Correlation between Serum 25 (OH) D Levels with Insulin Resistance and Metabolic Associated Fatty Liver Disease - A Retrospective Study based on Chinese Patients with Newly Diagnosed Type 2 Diabetes Mellitus.

AIMS: The objective of this study was to investigate the correlation between serum 25 hydroxyvitamin D [25(OH)D] levels and insulin resistance, as well as metabolic associated fatty liver disease (MAFLD) in newly diagnosed with type 2 diabetes mellitus(T2DM) patients. METHOD: A retrospective analysis was conducted on 491 T2DM patients who were newly diagnosed between January 2017 and August 2022 at Peking University International Hospital. These patients were categorized into three groups based on their 25(OH)D levels. RESULTS: The prevalence of MAFLD was significantly elevated in both the Vitamin D(VD) deficiency group and the VD insufficiency group compared to the VD sufficiency group (χ2 = 6.51, p<0.05). The patients in the VD sufficiency group had lower levels of insulin resistance，as assessed by the homeostasis model assessment when compared to the VD deficiency group and the VD insufficiency group (F = 8.61，p < 0.05). Additionally, the VD sufficiency group demonstrated higher levels of ß cell function in comparison to the other two groups(p<0.05， respectively). (2) A significant negative correlation was observed between 25(OH)D levels and insulin resistance, as assessed by the homeostasis model assessment in T2DM patients(r=-0.33，p<0.05 for females; r=-0.32，p<0.05 for males). (3) In male patients, 25(OH)D was identified as a protective factor against MAFLD(OR = 0.42;95%CI:0.19-0.95;p<0.05). Meanwhile，in female patients, 25(OH)D was also associated with a reduced risk of MAFLD(OR = 0.35;95%CI 0.17-0.89;p<0.05). Additionally, the study determined that the threshold values for 25(OH)D were 15.06 ng/ml in female patients and 18.79 ng/ml in male patients for predicting MAFLD. CONCLUSION: In newly diagnosed with T2DM patients, the level of 25(OH)D may be related to insulin resistance and ß cell secretion function independently and VD deficiency is an independent risk factor for MAFLD in patients with newly diagnosed T2DM.

Glycemic control and its associated factors among adult diabetic patients in Southern Ethiopia: a cross-sectional study.

Background: Diabetes mellitus is a group of common metabolic disorders that share the phenotype of hyperglycemia. Chronic hyperglycemia causes vascular complications, mortality, and life-threatening disabilities in low-income countries including Ethiopia. Glycemic control status in diabetic patients is crucial to maintain the blood glucose level at the optimal level and to reduce the risk of diabetes-related complications and mortality. However, there is limited data on poor glycemic control status and its associated factors among diabetic patients in southern Ethiopia, particularly in the study area. Thus, this study aimed to determine glycemic control status and its associated factors using glycated hemoglobin among adult diabetic patients at Nigist Elleni Mohammad Memorial Referral Hospital, Hossana, southern Ethiopia. Materials and methods: A facility-based cross-sectional study was conducted from May 1 to June 30, 2020. A systematic random sampling technique was used to recruit 307 diabetic patients at follow-up. Interviewer administered questionnaire was used to collect data on sociodemographic, clinical, and behavioral characteristics. Five milliliters of venous blood samples were collected to determine lipid profiles and hemoglobin A1C. Lipid profiles and hemoglobin A1C were measured by Cobas c311 analyzer. The data were analyzed by SPSS version 20. Bivariable and multivariable logistic regression were used to determine associated factors with poor glycemic control status. P-value <0.05 was considered statistically significant. Result: The overall prevalence of poor glycemic control among the study participants based on hemoglobin A1C ≥7% was 82.4%. Having a history of diabetic complications (AOR: 7.09, 95%CI: 1.72-29.16), duration of diabetes ≥7 years (AOR: 4.09, 95%CI: 1.38-12.08), insulin and oral hypoglycemic agents (AOR: 0.106 95%CI: 0.02-0.44), lack of self-glucose monitoring (AOR: 8.27, 95%CI: 1.61-42.46), lack of physical exercise (AOR: 5.5, 95%CI: 1.6-18.9) and dyslipidemia (AOR: 2.74, 95%CI: 1.12-6.66) were significantly associated with poor glycemic control. Conclusion: A high prevalence of poor glycemic control status (82.4%) was observed among diabetic patients in this study area, and disease-related factors like duration of diabetes, complication, treatment type and lack of self-glucose monitoring, physical exercise, and dyslipidemia were identified as factors significantly associated with poor glycemic control status. The finding of the current study should be taken into account to conduct a strategic and timely intervention on significantly associated factors to delay diabetic complications and to improve the health outcome of diabetic patients. Routine screening and monitoring of dyslipidemia and providing health education on behavioral factors were the necessary measures that should be conducted to reduce the burden of poor glycemic control status among diabetic patients.

C-Peptide and BMi predict anti-hyperglycemic treatment lines in breast cancer patients treated with Alpelisib.

PURPOSE: Alpelisib is a PI3K (Phosphoinositide 3-kinases) inhibitor used for breast cancer which develops hyperglycemia based on its action on glucose metabolism regulation. This study aims to identify potential risk factors predicting hyperglycemia development and the need for multiple treatments for hyperglycemia in patients receiving Alpelisib. METHODS: Fourteen women diagnosed with metastatic hormone receptor-positive breast cancer carrying PI3K mutations who initiated treatment with Alpelisib were monitored through consultations in the Oncology and Endocrinology departments. Non-parametric ROC curves were generated to assess the need for three or more antidiabetic medications to achieve glycemic control. RESULTS: The study population had a median age of 64 years (range:48-69) with a median body mass index (BMI) of 26.6 kg/m2 (range: 22.9-29.4). Overweight was observed in 35.7% of the participants and obesity in 21.4%. Fifty percent of the participants had prediabetes, and 85.7% developed hyperglycemia requiring pharmacological treatment, although none of them needed to discontinue treatment for this reason. Baseline C-peptide levels and BMI were associated with the number of antidiabetic drugs used (Spearman's Rho 0.553, p = 0.040; Spearman's Rho 0.581, p = 0.030, respectively). ROC curve analysis showed and area under the curve (AUC) of 0.819 for the variable risk profile (defined as baseline C-peptide >10.5 ng/ml and BMI > 27 kg/m2), whereas AUC values were 0.556 and 0.514 for HbA1c and baseline glucose, respectively, (p = 0.012). CONCLUSION: A joint follow-up by an Oncology department and a Diabetes Unit can prevent treatment discontinuation in patients under Alpelisib therapy. Baseline BMI and plasma C-peptide levels can predict an increased need for anti-hyperglycemic treatment.

Association between glycated albumin and adverse outcomes in patients with heart failure.

AIMS/INTRODUCTION: Diabetes mellitus is a traditional risk factor for heart failure (HF), and glycated albumin (GA) is a marker to assess short-term glycemic control. Whether GA has prognostic significance in patients with HF remains unclear. MATERIALS AND METHODS: A total of 717 patients with HF were enrolled in the prospective cohort study. Patients were grouped by the normal upper limit of GA (17%). Kaplan-Meier analysis and Cox proportional hazards regression were used to evaluate the association between GA and prognosis. RESULTS: During a mean follow-up of 387 days, 232 composite endpoint events of hospitalization for HF or all-cause death occurred. Kaplan-Meier analysis showed a higher rate of adverse events in the higher GA group (GA >17%; log-rank test P < 0.001). GA was an independent predictor of adverse events, both as a continuous variable (per 1% change: hazard ratio [HR] 1.03, 95% confidence interval [CI] 1.00-1.06, P = 0.030) and as a categorical variable (GA >17%: HR 1.36, 95% CI 1.03-1.80, P = 0.032). Restricted cubic splines showed a linear association between GA and adverse events (P for non-linearity = 0.231). There was no significant difference in adverse outcome risk between those with diabetes and GA ≤17% and those without diabetes, whereas the prognosis was worse in those with diabetes and GA >17% (HR 1.56, 95% CI 1.16-2.11, P = 0.004). Compared to the group with normal levels of GA and glycated hemoglobin, the group with GA >17% and glycated hemoglobin >6.5% had a higher risk of adverse events (HR 1.49, 95% CI 1.06-2.10, P = 0.022). CONCLUSIONS: GA was an independent predictor of HF prognosis. Combining GA and glycated hemoglobin might improve the predictive power of adverse outcomes in patients with HF.

Metformin Monotherapy With and Without Lifestyle Changes Affects Anthropometric Parameters, Blood Pressure, Blood Glucose, and Lipid Profile in Indian Patients With Newly Diagnosed Type 2 Diabetes.

INTRODUCTION: Type 2 diabetes mellitus (T2DM) is a consequence of insulin resistance, insulin deficiency, or both. It is usually seen in adults and is a consequence of genetic (polygenic inheritance), endogenous (obesity and or hormonal factors), and environmental factors (e.g., obesogenic environment, endocrine disrupting chemicals, stress, and medicines). The prevalence of T2DM has increased over the past few decades. South Asians, including Indians, are more prone to central adiposity and develop lifestyle diseases like T2DM at body mass index values lower than those considered normal for the Western population. Generally, the first line of treatment is metformin monotherapy with lifestyle changes in patients with T2DM. Most of the research conducted on this drug is on Western subjects. Since the Indian population has genetic differences in the site of deposition of adipose and is more prone to develop lifestyle diseases, the effect of metformin may be different in Indians. METHODS: Seventy-one (34 female, non-pregnant, non-lactating) adults with newly diagnosed T2DM were recruited in this short-duration pilot study after obtaining written informed consent. Patients regularly taking any drug were excluded, as were patients with chronic comorbidities. Treatment was initiated with metformin 500 mg OD. Lifestyle changes were recommended according to the age and physical condition of the patients. Anthropometric parameters (age, weight, height, BMI, waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR)), blood pressure, glycemic status (fasting and 2 h PP glucose and HbA1c), and lipid profile of the subjects were recorded before initiating and six months after initiating metformin monotherapy with lifestyle changes. RESULTS: Small but statistically significant improvements were observed in the WHR,WHtR, blood pressure, blood glucose, and glycated hemoglobin. Although improvement was also observed in weight and lipid profile, these changes were not statistically significant. CONCLUSION: This study shows that metformin monotherapy with lifestyle changes is suitable for patients of Indian origin and results in improvement in the WHR, WHtR, blood pressure, plasma glucose, and glycated hemoglobin.

MDI versus CSII in Chinese adults with type 1 diabetes in a real-world situation: based on propensity score matching method.

BACKGROUND: Compared with multiple daily insulin injections (MDI), continuous subcutaneous insulin infusion (CSII) is significantly more expensive and has not been widely used in Chinese type 1 diabetes mellitus (T1DM) patients. So there are still significant knowledge gaps regarding clinical and patient-reported outcomes in China. AIMS: This study aims to compare the glycated hemoglobin (HbA1C), insulin therapy related quality of life (ITR-QOL), fear of hypoglycemia (FOH) of adult T1DM patients treated with MDI and CSII based on propensity score matching in real-world conditions in China. METHODS: Four hundred twenty adult T1DM patients who were treated with MDI or CSII continuously for more than 12 months in a national metabolic center from June 2021 to June 2023 were selected as the study subjects. Their QOL and FOH were evaluated with Insulin Therapy Related Quality of Life Measure Questionnaire-Chinese version (ITR-QOL-CV) and the Chinese Version Hypoglycemia Fear Survey-Worry Scale (CHFSII-WS), and their HbA1C were collected at the same time. Potential confounding variables between the two groups were matched using propensity score matching. RESULTS: Of the 420 patients included in the study, 315 were in MDI group and 105 were in CSII group. 102 pairs were successfully matched. After matching, the total score of ITR-QOL-CV scale in CSII group was significantly higher than that in MDI group (87.08 ± 13.53 vs. 80.66 ± 19.25, P = 0.006). Among them, the dimensions of daily life, social life, and psychological state were all statistically different (P < 0.05). The scores of CHFSII-WS (8.33 ± 3.49 vs. 11.77 ± 5.27, P = 0.003) and HbA1C (7.19 ± 1.33% vs. 7.71 ± 1.93%, P = 0.045) in CSII group were lower than those in MDI group. CONCLUSIONS: 25.0% of T1DM adults are treated with CSII. Compared with adult T1DM patients treated with MDI, those treated with CSII have higher ITR-QOL, less FoH, and better control of HbA1C in real-world conditions in China. Therefore, regardless of economic factors, CSII is recommended for adult T1DM patients to optimize the therapeutic effect and outcomes.

An incidental finding of a hemoglobin E variant in a diabetic patient with an abnormal glycated hemoglobin level: a case report.

BACKGROUND: Glycated hemoglobin is a well-known marker for evaluating long-term glycemic control. However, the accuracy of glycated hemoglobin measurement can be affected by the presence of hemoglobin variants, which makes the determination and interpretation of glycated hemoglobin values in terms of glycemic control not only difficult but also misleading. Here we present the first ever case of a patient with type 2 diabetes with hemoglobin E from Nepal, diagnosed incidentally because of spurious glycated hemoglobin levels. CASE PRESENTATION: A 45-year-old Hindu Mongolian female with a history of type 2 diabetes for around 9 years but not very compliant with follow-ups was referred to our facility for plasma fasting and postprandial blood glucose levels and glycated hemoglobin. Fasting and postprandial blood sugars were found to be high. A consistent very low glycated hemoglobin by two different high-performance liquid chromatography (HPLC) methods compelled us to call the patient for a detailed clinical history and for the records of investigations done in the past. The patient has been a known case of type 2 diabetes for around 9 years and presented irregularly for follow-up visits. Around 4 years ago, she presented to a healthcare facility with fatigue, severe headaches, pain in the abdomen, discomfort, and dizziness for a couple of months, where she was shown to have high blood glucose. She was referred to a tertiary-level hospital in Kathmandu, where she was prescribed metformin 500 mg once daily (OD). Due to her abnormal hemoglobin A1c reports, she was then sent to the National Public Health Laboratory for repeat investigations. Her blood and urine investigations were sent. Complete blood count findings revealed high red blood cell and white blood cell counts, a low mean corpuscular volume, and a high red cell distribution width-coefficient of variation. Other parameters, including serum electrolytes, renal function tests, liver function tests, and urine routine examinations, were within normal limits. A peripheral blood smear revealed microcytic hypochromic red cells with some target cells. Hemoglobin electrophoresis showed a very high percentage of hemoglobin E, a very low percentage of hemoglobin A2, and normal proportions of hemoglobin A and hemoglobin F. A diagnosis of homozygous hemoglobin E was made, and family screening was advised. CONCLUSIONS: Clinicians should be aware of the limitations of glycated hemoglobin estimation by ion exchange high-performance liquid chromatography in patients with hemoglobin E and other hemoglobin variants. If the clinical impression and glycated hemoglobin test results do not match, glycated hemoglobin values should be determined with a second method based on a different principle, and glycemic status should be confirmed through alternative investigations, preferably those that are not influenced by the presence of hemoglobin variants (for example, boronate affinity chromatography, fructosamine test, glycated albumin test, the oral glucose tolerance test, continuous glucose monitoring, etc.). Consistent or even doubtful results should also raise the suspicion of a hemoglobin variant, which should be confirmed through further evaluation and investigations.

A microchip based Z-cell absorbance detector integrating micro-lenses and slits for portable liquid chromatography.

A miniaturized microchip-based absorbance detector was developed for portable high-performance liquid chromatography (HPLC) to test glycated hemoglobin (HbA1c). The microchip integrating a Z-shaped cell, two collimating micro-lenses and two ink-filled optical slits is small in size (30 mm × 15 mm × 7 mm). The Z-shaped cell has a cross-sectional size of 500 µm × 500 µm and a physical optical path length of 2 mm. Two collimating micro-lenses were inserted in empty grooves on both sides of the cell, one micro-lens for collimating the initial light and the other for focusing the transmitted light. Optical slits on each end of the cell were used to block the stray light. Therefore, this detector indicated a low stray light level (0.011 %) and noise level (2.5 × 10-4 AU). This detector was applied for the commercial HPLC system to detect HbA1c level, and showed a low limit of detection (0.5 µg/mL) and excellent repeatability (≤ 2.03 %). The sensitivity was enhanced by 3.4 times when the optical path length was increased from 0.5 mm to 2 mm and the stray light was blocked by optical slits. The miniaturized microchip-based absorbance detector developed shows a great potential for application in portable and compact HPLC.

Glycemic status, insulin resistance, and mortality from lung cancer among individuals with and without diabetes.

BACKGROUND: The effects of glycemic status and insulin resistance on lung cancer remain unclear. We investigated the associations between both glycemic status and insulin resistance, and lung cancer mortality, in a young and middle-aged population with and without diabetes. METHODS: This cohort study involved individuals who participated in routine health examinations. Lung cancer mortality was identified using national death records. Cox proportional hazards models were used to calculate hazard ratios (HRs) with 95% CIs for lung cancer mortality risk. RESULTS: Among 666,888 individuals (mean age 39.9 ± 10.9 years) followed for 8.3 years (interquartile range, 4.6-12.7), 602 lung cancer deaths occurred. Among individuals without diabetes, the multivariable-adjusted HRs (95% CI) for lung cancer mortality comparing hemoglobin A1c categories (5.7-5.9, 6.0-6.4, and ≥ 6.5% or 39-41, 42-46, and ≥ 48 mmol/mol, respectively) with the reference (< 5.7% or < 39 mmol/mol) were 1.39 (1.13-1.71), 1.72 (1.33-2.20), and 2.22 (1.56-3.17), respectively. Lung cancer mortality was associated with fasting blood glucose categories in a dose-response manner (P for trend = 0.001) and with previously diagnosed diabetes. Insulin resistance (HOMA-IR ≥ 2.5) in individuals without diabetes was also associated with lung cancer mortality (multivariable-adjusted HR, 1.41; 95% CI, 1.13-1.75). These associations remained after adjusting for changing status in glucose, hemoglobin A1c, insulin resistance, smoking status, and other confounders during follow-up as time-varying covariates. CONCLUSIONS: Glycemic status within both diabetes and prediabetes ranges and insulin resistance were independently associated with an increased risk of lung cancer mortality.

Effects of subclinical hypothyroidism in type II diabetes mellitus patients on biochemical, coagulation, and fibrinolysis status.

The aim of the currnet study to examine the effect of subclinical hypothyroidism (SCH) in diabetic patients on coagulation parameters. This retrospective case-control study involves 130 patients diagnosed with type 2 diabetes mellitus (T2DM), divided into 65 T2DM with newly diagnosed SCH and 65 euthyroid (EUT) T2DM patients without SCH. Fibrinogen (FIB) was significantly higher in SCH (508.2 ± 63.0 mg/dL) than EUT (428.1 ± 44.8 mg/dL). In the SCH patients, FIB correlated with several parameters, such as age (ß = 0.396), body mass index (ß = 0.578), glycated hemoglobin (ß = 0.281), and activated partial thromboplastin time (ß = 0.276). In conclusion SCH in DM patients appears to increase the magnitude of coagulopathy.

Investigating level of food security among patients with hypertension and diabetes at a student-run free clinic.

Background: Nutritional recommendations for patients with type 2 diabetes mellitus (T2DM) and hypertension assume high food security. However, food insecurity is estimated to affect 10% of the US population and more so patients at our student-run free clinic (SRFC). The aims of the study were to (1) assess food security in patients with a diagnosis of T2DM, hypertension, or both and (2) examine the relationship between food security and glycated hemoglobin (HbA1C) or blood pressure at an SRFC. Methods: Eligible participants completed a 10-item food security questionnaire and an item addressing perceived barriers. Most recent HbA1C and blood pressure measurements were gathered. Comparisons were made using univariate or multivariate linear regression analysis. Results: Results from 79 participants showed that 25.3% experienced high food security, 29.1% had marginal food security, 13.9% had low food security, and 30.4% had very low food security. No statistically significant association was found between food security category and HbA1C or blood pressure. However, we did find that approximately 73% of patients experienced some degree of food insecurity. Conclusions: Patients at our SRFC are ethnically and racially diverse, most have a high school education or less, and most have food insecurity. No association between food security category and HbA1C or blood pressure control was found. Providers should consider the degree of food insecurity and incorporate a culturally sensitive approach when making nutritional recommendations.

The association between glycated hemoglobin levels and long-term prognosis in patients with diabetes and triple-vessel coronary disease across different age groups: A cohort study.

AIM: Our study aimed to investigate the correlation between glycated hemoglobin (HbA1c) and adverse prognostic events in patients with diabetes and triple-vessel coronary disease (TVD). METHODS: This study ultimately included 2051 patients with TVD and diabetes. Patients were categorized into five groups based on their HbA1c levels: < 6.0 %, 6.0-6.4 %, 6.5-6.9 %, 7.0-7.9 %, and ≥ 8.0 %. The primary endpoint was all-cause death, and the secondary endpoint was major adverse cardiovascular and cerebrovascular events (MACCE). RESULTS: The median follow-up time was 5.88 years. During this period, a total of 323 (15.7 %) all-cause deaths and 537 (26.2 %) MACCEs were recorded. The relationship between HbA1c and the risk of endpoint events showed a J-shaped pattern, with the lowest risk observed between 6.0 % and 6.4 %. Further analysis revealed a significant interaction between HbA1c and age. In the subgroup with age < 70 years, as HbA1c increased, the risk of endpoint events gradually rose. While in the subgroup with age ≥70 years, there was an L-shaped relationship between HbA1c and endpoint events, with the highest risk observed in patients with HbA1c < 6.0 %. CONCLUSION: Our study revealed variations in the relationship between HbA1c levels and endpoint events among patients with TVD and diabetes of different ages. In younger patients, elevated HbA1c levels were associated with a higher risk of death and MACCE, while in older patients, excessively low HbA1c levels (HbA1c < 6 %) were linked to a higher risk of death and MACCE.

Unravelling relationships between obesity, diabetes, and factors related to somatosensory functioning in knee osteoarthritis patients.

OBJECTIVE: This study explores the association between obesity, diabetes, and somatosensory functioning in patients with knee osteoarthritis (OA), aiming to understand how metabolic conditions are related to pain mechanisms in this patient population. We hypothesized that higher body mass index (BMI), fat mass, and glycated hemoglobin levels (HbA1c) are associated with signs of altered somatosensory functioning. METHODS: A cross-sectional analysis was conducted as part of a larger multicentre prospective cohort study. Data were collected from patients awaiting total knee arthroplasty in Belgium and the Netherlands. Associations between BMI, fat mass, HbA1c, and various pain-related variables were examined employing Pearson and Spearman correlation analyses which were further analyzed with linear regression techniques. RESULTS: The study included 223 participants. Analysis revealed a significant although weak negative correlation between fat mass and pressure pain thresholds (PPT) at multiple locations, suggesting a link between higher fat mass and increased mechanical hyperalgesia. There were no significant correlations between BMI and pain-related outcomes. HbA1c levels showed very weak positive correlations with pain measures but did not withstand correction for multiple testing. CONCLUSION: The findings indicate that fat mass may be closely associated with altered somatosensory functioning in patients with knee OA. However, no significant correlations were found between BMI or HbA1c levels and pain-related outcomes. Future research should focus on longitudinal studies to elucidate the causal relationships and further explore the impact of metabolic factors on pain mechanisms in this patient population. Key Points • The findings indicate that fat mass may be closely associated with altered somatosensory functioning in patients with knee OA.

A nurse driven care management program to engage older diabetes patients in personalized goal setting and disease management.

Background and Aims: Multiple diabetes care guidelines have called for the personalization of risk factor goals, medication management, and self-care plans among older patients. Study of the implementation of these recommendations is needed. This study aimed to test whether a patient survey embedded in the Electronic Healthcare Record (EHR), coupled with telephonic nurse care management, could engage patients in personalized goal setting and chronic disease management. Methods: We conducted a single-center equal-randomization delayed comparator trial at the primary care clinics of the University of Chicago Medicine from 2018.6 to 2019.12. Patients over the age of 65 years with type 2 diabetes with an active patient portal account were recruited and randomized to receive an EHR embedded goal setting and preference survey immediately in the intervention arm or after 6 months in the delayed intervention control arm. In the intervention arm, nurses reviewed American Diabetes Association recommendations for A1C goals based on health status class, established personalized goals, and provided monthly telephonic care management phone calls for a maximum of 6 months. Our primary outcome was the documentation of a personalized A1C goal in the EHR. Results: A total of 100 patients completed the trial (mean age, 72.51 [SD, 5.22] years; mean baseline A1C, 7.14% [SD, 1.06%]; 68% women). The majority were in the Healthy (59%) followed by Complex (30%) and Very Complex (11%) health status classes. Documentation of an A1C goal in the EHR increased from 42% to 90% (p < 0.001) at 6 months in the intervention group and from 54% to 56% in the control group. Across health status classes, patients set similar A1C goals. Conclusions: Older patients can be engaged in personalized goal setting and disease management through an embedded EHR intervention. The clinical impact of the intervention may differ if deployed among older patients with more complex health needs and higher glucose levels. Trial Registration: ClinicalTrials.gov Identifier: NCT03692208.

Prediction of large-for-gestational-age at birth using fetal biometry in type 1 and type 2 diabetes: A retrospective cohort study.

OBJECTIVE: To compare ultrasound-assessed fetal head circumference (HC), abdominal circumference (AC), HC/AC ratio, and estimated fetal weight (EFW) in prediction of large-for-gestational-age (LGA) at birth in pregnancies affected by type 1 (T1DM) and type 2 (T2DM) diabetes. METHODS: This retrospective cohort study included all women with T1DM and T2DM giving birth to singletons between 2010 and 2019 at Aalborg University Hospital, Denmark. Ultrasound scans were performed at 16, 20, 28 and 34 weeks of pregnancy. LGA was defined as birth weight deviation of 15% or greater from the expected for gestational age (≥90th centile). Prediction of LGA was assessed by logistic regression adjusted for maternal characteristics and glycated hemoglobin (HbA1c) and area under the receiver operating characteristics curve (AUC). RESULTS: Among 180 T1DM pregnancies, 118 (66%) had an LGA neonate at birth. At 28 weeks of pregnancy, they were predicted with AUCHC/AC = 0.67, AUCAC = 0.85, and AUCEFW = 0.86. The multivariate analysis did not improve the predictive performance of the HC/AC ratio or AC. Among 87 T2DM pregnancies, 36 (41%) had an LGA neonate at birth. At 28 weeks, they were predicted with AUCHC/AC = 0.73, AUCAC = 0.83, and AUCEFW = 0.87. In T2DM, the multivariate analysis significantly improved the predictive performance for both HC/AC ratio and AC from 20 weeks of pregnancy. CONCLUSION: In T1DM and T2DM pregnancies, LGA is characterized by a general fetal overgrowth including both AC and HC. Therefore, AC and EFW perform better than the HC/AC ratio in the prediction of LGA. In T2DM, as opposed to T1DM, the predictive performance was improved by the inclusion of maternal characteristics and HbA1c in the analysis.

Prevalence and risk factors for diabetic retinopathy at diagnosis of type 2 diabetes: an observational study of 77 681 patients from the Swedish National Diabetes Registry.

INTRODUCTION: To assess the prevalence of diabetic retinopathy (DR) in persons with newly diagnosed type 2 diabetes (T2D) to understand the potential need for intensified screening for early detection of T2D. RESEARCH DESIGN AND METHODS: Individuals from the Swedish National Diabetes Registry with a retinal photo <2 years after diagnosis of T2D were included. The proportion of patients with retinopathy (simplex or worse) was assessed. Patient characteristics and risk factors at diagnosis were analyzed in relation to DR with logistic regression. RESULTS: In total, 77 681 individuals with newly diagnosed T2D, mean age 62.6 years, 41.1% females were included. Of these, 13 329 (17.2%) had DR.DR was more common in older persons (adjusted OR 1.03 per 10-year increase, 95% CI 1.01 to 1.05) and men compared with women, OR 1.10 (1.05 to 1.14). Other variables associated with DR were OR (95% CI): lower education 1.08 (1.02 to 1.14); previous stroke 1.18 (1.07 to 1.30); chronic kidney disease 1.29 (1.07 to 1.56); treatment with acetylsalicylic acid 1.14 (1.07 to 1.21); ACE inhibitors 1.12 (1.05 to 1.19); and alpha blockers 1.41 (1.15 to 1.73). DR was more common in individuals born in Asia (OR 1.16, 95% CI 1.08 to 1.25) and European countries other than those born in Sweden (OR 1.11, 95% CI 1.05 to 1.18). CONCLUSIONS: Intensified focus on screening of T2D may be needed in Sweden in clinical practice since nearly one-fifth of persons have retinopathy at diagnosis of T2D. The prevalence of DR was higher in men, birthplace outside of Sweden, and those with a history of stroke, kidney disease, and hypertension.

HbA1c overestimates the glucose management indicator: a pilot study in patients with diabetes, chronic kidney disease not on dialysis, and anemia using isCGM.

Introduction: There are multiple mechanisms by which HbA1c values can be altered in chronic kidney disease (CKD), which limits its usefulness as a strategy to assess glycemic control in this population. Methods: Concordance and agreement study between two diagnostic tests: HbA1c and glucose management indicator (GMI) measured by intermittently scanned continuous glucose monitoring (isCGM), based in a prospective cohort of patients with diabetes, CKD (glomerular filtration rate between 15 and 60 ml/min/1.73 m²), and anemia. The isCGM was performed for 3 months, and the GMI was compared with the HbA1c levels taken at the end of isCGM. Agreement was evaluated using Bland-Altman graph analysis and Lin's concordance correlation coefficient (CCC). The concordance of the measures with good glycemic control (<7%) was also evaluated. Results: A total of 74 patients were enrolled (median age 68.5 years, 51.3% female, 64.9% with CKD stage 3, hemoglobin 11.1 ± 1.2 g/l). The Bland-Altman analysis shows a mean difference between GMI and HbA1c of 0.757 ± 0.687% (95% limits of agreement: -0.590 and 2.105). Difference was greater as the values of GMI and HbA1c increased. The agreement was poor [CCC 0.477; 95% confidence interval (CI): 0.360-0.594], as well as the concordance of values with good glycemic control according to GMI versus HbA1c (67.5% versus 29.7%, p < 0.001) (Kappa 0.2430; 95% CI: 0.16-0.32). Conclusion: The HbA1c overestimates the GMI values with highly variable ranges of difference, which prevents a precise correction factor. isCGM probably is a safer option for monitoring and decision-making in this population, especially in patients treated with insulin where the risk of hypoglycemia is greater.

The effectiveness of chia seed in improving glycemic status: A systematic review and meta-analysis.

AIMS: This systematic review and meta-analysis aims to evaluate the effectiveness of chia seeds in improving glycemic status, including fasting blood glucose (FBG), glycated hemoglobin (HbA1c), and insulin. METHODS: A comprehensive literature search was conducted on PubMed, Scopus, Web of Science, Cochrane, and Google Scholar up to January 2024. Randomized controlled trials (RCTs) assessing the effect of chia seeds on FBG, HbA1c, and/or insulin that meet our eligibility criteria were included. Version 2 of the Cochrane risk-of-bias tool (RoB2) was used to assess the quality of the included studies. Data were extracted and analyzed using a random-effects model and reported as weighted mean differences (WMD) with 95 % confidence intervals (CI). Subgroup and sensitivity analyses were also performed. The registration number was CRD42023441766. RESULTS: Out of 341 articles retrieved from the initial search, 8 RCTs (with 10 arms) involving 362 participants were included in the meta-analysis. The results showed that chia consumption had no significant effect on FBG (WMD: 0.79 %; 95 % CI: -0.97 to 2.55; p = 0.38), HbA1c (WMD: -0.12 %; 95 % CI: -0.27 to 0.02; p = 0.09), and insulin (WMD:1.23 %; 95 % CI: -1.77 to 4.22; p = 0.42). CONCLUSIONS: Chia seed consumption shows no significant impact on FBG, HbA1c, and insulin levels. This study is limited by the small number of studies in the meta-analysis and the significant heterogeneity among them, necessitating further research with larger sample sizes.

Age-specific differences in association of glycosylated hemoglobin levels with the prevalence of cardiovascular diseases among nondiabetics: the National Health and Nutrition Examination Survey 2005-2018.

BACKGROUND: Previous research has supported the presence of an association between high glycated hemoglobin (HbA1c) levels and cardiovascular disease (CVD). The objective of the present study was to determine whether increased HbA1c levels are associated with high CVD prevalence among nondiabetics. Furthermore, we aimed to explore the possible interaction of HbA1c levels and age in regard to CVD. METHODS: This cross-sectional study analyzed data of 28,534 adult participants in the National Health and Nutrition Examination Survey 2005-2018. The association between HbA1c and CVD was assessed using univariate and multivariate logistic regression models. Propensity score matching was used to reduce selection bias. Subgroup analysis and restricted cubic spline (RCS) were used to further characterize the association between HbA1c levels and CVD. We modeled additive interactions to further assess the relationship between HbA1c levels and age. RESULTS: In the multivariate logistic regression model, a positive association was found between CVD and increased HbA1c levels (highest quartile [Q4] vs. lowest quartile [Q1]: odds ratio [OR] = 1.277, 95% confidence interval [CI] = 1.111-1.469, P = 0.001). In the stratified analyses, the adjusted association between HbA1c and CVD was significant for those younger than 55 years (Q4 vs. Q1: OR = 1.437, 95% CI = 1.099-1.880, P = 0.008). RCS did not reveal a nonlinear relationship between HbA1c levels and CVD among nondiabetics (P for nonlinearity = 0.609). Additionally, a high HbA1c level was favorably connected with old age on CVD, with a synergistic impact. CONCLUSIONS: Increased HbA1c levels were associated with high CVD prevalence among nondiabetics. However, we still need to carefully explain the effect of age on the relationship between HbA1c and CVD in nondiabetic population. Given the correlations of HbA1c with CVDs and CV events, HbA1c might be a useful indicator for predicting CVDs and CV events in the nondiabetic population.

Insulin resistance-related circulating predictive markers in the metabolic syndrome: a systematic review in the Iranian population.

Background: Specific biomarkers for metabolic syndrome (MetS) may improve diagnostic specificity for clinical information. One of the main pathophysiological mechanisms of MetS is insulin resistance (IR). This systematic review aimed to summarize IR-related biomarkers that predict MetS and have been investigated in Iranian populations. Methods: An electronic literature search was done using the PubMed and Scopus databases up to June 2022. The risk of bias was assessed for the selected articles using the instrument suggested by the Joanna Briggs Institute (JBI). This systematic review protocol was registered with PROSPERO (registration number CRD42022372415). Results: Among the reviewed articles, 46 studies investigated the association between IR biomarkers and MetS in the Iranian population. The selected studies were published between 2009 and 2022, with the majority being conducted on adults and seven on children and adolescents. The adult treatment panel III (ATP III) was the most commonly used criteria to define MetS. At least four studies were conducted for each IR biomarker, with LDL-C being the most frequently evaluated biomarker. Some studies have assessed the diagnostic potency of markers using the area under the curve (AUC) with sensitivity, specificity, and an optimal cut-off value. Among the reported values, lipid ratios and the difference between non-HDL-C and LDL-C levels showed the highest AUCs (≥ 0.80) for predicting MetS. Conclusions: Considering the findings of the reviewed studies, fasting insulin, HOMA-IR, leptin, HbA1c, and visfatin levels were positively associated with MetS, whereas adiponectin and ghrelin levels were negatively correlated with this syndrome. Among the investigated IR biomarkers, the association between adiponectin levels and components of MetS was well established. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-023-01347-6.