New-onset Type 2 Diabetes Research Articles

Relationship between the ApoB/ApoA-I ratio trajectory and risk of type 2 diabetes in China: a retrospective cohort study

Little research has investigated the correlation of changes in long-term apolipoprotein B/apolipoprotein A-I (ApoB/ApoA-I) ratio with risk of new-onset type 2 diabetes (T2D) among ordinary people. Therefore, the research took long-term ApoB/ApoA-I ratio trajectories as independent variables for exploring their association with the risk of newly diagnosed T2D. Altogether 5362 non-diabetic participants with a median age of 49 were enrolled in the cohort study. Their ApoB/ApoA-I ratio trajectories from 2016 to 2019 were analyzed and grouped using group-based trajectory modeling. The Kaplan-Meier approach was employed for calculating the newly diagnosed T2D-related incidence with different ApoB/ApoA-I ratio trajectories. A log-rank test was conducted for testing the presence of statistical difference in new-onset T2D incidence among the different ApoB/ApoA-I ratio trajectory groups. A multivariate Cox proportional hazards regression model was adopted for analyzing how ApoB/ApoA-I ratio trajectory changes affected new-onset T2D. From 2016 to 2019, 199 patients developed T2D (3% in 3 years). The incidence of T2D was 2.0%, 3.28%, 5.86%, and 6.92% for low, middle, upper, and high ApoB/ApoA-I ratio trajectories, respectively. Following adjustment of underlying confounding factors, in contrast to low ApoB/ApoA-I ratio trajectory, new-onset T2D risk ratios and hazard ratio (HR) (95% confidence intervals [CI]) for the middle lower ApoB/ApoA-I ratio trajectory, and upper middle and high ApoB/ApoA-I ratio trajectories were [HR (95% CI)] 1.35(0.88-2.08), 1.98(1.27-3.09) and 2.42(1.35-4.34), respectively, indicating high and statistically significant risks of T2D. Variations of the ApoB/ApoA-I ratio trajectory exerted independent effects on the 3-year incidence of T2D. Long-term monitoring on the ApoB/ApoA-I ratio locus may help improve the identification on patients with T2D.

Role of Pulmonary Function in Predicting New-Onset Cardiometabolic Diseases and Cardiometabolic Multimorbidity

Although pulmonary function has been studied in relationship to individual cardiometabolic diseases, uncertainty persists about the difference in risk magnitudes of pulmonary function for these diseases and its association with cardiometabolic multimorbidity (CM). Does pulmonary function have different risk magnitudes for cardiometabolic diseases and CM? This study used data from the UK Biobank, including 357,433 individuals with no cardiometabolic diseases at baseline (stage I) and 35,034 individuals with one cardiometabolic disease at baseline (stage II). Pulmonary function was measured by FVC or FEV1. We defined CM as the coexistence of at least two cardiometabolic diseases: type 2 diabetes (T2D), coronary heart disease (CHD), and stroke. Multinomial logistic regression models and Cox proportional hazards models were performed to estimate ORs or hazard ratios (HRs) and their 95%CIs for the longitudinal relationship between baseline pulmonary function and incident cardiometabolic outcomes. In stage I, FVC showed the most pronounced associations with new-onset CM and T2D among the four mutually exclusive end points. Compared with the lowest quartile (quartile 1), the adjusted ORs of quartile 4 of FVC were 0.525 (95%CI, 0.468-0.589) for CM, 0.534 (95%CI, 0.498-0.572) for T2D alone, 0.817 (95%CI, 0.751-0.888) for stroke alone, and 0.800 (95%CI, 0.764-0.837) for CHD alone. In stage II, FVC also was associated with the risk of CM in patients with T2D (HR of quartile 4, 0.727; 95%CI, 0.649-0.814), patients with CHD (HR, 0.635; 95%CI, 0.555-0.727), and patients who experienced stroke (HR, 0.783, 95%CI, 0.642-0.955). Similar results were observed for FEV1 in both stages. This study revealed the different risk associations of pulmonary function with individual cardiometabolic diseases and CM. Tailor-made screening and monitoring through pulmonary function may be applicable for the precise prevention and control of these conditions.

Prescribing Patterns and Response to Antihyperglycemic Agents Among Novel Clusters of Type 2 Diabetes in Asian Indians.

Aim: To assess the prescribing patterns and response to different classes of antihyperglycemic agents in novel clusters of type 2 diabetes (T2D) described in India. Materials and Methods: We attempted to replicate the earlier described clusters of T2D, in 32,867 individuals with new-onset T2D (within 2 years of diagnosis) registered between October 2013 and December 2020 at 15 diabetes clinics located across India, by means of k-means clustering utilizing 6 clinically relevant variables. Individuals who had follow-up glycated hemoglobin (HbA1c) up to 2 years were included for the drug response analysis (n = 13,247). Results: Among the 32,867 participants included in the study, 20,779 (63.2%) were males. The average age at diagnosis was 45 years and mean HbA1c at baseline was 8.9%. The same four clusters described in India earlier were replicated. Forty percent of the study participants belonged to the mild age-related diabetes cluster, followed by insulin-resistant obese diabetes (27%), severe insulin-deficient diabetes (21%), and combined insulin-resistant and insulin-deficient diabetes (12%) clusters. The most frequently used antihyperglycemic agents were sulfonylureas, metformin, and dipeptidyl peptidase-4 inhibitors apart from insulin. While there were significant differences in HbA1c reduction between drugs across clusters, these were largely driven by differences in the baseline (pretreatment) HbA1c. Conclusions: In this new cohort, we were able to reliably replicate the four subtypes of T2D earlier described in Asian Indians. Prescribing patterns show limited usage of newer antihyperglycemic agents across all clusters. Randomized clinical trials are required to establish differential drug responses between clusters.

The iHealth-T2D study, prevention of type 2 diabetes amongst South Asians with central obesity and prediabetes: study protocol for a randomised controlled trial

BackgroundPeople from South Asia are at increased risk of type 2 diabetes (T2D). There is an urgent need to develop approaches for the prevention of T2D in South Asians that are cost-effective, generalisable and scalable across settings.HypothesisCompared to usual care, the risk of T2D can be reduced amongst South Asians with central obesity or raised HbA1c, through a 12-month lifestyle modification programme delivered by community health workers.DesignCluster randomised clinical trial (1:1 allocation to intervention or usual care), carried out in India, Pakistan, Sri Lanka and the UK, with 30 sites per country (120 sites total). Target recruitment 3600 (30 participants per site) with annual follow-up for 3 years.Entry criteriaSouth Asian, men or women, age 40–70 years with (i) central obesity (waist circumference ≥ 100 cm in India and Pakistan; ≥90 cm in Sri Lanka) and/or (ii) prediabetes (HbA1c 6.0–6.4% inclusive). Exclusion criteria: known type 1 or 2 diabetes, normal or underweight (body mass index < 22 kg/m2); pregnant or planning pregnancy; unstable residence or planning to leave the area; and serious illness.EndpointsThe primary endpoint is new-onset T2D at 3 years, defined as (i) HbA1c ≥ 6.5% or (ii) physician diagnosis and on treatment for T2D. Secondary endpoints at 1 and 3 years are the following: (i) physical measures: waist circumference, weight and blood pressure; (ii) lifestyle measures: smoking status, alcohol intake, physical activity and dietary intake; (iii) biochemical measures: fasting glucose, insulin and lipids (total and HDL cholesterol, triglycerides); and (iv) treatment compliance.InterventionLifestyle intervention (60 sites) or usual care (60 sites). Lifestyle intervention was delivered by a trained community health worker over 12 months (5 one-one sessions, 4 group sessions, 13 telephone sessions) with the goal of the participants achieving a 7% reduction in body mass index and a 10-cm reduction in waist circumference through (i) improved diet and (ii) increased physical activity. Usual care comprised a single 30-min session of lifestyle modification advice from the community health worker.ResultsWe screened 33,212 people for inclusion into the study. We identified 10,930 people who met study entry criteria, amongst whom 3682 agreed to take part in the intervention. Study participants are 49.2% female and aged 52.8 (SD 8.2) years. Clinical characteristics are well balanced between intervention and usual care sites. More than 90% of follow-up visits are scheduled to be complete in December 2020. Based on the follow-up to end 2019, the observed incidence of T2D in the study population is in line with expectations (6.1% per annum).ConclusionThe iHealth-T2D study will advance understanding of strategies for the prevention of diabetes amongst South Asians, use approaches for screening and intervention that are adapted for low-resource settings. Our study will thus inform the implementation of strategies for improving the health and well-being of this major global ethnic group.IRB approval16/WM/0171Trial registrationEudraCT 2016-001350-18. Registered on 14 April 2016. ClinicalTrials.govNCT02949739. Registered on 31 October 2016, First posted on 31/10/2016.

High incidence of type 2 diabetes in a population with normal range body mass index and individual prediction nomogram in Vietnam.

The study aimed at determining 5-year incidence and prediction nomogram for new-onset type 2 diabetes (T2D) in a middle-aged population in Vietnam. A population-based prospective study was designed to collect socio-economic, anthropometric, lifestyle and clinical data. Five-year T2D incidence was estimated and adjusted for age and sex. Hazard ratio (HR) for T2D was investigated using discrete-time proportional hazards model. T2D prediction model entering the most significant risk factors was developed using the multivariable logistic-regression algorithm. The corresponding prediction nomogram was constructed and checked for discrimination, calibration and clinical usefulness. The age- and sex-adjusted incidence was 21.0 cases (95% CI: 12.2-40.0) per 1000 person-years in people with mean BMI of 22.2 (95% CI: 21.9-22.7kg/m2 ). The HRs (95% CI) for T2D were 1.14 (1.05-1.23) per 10mmHg systolic blood pressure, 1.05 (1.03-1.08) per 1cm waist circumference, 1.40 (1.13-1.73) per 1mmol/L fasting blood glucose, 1.77 (1.15-2.71) per sleeping time (<6h/day vs 6-7h/day) and 2.12 (1.25-3.61) per residence (urban vs rural). The prediction nomogram for new-onset T2D had a good discrimination (area under curve: 0.711, 95% CI: 0.666-0.755) and fit calibration (mean absolute error: 0.009). For the predicted probability thresholds between 0.03 and 0.36, the nomogram showed a positive net benefit, without increasing the number of false positives. This study highlighted an alarmingly high incidenceof T2D in a middle-aged population with a normal range BMI in Vietnam. The individual prediction nomogram with decision curve analysis for new-onset T2D would be valuable for early detection, intervention and treatment of the condition.

Pre-Metabolic Syndrome and Incidence of Type 2 Diabetes and Hypertension: From the Korean Genome and Epidemiology Study

The aim of this study was to investigate the prevalence of premetabolic syndrome (pre-MetSyn) and its components and to longitudinally examine their association with new-onset type 2 diabetes (T2D) or hypertension. A total of 4037 men and 4400 women aged 40 to 69 years were selected from the Korean Genome and Epidemiology Study, observed from 2001 to 2014. Pre-MetSyn was defined as the presence of one or two components of MetSyn (B, elevated blood pressure; G, elevated glucose; H, low HDL-cholesterol; T, elevated triglycerides; W, increased waist circumference). The prevalence of pre-MetSyn was higher than that of non-MetSyn and MetSyn in both men and women. In multivariate Cox regression analyses, G, T, G+T, W+G, B+G, B+T, W+T, B+H, and H+T in men and G, T, G+H, B+T, and H+T in women were significantly associated with new-onset T2D. B, W, B+H, B+T, W+H, and W+T in men and B, B+T, B+H, B+W, and W+H in women were significantly associated with new-onset hypertension. The prevalence of pre-MetSyn components and their associations with new-onset T2D or hypertension differed according to sex and disease. Our results suggest that specific phenotypes of pre-MetSyn may be important factors for predicting and preventing the development of T2D and hypertension.

130-LB: Dapagliflozin and the Incidence of Type 2 Diabetes in Patients with Chronic Kidney Disease

The DAPA-CKD trial demonstrated a significant reduction in the risk of adverse kidney and cardiovascular outcomes in participants with chronic kidney disease (CKD), with and without type 2 diabetes (T2D), treated with dapagliflozin 10 mg once daily compared to placebo (randomized 1:1). This pre-specified analysis explored the effect of dapagliflozin on incident T2D in the cohort without diabetes enrolled in DAPA-CKD. A subgroup of 1,398 participants with CKD, no prior history of diabetes, and HbA1c &amp;lt;6.5% at baseline were included. In this pre-specified exploratory analysis, surveillance for new-onset T2D (confirmed HbA1c ≥6.5%) was accomplished through periodic HbA1c testing (part of the study protocol) and comparison between treatment groups assessed through Cox proportional hazards model. Over a median follow-up of 2.4 years, T2D developed in 33/701 (4.7%) in the placebo group and 21/697 (3.0%) in the dapagliflozin group. This corresponded to event rates of 2.4/100-patient years and 1.5/100-patient years, respectively. Dapagliflozin led to a 38% reduction in T2D incidence (hazard ratio [95%CI] 0.62 [0.36, 1.08]). There was no heterogeneity in the effect of dapagliflozin on T2D prevention based on most key prespecified subgroups, including age, glycemic status, blood pressure, estimated glomerular filtration rate, albuminuria, race and region, but the effect was more pronounced in females (p interaction 0.03). More than 90% of the participants who developed T2D had prediabetes at baseline (HbA1c 5.7-6.4%). A meta-analysis of DAPA-CKD and DAPA-HF (dapagliflozin in heart failure with reduced ejection fraction) demonstrated that dapagliflozin reduced new-onset diabetes compared to placebo (hazard ratio 0.66 [0.51, 0.87]; p=0.003), without heterogeneity between studies (p interaction 0.78). In this pre-specified explorative analysis of patients with CKD, treatment with dapagliflozin reduced the incidence of new T2D, an effect that was consistent across DAPA-CKD and DAPA-HF. Disclosure P. Rossing: Advisory Panel; Self; Astellas Pharma Inc., AstraZeneca, Bayer AG, Boehringer Ingelheim International GmbH, Gilead Sciences, Inc., Merck KGaA, Merck Sharp &amp; Dohme Corp., Novo Nordisk A/S, Sanofi, Vifor Pharma Management Ltd. A. Langkilde: Employee; Self; AstraZeneca, Stock/Shareholder; Self; AstraZeneca. D. C. Wheeler: Advisory Panel; Self; Merck Sharp &amp; Dohme Corp., Consultant; Self; AstraZeneca, Bayer AG, Boehringer Ingelheim International GmbH, GlaxoSmithKline plc., Janssen Global Services, LLC., Mundipharma International, Tricida, Inc., Speaker’s Bureau; Self; Amgen Astellas BioPharma, Astellas Pharma Inc., Napp Pharmaceuticals, Vifor Pharma Management Ltd. H. L. Heerspink: Consultant; Self; AbbVie Inc., Astellas Pharma Inc., AstraZeneca, Bayer AG, Boehringer Ingelheim International GmbH, Chinook, CSL Behring, Fresenius Medical Care, Gilead Sciences, Inc., Janssen Research &amp; Development, LLC, Merck &amp; Co., Inc., Mitsubishi Corporation Life Sciences Limited, Mundipharma International, Novo Nordisk, Retrophin, Inc., Research Support; Self; AbbVie Inc., AstraZeneca, Boehringer Ingelheim International GmbH, Janssen Research &amp; Development, LLC. Dapa-ckd study group: n/a. P. Vart: None. G. M. Chertow: Advisory Panel; Self; Ardelyx, Baxter, Cricket Health, DURECT Corporation, Gilead Sciences, Inc., Reata Pharmaceuticals, Inc., Other Relationship; Self; Akebia Therapeutics, Inc., AstraZeneca, Vertex Pharmaceuticals Incorporated. F. Hou: Consultant; Self; AstraZeneca. N. Jongs: None. J. J. Mcmurray: Other Relationship; Self; AbbVie Inc., Amgen Inc., AstraZeneca, Bayer AG, Cytokinetics Inc., DalCor Pharmaceuticals, Merck &amp; Co., Inc., Novartis AG, Servier Laboratories, Theracos, Inc. R. Correa-rotter: Consultant; Self; GlaxoSmithKline plc., Other Relationship; Self; AstraZeneca, Boehringer Ingelheim (Canada) Ltd., Novo Nordisk Inc., Speaker’s Bureau; Self; AbbVie Inc., Janssen Pharmaceuticals, Inc., Takeda Pharmaceutical Co. B. Stefansson: Employee; Self; AstraZeneca. R. D. Toto: Consultant; Self; AstraZeneca, Bayer AG, Boehringer Ingelheim Pharmaceuticals, Inc., Medscape Education, Otsuka America Pharmaceutical, Inc., Quest Diagnostics, Reata Pharmaceuticals, Inc., Relypsa Inc. Funding AstraZeneca

Ultra-processed foods and type-2 diabetes risk in the SUN project: A prospective cohort study

The association between ultra-processed foods (UPF) consumption and the risk of type 2 diabetes (T2D) has not been much explored. We aimed to evaluate the association between consumption of UPF and the incidence of T2D. We assessed 20,060 participants (61.5% women) from the SUN project (Seguimiento Universidad de Navarra) followed-up every two years (median follow-up 12 years). Food and drink consumption were evaluated through a validated 136-item food frequency questionnaire and grouped according to their degree of processing by the NOVA classification. Participants were categorized into tertiles of UPF consumption adjusted for total energy intake. We fitted Cox proportional hazard models with repeated dietary measurements at baseline and updating information on food consumption after 10 years of follow-up to minimise the potential effect of diet variation. During 215,149 person-years of follow-up, 175 new-onset T2D cases were confirmed. Participants in the highest baseline tertile (high consumption) of UPF consumption had a higher risk of T2D as compared to those in the lowest tertile (multivariable adjusted hazard ratio [HR] 1.53, 95% confidence interval [CI]: 1.06 to 2.22) with a significant dose-response relationship (p for linear trend=0.024). The multivariable adjusted HR using repeated measurements of UPF intake was 1.65 (95% CI 1.14-2.38) when comparing extreme tertiles. In a highly-educated Mediterranean cohort with a low absolute risk, a higher intake of UPF was independently associated with a higher risk for T2D. These results provide more evidence to encourage the limitation of UPF consumption to reduce the population burden of T2D.

Rationale for the use of metformin and exercise to counteract statin‐associated side effects

Statins are the most widely prescribed drugs for lowering low-density lipoprotein cholesterol (LDL-C) and reducing cardiovascular morbidity and mortality. They are usually well-tolerated, but have two main safety concerns: statin-associated muscle symptoms (SAMS) and new-onset type 2 diabetes (NOD). A PubMed search was carried out using the following key words were used: statins, statin-associated muscle symptoms, statin myalgia, statin-associated diabetes, metformin and statins, exercise and statins. Mitochondrial damage and muscle atrophy are likely the central mechanisms producing SAMS, whereas decreased glucose transport, fatty acid oxidation and insulin secretion are likely involved in the development of NOD. Metformin and exercise training share many pathways that could potentially contrast SAMS and NOD. Clinical evidence also supports the combination of statins with metformin and exercise. This combination appears attractive both from a clinical and an economical viewpoint, since all three therapies are highly cost-effective and their combination could result in diabetes and cardiovascular disease prevention.

New-onset type 2 diabetes in heart failure: impact of heart failure and death versus ischemic events – a Danish nationwide cohort study

Abstract Background Development of type 2 diabetes (T2D) is common in patients with heart failure (HF), but knowledge of future cardiovascular events is lacking. Purpose We compared risk of heart failure hospitalization (HFH) or death versus ischemic events in real-life HF patients with new-onset T2D, prevalent T2D and no T2D. Methods Using the Danish nationwide registers, we identified all patients with HF between 1998–2016. The patients were separated in two different HF cohorts based on the status of T2D. One cohort consisted of HF patients with either prevalent or absent T2D at the time of HF diagnosis. The other cohort consisted of HF patients, who developed new-onset T2D, included at time of diagnosis. The two HF cohorts were analyzed separately. Outcomes for both cohorts were analyzed as time-to-first event as either an ischemic event (i.e. composite outcome of fatal and non-fatal myocardial infarction, stroke, and peripheral artery disease), HFH, or event-free death (not related to HFH or the ischemic event). For each cohort, we estimated the five-year absolute risk of ischemic event, HFH and event-free death, along with five-year risk ratio of HFH or event-free death versus ischemic events. Effects among subgroups were investigated by stratifying both cohorts based on age, gender and comorbidities present at inclusion. Results A total of 139,264 HF patients were included between 1998 and 2016, of which 29,078 (21%) patients had prevalent T2D at baseline. A total of 11,819 (8%) developed new-onset T2D and were included in the second cohort. The median duration of time between HF diagnosis and new-onset T2D diagnosis was: 4.1 years (IQR:1.5; 5.8). The absolute five-year risk of an ischemic event in patients with new-onset T2D, prevalent T2D and no T2D was: 17.9% (95% confidence interval (CI): 17.2; 18.6), 26.1% (95% CI: 25.6; 26.7), and 18.8% (95% CI:18.6; 19.0). Corresponding estimates for HFH were: 31.5% (95% CI: 30.6; 32.3), 33.6% (95% CI: 33.0; 34.2), and 30,7% (95% CI: 30.5; 31.0). The absolute five-year risk of event-free death among patients with new-onset T2D, prevalent T2D and no T2D was: 20.9% (95% CI: 20.2; 21.7), 18.9% (95% CI:18.4; 19.3), and 18.6% (95% CI: 18.4; 18.8) (see Figure). The five-year risk ratio of experiencing HFH or event-free death versus an ischemic event was: 2.9 (95% CI: 2.8; 3.1), 2.0 (95% CI:2.0; 2.1), and 2.6 (95% CI: 2.6; 2.7) for patients with new-onset T2D, prevalent T2D and no T2D, respectively. Similar results of absolute and relative risk were present across all subgroups. Conclusion In our population of HF patients, 8% developed new-onset diabetes. Development of T2D in patients with HF increases the risk of HFH and mortality three-fold. The increased risk of new-onset T2D is higher than the importance of prevalent T2D in patients with HF. Funding Acknowledgement Type of funding source: None

LDL Cholesterol and Dysglycemia: an Intriguing Physiological Relationship

It is an unexpected but pleasant surprise when new clinical relationships are identified, and one of the most interesting is the inverse association between LDL cholesterol (LDLc) and type 2 diabetes (T2D) risk. Evidence from both randomized clinical trials and genetic studies indicates that regulation of plasma lipids and glycemic control is more closely linked than previously assumed, yet in a counterintuitive, one could even say paradoxical, manner. Meta-analyses of randomized clinical trials have found that drugs designed to reduce LDLc, in addition to their hypolipidemic and cardioprotective effects, appear to also modestly increase T2D risk (1,2). Furthermore, naturally occurring genetic variation in molecular targets of LDLc-lowering therapy, such as genetic variants in or near HMGCR , NCP1L1 , and PCSK9 genes, have been found to be associated with impaired insulin sensitivity and new-onset T2D, particularly among people with impaired fasting glucose levels (3–6). Further supporting that this is a fundamental biologic relationship, individuals with familial hypercholesterolemia, a dominantly inherited disease characterized by high plasma levels of LDLc due to genetic mutations in LDLR or APOB genes, appear to have a lower prevalence of diabetes than unaffected relatives (7). However, not all genetic variants that raise LDLc have similar effects on glycemic control (8). This suggests that the mechanism by which LDLc is reduced might have relevant implications for glycemic deterioration and reveal potential important mechanisms for diabetogenesis in general. As reported in this issue of Diabetes , Klimentidis et al. (9) conducted a study to examine the phenotypic and genotypic relationships between LDLc …

271-OR: ADA Presidents’ Select Abstract: Effect of Dapagliflozin on the Incidence of Diabetes: A Prespecified Exploratory Analysis from DAPA-HF

In DAPA-HF, the SGLT2 inhibitor (i) dapagliflozin (dapa) reduced worsening heart failure (HF) and cardiovascular death in 4744 patients (pts) with HF and reduced ejection fraction (HFrEF.) Only 45% had type 2 diabetes (T2D) at baseline. We evaluated whether dapa reduced the incidence of diabetes in the 55% of pts without T2D. Pts were randomized to dapa 10 mg or placebo and followed for a median of 18.2 months. New-onset T2D was defined as A1c ≥6.5% measured at 2 consecutive study visits post-randomization or investigator-reported new T2D (with the initiation of a glucose-lowering agent.) The effect of dapa on incident T2D was assessed using a Cox proportional hazards model and confirmed with a Fine and Gray competing risk model to account for mortality. Of the 2605 non-T2D pts at baseline, 157 developed T2D on trial, 150 (95.5%) of whom had prediabetes (A1c 5.7-6.4%) (136 [86.6%] using the more restrictive 6.0-6.4% criterion.) Those with incident T2D had a higher mean baseline A1c (6.2 ±0.3 vs. 5.7 ±0.4%; p&amp;lt;0.001), greater BMI (28.5 ±5.9 vs. 27.1 ±5.7 kg/m2; p=0.003), and lower eGFR (61.5 ±17.4 vs. 68.2 ±19.3 ml/min/1.73 m2; p&amp;lt;0.001) than those who remained nondiabetic. Dapa reduced new-onset diabetes by 32%: placebo 93/1307 (7.1%) vs. dapa 64/1298 (4.9%); HR 0.68 (95% CI, 0.50-0.94; p=0.019) (Cox.) Results were virtually identical using the Fine and Gray model. Diabetes prevention may be another benefit of dapagliflozin. Disclosure S.E. Inzucchi: Advisory Panel; Self; AstraZeneca, Boehringer Ingelheim International GmbH, Lexicon Pharmaceuticals, Inc., Novo Nordisk A/S, Sanofi. Consultant; Self; Abbott, Merck &amp; Co., Inc., vTv Therapeutics. K. Docherty: Speaker’s Bureau; Self; Eli Lilly and Company. Other Relationship; Self; AstraZeneca. L. Kober: Speaker’s Bureau; Self; AstraZeneca, Novartis AG. Other Relationship; Self; AstraZeneca. M.N. Kosiborod: Consultant; Self; Amarin Corporation, Amgen, Applied Therapeutics, AstraZeneca, Bayer AG, Boehringer Ingelheim Pharmaceuticals, Inc., Eisai Inc., Eli Lilly and Company, GlaxoSmithKline plc., Glytec, Intarcia Therapeutics, Janssen Scientific Affairs, LLC., Merck &amp; Co., Inc., Novartis Pharmaceuticals Corporation, Novo Nordisk Inc., Sanofi US, Vifor Pharma Group. Research Support; Self; AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc. F. Martinez: Board Member; Self; AstraZeneca, Novartis Pharmaceuticals Corporation. P. Ponikowski: None. M.S. Sabatine: Consultant; Self; Amgen, AstraZeneca, Bristol-Myers Squibb, CVS Caremark, DalCor Pharmaceuticals, Dyrnamix Inc., Esperion Therapeutics, Inc., IFM Therapeutics, Intarcia Therapeutics, Ionis Pharmaceuticals, Inc., Medicines Company, MedImmune, Merck &amp; Co., Inc. Research Support; Self; Amgen, AstraZeneca, Bayer U.S., Daiichi Sankyo, Eisai Inc., Intarcia Therapeutics, Janssen Research and Development, Medicines Company, MedImmune, Merck &amp; Co., Inc., Novartis AG, Pfizer Inc., Quark Pharmaceuticals. S. Solomon: Consultant; Self; AstraZeneca, Theracos, Inc. Research Support; Self; AstraZeneca, Theracos, Inc. J. Belohlavek: Advisory Panel; Self; AstraZeneca, Boehringer Ingelheim International GmbH. M. Böhm: Speaker’s Bureau; Self; Abbott, Amgen, AstraZeneca, Bayer AG, Boehringer Ingelheim Pharmaceuticals, Inc., Bristol-Myers Squibb, Medtronic, Novartis Pharmaceuticals Corporation, Servier, Vifor Pharma Group. C. Chiang: Speaker’s Bureau; Self; AstraZeneca, Boehringer Ingelheim International GmbH, Daiichi Sankyo, Merck Sharp &amp; Dohme Corp., Novartis AG, Pfizer Inc., Sanofi. R.A. de Boer: Speaker’s Bureau; Self; Abbott, AstraZeneca, Novartis AG, Roche Diagnostics France. M. Diez: Other Relationship; Self; AstraZeneca. A. Dukat: None. C.E.A. Ljungman: Advisory Panel; Self; AstraZeneca, Novartis AG, Pfizer Foundation. Stock/Shareholder; Self; AstraZeneca. Other Relationship; Self; AstraZeneca, Novartis AG. S. Verma: Advisory Panel; Self; Amgen, AstraZeneca, Bayer AG, Boehringer Ingelheim (Canada) Ltd., Boehringer Ingelheim Pharmaceuticals, Inc., Eli Lilly and Company, Janssen Pharmaceuticals, Inc., Merck &amp; Co., Inc., Novo Nordisk A/S, Sanofi. Research Support; Self; Amgen, AstraZeneca, Bayer AG, Boehringer Ingelheim International GmbH, Bristol-Myers Squibb, Janssen Pharmaceuticals, Inc., Merck &amp; Co., Inc. Other Relationship; Self; AstraZeneca, AstraZeneca, Bayer AG, Boehringer Ingelheim (Canada) Ltd., Boehringer Ingelheim International GmbH, Eli Lilly and Company, Eli Lilly and Company, EOCI Pharmacomm, Janssen Pharmaceuticals, Inc., Merck &amp; Co., Inc., Novartis Pharmaceuticals Canada Inc., Novo Nordisk A/S, Novo Nordisk A/S, Sanofi, Sanofi, Sun Pharmaceuticals, Toronto Knowledge Translation Working Group. D.L. DeMets: Consultant; Self; Actelion Pharmaceuticals US, Inc., AstraZeneca, Boston Scientific, Bristol-Myers Squibb, DalCor Pharmaceuticals, Intercept Pharmaceuticals, Inc., Medtronic. O. Bengtsson: Employee; Self; AstraZeneca. A. Langkilde: Employee; Self; AstraZeneca. Stock/Shareholder; Self; AstraZeneca. M. Sjöstrand: Employee; Self; AstraZeneca. P. Jhund: Advisory Panel; Self; Cytokinetics Inc. Research Support; Self; Boehringer Ingelheim International GmbH. Speaker’s Bureau; Self; Novartis AG. Other Relationship; Self; AstraZeneca. J.J. McMurray: Other Relationship; Self; AbbVie Inc., Alnylam Pharmaceuticals, Amgen, AstraZeneca, Bayer Healthcare Pharmaceuticals Inc., Bristol-Myers Squibb, Cardurion, GlaxoSmithKline plc., Novartis Pharmaceuticals Corporation, Theracos, Inc. Funding AstraZeneca

Risk of heart failure in type 2 diabetes complicated by incident ischaemic heart disease and end-stage renal disease.

To evaluate the risk of heart failure (HF) in patients with type 2 diabetes (T2D) complicated by development of intercurrent ischaemic heart disease (IHD), end-stage renal disease (ESRD), or both, compared to patients with T2D and no IHD and ESRD. From Danish nationwide registries, we identified all patients with new-onset T2D with no history of HF between 1998 and 2015. Landmark analyses were used to estimate the 5-year absolute risk of HF at several follow-up times, and accounted for the occurrence of IHD and ESRD, identified before HF. The Aalen-Johansen estimator was used to account for censoring and the competing risk of death. A total of 285 024 patients with new-onset T2D were included. During follow-up, 19 960 developed incident HF. Among patients with T2D free of HF 5 years after T2D diagnosis, patients without IHD and ESRD had the lowest 5-year risk of HF [4.02%; 95% confidence interval (CI) 3.90-4.15), those with T2D complicated by IHD [11.51%; relative risk (RR) 2.86; 95% CI 2.72-3.02; P < 0.001] or ESRD (8.11%; RR 2.02; 95% CI 1.39-2.93; P < 0.001) an intermediate risk, and those with both IHD and ESRD (19.76%; RR 4.92; 95% CI 3.43-7.05; P < 0.001) the highest risk. Patients with T2D complicated by development of intercurrent IHD, ESRD, or both, showed a significantly higher risk of HF compared to those who did not develop IHD and ESRD. An effective way to delay or prevent the development of HF in patients with T2D may be to prevent IHD and ESRD.

Determining the Prevalence of Primary Aldosteronism in Patients With New-Onset Type 2 Diabetes and Hypertension

Despite a high prevalence of hypertension in diabetes and close relationship between primary aldosteronism (PA) and glucose metabolism, few study concerns the prevalence of PA in diabetes with hypertension. This study aimed to detect the prevalence of PA in patients with new-onset type 2 diabetes (T2D) and hypertension and to explore the association between PA and diabetes. A total of 256 outpatients with new-onset T2D and hypertension were screened for PA. Plasma aldosterone concentration (PAC), plasma renin activity (PRA) were measured. Patients with an aldosterone renin activity ratio (ARR) ≥ 30 ng/dL/ng/mL/h and PAC ≥ 15 ng/dL underwent confirmatory captopril challenge test (CCT) for PA. The diagnostic criteria for PA were, after CCT, (1) PAC decreased < 30%, (2) ARR maintained ≥ 30 ng/dL/ng/mL/h, and (3) PAC was ≥ 11 ng/dL. Of 256 consecutive patients, 99 (39%) were positive for the screening test, and 49 (19%) were diagnosed with PA. Compared with those in groups A (screening test -) and B (screening test +, CCT -), patients in group C (diagnosed with PA) had a higher percentage of systolic blood pressure of ≥ 160 mmHg, less family history of hypertension, and lower serum potassium. Patients in group B and C had higher PAC and ARR levels, but lower PRA than those in group A. Homeostatic model assessment for insulin resistance (HOMA-IR) was positively associated with PAC level among the diabetic patients. The prevalence of PA in new-onset T2D patients with hypertension is at least 19%. Higher aldosterone may be related with insulin resistance in patients with diabetes.

Association Between Psychological Distress and Stress-Related Symptoms and Increased Risk of Type 2 Diabetes in Male Individuals: An Observational Study.

BackgroundThis study evaluated the association between psychological distress and development of type 2 diabetes (T2D) among male individuals in the workplace.MethodsThis observational cohort study enrolled 6,326 male participants aged 18 - 65 years (mean age 47.4 ± 9.5 years, body mass index 23.4 ± 3.4 kg/m2, hemoglobin A1c 5.5±0.3%), who received annual health checkups from April 2016 to March 2017. Those who had a hemoglobin A1c level ≥ 6.5%, previous history of diabetes, or used diabetes medication were excluded from the analysis. Psychological distress was measured using the Brief Job Stress Questionnaire. Multivariate Cox proportional hazard regression models were used to estimate the development of T2D in relation to psychological distress and stress-related symptoms. The calculated hazard ratio (aHR) was adjusted for age, body mass index, and hemoglobin A1c level.ResultsDuring a mean follow-up period of 1.9 years, the incidence rate of new-onset T2D was 2.0%. Baseline psychological parameters did not differ between participants with or without new-onset T2D. Depression was associated with an increased risk of T2D (aHR = 1.54, 95% confidence interval (CI): 1.07 - 2.22), whereas vigor, irritation, fatigue, and anxiety were not. Moreover, inability to handle work (aHR = 2.18, 95% CI: 1.14 - 4.19), sadness (aHR = 1.93, 95% CI: 1.14 - 3.26), headache (aHR = 1.98, 95% CI: 1.18 - 3.34), shoulder stiffness (aHR = 1.56, 95% CI: 1.10 - 2.23), and constipation/diarrhea (aHR = 1.71, 95% CI: 1.04 - 2.80) were associated with T2D incidence.ConclusionsDepression and stress-related symptoms were associated with an increased risk of T2D. Industrial physicians and health care providers should evaluate these factors during health checkups to lower the T2D incidence in this population

High plasma glutamate and low glutamine-to-glutamate ratio are associated with type 2 diabetes: Case-cohort study within the PREDIMED trial

Background and aimsGlutamate, glutamine are involved in energy metabolism, and have been related to cardiometabolic disorders. However, their roles in the development of type-2 diabetes (T2D) remain unclear. The aim of this study was to examine the effects of Mediterranean diet on associations between glutamine, glutamate, glutamine-to-glutamate ratio, and risk of new-onset T2D in a Spanish population at high risk for cardiovascular disease (CVD). Methods and resultsThe present study was built within the PREDIMED trial using a case-cohort design including 892 participants with 251 incident T2D cases and 641 non-cases. Participants (mean age 66.3 years; female 62.8%) were non diabetic and at high risk for CVD at baseline. Plasma levels of glutamine and glutamate were measured at baseline and after 1-year of intervention. Higher glutamate levels at baseline were associated with increased risk of T2D with a hazard ratio (HR) of 2.78 (95% CI, 1.43–5.41, P for trend = 0.0002). In contrast, baseline levels of glutamine (HR: 0.64, 95% CI, 0.36–1.12; P for trend = 0.04) and glutamine-to-glutamate ratio (HR: 0.31, 95% CI, 0.16–0.57; P for trend = 0.0001) were inversely associated with T2D risk when comparing extreme quartiles. The two Mediterranean diets (MedDiet + EVOO and MedDiet + mixed nuts) did not alter levels of glutamine and glutamate after intervention for 1 year. However, MedDiet mitigated the positive association between higher baseline plasma glutamate and T2D risk (P for interaction = 0.01). ConclusionHigher levels of glutamate and lower levels of glutamine were associated with increased risk of T2D in a Spanish population at high risk for CVD. Mediterranean diet might mitigate the association between the imbalance of glutamine and glutamate and T2D risk.This trial is registered at http://www.controlled-trials.com, ISRCTN35739639.

Association Between Topical Corticosteroid Use and Type 2 Diabetes in Two European Population-Based Adult Cohorts

Topical corticosteroids (CSs) are commonly used to treat inflammatory skin conditions including eczema and psoriasis. Although topical CS package inserts describe hyperglycemia and glycosuria as adverse drug reactions, it is unclear whether topical CS use in real life is also associated with an increased risk of type 2 diabetes (T2D). Two matched case-control studies and one cohort study were conducted using routinely collected health care data from Denmark and the U.K. A total of 115,218 and 54,944 adults were identified as case subjects with new-onset T2D in the Danish and U.K. case-control study, respectively. For the Danish cohort study, 2,689,473 adults were included. The main exposure was topical CSs, and the outcome was incident T2D. Topical CS was significantly associated with T2D in the Danish (adjusted odds ratio [OR] 1.25 [95% CI 1.23-1.28]) and U.K. (adjusted OR 1.27 [95% CI 1.23-1.31]) case-control studies. Individuals who were exposed to topical CSs had significantly increased risk of incident T2D (adjusted hazard ratio 1.27 [95% CI 1.26-1.29]). We observed significant dose-response relationships between T2D and increasing potency of topical CSs in the two Danish studies. The results were consistent across all sensitivity analyses. We found a positive association between topical CS prescribing and incident T2D in Danish and U.K. adult populations. Clinicians should be cognizant of possible diabetogenic effects of potent topical CSs.

A Peripheral Blood DNA Methylation Signature of Hepatic Fat Reveals a Potential Causal Pathway for Nonalcoholic Fatty Liver Disease.

Nonalcoholic fatty liver disease (NAFLD) is a risk factor for type 2 diabetes (T2D). We aimed to identify the peripheral blood DNA methylation signature of hepatic fat. We conducted epigenome-wide association studies of hepatic fat in 3,400 European ancestry (EA) participants and in 401 Hispanic ancestry and 724 African ancestry participants from four population-based cohort studies. Hepatic fat was measured using computed tomography or ultrasound imaging and DNA methylation was assessed at >400,000 cytosine-guanine dinucleotides (CpGs) in whole blood or CD14+ monocytes using a commercial array. We identified 22 CpGs associated with hepatic fat in EA participants at a false discovery rate <0.05 (corresponding P = 6.9 × 10-6) with replication at Bonferroni-corrected P < 8.6 × 10-4 Mendelian randomization analyses supported the association of hypomethylation of cg08309687 (LINC00649) with NAFLD (P = 2.5 × 10-4). Hypomethylation of the same CpG was also associated with risk for new-onset T2D (P = 0.005). Our study demonstrates that a peripheral blood-derived DNA methylation signature is robustly associated with hepatic fat accumulation. The hepatic fat-associated CpGs may represent attractive biomarkers for T2D. Future studies are warranted to explore mechanisms and to examine DNA methylation signatures of NAFLD across racial/ethnic groups.

Elevated Medium-Chain Acylcarnitines Are Associated With Gestational Diabetes Mellitus and Early Progression to Type 2 Diabetes and Induce Pancreatic β-Cell Dysfunction.

Specific circulating metabolites have emerged as important risk factors for the development of diabetes. The acylcarnitines (acylCs) are a family of metabolites known to be elevated in type 2 diabetes (T2D) and linked to peripheral insulin resistance. However, the effect of acylCs on pancreatic β-cell function is not well understood. Here, we profiled circulating acylCs in two diabetes cohorts: 1) women with gestational diabetes mellitus (GDM) and 2) women with recent GDM who later developed impaired glucose tolerance (IGT), new-onset T2D, or returned to normoglycemia within a 2-year follow-up period. We observed a specific elevation in serum medium-chain (M)-acylCs, particularly hexanoyl- and octanoylcarnitine, among women with GDM and individuals with T2D without alteration in long-chain acylCs. Mice treated with M-acylCs exhibited glucose intolerance, attributed to impaired insulin secretion. Murine and human islets exposed to elevated levels of M-acylCs developed defects in glucose-stimulated insulin secretion and this was directly linked to reduced mitochondrial respiratory capacity and subsequent ability to couple glucose metabolism to insulin secretion. In conclusion, our study reveals that an elevation in circulating M-acylCs is associated with GDM and early stages of T2D onset and that this elevation directly impairs β-cell function.

Changes in Characteristics and Treatment Patterns of Patients with Newly Diagnosed Type 2 Diabetes in a Large United States Integrated Health System between 2008 and 2013.

To assess changes in the clinical characteristics and treatment patterns of patients with newly diagnosed type 2 diabetes (T2D), the electronic health record system at Cleveland Clinic was used to create cross-sectional summaries of all patients with new-onset T2D in 2008 and 2013. Differences between the 2008 and 2013 data sets were assessed after adjusting for age, gender, race, and income. Approximately one-third of patients with newly diagnosed T2D in 2008 and 2013 had an A1C ≥8%, suggesting the continued presence of a delayed recognition of the disease. Patients with newly diagnosed T2D in 2008 were older than those in 2013. Hypertension, cardiovascular disease, and neuropathy were highly prevalent among patients diagnosed with T2D. The prevalence of neuropathy, cerebrovascular disease, and peripheral vascular disease increased from 2008 to 2013. Metformin was the most commonly prescribed antidiabetic medication. Sulfonylurea usage remained unchanged, while use of thiazolidinediones decreased considerably.