Exploring the association of social connections and food security among adults with uncontrolled type 2 diabetes: a population-based study.

BACKGROUND: Primary health care professionals are held accountable for various quality measures in the treatment of patients with chronic diseases such as diabetes. Uncontrolled type 2 diabetes (T2D) remains a considerable health problem; thus, further studying patients with this condition is important for delivering effective interventions. Social determinants of health (SDoH) have been shown to affect various aspects of diabetes care in different subpopulations. We studied the association of SDoH with uncontrolled T2D in a population of adult primary care patients. METHODS: We retrospectively searched our electronic health record for adult patients (≥18 years) with a diagnosis of T2D and a hemoglobin A1c (HbA1c) level of 8% or higher. Patients were empaneled to 2 primary care clinic sites between January 1, 2021, and January 31, 2022. Patients were grouped by HbA1c level to stratify patients according to the extent of uncontrolled T2D. Patient characteristics were compared among groups. Unadjusted and adjusted multinomial logistic regression analysis was used to estimate the odds of various SDoH factors among patient groups with different levels of uncontrolled T2D. RESULTS: The study cohort included 1,596 patients. Most patients were White (79%), and the median age was 58.8 years. The median HbA1c level was 8.9%, and approximately 68% of patients were obese (body mass index [BMI] ≥30). When the study population was grouped by HbA1c level (8% to < 9% [n = 806], ≥9% to < 12% [n = 684], and ≥12% [n = 106]), significant differences among groups were observed in age group (P < .001), marital status (P < .001), race (P < .001), ethnicity (P = .001), and BMI category (P = .01). In groups with higher HbA1c levels, we noticed a higher percentage of patients who were aged 51 to 65 years or single. Among patients with uncontrolled HbA1c levels, more patients were obese than overweight. Patients in the intermediate HbA1c group had increased odds of food insecurity and some decreased social connections, even after adjusting for age, sex, race, ethnicity, and marital status. CONCLUSIONS: Among patients with uncontrolled T2D, higher HbA1c levels were associated with decreased social connections and increased food insecurity. Our findings provide insight into the role of these SDoH in managing T2D and have important implications for primary care practice.

Minimal mathematical model for glycation of albumin.

BACKGROUND: Glycated albumin (GA) is often described as a reflection of glucose exposure over the past 2-4 weeks. We examined the scale of the operative interval for changes in %GA from the perspective of a theoretical model for GA formation, by simulating the time course of changes in %GA after changes in glucose. METHODS: Probability of survival of albumin (A) was according to first-order elimination based on t1/2 of 17 days. Probability of formation of GA from A per unit time was proportional to glucose (G) and a glycation rate constant, k, deduced from reference values for %GA vs. G. We then simulated the kinetics of changes in %GA for conditions in which a prior steady-state (constant G) was followed by a step change in G. RESULTS: The glycation rate constant k was 9.79e-4/d/(mmol/L). We simulated changes in %GA for two scenarios involving step changes in G at time = 0: A. from 10 mmol/L to 15 mmol/L (%GA ultimately moves from 19.3% to 26.4%); B. from 15 mmol/L to 10 mmol/L (%GA ultimately moves from 26.4% to 19.3%). For both scenarios, the fractional transition of %GA between respective starting points and ultimate endpoints was after 30 days approximately 80% of the ultimate full transition. CONCLUSIONS: Model-based calculations support the description of %GA as a reflection of G over the past 4-6 weeks, longer than the period of 2-4 weeks that is commonly cited.

Performance evaluation of the glycated hemoglobin A1c analyzer for point-of-care testing compared with laboratory-based devices: a multicenter validation study.

In this dual-center study, we assessed the BioHermes A1C EXP M13 system for point-of-care (POC) HbA1c testing against two NGSP-certified HPLC instruments, the Bio-Rad D100 and Tosoh G8. Analyzing 605 samples, we evaluated the A1C EXP's reproducibility, sensitivity, specificity and impact of anemia on HbA1c measurements. The device showed excellent reproducibility with CVs under 2.4% and high sensitivity and specificity for diabetes diagnosis-98.1% and 96.8% against D100, and 97.1% and 96.7% against G8. Passing-Bablok regression confirmed a close correlation between A1C EXP and the HPLC instruments, with equations y = 0.10625 + 0.9688x (D100) and y = 0.0000 + 0.1000x (G8), and Bland-Altman plots indicated mean relative differences of -1.4% (D100) and -0.4% (G8). However, in anemic samples, A1C EXP showed a negative bias compared to HPLC devices, suggesting that anemia may affect the accuracy of HbA1c results. The study indicates that A1C EXP is a reliable POC alternative to laboratory assays, albeit with considerations for anemic patients.

Techniques for Implementing Continuous Glucose Monitoring in Primary Care: Key CGM Updates and Highlights from the ATTD 2024 Conference [Podcast].

This podcast discusses innovations, advancements, and discoveries in continuous glucose monitoring that were presented at the Advanced Technologies & Treatments for Diabetes 2024 Conference in Florence, Italy, held in March 2024. Specifically, the author will discuss Session two "CGM diabetes quality measures", Session three "hypoglycemia- any progress?", and Session 20, "CGM guided precision diabetes management".

Efficacy of Save Medical Corporation (SMC)-01, a Smartphone App Designed to Support Type 2 Diabetes Self-Management Based on Established Guidelines: Randomized Controlled Trial.

BACKGROUND: Lifestyle modifications are a key part of type 2 diabetes mellitus treatment. Many patients find long-term self-management difficult, and mobile apps could be a solution. In 2010, in the United States, a mobile app was approved as an official medical device. Similar apps have entered the Japanese market but are yet to be classified as medical devices. OBJECTIVE: The objective of this study was to determine the efficacy of Save Medical Corporation (SMC)-01, a mobile app for the support of lifestyle modifications among Japanese patients with type 2 diabetes mellitus. METHODS: This was a 24-week multi-institutional, prospective randomized controlled trial. The intervention group received SMC-01, an app with functions allowing patients to record data and receive personalized feedback to encourage a healthier lifestyle. The control group used paper journals for diabetes self-management. The primary outcome was the between-group difference in change in hemoglobin A1c from baseline to week 12. RESULTS: The change in hemoglobin A1c from baseline to week 12 was -0.05% (95% CI -0.14% to 0.04%) in the intervention group and 0.06% (95% CI -0.04% to 0.15%) in the control group. The between-group difference in change was -0.11% (95% CI -0.24% to 0.03%; P=.11). CONCLUSIONS: There was no statistically significant change in glycemic control. The lack of change could be due to SMC-01 insufficiently inducing behavior change, absence of screening for patients who have high intention to change their lifestyle, low effective usage of SMC-01 due to design issues, or problems with the SMC-01 intervention. Future efforts should focus on these issues in the early phase of developing interventions. TRIAL REGISTRATION: Japan Registry of Clinical Trials jRCT2032200033; https://jrct.niph.go.jp/latest-detail/jRCT2032200033.

The association of the basal TIMI flow, post-PCI TIMI flow and thrombus grade with HbA1c levels in non-diabetic patients with acute ST segment elevation myocardial infarction undergoing primary PCI.

OBJECTIVES: The acute phase of ST-segment elevation myocardial infarction (STEMI), as determined by TIMI angiographic criteria, is influenced by various factors that impact the patient's clinical outcome. However, the modifiable risk factors of impaired TIMI flow (TIMI<3) and its effective treatment are not fully understood. Hyperglycemia may induce a pro thrombotic state and thus affect TIMI flow before or after PCI. This study investigates the correlation between hemoglobin A1c levels, TIMI flow grade, and thrombus grade in infarct-related arteries, assessing its predictive value in non-diabetic patients with STEMI. METHODS: The 265 patients selected based on the hemoglobin A1c level lower than 6.5 % and were divided into three groups based on HbA1c level. Comparison between three groups in terms of risk factors, troponin level, blood glucose level, lipid profile, kidney function, number of involved vessels, type of MI, left ventricular ejection fraction, TIMI flow before and after primary angioplasty, thrombus burden, complications and hospital mortality was made. RESULTS: With the increase in HbA1c level, the prevalence of TIMI 3 flow after primary PCI decreased. The prevalence of TIMI flow 2-3 before angioplasty also decreased with the increase in HbA1c level. Increased hemoglobin A1c was also significantly related to large thrombus burden (p=0.021). Morover, hemoglobin A1c remained an independent predictor of post-PCI TIMI flow and thrombus burden. CONCLUSIONS: Elevated hemoglobin A1c is a predictor of TIMI flow less than 3 after primary PCI and high thrombus burden, in STEMI patients without a history of diabetes mellitus.

Techniques for Implementing Continuous Glucose Monitoring in Primary Care: Key CGM Updates and Highlights from the ADA 2024 Conference [Podcast].

This podcast discusses innovations, advancements, and discoveries in continuous glucose monitoring that were presented at the American Diabetes Association 84th Scientific Sessions held in Orlando, Florida, June 2024. Specifically, the author will discuss sessions focused on (1) Equity and access to new technologies; (2) The role of the interdisciplinary team in technology onboarding in primary care; (3) New technologies for glucose monitoring and sensing; (4) New technologies for continuous glucose monitoring (CGM); and (5) CGM implementation in primary care.

Blood glycated hemoglobin level is not associated with disease progression in amyotrophic lateral sclerosis.

Objective: A high glycemic index and high glycemic load diet has been associated with slower progression of amyotrophic lateral sclerosis (ALS), suggesting a benefit from high blood glucose levels. We examined the association between average blood glucose level and ALS progression in two independent cohorts. Methods: Sporadic ALS patients enrolled in the ALS Multicenter Cohort Study of Oxidative Stress (ALS COSMOS) who completed a 3-month follow-up visit and had available blood samples were included. Hemoglobin A1c (HbA1c) was measured from whole blood collected at the 3-month follow-up. From the Pooled Resource Open-Access ALS Clinical Trials (PRO-ACT) database, we included ALS patients with one or more HbA1c measurements at enrollment and available death information. Associations between HbA1c with revised ALS functional rating scale (ALSFRS-R)/ALSFRS total score change, and tracheostomy-free survival/survival were examined in these cohorts using linear regression, linear mixed-effects models, and Cox proportional hazard models, adjusted for covariates. Results: In the ALS COSMOS cohort (n = 193), HbA1c level was not significantly associated with the change in the ALSFRS-R total score from baseline to the 3-month follow-up (p = 0.8) nor baseline to the 6-month follow-up (p = 0.4). No significant association was found between HbA1c level and tracheostomy-free survival (p = 0.8). In the PRO-ACT cohort (n = 928), no significant association was found between HbA1c level and the rate of ALSFRS decline in the first 200 days (p = 0.81 for interaction) nor between HbA1c level and survival (p = 0.45). Interpretation: We did not find convincing evidence that mean blood glucose level is associated with disease progression among ALS patients.

A nomogram for predicting survival based on hemoglobin A1c and circulating tumor cells in advanced gastric cancer patients receiving immunotherapy.

BACKGROUND: Our study aimed to investigate the correlation between hemoglobin A1c (HbA1c), circulating tumor cells (CTCs) and prognosis in advanced gastric cancer (GC) patients who received immunotherapy and explore the potential prognostic predictors to develop a nomogram. METHODS: We retrospectively enrolled 259 patients with advanced GC treated at Beijing Friendship Hospital between September 2014 and March 2024. Patients were divided into the immunochemotherapy cohort (ICT) and the chemotherapy (CT) cohort. Survival rate was calculated by Kaplan-Meier survival curve, and the differences were evaluated by log-rank test. The univariate and multivariate Cox proportional hazards regression model was used to identify factors independently associated with survival. A nomogram was developed to estimate 6-, 12-, and 18-month progression-free survival (PFS) probability based on the ICT cohort. RESULTS: Patients achieved higher PFS in the ICT cohort than the CT cohort. We focused on the ICT cohort and constructed a nomogram based on the multivariate analysis, including five variables: age, PD-L1 expression, HbA1c, CTCs and CEA*. The concordance index value was 0.82 in the training cohort and 0.75 in the validation cohort. Furthermore, we proved the nomogram was clinically useful and performed better than PD-L1 expression staging system. Notably, we found high HbA1c level but not diabetes mellitus significantly affected the efficacy of ICT. CONCLUSION: ICT showed better PFS than CT. In addition, HbA1c and CTCs were novel biomarkers to predict PFS in patients treated with ICT. The nomogram could predict PFS of advanced GC patients receiving ICT with increased accuracy and favorable clinical utility.

Levels of plasma 25-hydroxy vitamin D and risk of developing type 2 diabetes in a large Danish primary health care population.

AIMS: Plasma levels of Vitamin D (25(OH)D) have been suggested as a predictor for developing type 2 diabetes. The purpose of this study was therefore to investigate if a measurement of plasma 25(OH)D could predict the development of type 2 diabetes in a cohort of 222,311 individuals from primary healthcare in Denmark. METHODS: The CopD-study database containing data from the Copenhagen General Practitioners Laboratory on blood tests conducted from April 2004 to January 2012 was used for identification of the study population. Incident type 2 diabetes was then defined as having at least two redeemed prescriptions of antidiabetics or at least two hospital contacts due to type 2 diabetes or one redeemed prescription and one hospital contact regarding type 2 diabetes. RESULTS: A total of 222,311 individuals were included in the study, of whom 7652 (3.4%) developed type 2 diabetes during the follow-up period of minimum one year. Individuals who developed type 2 diabetes had a significantly lower median 25(OH)D level than persons in the non-diabetes group. The hazard ratio for development of type 2 diabetes increased by 15% per 10 n mol/L decrease in 25(OH)D level. CONCLUSION: In this study of 222,311 persons from primary health care in Denmark, we found a clear inverse relationship between 25(OH)D and the risk of developing type 2 diabetes. Further studies should be conducted to clarify the mechanisms behind the relationship between 25(OH)D and type 2 diabetes and the effect of oral vitamin D supplementation on the development of type 2 diabetes.

Analytical performance evaluation of the GreenCare A1c and Cera-Stat HbA1c point-of-care testing assays.

BACKGROUND: The escalating prevalence of diabetes underscores the need for precise diagnostic tools to facilitate effective management. Hemoglobin A1c (HbA1c) is a crucial biomarker for long-term glycemic control in diabetic patients. Point-of-care testing (POCT) for HbA1c offers rapid, accessible alternatives to conventional laboratory methods, but uncertainties persist regarding the accuracy and reliability of POCT assays. METHODS: This study evaluates the analytical performance of two boronate-affinity based HbA1c POCT assays, the GreenCare A1c and Cera-Stat HbA1c. Various analytical parameters including precision, linearity, comparison, and accuracy are assessed following guidelines from Clinical and Laboratory Standards Institute (CLSI), with results applied to certification criteria from the National Glycohemoglobin Standardization Program (NGSP) and International Federation of Clinical Chemistry and Laboratory Medicine (IFCC). Furthermore, 52 and 13 frozen EDTA whole blood samples were respectively used for additional evaluation of accuracy and interference due to Hb variants for the GreenCare A1c assay. RESULTS: Both GreenCare and Cera-Stat demonstrated good precision (repeatability CV% 1.5-1.9 and total imprecision CV% 1.6-2.2), linearity (R2 = 0.9996 & 0.9990), and correlation (r = 0.982 & 0.978) with an established HbA1c analyzer, the Bio-Rad D100. The GreenCare also exhibited good accuracy with frozen EDTA samples with known HbA1c values. Both assays met the certification criteria from NGSP and IFCC, classifying them as "standard" according to IFCC model for quality targets for HbA1c. CONCLUSIONS: This evaluation affirms the reliability of GreenCare and Cera-Stat POCT assays for HbA1c measurements, which can potentially reduce unnecessary referrals and enhance the overall quality of diabetes diagnosis and treatment.

The Relationship Between Polychlorinated and Polybrominated Biphenyls and Glycated Hemoglobin among Electronics Workers.

Background: Polychlorinated biphenyls (PCBs) are persistent organic pollutants classified as endocrine disruptors related to prediabetes and diabetes. Polybrominated biphenyls are similar in structure to PCBs and are used as flame retardants. Due to the increased worldwide prevalence of diabetes, there is increased interest in understanding the role of environmental and occupational pollutants in its development. The study aims to assess the relation between PCBs and PBBs in the serum of electronic workers and glycated hemoglobin level as an early indicator of prediabetes and type 2 diabetes mellitus among occupationally exposed workers. Methods: Blood samples were collected from 152 workers to assess PCBs (by GCMS), random blood sugar (RBS), and glycated hemoglobin (HbA1c). Participants were classified into two groups according to the presence or absence of PCBs in their serum and were compared for RBS and HbA1c levels. Results: Only two participants had detectable PCB derivate in their serum by GCMS, PCB 1 with methyl and benzole side chains. Regarding PBBs, 18 participants (12%) had detectable PBBs in their serum by GCMS. All participants had RBS and HbA1c levels within the normal range. No statistically significant difference was found between mean levels of RBS and HbA1c between participants with detected biphenyls and those without. Conclusion: The banning of PCB use in industry and modern automated techniques have prevented exposure to PCBs among electronics workers. However, exposure to PBBs continues in electronic industries, but it has no association with diabetes or prediabetes.

Cut-off value of glycated hemoglobin A1c for detecting diabetic retinopathy in the Chinese population.

BACKGROUND: Glycated hemoglobin A1c (HbA1c) is considered the most suitable for diabetes mellitus diagnosis due to its accuracy and convenience. However, the effect of HbA1c on diabetic retinopathy (DR) in the Han and Korean populations in Jilin, China, remains inconclusive. AIM: To determine the best cut-off of HbA1c for diagnosing DR among the Chinese. METHODS: This cross-sectional study included 1933 participants from the Yanbian area of Jilin Province, China. Trained investigators employed a questionnaire-based survey, physical examination, laboratory tests, and fundus photography for the investigation. The best cut-off value for HbA1c was established via the receiver operating characteristic curve. The factors associated with HbA1c-associated risk factors were determined via linear regression. RESULTS: The analysis included 887 eligible Chinese Han and Korean participants, 591 of whom were assigned randomly to the training set and 296 to the validation set. The prevalence of DR was 3.27% in the total population. HbA1c of 6.2% was the best cut-off value in the training set, while it was 5.9% in the validation set. In both Chinese Han and Korean populations, an HbA1c level of 6.2% was the best cut-off value. The optimal cut-off values of fasting blood glucose (FBG) ≥ 7 mmol/L and < 7 mmol/L were 8.1% and 6.2% respectively in Han populations, while those in Korean populations were 6.9% and 5.3%, respectively. Age, body mass index, and FBG were determined as the risk factors impacting HbA1c levels. CONCLUSION: HbA1c may serve as a useful diagnostic indicator for DR. An HbA1c level of 6.2% may be an appropriate cut-off value for DR detection in the Chinese population.

Prevalence of Diabetes Mellitus in People Living With HIV in Dammam, Saudi Arabia.

Backgrounds The incidence of diabetes mellitus (DM) in people living with human immunodeficiency virus (HIV) receiving highly active antiretroviral therapy (HAART) is thought to be higher than that in noninfected people. The aim of this study was to investigate the prevalence of DM among people living with HIV in Dammam, Saudi Arabia (SA). Methods This was a cross-sectional study that included adult patients with HIV who were followed at Dammam Medical Complex. The electronic medical records of the patients were reviewed for their demographic data, comorbid conditions, and HIV history (e.g., duration and medications). The patients were categorized based on their glycated hemoglobin (A1C) levels into nondiabetic patients (A1C < 5.7%), prediabetic patients (A1C between 5.7% and 6.4%), and diabetic patients (A1C ≥ 6.5). Results A total of 769 HIV patients were assessed. The A1C of 325 patients could not be retrieved. The remaining 444 patients were included in the analysis. These consisted of 71 female patients (15.99%) and 373 male patients (84.01%). The average age of the patients was 38.62±11.33 years. Their duration for living with HIV was on average 3.76±3.15 years. The cohort consisted of 290 nondiabetic patients (65.32%), 107 prediabetic patients (24.1%), and 47 diabetic patients (10.59%). The nondiabetic patients were generally younger than the prediabetic patients (35.97 vs 40.72 years on average, P value < 0.001). They were infected with HIV for shorter durations (3.45 vs 4.19 years on average, P value < 0.05) with a higher percentage of patients receiving antiretroviral therapy (97.93% vs 84.11%, P value < 0.001). Similarly, the nondiabetic patients were generally younger than the diabetic patients (35.97 vs 50.19 years on average, P value < 0.001). They were also infected with HIV for shorter durations (3.45 vs 4.65 years on average, P value < 0.05) with, also, a higher percentage of patients receiving antiretroviral therapy (97.93% vs 89.36%, P value < 0.01). Conclusions The prevalence of DM among people living with HIV in Dammam, SA, was high with DM remaining highly underdiagnosed in this population. However, the prevalence of DM in this study involving mostly HIV patients treated with newer HAART agents was lower than what was reported in multiple previous studies that included patients using older agents.

The Effect of Sodium Glucose Cotransporter-2 Inhibitors on Hemoglobin A1c Variability and Acute Kidney Injury: A Causal Mediation Analysis.

PURPOSE: The role of lower hemoglobin A1c (HbA1c) variability in the effect of sodium glucose cotransporter-2 inhibitors (SGLT2i) on acute kidney injury (AKI) remains unclear. We compared AKI risk between SGLT2i and dipeptidyl peptidase 4 inhibitors (DPP4i) initiators. Additionally, we aimed to explore the extent to which SGLT2i's influence on AKI risk is mediated by reducing long-term HbA1c variability. METHODS: Using 2018-2022 year data in Yinzhou Regional Health Care Database, we included adult, type 2 diabetes patients who were new users of SGLT2i or DPP4i. The effect of SGLT2i versus DPP4i on AKI, HbA1c variability, and AKI through HbA1c variability was compared using inverse probability of treatment weighted Cox proportional hazards models, median regression models, and causal mediation analysis. RESULTS: With a median follow-up of 1.76 years, 19 717 adults (for SGLT2i, n = 6008; for DPP4i, n = 13 709) with type 2 diabetes were included. The adjusted hazard ratio for SGLT2i versus DPP4i was 0.79 (95% confidence interval [CI] 0.64-0.98) for AKI. The adjusted differences in median HbA1c variability score (HVS) and HbA1c reduction were -16.67% (95% CI: -27.71% to -5.62%) and -1.98% (95% CI: -14.34% to 10.38%), respectively. Furthermore, lower AKI risk associated with SGLT2i was moderately mediated (22.77%) through HVS. The results remained consistent across various subgroups and sensitivity analyses. CONCLUSIONS: Compared to DPP4i, lower AKI risk associated with SGLT2i is moderately mediated through HbA1c variability. These findings enhance our understanding of the effect of SGLT2i on AKI and underscore the importance of considering HbA1c variability in diabetes treatment and management.

The newly proposed plasma-glycosylated hemoglobin A1c/High-Density lipoprotein cholesterol ratio serves as a simple and practical indicator for screening metabolic associated fatty liver disease: an observational study based on a physical examination population.

BACKGROUND: Glycotoxicity and lipotoxicity are key pathophysiological mechanisms underlying the development of metabolic associated fatty liver disease (MAFLD). The primary objective of this study is to investigate the association between the newly proposed Plasma-Glycosylated Hemoglobin A1c/High-Density Lipoprotein Cholesterol Ratio (HbA1c/HDL-C ratio) and the risk of MAFLD. METHODS: A study population of 14,251 individuals undergoing health examinations was included. The association between the HbA1c/HDL-C ratio and MAFLD was analyzed using multivariable logistic regression and restricted cubic spline (RCS) analysis. Exploratory analyses were conducted to assess variations in this association across subgroups stratified by gender, age, body mass index (BMI), exercise habits, drinking status, and smoking status. The discriminatory value of the HbA1c/HDL-C ratio and its components for screening MAFLD was evaluated using receiver operating characteristic (ROC) curves. RESULTS: A total of 1,982 (13.91%) subjects were diagnosed with MAFLD. After adjusting for confounding factors, we found a significant positive association between the HbA1c/HDL-C ratio and MAFLD [odds ratio (OR) 1.34, 95% confidence interval (CI): 1.25, 1.44]. No significant differences in this association were observed across all subgroups (All P for interaction > 0.05). Furthermore, through RCS analysis, we observed a nonlinear positive correlation between the HbA1c/HDL-C ratio and MAFLD (P for non-linearity < 0.001), with a potential threshold effect point (approximately 3 for the HbA1c/HDL-C ratio). Beyond this threshold point, the slope of the MAFLD prevalence curve increased rapidly. Additionally, in further ROC analysis, we found that for the identification of MAFLD, the HbA1c/HDL-C ratio was significantly superior to HbA1c and HDL-C, with an area under the curve (AUC) and optimal threshold of 0.81 and 4.08, respectively. CONCLUSIONS: Our findings suggest that the newly proposed HbA1c/HDL-C ratio serves as a simple and practical indicator for assessing MAFLD, exhibiting well-discriminatory performance in screening for MAFLD.

Assessing the importance of risk factors for diabetic retinopathy in patients with type 2 diabetes mellitus: Results from the classification and regression tree models.

BACKGROUND: Diabetic retinopathy (DR) is one of the serious complications of diabetes mellitus (DM). Many studies have identified the risk factors associated with DR, but there is not much evidence on the importance of these factors for DR. This study aimed to investigate the associated factors for patients with type 2 DM (T2DM) and calculate the importance of the identified factors. MATERIALS AND METHODS: Using probability proportionate to size sampling method in this community-based cross-sectional study, 22 community health service centers were selected from 10 administrative districts in Shenzhen, China. Approximately 60 T2DM patients were recruited from each center. The participants completed a structural questionnaire, had their venous blood collected, and underwent medical examinations and fundus photography. Logistic regression models were used to identify the risk factors of DR. The classification and regression tree (CART) model was used to calculate the importance of the identified risk factors. RESULTS: This study recruited 1097 T2DM patients, 266 of whom were identified as having DR, yielding a prevalence rate of 24.3% (95% confidence interval [CI]: 21.7%-26.9%). Results showed that a longer duration of DM, indoor-type lifestyle, and higher levels of hemoglobin A1c (HbA1c) or urea increased the risk of DR. Patients with HbA1c values ≥7% were about 2.45 times (odds ratio: 2.45; 95% CI: 1.83-3.29) more likely to have DR than their counterparts. The CART model found that the values of variable importance for HbA1c, DM duration, lifestyle (i.e., indoor type), and urea were 48%, 37%, 10%, and 4%, respectively. CONCLUSION: The prevalence of DR is high for T2DM patients who receive DM health management services from the primary healthcare system. HbA1c is the most important risk factor for DR. Integration of DR screening and HbA1c testing into the healthcare services for T2DM to reduce vision impairment and blindness is urgently warranted.

Time for a Reframe: Shifting Focus From Continuous Glucose Monitor Uptake to Sustainable Use to Optimize Outcomes.

Continuous glucose monitors (CGMs) improve glycemic outcomes and quality of life for many people with diabetes. Research and clinical practice efforts have focused on CGM initiation and uptake. There is limited understanding of how to sustain CGM use to realize these benefits and limited consideration for different reasons/goals for CGM use. Therefore, we apply the Information-Motivation-Behavioral Skills (IMB) model as an organizing framework to advance understanding of CGM use as a complex, ongoing self-management behavior. We present a person-centered, dynamic perspective with the central thesis that IMB predictors of optimal CGM use vary based on the CGM use goal of the person with diabetes. This reframe emphasizes the importance of identifying and articulating each person's goal for CGM use to inform education and support.

Path analysis model to identify the effect of poor diet quality on NAFLD among Iranian adults from Amol Cohort Study.

Nonalcoholic fatty liver disease (NAFLD) is expanding as a global health problem with approximately 25% of the world's population affected by it. Dietary modification is one of the most important strategies for preventing NAFLD. The association between nutrient density and the Healthy Eating Index 2015 (HEI2015) with NAFLD demonstrates that nutrient density is an independent predictor of NAFLD in Iranian adults [fully adjusted model: OR (95% CI)tertile3vs.1: 0.68 (0.54-0.85), P for trend = 0.001]. However, a favorable association between NAFDL and diet quality (HEI 2015) is more pronounced in participants with abdominal obesity [fully adjusted model: OR (95% CI)tertile3vs.1: 0.63 (0.41-0.98), P for trend = 0.03]. Based on the gender-stratified path analysis, diet quality indirectly through Waist-to-Height Ratio (WHtR), C-reactive protein (CRP), and metabolic syndrome in women, and men through WHtR, hemoglobin A1c (HBA1c), CRP, and metabolic syndrome affects NAFLD. Nutrient density directly and indirectly in women through WHtR, CRP, and metabolic syndrome, and in men indirectly through WHtR, hemoglobin A1c, and metabolic syndrome negatively affect NAFLD. Hence, in these subjects; we can provide early dietary intervention and education to prevent progression to NAFLD.