Screening For Type 2 Diabetes Mellitus Research Articles

Patient and clinician preferences for diabetes management among older adults with co-morbid HIV: A qualitative exploration.

Older adults with HIV are at increased risk of developing certain chronic health conditions including type 2 diabetes mellitus (T2DM). As the number and complexity of conditions increases, so do treatment and health care needs. We explored patient and clinician preferences for HIV+T2DM care and perceived solutions to improving care. We conducted an exploratory qualitative study comprised of individual in-depth interviews. Participants included English-speaking patients aged 50 and older living with HIV and T2DM and infectious disease (ID) and primary care (PC) clinicians from a large academic health center in Chicago. Thematic analysis drew from the Framework Method. A total of 19 patient and 10 clinician participants were interviewed. Many patients reported seeking HIV and T2DM care from the same clinician; they valued rapport and a 'one-stop-shop'. Others reported having separate clinicians; they valued perceived expertise and specialty care. Nearly all clinicians reported comfort screening for T2DM and initiating first line oral therapy; ID clinicians reported placing referrals for newer, complex therapies. Patients would like educational support for T2DM management; clinicians would like to learn more about newer therapies and easier referral processes. Patient-centered care includes managing T2DM from a variety of clinical settings for individuals with HIV, yet strategies are needed to better support clinicians. Future research should examine how best to implement these strategies.

IJCM_349A: Uncovering the hidden burden: a mixed-methods study on the implementation of depression screening among persons with Type 2 Diabetes Mellitus in an urban primary care setting

Background: Diabetes is linked with depression, but screening rates for depression are low, indicating a need for periodic screening among those with diabetes Objective: The study aims to determine depression prevalence and associated factors in persons with Type-2 Diabetes Mellitus (T2DM) in an urban primary care setting of Karnataka, as well as implementation challenges in depression screening for persons with T2DM as perceived by healthcare providers Methodology: We carried out a mixed-methods study over a period of six months at an Urban Primary Health Centre (UPHC) in Bengaluru. Depression screening was carried out in 110 persons with T2DM using Patient Health Questionnaire-9. Key Informant Interviews were carried out among various health care providers of the UPHC. Data was captured using EpiCollect Version 5.0. Univariate logistic regression was carried out to find the factors associated with depression. Results: Of the 110 participants, 60 (54.5%) screened positive for depression. Duration of diabetes (95% CI=0.203,0.943; P=0.035); presence of comorbidities (Odds Ratio=3.226; 95% CI=1.362,7.638; P=0.008), presence of complications (Odds Ratio=3.000; 95% CI=1.341,6.713; P=0.008) were found to be significantly associated with depression. The key facilitators for screening were willingness to implement screening, empathetic attitude, and awareness of mental health whereas the challenges included lack of training in mental health assessment and patient reluctance to adhere to treatment due to stigma. Conclusion: More than half the study participants screened positive for depression, with significant associations found between depression and duration of diabetes, comorbidities, and complications. Several challenges in implementing depression screening for T2DM in primary care settings were noted.

Gestational diabetes mellitus as a risk factor for future Type-2 diabetes mellitus: An experience from a tertiary care diabetes hospital, Karachi - Pakistan.

To evaluate the history of gestational diabetes mellitus and other risk factors in women presenting with Type-2 diabetes mellitus at a tertiary care hospital. This cross-sectional study was carried out at Baqai Institute of Diabetology & Endocrinology (BIDE), Baqai Medical University (BMU), Karachi-Pakistan from July 2019 to May 2022. Women with Type-2 diabetes mellitus (T2DM) visiting outpatient department of BIDE with a previous history of GDM were recruited. Details were obtained on pre-designed questionnaire after taking informed written consent. A total of 378 women who had a prior history of GDM were included. Mean age (years) was 43.53±10.17. Mostly women were obese (BMI = 30.53±6.08) and have sedentary lifestyle. Mean HbA1c (%) was 9.08±2.24. This study found family history of T2DM and hypertension were common risk factors in women with GDM history. Mostly, women were diagnosed as GDM during 2nd trimester 153(42%) and was mainly seen in multiparous women (occur in 4th and above pregnancy). We found hypertension as common complication during pregnancy. Around 46% women developed T2DM within one year of GDM diagnosis, and 29.6% between one to five years. Majority of women with GDM developed T2DM within five years of diagnosis. The potential associated risk factors were age, family history of diabetes, insulin use during pregnancy, trimester of GDM diagnosis, and hypertension during pregnancy. Awareness and life style modifications along with regular post-partum follow up with screening for T2DM should be part of GDM management to prevent or delay the occurrence of this serious complication.

Identifying diagnostic indicators for type 2 diabetes mellitus from physical examination using interpretable machine learning approach.

Identification of patients at risk for type 2 diabetes mellitus (T2DM) can not only prevent complications and reduce suffering but also ease the health care burden. While routine physical examination can provide useful information for diagnosis, manual exploration of routine physical examination records is not feasible due to the high prevalence of T2DM. We aim to build interpretable machine learning models for T2DM diagnosis and uncover important diagnostic indicators from physical examination, including age- and sex-related indicators. In this study, we present three weighted diversity density (WDD)-based algorithms for T2DM screening that use physical examination indicators, the algorithms are highly transparent and interpretable, two of which are missing value tolerant algorithms. Regarding the dataset, we collected 43 physical examination indicator data from 11,071 cases of T2DM patients and 126,622 healthy controls at the Affiliated Hospital of Southwest Medical University. After data processing, we used a data matrix containing 16004 EHRs and 43 clinical indicators for modelling. The indicators were ranked according to their model weights, and the top 25% of indicators were found to be directly or indirectly related to T2DM. We further investigated the clinical characteristics of different age and sex groups, and found that the algorithms can detect relevant indicators specific to these groups. The algorithms performed well in T2DM screening, with the highest area under the receiver operating characteristic curve (AUC) reaching 0.9185. This work utilized the interpretable WDD-based algorithms to construct T2DM diagnostic models based on physical examination indicators. By modeling data grouped by age and sex, we identified several predictive markers related to age and sex, uncovering characteristic differences among various groups of T2DM patients.

Machine-learning algorithms in screening for type 2 diabetes mellitus: Data from Fasa Adults Cohort Study.

The application of machine learning (ML) is increasingly growing in biomedical sciences. This study aimed to evaluate factors associated with type 2 diabetes mellitus (T2DM) and compare the performance of ML methods in identifying individuals with the disease in an Iranian setting. Using the baseline data from Fasa Adult Cohort Study (FACS) and in a sex-stratified manner, we studied factors associated with T2DM by applying seven different ML methods including Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbours (KNN), Gradient Boosting Machine (GBM), Extreme Gradient Boosting (XGB) and Bagging classifier (BAG). We further compared the performance of these methods; for each algorithm, accuracy, precision, sensitivity, specificity, F1 score, and Area Under Curve (AUC) were calculated. 10,112 participants were recruited between 2014 and 2016, of whom 1246 had T2DM at baseline. 4566 (45%) participants were males, aged between 35 and 70 years. For males, age, sugar consumption, and history of hospitalization were the most weighted variables regarding their importance in screening for T2DM using the GBM model, respectively; these variables were sugar consumption, urine blood, and age for females. GBM outperformed other models for both males and females with AUC of 0.75 (0.69-0.82) and 0.76 (0.71-0.80), and F1 score of 0.33 (0.27-0.39) and 0.42 (0.38-0.46), respectively. GBM also showed a sensitivity of 0.24 (0.19-0.29) and a specificity of 0.98 (0.96-1.0) in males and a sensitivity of 0.38 (0.34-0.42) and specificity of 0.92 (0.89-0.95) in females. Notably, close performance characteristics were detected among other ML models. GBM model might achieve better performance in screening for T2DM in a south Iranian population.

Genotype-based precision nutrition strategies for the prediction and clinical management of type 2 diabetes mellitus.

Globally, type 2 diabetes mellitus (T2DM) is one of the most common metabolic disorders. T2DM physiopathology is influenced by complex interrelationships between genetic, metabolic and lifestyle factors (including diet), which differ between populations and geographic regions. In fact, excessive consumptions of high fat/high sugar foods generally increase the risk of developing T2DM, whereas habitual intakes of plant-based healthy diets usually exert a protective effect. Moreover, genomic studies have allowed the characterization of sequence DNA variants across the human genome, some of which may affect gene expression and protein functions relevant for glucose homeostasis. This comprehensive literature review covers the impact of gene-diet interactions on T2DM susceptibility and disease progression, some of which have demonstrated a value as biomarkers of personal responses to certain nutritional interventions. Also, novel genotype-based dietary strategies have been developed for improving T2DM control in comparison to general lifestyle recommendations. Furthermore, progresses in other omics areas (epigenomics, metagenomics, proteomics, and metabolomics) are improving current understanding of genetic insights in T2DM clinical outcomes. Although more investigation is still needed, the analysis of the genetic make-up may help to decipher new paradigms in the pathophysiology of T2DM as well as offer further opportunities to personalize the screening, prevention, diagnosis, management, and prognosis of T2DM through precision nutrition.

Time to act: the challenge of high incidence of diabetes and prediabetes in patients admitted with different cardiovascular diseases phenotypes

Abstract Background Limited studies have focused on diagnosing type 2 diabetes mellitus (T2DM) and prediabetes in hospitalized patients with cardiovascular diseases (CVD) with their different phenotypes. In addition, HbA1c levels in patients admitted for cardiovascular reasons may be lower than in patients with symptoms of hyperglycemia. Purpose To assess the incidence of newly and previously diagnosed T2DM and prediabetes among patients hospitalized with CVD, depending on the reasons for admission. Methods In the single-center prospective study (registry) we enrolled 773 patients ≥40 years with established CVD and arterial hypertension (HTN) without type 1 diabetes mellitus, except for previously diagnosed T2DM and prediabetes who were admitted to the City Clinical hospital. We also assessed the reasons for admission. From 06.01.2018 to 03.01.2020 275 (35.6%) patients hospitalized with acute coronary syndrome (ACS), 163 (21.1%) with acute decompensated heart failure (ADHF), 157 (20.3%) with HTN, 75 (9.7%) with atrial fibrillation or flutter (AF), 67 (8.7%) with chronic coronary syndrome (CCS) and 36 (4.7%) with newly diagnosed T2DM. All of them screened for T2DM and prediabetes using HbA1c and fasting plasma glucose by ADA Guidelines. Results Screening results are shown in Picture 1. The overall incidence of T2DM or prediabetes in hospitalized patients with CVD was 55.9%, and before the screening, only 25.7% were diagnosed with T2DM or prediabetes. The highest incidence of T2DM or prediabetes, including previously diagnosed, was among patients admitted with ADHF – 71.2%, and the lowest, 46.2%, in those hospitalized with ACS. Picture 2 presents mean levels of HbA1c in patients with newly and previously diagnosed T2DM, depending on the reasons for admission. The highest HbA1c levels were identified in patients with CVD who were hospitalized with symptoms of hyperglycemia and in whom the diagnosis of T2DM was confirmed (р<0,001). However, patients hospitalized with ADHF, AF and CCS had a HbA1c level almost twice lower than in patients hospitalized with newly diagnosed T2DM and lower than in those hospitalized with ACS and HTN (р<0,001). At the same time, HbA1c levels in previously diagnosed T2DM did not differ significantly between groups. Conclusion Thus, about 1 out of 2 patients hospitalized with CVD have a T2DM or prediabetes, and more than a third of patients without a T2DM or prediabetes (41%) were previously undiagnosed. In addition, patients admitted with ADHF, AF, and CCS with newly diagnosed T2DM had lower levels of baseline HbA1c than patients with overt symptoms of hyperglycemia, ACS, and HTN. All this has a potential impact on the target groups of screening and initial therapy of T2DM, including new classes of drugs.Picture 1Picture 2

Resting heart rate and the risk of incident type 2 diabetes mellitus among non-diabetic and prediabetic Iranian adults: Tehran lipid and glucose study

BackgroundResting heart rate (RHR) has been found to be a potential risk factor for developing type 2 diabetes mellitus (T2DM), with a highly significant heterogeneity among previous studies. Therefore, we examined the association of RHR and risk of incident T2DM among non-diabetic and prediabetic adults.MethodsThe study population included 2431 men and 2910 women aged ≥ 20 years without T2DM at baseline (2001–2005). Participants were followed for incident T2DM by about 3-year intervals up to April 2018. The multivariable Cox proportional models were applied to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs). The models were adjusted for age, body mass index, waist circumference, educational level, physical activity, smoking, hypertension, family history of diabetes, triglycerides/ high-density lipoprotein cholesterol ratio, and fasting plasma glucose.ResultsDuring a median follow-up of 12.2 years, 313 men and 375 women developed T2DM. Interestingly, a significant sex-difference was found (all P-values for sex interaction < 0.025). Among men, compared to the first quintile (< 68 bpm: beats per minute), those who had RHR of over 84 bpm were at higher T2DM risk with a HR (95%CI) of 1.69 (1.16–2.47). Furthermore, considering RHR as a continuous variable, an increase of 10 bpm caused 17% significantly higher risk among men with a HR of 1.17 (1.05–1.30). However, among women, there was no significant association between incident T2DM and RHR. Moreover, among prediabetic participants at baseline, the association of RHR and risk of T2DM progression was generally similar to the general population, which means higher RHR increased the risk of T2DM development only among men with a HR of 1.26 (1.09–1.46) for 10 bpm increase.ConclusionsAmong men, being either non-diabetic or prediabetic at baseline, higher RHR can be associated with incident T2DM; however, women didn’t show a significant association. Further studies are needed to determine the added value of RHR as a potential modifiable risk factor in screening and risk prediction of incident T2DM.

SAT124 GRADE-adolopment Of Adult Diabetes Mellitus Management Guidelines For A Pakistani Context

Abstract Disclosure: A. Pervez: None. R. Martins: None. M. Masood: None. O. Mahmud: None. N. Rizvi: None. A. Sheikh: None. N. Islam: None. A. Khowaja: None. N. Ram: None. S. Furqan: None. M. Mustafa: None. S. Aamdani: None. A. Haider: None. S. Nadeem: None. Background: Pakistan has the highest national prevalence (1 in 4 adults) of type 2 diabetes mellitus (T2DM) in the world. Most T2DM clinical practice guidelines (CPGs) originate from high-income countries and are evidence based. Due to the lack of research infrastructure and financial resources, lower-middle income countries face challenges in the de novo creation of CPGs. Thus, we aimed to develop a comprehensive, high-quality CPG with a local context for adult outpatient T2DM management in Pakistan based on the GRADE-ADOLOPMENT process. Methods: In collaboration with the GRADE working group, an adaptation of the GRADE-ADOLOPMENT approach was followed. Adolopment is a combination of adoption, adaptation, and de novo development. The American Diabetes Association (ADA) Standards of Medical Care in Diabetes - 2021 was utilized as the source CPG by local endocrinology experts in Pakistan. Recommendations from the source CPG were either adopted as is, excluded, or adapted. Adaptation was done using the evidence-to-decision framework with a panel of experts. Results: The source CPG contained 243 recommendations, 219 of which were adopted without change. 5 recommendations were adopted with minor changes related to cost effectiveness to minimize cost-related nonadherence. 18 recommendations were excluded due to reasons including but not limited to the scope being beyond the initial aim of our guideline centers’ objective (such as recommendations related to pediatric or inpatient care), unavailability of medication, or inapplicability to the existing health-care system of Pakistan. One recommendation was adapted pertaining to the screening age for the diagnosis of T2DM. This was recommended to be lowered from the age of 45 years to 30 years due to the higher prevalence of T2DM in younger Pakistanis. This will enable the early detection and management of T2DM. Earlier screening highlights the opportunity to intervene early on and reduce complications. This, coincidentally, was also addressed by the ADA in their 2022 guideline, where the screening age was revised from 45 years to 35 years. Conclusion: Our GRADE-ADOLOPED CPG for T2DM management comprises of 225 recommendations. We recommend earlier screening for T2DM in Pakistan. We additionally suggest careful consideration of cost to promote adherence while also recommending CGM use in the management plan of people with T2DM who can afford it. Our modified methodology provides an excellent resource efficient method to create locally contextualized evidence-based CPGs. Our goal is to publish and disseminate this CPG to improve the quality of T2DM care in Pakistan. Rigorous expanded research exploring the effectiveness of earlier screening for T2DM in Pakistan should be conducted in the future. Presentation: Saturday, June 17, 2023

The causal relationship between gut microbiota and type 2 diabetes: a two-sample Mendelian randomized study.

Type 2 diabetes mellitus (T2DM) is a commonly observed metabolic anomaly globally, and as of the present time, there's no recognized solution. There is an increasing body of evidence from numerous observational studies indicating a significant correlation between gut flora and metabolic disease progression, particularly in relation to T2DM. Despite this, the direct impact of gut microbiota on T2DM isn't fully understood yet. The summary statistical figures for intestinal microbiota were sourced from the MiBioGen consortium, while the summary statistical data for T2DM were gathered from the Genome-Wide Association Studies (GWAS) database. These datasets were used to execute a two-sample Mendelian randomization (MR) investigation. The Inverse Variance Weighted (IVW), Maximum Likelihood, MR-Egger, Weighted Median, and Weighted Models strategies were employed to assess the impact of gut microbiota on T2DM. Findings were primarily obtained using the IVW technique. Techniques like MR-Egger were employed to identify the occurrence of horizontal pleiotropy among instrumental variables. Meanwhile, Cochran's Q statistical measures were utilized to assess the variability or heterogeneity within these instrumental variables. The outcomes from the IVW analysis demonstrated that the genus Alistipes (OR = 0.998, 95% confidence interval: 0.996-1.000, and P = 0.038), genus Allisonella (OR = 0.998, 95% confidence interval: 0.997-0.999, P = 0.033), genus Flavonifractor (OR = 0.995, 95% confidence interval: 0.993-0.998, P = 3.78 × 10-3), and genus Haemophilus (OR = 0.995, 95% confidence interval: 0.993-0.998, P = 8.08 × 10-3) all acted as defense elements against type 2 diabetes. Family Clostridiaceae1 (OR = 1.003, 95% confidence interval: 1.001-1.005, P = 0.012), family Coriobacteriaceae (OR = 1.0025, 95% confidence interval: 1.000-1.005, P = 0.043), genus Actinomyces (OR = 1.003,95% confidence interval: 1.001-1.005, P = 4.38 × 10-3), genus Candidatus Soleaferrea (OR = 1.001,95% confidence interval: 1.000-1.002 P = 0.012) were risk factors for type 2 diabetes. False Discovery Rate correction was performed with finding that genus.Allisonella, genus.Alistipes, family Coriobacteriaceaeand T2DM no longer displayed a significant causal association. In addition, no significant heterogeneity or horizontal pleiotropy was found for instrumental variable. This MR study relies on genetic variation tools to confirm the causal effect of genus Flavonifractor, genus Haemophilus, family Clostridiaceae1, genus Actinomyces and genus Candidatus Soleaferrea on T2DM in the gut microbiome, providing new directions and strategies for the treatment and early screening of T2DM, which carries significant clinical relevance. To develop new biomarkers and better understand targeted prevention strategies for T2DM, further comprehensive investigations are required into the protective and detrimental mechanisms exerted by these five genera against T2DM.

Association between urban–rural location and prevalence of type 2 diabetes and impaired fasting glucose in West Africa: a cross–sectional population–based epidemiological study

ObjectivesWe investigated the association between urban/rural location and both type 2 diabetes mellitus (T2DM) and pre-diabetes among populations of five West African countries.DesignCross-sectional studies, using the WHO Stepwise (STEPs) survey...

Postpartum Screening for Type 2 Diabetes Mellitus Among Women With Gestational Diabetes Mellitus at King Abdulaziz University Hospital: A Cross-Sectional Study.

Background Diabetes is characterized by elevated blood glucose levels due to inadequate insulin production or abnormalities in cellular activity. Gestational diabetes mellitus (GDM) is one of the most prominent indicators of type 2 diabetes mellitus (T2DM), which develops in pregnant women whose pancreatic function is insufficient to control the insulin resistance associated with pregnancy. Moreover, it is the most common metabolic disorder, with the majority of cases beginning in the second or third trimester of pregnancy and affecting up to 25% of pregnant women. Objectives The objective of this study was to identify factors associated with postpartum T2DM screening in women with GDM at King Abdulaziz University Hospital (KAUH) between 2010 and 2022. The secondary objective was to assess the factors associated with providing information to the patients about the risks of increased blood glucose and postpartum lifestyle modification. Methods We conducted a retrospective cross-sectional study at KAUH to investigate potential factors associated with postpartum screening for T2DM. Out of 564 patients diagnosed with GDM between 2020 and 2022, we included 200 women aged over 18 years with a history of GDM, as they met the inclusion criteria for our study. Patients younger than 18 years with missing or incomplete baseline characteristics were excluded. Data were analyzed using SPSS Statistics version 21 (IBM Corp. Released 2012. IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp.), and p-value <0.05 was considered significant. Results A total of 200 postpartum women with GDM were included in this study. Their mean age was 35.02±5.2 years. Many of them had a family history of diabetes (83.0%) and a previous diagnosis of GDM (60.5%). The patients who performed glucose testing six weeks after birth were previously diagnosed with GDM (37.0%) or with a family history of diabetes (45.5%). The significant variables in this analysis were mothers having frequent postpartum hospital follow-up visits (P<0.001), mothers with gestationalweight gain (P=0.018), those who were informed about the risks of increased blood glucose (P=0.011), and those who were informed about plans for postpartum glucose screening (P=0.002). The motherswith a previous history of GDM were the highest to be informed of the risks of elevated blood glucose. Conclusion Frequent postpartum hospital follow-up visits, gestationalweight gain, knowledge of the risks of elevated blood sugar, and postpartum glucose screening plans were all associated withpostpartum glucose testing rates among women with GDM in Saudi Arabia.

Mean age and body mass index at type 2 diabetes diagnosis: Pooled analysis of 56 health surveys across income groups and world regions.

Screening for type 2 diabetes mellitus (T2DM) targets people aged 35+ years and those with overweight/obesity. With mounting evidence on young-onset T2DM and T2DM patients with lean phenotypes, it is worth revising the screening criteria to include younger and leaner adults. We quantified the mean age and body mass index (BMI; kg/m2 ) at T2DM diagnosis in 56 countries. Descriptive cross-sectional analysis of WHO STEPS surveys. We analysed adults (25-69 years) with new T2DM diagnosis (not necessarily T2DM onset) as per fasting plasma glucose ≥126 mg/dL measured during the survey. For people with new T2DM diagnosis, we summarized the mean age and the proportion of each five-year age group; also, we summarized the mean BMI and the proportion of mutually exclusive BMI categories. There were 8695 new T2DM patients. Overall, the mean age at T2DM diagnosis was 45.1 years in men and 45.0 years in women; and the mean BMI at T2DM diagnosis was 25.2 in men and 26.9 in women. Overall, in men, 10.3% were 25-29 years and 8.5% were 30-34 years old; in women, 8.6% and 12.5% were 25-29 years and 30-34 years old, respectively. 48.5% of men and 37.3% of women were in the normal BMI category. A non-negligible proportion of new T2DM patients were younger than 35 years. Many new T2DM patients were in the normal weight range. Guidelines for T2DM screening may consider revising the age and BMI criteria to incorporate young and lean adults.

Association of Type 2 Diabetes Mellitus with Cognitive Function in Adults: A Prospective Cohort Study.

The Cognitive role of untreated type 2 diabetes mellitus (T2DM) has been less well substantiated. We sought to explore the prospective association of T2DM and untreated T2DM with cognitive function among middle-aged and older Chinese adults. Data of 7,230 participants without baseline brain damage/mental retardation, or memory-related diseases in China Health and Retirement Longitudinal Study (CHARLS) from 2011- 2012 to 2015, were analyzed. Fasting plasma glucose and self-reported information on T2DM diagnosis and treatment were assessed. Participants were categorized into normoglycemia, impaired fasting glucose (IFG), and T2DM (including untreated and treated T2DM) groups. Episodic memory and executive function were assessed by modified Telephone Interview for Cognitive Status every two years. We used generalized estimating equation model to examine the association of baseline T2DM status with cognitive function in succeedingyears. Compared to those with normoglycemia, T2DM was associated with worse overall cognitive function after controlling for demographic variables, lifestyles, follow-up time, major clinical factors, and baseline cognitive function, although the associations were statistically non-significant (β= -0.19, 95% CI: -0.39, 0.00). However, a significant association was mainly observed for those with untreated T2DM (β= -0.26, 95% CI: -0.47, -0.04), especially in the domain of executive function (β= -0.19, 95% CI: -0.35, -0.03). In general, IFG and treated T2DM individuals had similar levels of cognitive function with normoglycemia participants. Our findings supported a detrimental role of untreated T2DM on cognitive function among middle-aged and older adults. Screening and early treatment for T2DM are warranted for maintaining better cognitive function in later life.

Early postpartum HbA1c after hyperglycemia first detected in pregnancy-Imperfect but not without value.

South African women of childbearing age are disproportionally affected by obesity and at significant risk of Type 2 Diabetes Mellitus (T2DM). Unless pregnant, they do not readily undergo screening for T2DM. With a local focus on improved antenatal care, hyperglycemia is often first detected in pregnancy (HFDP). This may erroneously be attributed to Gestational Diabetes Mellitus (GDM) in all without considering T2DM. Glucose evaluation following pregnancy is essential for early detection and management of women with T2DM in whom persistent hyperglycemia is to be expected. Conventional testing with an oral glucose tolerance test (OGTT) is cumbersome, prompting investigation for alternate solutions. To compare the diagnostic performance of HbA1c to the current gold standard OGTT in women with HFDP 4-12 weeks post-delivery. Glucose homeostasis was assessed with OGTT and HbA1c in 167 women with HFDP, 4-12 weeks after delivery. Glucose status was based on American Diabetes Association criteria. Glucose homeostasis was assessed at 10 weeks (IQR 7-12) after delivery. Of the 167 participants, 52 (31%) had hyperglycemia, which was comprised of 34 (20%) prediabetes and 18 (11%) T2DM. Twelve women in the prediabetes subgroup had diagnostic fasting plasma glucose (FPG) and 2-hour plasma glucose (2hPG), but in two-thirds of the patients (22/34) only one time point proved diagnostic. The FPGs and the 2hPGs of six women with HbA1c-based T2DM were both within the prediabetes diagnostic range. According to the HbA1c measurements, 85% of 52 participants with gold standard OGTT defined hyperglycemia (prediabetes and T2DM) as well as 15 of 18 women with postpartum persistent T2DM were correctly classified. According to FPG, 15 women with persistent hyperglycemia would have been missed (11 with prediabetes and four with T2DM; 29%). When compared to an OGTT, a single HbA1c of 6.5% (48mmol/mol) postpartum demonstrated a sensitivity of 83% and specificity of 97% for the identification of T2DM. HbA1c may improve access to postpartum testing in overburdened clinical settings where the required standards of OGTT cannot be guaranteed. HbA1c is a valuable test to detect women who will benefit most from early intervention but cannot unequivocally replace OGTT.

Roadmap for the Management of Type2 Diabetes and Hypertension in the Middle East: Review of the 2022 EVIDENT Summit.

Type2 diabetes mellitus (T2DM) and hypertension are leading risk factors for death and disability in the Middle East. Both conditions are highly prevalent, underdiagnosed and poorly controlled, highlighting an urgent need for a roadmap to overcome the barriers to optimal glycaemic and blood pressure management in this region. This review provides a summary of the Evidence in Diabetes and Hypertension Summit (EVIDENT) held in September 2022, which discussed current treatment guidelines, unmet clinical needs and strategies to improve treatment outcomes for patients with T2DM and hypertension in the Middle East. Current clinical guidelines recommend strict glycaemic and blood pressure targets, presenting several treatment options to achieve and maintain these targets and prevent complications. However, treatment targets are infrequently met in the Middle East, largely due to high clinical inertia among physicians and low medication adherence among patients. To address these challenges, clinical guidelines now provide individualised therapy recommendations based on drug profiles, patient preferences and management priorities. Efforts to improve the early detection of prediabetes, T2DM screening and intensive, early glucose control will minimise long-term complications. Physicians can use the T2DM Oral Agents Fact Checking programme to help navigate the wide range of treatment options and guide clinical decision-making. Sulfonylurea agents have been used successfully to manage T2DM; a newer agent, gliclazide MR (modified release formulation), has the advantages of a lower incidence of hypoglycaemia with no risk of cardiovascular events, weight neutrality and proven renal benefits. For patients with hypertension, single-pill combinations have been developed to improve efficacy and reduce treatment burden. In conjunction with pragmatic treatment algorithms and personalised therapies, greater investments in disease prevention, public awareness, training of healthcare providers, patient education, government policies and research are needed to improve the quality of care of patients with T2DM and/or hypertension in the Middle East.

Predicting the Risk of Type 2 Diabetes Mellitus with the New Chinese Diabetes Risk Score in a Cohort Study.

Objectives: The New Chinese Diabetes Risk Score (NCDRS) is a noninvasive tool to assess the risk of type 2 diabetes mellitus (T2DM) in the Chinese population. Our study aimed to evaluate the performance of the NCDRS in predicting T2DM risk with a large cohort. Methods: The NCDRS was calculated, and participants were categorized into groups by optimal cutoff or quartiles. Hazard ratios (HRs) and 95% confidential intervals (CIs) in Cox proportional hazards models were used to estimate the association between the baseline NCDRS and the risk of T2DM. The performance of the NCDRS was assessed by the area under the curve (AUC). Results: The T2DM risk was significantly increased in participants with NCDRS ≥25 (HR = 2.12, 95% CI 1.88-2.39) compared with NCDRS <25 after adjusting for potential confounders. T2DM risk also showed a significant increasing trend from the lowest to the highest quartile of NCDRS. The AUC was 0.777 (95% CI 0.640-0.786) with a cutoff of 25.50. Conclusion: The NCDRS had a significant positive association with T2DM risk, and the NCDRS is valid for T2DM screening in China.

Adolopment of adult diabetes mellitus management guidelines for a Pakistani context: Methodology and challenges.

Pakistan has the highest national prevalence of type 2 diabetes mellitus (T2DM) in the world. Most high-quality T2DM clinical practice guidelines (CPGs) used internationally originate from high-income countries in the West. Local T2DM CPGs in Pakistan are not backed by transparent methodologies. We aimed to produce comprehensive, high-quality CPGs for the management of adult DM in Pakistan. We employed the GRADE-ADOLOPMENT approach utilizing the T2DM CPG of the American Diabetes Association (ADA) Standards of Medical Care in Diabetes - 2021 as the source CPG. Recommendations from the source guideline were either adopted as is, excluded, or adapted according to our local context. The source document contained 243 recommendations, 219 of which were adopted without change, 5 with minor changes, and 18 of which were excluded in the newly created Pakistani guidelines. One recommendation was adapted: the recommended age to begin screening all individuals for T2DM/pre-diabetes was lowered from 45 to 30 years, due to the higher prevalence of T2DM in younger Pakistanis. Exclusion of recommendations were primarily due to differences in the healthcare systems of Pakistan and the US, or the unavailability of certain drugs in Pakistan. A CPG for the management of T2DM in Pakistan was created. Our newly developed guideline recommends earlier screening for T2DM in Pakistan, primarily due to the higher prevalence of T2DM amongst younger individuals in Pakistan. Moreover, the systematic methodology used is a significant improvement on pre-existing T2DM CPGs in Pakistan. Once these evidence based CGPs are officially published, their nationwide uptake should be top priority. Our findings also highlight the need for rigorous expanded research exploring the effectiveness of earlier screening for T2DM in Pakistan.

Follow-up and screening for type-2 diabetes mellitus in women with previous gestational diabetes in primary care

Objective Gestational diabetes mellitus (GDM) is an established risk factor for developing type 2 diabetes mellitus (T2DM) that is possible to prevent by systematic follow-up and preventive measures. The aim of this study was to examine whether women with previous GDM were offered follow-up in primary care, according to Swedish national guidelines. Design Retrospective review of electronic medical records. Setting Primary care in southern Sweden, Skåne county. Subjects Women who received a GDM diagnosis in 2018 at the Endocrinology department, Skåne University Hospital in Lund. The study population consisted of a total number of 161 patients, whereof 83 patients were included. Main outcome measures Whether primary care offered follow-up for T2DM after GDM and if any communication took place between secondary and primary care. Furthermore, it was examined whether the quality of the follow-up was in accordance with the national guidelines. Results Of the study population, a total of 29% (n = 24) had been followed-up by primary care. In 55% (n = 46) of the cases, there was no communication between secondary and primary care. Plasma glucose was checked in all (n = 20) cases where follow-up could be evaluated. Conversations about lifestyle habits took place in 70% (n = 14) of the cases. Weight and risk factors for cardiovascular disease were controlled in less than half (n = 9) of the patients. Lifestyle advice was offered in two cases and in 24% (n = 20) of the cases an annual check-up was planned. Conclusions The follow-up of women with previous GDM in primary care in southern Sweden was lacking in seven out of 10 cases and showed great potential for improvement. Key Points Gestational diabetes is an established risk factor for developing type 2 diabetes. Earlier research has recognized that risk reduction is possible by systematic follow-up and preventive measures, but the extent of follow-up in primary care in southern Sweden remains unknown. This study demonstrates a lack of follow-up according to national guidelines for women with previous gestational diabetes in primary care in southern Sweden. There is great potential to improve the care of these patients with relatively simple means.

Identifying Discrepancies in Gestational Diabetes Mellitus Postpartum Follow-Up During Care Transitions.

Gestational diabetes mellitus (GDM) is a common complication of pregnancy that carries lasting risks. For women who have a history of GDM, the risk of developing type 2 diabetes mellitus (T2DM) increases by 50 to 60%. To monitor and prevent the development of T2DM, guidelines suggest screening those with a history of GDM at 6-weeks and 3-years post-delivery. For patients with abnormal lab results at the 6-week mark, it is advised to complete lab work sooner, at the 1-year mark. Data suggests that these guidelines are not being followed globally, and most do not receive adequate screening for T2DM. A retroactive chart review of 203 women between 18 and 55 years old with a past medical history significant for GDM was conducted to determine if patients with GDM completed screening for T2DM at 6-week, 1-year, and 3-year timestamps post-delivery. Patient demographics (age, race, ethnicity, language), clinical characteristics (body mass index), provider gender, and whether prediabetes or T2DM developed were recorded. Patients who did not complete the required follow-up received educational materials via the online portal system, and hemoglobin A1c (HbA1c) screening tests were ordered. Ninety days post-intervention, 38 patients (50%) completed the HbA1c screening test, which exceeded our goal of a 5% improvement. Age and BMI 1-year postpartum were found to be significant factors in whether a patient completed HbA1c screening, with 16/18 (89%) completing screening with a healthy BMI 1-year postpartum (18.5 ≤ BMI < 25.0) but only 11/41 (27%) completing screening for patients under 40 years with an unhealthy BMI 1-year postpartum. Of the 38 patients who completed HbA1c screening, 9 (23.7%) had abnormal screening results. Follow-up surveillance for T2DM among women with a history of GDM is poor. Electronic health records can be used to identify and rectify gaps in care. Dissemination of standardized educational materials and electronic order entry for patients improved screening between the handoff from obstetrics to primary care.