Differences in the effects of contrast agents on kidney injury and inflammatory response between diabetic and non-diabetic patients and their clinical significance.

With the increasing incidence of coronary heart disease (CHD), contrast-associated nephropathy (CAN) caused by contrast agents required in coronary angiography has gradually become a clinical concern that needs to be solved urgently. At present, CAN has become one of the most common causes of hospital-acquired acute kidney injury, which seriously affects the prognosis and health of patients. How to effectively identify high-risk CAN patients and prevent the occurrence of CAN has become a hotspot of clinical research. In this study, we attempted to evaluate the effect of contrast agents on renal injury in diabetes mellitus (DM) and non-DM patients by observing some indexes of early renal injury and inflammatory factors, so as to provide a more comprehensive reference for early identification of CAN in the future. The results showed that compared with non-DM patients, contrast agents caused more obvious renal damage in DM patients and more significantly activated inflammatory responses, increasing the risk of CAN. Cystatin C (CysC), neutrophil gelatinase-associated lipocalin (NGAL), C-reactive protein (CRP), and neutrophil-lymphocyte ratio (NLR) all showed excellent predictive effects for the occurrence of CAN after coronary angiography in both DM and non-DM patients.

Perioperative glucose monitoring with continuous glucose monitors identifies risk factors for post-transplant diabetes mellitus in kidney transplant recipients.

Post-transplantation diabetes mellitus (PTDM) negatively affects graft and patient survival after kidney transplantation (KT). This prospective study used continuous glucose monitoring (CGM) to evaluate perioperative blood glucose dynamics, identify PTDM risk factors, and compare predictive accuracy with capillary blood glucose monitoring (CBGM) in 60 non-diabetic living-donor KT recipients. Patients underwent 2-week pre- and postoperative CGM, including routine CBGM during their in-hospital stays. PTDM-related risk factors and glucose profiles were analyzed with postoperative CGM and CBG. PTDM developed in 14 (23.3%) patients and was associated with older age, male sex, higher baseline HbA1c, high-density lipoprotein cholesterol, and 3-month cumulative tacrolimus exposure levels. Male sex and postoperative time above the range (TAR) of 180 mg/dL by CGM were PTDM-related risk factors in the multivariate analysis. For predictive power, the CGM model with postoperative glucose profiles exhibited higher accuracy compared with the CBGM model (areas under the curves of 0.916, and 0.865, respectively). Therefore, we found that male patients with a higher postoperative TAR of 180 mg/dL have an increased risk of PTDM. Postoperative CGM provides detailed glucose dynamics and demonstrates superior predictive potential for PTDM than CBGM.

The Impact of Depression on Adherence to Diabetes Self-Management Behaviors in Breast Cancer Survivors.

OBJECTIVE: Breast cancer survivors (BCS) have higher rates of depression which is associated with lower adherence to medications, diet, and physical activity. Managing diabetes (DM) requires adherence to several of these self-management behaviors (SMB), and BCS have an increased risk of DM. We investigated whether depressive symptoms were associated with adherence to DM SMB in a cohort of BCS. METHODS: BCS with DM were surveyed semiannually for 2 years. Depression was assessed with the Hospital Anxiety and Depression Scale (HADS). Adherence to DM medication, diet, and physical activity was self-reported using the Medication Adherence Report Scale (MARS), Summary of Diabetes Self-Care Activities Assessment (SDSCA), and International Physical Activity Questionnaire (IPAQ), respectively. Using generalized linear equation modeling, the association of depressive symptoms with nonadherence to SMB was assessed, adjusting for age, race, marital status, education level, and beliefs about cancer and DM risk. RESULTS: Among 244 BCS with DM, those who were nonadherent to medication, diet, and/or physical activity had higher depression scores (p < 0.01). In adjusted analyses, higher depression scores were independently associated with dietary (OR = 1.16, p < 0.001) and physical activity nonadherence (OR = 1.18, p < 0.001) but not with medication nonadherence. Concerns about medications was independently associated with medication nonadherence (OR = 1.17, p = 0.024). CONCLUSIONS: Higher depression scores are associated with nonadherence to DM SMB in this cohort of BCS. These findings highlight the importance of addressing depressive symptoms in BCS to help improve adherence to DM medications, diet, and physical activity.

Pressure-Relieving Effect of Different Insole Top Covers in People with Diabetes at High Risk of Foot Ulceration.

Pressure-relieving footwear helps prevent foot ulcers in people with diabetes. The footwear design contributes to this effect and includes the insole top cover. We aimed to assess the offloading effect of materials commonly used as insole top cover. We measured 20 participants with diabetes and peripheral neuropathy for in-shoe peak pressures while walking in their prescribed footwear with the insole covered with eight different materials, tested in randomized order. Top covers were a 3 mm or 6 mm thick open or closed-cell foam or a 6 mm thick combination of open- and closed-cell foams. We re-assessed pressures after one month of using the top cover. Peak pressures were assessed per anatomical foot region and a region of interest (i.e., previous ulceration or high barefoot pressure). Walking comfort was assessed using a 10-point Likert scale. Mean peak pressure at the region of interest varied between 167 (SD:56) and 186 (SD:65) kPa across top covers (p < 0.001) and was significantly higher for the 3 mm thick PPT than for four of the seven 6 mm thick top covers. Across 6 mm thick top covers, only two showed a significant peak pressure difference between them. Over time, peak pressures changed non-significantly from -2.7 to +47.8 kPa across top cover conditions. Comfort ratings were 8.0 to 8.4 across top covers (p = 0.863). The 6 mm thick foams provided more pressure relief than the 3 mm thick foam during walking in high-risk people with diabetes. Between the 6 mm thick foams and over time, only small differences exist. The choice of which 6 mm thick insole top cover to use may be determined more by availability, durability, ease of use, costs, or hygienic properties than by superiority in pressure-relief capacity.

The Effect of Dimple Insole Design on the Plantar Temperature and Pressure in People with Diabetes and in Healthy Individuals.

An increase in plantar pressure and skin temperature is commonly associated with an increased risk of diabetic foot ulcers. However, the effect of insoles in reducing plantar temperature has not been commonly studied. The aim was to assess the effect of walking in insoles with different features on plantar temperature. Twenty-six (F/M:18/8) participants-13 with diabetes and 13 healthy, aged 55.67 ± 9.58 years-participated in this study. Skin temperature at seven plantar regions was measured using a thermal camera and reported as the difference between the temperature after walking with an insole for 20 m versus the baseline temperature. The mixed analyses of variance indicated substantial main effects for the Insole Condition, for both the right [Wilks' Lambda = 0.790, F(14, 492) = 4.393, p < 0.01, partial eta squared = 0.111] and left feet [Wilks' Lambda = 0.890, F(14, 492) = 2.103, p < 0.011, partial eta squared = 0.056]. The 2.5 mm-tall dimple insole was shown to be significantly more effective at reducing the temperature in the hallux and third met head regions compared to the 4 mm-tall dimple insole. The insoles showed to be significantly more effective in the diabetes group versus the healthy group, with large effect size for the right [Wilks' Lambda = 0.662, F(14, 492) = 8.037, p < 0.000, Partial eta-squared = 0.186] and left feet [Wilks' Lambda = 0.739, F(14, 492) = 5.727, p < 0.000, Partial eta-squared = 0.140]. This can have important practical implications for designing insoles with a view to decrease foot complications in people with diabetes.

The effect of educational interventions by nurses through Orem's self-care theory on the ability of self-care in myocardial Infarction patients in public sector hospital: A quasi-experimental study.

Objectives: To assess the impact of educational intervention by nurses guided by Orem's theory to reinforce the self-care abilities of patients experiencing myocardial infarction. METHODS: The prospective, quasi-experimental case-control study was conducted from September 2020 to April 2021 at Dr. Ruth K.M. Pfau Civil Hospital, Karachi, and comprised myocardial infarction and heart failure patients with comorbidities diabetes mellitus and hypertension. The patients were randomised into experiment group A and control group B. Group A received educational intervention one day before and one day after discharge in line with the American Heart Association guidelines. Two 30-45-minute sessions of seven modules were conducted. Group B received routine information from ward staff. Assessment was done at baseline and first month and second month post-intervention using the Heart Failure Self-Care Index version 6.2. Data was analysed using SPSS 21. RESULTS: Of the 80 patients, 40(50%) were in group A; 27(76.5%) males and 13(32.5%) females. The remaining 40(50%) patients were in group B; 20(50%) males and 20(50%) females. The overall age of the sample ranged 36-65 years and 48(60%) had a previous history of heart failure. The mean score of maintenance, management, confidence and overall self-care were significantly higher in group A compared to group B (p<0.05). Conclusion: Nursing self-care educational intervention based on Orem's theory was found to be highly effective among patients of myocardial infarction and heart failure with respect to their self-efficacy ability.

Handling false chronic kidney disease and diabetes treatment information.

While examining the social perspectives of chronic kidney disease (CKD) and its most common cause, diabetes, a common problem is spread of misleading information by unqualified people. This concerning trend makes it more difficult for patients to receive prompt and proper medical advice, which in turn further delays their referral to nephrologists and endocrinologists. In this communication, we highlight the challenges and consequences of this burning issue. We also propose the steps that various stakeholders and policy makers should take to contain this issue at the earliest.

3D Sapiotyping: A Three Dimensional Definition.

Precision medicine and personalized care have been at centre-stage in diabetology, and rightfully so. Various means of classification and clustering have been proposed to help identify clinical features, causative factors and 'curative' strategies for people living with diabetes. Sapiotype describes "the various attitudes that person with diabetes may have towards their disease, their doctor or health care providers, a specific diagnostic procedure, drug, delivery device, and the health care system at large". The sapiotypic spectrum is a wide one, which encapsulates sapiotypic fluidity, or variability in attitudes, as well. In this communication, we further expand the sapiotypic spectrum by creating a 3- dimensional model.

Ferroptosis and iron metabolism in diabetes: Pathogenesis, associated complications, and therapeutic implications.

Diabetes mellitus is a complex chronic disease, considered as one of the most common metabolic disorders worldwide, posing a major threat to global public health. Ferroptosis emerges as a novel mechanism of programmed cell death, distinct from apoptosis, necrosis, and autophagy, driven by iron-dependent lipid peroxidation accumulation and GPx4 downregulation. A mounting body of evidence highlights the interconnection between iron metabolism, ferroptosis, and diabetes pathogenesis, encompassing complications like diabetic nephropathy, cardiomyopathy, and neuropathy. Moreover, ferroptosis inhibitors hold promise as potential pharmacological targets for mitigating diabetes-related complications. A better understanding of the role of ferroptosis in diabetes may lead to an improvement in global diabetes management. In this review, we delve into the intricate relationship between ferroptosis and diabetes development, exploring associated complications and current pharmacological treatments.

Association and causality between diabetes and activin A: a two-sample Mendelian randomization study.

Activin A, a cytokine belonging to the transforming growth factor-beta (TGF-ß) superfamily, mediates a multifunctional signaling pathway that is essential for embryonic development, cell differentiation, metabolic regulation, and physiological equilibrium. Biomedical research using diabetes-based model organisms and cellular cultures reports evidence of different activin A levels between diabetic and control groups. Activin A is highly conserved across species and universally expressed among disparate tissues. A systematic review of published literatures on human populations reveals association of plasma activin A levels with diabetic patients in some (7) but not in others (5) of the studies. With summarized data from publicly available genome-wide association studies (GWASs), a two-sample Mendelian randomization (TSMR) analysis is conducted on the causality between the exposure and the outcome. Wald ratio estimates from single instruments are predominantly non-significant. In contrast to positive controls between diabetes and plasma cholesterol levels, inverse-variance-weighted (IVW), Egger, weighted median, and weighted mode MR methods all lead to no observed causal link between diabetes (type 1 and type 2) and plasma activin A levels. Unavailability of strong instruments prevents the reversal MR analysis of activin A on diabetes. In summary, further research is needed to confirm or deny the potential association between diabetes and plasma activin A, and to elucidate the temporal incidence of these traits in human populations. At this stage, no causality has been found between diabetes and plasma activin A based on TSMR analysis.

In Silico Screening of Therapeutic Targets as a Tool to Optimize the Development of Drugs and Nutraceuticals in the Treatment of Diabetes mellitus: A Systematic Review.

The Target-Based Virtual Screening approach is widely employed in drug development, with docking or molecular dynamics techniques commonly utilized for this purpose. This systematic review (SR) aimed to identify in silico therapeutic targets for treating Diabetes mellitus (DM) and answer the question: What therapeutic targets have been used in in silico analyses for the treatment of DM? The SR was developed following the guidelines of the Preferred Reporting Items Checklist for Systematic Review and Meta-Analysis, in accordance with the protocol registered in PROSPERO (CRD42022353808). Studies that met the PECo strategy (Problem, Exposure, Context) were included using the following databases: Medline (PubMed), Web of Science, Scopus, Embase, ScienceDirect, and Virtual Health Library. A total of 20 articles were included, which not only identified therapeutic targets in silico but also conducted in vivo analyses to validate the obtained results. The therapeutic targets most frequently indicated in in silico studies were GLUT4, DPP-IV, and PPARγ. In conclusion, a diversity of targets for the treatment of DM was verified through both in silico and in vivo reassessment. This contributes to the discovery of potential new allies for the treatment of DM.

Novel Molecules in Diabetes Mellitus, Dyslipidemia and Cardiovascular Disease 2.0.

Diabetes mellitus, dyslipidemia and cardiovascular disorders represent very prevalent chronic diseases in developed countries contributing to a high morbidity and loss of quality of life [...].

From iPSCs to Pancreatic ß Cells: Unveiling Molecular Pathways and Enhancements with Vitamin C and Retinoic Acid in Diabetes Research.

Diabetes mellitus, a chronic and non-transmissible disease, triggers a wide range of micro- and macrovascular complications. The differentiation of pancreatic ß-like cells (PßLCs) from induced pluripotent stem cells (iPSCs) offers a promising avenue for regenerative medicine aimed at treating diabetes. Current differentiation protocols strive to emulate pancreatic embryonic development by utilizing cytokines and small molecules at specific doses to activate and inhibit distinct molecular signaling pathways, directing the differentiation of iPSCs into pancreatic ß cells. Despite significant progress and improved protocols, the full spectrum of molecular signaling pathways governing pancreatic development and the physiological characteristics of the differentiated cells are not yet fully understood. Here, we report a specific combination of cofactors and small molecules that successfully differentiate iPSCs into PßLCs. Our protocol has shown to be effective, with the resulting cells exhibiting key functional properties of pancreatic ß cells, including the expression of crucial molecular markers (pdx1, nkx6.1, ngn3) and the capability to secrete insulin in response to glucose. Furthermore, the addition of vitamin C and retinoic acid in the final stages of differentiation led to the overexpression of specific ß cell genes.

Longitudinal trajectories of blood glucose and 30-day mortality in patients with diabetes mellitus combined with acute myocardial infarction: A retrospective cohort analysis of the MIMIC database.

BACKGROUND: Although blood glucose changes have been suggested to be a potential better target for clinical control than baseline blood glucose levels, the association of blood glucose changes with the prognosis in acute myocardial infarction (AMI) patients with diabetes mellitus (DM) is unclear. Herein, this study aimed to investigate association of short-term longitudinal trajectory of blood glucose with 30-day mortality in this population. METHODS: Data of AMI patients with DM were extracted from the Medical Information Mart for Intensive Care (MIMIC) database in 2003-2019 in this retrospective cohort study. The latent growth mixture modeling (LGMM) model was utilized to classify the 24-hour longitudinal trajectory of blood glucose of the patients. Kaplan-Meier (KM) curve was drawn to show 30-day mortality risk in patients with different trajectory classes. Univariate and multivariate Cox regression analyses were employed to explore the association of longitudinal trajectory of blood glucose within 24 hours after the ICU admission with 30-day mortality. Also, subgroups analysis of age, gender, and AMI types was performed. The evaluation indexes were hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: Among 1,523 eligible patients, 227 (14.9%) died within 30 days. We identified 4 longitudinal trajectories of blood glucose, including class 1 (a low initial average blood glucose level with steady trend within 24 hours), class 2 (a high initial average blood glucose with gently decreased trend), class 3 (the highest initial average blood glucose with rapidly decreased trend) and class 4 (a high initial average blood glucose level with the trend that increased at first and then decreased). After adjusting for covariates, an average blood glucose level of ≥200 mg/dL was linked to higher risk of 30-day mortality, comparing to that of <140 mg/dL (HR = 1.80, 95%CI: 1.23-2.63). Comparing to patients whose longitudinal trajectory of blood glucose conformed to class 1, those with class 2 (HR = 2.52, 95%CI: 1.79-3.53) or class 4 (HR = 3.53, 95%CI: 2.07-6.03) seemed to have higher risk of 30-day mortality. Additionally, these associations were also significant in aged ≥60 years old, female, male, NSTEMI, and STEMI subgroups (all P<0.05). CONCLUSION: A low level of average blood glucose at the ICU admission or reducing blood glucose to a normal level quickly with adequate measures in 24 hours after ICU admission may be beneficial for AMI patients with DM to reduce the risk of 30-day mortality. These findings may provide some information for further exploration on appropriate range of blood glucose changes in clinical practice.

High proportion of undiagnosed diabetes in patients surgically treated for infrarenal abdominal aortic aneurysm: findings from the multicentre Norwegian Aortic Aneurysm and Diabetes (ABANDIA) Study.

BACKGROUND: The aim was to investigate the total prevalence of known and undiagnosed diabetes mellitus (DM), and the association of DM with perioperative complications following elective, infrarenal, open surgical (OSR) or endovascular (EVAR), Abdominal Aortic Aneurysm (AAA) repair. METHODS: In this Norwegian prospective multicentre study, 877 patients underwent preoperative screening for DM by HbA1c measurements from November 2017 to December 2020. Diabetes was defined as screening detected HbA1c ≥ 48 mmol/mol (6.5%) or previously diagnosed diabetes. The association of DM with in-hospital complications, length of stay, and 30-day mortality rate were evaluated using adjusted and unadjusted logistic regression models. RESULTS: The total prevalence of DM was 15% (95% CI 13%,17%), of which 25% of the DM cases (95% CI 18%,33%) were undiagnosed upon admission for AAA surgery. The OSR to EVAR ratio was 52% versus 48%, with similar distribution among DM patients, and no differences in the prevalence of known and undiagnosed DM in the EVAR versus the OSR group. Total 30-day mortality rate was 0.6% (5/877). Sixty-six organ-related complications occurred in 58 (7%) of the patients. DM was not statistically significantly associated with a higher risk of in-hospital organ-related complications (OR 1.23, 95% CI 0.57,2.39, p = 0.57), procedure-related complications (OR 1.48, 95% CI 0.79,2.63, p = 0.20), 30-day mortality (p = 0.09) or length of stay (HR 1.06, 95% CI 0.88,1.28, p = 0.54). According to post-hoc-analyses, organ-related complications were more frequent in patients with newly diagnosed DM (n = 32) than in non-DM patients (OR 4.92; 95% CI 1.53,14.3, p = 0.005). CONCLUSION: Twenty-five percent of all DM cases were undiagnosed at the time of AAA surgery. Based on post-hoc analyses, undiagnosed DM seems to be associated with an increased risk of organ related complications following AAA surgery. This study suggests universal DM screening in AAA patients to reduce the number of DM patients being undiagnosed and to improve proactive diabetes care in this population. The results from post-hoc analyses should be confirmed in future studies.

Advances in the use of chlorhexidine for periodontitis treatment in diabetic patients: A review.

Periodontitis and diabetes mellitus exhibit a bidirectional relationship. This narrative review descriptively outlines the role of chlorhexidine in the periodontal treatment of diabetic patients, focusing on its antimicrobial mechanisms against microbial communities and its antiplaque effects. Although chlorhexidine is proven to be effective in combating microbial presence and improving gingivitis with substantial supporting evidence, its impact on glycemic control and insulin resistance in diabetic patients remains contentious. Additionally, the effectiveness of chlorhexidine as an adjunctive chemotherapeutic in the periodontal treatment of gestational diabetes has not yet been studied, highlighting a gap in research that necessitates further prospective studies and randomized controlled trials. Considering the interconnection between periodontal inflammation and glycemic levels, this article finally advocates for collaborative care between dental and medical professionals to manage periodontitis in diabetic patients effectively.

The Maximum Threshold Value for HbA1c in Diabetic Patients Undergoing Elective Total Knee Arthroplasty.

OBJECTIVE: To establish an optimal preoperative HbA1c threshold that enhances surgical outcomes and minimises postoperative complications in diabetic patients undergoing elective total knee arthroplasty (TKA). STUDY DESIGN: Prospective cohort study. Place and Duration of the Study: Department of Orthopaedics, First People's Hospital of Lianyungang, China, from January 2021 to March 2024. METHODOLOGY: A total of 152 diabetic patients scheduled for elective TKA were included. Data on preoperative HbA1c levels were collected and analysed to assess their impact on postoperative outcomes using the Oxford Knee Score (OKS). Patients were divided into groups based on HbA1c levels and compared for functional and pain recovery one year postoperatively. Statistical analyses included binary and multivariate logistic regression, with an emphasis on the minimum clinically important difference for OKS. RESULTS: Patients with a preoperative HbA1c below 7.35mmol/L exhibited significantly better functional and pain recovery outcomes at one-year post-TKA. The receiver operating characteristic curve (ROC) analysis confirmed the predictive power of HbA1c, with an Area Under the Curve of 0.734 for functional improvement and 0.721 for pain improvement. CONCLUSION: The study identifies 7.35mmol/L as the optimal preoperative HbA1c threshold for diabetic patients undergoing elective TKA, with lower levels associated with improved functional and pain outcomes. Maintaining HbA1c below this level preoperatively can significantly enhance postoperative recovery and patient satisfaction. KEY WORDS: Diabetes mellitus, Total knee arthroplasty, Haemoglobin A1c, Oxford knee score.

Objective Analysis of Traditional Chinese Medicine Syndrome Differentiation of Patients With Diabetes and Prediabetes: Protocol for a Nonrandomized, Exploratory, Observational Case-Control Study Using Digitalized Traditional Chinese Medicine Diagnostic Tools.

BACKGROUND: Diabetes and prediabetes are diagnosed differentially by Western and Chinese medicine. While Western medicine uses objective laboratory analysis of biochemical parameters to define the severity of diabetes and prediabetes, Chinese medicine uses a comprehensive approach that integrates observation, inquiry, pulse palpation, and tongue diagnosis. The medical information collected is then categorized into different syndromes. However, traditional methods of pulse and tongue diagnoses used to determine syndrome differentiation are highly subjective and skill dependent. OBJECTIVE: This study aims to identify the gap in conventional traditional Chinese medicine (TCM) diagnostic techniques for syndrome differentiation analysis using contemporary diagnostic devices. We devised a protocol for a nonrandomized, exploratory, observational case-control study with equal allocations in 5 arms to investigate the syndrome differentiation of diabetes and prediabetes. We hypothesize that the TCM syndrome differentiation of diabetes and prediabetes in the tropical climate may differ from that defined based on the Chinese demographic. We also speculate that the high-frequency spectral energy may reflect a difference in pulse wave intensity and density between the healthy and diabetes groups. METHODS: A total of 250 eligible participants will be equally assigned to 1 of 5 arms (healthy or subhealthy, prediabetes, diabetes, prediabetes with hypertension and dyslipidemia, and diabetes with hypertension and dyslipidemia). Participants aged 21-75 years, of any sex or race, and have been diagnosed with diabetes (fasting plasma glucose [FPG] of 7 mmol/L, or 2-hour plasma glucose [2hPG] of 11.1 mmol/L) or prediabetes (impaired FPG of 6.1-6.9 mmol/L, or impaired glucose tolerance with an 2hPG of 7.8-11 mmol/L) will be included. The Health Evaluation Questionnaire, Physical Activity Questionnaire, sugar intake assessment, Constitution in Chinese Medicine Questionnaire, radial pulse diagnosis, and tongue diagnosis will be performed in a single visit. ANOVA for continuous data and chi-square tests of independence will be used for categorical data assessments, with a level of P<.05 considered significant. RESULTS: The recruitment is in progress. We anticipate that the study will conclude in June 2025. As of July 15, 2024, we have enrolled 140 individuals. CONCLUSIONS: To the best of our knowledge, this is the first study to use contemporary TCM diagnostic instruments to map expert and empirical knowledge of TCM to its scientific equivalents for the purpose of evaluating the syndrome differentiation of diabetes. We designed this protocol with the exploratory goal to examine objectively the syndrome differentiation of patients with diabetes and those with prediabetes using TCM diagnostic technologies. The data collected and evaluated under standardized conditions using these contemporary diagnostic devices will exhibit a higher degree of stability, hence yielding dependable and unbiased results for syndrome differentiation. Thus, our findings may potentially increase the accuracy of identification, diagnosis, treatment, and prevention of diabetes and prediabetes through a system of targeted treatment. TRIAL REGISTRATION: ClinicalTrials.gov NCT05563090; https://clinicaltrials.gov/ct2/show/NCT05563090. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56024.

The Long-term Complications of Covid-19 Infection.

CONTEXT.­: As the Covid-19 pandemic continues into its 4th year, reports of long-term morbidity and mortality are now attracting attention. Recent studies suggest that Covid-19 survivors are at increased risk of common illnesses, such as myocardial infarction, diabetes mellitus and autoimmune disorders. Mortality may also be increased. This article will review the evidence that supports some of these observations and provide an opinion about their validity and their relevance to insured cohorts.

Lower regional urbanicity and socioeconomic status attenuate associations of green spaces with hypertension and diabetes mellitus: a national representative cross-sectional study in China.

BACKGROUND: High blood pressure (HBP) and diabetes mellitus (DM) are two of the most prevalent cardiometabolic disorders globally, especially among individuals with lower socio-economic status (SES). Studies have linked residential greenness to decreased risks of HBP and DM. However, there has been limited evidence on whether SES may modify the associations of residential greenness with HBP and DM. METHODS: Based on a national representative cross-sectional study among 44,876 adults, we generated the normalized difference vegetation index (NDVI) at 1 km spatial resolution to characterize individuals' residential greenness level. Administrative classification (urban/rural), nighttime light index (NLI), individual income, and educational levels were used to characterize regional urbanicity and individual SES levels. RESULTS: We observed weaker inverse associations of NDVI with HBP and DM in rural regions compared to urban regions. For instance, along with per interquartile range (IQR, 0.26) increment in residential NDVI at 0∼5 year moving averages, the ORs of HBP were 1.04 (95%CI: 0.94, 1.15) in rural regions and 0.85 (95%CI: 0.79, 0.93) in urban regions (P = 0.003). Along with the decrease in NLI levels, there were continuously decreasing inverse associations of NDVI with DM prevalence (P for interaction <0.001). In addition, weaker inverse associations of residential NDVI with HBP and DM prevalence were found among individuals with lower income and lower education levels compared to their counterparts. CONCLUSIONS: Lower regional urbanicity and individual SES could attenuate the associations of residential greenness with odds of HBP and DM prevalence.