HbA(1c) as a screening tool for detection of Type 2 diabetes: a systematic review

Deformability of Heterogeneous Red Blood Cells in Aging and Related Pathologies

Aging is interrelated with changes in red blood cell parameters and functionality. In this article, we focus on red blood cells (RBCs) and provide a review of the known changes associated with the characterization of RBC deformability in aging and related pathologies. The biophysical parameters complement the commonly used biochemical parameters and may contribute to a better understanding of the aging process. The power of the deformability measurement approach is well established in clinical settings. Measuring RBCs' deformability has the advantage of relative simplicity, and it reflects the complex effects developing in erythrocytes during aging. However, aging and related pathological conditions also promote heterogeneity of RBC features and have a certain impact on the variance in erythrocyte cell properties. The possible applications of deformability as an early biophysical biomarker of pathological states are discussed, and modulating PIEZO1 as a therapeutic target is suggested. The changes in RBCs' shape can serve as a proxy for deformability evaluation, leveraging single-cell analysis with imaging flow cytometry and artificial intelligence algorithms. The characterization of biophysical parameters of RBCs is in progress in humans and will provide a better understanding of the complex dynamics of aging.

Effect of stress management based self-care counseling on glycemic control in women with gestational diabetes mellitus: a randomized controlled trial study

BACKGROUND

Stress plays an important role in the consequences of gestational diabetes mellitus [GDM]. It is possible to make a change in the lifestyle by providing counseling in the field of self-care based on stress management in order to avoid the adverse consequences of GDM. Therefore, the present study was designed and implemented with the aim of determining the effect of self-care counseling based on stress management on blood sugar control in women with GDM.

METHODS

A randomized trial with two parallel arms was conducted involving 75 pregnant women diagnosed with GDM at 20-30 weeks of gestation, who were referred to Shohada Hospital in Behshahr city from July 2022 to March 2023. The women with GDM were divided into two groups for intervention and control through random block allocation. The intervention group received 8 virtual counseling sessions once a week for 45-50 min continuously based on stress management, while the control group only received antenatal usual care (AUC). The data were measured before and after the intervention using Fasting Blood Sugar [FBS] and HbA1c (glycated hemoglobin) tests, SDSCA [summary of diabetes self-care activities, NuPDQ‑17 [Prenatal Distress Questionnaire]and DASS [stress, depression and anxiety] questionnaires.

RESULTS

The mean FBS in the intervention group were significantly lower than the control group after the intervention (P < 0.001, η2 = 0.49). The HbA1c level was lower in the intervention group than in the control group, but not statistically significant (P = 0.078). The mean score of SDSCA after counseling in the intervention group was significantly higher than the control group (P < 0.001, η2 = 0.79). Also, the NuPDQ-17 after counseling in the intervention group was significantly lower than the control group (P < 0.001, η2 = 0.67). Moreover, the mean scores of the depression (P < 0.001, η2 = 0.82), anxiety (P < 0.001, η2 = 0.67) and stress (P < 0.001, η2 = 0.77) were significantly lower in the intervention group than in the control group.

CONCLUSION

Stress management-based self-care counseling to prenatal usual care could be considered as an adjunctive care option for reducing on blood sugar and increasing the self-care activities of pregnant women with gestational diabetes and reducing their stress during pregnancy.

A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules

According to the World Health Organization (WHO) data from 2000 to 2019, the number of people living with Diabetes Mellitus and Chronic Kidney Disease (CKD) is increasing rapidly. It is observed that Diabetes Mellitus increased by 70% and ranked in the top 10 among all causes of death, while the rate of those who died from CKD increased by 63% and rose from the 13th place to the 10th place. In this work, we combined the drug dose prediction model, drug-drug interaction warnings and drugs that potassium raising (K-raising) warnings to create a novel and effective ontology-based assistive prescription recommendation system for patients having both Type-2 Diabetes Mellitus (T2DM) and CKD. Although there are several computational solutions that use ontology-based systems for treatment plans for these type of diseases, none of them combine information analysis and treatment plans prediction for T2DM and CKD. The proposed method is novel: (1) We develop a new drug-drug interaction model and drug dose ontology called DIAKID (for drugs of T2DM and CKD). (2) Using comprehensive Semantic Web Rule Language (SWRL) rules, we automatically extract the correct drug dose, K-raising drugs, and drug-drug interaction warnings based on the Glomerular Filtration Rate (GFR) value of T2DM and CKD patients. The proposed work achieves very competitive results, and this is the first time such a study conducted on both diseases. The proposed system will guide clinicians in preparing prescriptions by giving necessary warnings about drug-drug interactions and doses.

The pattern of diabetic care and glycemic control among the ambulatory diabetic patients in tertiary care settings in Bangladesh

Diabetes mellitus is a major public health concern in Bangladesh. The pattern of diabetic care and control of blood sugar among diabetic patients are not well described. We assessed the pattern of diabetic care among ambulatory diabetic patients attending tertiary care hospitals in Bangladesh, and explored the relationship of glycemic control with behavioral and metabolic risks. Any patient 18 years and older attending the medicine outpatient department (OPD) at randomly selected three government tertiary hospitals in three divisions in Bangladesh were examined by hospital doctors. If a patient who was diagnosed as having diabetes and produced any medical document to support the diagnosis was recruited following an informed consent. Data on socio-demographic characteristics, diabetic care plan and behavioral risks, including tobacco use, physical activity, healthy diet (daily fruits and vegetable consumption) and salt intake were obtained from study participants by recall. Three milliliters of venous blood were tested to determine uncontrolled diabetes by measuring glycated hemoglobin (HbA1C > 7.0), and hyperlipidemia by measuring total cholesterol (> 200 mg/dL), high density lipoprotein/HDL (< 40 Mg/dL, low density lipoprotein/ LDL (> 200 mg/dL), and Triglyceride (> 160 mg/dL). A Total of 465 patients were enrolled. The Mean age was 49 years (SD:11) and 58% were women. Sixty percent patients were on a treatment plan of anti-diabetic drugs (drug), healthy diet (diet) and physical activity (PA), 13.3% diet and drug, 9.7% on drug only, 6.4%  on diet and PA, 3.9% on PA and drug, 1.3% on PA only and 0.9% on diet only. Two- third of the patients (68.6%) had uncontrolled diabetes, which was three times higher, if a patient had diabetes for more than five years than otherwise (OR: 3.31, 95% CI 2.06-5.33), two times higher if a patient did not consume fruits  (OR: 2.28, 1.34-3.87), or three times higher, if a patient did not consume vegetables (OR: 3.70, 95% CI 1.80-7.59) than otherwise, 78% higher, if a patient had taken extra salt in meal than otherwise (OR: 1.78, 95% CI 1.13-2.80) and nine times higher, if a patient had a raised total cholesterol level (> 200 mg/dL) than otherwise (OR: 9.60, 95% CI 2.60-35.40) and three times higher, if a patient had a raised LDL level compared than otherwise (OR: 3.33, 95% CI: 1.93-5.70). Diabetic patients seeking care at tertiary hospitals in Bangladesh follow diverse diabetic care plans and the majority of them do not have diabetes under control. Unhealthy dietary practice and hyperlipidemia among diabetic patients contribute to uncontrolled diabetes. Routine monitoring of blood glucose and enforcing lifestyle modifications could promote effective control of diabetes among diabetic patients in Bangladesh.

Benchmarking the medication efficiency and technological progress of diabetes drugs

Background

Diabetes poses a serious global challenge, given its increasing prevalence, detrimental effects on public health, and substantial economic burden. Since 1950s, tens of drugs have been approved by the United States (US) Food and Drug Administration (FDA). In the past decade, the medical community and regulatory agencies have moved away from the glucose-centric paradigm and increasingly call for a holistic approach to assess different treatments' benefits and harms.

Objective

This study aimed to assess the medication efficiency and technological progress of Type 2 Diabetes (T2D) drugs, by considering their physiological outcomes, including both benefits (i.e., glucose lowering and weight loss) and adverse effects (mortality), relative to dosing frequency.

Methods

To derive medication efficiency, this study utilized data from the US FDA and prominent meta-analyses. Given that both the benefits and adverse effects of medications are multidimensional, this study employed a nonparametric frontier method, the data envelopment analysis (DEA) model, to integrate these factors into a measure of medication efficiency. Physiological outcomes could assume both positive and negative values. Adverse effects were regarded undesirable outputs. The DEA model was built under the framework of directional distance function and was able to handle negative and undesirable values which naturally arose in the case of T2D medications.

Results

The paper presented a ranking of 20 T2D drugs in terms of medication efficiency. Three of them were able to attain the highest medication efficiency, all of which were in the GLP-1 class, including oral Semaglutide, subcutaneous Semaglutide and Dulaglutide. However, the other two GLP-1 drugs, Lixisenatide and Liraglutide, were less efficient. The average medication efficiency of drugs approved post-2010 was significantly higher than pre-2010 drugs. High dose frequency, low HbA1c reduction and insignificant weight loss were the main driving factors behind inefficiencies. Overall, medication efficiency provided an alternative perspective on treatment effectiveness other than conventional measures such as cost-effectiveness.

GLP-1 Receptor Agonists and Risk of Paralytic Ileus: A drug-target Mendelian Randomization Study

Background

Paralytic ileus (PI), a condition characterized by reduced bowel motor activity without physical obstruction, can be affected by complications from type 2 diabetes (T2D) and anti-diabetic medications. It is unclear of the causal associations of glucagon-like peptide-1 receptor agonists (GLP-1RAs) with the risk of PI in the context of T2D management.

Methods

To investigate the causal relationship of GLP-1RAs with PI, we conducted a 2-sample mendelian randomization (MR) study based on summary statistics from genome-wide association studies (GWAS). Genetic variants in the GLP1R were identified as genetical proxies of GLP-1RAs by the glycemic control therapy, based on genetic associations with glycated hemoglobin (GWAS n=344,182) and T2D (ncases/controls=228,499/1,178,783). The effects of GLP-1RAs were estimated for PI risk (ncases/controls=517/182,423) using GWAS data from the FinnGen project.

Results

Based on MR analysis, GLP-1RAs are causally associated with a decreased risk of PI (OR per 1 mmol/mol decrease in glycated hemoglobin: 0.21; 95% confidence interval [CI]=0.06-0.69). The magnitude of these benefit exceeded those expected from improved glycemic control more generally.

Conclusions

Our study's findings show that GLP-1RAs are causally associated with a lower risk for PI, which provides information to guide clinicians in the selection of appropriate therapies for individuals with T2D while mitigating the risk of developing PI. Investigating the underlying mechanisms that contribute to the lower PI risk associated with GLP-1RAs is essential for a deeper understanding of these associations.

Do Children's Health Behaviors Buffer the Impact of Cumulative Environmental Stress on Emerging Cardiometabolic Risk?

BACKGROUND

Previous studies have found that exposure to childhood environmental stress is associated with cardiometabolic risk. However, it is not known whether individual health behaviors disrupt this relationship. This study prospectively evaluated the relationship between cumulative environmental stress in a low-income sample and cardiometabolic risk in middle childhood and examined whether child health behaviors attenuated this relationship.

METHODS AND RESULTS

In a cohort of children (n=338; 57% Hispanic children; 25% Black children), environmental stressors (family and neighborhood factors representing disadvantage/deprivation) and child health behaviors (accelerometry measured physical activity; parent-reported screen time and diet recalls) were measured over 5 time points beginning when children were aged 2 to 4 years and ending when they were aged 7 to 11 years. Children's cardiometabolic risk factors (body mass index, blood pressure, triglyceride/high-density lipoprotein ratio, glucose, hemoglobin A1c, C-reactive protein) were measured at 7 to 11 years. Emerging cardiometabolic risk was defined as having ≥1 elevations that exceeded clinical thresholds. In adjusted path analyses, greater cumulative environmental stress was associated with higher likelihood of emerging cardiometabolic risk in middle childhood (P<0.001). Higher levels of moderate to vigorous physical activity and fewer sedentary minutes attenuated the positive relationship between stress and cardiometabolic risk (P<0.05). Children with >2 hours of average daily screen time had a higher likelihood of elevated cardiometabolic risk (P<0.01), but screen time did not moderate the stress-cardiometabolic risk relationship. Dietary intake was not related to cardiometabolic risk.

CONCLUSIONS

Interventions that promote moderate to vigorous physical activity and limit sedentary behavior may have particular importance for the cardiometabolic health of children exposed to high levels of cumulative environmental stress.

Identification of diagnostic biomarkers used in the diagnosis of cardiovascular diseases and diabetes mellitus: A systematic review of quantitative studies

AIMS

To perform a systematic review of studies that sought to identify diagnostic biomarkers for the diagnosis of cardiovascular diseases (CVDs) and diabetes mellitus (DM), which could be used in low- and middle-income countries (LMICs) where there is a lack of diagnostic equipment, treatments and training.

MATERIALS AND METHODS

Papers were sourced from six databases: the British Nursing Index, Google Scholar, PubMed, Sage, Science Direct and Scopus. Articles published between January 2002 and January 2023 were systematically reviewed by three reviewers and appropriate search terms and inclusion/exclusion criteria were applied.

RESULTS

A total of 18 studies were yielded, as well as 234 diagnostic biomarkers (74 for CVD and 160 for DM). Primary biomarkers for the diagnosis of CVDs included growth differentiation factor 15 and neurogenic locus notch homologue protein 1 (Notch1). For the diagnosis of DM, alpha-2-macroglobulin, C-peptides, isoleucine, glucose, tyrosine, linoleic acid and valine were frequently reported across the included studies. Advanced analytical techniques, such as liquid chromatography mass spectrometry, enzyme-linked immunosorbent assays and vibrational spectroscopy, were also repeatedly reported in the included studies and were utilized in combination with traditional and alternative matrices such as fingernails, hair and saliva.

CONCLUSIONS

While advanced analytical techniques are expensive, laboratories in LMICs should carry out a cost-benefit analysis of their use. Alternatively, laboratories may want to explore emerging techniques such as infrared, Fourier transform-infrared and near-infrared spectroscopy, which allow sensitive noninvasive analysis.

What Is the Influence of HIV Serostatus on HbA1c? A Prospective Analysis Using Continuous Glucose Monitoring

OBJECTIVE

Type 2 diabetes (T2D) is reported to be more common in people living with HIV (PLWH). Clinical guidelines recommend screening for diabetes in PLWH, but there is no agreed method due to studies reporting HbA1c is falsely low in PLWH. These studies were performed in the early HIV era when participants were taking older preparations of antiretroviral therapy that are rarely used today. We aimed to investigate whether HIV serostatus influences HbA1c.

RESEARCH DESIGNS AND METHODS

We conducted a prospective cohort study of PLWH and age- and sex-matched HIV-negative participants who were purposely recruited from clinics in Brighton, U.K. Each participant wore a Dexcom G6 continuous glucose monitor (CGM) for up to 10 days, had glucose measured during an oral glucose tolerance test, and fructosamine and paired HbA1c were measured. We performed regression analysis to assess the influence of HIV on HbA1c and used a separate model for CGM glucose, venous glucose, and fructosamine. In addition, we included predictor variables used in previous studies that explored HbA1c discrepancy.

RESULTS

We recruited 60 PLWH (90% men, 50% with T2D, mean ± SD age 57 ± 10.7 years, 100% undetectable viral load) and 48 people without HIV (92% men, 30% with T2D, mean age 57.7 ± 8.9 years). We found that HIV serostatus did not have a significant influence on HbA1c within the regression models.

CONCLUSIONS

We performed a comprehensive assessment of glycemia to assess whether HIV serostatus influences HbA1c. We did not find any strong evidence that HIV serostatus influenced HbA1c. The results of our study support incorporating HbA1c into routine clinical blood work in PLWH.

Effect of community-based public health service on health-related quality of life among middle-aged and older adults with chronic diseases in China

BACKGROUND

The growing prevalence of non-communicable chronic diseases poses a significant public health challenge globally, particularly impacting the well-being of aging populations. This study aims to assess the impact of community-based public health service (PHS) on the health-related quality of life (HRQoL) among middle-aged and older adults with chronic diseases in China.

METHODS

Utilizing data from the China Health and Retirement Longitudinal Study, we constructed a novel scale based on the 36-Item Short Form Health Survey (SF-36) to measure the HRQoL of middle-aged and older patients with hypertension and/or type-2 diabetes. Multivariate linear regression models with Instrument Variables and Propensity Score Matching techniques were applied to examine the effect of PHS on the HRQoL of identified chronic disease patients.

RESULTS

Among 8,403 hypertensive and/or diabetic patients, only 10.98% had received PHS. After adjusting for covariates, PHS exhibited a significant association with an elevated overall SF-36 score (β = 3.539, p < 0.001). Similar effects were observed in the physical and mental component summary scores, with increases of 1.982 (p < 0.001) and 5.095 (p < 0.001), respectively. Sensitive analysis affirmed the robustness of these findings. Heterogeneity analysis revealed significant HRQoL improvements among males, females, those aged 70 and older, patients with comorbidities, and urban residents, while the effect was less pronounced in the middle-aged, those without comorbidities, or rural dwellers.

CONCLUSION

Community-based PHS has exerted a positive impact on both the physiological and psychological aspects of HRQoL among middle-aged and older chronic disease patients, with effects varying among individuals with different characteristics. Our findings advocate for enhancing the delivery and utilization of government-funded PHS, increasing health literacy, and promoting early prevention strategies for chronic diseases. Furthermore, targeted health management initiatives for patients with comorbidities and enhancements in the quality of community healthcare services, particularly in rural areas, are deemed necessary.

Association between glucose levels and all-cause mortality in cancer survivors: findings from NHANES 1999-2018

BACKGROUND

Hyperglycemia is a rapidly increasing risk factor for cancer mortality worldwide. However, the dose‒response relationship between glucose levels and all-cause mortality in cancer survivors is still uncertain.

METHODS

We enrolled 4,491 cancer survivors (weighted population 19,465,739) from the 1999-2019 National Health and Nutrition Examination Survey (NHANES). Cancer survivors were defined based on the question of whether they had ever been diagnosed with cancer by a doctor or a health professional. Hemoglobin A1c (HbA1c) was selected in this study as a stable marker of glucose level. Mortality was ascertained by linkage to National Death Index records until December 31, 2019. Cox proportional hazard, Kaplan‒Meier survival curves and Restricted cubic spline regression models were used to evaluate the associations between HbA1c and all-cause mortality risk in cancer survivors.

RESULTS

In NHANES, after adjusting for confounders, HbA1c had an independent nonlinear association with increased all-cause mortality in cancer survivors (nonlinear P value < 0.05). The threshold value for HbA1c was 5.4%, and the HRs (95% CI) below and above the threshold value were 0.917 (0.856,0.983) and 1.026 (1.010,1.043), respectively. Similar associations were found between fasting glucose and all-cause mortality in cancer survivors, and the threshold value was 5.7 mmol/L.

CONCLUSIONS

HbA1c was nonlinearly associated with all-cause mortality in cancer survivors, and the critical value of HbA1c in decreased mortality was 5.4%, suggesting optimal glucose management in cancer survivors may be a key to preventing premature death in cancer survivors.

Generation Scotland: an update on Scotland's longitudinal family health study

PURPOSE

Generation Scotland (GS) is a large family-based cohort study established as a longitudinal resource for research into the genetic, lifestyle and environmental determinants of physical and mental health. It comprises extensive genetic, sociodemographic and clinical data from volunteers in Scotland.

PARTICIPANTS

A total of 24 084 adult participants, including 5501 families, were recruited between 2006 and 2011. Within the cohort, 59% (approximately 14 209) are women, with an average age at recruitment of 49 years. Participants completed a health questionnaire and attended an in-person clinic visit, where detailed baseline data were collected on lifestyle information, cognitive function, personality traits and mental and physical health. Genotype array data are available for 20 026 (83%) participants, and blood-based DNA methylation (DNAm) data for 18 869 (78%) participants. Linkage to routine National Health Service datasets has been possible for 93% (n=22 402) of the cohort, creating a longitudinal resource that includes primary care, hospital attendance, prescription and mortality records. Multimodal brain imaging is available in 1069 individuals.

FINDINGS TO DATE

GS has been widely used by researchers across the world to study the genetic and environmental basis of common complex diseases. Over 350 peer-reviewed papers have been published using GS data, contributing to research areas such as ageing, cancer, cardiovascular disease and mental health. Recontact studies have built on the GS cohort to collect additional prospective data to study chronic pain, major depressive disorder and COVID-19.

FUTURE PLANS

To create a larger, richer, longitudinal resource, 'Next Generation Scotland' launched in May 2022 to expand the existing cohort by a target of 20 000 additional volunteers, now including anyone aged 12+ years. New participants complete online consent and questionnaires and provide postal saliva samples, from which genotype and salivary DNAm array data will be generated. The latest cohort information and how to access data can be found on the GS website (www.generationscotland.org).

Optimal Glycated Hemoglobin Cutoff for Diagnosis of Diabetes and Prediabetes in Chinese Breast Cancer Women

Purpose

Glycated hemoglobin (HbA1c) is widely used in diabetes management and now recommended for diagnosis and risk assessment. Our research focused on investigating the optimal cutoff points of HbA1c for diagnosis of diabetes and prediabetes in Chinese breast cancer women, aiming to enhance early detection and tailor treatment strategies.

Patients and Methods

This study involved 309 breast cancer women without diabetes history in China. Patients were categorized into groups of newly diagnosed diabetes, prediabetes, and normal glucose tolerance using oral glucose tolerance test (OGTT) according to the 2010 ADA criteria. HbA1c data were collected from all patients. Receiver operating characteristic (ROC) curve analysis was used to assess the effectiveness of the HbA1c screening.

Results

Among the 309 breast cancer women without diabetes history, 96 (31.0%) were identified with diabetes and 130 (42.1%) had prediabetes according to OGTT, and the incidence of normal glucose tolerance was only 26.9% (83). ROC curve analysis, using OGTT as a reference, revealed that the area under the curve of 0.903 (P<0.001, 95% CI, 0.867-0.938) for HbA1c alone, indicating high accuracy. The optimal HbA1c cutoff for identifying diabetes was determined to be 6.0%, with a sensitivity of 78.1% and specificity of 86.4%. For prediabetes, the ROC curve for HbA1c alone showed that the area under the ROC curve of 0.703 (P<0.001, 95% CI, 0.632-0.774), with an optimal cutoff of 5.5% (sensitivity of 76.9% and specificity of 51.8%).

Conclusion

The prevalence of undiagnosed diabetes is very high in breast cancer women without diabetes history in China. The optimal cutoff points of HbA1c for identifying diabetes and prediabetes are 6.0% and 5.5% in Chinese breast cancer women, respectively.

The Severity of Periodontitis in Elderly Patients with Type 2 Diabetes Mellitus: A Community-Based Study

Objective Indonesia is one of the top five countries with the highest prevalence of diabetes mellitus (DM). There were 18 million DM patients in 2020, and this number has doubled in has doubled in 2022. The main complication of DM in the oral cavity is periodontitis. Periodontitis and DM have a bidirectional relationship. Controlling the severity of both diseases can improve the quality of life of DM patients. The aim of this study is to determine the severity of periodontitis in older people with type 2 DM.

Material and Methods This research is observational with a cross-sectional design. The research subjects were 263 patients aged ≥ 60 years, taken using a purposive sampling technique. The diagnosis and severity of periodontitis were based on the European Federation of Periodontology (EFP) and the American Academy of Periodontology (AAP) with the Centers for Disease Control and Prevention (CDC), using the clinical attachment loss (CAL) and probing depth (PD) clinical parameters. The diagnosis of DM was established by measuring HbA1c. Descriptive statistics was used to describe the distribution of severity of periodontitis.

Results In total, 42 people (16%) in this study did not experience periodontitis, and 221 people (84%) experienced periodontitis with 4.5% of the study population suffering from mild periodontitis, 21.3% moderate periodontitis, and 74.2% severe periodontitis. The results of this study indicated that severe periodontitis was the most common category in patients with type 2 DM. Severe periodontitis is the most common type of periodontitis at all levels of age, occupation, and education. It was found most commonly among those aged 60 to 65 years, housewives, and those with elementary education level with moderate or poor oral hygiene.

Conclusion Almost all respondents who suffered from type 2 DM experienced periodontitis, severe periodontitis being most common category at all age levels, occupations, education, and oral hygiene status. The severity of periodontitis in this study tended to be due to high HbA1c levels.

HIV and type 2 diabetes: An evolving story

INTRODUCTION

Diabetes is widely reported to be more common in people living with HIV (PLWH). Much of the data supporting this originated during the earlier HIV era. The perceived increased risk of type 2 diabetes is reflected in HIV clinical guidelines that recommend screening for diabetes in PLWH on anti-retroviral therapy (ART). However, international HIV clinical guidelines do not agree on the best marker of glycaemia to screen for diabetes. This stems from studies that suggest HbA1c underestimates glycaemia in PLWH.

METHODS

Within this review we summarise the literature surrounding the association of HIV and type 2 diabetes and how this has changed over time. We also present the evidence on HbA1c discrepancy in PLWH.

CONCLUSION

We suggest there is no basis to any international guidelines to restrict HbA1c based on HIV serostatus. We recommend, using the current evidence, that PLWH should be screened annually for diabetes in keeping with country specific guidance. Finally, we suggest future work to elucidate phenotype and natural history of type 2 diabetes in PLWH across all populations.

Incidence of T2DM and the role of baseline glycaemic status as a determinant in a metropolitan population in northern Madrid (Spain)

AIM

To estimate the incidence of T2DM and assess the effect of pre-T2DM (isolated impaired fasting glucose [iIFG], isolated impaired glucose tolerance [iIGT] or both) on progress to T2DM in the adult population of Madrid.

METHODS

Population-based cohort comprising 1,219 participants (560 normoglycaemic and 659 preT2DM [418 iIFG, 70 iIGT or 171 IFG-IGT]). T2DM was defined based on fasting plasma glucose or HbA1c or use of glucose-lowering medication. We used a Cox model with normoglycaemia as reference category.

RESULTS

During 7.26 years of follow-up, the unadjusted incidence of T2DM was 11.21 per 1000 person-years (95 %CI, 9.09-13.68) for the whole population, 5.60 (3.55-8.41) for normoglycaemic participants and 16.28 (12.78-20.43) for pre-T2DM participants. After controlling for potential confounding factors, the baseline glycaemic status was associated with higher primary effect on developing T2DM was iIGT (HR = 3.96 [95 %CI, 1.93-8.10]) and IFG-IGT (3.42 [1.92-6.08]). The HR for iIFG was 1.67 (0.96-2.90). Obesity, as secondary effect, was strongly significantly associated (HR = 2.50 [1.30-4.86]).

CONCLUSIONS

Our incidence of T2DM is consistent with that reported elsewhere in Spain. While baseline iIGT and IFG-IGT behaved a primary effect for progression to T2DM, iIFG showed a trend in this direction.

Glucose control and outcomes in diabetic and nondiabetic patients treated with targeted temperature management after cardiac arrest

Hyperglycemia is commonly observed in critically ill patients and postcardiac arrest patients, with higher glucose levels and variability associated with poorer outcomes. In this study, we aim to compare glucose control in diabetic and nondiabetic patients using glycated hemoglobin (HbA1c) levels, providing insights for better glucose management strategies. This retrospective observational study was conducted at Seoul St. Mary's Hospital from February 2009 to May 2022. Blood glucose levels were measured hourly for 48 h after return of spontaneous circulation (ROSC), and a glucose management protocol was followed to maintain arterial blood glucose levels between 140 and 180 mg/dL using short-acting insulin infusion. Patients were categorized into four groups based on diabetes status and glycemic control. The primary outcomes assessed were neurological outcome and mortality at 6 months after cardiac arrest. Among the 332 included patients, 83 (25.0%) had a previous diabetes diagnosis, and 114 (34.3%) had an HbA1c of 6.0% or higher. At least one hyperglycemic episode was observed in 314 patients (94.6%) and hypoglycemia was found in 63 patients (19.0%) during 48 h. After the categorization, unrecognized diabetes was noticed in 51 patients with median HbA1c of 6.3% (interquartile range [IQR] 6.1-6.6). Patients with inadequate diabetes control had the highest initial HbA1c level (7.0%, IQR 6.5-7.8) and admission glucose (314 mg/dL, IQR 257-424). Median time to target glucose in controlled diabetes was significantly shorter with the slowest glucose reducing rate. The total insulin dose required to reach the target glucose level and cumulative insulin requirement during 48 h were different among the categories (p <0.001). Poor neurological outcomes and mortality were more frequently observed in patients with diagnosed diabetes. Occurrence of a hypoglycemic episode during the 48 h after ROSC was independently associated with poor neurologic outcomes (odds ratio [OR] 3.505; 95% confidence interval [CI], 2.382-9.663). Surviving patients following cardiac arrest exhibited variations in glucose hemodynamics and outcomes according to the categories based on their preexisting diabetes status and glycemic condition. Specifically, even experiencing a single episode of hypoglycemia during the acute phase could have an influence on unfavorable neurological outcomes. While the classification did not directly affect neurological outcomes, the present results indicate the need for a customized approach to glucose control based on these categories.

Association between Dyslipidemia and Glycated Hemoglobin in a Population-Based Study

Diabetes mellitus and dyslipidemia are well-known risk factors for cardiovascular disease. Unfortunately, the prevalence of dyslipidemia and diabetes mellitus among individuals over 30 years of age in Korea has continuously increased. The current study therefore investigated the association between dyslipidemia and high glycated hemoglobin (Hemoglobin A1c, HbA1c) levels according to age group in adults over 20 years old. We used data from the 7th Korea National Health and Nutrition Examination Survey conducted by the Korea Centers for Disease Control and Prevention from 2016 to 2017. Glycated hemoglobin, a well-established marker for elevated glucose levels, was categorized into three groups, normal (<5.7%), prediabetes (5.7-6.4%), and diabetes (≥6.5%). The presence of dyslipidemia was defined based on a diagnosis of dyslipidemia by a physician. Logistic regression analyses were performed to evaluate the association between the prevalence of dyslipidemia and glycated hemoglobin according to age group. After adjusting for possible confounders, including age, sex, body mass index, marital status, education, occupation, household income, drinking, and smoking, we found a significant increase in the odds ratios (ORs) for dyslipidemia in the prediabetes (OR; 1.915, 95% CI; 1.696 to 2.163) and diabetes (OR; 3.533, 95% CI; 3.019 to 4.134) groups. Among subjects with higher glycated hemoglobin levels, those in their 40s or over had significantly increased odds for dyslipidemia. The current study found an association between high glycated hemoglobin levels and a diagnosis of dyslipidemia among Korean adults. Markers of lipid metabolism in adults with high glycated hemoglobin levels may need to be monitored, especially those in their 40s and older.

Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c

Fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are both used to diagnose diabetes, but these measurements can identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening, had elevated FPG, HbA1c or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardized proportion of diabetes that was previously undiagnosed and detected in survey screening ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the age-standardized proportion who had elevated levels of both FPG and HbA1c was 29-39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c was more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global shortfall in diabetes diagnosis and surveillance.

Can earlier biomarker measurements explain a treatment effect on diabetes incidence? A robust comparison of five surrogate markers

INTRODUCTION

We measured and compared five individual surrogate markers-change from baseline to 1 year after randomization in hemoglobin A1c (HbA1c), fasting glucose, 2-hour postchallenge glucose, triglyceride-glucose index (TyG) index, and homeostatic model assessment of insulin resistance (HOMA-IR)-in terms of their ability to explain a treatment effect on reducing the risk of type 2 diabetes mellitus at 2, 3, and 4 years after treatment initiation.

RESEARCH DESIGN AND METHODS

Study participants were from the Diabetes Prevention Program study, randomly assigned to either a lifestyle intervention (n=1023) or placebo (n=1030). The surrogate markers were measured at baseline and 1 year, and diabetes incidence was examined at 2, 3, and 4 years postrandomization. Surrogacy was evaluated using a robust model-free estimate of the proportion of treatment effect explained (PTE) by the surrogate marker.

RESULTS

Across all time points, change in fasting glucose and HOMA-IR explained higher proportions of the treatment effect than 2-hour glucose, TyG index, or HbA1c. For example, at 2 years, glucose explained the highest (80.1%) proportion of the treatment effect, followed by HOMA-IR (77.7%), 2-hour glucose (76.2%), and HbA1c (74.6%); the TyG index explained the smallest (70.3%) proportion.

CONCLUSIONS

These data suggest that, of the five examined surrogate markers, glucose and HOMA-IR were the superior surrogate markers in terms of PTE, compared with 2-hour glucose, HbA1c, and TyG index.

Higher risk of adverse cardiovascular outcomes in females with type 2 diabetes Mellitus: an Umbrella review of systematic reviews

BACKGROUND

Previous studies have shown that females with type 2 diabetes mellitus (T2DM) may have excess mortality risk compared to their male counterparts. An important next step to address the high global burden of T2DM and cardiovascular disease (CVD) is an umbrella review to summarize data on sex differences in cardiovascular outcomes for patients with T2DM and assess the strength of the evidence observed.

METHODS AND RESULTS

Medline and Embase were searched from inception till 7 August 2022 for systematic reviews and meta-analyses studying the effects of sex on cardiovascular outcomes in T2DM patients. Results from reviews were synthesized with a narrative synthesis, with a tabular presentation of findings and forest plots for reviews that performed a meta-analysis. 27 review articles evaluating sex differences in cardiovascular outcomes were included. Females with T2DM had a higher risk of developing coronary heart disease (CHD; RRR: 1.52, 95%CI: 1.32-1.76, P < 0.001), acute coronary syndrome (ACS; RRR: 1.38, 95%CI: 1.25-1.52, P < 0.001), heart failure (RRR: 1.09, 95%CI: 1.05-1.13, P < 0.001) than males. Females had a higher risk of all-cause mortality (RRR: 1.13, 95%CI: 1.07-1.19, P < 0.001), cardiac mortality (RRR: 1.49, 95%CI: 1.11-2.00, P = 0.009) and CHD mortality (RRR: 1.44, 95%CI: 1.20-1.73, P < 0.001) as compared to males.

CONCLUSIONS

This umbrella review demonstrates that females with T2DM have a higher risk of cardiovascular outcomes than their male counterparts. Future research should address the basis of this heterogeneity and epidemiological factors for better quality of evidence, and identify actionable interventions that will narrow these sex disparities.

iPADD: A Computational Tool for Predicting Potential Antidiabetic Drugs Using Machine Learning Algorithms

Diabetes mellitus is a chronic metabolic disease, which causes an imbalance in blood glucose homeostasis and further leads to severe complications. With the increasing population of diabetes, there is an urgent need to develop drugs to treat diabetes. The development of artificial intelligence provides a powerful tool for accelerating the discovery of antidiabetic drugs. This work aims to establish a predictor called iPADD for discovering potential antidiabetic drugs. In the predictor, we used four kinds of molecular fingerprints and their combinations to encode the drugs and then adopted minimum-redundancy-maximum-relevance (mRMR) combined with an incremental feature selection strategy to screen optimal features. Based on the optimal feature subset, eight machine learning algorithms were applied to train models by using 5-fold cross-validation. The best model could produce an accuracy (Acc) of 0.983 with the area under the receiver operating characteristic curve (auROC) value of 0.989 on an independent test set. To further validate the performance of iPADD, we selected 65 natural products for case analysis, including 13 natural products in clinical trials as positive samples and 52 natural products as negative samples. Except for abscisic acid, our model can give correct prediction results. Molecular docking illustrated that quercetin and resveratrol stably bound with the diabetes target NR1I2. These results are consistent with the model prediction results of iPADD, indicating that the machine learning model has a strong generalization ability. The source code of iPADD is available at https://github.com/llllxw/iPADD.

Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention

Multiomic profiling can reveal population heterogeneity for both health and disease states. Obesity drives a myriad of metabolic perturbations and is a risk factor for multiple chronic diseases. Here we report an atlas of cross-sectional and longitudinal changes in 1,111 blood analytes associated with variation in body mass index (BMI), as well as multiomic associations with host polygenic risk scores and gut microbiome composition, from a cohort of 1,277 individuals enrolled in a wellness program (Arivale). Machine learning model predictions of BMI from blood multiomics captured heterogeneous phenotypic states of host metabolism and gut microbiome composition better than BMI, which was also validated in an external cohort (TwinsUK). Moreover, longitudinal analyses identified variable BMI trajectories for different omics measures in response to a healthy lifestyle intervention; metabolomics-inferred BMI decreased to a greater extent than actual BMI, whereas proteomics-inferred BMI exhibited greater resistance to change. Our analyses further identified blood analyte-analyte associations that were modified by metabolomics-inferred BMI and partially reversed in individuals with metabolic obesity during the intervention. Taken together, our findings provide a blood atlas of the molecular perturbations associated with changes in obesity status, serving as a resource to quantify metabolic health for predictive and preventive medicine.

The Importance of Prediabetes Screening in the Prevention of Cardiovascular Disease

Background

Prediabetes is a disordered state of glucose metabolism defined by an elevated blood glucose level that is below the level required for the diagnosis of diabetes. Prediabetes is associated with an increased risk of cardiovascular disease. The onset and progression of macrovascular disease occur during the prediabetes phase. Early diagnosis and screening of prediabetes are essential steps to prevent diabetes and its associated complications.

Objective

To assess the prevalence of prediabetes and undiagnosed diabetes in patients with cardiovascular disease according to the ADA criteria.

Methods

This cross-sectional study included 2968 a high cardiovascular risk patients aged 40 to 75 years admitted to the Department of Internal Medicine. Sociodemographic variables and other relevant medical history information were collected by the researchers during the clinical interview. A fasting blood sample was obtained to determine HbA1c levels and other relevant laboratory findings.

Results

Of the total number of participants, 1496 participants were not diagnosed with diabetes, 485 (32.4%) of them had HbA1c values indicating prediabetes and 158 (10.6%) of them had HbA1c values indicating new diagnosed diabetes. Up to one-third of those with undiagnosed prediabetes had already been diagnosed with cardiovascular complications.

Conclusion

Routine screening of glycemic metabolism could be valuable in identifying high-risk individuals before a cardiovascular event occurs.

Replication and mediation of the association between the metabolome and clinical markers of metabolic health in an adolescent cohort study

Metabolomics-derived metabolites (henceforth metabolites) may mediate the relationship between modifiable risk factors and clinical biomarkers of metabolic health (henceforth clinical biomarkers). We set out to study the associations of metabolites with clinical biomarkers and a potential mediation effect in a population of young adults. First, we conducted a systematic literature review searching for metabolites associated with 11 clinical biomarkers (inflammation markers, glucose, blood pressure or blood lipids). Second, we replicated the identified associations in a study population of n = 218 (88 males and 130 females, average age of 18 years) participants of the DONALD Study. Sex-stratified linear regression models adjusted for age and BMI and corrected for multiple testing were calculated. Third, we investigated our previously reported metabolites associated with anthropometric and dietary factors mediators in sex-stratified causal mediation analysis. For all steps, both urine and blood metabolites were considered. We found 41 metabolites in the literature associated with clinical biomarkers meeting our inclusion criteria. We were able to replicate an inverse association of betaine with CRP in women, between body mass index and C-reactive protein (CRP) and between body fat and leptin. There was no evidence of mediation by lifestyle-related metabolites after correction for multiple testing. We were only able to partially replicate previous findings in our age group and did not find evidence of mediation. The complex interactions between lifestyle factors, the metabolome, and clinical biomarkers warrant further investigation.

Prediction of type 2 diabetes mellitus using hematological factors based on machine learning approaches: a cohort study analysis

Type 2 Diabetes Mellitus (T2DM) is a significant public health problem globally. The diagnosis and management of diabetes are critical to reduce the diabetes complications including cardiovascular disease and cancer. This study was designed to assess the potential association between T2DM and routinely measured hematological parameters. This study was a subsample of 9000 adults aged 35-65 years recruited as part of Mashhad stroke and heart atherosclerotic disorder (MASHAD) cohort study. Machine learning techniques including logistic regression (LR), decision tree (DT) and bootstrap forest (BF) algorithms were applied to analyze data. All data analyses were performed using SPSS version 22 and SAS JMP Pro version 13 at a significant level of 0.05. Based on the performance indices, the BF model gave high accuracy, precision, specificity, and AUC. Previous studies suggested the positive relationship of triglyceride-glucose (TyG) index with T2DM, so we considered the association of TyG index with hematological factors. We found this association was aligned with their results regarding T2DM, except MCHC. The most effective factors in the BF model were age and WBC (white blood cell). The BF model represented a better performance to predict T2DM. Our model provides valuable information to predict T2DM like age and WBC.

Identification of DNA methylation of CAPN10 gene changes in the patients with type 2 diabetes mellitus as a predictive biomarker instead of HbA1c, random blood sugar, lipid profile, kidney function test, and some risk factors

Objective. Nowadays, type 2 diabetes mellitus (T2DM) is the most common chronic endocrine disorder, affecting an estimated 5-10% of adults worldwide and this disease rapidly increases in the Kurdistan region population. This research aims to identify DNA methylation change in the CPAN10 gene as a predictive biomarker in T2DM and the association between DNA methylation status with lipid profile and kidney function test. Methods. The participants (113) were divided into three groups: diabetes group (47), prediabetes group (36), and control group (30). The study was carried out on patients who visited the private clinical sectors between August and December 2021 in the Koya city Kurdistan region of Iraq. To determine DNA methylation status, methylation-specific PCR (MPS) with paired primer for each methylated and unmethylated region was used. The Mann-Whitney U test and Spearman's correlation were performed for statistical analysis of data and a value of p<0.05 was considered significant. Results. The obtained results show that DNA hypermethylation was recorded in the promoter region in the samples of the diabetes and prediabetes groups compared to the healthy group (control). Various factors also affected the level of DNA methylation, such as HbA1c in prediabetes group and body mass index in the control group. Conclusion. These results indicate that DNA methylation changes in the CAPN10 gene promoter region may be used as a potential predictive biomarker to diagnose T2DM; however, this study requires further data to support this evidence.

Impact of haemoglobin variants on the use of haemoglobin A1c for the diagnosis and monitoring of diabetes: a contextualised review

HbA1c is the established test for monitoring glycaemic control in diabetes, and intervention trials studying the impact of treatment on glycaemic control and risk of complications focus predominantly on this parameter in terms of evaluating the glycaemic outcomes. It is also the main parameter used when targets for control are being individualised, and more recently, it has been used for the diagnosis of type 2 diabetes. For laboratories performing this test and clinicians utilising it in their decision-making process, a thorough understanding of factors that can impact on the accuracy, and appropriate interpretation of the test is essential. The changing demographic in the Irish population over the last two decades has brought this issue sharply into focus. It is therefore timely to review the utility, performance and interpretation of the HbA1c test to highlight factors impacting on the results, specifically the impact of haemoglobin variants, and the impact of these factors on its utilisation in clinical practice.

Performance of a Finnish Diabetes Risk Score in detecting undiagnosed diabetes among Kenyans aged 18-69 years

BACKGROUND

The application of risk scores has often effectively predicted undiagnosed type 2 diabetes in a non-invasive way to guide early clinical management. The capacity for diagnosing diabetes in developing countries including Kenya is limited. Screening tools to identify those at risk and thus target the use of limited resources could be helpful, but these are not validated for use in these settings. We, therefore, aimed to measure the performance of the Finnish diabetes risk score (FINDRISC) as a screening tool to detect undiagnosed diabetes among Kenyan adults.

METHODS

A nationwide cross-sectional survey on non-communicable disease risk factors was conducted among Kenyan adults between April and June 2015. Diabetes mellitus was defined as fasting capillary whole blood ≥ 7.0mmol/l. The performance of the original, modified, and simplified FINDRISC tools in predicting undiagnosed diabetes was assessed using the area under the receiver operating curve (AU-ROC). Non-parametric analyses of the AU-ROC, Sensitivity (Se), and Specificity (Sp) of FINDRISC tools were determined.

RESULTS

A total of 4,027 data observations of individuals aged 18-69 years were analyzed. The proportion/prevalence of undiagnosed diabetes and prediabetes was 1.8% [1.3-2.6], and 2.6% [1.9-3.4] respectively. The AU-ROC of the modified FINDRISC and simplified FINDRISC in detecting undiagnosed diabetes were 0.7481 and 0.7486 respectively, with no statistically significant difference (p = 0.912). With an optimal cut-off ≥ 7, the simplified FINDRISC had a higher positive predictive value (PPV) (7.9%) and diagnostic odds (OR:6.65, 95%CI: 4.43-9.96) of detecting undiagnosed diabetes than the modified FINDRISC.

CONCLUSION

The simple, non-invasive modified, and simplified FINDRISC tools performed well in detecting undiagnosed diabetes and may be useful in the Kenyan population and other similar population settings. For resource-constrained settings like the Kenyan settings, the simplified FINDRISC is preferred.

Effect of 4-Week Consumption of Soy Kori-tofu on Cardiometabolic Health Markers: A Double-Blind Randomized Controlled Cross-Over Trial in Adults with Mildly Elevated Cholesterol Levels

Kori-tofu is a frozen soy tofu, and soy consumption is associated with positive effects on cardiometabolic health markers. We aimed to assess the potential of Kori-tofu to improve cardiometabolic health outcomes in humans by repetitive daily consumption. In a double-blind randomized controlled cross-over trial, 45 subjects aged 40-70 years with (mildly) elevated cholesterol levels, received a four week Kori-tofu intervention or whey protein control intervention with a four week wash-out period in between. Cardiometabolic biomarkers were measured before and after both interventions. A significant decrease in total, low-density lipids (LDL), and high-density lipids (HDL) cholesterol, Hemoglobin A1c (HbA1c), fructosamine and systolic blood pressure was observed within the Kori-tofu intervention. However, many of these findings were also observed in the control intervention. Only adiponectin changes were different between treatments but did not change significantly within interventions. Improvements in cardiometabolic markers within the Kori-tofu intervention point toward potential beneficial health effects. Due to the lack of significant effects as compared to control, there is, however, currently no substantiating evidence to claim that Kori-tofu has beneficial effects on cardiometabolic health.

Assessment of cognitive function in young children with type 1 diabetes mellitus using electrophysiological tests

BACKGROUND/OBJECTIVES

Diabetes mellitus is a chronic disease that affects many body systems, including the nervous and auditory systems. It is noted that there is a scarcity of research on the effect of diabetes on cognitive functions in particular and auditory functions in general in children with type 1 diabetes. Therefore, this study was designed to assess cognitive and auditory functions in children with type 1 diabetes mellitus and to correlate the reflection of diabetes control on cognitive functions.

METHODS

This study is a case-control study that included 100 children divided into two groups, the patient group, which includes 50 children with type 1 diabetes, and the control group, which consists of 50 healthy children. Subjects in the current study were submitted to pure tone audiometry, speech recognition threshold test, immittancemetry study, and measurement of cortical auditory evoked and P300 potentials (CAEPs and P300). These audiometric measures were statistically analyzed and correlated with the clinical characteristics of the study group.

RESULTS

The latency of P300 and CAEPs was significantly increased while the amplitude of P300 and CAEPs was significantly decreased in the patient group compared to the control group (p < 0.001). P300 and CAEPs latency has a positive correlation with HbA1c levels (r = 0.460). In addition, there was significant differences between the two groups regarding the hearing threshold at 8000 Hz, and 28% of patients had bilateral sensorineural hearing loss (SNHL) at 8 kHz.

CONCLUSION

The prolonged P300 and CAEPs latency and decreased amplitude in patients indicate a cognitive decline in individuals with type 1 diabetes compared to healthy individuals. HbA1c levels may increase the risk of cognitive impairment in children. In addition, the risk of bilateral SNHL increased at 8 kHz in children with type 1 diabetes mellitus.

Mendelian randomization accounting for complex correlated horizontal pleiotropy while elucidating shared genetic etiology

Mendelian randomization (MR) harnesses genetic variants as instrumental variables (IVs) to study the causal effect of exposure on outcome using summary statistics from genome-wide association studies. Classic MR assumptions are violated when IVs are associated with unmeasured confounders, i.e., when correlated horizontal pleiotropy (CHP) arises. Such confounders could be a shared gene or inter-connected pathways underlying exposure and outcome. We propose MR-CUE (MR with Correlated horizontal pleiotropy Unraveling shared Etiology and confounding), for estimating causal effect while identifying IVs with CHP and accounting for estimation uncertainty. For those IVs, we map their cis-associated genes and enriched pathways to inform shared genetic etiology underlying exposure and outcome. We apply MR-CUE to study the effects of interleukin 6 on multiple traits/diseases and identify several S100 genes involved in shared genetic etiology. We assess the effects of multiple exposures on type 2 diabetes across European and East Asian populations.

Effect of Allium sativum and Olea europaea on serum lipids in patients with diabetes mellitus

Objective

This study was designed to assess the effects of a combination of Allium sativum and Olea europaea oil on disturbed lipid profiles in patients with type 2 diabetes mellitus (T2DM).

Methods

This randomized control trial (RCT) involved 160 patients of either sex (aged 40-60 years) with T2DM and dyslipidemia, and were equally divided into two groups. Group A patients received hypoglycemic and lipid lowering agents (Tab glimepiride 2 mg + metformin HCl 500 mg and Tab rosuvastatin 10 mg once a day orally). Patients in group B were given the same allopathic drugs as group A, in combination with A. sativum and O. europaea oil over a period of 6 months. Blood samples were taken at three stages of the study to allow the analysis of lipid profiles.

Results

Analysis showed that after 3 and 6 months of treatment, the mean levels of serum cholesterol, triglycerides (TGs) and low-density lipoprotein (LDL) were reduced in both groups and that there was a highly significant (P < 0.001) decline in group B when compared to group A. High-density lipoprotein (HDL) levels increased in both groups but there was a significant (P < 0.05) increase in the group B when compared to group A. The percentage reduction was highest at 6 months of treatment for cholesterol, TGs, LDL and HDL in group B (41.5%, 45.9%, 60.4% and 58.1%, respectively).

Conclusion

The antihyperlipidemic activity observed may be due to the presence of antioxidants in the test substances. Further studies should be conducted with a larger sample size in order to further evaluate the role of A. sativum powder and O. europaea oil in patients with T2DM with dyslipidemia.

Tungsten Disulfide Decorated Screen-Printed Electrodes for Sensing of Glycated Hemoglobin

Diabetes is a global menace, and its severity results in various disorders including cardiovascular, retinopathy, neuropathy, and nephropathy. Recently, diabetic conditions are diagnosed through the level of glycated hemoglobin. The level of glycated hemoglobin is determined with enzymatic methodology. Although the system is sensitive, it has various restrictions such as long processing times, expensive equipment required for testing, and complex steps involved in sample preparation. These limitations are a hindrance to faster results. The limitations of the developed methods can be eliminated through biosensors. In this work, an electrochemical platform was fabricated that facilitates the identification of glycated hemoglobin protein in diabetic patients. The working electrode on the integrated circuit was modified with molecularly imprinted polymer decorated with tungsten disulfide nanoparticles to enhance its analytical properties. The analytical properties of the biosensor were studied using electrochemical techniques. The obtained detection limit of the nanoelectronic sensor was 0.01 pM. The calculated sensitivity of the biosensor was observed to be 0.27 μA/pM. Also, the sensor promises to operate in a dynamic working concentration range and provide instant results.

Antidepressant use and risk of adverse outcomes: population-based cohort study

BACKGROUND

Antidepressants are one of the most widely prescribed drugs in the global north. However, little is known about the health consequences of long-term treatment.

AIMS

This study aimed to investigate the association between antidepressant use and adverse events.

METHOD

The study cohort consisted of UK Biobank participants whose data was linked to primary care records (N = 222 121). We assessed the association between antidepressant use by drug class (selective serotonin reuptake inhibitors (SSRIs) and 'other') and four morbidity (diabetes, hypertension, coronary heart disease (CHD), cerebrovascular disease (CV)) and two mortality (cardiovascular disease (CVD) and all-cause) outcomes, using Cox's proportional hazards model at 5- and 10-year follow-up.

RESULTS

SSRI treatment was associated with decreased risk of diabetes at 5 years (hazard ratio 0.64, 95% CI 0.49-0.83) and 10 years (hazard ratio 0.68, 95% CI 0.53-0.87), and hypertension at 10 years (hazard ratio 0.77, 95% CI 0.66-0.89). At 10-year follow-up, SSRI treatment was associated with increased risks of CV (hazard ratio 1.34, 95% CI 1.02-1.77), CVD mortality (hazard ratio 1.87, 95% CI 1.38-2.53) and all-cause mortality (hazard ratio 1.73, 95% CI 1.48-2.03), and 'other' class treatment was associated with increased risk of CHD (hazard ratio 1.99, 95% CI 1.31-3.01), CVD (hazard ratio 1.86, 95% CI 1.10-3.15) and all-cause mortality (hazard ratio 2.20, 95% CI 1.71-2.84).

CONCLUSIONS

Our findings indicate an association between long-term antidepressant usage and elevated risks of CHD, CVD mortality and all-cause mortality. Further research is needed to assess whether the observed associations are causal, and elucidate the underlying mechanisms.

Sudden Death in Diabetic Ketoacidosis Complicated by Sickle Cell Trait

ABSTRACT

In a sudden death investigation of a service member with sickle cell trait (SCT), evidence of sickle cell crisis further complicated by coexisting, undiagnosed diabetic ketoacidosis called into question the synergistic effects of diabetic ketoacidosis on red blood cell sickling. Sickle cell trait affects more than 4 million people in the United States (US) with the highest prevalence in non-Hispanic Blacks (7%-9%; Mil Med 2017;182(3):e1819-e1824). The heterozygous state of sickled hemoglobin was previously considered a benign condition causing sickling during hypoxic, high-stress conditions such as exercise and high altitude ( Am Assoc Clin Chem 2017). However, research within the last decade shows evidence of sudden death among SCT patients ( J Forensic Sci 2011;56(5):1352-1360). It has been shown that the presence of sickled hemoglobin artificially lowers levels of hemoglobin A1c making it a less effective biomarker for red blood cell glycosylation over time in sickle cell patients ( JAMA 2017;317(5):507-515). The limited scope of medical understanding of the effects of SCT in combination with other comorbidities requires further investigation and better diagnostic criteria. The uniqueness of the US Military and its screening program for sickle cell disease (SCD) and SCT allows for more detection. Since May 2006, newborn screening for SCD/SCT has been a national requirement; however, anyone older than 14 years may not know their SCD/SCT status ( Semin Perinatol 2010;34(2):134-44). The previous absence of such national screening makes it more challenging to identify SCT and SCD patients even within high-risk populations. Furthermore, patients may not know or understand the results of their SCD/SCT status testing. International standards for the autopsy of decedents with SCD and SCT exist ( R Coll Pathol 2017). Within the US, testing of vitreous electrolytes is a common practice in suspected natural death cases, but a review of the US literature did not demonstrate any autopsy standards or recommendations for persons with SCT or high-risk persons for sickling pathologies. The identification of a new diagnosis of type 2 diabetes mellitus, as the cause of death, is not uncommon; however, this case indicates that type 2 diabetes mellitus was not the sole contributing factor. It further illustrates that the US may be underestimating the impact of SCD and SCT as a cause of death, a contributing factor to death, and its synergistic effects with other pathologic processes. We propose a stringent literature review in conjunction with a review of international autopsy standards to develop national autopsy standards and possible SCT/SCD screening recommendations for high-risk persons at the time of autopsy.

Glycated haemoglobin and fasting plasma glucose tests in the screening of outpatients for diabetes and abnormal glucose regulation in Uganda: A diagnostic accuracy study

BACKGROUND AND OBJECTIVES

To understand the utility of glycated haemoglobin (HBA1C) in screening for diabetes and Abnormal Glucose Regulation (AGR) in primary care, we compared its performance to that of the fasting plasma glucose (FPG) test.

METHODS

This was a prospective diagnostic accuracy study conducted in eastern Uganda. Patients eligible for inclusion were consecutive adults, 30-75 years, receiving care at the outpatient department of a general hospital in eastern Uganda. We determined the sensitivity, specificity and optimum cut-off points for HBA1C and FPG tests using the oral glucose tolerance test (OGTT) as a clinical reference standard.

RESULTS

A total of 1659 participants underwent FPG testing of whom 310 were also HBA1C and OGTT tested. A total of 113 tested positive for diabetes and 168 for AGR on the OGTT. At recommended cut-off points for diabetes, the HBA1C and FPG tests had comparable sensitivity [69.8% (95% CI 46.3-86.1) versus 62.6% (95% CI 41.5-79.8), respectively] and specificity [98.6% (95% CI 95.4-99.6) versus 99.4% (95% CI 98.9-99.7), respectively]. Similarly, the sensitivity of HBA1C and the FPG tests for Abnormal Glucose Regulation (AGR) at ADA cut-offs were comparable [58.9% (95% CI 46.7-70.2) vs 47.7% (95% CI 37.3-58.4), respectively]; however, the HBA1C test had lower specificity [70.7% (95% CI 65.1-75.8)] than the FPG test [93.5% (95% CI 88.6-96.4)]. At the optimum cut-offs points for diabetes [45.0 mmol/mol (6.3%) for HBA1C and 6.4 mmol/L (115.2 mg/dl) for FPG], HBA1C and FPG sensitivity [71.2% (95% CI 46.9-87.8) versus 72.7% (95% CI 49.5-87.8), respectively] and specificity [95.1% (95% CI91.8 97.2) versus 98.7% (95% CI 98.0 99.2), respectively] were comparable. Similarly, at the optimum cut-off points for AGR [42.0 mmol/mol (6.0%) for the HBA1C and 5.5 mmol/l (99.0 mg/dl) for the FPG test], HBA1C and FPG sensitivity [42.3% (95% CI 31.8-53.6) and 53.2 (95% CI 43.1-63.1), respectively] and specificity [89.1% (95% CI 84.1 92.7) and 92.7% (95% CI 91.0 94.1), respectively] were comparable.

DISCUSSION

HBA1C is a viable alternative diabetes screening and confirmatory test to the FPG test; however, the utility of both tests in screening for prediabetes in this outpatient population is limited.

Psychological Well-Being in Childhood and Cardiometabolic Risk in Middle Adulthood: Findings From the 1958 British Birth Cohort

Childhood adversity is linked to poor cardiometabolic outcomes, but less is known about positive childhood factors. Using data from 4,007 members of the 1958 British Birth Cohort, we investigated whether children with greater psychological well-being had lower adulthood cardiometabolic risk. At age 11, participants wrote essays about their future. Two judges rated each essay for nine psychological well-being items (Finn's r = .82-.91), which were combined into a standardized overall score (Cronbach's α = .91). When participants reached age 45, nurses assessed their blood pressure, heart rate, lipids, glycosylated hemoglobin, fibrinogen, and C-reactive protein, which were standardized and summed for total cardiometabolic risk. Regressions indicated that children with greater psychological well-being had lower cardiometabolic risk (b = -0.14, 95% confidence interval [CI] = [-0.28, -0.006]): specifically, healthier total cholesterol (b = -0.04, 95% CI = [-0.07, -0.003]) and triglycerides (b = -0.06, 95% CI = [-0.09, -0.02]). Childhood psychological well-being may promote adulthood cardiometabolic health.

Factors Associated with Hemoglobin A1c Level Among Women Without Prior Diabetes Diagnosis in Rural Areas of Central South China: A Cross-Sectional Study

Background

Women in rural areas of China face the unique risk of developing diabetes, but data on the glycemic status among women without prior diabetes diagnosis in rural areas are lacking which may limit the decision-making for diabetes screening or prevention. This study was aimed to describe the glycemic status of women determined by hemoglobin A1c (HbA1c) and explore its associating factors.

Methods

A cross-sectional survey was conducted among women without prior diabetes diagnosis from two counties of rural areas in Central South China from July to October 2018. On the basis of the life course framework, data on socio-demographic, environmental health, genetic, biological (blood pressure, weight and height, lipids), psychosocial, and healthy behavioral factors were collected on site either through questionnaires or field measurements. The questionnaires included social-demographic sheet, Perceived Stress Scale, Self-efficacy scales for health-related diet and exercise behaviors, and Chinese Diabetes Risk Questionnaire. Generalized linear model analysis was performed to determine the associating factors of glycemic status, which was measured by HbA1c level.

Results

A total of 647 women were included in the study. The median age of women was 51.00 years (range 35–65 years). The median HbA1c level was 5.1% (interquartile range 4.6%-5.5%, range 4–13.6%), and 8.7% (n=56) of women were identified as elevated glycemic status (HbA1c>6%). Environmental health factors (eg, living in less-developed county [β=0.206, p=0.027]), biological factors (eg, higher body mass index [β=0.201, p=0.036], higher total cholesterol [β=0.097, p=0.040], history of gestational diabetes mellitus [β=0.722, p<0.001]), and psychosocial factors (eg, higher perceived stress [β=0.247, p=0.002]) were associated with higher HbA1c level.

Conclusion

This study reported 8.7% of elevated glycemic status among women without prior diabetes diagnosis in rural Hunan Province, China. After a comprehensive investigation based on a theoretical framework, living in a less-developed county of rural areas, having larger body mass index, higher total cholesterol, higher perceived stress, and a gestational diabetes mellitus history were identified as associating factors of higher HbA1c level. Professional support regarding weight control, blood lipid control, stress management, and the prevention of gestational diabetes mellitus should be recommended among this population, especially for women from less-developed counties.

Antidiabetic effects of Scrophularia striata ethanolic extract via suppression of Pdx1 and Ins1 expression in pancreatic tissues of diabetic rats

One of the factors that causes severe metabolic imbalance and abnormal changes in many tissues, especially in the pancreas, is the pathological disease of diabetes mellitus. Therefore, in this study, the therapeutic effects of Scrophularia striata were investigated using an animal model in the control of diabetic injury and pancreatic complications caused by diabetes. A total of 66 rats (weight 220–250 g) were randomly divided into: Healthy Control group (rats without diabetes receiving Propylene glycol as solvent); Diabetic control group; 3 experimental healthy groups (receiving the extract with doses of 100, 200 and 400 mg/kg bw/day); 3 treatment groups; and3 pretreatment groups. Diabetes was induced in rats by intraperitoneal STZ (60 mg/kg bw). FBS, HbA1c and insulin were measured after 4 weeks. Pdx1 and Ins1 gene expression was assessed by RT-PCR. The histological evaluation was also performed with H&E staining. The data were analyzed by SPSS ver20 using ANOVA and Tukey tests. By treatment with S. striata ethanolic extract, these factors were close to the normal range. The expression of the Pdx1 and Ins1 genes increased in the treated rats with S. striata extract. Analysis of the obtained data indicates the effect of S. striata in improving the complications of diabetes in rats and can be considered for therapeutic purposes.

Improving Diabetes Care: A Fijian Diabetes Service Improvement Study

Background. Achieving good outcomes in type 2 diabetes mellitus patients’ needs a decent integrated care service with access to resources. The Fiji Islands has one of the highest rates of diabetes disease burden and has available resources to alleviate the diabetic disease pandemic in its population, yet patient outcomes are getting worse. We hypothesize that a dysfunction in health-care delivery system may be accentuating the diabetic disease process; therefore, this service evaluation study was conducted to provide insight into the management of T2DM in a secondary care clinic setting. Methods. We conducted a retrospective chart review of patient records for the past three years (2015-2018). Random quota sampling was used to extract patient folders over a one-month period. A total of 113 patient charts were analyzed which met the inclusion criteria. Results. The overall glycemic levels were uncontrolled in every seven out of ten patients. Most of the patients were on combination drug therapy and at maximum dosing ranges. HbA1c tests, as a monitoring tool, were being inadequately used. Nonadherence to management was prominent in poor controlled patients, and physicians failed to provide appropriate interventions in this group. Nearly all the patients had not received eye assessments, foot risk assessment, and individualized dietetic counselling over three years. Macrovascular complications were more common than microvascular end organ damage. Conclusion. There is a high degree of uncontrolled glycemia and comorbidities in patients attending the service of study which is being perpetuated by poor integrated diabetes care. Strengthening educational initiatives, using validated strategic tools to streamline diabetic services and astute evidence-based resource allocation and management, is needed.

Diet Quality and Health in Older Americans

Adequate nutrition is an essential component of healthy ageing. This study documents the quality of diets among older Americans and implications of healthy eating for their physical and mental health. Using a nationally representative longitudinal sample of adults aged ≥50 years, from the Health and Retirement Study (HRS) 2010−2016 and food intake data from the 2013 Health Care and Nutrition Study (HCNS), the study evaluates the onset of health problems along the spectrum of diet quality measured by the Healthy Eating Index (HEI)-2015. Older adults adhering to healthier diets, in the high HEI group, have a significantly lower risk of developing limitations in activities of daily living (15.2% vs. 19.6%, p < 0.01) and depression (11.8% vs. 14.9%, p < 0.01), as compared to participants with low HEI scores. Consuming healthier diets also predicts more favorable health outcomes, as measured by blood-based biomarkers, including C-reactive protein (3.3 vs. 3.8, p < 0.05), cystatin C (1.1 vs. 1.2, p < 0.1), total cholesterol (192.1 vs. 196.4, p < 0.1), and high-density lipoprotein (57.2 vs. 53.8, p < 0.01). Most older Americans can benefit from improving diet to reduce their risk of disability, chronic disease, and depression.

Comparison of the Finnish Diabetes Risk Score Model With the Metabolic Syndrome in a Shanghai Population

AIMS

This study aimed to compare the diagnostic accuracy of the metabolic syndrome with the Finnish Diabetes Risk Score (FINDRISC) to screen for type 2 diabetes mellitus (T2DM) in a Shanghai population.

METHODS

Participants aged 25-64 years were recruited from a Shanghai population from July 2019 to March 2020. Each participant underwent a standard metabolic work-up, including clinical examination with anthropometry. Glucose status was tested using hemoglobin A1c (HbAlc), 2h-post-load glucose (2hPG), and fasting blood glucose (FBG). The FINDRISC questionnaire and the metabolic syndrome were examined. The performance of the FINDRISC was assessed using the area under the receiver operating characteristic curve (AUC-ROC).

RESULTS

Of the 713 subjects, 9.1% were diagnosed with prediabetes, whereas 5.2% were diagnosed with T2DM. A total of 172 subjects had the metabolic syndrome. A higher FINDRISC score was positively associated with the prevalence of T2DM and the metabolic syndrome. Multivariable linear regression analysis demonstrated that the FINDRISC had a linear regression relationship with 2hPG levels (b'= 036, p < 0.0001). The AUC-ROC of the FINDRISC to identify subjects with T2DM among the total population was 0.708 (95% CI 0.639-0.776), the sensitivity was 44.6%, and the specificity was 90.1%, with 11 as the cut-off point. After adding FBG or 2hPG to the FINDRISC, the AUC-ROC among the total population significantly increased to 0.785 (95% CI 0.671-0.899) and 0.731 (95% CI 0.619-0.843), respectively, while the AUC-ROC among the female group increased to 0.858 (95% CI 0.753-0.964) and 0.823 (95% CI 0.730-0.916), respectively (p < 0.001). The AUC-ROC of the metabolic syndrome to identify subjects with T2DM among the total and female population was 0.805 (95% CI 0.767-0.844) and 0.830 (95% CI 0.788-0.872), respectively, with seven as the cut-off point.

CONCLUSIONS

The metabolic syndrome performed better than the FINDRISC model. The metabolic syndrome and the FINDRISC with FBG or 2hPG in a two-step screening model are both efficacious clinical practices for predicting T2DM in a Shanghai population.

The Effect of Time-Restricted Eating on Insulin Levels and Insulin Sensitivity in Patients with Polycystic Ovarian Syndrome: A Systematic Review

RESULTS

2662 papers were identified with 37 selected for full-text review and one paper meeting criteria for inclusion. Ramadan fasting was the only time-restricted eating regimen trialled in this population with no strong evidence of a significant effect on insulin levels.

CONCLUSION

As the systematic review retrieved only one study investigating time-restricted eating to reduce insulin in patients with PCOS, there is no evidence to suggest that this intervention is effective. From the narrative review, based on studies in other patient groups, time-restricted eating could improve insulin resistance in those with PCOS; however, well-designed studies are required before this intervention can be recommended.

The Role of Hemoglobin A1C in Diabetes Screening and Diabetic Retinopathy

Hemoglobin A1C (A1C) is used in various settings. Its performance has not been evaluated systemically. We compared A1C in diagnosis of diabetes with fasting plasma glucose (FPG) and 2-h postchallenged plasma glucose (2hPG) parameters in a cross-sectional cohort in the United Stated. Adult subjects (≥20 years) were identified from the National Health and Nutrition Examination Survey 2005-2016 without a history of diabetes who had BMI, A1C, FPG, and 2hPG (n = 10,416). For comparisons, we calculated the sample weighted prevalence, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) with subgroup analyses. For the retinopathy study, diabetic subjects with established diabetes who responded to the question of diabetic retinopathy were evaluated (n = 3907). Compared to the FPG/2hPG criteria, A1C ≥ 48 mmol/mol (6.5%) had a low sensitivity at 25.90%, with specificity 99.70%, PPV 84.70%, and NPV 95.70%. Subgroup analyses revealed a lower sensitivity in males (24.52%); the lowest in non-Hispanic White (21.35%), in the third decade (14.32%), and in the BMI < 22.50 kg/m2 group (7.21%). The prevalence of self-reported diabetic retinopathy increased drastically with an inflection point at A1C 48 mmol/mol (6.5%) from 11.52% to 18.32% (p < 0.0001). A1C ≥ 48 mmol/mol (6.5%) should be cautiously used to diagnose diabetes in certain subgroups due to very low sensitivity in certain groups. With the confirmation of the association of increasing self-reported diabetic retinopathy with A1C ≥ 48 mmol/mol (6.5%), the current A1C cutoff is an acceptable value with the understanding of especially low sensitivity in certain subgroups.

A Review of the Properties of Anthocyanins and Their Influence on Factors Affecting Cardiometabolic and Cognitive Health

The incidence of cardiovascular and metabolic diseases has increased over the last decades and is an important cause of death worldwide. An upcoming ingredient on the nutraceutical market are anthocyanins, a flavonoid subgroup, abundant mostly in berries and fruits. Epidemiological studies have suggested an association between anthocyanin intake and improved cardiovascular risk, type 2 diabetes and myocardial infarct. Clinical studies using anthocyanins have shown a significant decrease in inflammation markers and oxidative stress, a beneficial effect on vascular function and hyperlipidemia by decreasing low-density lipoprotein and increasing high-density lipoprotein. They have also shown a potential effect on glucose homeostasis and cognitive decline. This review summarizes the effects of anthocyanins in in-vitro, animal and human studies to give an overview of their application in medical prevention or as a dietary supplement.

Application of machine learning methods for the development of antidiabetic drugs

Diabetes is a chronic non-communicable disease caused by several different routes, which has attracted increasing attention. In order to speed up the development of new selective drugs, machine learning (ML) technology has been applied in the process of diabetes drug development, which opens up a new blueprint for drug design. This review provides a comprehensive portrayal of the application of ML in antidiabetic drug use.

The calculated versus the measured glycosylated haemoglobin (HbA1c ) levels in patients with type 2 diabetes mellitus

BACKGROUND

Diabetes mellitus (DM) is a chronic metabolic disorder that is increasing globally. It is associated with chronic complications that are more common among patients with poor glycaemic control. Glycosylated haemoglobin (HbA_1c ) is the gold standard for monitoring glycaemic control. Measurements of HbA_1c are relatively expensive and not available in some remote areas of developing countries.

METHODS

We conducted a cross-sectional study to evaluate the agreement between the calculated and measured HbA_1c levels. The equation to compute the calculated HbA_1c also incorporated the fasting blood glucose (FBG) level and was as follows: HbA_1c  = 2.6 + 0.03 × FBG (mg/dl).

RESULT

We enrolled 290 patients with type 2 DM in this study. Of these, 204 (70.3%) were females and the mean (SD) age was 54.9 (12.8) years. The mean (SD) diabetes duration was 6.8 (5.5) years. There were 211 (72.8%) patients using oral hypoglycaemic agents, 62 (21.4%) were using insulin and 17 (5.9%) were using both insulin and oral hypoglycaemic agents. There was a borderline difference between the mean (SD) calculated and measured HbA_1c levels (p = 0.054). There was a significant correlation between the calculated and measured HbA_1c (r = 0.595, p < 0.001). However, there was no agreement between the calculated and measured HbA_1c . The bias ±SD (limits of agreement) for calculated versus measured HbA_1c was -1.008 ± 2.02% (-5.05, 2.032).

CONCLUSION

Despite the presence of a significant correlation between the calculated and measured HbA_1c , the calculated level has shown an unacceptable agreement with the measured HbA_1c .