The use of free tissue transfer (FTT) is effective for treatment of chronic nonhealing lower extremity (LE) wounds, requiring collaboration across plastic, vascular, podiatric, orthopedic, and infectious disease disciplines for comprehensive treatment plans to optimize limb salvage. The authors describe their vasculopathic approach with 300 LE FTTs, comparing outcomes between the first 200 LE FTTs and the most recent 100 procedures performed.

A single-institution, retrospective review of 300 LE FTTs from July of 2011 to January of 2023 was performed. Patients were compared between the first 200 (group 1; July of 2011 through February of 2020) and last 100 flaps (group 2; February of 2020 through January of 2023) performed. Patient characteristics, preoperative management, intraoperative details, and outcomes were collected.

Group 2 patients had significantly higher rates of diabetes (67.0% versus 48.5%; P = 0.002), peripheral vascular disease (56.0% versus 24.5%; P < 0.001), history of venous thromboembolism (13.0% versus 6.0%; P = 0.039), venous reflux (81.9% versus 67.8%; P = 0.028), and preoperative venous thromboses on venous testing (25.5% versus 10.5%; P = 0.003) compared with group 1. Group 2 patients underwent more pre-FTT endovascular interventions (23.0% versus 16.5%; P = 0.039) and vascular bypasses (4.0% versus 0.0%; P = 0.012). Immediate flap success and amputation rates were similar between the groups, but group 2 had higher rates of partial flap necrosis (7% versus 3%; P = 0.012).

The adoption of a vasculoplastic approach allows LE FTT to remain successful and achieve long-term limb salvage despite a highly comorbid population.

Therapeutic, IV.

To assess the extent to which biomedical outcomes and cardiovascular risk profile were improved in the management of Chinese patients with type 2 diabetes enrolled in the metabolic management center (MMC) program.

We performed propensity score matching of diabetic patients in the MMC program for at least 12 months to those with diabetes under usual primary care, based on age, sex, fasting plasma glucose (FPG) level, and diabetes duration. Difference-in-difference analysis was conducted to compare changes in biomedical outcomes, attainment of treatment targets, and cardiovascular disease (CVD) risk reduction.

Of 557 pairs of diabetic patients matched 1:1 (n = 1,114), the MMC cohort exhibited greater improvements in FPG (-0.84 mmol/L, 95% confidence interval [CI] -1.22 to -0.46, P < 0.001), diastolic blood pressure [BP] (-2.08 mmHg, 95%CI -3.21 to -0.94, P < 0.001), body mass index [BMI] (-0.29 kg/m2, 95%CI -0.51 to -0.07, P = 0.009), low-density lipoprotein cholesterol (0.13 mmol/L, 95%CI 0.04-0.23, P = 0.008), high-density lipoprotein cholesterol (0.05 mmol/L, 95%CI 0.01-0.08, P = 0.017), and 10-year CVD risk (Framingham CVD risk, -0.94%, 95%CI -1.71 to -0.17, P = 0.017; atherosclerotic CVD risk, -0.77%, 95%CI -1.34 to -0.20, P = 0.009) when compared to the usual primary care cohort after adjustment for confounders. More patients in the MMC cohort achieved treatment targets with lifestyle modifications than their counterparts under primary care.

Enrolment in the MMC program appears promising in the management of FPG, BP, BMI, lifestyle, and CVD risk in diabetic patients, suggesting the necessity of incorporating the MMC program into routine primary care.

Medication therapy problems (MTPs) are therapeutic issues related to medications that may cause undesirable events. People with chronic kidney disease (CKD) are at high risk of experiencing MTPs owing to comorbid conditions and medication burden. This study characterizes MTPs in individuals enrolled in the Kidney Coordinated Health Management Partnership trial and evaluates the intervention's effect on MTPs.

Post hoc analysis of a pragmatic, cluster-randomized trial.

Individuals aged 18-85 years with an estimated glomerular filtration rate of <60 mL/min/1.73 m2, moderate to high risk of CKD progression, and not seeing a nephrologist enrolled from 101 primary care practices (May 2019 to November 2021).

Electronic health record-based multidisciplinary care including nephrology e-consult, pharmacist medication review, and patient education at baseline and every 6 months.

MTP type and frequency of occurrence were characterized along with associated medication classes. Descriptive statistics of MTPs were conducted, and cumulative probabilities of resolution over time were estimated using the discrete-time survival method.

Baseline medication reviews were completed by telephone (52%) or chart review (48%) in 730 out of 754 (97%) intervention-arm participants (mean age, 74 ± 9 years and estimated glomerular filtration rate, 37 ± 8 mL/min/1.73 m2). Polypharmacy was evident in 63% of participants. At baseline, 78% had MTPs and 79% had medication discrepancies. The most common MTP was indication without drug therapy, associated with sodium-glucose cotransporter-2 (SGLT-2) inhibitors. The average number of MTPs per participant decreased from 2.01 at baseline to 1.28 at 6 months (36% reduction), and 1.15 at 12 months (43% reduction). Based on the discrete-time survival model, an estimated 92% of MTPs were resolved by 12 months.

Medication management was not completed for control-arm participants. No standardized tool was used to assess medication adherence. We relied on electronic health record chart review to identify MTPs in participants who could not be reached by telephone.

MTPs and medication discrepancies are highly prevalent in nondialysis-dependent CKD. Medication management through multidisciplinary team care can optimize medication therapy in CKD.

To ascertain whether vascular complications and high lipoprotein (a) [Lp(a)] concentrations are related in individuals with early-onset type 2 diabetes mellitus (T2DM).

This observational cross-sectional study included 591 individuals with early-onset T2DM who were divided into four groups based on Lp(a) values which was measured using immunoturbidimetry and presented as mg/dL: high, >50; intermediate, 30≤Lp(a)<50; low, 10≤Lp(a)<30; and very low, <10. The relationship between the risk of vascular complications and Lp(a) level was examined using a logistic regression model.

The median age of onset for individuals with early-onset T2DM (n=591) was 37 years, duration of diabetes was 12 years, and glycated hemoglobin (HbA1c) level was 8.8%. The median Lp(a) was 10.40 (4.80-21.80) mg/dL, and Lp(a) concentration did not correlate with age, sex, or glycemic control (P>0.05). Individuals in the low Lp(a) (OR=2.12, 95% CI 1.17-3.84, P<0.05), intermediate Lp(a) (OR=2.76, 95% CI 1.10-6.98, P<0.05) and high Lp(a) (OR=4.79, 95% CI 2.03-11.31, P<0.01) groups had an increased risk of coronary heart disease (CHD) compared with those in the very low Lp(a) group after adjustment. Nevertheless, among individuals with early-onset T2DM, there was no correlation between Lp(a) concentration and the risk of cerebrovascular disease (CVL) and microvascular complications (P>0.05).

In patients with early-onset T2DM, Lp(a) concentration was independently associated with CHD. Lp(a) testing is essential to determine who has a latent high risk of CHD among patients with early-onset T2DM.

Diabetic neuropathy (DN) is a prevalent and debilitating complication of diabetes mellitus, significantly impacting patient quality of life and contributing to morbidity and mortality. Affecting approximately 50% of patients with diabetes, DN is predominantly characterized by distal symmetric polyneuropathy, leading to sensory loss, pain, and motor dysfunction, often resulting in diabetic foot ulcers and lower-limb amputations. The pathogenesis of DN is multifaceted, involving hyperglycemia, dyslipidemia, oxidative stress, mitochondrial dysfunction, and inflammation, which collectively damage peripheral nerves. Despite extensive research, disease-modifying treatments remain elusive, with current management primarily focusing on symptom control. This review explores the complex mechanisms underlying DN and highlights recent advances in diagnostic and therapeutic strategies. Emerging insights into the molecular and cellular pathways have unveiled potential targets for intervention, including neuroprotective agents, gene and stem cell therapies, and innovative pharmacological approaches. Additionally, novel diagnostic tools, such as corneal confocal microscopy and biomarker-based tests, have improved early detection and intervention. Lifestyle modifications and multidisciplinary care strategies can enhance patient outcomes. While significant progress has been made, further research is required to develop therapies that can effectively halt or reverse disease progression, ultimately improving the lives of individuals with DN. This review provides a comprehensive overview of current understanding and future directions in DN research and management.

This study aimed to investigate the relationship between age at diabetes diagnosis (ADD) and the development and progression of diabetic retinopathy (DR). This study combined analysis of the National Health and Nutrition Examination Survey (NHANES) data with Mendelian randomization (MR). We employed regression models, propensity score matching, generalized additive model smoothing splines (GAM), random forest algorithms, and other analytical techniques. Cross-sectional analysis of NHANES data (n = 877) showed that the DR group had a significantly younger ADD compared to the DR-free group (P < 0.001). Regression analysis revealed a significant inverse association between ADD and DR prevalence (OR = 0.96, P < 0.001). MR analysis further supported this inverse relationship (OR = 0.42, P = 0.003). Two non-linear analytical approaches identified peak DR occurrence probability at ages 24.45 (GAM) and 24.2 (Shapley additive explanations dependence plots). Additionally, younger ADD was associated with increased DR severity across all categories (P < 0.05). In conclusion, older ADD was associated with a protective effect against the development and progression of DR, as supported by both analysis of NHANES data and MR. These findings underscore the importance of increased vigilance and more frequent screening for DR in patients diagnosed with diabetes at a young age.

This study aimed to compare the effects of pregabalin, gabapentin, and duloxetine on diabetic peripheral neuropathy (DPN) to guide tailored treatment.

In this retrospective study, 180 patients with type 2 diabetes and DPN were matched 1:1:1 across three groups based on HbA1c and age, resulting in 60 patients per group. Clinical data were collected, and the painDETECT score was used to evaluate treatment response over six weeks.

After six weeks, the gabapentin group had significantly higher pain scores than the pregabalin (P = 0.002) and duloxetine groups (P < 0.001). The pregabalin group's scores were higher than the duloxetine group's, but not significantly (P = 0.62). Side effects were more frequent with duloxetine (23.3 %) compared to gabapentin (1.7 %) and pregabalin (6.7 %) (P = 0.001). Among those with over 50 % improvement, mean HbA1c levels were 9.42 for gabapentin, 10.43 for pregabalin, and 7.72 for duloxetine. Duloxetine significantly lowered HbA1c compared to gabapentin (P = 0.001) and pregabalin (P = 0.001), with no significant difference between gabapentin and pregabalin (P = 0.45).

Duloxetine and pregabalin effectively treat DPN. Gabapentin and pregabalin are suitable for patients with HbA1c over 8.7, while duloxetine is better for those with well-controlled HbA1c. Treatment should consider side effects, adherence, costs, and response time.

Level III retrospective cohort study.

This study aimed to investigate the impact of glucagon-like peptide-1 receptor agonists (GLP-1RAs) on individuals with type 2 diabetes (T2DM) by comparing self-management behaviors, anxiety, and sleep quality in T2DM patients.

This is a single-center prospective study. During the patients' hospitalization, we collected their clinical data, and three months after discharge, we conducted follow-up by phone to record weight changes, blood glucose levels, self-management behaviors, anxiety levels, and sleep quality.

A total of 271 patients were included in this study. Among them, 177 (65.31%) were classified into the oral drug combined with long-acting insulin group, and 94 (34.69%) were classified into the oral drug combined with GLP-1RAs group. No statistically significant differences were found between the two groups in age, duration of diabetes, comorbidities, complications, or types of oral medications (P> 0.05). However, significant differences were observed between the groups in postprandial blood glucose, glycated hemoglobin, dietary control, medication adherence, actual anxiety, and sleep time (P<0.05). Notably, the oral medication combined with GLP-1RAs group demonstrated improved dietary control, medication adherence, anxiety and actual sleep time compared to the oral medication combined with long-acting insulin group.

In this 3-month study, there were statistically significant differences in HbA1c, post-prandial glucose, weight, for self-management behaviors, for dietary control, medication adherence, anxiety, and actual sleep time in T2DM patients. The findings suggest that GLP-1 RA may contribute to the improvement of dietary behaviors, medication adherence, anxiety, and sleep quality in addition to weight and glycemic control in T2DM patients.

Continuous glucose monitoring (CGM) metrics, such as time in range (TIR) and glycemic risk index (GRI), have been linked to various diabetes-related complications, including diabetic foot (DF).

To investigate the association between CGM-derived indicators and the risk of DF in individuals with type 2 diabetes mellitus (T2DM).

A total of 591 individuals with T2DM (297 with DF and 294 without DF) were enrolled. Relevant clinical data, complications, comorbidities, hematological parameters, and 72-hour CGM data were collected. Logistic regression analysis was employed to examine the relationship between these measurements and the risk of DF.

Individuals with DF exhibited higher mean blood glucose (MBG) levels and increased proportions of time above range (TAR), TAR level 1, and TAR level 2, but lower TIR (all P < 0.001). Patients with DF had significantly lower rates of achieving target ranges for TIR, TAR, and TAR level 2 than those without DF (all P < 0.05). Logistic regression analysis revealed that GRI, MBG, and TAR level 1 were positively associated with DF risk, while TIR was inversely correlated (all P < 0.05). Achieving TIR and TAR was inversely correlated with white blood cell count and glycated hemoglobin A1c levels (P < 0.05). Additionally, achieving TAR was influenced by fasting plasma glucose, body mass index, diabetes duration, and antidiabetic medication use.

CGM metrics, particularly TIR and GRI, are significantly associated with the risk of DF in T2DM, emphasizing the importance of improved glucose control.

Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease, affecting over 30 % of diabetes mellitus (DM) patients. Early detection of DKD in DM patients can enable timely preventive therapies, and potentially delay disease progression. Since the kidney relies on fatty acid oxidation for energy, dysregulated lipid metabolism has been implicated in proximal tubular cell damage and DKD pathogenesis. This study aimed to identify lipid alterations during DKD development and potential biomarkers differentiating DKD from DM.

lipidomics analysis was performed on serum collected from 55 patients with DM, 21 with early DKD stage and 32 with advanced DKD, and 22 healthy subjects. Associations between lipids and DKD risk were evaluated by logistic regression.

Lipid profiling revealed elevated levels of certain lysophosphatidylethanolamines (LPEs), phosphatidylethanolamines (PEs), ceramides (Cers), and diacylglycerols (DAGs) in the DM-DKD transition, while most LPEs, lysophosphatidylcholines (LPCs), along with several monoacylglycerol (MAG) and triacylglycerols (TAGs), increased further from DKD-E to DKD-A. Logistic regression indicated positive associations between LPCs, LPEs, PEs, and DAGs with DKD risk, with most LPEs correlating significantly with urinary albumin-to-creatinine ratio (UACR) and inversely with estimated glomerular filtration rate (eGFR). A machine-learning-derived biomarker panel, Lipid9, consisting of LPC(18:2), LPC(20:5), LPE (16:0), LPE (18:0), LPE (18:1), LPE (24:0), PE (34:1), PE (34:2), and PE (36:2), accurately distinguished DKD (AUC: 0.78, 95 % CI 0.68-0.86) from DM. Incorporating two clinical indexes, serum creatinine and blood urea nitrogen, the Lipid9-SCB model further improved DKD detection (AUC: 0.83, 95 % CI 0.75-0.90) from DM, and was notably more sensitive for identifying DKD-E (AUC: 0.79, 95 % CI 0.67-0.91).

This study deciphers the lipid signature in DKD progression, and suggests the Lipid9-SCB panel as a promising tool for early DKD detection in DM patients.

This study investigates the association between estimated glucose disposal rate (eGDR), a measurement of insulin resistance, and microvascular and macrovascular complications in patients with type 2 diabetes (T2D).

This cross-sectional study enrolled 7471 patients with T2D from 2010 to 2023. The eGDR was calculated using waist circumference, HbA1C levels, and hypertension status. Logistic regression analysis and restricted cubic splines were utilised to examine the relationship between eGDR and vascular complications, including nephropathy, retinopathy, and coronary artery disease (CAD). The robustness of the results and between-group interactions were examined by sensitivity and subgroup analysis. Furthermore, receiver operating characteristic (ROC) curve analysis was employed to assess the discriminatory value of the adjusted model for T2D vascular complications.

Among participants, 56.5% were female, with a mean age of 57.04 ± 11.05 years and a median of 8 years of diabetes duration. In the final adjusted model, each unit increase in the standard deviation of eGDR was significantly associated with a 23.6%, 24.8% and 29.6% decrease in the odds of nephropathy, retinopathy, and CAD, respectively. There was a significant association between higher eGDR quartiles compared to Q1 for all complications (p < 0.05). The Q4 group had the lowest adjusted odds ratios (ORs) compared to the Q1 group for all complications; the OR of Q4 was 0.549 for nephropathy, 0.360 for retinopathy, and 0.396 for CAD (p < 0.001). The restricted cubic spline for nephropathy followed a negative nonlinear association with eGDR, whereas for retinopathy and CAD, it followed a negative linear pattern. The effect of eGDR was consistent among different subgroups. The ROC curve analysis of the adjusted model showed good discriminatory power for all complications.

In patients with type 2 diabetes, a higher eGDR was significantly associated with a lower risk of microvascular and macrovascular complications, regardless of well-known confounders.

Carbohydrate intake remains one of the most influential factors affecting post-meal glucose levels in type 1 diabetes (T1D). To individualize and optimize patient education on carbohydrate counting, it is essential to assess their knowledge of carbohydrate counting. For this purpose, we aimed to produce and validate a questionnaire for French-speaking individuals based on the American AdultCarbQuiz questionnaire (43 items).

The translation and cross-cultural adaptation of the American questionnaire were followed by an analysis conducted by patient and diabetologist expert groups.

190 participants living with T1D, Diabetologist expert group.

Internal consistency and reliability were verified by administering the adapted French version of the questionnaire to 190 participants living with T1D.

Clinical validity was verified by examining the correlation between the questionnaire score and the time in range (TIR) of these participants.

Translation and back-translation demonstrated good consistency with the original questionnaire. Typical American food items were replaced with foods commonly consumed in France. All items were validated by both patient and diabetologist experts. After analyzing the responses of 190 participant, seven items were considered non-discriminatory and were therefore removed. Internal consistency, assessed by Cronbach's α, was high, with α =  0.785, 95 CI [0.738-0.826]. Finally, we produced a 36 item French questionnaire named GluciQuizz. TIR correlated with the GluciQuizz score (r =  0.3; p  <  0.0001).

This study validates a French-language self-administered questionnaire (GluciQuizz), which evaluates different domains of carbohydrate knowledge in a 15-minute quiz for people living with T1D.

To explore whether healthy lifestyle factors (HLFs) predict a lower risk of major macrovascular and microvascular events and death in people with type 2 diabetes (T2D) with a high risk of vascular complications.

Post hoc analyses of 11,133 participants with T2D in the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) trial who were assigned a score ranging from 0 to 4 based on the number of baseline HLFs: never smoked, moderate-to-vigorous physical activity, ideal waist/hip ratio, and low-to-moderate alcohol consumption. Multivariable Cox models were used to determine associations of 0, 1, 2, and ≥ 3 HLFs with vascular events and all-cause mortality.

Compared to participants with no HLFs, hazard ratios for participants with 3 or 4 HLFs were 0.68 (95% confidence interval [CI] 0.57-0.81) for the composite of major macrovascular or microvascular events, 0.58 (0.46-0.75) for major macrovascular events, 0.78 (0.61-0.99) for microvascular events, and 0.48 (0.37-0.63) for all-cause mortality during a median follow-up of 5 years. Each increment in HLF score was significantly associated with lower rates of these outcomes. There was no heterogeneity in the effect on any outcome by HLF across randomized intensive blood glucose control and blood pressure lowering treatments.

HLFs are associated with lower risks of major macrovascular and microvascular events and lower rates of death in high-risk adults with T2D.

Uric acid (UA) is mainly synthesized in the liver, intestine, and vascular endothelium and excreted by the kidney (70 %) and intestine (30 %). Hyperuricemia (HUA) occurs when UA production exceeds excretion. Many studies have found that elevated UA is associated with diabetic microvascular complications (DMC), including diabetic retinopathy (DR), diabetic nephropathy (DN), and diabetic peripheral neuropathy (DPN). In addition, too high or too low UA levels will promote the occurrence and development of chronic diseases, but the relationship between UA and diabetic microvascular complications (DMC) is not clear. Therefore, the rational treatment of UA in patients with diabetes is essential. In this review, we summarize and discuss the mechanism and treatment of UA and DMC and may provide potential advice for rational drug selection.

Few prior studies have explored the relationship between phenylalanine and diabetic small vessel disease (SVD) in patients with different durations of type 2 diabetes mellitus(T2DM). Our study aimed to explore whether phenylalanine is associated with the risk of SVD and to further explore whether phenylalanine interacted with the duration of T2DM to alter the risk of SVD.

A total of 1,032 T2DM patients were enrolled using the Liaoning Medical University First Affiliated Hospital (LMUFAH) system. SVD was defined as patients with diabetic nephropathy (DN) or diabetic retinopathy (DR) alone, or both. Serum amino acids were measured by mass spectrometry (MS) technology. A binary logistic regression model was used to examine associations of phenylalanine with SVD risk. Restricted cubic spline (RCS) regression was used to draw the odds ratio curves of plasma phenylalanine for SVD. Additive interaction analysis was employed to test the interaction of low phenylalanine with a long duration of T2DM for SVD.

Among the 1,032 T2DM patients, 286 (27.7%) had SVD. Phenylalanine <42μmol/L was associated with a markedly increased risk of SVD (OR 1.76, 95%CI 1.23 to 2.51), which was enhanced by a duration of T2DM of ≥5 years to 4.83 (95%CI 2.97-7.87) with significant additive interactions. The inclusion of phenylalanine and duration of T2DM into a traditional risk factor model substantially increased the area under the receiver operating characteristic curve from 0.67 to 0.71 (95% CI 0.70 to 0.75) (P <0.05).

In Chinese patients with T2DM, phenylalanine <42μmol/L was associated with an increased risk of SVD, which was further amplified by a duration of T2DM of ≥5 years.

Diabetic neuropathy, also known as diabetic peripheral sensorimotor neuropathy (DPN), is a consequential complexity of diabetes, alongside diabetic nephropathy, diabetic cardiomyopathy, and diabetic retinopathy. It is characterized by signs and symptoms of peripheral nerve damage in diabetes patients after ruling out other causes. Approximately 20% of people with diabetes are affected by this painful and severe condition. The development of diabetic neuropathy is influenced by factors such as impaired blood flow to the peripheral nerves and metabolic issues, including increased polyol pathway activation, myo-inositol loss, and nonenzymatic glycation. The present review article provides a brief overview of the pathological changes in diabetic neuropathy and the mechanisms and types of DPN. Various diagnostic tests and biomarkers are available to assess nerve damage and its severity. Pharmacotherapy for neuropathic pain in diabetic neuropathy is complex. This review will explore current treatment options and potential future developments to improve the quality of life for patients suffering from diabetic neuropathy.

Type 2 diabetes mellitus (T2DM) is a highly heterogeneous disease with a varying risk of complications. The recent novel subgroup classification using cluster analysis contributed to the risk evaluation of diabetic complications. However, whether the subgroup classification strategy could be adopted to predict the risk of onset and progression of diabetic kidney disease (DKD) in Chinese individuals with T2DM remains to be elucidated.

In this retrospective study, 612 Chinese patients with T2DM were enrolled, and the median follow-up time was 3.5 years. The T2DM subgroups were categorized by a two-step cluster analysis based on five parameters, including age at onset of diabetes, body mass index (BMI), glycosylated hemoglobin (HbA1c), homeostasis model assessment 2 of insulin resistance (HOMA2-IR), and homeostasis model assessment 2 of β-cell function (HOMA2-β). Clinical characteristics across subgroups were compared using t-tests and chi-square tests. Furthermore, multivariate logistic regression models were adopted to assess the risk of albuminuria progression and renal function decline among different subgroups.

The cohort was categorized into four groups: severe insulin-deficient diabetes (SIDD), with 146 patients (23.9%); mild insulin resistance (MIRD), with 81 patients (13.2%); moderate glycemic control diabetes (MGCD), with 211 patients (34.5%); and moderate weight insulin deficiency diabetes (MWIDD), with 174 patients (28.4%). The MIRD group exhibited an increased risk of progression from non-albuminuria to albuminuria as compared with the MWIDD group, with an adjusted odds ratio (OR) and 95% confidence interval (CI) of 2.92 (1.06, 8.04). The SIDD group had a higher risk of progression from micro-albuminuria to macro-albuminuria as compared with the MGCD group, with an adjusted OR and 95% CI of 3.39 (1.01, 11.41). There was no significant difference in the glomerular filtration rate (GFR) decline among all groups.

The present study offered the first evidence for risk evaluation of the development of DKD in the novel cluster-based T2DM Chinese subgroups. It suggested that the MIRD subgroup had a higher risk of DKD onset than the MWIDD subgroup. Meanwhile, the SIDD subgroup showed a higher risk of progression of albuminuria than the MGCD subgroup. This novel classification system could be effective in predicting the risk of DKD in Chinese patients with T2DM, which could facilitate the implementation of personalized therapeutic strategies.

This study was registered in the Chinese Clinical Trial Registry (ChiCTR2300077183).

The relationship between cigarette smoking and diabetic retinopathy (DR) remains controversial, as existing studies have yielded inconsistent results. This study aimed to investigate the association between smoking and both the development and progression of DR.

This study encompassed two complementary approaches. First, we performed a cross-sectional analysis to examine the association between smoking and DR, including its subcategories, utilizing data from the National Health and Nutrition Examination Survey. Subsequently, we implemented Mendelian randomization (MR) to explore the causal relationship between smoking and DR, as well as its specific categories, leveraging genome-wide association study data.

The cross-sectional study found an inverse association between smoking and DR risk across three analytical models (fully adjusted OR = 0.50, P < 0.001) that still persisted after propensity score matching (OR = 0.56, P = 0.011), and MR analysis also supported this finding (OR = 0.50, P = 0.024). Subgroup analyses revealed significant protective associations in males (OR = 0.41, P < 0.001), individuals with diabetes duration ≥ 10 years (OR = 0.43, P = 0.011), and those with normal clinical parameters. After categorizing DR by severity levels, smoking showed protective associations with the onset of mild and moderate-severe non-proliferative DR in the cross-sectional study, and with the onset of proliferative DR in MR analysis (OR = 0.41, P = 0.016). However, no association was observed between smoking and DR progression.

Our findings suggest a protective association between smoking and DR development in specific subgroups across different DR stages, while showing no association with DR progression.

To understand the prevalence and associated risk factors of lower extremity arterial disease (LEAD) in Chinese diabetic patients and to construct a risk prediction model.

Data from the Diabetes Complications Warning Dataset of the China National Population Health Science Data Center were used. Logistic regression analysis was employed to identify related factors, and machine learning algorithms were used to construct the risk prediction model.

The study population consisted of 3,000 patients, with 476 (15.9%) having LEAD. Multivariate regression analysis indicated that male gender, atherosclerosis, carotid artery stenosis, fatty liver, hematologic diseases, endocrine disorders, and elevated glycosylated serum proteins were independent risk factors for LEAD. The risk prediction models constructed using Logistic regression and MLP algorithms achieved moderate discrimination performance, with AUCs of 0.73 and 0.72, respectively.

Our study identified the risk factors for LEAD in Chinese diabetic patients, and the constructed risk prediction model can aid in the diagnosis of LEAD.

This study aimed to explore the association of globulin and albumin-to-globulin ratio (AGR) with diabetic kidney disease (DKD) and diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM).

This study used data from the China National Diabetic Chronic Complications Study in Shaanxi Province. From April to May 2019, T2DM patients at disease surveillance sites in Shaanxi Province were investigated using a stratified multi-stage sampling method. The participants completed questionnaire surveys, anthropometric and blood pressure measurements, laboratory tests, and fundus photograph examinations. Multivariate Logistic regression and restricted cubic spline model were used to analyze the association of globulin and AGR with DKD and DR, and subgroup analysis was performed according to age, sex, and diabetes duration to test the stability of the results.

A total of 1494 T2DM patients were enrolled in this study, including 495 patients with DKD (33.1%) and 341 patients with DR (22.8%). After adjusting for all covariates, globulin and AGR were linearly associated with DKD. For every 1g/L increase in globulin level, the risk of DKD increased by 7% (OR=1.07, 95% CI=1.04, 1.10). For every 1 unit increase in AGR, the risk of DKD was reduced by 55% (OR=0.45, 95% CI=0.28, 0.72). Subgroup analysis showed that the association between globulin and DKD was consistent across all subgroups, and the association between AGR and DKD was consistent across subgroups of age and diabetes duration; however, only in males, higher AGR was associated with a reduced risk of DKD. No association was found between globulin and AGR with DR.

Globulin is an independent risk factor and AGR is an independent protective factor for DKD. Screening for DKD should be performed in T2DM patients with high globulin and low AGR levels, especially in men.

Background: Young-onset diabetes (YOD) is characterised by unique diagnostic and management challenges more pronounced in resource-limited settings like Sri Lanka. Aims: We aimed to ascertain the prevalence, patterns and characteristics of YOD in Sri Lanka and describe the state of care. Methods: Retrospective review of baseline data of all patients enrolled in the prospective multicentre Database for Young-Onset Diabetes, Sri Lanka (DYOD-SL), was performed, from April 2021 to April 2023. Results: A total of 2531 patient data were included from 28 centres island-wide. Females were 57.6%. The median age was 20 years (interquartile range (IQR) 17, 23), and the age at diagnosis was 15 years (IQR 12, 18). Type 1 diabetes (T1D) was the commonest (57.6%), followed by Type 2 diabetes (T2D) at 34.3%. Younger age at disease onset (p < 0.001), lower BMI (p < 0.001), and diabetic ketoacidosis (DKA) at presentation (p < 0.001) favoured T1D. In the total cohort, the median HbA1c was 9.8% (IQR 7.8, 12.1) with younger patients having poorer control (p = 0.001). Prevalence of nephropathy was 8.1%, retinopathy was 6.6%, neuropathy was 4.1%, moderate-high-risk diabetic foot disease was 1.9%, and macrovascular complications were 0.5%. Hypertension and dyslipidaemia occurred in 2.7% and 14%, respectively. Among patients > 18 years, overweight and obese were 22.2% and 10.4%. Corresponding prevalence in the 5-18-year age group was 20% and 14.7%. Among the insulin users (76%) in the total cohort, the majority (64.7%) were on premixed-based insulin regimens delivered by syringes. Self-monitoring of blood glucose (BG) was reported in 71.3% of the total population. None were on continuous/flash glucose monitoring or insulin pumps. Conclusion: T1D was the commonest subtype of YOD in this hospital-based population. However, T2D was notably higher and is of significant concern. Overall, suboptimal glycaemic control and high rate of complications were noted along with substandard insulin regimens and BG monitoring.

Diabetic retinopathy (DR), a leading cause of vision loss worldwide, is a common complication of type 2 diabetes mellitus (T2DM) driven by chronic hyperglycemia and microvascular damage. Fibroblast growth factor 21 (FGF21) is crucial in blood sugar regulation and has been linked to DR incidence and severity. While some studies suggest that FGF21 levels may contribute to the DR incidence, others propose a protective role. This discrepancy necessitates further analysis, prompting this study to evaluate the association between FGF21 levels and DR incidence and severity in T2DM patients.

A systematic search was conducted through MEDLINE, Web of Science, Scopus, and Embase up to May 2024 for studies evaluating the association between FGF21 and DR incidence and severity. A random-effect model meta-analysis was performed to calculate the pooled standardized mean difference (SMD) and 95% confidence intervals (CI). A univariate meta-regression was performed to analyze factors influencing pooled size estimates. All statistical analyses were performed using STATA 17 software.

This systematic review and meta-analysis of 5,852 participants revealed that FGF21 was positively correlated with DR (SMD 3.11; 95% CI [0.92-5.30], p = 0.005) and sight-threatening DR (STDR) incidence (SMD 3.61; 95% CI [0.82-6.41], p = 0.01). There was no significant difference in FGF21 levels in DR vs STDR (p = 0.79). Subgroup analysis revealed a significant difference in DR incidence between LDL groups, with higher DR incidence in the group with low-density lipoprotein (LDL) levels >100 (P < 0.00001). Meta-regression revealed no variables significantly influenced the pooled size estimates.

A higher level of FGF21 was associated with higher DR and STDR incidence among T2DM patients, highlighting its potential utilization as a biomarker for DR detection and enabling the exploration of FGF21-based treatment strategies. However, variables independently predicting DR among patients with elevated FGF21 levels shall be explored further.

CRD42024559142.

Diabetes, a known syndrome marked by hyperglycemia and glucose intolerance, is increasing at an alarming rate worldwide. Over half a billion people worldwide have DM, and most live in low- and middle-income countries. Poor glycemic control is a public health concern in type 2 diabetes mellitus. Glycemic control and identifying factors associated with poor glycemic control can help healthcare providers design programs that improve glycemic control and the quality of services provided to patients.

This study was designed to assess the level of glycemic control and associated factors in patients with type 2 diabetes in Jimma Medical Center, Southwest Ethiopia.

This institution-based prospective observational study was conducted among 420 patients with type 2 diabetes at Jimma Medical Center's diabetic clinics. A pretested structured interviewer-administered questionnaire was used to collect data, and a checklist was used to assess patient documents. The data were analyzed using SPSS version 26. The variables linked to poor glycemic control were investigated using binary logistic regression. Variables with p values less than 0.05 were considered statistically significant.

Six-month follow-ups were conducted among 420 patients with type 2 diabetes, among whom 220 (52.38%) were women. The median age of the participants was 54(IQR = 40-60 years old). The proportion of respondents with uncontrolled fasting blood glucose was 58.1%. Sex (AOR = 2.576, 95% CI [2.80-11.479], P = 0.001), age(≥ 60) (AOR = 2.024, 95% CI [1.794-4.646], P = 0.002), diabetes duration > 10 years (AOR = 3.036, 95% CI [2.616-8.306], P = 0.003), type 2 diabetes mellitus on insulin + oral antidiabetic (OADs) (AOR = 2.08, 95% CI [298-3.918], P = 0.004), obesity (AOR = 2.18, 95% CI [(1.218-4.218)], P = 0.003), diabetic complications (AOR = 3.193, 95% CI [2.324-6.05], p = 0.002) and poor self-care practices (AOR = 3.034, 95% CI [5.821-7.02], P = 0.005) were found to be significantly associated with poor glycemic control.

At the Jimma Medical Center, the prevalence of poor glycemic control was high. Based on these findings, teaching and counseling provided by healthcare providers should focus on improving diabetes self-care activities, weight reduction, and diabetic complications to achieve good glycemic control.

Not applicable.

DR is a complex complication of DM with multiple biochemical pathways implicated in its genesis and progression. Circulating OS and mitochondrial function biomarkers represent potential candidates in the DR staging system. We conducted a comparative cross-sectional study comparing the OS biomarkers: TAC, GR, NOS, CARB, and hydroperoxydes, as well as mitochondrial function biomarkers: ATP synthase and ATPase activity in healthy volunteers, DM w/o DR, Moderate and Severe NPDR, and PDR. TAC is progressively diminished the more DR progresses to its proliferative stages. GR and NOS may function as biomarkers to differentiate the progression from S NPDR to PDR. CARB may correlate with the progression from M NPDR to S NPDR. Hydroperoxide levels were higher in patients with DR compared to DM w/o DR expressing OS in the early development of DR. ATPase activity is increasingly augmented the more DR progresses and may function as a biomarker that reflects the difference between N PDR and PDR, and ATP synthesis was lower the more DR progressed, being significantly lower compared to DM w/o DR. The behavior of OS and mitochondrial function in several stages of DR may aid in the staging and the prognosis of DR.

The results of Study 1 we have published proved that medium and high doses of Gegen Qinlian Decoction (GQD) were effective in treating type 2 diabetes (T2D) with damp-heat syndrome. However, whether the main drug of GQD in treating T2D was Puerariae Lobatae Radix or Coptidis Rhizoma has always been a hot topic of debate among many doctors. Therefore, we conducted Study 2 and Study 3 to determine the main drug of GQD for treating T2D.

Both Study 2 and Study 3 were randomized, double-blind, dose-parallel controlled, multicenter trials. In Study 2, Puerariae Lobatae Radix was used as the main drug, and in Study 3, Coptidis Rhizoma was used as the main drug. About 120 patients with newly diagnosed T2D were enrolled in each study and randomized 1:1:1 to three treatment groups. The three treatment groups were named HD, MD, and LD groups according to the high, medium, and low doses of the main drug. The course of treatment was 12 weeks. The primary outcomes were the changes in HbA1c.

In Study 2, the HbA1c decreased by 0.58 (0.87), 0.28 (1.17), and 0.55 (0.85) in the HD, MD, and LD groups, respectively, with no significant difference between treatment groups according to covariance analysis (F=0.66, P=0.5206). In Study 3, the HbA1c decreased by 0.75 (0.82), 0.34 (0.71), and 0.26 (0.79) in the HD, MD, and LD groups respectively. By analysis of covariance, the change values of HbA1c were significantly different among the three groups (F=3.11, P=0.0492).

The changes in HbA1c were positively correlated with the dose of Coptidis Rhizoma, but not significantly with the dose of Puerariae Lobatae Radix. It demonstrated that the main drug of GQD in treating T2D patients is Coptidis Rhizoma.

The prevalence of diabetic kidney disease (DKD) is increasing annually. Damage to and loss of podocytes occur early in DKD. tRNA-derived fragments (tRFs), originating from tRNA precursors or mature tRNAs, are associated with various illnesses. In this study, tRFs were identified, and their roles in podocyte injury induced by high-glucose (HG) treatment were explored. High-throughput sequencing of podocytes treated with HG was performed to identify differentially expressed tRFs. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. The expression levels of nephrin, podocin, and desmin were measured in podocytes after overexpression of tRF-1:24-Glu-CTC-1-M2 (tRF-1:24) and concomitant HG treatment. A total of 647 tRFs were identified, and 89 differentially expressed tRFs (|log2FC| ≥ 0.585; p ≤ .05) were identified in the HG group, of which 53 tRFs were downregulated and 36 tRFs were upregulated. The 10 tRFs with the highest differential expression were detected by real-time quantitative polymerase chain reaction (RT-qPCR), and these results were consistent with the sequencing results. GO analysis revealed that the biological process, cellular component, and molecular function terms in which the tRFs were the most enriched were cellular processes, cellular anatomical entities, and binding. KEGG pathway analysis revealed that tRFs may be involved in signaling pathways related to growth hormones, phospholipase D, the regulation of stem cell pluripotency, and T-/B-cell receptors. Overexpression of tRF-1:24, one of the most differentially expressed tRFs, attenuated podocyte injury induced by HG. Thus, tRFs might be potential biomarkers for podocyte injury in DKD.

One of the most prominent challenges related to the management of diabetes is a diabetic foot ulcer (DFU). It has been noted that > 50% of ulcers become clinically infected in diabetic patients, and up to 15-25% of diabetic patients may acquire DFU in their lifetime. DFU treatment is complicated for immune-compromised individuals and has a low success rate. Therefore, diabetic foot care must begin as soon as possible to avoid negative outcomes such as significant social, psychological, and economic consequences, lower limb amputation, morbidity, and mortality. The information provided in this piece is crucial for assisting clinicians and patients regarding novel and cutting-edge treatments for DFU. Due to irrational recourse to antibiotics, etiological agents like bacteria and fungi are exhibiting multidrug resistance (MDR), making topical antibiotic treatments for wounds ineffective with the drugs we currently have. This review article aims to compile the various strategies presently in use for managing and treating DFUs. The piece covers topics like biofilm, diagnosis, drug resistance, multidisciplinary teamwork, debridement, dressings, offloading, negative pressure therapy, topical antibiotics, surgery, cell and gene therapy, and other cutting-edge therapies.

Diabetic peripheral neuropathy (DPN) is a serious complication of diabetes that lacks effective treatment. Gastrodin, the primary bioactive compound derived from Rhizoma Gastrodiae, has a long history in treating epilepsy and various central nervous system disorders. However, its effect on DPN remains uncertain.

This study aims to explore the therapeutic potential and underlying mechanisms of gastrodin in the treatment of DPN.

DPN model rats were induced with streptozotocin (STZ) injection and divided into four groups receiving either gastrodin at two doses (30 and 60 mg kg-1 per day), α-lipoic acid (positive drug, 60 mg kg-1 per day), or placebo. Healthy rats were administrated with placebo. The administrations began eight weeks post-STZ injection and continued for six weeks. Following a comprehensive evaluation of the neuroprotective effects, a systematic pharmacology-based approach was subsequently employed to investigate the underlying mechanism of gastrodin in vivo and in vitro.

Gastrodin was demonstrated to effectively enhance peripheral nerve function and reduce pathological damages in DPN rats. Furthermore, gastrodin facilitated the expression of remyelination-related proteins and mitigated oxidative stress in DPN rats. Transcriptomic analysis indicated that the modulation of energy metabolism was pivotal in the neuroprotective effect of gastrodin, corroborated by targeted metabolomic analysis using high-performance ion chromatography coupled with mass spectrometry. Using network pharmacology analysis, 12 potential targets of gastrodin were identified. Among these, matrix metallopeptidase 9 (MMP9) was further validated as the primary target through molecular docking and cellular thermal shift assays. Functional Analysis of the potential targets underscored the pivotal role of AMPK signaling, and gastrodin demonstrated the capability to activate AMPK and inhibit MMP9 in vivo. In vitro studies further found that gastrodin enhanced antioxidant capacity and mitochondrial function of high glucose-cultured rat Schwann cells RSC96 in an AMPK-dependent manner. Inhibition of AMPK hindered the decrease of MMP9 induced by gastrodin in vitro.

This study revealed the new role of gastrodin in alleviating DPN by restoring the homeostasis of energy metabolism through activating AMPK and inhibiting MMP9. These findings highlight gastrodin's potential as a novel therapeutic candidate against DPN, and underscores an appealing strategy of regulating energy metabolism for DPN therapy.

Guidelines currently recommend annual screening for albuminuria only among persons with diabetes mellitus (DM). There is no guidance about albuminuria screening in those with other important risk factors for chronic kidney disease (CKD), such as hypertension and/or family history of kidney disease. We sought to create a risk score that predicts the likelihood of albuminuria in adults without diabetes to prompt earlier detection and management of CKD.

Data from 44,322 participants without diabetes, aged 18 + years from the National Health and Nutrition Examination Surveys 1999-2020 were analyzed. Survey-weighted logistic regression was used to assess associations between individual characteristics and presence of albuminuria (urinary albumin to creatinine ratio [UACR] ≥ 30 mg/g), including interaction terms, in three separate models. The sample was divided equally into development and validation data sets. C-statistics were used to assess model fit.

The prevalence of albuminuria was 9.7% in the US adult population. Higher odds of albuminuria among the non-diabetic population were observed in females, non-Hispanic Black, and smokers, as well as those with low eGFR, hypertension, cardiovascular disease, prediabetes, low HDL cholesterol, and high uric acid levels. Age showed a J-shaped relationship with albuminuria, with lowest odds for ages 25-64 years. The C-statistic was 0.756 for the developmental and 0.752 for the validation set of the final model. Using this model, screening individuals with a predicted probability of ≥ 5% would capture 85% of individuals with albuminuria.

These results suggest that it may be helpful to use a risk score framework for albuminuria screening in people without DM to encourage earlier detection and management of CKD. Longitudinal studies are warranted to confirm this approach along with evaluation of its cost effectiveness.

As people with type 1 diabetes have increased risk of cardiovascular morbi-mortality, management of cardiovascular risk factors is of crucial importance. We assessed the prevalence and factors associated with LDL-cholesterol (LDL-c) target achievement in patients with type 1 diabetes at high and very-high cardiovascular risk.

In this observational multicenter study, we included hospitalized patients with type 1 diabetes who had a fasting blood lipid analysis at admission. Cardiovascular risk level and LDL-c target values were defined according to ESC/EAS guidelines into force at admission: LDL-c target for very-high risk (VHR) and high risk (HR) patients was 1.4 and 1.8 mmol/l respectively for patients included from September 2019 (2019 guidelines) and 1.8 and 2.6 mmol/l respectively for patients included in 2016-2019 (2016 guidelines). LDL-c target attainment was assessed in HR and VHR patients, and factors associated with attainment were identified with multivariable analysis.

We included 85 HR patients (median age 37y [interquartile range: 27;45], 64 % females) and 356 VHR patients (49 [35;61] years, 42 % females). In HR patients, 7 % were treated with statins, and 35.3 % achieved the LDL-c target. Increasing age (odds ratio 0.58 [95 % confidence interval: 0.38;0.89]), body mass index (0.86 [0.75;0.98]), and HbA1c (0.69 [0.50;0.94]) were independently associated with lower odds of attaining LDL-c target. In VHR patients, 36 % were treated with statins, and 17.4 % achieved LDL-c target. Statin treatment (2.33 [1.22;4.43]), secondary prevention (2.33 [1.21;4.48]) and chronic renal failure (2.82 [1.42;5.61]) were associated with higher odds of attaining LDL-c target.

Control of LDL-c is highly insufficient in both HR and VHR patients. Cardiovascular risk evaluation and better control of risk factors may help decrease cardiovascular morbi-mortality in patients with type 1 diabetes.

NCT03449784.

Uncontrolled type 2 diabetes mellitus (T2DM) is a prevalent issue among older adults. Healthy eating behavior (HEB) is a significant factor contributing to blood sugar control. It is a complex behavior that requires knowledge, attitudes, and skills in food literacy, which can be achieved through collaborative learning by nurses. Although collaborative learning has successfully improved food literacy and HEB among adults and older adults in general, its effectiveness has not been investigated among older adults with uncontrolled T2DM.

This randomized controlled trial aimed to examine the effects of the Collaborative Learning-Based Food Literacy Enhancement Program (CLFLEP) on HEB and hemoglobin A1c (HbA1c) levels among older adults with uncontrolled T2DM.

Participants were 80 older adults with uncontrolled T2DM attending primary care units (PCUs) or sub-district health promotion hospitals in northern Thailand. They were randomly assigned to either the experimental group (n = 40) or the control group (n = 40). The experimental group received the CLFLEP to enhance four domains of food literacy through five major elements of collaborative learning, while the control group received standard care. Data were collected between January and June 2023 using the Demographic Data Form, the Eating Behavior Questionnaire, the HbA1c test, and the Short Food Literacy Questionnaire. Data analysis involved descriptive statistics for demographic characteristics and independent t-test and paired sample t-test for HEB and HbA1c based on intention-to-treat (ITT) and per-protocol (PP) analyses.

The experimental group had a higher HEB score than the control group (p <0.001 for ITT and PP) and higher than their scores before program participation (p <0.001 for ITT and PP). The effect size (Cohen's d) was 1.46. The experimental group also had a lower HbA1c level than the control group (p = 0.002 for ITT and PP) and lower than their levels before program participation (p = 0.005 for ITT and 0.001 for PP). The effect size (Cohen's d) was 0.70.

The CLFLEP was effective in promoting food literacy, HEB, and blood sugar control. Nurses can be trained to use this program to provide collaborative health education for older adults with uncontrolled T2DM. Nursing administrators can use these findings to develop organizational policies that enhance nurses' competencies as educators skilled in collaborative learning.

TCTR20221222005 [Thai Clinical Trials Registry].

To evaluate the adherence rate of diabetic subjects to the retinopathy screening program and to identify the characteristics associated with non-compliance to regular screening.

A cross-sectional study involving 240 patients with diabetes who attended outpatient non-ophthalmology clinics at four tertiary university hospitals between March 2020 and March 2021 was conducted. A validated questionnaire collected data that included socio-demographic variables, characteristics of diabetes, diabetes-related complications and comorbidities, knowledge and attitudes toward DR and its screening, and barriers to DR screening. Univariate and multivariate logistic regression was employed to identify the factors associated with adherence to the annual diabetic eye examination. Adherence was defined as a history of the dilated ophthalmic exam in the past year and subsequent follow-ups recommended by the ophthalmologist.

The participants had an average age of 59 ± 14.2 years, and 53% were females. The average duration of diabetes was 108 ± 89.62 months. Based on the last ophthalmic examination, 50.8% of patients were non-adherent to the suggested DR screening guidelines. A history of smoking (p-value=0.013, 95%CI for OR: 1.21-5.10), lower education levels (p-value=0.045, 95%CI for OR: 1.02-3.82), and not clarifying the necessity of ophthalmic examination by primary physicians (p-value < 0.001, 95%CI for OR: 2.19-12.35) were significantly associated with non-adherence. Among non-adherent subjects, 38% reported fear of the COVID-19 pandemic, 21.3% cited the lack of information regarding DR screening, 10.7% cited lack of access to the ophthalmologist, 5.7% cited financial problems, and 10.7% noted a lack of support from family and friends as the main reason for non-attendance to the annual eye care.

This study revealed a non-compliance rate with DR screening guidelines that surpasses pre-pandemic figures. Although younger participants demonstrated a higher likelihood of recent eye care, this correlation lost significance in multivariate analysis, potentially reflecting education and technology utilization disparities. Despite uniform insurance coverage, socioeconomic factors, such as transportation challenges, may impede adherence. Furthermore, individuals informed by healthcare providers about the necessity of eye exams exhibited greater compliance; however, many newly diagnosed patients remained unaware of the risks associated with DR. The COVID-19 pandemic emerged as a prominent barrier, with numerous patients citing it as a reason for their non-compliance due to disruptions in clinical care.

Half of the diabetic subjects attending tertiary hospitals for non-ophthalmic complaints were non-adherent to recommended retinopathy screening. Lower education, smoking, and unawareness of the necessity of annual eye care had the strongest association with non-compliance. Fear of contracting COVID-19 was the most prevalent barrier to the eye examination. These findings underscore the necessity for targeted patient education initiatives, particularly among those with lower education levels and smokers.

The aim of the study is to compare macular sensitivity and retinal thickness in patients with long-term type 1 diabetes mellitus (DM1) without diabetic retinopathy (DR) after 5 years of follow-up. Thirty-two eyes from 32 long-term DM1 patients without DR were included. All participants underwent a complete ophthalmological examination, including microperimetry and spectral domain optical coherence tomography (SD-OCT). The data were compared with results from 5 years prior. The mean age of the DM1 patients was 43.19 ± 10.17 years, with a mean disease duration of 29.84 ± 8.98 years and good glycemic control. In 2023, patients exhibited a significantly worse best corrected visual acuity (BCVA) compared to 2018 (p < 0.001). DM1 patients did not show statistically significant changes in macular sensitivity over the 5-year follow-up period. Macular integrity showed significant differences between the two time points (p = 0.045). Retinal thickness showed significant differences, particularly in inner retinal layers (IRL) across most of the ETDRS areas. Long-term DM1 patients without DR lesions showed worsened macular integrity and a lower BCVA in 2023. Additionally, they displayed significant alterations in retinal thicknesses, especially in the IRL, between 2018 and 2023. These findings suggest that even in the absence of visible DR, long-term DM1 patients may experience subclinical retinal changes and functional deterioration over time, highlighting the importance of regular monitoring for the early detection and management of potential complications.

Chronic kidney disease (CKD) is a significant long-term complication of diabetes and is a primary contributor to end-stage kidney disease.

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.

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 (HbA1c), 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.

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 m2 had proteinuria, whereas 3.4% (234/6909) who had a UACR <30 mg/g presented with an eGFR <60 mL/min/1.73 m2. Compared with patients who were cognizant of CKD, those who were unaware of CKD had increased rates of HbA1c ≥7%, total cholesterol >5.18 μmol/L, LDL cholesterol >3.37 μmol/L, BMI ≥30 kg/m2, and hypertension.

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.

ClinicalTrials.gov NCT05047471; https://clinicaltrials.gov/study/NCT05047471.