing over 4 pDDIs was significantly higher among T2DM patients who had received over 8 medications. The presence of pDDIs after discharge was strongly associated with the complications of T2DM and the number of discharge medications., Conclusions: T2DM patients were frequently exposed to pDDIs, including pCDIs and pHDIs, both during hospitalization and after discharge. Multi-drug combination was the primary risk factor for pDDIs. Strategies such as enhancing the monitoring and warning for pDDIs, increasing clinical pharmacological experience, as well as developing universally applicable clinical guidelines for pDDIs may be beneficial in reducing the incidence of potentially harmful drug-combinations., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Ren, Liu, Jiang, Lv and Zhang.)

Introduction: To analyze the influencing factors for progression from newly diagnosed prediabetes (PreDM) to diabetes within 3 years and establish a prediction model to assess the 3-year risk of developing diabetes in patients with PreDM., Methods: Subjects who were diagnosed with new-onset PreDM at the Physical Examination Center of the First Affiliated Hospital of Soochow University from October 1, 2015 to May 31, 2023 and completed the 3-year follow-up were selected as the study population. Data on gender, age, body mass index (BMI), waist circumference, etc. were collected. After 3 years of follow-up, subjects were divided into a diabetes group and a non-diabetes group. Baseline data between the two groups were compared. A prediction model based on logistic regression was established with nomogram drawn. The calibration was also depicted., Results: Comparison between diabetes group and non-diabetes group: Differences in 24 indicators including gender, age, history of hypertension, fatty liver, BMI, waist circumference, systolic blood pressure, diastolic blood pressure, fasting blood glucose, HbA1c, etc. were statistically significant between the two groups (P<0.05). Differences in smoking, creatinine and platelet count were not statistically significant between the two groups (P>0.05). Logistic regression analysis showed that ageing, elevated BMI, male gender, high fasting blood glucose, increased LDL-C, fatty liver, liver dysfunction were risk factors for progression from PreDM to diabetes within 3 years (P<0.05), while HDL-C was a protective factor (P<0.05). The derived formula was: In(p/1-p)=0.181×age (40-54 years old)/0.973×age (55-74 years old)/1.868×age (≥75 years old)-0.192×gender (male)+0.151×blood glucose-0.538×BMI (24-28)-0.538×BMI (≥28)-0.109×HDL-C+0.021×LDL-C+0.365×fatty liver (yes)+0.444×liver dysfunction (yes)-10.038. The AUC of the model for predicting progression from PreDM to diabetes within 3 years was 0.787, indicating good predictive ability of the model., Conclusions: The risk prediction model for developing diabetes within 3 years in patients with PreDM constructed based on 8 influencing factors including age, BMI, gender, fasting blood glucose, LDL-C, HDL-C, fatty liver and liver dysfunction showed good discrimination and calibration., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Yang, Liu, Du, Zhu, Lu, Wu, Zhang, Ji and Zheng.)