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Background: Plasma growth differentiation factor 15 (GDF15) and N-terminal proB-type natriuretic peptide (NT-proBNP) are cardiovascular biomarkers that associate with a range of diseases. Epigenetic scores (EpiScores) for GDF15 and NT-proBNP may provide new routes for risk stratification., Results: In the Generation Scotland cohort (N ≥ 16,963), GDF15 levels were associated with incident dementia, ischaemic stroke and type 2 diabetes, whereas NT-proBNP levels were associated with incident ischaemic heart disease, ischaemic stroke and type 2 diabetes (all P FDR  < 0.05). Bayesian epigenome-wide association studies (EWAS) identified 12 and 4 DNA methylation (DNAm) CpG sites associated (Posterior Inclusion Probability [PIP] > 95%) with levels of GDF15 and NT-proBNP, respectively. EpiScores for GDF15 and NT-proBNP were trained in a subset of the population. The GDF15 EpiScore replicated protein associations with incident dementia, type 2 diabetes and ischaemic stroke in the Generation Scotland test set (hazard ratios (HR) range 1.36-1.41, P FDR  < 0.05). The EpiScore for NT-proBNP replicated the protein association with type 2 diabetes, but failed to replicate an association with ischaemic stroke. EpiScores explained comparable variance in protein levels across both the Generation Scotland test set and the external LBC1936 test cohort (R 2 range of 5.7-12.2%). In LBC1936, both EpiScores were associated with indicators of poorer brain health. Neither EpiScore was associated with incident dementia in the LBC1936 population., Conclusions: EpiScores for serum levels of GDF15 and Nt-proBNP associate with body and brain health traits. These EpiScores are provided as potential tools for disease risk stratification., (© 2024. The Author(s).)

Objective: In this study we examine whether hospitalized coronavirus disease 2019 (COVID-19) pneumonia increases long-term cardiovascular mortality more than other hospitalized pneumonias in people with type 2 diabetes and aim to quantify the relative cardiovascular disease (CVD) mortality risks associated with COVID-19 versus non-COVID-19 pneumonia., Research Design and Methods: With use of the SCI-Diabetes register, two cohorts were identified: individuals with type 2 diabetes in 2016 and at the 2020 pandemic onset. Hospital and death records were linked for determination of pneumonia exposure and CVD deaths. Poisson regression estimated rate ratios (RRs) for CVD death associated with both pneumonia types, with adjustment for confounders. Median follow-up durations were 1,461 days (2016 cohort) and 700 days (2020 cohort)., Results: The adjusted RR for CVD death following non-COVID-19 pneumonia was 5.51 (95% CI 5.31-5.71) prepandemic and 7.3 (6.86-7.76) during the pandemic. For COVID-19 pneumonia, the RR was 9.13 (8.55-9.75). Beyond 30 days post pneumonia, the RRs converged, to 4.24 (3.90-4.60) for non-COVID-19 and 3.35 (3.00-3.74) for COVID-19 pneumonia, consistent even with exclusion of prior CVD cases., Conclusions: Hospitalized pneumonia, irrespective of causal agent, marks an increased risk for CVD death immediately and over the long-term. COVID-19 pneumonia poses a higher CVD death risk than other pneumonias in the short-term, but this distinction diminishes over time. These insights underscore the need for including pneumonia in CVD risk assessments, with particular attention to the acute impact of COVID-19 pneumonia., (© 2024 by the American Diabetes Association.)

Competing Interests: TTvS has received research operating funds from the Dutch Diabetes Foundation (fellowship grant number 2021.81.004) and the European Foundation for the Study of Diabetes. JAL has received research operating funds from the National Institutes of Health (NIH); received royalties or licenses from Springer; acted as a consultant or speaker and received honoraria from Merck KGaA; received support for attending meetings and/or travel from Wolters Kluwer and Merck KGaA; participated on a data safety monitoring board for an NIH sleep study; has an unpaid role as vice-president of the board of ARC Fort Washington Senior Center; has received drugs for an NIH-funded clinical trial from EMD Serono; and received a stipend from Wolters Kluwer for a role as Editor in Chief of the journal Alzheimer's Disease and Associated Disorders. MS has acted as a consultant or speaker and received honoraria from Astellas and Eli Lilly. TC-Y has received research operating funds from Medtronic, Merck Sharp & Dohme (MSD), and Novo Nordisk and has acted as a consultant or speaker and received honoraria from Sanofi, Novo Nordisk, Geffen Medical, AstraZeneca, Boehringer Ingelheim, Eli Lilly, and MSD. HCG has received research operating funds from Sanofi, Eli Lilly, Novo Nordisk, Merck & Co, Abbott Laboratories, Hanmi Pharmaceutical, Boehringer Ingelheim, and Pfizer and has acted as a consultant or speaker and received honoraria from Pfizer, Carbon Brand, Bioling, Sanofi, Eli Lilly, AstraZeneca, Novo Nordisk, Zuellig Pharma, DKSH Holding, Jiangsu Hanson Pharma, Boehringer Ingelheim, and Abbott Laboratories. NS has received research operating funds from AstraZeneca, Boeringher Ingelheim, Novartis, and Roche Diagnostics and has acted as a consultant or speaker and received honoraria from Abbott Laboratories, AbbVie, Amgen, AstraZeneca, Boeringher Ingelheim, Eli Lilly, Hanmi Pharmaceutical, Janssen Pharmaceuticals, Menarini Ricerche, Novartis, Novo Nordisk, Pfizer, Roche Diagnostics, and Sanofi. GJB has acted as a consultant or speaker and received honoraria from Nestlé Health Science. LJL declares no competing interests.

The COVID-19 pandemic has caused major disruptions in clinical services for people with chronic long-term conditions. In this narrative review, we assess the indirect impacts of the COVID-19 pandemic on diabetes services globally and the resulting adverse effects on rates of diagnosing, monitoring, and prescribing in people with type 2 diabetes. We summarise potential practical approaches that could address these issues and improve clinical services and outcomes for people living with diabetes during the recovery phase of the pandemic., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: A.M. has received speaker fees from Boehringer Ingelheim, AstraZeneca, Abbot, Lupin, Sanofi, Abbott and Jannsen. C.H. has received funding from the following companies for speaker fees, providing education or attendance at conferences: Boehringer Ingelheim, Astra Zeneca, Lilly, MSD, Takeda, Novo Nordisk, Sanofi, Napp, Abbott and Dexcom. J.V. was the National Clinical Director for Diabetes and Obesity at NHS England. K.K. has acted as a consultant, speaker or received grants for investigator-initiated studies for Astra Zeneca, Bayer, Novartis, Novo Nordisk, Sanofi-Aventis, Eli Lilly and Merck Sharp & Dohme, Boehringer Ingelheim, Oramed Pharmaceuticals, Roche and Applied Therapeutics. K.K. is chair of the ethnicity subgroup of the UK Scientific Advisory Group for Emergencies (SAGE) and is a member of SAGE.KKs research group developed the Diabetes Risk Score recommended by NICE for screening for diabetes. DMA reports research grants from AbbVie, Almirall, Celgene, Eli Lilly, Janssen, Novartis, UCB, and the LEO Foundation. M.R has received consulting fees from Eli Lilly and Company. N.K. has received honoraria from Astra Zeneca, Bayer, Novartis, Novo Nordisk, Sanofi-Aventis, Lilly and Merck Sharp & Dohme, Boehringer Ingelheim and Abbott for speaker meetings and advisory boards. N.M. has received funding from the following companies for providing educational sessions, attendance at conferences and for attending advisory boards: Boehringer Ingelheim, Astra Zeneca, Lilly, MSD, Takeda, Novo Nordisk, Sanofi, Napp, Abbott, MyLan, Roche, Ascensia and Dexcom. N.S. has received grants from AstraZeneca, Boehringer Ingelheim, Novartis, and Roche Diagnostics; and consulting fees from Afimmune, Amgen, AstraZeneca, Boehringer Ingelheim, Eli Lilly and Company, Hanmi Pharmaceuticals, Merck Sharp & Dohme, Novartis, Novo Nordisk, Pfizer, and Sanofi. All other authors declare no conflicts of interest., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

We aimed to unravel the mechanisms connecting adiposity to type 2 diabetes. We used MR-Clust to cluster independent genetic variants associated with body fat percentage (388 variants) and BMI (540 variants) based on their impact on type 2 diabetes. We identified five clusters of adiposity-increasing alleles associated with higher type 2 diabetes risk (unfavorable adiposity) and three clusters associated with lower risk (favorable adiposity). We then characterized each cluster based on various biomarkers, metabolites, and MRI-based measures of fat distribution and muscle quality. Analyzing the metabolic signatures of these clusters revealed two primary mechanisms connecting higher adiposity to reduced type 2 diabetes risk. The first involves higher adiposity in subcutaneous tissues (abdomen and thigh), lower liver fat, improved insulin sensitivity, and decreased risk of cardiometabolic diseases and diabetes complications. The second mechanism is characterized by increased body size and enhanced muscle quality, with no impact on cardiometabolic outcomes. Furthermore, our findings unveil diverse mechanisms linking higher adiposity to higher disease risk, such as cholesterol pathways or inflammation. These results reinforce the existence of adiposity-related mechanisms that may act as protective factors against type 2 diabetes and its complications, especially when accompanied by reduced ectopic liver fat., (© 2024 by the American Diabetes Association.)

Aims: Long-term HbA1c (glycated haemoglobin) variability is associated with micro- and macrovascular complications in Type 2 diabetes (T2D). We explored prospective associations between HbA1c variability and serious infections, and how these vary by HbA1c level, age, sex and ethnicity., Methods: 411,963 T2D patients in England, aged 18-90, alive on 01/01/2015 in the Clinical Practice Research Datalink with ≥ 4 HbA1c measurements during 2011-14. Poisson regression estimated incidence rate ratios (IRRs) for infections requiring hospitalisation during 2015-19 by HbA1c variability score (HVS) and average level, adjusting for confounders, and stratified by age, sex, ethnicity and average level. Attributable risk fractions (AF) were calculated using reference categories for variability (HVS < 20) and average level (42-48 mmol/mol)., Results: An increased infection risk (IRR > 1.2) was seen with even modest variability (HVS ≥ 20, 73 % of T2D patients), but only at higher average levels (≥64 mmol/mol, 27 % patients). Estimated AFs were markedly greater for variability than average level (17.1 % vs. 4.1 %). Associations with variability were greater among older patients, and those with lower HbA1c levels, but not observed among Black ethnicities., Conclusions: HbA1c variability between T2D patients' primary care visits appears to be associated with more serious infections than average level overall. Well-designed trials could test whether these associations are causal., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Aims/hypothesis: A precision medicine approach in type 2 diabetes could enhance targeting specific glucose-lowering therapies to individual patients most likely to benefit. We aimed to use the recently developed Bayesian causal forest (BCF) method to develop and validate an individualised treatment selection algorithm for two major type 2 diabetes drug classes, sodium-glucose cotransporter 2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP1-RA)., Methods: We designed a predictive algorithm using BCF to estimate individual-level conditional average treatment effects for 12-month glycaemic outcome (HbA 1c ) between SGLT2i and GLP1-RA, based on routine clinical features of 46,394 people with type 2 diabetes in primary care in England (Clinical Practice Research Datalink; 27,319 for model development, 19,075 for hold-out validation), with additional external validation in 2252 people with type 2 diabetes from Scotland (SCI-Diabetes [Tayside & Fife]). Differences in glycaemic outcome with GLP1-RA by sex seen in clinical data were replicated in clinical trial data (HARMONY programme: liraglutide [n=389] and albiglutide [n=1682]). As secondary outcomes, we evaluated the impacts of targeting therapy based on glycaemic response on weight change, tolerability and longer-term risk of new-onset microvascular complications, macrovascular complications and adverse kidney events., Results: Model development identified marked heterogeneity in glycaemic response, with 4787 (17.5%) of the development cohort having a predicted HbA 1c benefit >3 mmol/mol (>0.3%) with SGLT2i over GLP1-RA and 5551 (20.3%) having a predicted HbA 1c benefit >3 mmol/mol with GLP1-RA over SGLT2i. Calibration was good in hold-back validation, and external validation in an independent Scottish dataset identified clear differences in glycaemic outcomes between those predicted to benefit from each therapy. Sex, with women markedly more responsive to GLP1-RA, was identified as a major treatment effect modifier in both the UK observational datasets and in clinical trial data: HARMONY-7 liraglutide (GLP1-RA): 4.4 mmol/mol (95% credible interval [95% CrI] 2.2, 6.3) (0.4% [95% CrI 0.2, 0.6]) greater response in women than men. Targeting the two therapies based on predicted glycaemic response was also associated with improvements in short-term tolerability and long-term risk of new-onset microvascular complications., Conclusions/interpretation: Precision medicine approaches can facilitate effective individualised treatment choice between SGLT2i and GLP1-RA therapies, and the use of routinely collected clinical features for treatment selection could support low-cost deployment in many countries., (© 2024. The Author(s).)

Background: Circulating concentrations of vascular endothelial growth factor (VEGF) family members may be abnormally elevated in type 2 diabetes (T2D). The roles of placental growth factor (PlGF), soluble fms-like tyrosine kinase-1 (sFLT-1), and VEGF-A in cardio-renal complications of T2D are not established., Method: The 2602 individuals with diabetic kidney disease (DKD) from the Canagliflozin and Renal Events in Diabetes with Established Nephropathy Clinical Evaluation trial were randomized to receive canagliflozin or placebo and followed for incident cardio-renal outcomes. PlGF, sFLT-1, and VEGF-A were measured at baseline, year 1, and year 3. Primary outcome was a composite of end-stage kidney disease, doubling of the serum creatinine, or renal/cardiovascular death. Cox proportional hazard regression was used to investigate the association between biomarkers with adverse clinical events., Results: At baseline, individuals with higher PlGF levels had more prevalent cardiovascular disease compared to those with lower values. Treatment with canagliflozin did not meaningfully change PlGF, sFLT-1, and VEGF-A concentrations at years 1 and 3. In a multivariable model, 1 unit increases in baseline log PlGF (hazard ratio [HR]: 1.76, 95% confidence interval [CI]: 1.23, 2.54, P-value = .002), sFLT-1 (HR: 3.34, [95% CI: 1.71, 6.52], P-value < .001), and PlGF/sFLT-1 ratio (HR: 4.83, [95% CI: 0.86, 27.01], P-value = .07) were associated with primary composite outcome, while 1 unit increase in log VEGF-A did not increase the risk of primary outcome (HR: 0.96 [95% CI: 0.81, 1.07]). Change by 1 year of each biomarker was also assessed: HR (95% CI) of primary composite outcome was 2.45 (1.70, 3.54) for 1 unit increase in 1-year concentration of log PlGF, 4.19 (2.18, 8.03) for 1 unit increase in 1-year concentration of log sFLT-1, and 21.08 (3.79, 117.4) for 1 unit increase in 1-year concentration of log PlGF/sFLT-1. Increase in 1-year concentrations of log VEGF-A was not associated with primary composite outcome (HR: 1.08, [95% CI: 0.93, 1.24], P-value = .30)., Conclusions: People with T2D and DKD with elevated levels of PlGF, sFLT-1, and PlGF/sFLT-1 ratio were at a higher risk for cardiorenal events. Canagliflozin did not meaningfully decrease concentrations of PlGF, sFLT-1, and VEGF-A., Clinical Trial: CREDENCE, https://clinicaltrials.gov/ct2/show/NCT02065791., Competing Interests: Disclosures Dr. Januzzi is a trustee of the American College of Cardiology; is a board member of Imbria Pharmaceuticals; is a director at Jana Care; has received grant support from Abbott, Applied Therapeutics, HeartFlow, Innolife, and Roche Diagnostics; has received consulting income from Abbott, Beckman, Boehringer Ingelheim, Bristol Myers Squibb, Janssen, Merck, Novartis, Pfizer, Roche Diagnostics, and Siemens; and participates in clinical endpoint committees/data safety monitoring boards for Abbott, AbbVie, CVRx, Intercept, and Takeda. Drs. Tefera, Yavin, and Hansen are full-time employees of Jansen Research & Development, LLC. All other authors report no relevant disclosures., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: In DiRECT, a randomised controlled effectiveness trial, weight management intervention after 2 years resulted in mean weight loss of 7·6 kg, with 36% of participants in remission of type 2 diabetes. Of 36 in the intervention group who maintained over 10 kg weight loss at 2 years, 29 (81%) were in remission. Continued low-intensity dietary support was then offered up to 5 years from baseline to intervention participants, aiming to maintain weight loss and gain clinical benefits. This extension study was designed to provide observed outcomes at 5 years., Methods: The DiRECT trial took place in primary care practices in the UK. Participants were individuals aged 20-65 years who had less than 6 years' duration of type 2 diabetes, a BMI greater than 27 kg/m 2 , and were not on insulin. The intervention consisted of withdrawal of antidiabetic and antihypertensive drugs, total diet replacement (825-853 kcal per day formula diet for 12-20 weeks), stepped food reintroduction (2-8 weeks), and then structured support for weight-loss maintenance. After sharing the 2-year results with all participants, UK National Health Service data were collected annually until year 5 from remaining intervention participants who received low-intensity dietary support, intervention withdrawals, and the original randomly allocated groups. The primary outcome was remission of type 2 diabetes; having established in the DiRECT trial that sustained weight loss was the dominant driver of remission, this was assumed for the Extension study. The trial is registered with the ISRCTN registry, number 03267836., Findings: Between July 25, 2014, and Aug 5, 2016, 149 participants were randomly assigned to the intervention group and 149 were assigned to the control group in the original DiRECT study. After 2 years, all intervention participants still in the trial (101 [68%] of 149) were approached to receive low-intensity support for a further 3 years. 95 (94%) of 101 were able to continue and consented and were allocated to the DiRECT extension group. 54 participants were allocated to the non-extension group, where intervention was withdrawn. At 5 years, DiRECT extension participants (n=85) lost an average of 6·1 kg, with 11 (13%) of 85 in remission. Compared with the non-extension group, DiRECT extension participants had more visits with HbA 1c <48 mmol/mol (<6·5%; 36% vs 17%, p=0·0004), without glucose-lowering medication (62% vs 30%, p<0·0001), and in remission (34% vs 12%, p<0·0001). Original control participants (n=149) had mean weight loss 4·6 kg (n=82), and 5 (5%) of 93 were in remission. Compared with control participants, original intervention participants had more visits with weight more than 5% below baseline (61% vs 29%, p<0·0001), HbA 1c below 48 mmol/mol (29% vs 15%, p=0·0002), without antidiabetic medication (51% vs 16%, p<0·0001), and in remission (27% vs 4%, p<0·0001). Of those in remission at year 2, 26% remained in remission at 5 years. Serious adverse events in the original intervention group (4·8 events per 100 patient-years) were under half those in the control group (10·2 per 100 patient-years, p=0·0080)., Interpretation: The extended DiRECT intervention was associated with greater aggregated and absolute weight loss, and suggested improved health status over 5 years., Funding: Diabetes UK., Competing Interests: Declaration of interests MEJL reports grants and personal fees unconnected with the present work from Counterweight, Novo Nordisk, Novartis, and Eli Lilly. RT has received lecture fees from Novartis and Eli Lilly, and has served on an advisory panel for Wilmington Healthcare. NB reports employment and shareholding in Counterweight, and PhD fees funded by Cambridge Weight Plan (outside the submitted work). GT received funding for PhD fees and conference attendance from Cambridge Weight Plan outside the submitted work. WSL reports support for conference attendance from Cambridge Weight Plan outside the submitted work. NS reports grants and personal fees from AstraZeneca, Boehringer Ingelheim, Novartis, and Roche Diagnostics; and personal fees from Abbott Laboratories, Amgen, Eli Lilly, Hanmi Pharmaceuticals, Janssen, Merck Sharp & Dohme, Novo Nordisk, Pfizer, and Sanofi, outside the submitted work. LM reports employment by Counterweight during the conduct of study, was previously a shareholder in Counterweight, and previous employment from Cambridge Weight Plan outside the submitted work. All other authors declare no competing interests., (Copyright © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.)

Aims: We examined severe hospitalised hypoglycaemia (SHH) rates in people with type 1 and type 2 diabetes in Scotland during 2016-2022, stratifying by sociodemographics., Methods: Using the Scottish National diabetes register (SCI-Diabetes), we identified people with type 1 and type 2 diabetes alive anytime during 2016-2022. SHH events were determined through linkage to hospital admission and death registry data. We calculated annual SHH rates overall and by age, sex, and socioeconomic status. Summary estimates of time and stratum effects were obtained by fitting adjusted generalised additive models using R package mgcv., Results: Rates for those under 20 with type 1 diabetes reached their minimum at the 2020-2021 transition, 30% below the study period average. A gradual decline over time also occurred among 20-49-year-olds with type 1 diabetes. Overall, females had 15% higher rates than males with type 2 diabetes (rate ratio 1.15, 95% CI 1.08-1.22). People in the most versus least deprived quintile experienced 2.58 times higher rates (95% CI 2.27-2.93) in type 1 diabetes and 2.33 times higher (95% CI 2.08-2.62) in type 2 diabetes., Conclusions: Despite advances in care, SHH remains a significant problem in diabetes. Future efforts must address the large socioeconomic disparities in SHH risks., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: P.M.M. declares stock ownership in the following: Bayer and Roche Pharmaceuticals. H.M.C. declares grants from Juvenile Diabetes Research Foundation International, Diabetes UK, IQVIA, Chief Scientist Office, Medical Research Council (UK Research and Innovation), and European Union Commission, honoraria from Novo Nordisk, advisory board fees paid through her institution from Novo Nordisk and Bayer, and stock ownership in Bayer and Roche Pharmaceuticals. S.H. declares consulting fees paid through his institution from Vertex Pharma, Zucara Pharmaceuticals, and Zealand Pharma, honoraria from Medtronic and Novo Nordisk, and has served as Chair of DSMB for Eli Lilly development programme and as a Member of Novo Nordisk Independent Advisory Board. R.J.M. declares honoraria from Sanofi and Novo Nordisk for lectures and presentations, travel support from Sanofi, and is a non-executive member of NHS Tayside Health Board. F.W.G. declares advisory board fees from Abbott Diabetes and Insulet, speaker fees from Abbott Diabetes, Insulet, Novo Nordisk, and Lilly, and travel support from Abbott Diabetes and Novo Nordisk. S.P. declares grants from Novo Nordisk, Lilly, and Amgen, travel support from Novo Nordisk, and has participated on an Advisory board for Roche Pharmaceuticals. N.S. has consulted for and/or received speaker honoraria from Abbott Laboratories, Abbvie, Amgen, AstraZeneca, Boehringer Ingelheim, Eli Lilly, Hanmi Pharmaceuticals, Janssen, Menarini-Ricerche, Novartis, Novo Nordisk, Pfizer, Roche Diagnostics, and Sanofi; and received grant support paid to his University from AstraZeneca, Boehringer Ingelheim, Novartis, and Roche Diagnostics outside the submitted work. No other potential conflicts of interest relevant to this article were reported., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: People from South Asian heritage are at high risk of type 2 diabetes, but there are limited specific strategies to prevent and manage this condition. The aim was to assess the effectiveness of culturally bespoke lifestyle programmes in South Asians that target weight loss for the prevention or remission of type 2 diabetes mellitus (T2DM)., Methods: We performed a systematic review and meta-analysis of intervention trials. PubMed, Scopus, MEDLINE (EBSCOhost), CINAHL, PsycINFO and CENTRAL were searched. Human intervention trials (randomised controlled trials and quasi-experimental) investigating the effect of lifestyle interventions on the prevention and remission of T2DM in South Asians were included. Studies including participants at risk of T2DM (prevention trials) and having the disease (remission trials) with duration ≥12 weeks were eligible. For prevention trials, the primary outcome was change in weight (kg) from baseline; for remission trials, it was decrease in HbA1c to non-diabetic levels (HbA1c ≤ 6.5%) without diabetes medications. Prevention trials were separated into (i) lifestyle modification advice and (ii) lifestyle modification advice including a supervised physical activity programme., Results: Twenty-four trials were eligible (21 prevention trials and 3 remission trials). In T2DM prevention trials involving only lifestyle modification advice, the mean postintervention difference in weight between intervention and control groups was -0.65 kg (95% confidence interval [CI]: -1.04, -0.26; p = 0.01). Lifestyle modification advice including a physical activity programme was associated with greater decreases in weight: -1.13 kg (95% CI: -2.04, -0.21; p = 0.02). Fasting blood glucose levels were slightly lower in intervention groups for both intervention subtypes, although there was no significant change in HbA1c levels or 2-h plasma glucose levels. Diabetes remission trials showed potential acceptability but were limited in number and involved a small sample size, and some did not include a control group., Conclusions: In South Asians, lifestyle interventions for prevention of T2DM offer only modest impacts on weight and glucose control and will unlikely reduce diabetes incidence. Alternative lifestyle interventions co-designed with members of the communities and aimed at both prevention and remission of T2DM must be urgently considered. Systematic review registration number: PROSPERO CRD42022385174 https://www.crd.york.ac.uk/prospero/display&#95;record.php?RecordID=385174., (© 2024 The Authors. Journal of Human Nutrition and Dietetics published by John Wiley & Sons Ltd on behalf of British Dietetic Association.)

In high-income countries, rates of atherosclerotic complications in type 2 diabetes have declined markedly over time due to better management of traditional risk factors including lipids, blood pressure, and glycemia levels. Population-wide reductions in smoking have also helped lower atherosclerotic complications and so reduce premature mortality in type 2 diabetes. However, as excess adiposity is a stronger driver for heart failure (HF), and obesity levels have remained largely unchanged, HF risks have not declined as much and may even be rising in the increasing number of people developing type 2 diabetes at younger ages. Excess weight is also an underrecognized risk factor for chronic kidney disease (CKD). Based on evidence from a range of sources, we explain how excess adiposity must be influencing most risks well before diabetes develops, particularly in younger-onset diabetes, which is linked to greater excess adiposity. We also review potential mechanisms linking excess adiposity to HF and CKD and speculate on how some of the responsible pathways-e.g., hemodynamic, cellular overnutrition, and inflammatory-could be favorably influenced by intentional weight loss (via lifestyle or drugs). On the basis of available evidence, we suggest that the cardiorenal outcome benefits seen with sodium-glucose cotransporter 2 inhibitors may partially derive from their interference of some of these same pathways. We also note that many other complications common in diabetes (e.g., hepatic, joint disease, perhaps mental health) are also variably linked to excess adiposity, the aggregated exposure to which has now increased in type 2 diabetes. All such observations suggest a greater need to tackle excess adiposity earlier in type 2 diabetes., (© 2024 by the American Diabetes Association.)

Aims: To estimate the incidence of a major adverse cardiovascular event (MACE) and a composite kidney outcome across estimated glomerular filtration rate (eGFR) and urine albumin-to-creatinine ratio (UACR) levels, and to determine whether efpeglenatide's effect varies with these indices., Materials and Methods: AMPLITUDE-O trial data were used to estimate the relationship of eGFR, UACR, and Kidney Disease Improving Global Outcomes (KDIGO) category to the hazard of MACE and the kidney composite. Interactions on these outcomes between eGFR and the UACR, and between each of these variables and efpeglenatide were also assessed., Results: Baseline eGFR and UACR were available for 3983 participants (mean age 64.5 years). During a median follow-up of 1.8 years, the hazards of MACE and the kidney composite for the lowest versus highest eGFR third were 1.6 (95% confidence interval [CI] 1.2, 2.2) and 2.3 (95% CI 1.9, 2.8), respectively. The hazards for the highest versus the lowest UACR third were 2.3 (95% CI 1.8, 3.1) and 18.0 (95% CI 12.7, 25.5), respectively, and for the high- versus low-risk KDIGO categories the hazards were 2.4 (95% CI 1.8, 3.1) and 16.0 (95% CI 11.6, 22.0), respectively. eGFR and UACR were independent determinants of both outcomes, but negatively interacted with each other for the kidney outcome. Efpeglenatide's effect on both outcomes did not vary with any kidney disease measure (all interaction p values ≥0.26)., Conclusions: In high-risk people with diabetes, eGFR, UACR, and KDIGO category have different relationships to incident cardiovascular and kidney outcomes. The beneficial effect of efpeglenatide on these outcomes is independent of kidney-related risk category., (© 2023 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Background: Gout, a common crystal arthropathy, is associated with increased risk of cardiovascular disease. We aimed to identify how this risk varies by individual cardiovascular disease across a broad spectrum of conditions., Methods: In this matched case-control study, we used linked primary and secondary electronic health records from the UK Clinical Practice Research Datalink to assemble a cohort of individuals with a first-time diagnosis of gout between Jan 1, 2000 and Dec 31, 2017, who were aged 80 years or younger at diagnosis, and free of cardiovascular diseases up to 12 months after diagnosis. The control cohort comprised up to five control individuals per patient with gout, matched on age, sex, socioeconomic status, geographical region, and calendar time, randomly selected among individuals free of gout at any time before and during the study period. The cohorts were followed up until June 30, 2019. We investigated the incidence of 12 cardiovascular diseases and used Cox proportional hazards models to examine differences in people with and without gout, overall and by subgroups of sex, age, socioeconomic status, and year of study inclusion. We further adjusted models for known cardiovascular risk factors (blood pressure, BMI, smoking status, cholesterol, type 2 diabetes, chronic kidney disease, and history of hypertension)., Findings: We identified 152 663 individuals with gout (mean age 56·2 years [SD 13·3]; 120 324 [78·8%] men and 32 339 [21·2%] women) and 709 981 matched controls (mean age 56·5 years [13·2]; 561 002 [79·0%] men and 148 979 [21·0%] women). Of these individuals, 31 479 (20·6%) with gout and 106 520 (15·0%) without gout developed cardiovascular disease during a median follow-up of 6·5 years (IQR 3·1-10·5). Patients with gout had higher risk of cardiovascular diseases than matched controls (hazard ratio [HR] 1·58 [95% CI 1·52-1·63]). Excess risk of cardiovascular disease in gout was greater in women than men (women: HR 1·88 [1·75-2·02]; men: HR 1·49 [1·43-1·56]), and, among all age groups, was highest in younger individuals (HR in people aged <45 years: 2·22 [1·92-2·57]). Excess risk was observed across all 12 cardiovascular diseases investigated. Patients with gout had higher BMI than matched controls (mean difference 2·90 kg/m 2 [95% CI 2·87-2·93]) and higher prevalence of chronic kidney disease, dyslipidaemia, history of hypertension, obesity, and type 2 diabetes. Adjusting for known cardiovascular risk factors attenuated but did not eliminate the excess risk of cardiovascular disease related to gout (adjusted HR 1·31 [1·27-1·36])., Interpretation: Patients with gout had an excess risk of developing a broad range of cardiovascular diseases that extend beyond atherosclerotic diseases and include heart failure, arrhythmias, valve disease, and thromboembolic diseases. Excess risk was highest in women and younger individuals. These findings suggest that strategies to reduce cardiovascular risk in patients with gout need to evolve and be implemented in clinical practice., Funding: Research Foundation Flanders., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Purpose of Review: Obesity is associated with cardiovascular (CV) conditions, including but not limited to atherosclerotic disease, heart failure, and atrial fibrillation. Despite this, the impact of intentional weight loss on CV outcomes for persons with obesity and established CV conditions remains poorly studied. New and emerging pharmacologic therapies for weight loss primarily targeting the incretin/nutrient sensing axes induce substantial and sustained weight loss. The glucagon-like-peptide 1 receptor agonists (GLP-1 RA) liraglutide and semaglutide have US FDA approval for the treatment of obesity, and the application for an obesity indication for the dual GLP-1/glucose-dependent insulinotropic polypeptide (GIP) receptor agonist tirzepatide is presently under FDA review. Extensive phase II and IIIa randomized controlled trials are underway evaluating permutations of combined GLP-1 RA, GIP receptor agonist, GIP receptor antagonist, and glucagon receptor agonists. Clinical outcome trials of these therapies in persons with obesity at high risk of established CV conditions should make it possible to estimate the role of intentional weight loss in managing CV risk via these medications., Recent Findings: High-dose once weekly injectable semaglutide (2.4 mg/week) use among persons with obesity and heart failure with preserved ejection fraction was effective at both reducing weight and improving health status; exercise capacity was also improved. Ongoing CV outcome trials of oral semaglutide and once weekly injectable tirzepatide will help to establish the role of these therapies among persons with other CV conditions. In addition to these two therapies targeting a CV claim or indication, many other new therapeutics for weight loss, as reviewed, are currently in development. The impact of pharmacologic-induced weight loss on CV conditions for persons with obesity and established CV conditions is currently under investigation for multiple agents. These therapies may offer new avenues to manage CV risk in persons with obesity and with established or at high risk for CV disease., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Patients with type 2 diabetes are at risk of heart failure hospitalization. As social determinants of health are rarely included in risk models, we validated and recalibrated the WATCH-DM score in a diverse patient-group using their social deprivation index (SDI)., Methods: We identified US Veterans with type 2 diabetes without heart failure that received outpatient care during 2010 at Veterans Affairs medical centers nationwide, linked them to their SDI using residential ZIP codes and grouped them as SDI <20%, 21% to 40%, 41% to 60%, 61% to 80%, and >80% (higher values represent increased deprivation). Accounting for all-cause mortality, we obtained the incidence for heart failure hospitalization at 5 years follow-up; overall and in each SDI group. We evaluated the WATCH-DM score using the C statistic, the Greenwood Nam D'Agostino test χ 2 test and calibration plots and further recalibrated the WATCH-DM score for each SDI group using a statistical correction factor., Results: In 1 065 691 studied patients (mean age 67 years, 25% Black and 6% Hispanic patients), the 5-year incidence of heart failure hospitalization was 5.39%. In SDI group 1 (least deprived) and 5 (most deprived), the 5-year heart failure hospitalization was 3.18% and 11%, respectively. The score C statistic was 0.62; WATCH-DM systematically overestimated heart failure risk in SDI groups 1 to 2 (expected/observed ratios, 1.38 and 1.36, respectively) and underestimated the heart failure risk in groups 4 to 5 (expected/observed ratios, 0.95 and 0.80, respectively). Graphical evaluation demonstrated that the recalibration of WATCH-DM using an SDI group-based correction factor improved predictive capabilities as supported by reduction in the χ 2 test results (801-27 in SDI groups I; 623-23 in SDI group V)., Conclusions: Including social determinants of health to recalibrate the WATCH-DM score improved risk prediction highlighting the importance of including social determinants in future clinical risk prediction models., Competing Interests: Disclosures N. Sattar reports personal fees from Afimmune, Amgen, AstraZeneca, Boehringer Ingelheim, Eli Lilly, Hanmi Pharmaceuticals, Merck Sharp & Dohme, Novartis, Novo Nordisk, Pfizer, and Sanofi and grant funding paid to his university from AstraZeneca, Boehringer Ingelheim, Novartis, and Roche Diagnostics outside the submitted work. Dr Al-Kindi reports support from the National Institute of Minority Health. Dr Deo reports funding from Johnson & Johnson outside the submitted work. The other authors report no conflicts.

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes 1,2 and molecular mechanisms that are often specific to cell type 3,4 . Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10 -8 ) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores 5 in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care., (© 2024. The Author(s).)

Background: Type 2 diabetes is associated with higher risk of several cancer types. However, the biological intermediates driving this relationship are not fully understood. As novel interventions for treating and managing type 2 diabetes become increasingly available, whether they also disrupt the pathways leading to increased cancer risk is currently unknown. We investigated the effect of a type 2 diabetes intervention, in the form of intentional weight loss, on circulating proteins associated with cancer risk to gain insight into potential mechanisms linking type 2 diabetes and adiposity with cancer development., Methods: Fasting serum samples from participants with diabetes enrolled in the Diabetes Remission Clinical Trial (DiRECT) receiving the Counterweight-Plus weight-loss programme (intervention, N = 117, mean weight-loss 10 kg, 46% diabetes remission) or best-practice care by guidelines (control, N = 143, mean weight-loss 1 kg, 4% diabetes remission) were subject to proteomic analysis using the Olink Oncology-II platform (48% of participants were female; 52% male). To identify proteins which may be altered by the weight-loss intervention, the difference in protein levels between groups at baseline and 1 year was examined using linear regression. Mendelian randomization (MR) was performed to extend these results to evaluate cancer risk and elucidate possible biological mechanisms linking type 2 diabetes and cancer development. MR analyses were conducted using independent datasets, including large cancer meta-analyses, UK Biobank, and FinnGen, to estimate potential causal relationships between proteins modified during intentional weight loss and the risk of colorectal, breast, endometrial, gallbladder, liver, and pancreatic cancers., Findings: Nine proteins were modified by the intervention: glycoprotein Nmb; furin; Wnt inhibitory factor 1; toll-like receptor 3; pancreatic prohormone; erb-b2 receptor tyrosine kinase 2; hepatocyte growth factor; endothelial cell specific molecule 1 and Ret proto-oncogene (Holm corrected P-value <0.05). Mendelian randomization analyses indicated a causal relationship between predicted circulating furin and glycoprotein Nmb on breast cancer risk (odds ratio (OR) = 0.81, 95% confidence interval (CI) = 0.67-0.99, P-value = 0.03; and OR = 0.88, 95% CI = 0.78-0.99, P-value = 0.04 respectively), though these results were not supported in sensitivity analyses examining violations of MR assumptions., Interpretation: Intentional weight loss among individuals with recently diagnosed diabetes may modify levels of cancer-related proteins in serum. Further evaluation of the proteins identified in this analysis could reveal molecular pathways that mediate the effect of adiposity and type 2 diabetes on cancer risk., Funding: The main sources of funding for this work were Diabetes UK, Cancer Research UK, World Cancer Research Fund, and Wellcome., Competing Interests: Declaration of interests Tom G Richardson is an employee of GlaxoSmithKline outside of the research presented in this manuscript. Mike Lean has received lecturing fees from Novo Nordisk, Roche, Merck, Sanofi Nestle and Oviva, recognises grants from Diabetes UK, NIHR, and All Sants Educational Trust, and consulting fees from Counterweight. Roy Taylor has received lecture honoraria from Eli Lilly, Nestle Health and Janssen and payment or honoraria from educational videos for European Association for the Study of Diabetes, and recognises grant support from Diabetes UK. Alex McConnachie recognises grant support from Diabetes UK. Emma Hazelwood recognises support for travel from the Harold Hyam Wingate Foundation, the European Cancer Prevention organization, and the European Association for Cancer Research, and sits on the IGES Ethical, Legal and Societal Issues committee. Naveed Sattar recognizes grant support from AstaZeneca, Boehringer Ingelheim, Novartis, and Roche Diagnostics, has received consulting fees from Abbott Laboratories, Amgen, AstraZeneca, Boehringer Ingelheim, Eli Lilly, Hanmi Pharmaceuticals, Janssen, Marck Sharp & Dohme, Novartis, Novo Nordisk, Pfizer, Roche Diagnostics, and Sanofi, and has received payment for lectures or manuscript writing from Abbott Laboratories, AstraZeneca, Boehringer Ingelheim, Eli Lilly, Janssen, and Novo Nordisk. Paul Welsh recognizes grant support from AstraZeneca, Roche Diagnostics, Boehringer Ingelheim, and Novartis, and payment for lectures or manuscript writing from Novo Nordisk and Raisio Nutrition. Rachel Pearlman is an executive council member of CGA-IGC. The remaining authors declare no competing interests. Where authors are identified as personnel of the International Agency for Research on Cancer/World Health Organization, the authors alone are responsible for the views expressed in this article and they do not necessarily represent the decisions, policy or views of the International Agency for Research on Cancer/World Health Organization., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Background: Tirzepatide, a once-weekly GIP/GLP-1 receptor agonist, reduces blood glucose and body weight in people with type 2 diabetes. The cardiovascular (CV) safety and efficacy of tirzepatide have not been definitively assessed in a cardiovascular outcomes trial., Methods: Tirzepatide is being studied in a randomized, double-blind, active-controlled CV outcomes trial. People with type 2 diabetes aged ≥40 years, with established atherosclerotic CV disease, HbA1c ≥7% to ≤10.5%, and body mass index ≥25 kg/m 2 were randomized 1:1 to once weekly subcutaneous injection of either tirzepatide up to 15 mg or dulaglutide 1.5 mg. The primary outcome is time to first occurrence of any major adverse cardiovascular event (MACE), defined as CV death, myocardial infarction, or stroke. The trial is event-driven and planned to continue until ≥1,615 participants experience an adjudication-confirmed component of MACE. The primary analysis is noninferiority for time to first MACE of tirzepatide vs dulaglutide by demonstrating an upper confidence limit <1.05, which will also confirm superiority vs a putative placebo, and also to determine whether tirzepatide produces a greater CV benefit than dulaglutide (superiority analysis)., Results: Over 2 years, 13,299 people at 640 sites in 30 countries across all world regions were randomized. The mean age of randomized participants at baseline was 64.1 years, diabetes duration 14.7 years, HbA1c 8.4%, and BMI 32.6 kg/m 2 . Overall, 65.0% had coronary disease, of whom 47.3% reported prior myocardial infarction and 57.4% had prior coronary revascularization. 19.1% of participants had a prior stroke and 25.3% had peripheral artery disease. The trial is fully recruited and ongoing., Conclusion: SURPASS-CVOT will provide definitive evidence as to the CV safety and efficacy of tirzepatide as compared with dulaglutide, a GLP-1 receptor agonist with established CV benefit., Competing Interests: Conflict of interest SJN reports grants or contracts from Amgen, Anthera Pharmaceuticals, AstraZeneca, Cerenis Therapeutics, CSL Behring, Eli Lilly and Company, Esperion Therapeutics, Infraredx, New Amsterdam Pharma, Novartis, Resverlogix, and Sanofi Regeneron; consulting fees from Akcea Therapeutics, Amgen, AstraZeneca, Boehringer Ingelheim, CSL Behring, Eli Lilly and Company, Esperion Therapeutics, Kowa, Merck, Novo Nordisk, Pfizer, Sanofi Regeneron, Takeda, Vaxxinity, Silence Therapeutics, and CSL Sequiris; is a named inventor on a patent planned, issued or pending with Amgen; and is President of Cardiac Society of Australia and New Zealand. DLB reports grants or contracts from Abbott, Acesion Pharma, Afimmune, Aker Biomarine, Amarin, Amgen, AstraZeneca, Bayer, Beren, Boehringer Ingelheim, Boston Scientific, Bristol-Myers Squibb, Cardax, CellProthera, Cereno Scientific, Chiesi, Cincor, Cleerly, CSL Behring, Eisai, Ethicon, Faraday Pharmaceuticals, Ferring Pharmaceuticals, Forest Laboratories, Fractyl, Garmin, HLS Therapeutics, Idorsia, Ironwood, Ischemix, Janssen, Javelin, Lexicon, Eli Lilly and Company, Medtronic, Merck, Moderna, MyoKardia, NirvaMed, Novartis, Novo Nordisk, Owkin, Pfizer Inc, PhaseBio, PLx Pharma, Recardio, Regeneron, Reid Hoffman Foundation, Roche, Sanofi, Stasys, Synaptic, The Medicines Company, Youngene, 89bio, Otsuka, and Alnylam; royalties from Elsevier; consulting fees from Broadview Ventures, Hims, and McKinsey; payment or honoraria from American College of Cardiology, Baim Institute for Clinical Research, Belvoir Publications, Boston Scientific, Cleveland Clinic, Duke Clinical Research Institute, Mayo Clinic, Mount Sinai School of Medicine, Novartis, Population Health Research Institute, Rutgers University, Canadian Medical and Surgical Knowledge Translation Research Group, Cowen and Company, HMP Global, Journal of the American College of Cardiology, K2P, Level Ex, Medtelligence/ReachMD, MJH Life Sciences, Oakstone CME, Piper Sandler, Population Health Research Institute, Slack Publications, WebMD, Wiley, Society of Cardiovascular Patient Care, and CSL Behring; payment for expert testimony from Arnold and Porter law firm; meeting/travel support from American College of Cardiology, Society of Cardiovascular Patient Care, and American Heart Association; a pending patent for Sotagliflozin; participation on data monitoring or advisory boards for Acesion Pharma, Assistance Publique-Hôpitaux de Paris, AngioWave, Baim Institute, Bayer, Boehringer Ingelheim, Boston Scientific, Cardax, CellProthera, Cereno Scientific, Cleveland Clinic, Contego Medical, Duke Clinical Research Institute, Elsevier Practice Update Cardiology, Janssen, Level Ex, Mayo Clinic, Medscape Cardiology, Merck, Mount Sinai School of Medicine, MyoKardia, NirvaMed, Novartis, Novo Nordisk, PhaseBio, PLx Pharma, Regado Biosciences, Population Health Research Institute, and Stasys; leadership or fiduciary roles with American College of Cardiology, AngioWave, Boston VA Research Institute, Bristol Myers Squibb, DRS.LINQ, High Enroll, Society of Cardiovascular Patient Care, TobeSoft, and AHA NYC Chapter; stock or stock options in AngioWave, Bristol Myers Squibb, DRS.LINQ, and High Enroll; and other financial or non-financial interests in Clinical Cardiology (Deputy Editor), NCDR-ACTION Registry Steering Committee (Chair), American Heart Association Quality Oversight Committee (Chair), VA CART Research and Publications Committee (Chair), Contego Medical (Chair, PERFORMANCE 2), conducts unfunded research with FlowCo and Takeda, and is site co-investigator for Abbott, Biotronik, Boston Scientific, CSI, St. Jude Medical (now Abbott), Phillips SpectraWAVE, Svelte, and Vascular Solutions. JBB reports grant support from Dexcom, Insulet, MannKind, NovaTarg, Novo Nordisk, Sanofi, Tolerion, and vTv Therapeutics; consulting fees from Novo Nordisk, Alkahest, Altimmune, Anji, AstraZeneca, Bayer, Biomea Fusion Inc, Boehringer Ingelheim, CeQur, Cirius Therapeutics Inc, Corcept Therapeutics, CultHealth, Eli Lilly and Company, embecta, GentiBio, Glycadia, Glyscend, Janssen, Mellitus Health, Metsera, Moderna, Pendulum Therapeutics, Praetego, Sanofi, Stability Health, Tandem, Terns Inc, Valo, and Zealand Pharma; payment for expert testimony from Medtronic; participation on data monitoring or advisory boards for Alkahest, Altimmune, AstraZeneca, and Tandem; a leadership or fiduciary role with Association of Clinical and Translational Science; stock or stock options in Glyscend, Mellitus Health, Pendulum Therapeutics, PhaseBio, Praetego and Stability Health; and other financial or other non-financial interests in Dasman Diabetes Center, Kuwait City (scientific advisory board), and ReachMD and Mediflix (audiovisual content development). SDP reports consultation for Abbott, Amarin, Applied Therapeutics, AstraZeneca, Boehringer Ingelheim, Eli Lilly and Company, Hengrui Pharmaceuticals, Menarini International, MSD, Novo Nordisk, and Sanofi; grant support from AstraZeneca and Boehringer Ingelheim; and speaker fees from AstraZeneca, Boehringer Ingelheim, Eli Lilly and Company, Laboratori Guidotti, MSD, Novartis, Novo Nordisk, and Sanofi.. SEK reports consulting fees from Anji Pharamceuticals, Eli Lilly and Company, Merck, and Novo Nordisk; and payment or honoraria from Novo Nordisk. AML reports grants or contracts from Eli Lilly and Company; consulting fees from Eli Lilly and Company, Novo Nordisk, and Novartis; and meeting/travel support from Novo Nordisk and Eli Lilly and Company. DKM reports research support for clinical trials leadership from Boehringer Ingelheim, Merck & Co, Pfizer, AstraZeneca, Novo Nordisk, Esperion, Lilly USA, Lexicon, CSL Behring, and New Amsterdam; and honoraria for consultancy from Lilly USA, Boehringer Ingelheim, Merck & Co, Novo Nordisk, Applied Therapeutics, Altimmune, CSL Behring, Bayer, and Intercept. MAN reports grants or contracts from Merck, Sharp & Dohme; consulting fees from Boehringer Ingelheim, Berlin-Chemie/Menarini, Eli Lilly and Company, Medtronic, Merck, Sharp & Dohme, Novo Nordisk, Pfizer, Regor, Structure Therapeutics (Gasherbrum), and Sun Pharma; payment or honoraria from Berlin-Chemie/Menarini, Eli Lilly and Company, Medical Learning Institute, Medscape, Merck, Sharp & Dohme, Novo Nordisk, Sanofi, and Sun Pharma; and participation on a data monitoring or advisory board with Inventiva. SEN reports that the Cleveland Clinic Center for Clinical Research has received funding to perform clinical trials from Abbvie, AstraZeneca, Arrowhead, Amgen, Bristol Myers Squibb, Eli Lilly, Medtronic, MyoKardia, New Amsterdam Pharmaceuticals, Novartis, and Silence Therapeutics. NS reports grants and personal fees from AstraZeneca, Boehringer Ingelheim, and Novartis; a grant from Roche Diagnostics; and personal fees from Abbott Laboratories, Amgen, Eli Lilly and Company, Hanmi Pharmaceuticals, Janssen, Merck Sharp & Dohme, Novartis, Novo Nordisk, Pfizer, and Sanofi. BZ reports consulting fees from Eli Lilly and Company. SZ reports grants or contracts from NHMRC, Australian Government Department of Health and Aged Care, JDRF Centre of Excellence, and MRFF; consulting fees from Eli Lilly Australia, Boehringer-Ingelheim, MSD Australia, Astra Zeneca, Novo Nordisk, and Sanofi; payment or honoraria from Heart Foundation; meeting/travel support from Australian Diabetes Society 2022, International Diabetes Federation 2022, and KDIGO Implementation Summit on Diabetes Management in CKD; and leadership or fiduciary roles with Melanoma and Skin Cancer Trials Ltd., Australian Clinical Trials Alliance, and Victorian Institute of Forensic Medicine. JB reports consulting fees from Eli Lilly and Company, ReCor, and Medtronic; and participation on advisory boards for ReCor, Medtronic, and Eli Lilly and Company. AB, DM, HN, IP, GW, and RJW are employees and shareholders in Eli Lilly and Company. DD reports consulting fees from Eli Lilly and Company, Sun Pharmaceuticals, and Structure Therapeutics; payment or honoraria from University of Chicago, University of Iowa, and Korean Diabetes Association; meeting/travel support from American Diabetes Association; and stock or stock options in MBX Biosciences., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Bariatric surgery is a common procedure worldwide for the treatment of severe obesity and associated comorbid conditions but there is a lack of evidence as to medium-term safety and effectiveness outcomes in a United Kingdom setting., Objective: To establish the clinical outcomes and adverse events of different bariatric surgical procedures, their impact on quality of life and the effect on comorbidities., Design: Prospective observational cohort study., Setting: National Health Service secondary care and private practice in Scotland, United Kingdom., Participants: Adults (age >16 years) undergoing their first bariatric surgery procedure., Main Outcome Measures: Change in weight, hospital length of stay, readmission and reoperation rate, mortality, diabetes outcomes (HbA1c, medications), quality of life, anxiety, depression., Data Sources: Patient-reported outcome measures, hospital records, national electronic health records (Scottish Morbidity Record 01, Scottish Care Information Diabetes, National Records Scotland, Prescription Information System)., Results: Between December 2013 and February 2017, 548 eligible patients were approached and 445 participants were enrolled in the study. Of those, 335 had bariatric surgery and 1 withdrew from the study. Mean age was 46.0 (9.2) years, 74.7% were female and the median body mass index was 46.4 (42.4; 52.0) kg/m 2 . Weight was available for 128 participants at 3 years: mean change was -19.0% (±14.1) from the operation and -24.2% (±12.8) from the start of the preoperative weight-management programme. One hundred and thirty-nine (41.4%) participants were readmitted to hospital in the same or subsequent 35 months post surgery, 18 (5.4% of the operated cohort) had a reoperation or procedure considered to be related to bariatric surgery gastrointestinal complications or revisions. Fewer than five participants (<2%) died during follow-up. HbA1c was available for 93/182 and diabetes medications for 139/182 participants who had type 2 diabetes prior to surgery; HbA1c mean change was -5.72 (±16.71) ( p  = 0.001) mmol/mol and 65.5% required no diabetes medications ( p  < 0.001) at 3 years post surgery. Physical quality of life, available for 101/335 participants, improved in the 3 years post surgery, mean change in Rand 12-item Short Form Survey physical component score 8.32 (±8.95) ( p  < 0.001); however, there was no change in the prevalence of anxiety or depression., Limitations: Due to low numbers of bariatric surgery procedures in Scotland, recruitment was stopped before achieving the intended 2000 participants and follow-up was reduced from 10 years to 3 years., Conclusions: Bariatric surgery is a safe and effective treatment for obesity. Patients in Scotland, UK, appear to be older and have higher body mass than international comparators, which may be due to the small number of procedures performed., Future Work: Intervention studies are required to identify the optimal pre- and post surgery pathway to maximise safety and cost-effectiveness., Study Registration: This study is registered as ISRCTN47072588., Funding Details: This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 10/42/02) and is published in full in Health Technology Assessment ; Vol. 28, No. 7. See the NIHR Funding and Awards website for further award information.

Aims/hypothesis: High-throughput metabolomics technologies in a variety of study designs have demonstrated a consistent metabolomic signature of overweight and type 2 diabetes. However, the extent to which these metabolomic patterns can be reversed with weight loss and diabetes remission has been weakly investigated. We aimed to characterise the metabolomic consequences of a weight-loss intervention in individuals with type 2 diabetes., Methods: We analysed 574 fasted serum samples collected within an existing RCT (the Diabetes Remission Clinical Trial [DiRECT]) (N=298). In the trial, participating primary care practices were randomly assigned (1:1) to provide either a weight management programme (intervention) or best-practice care by guidelines (control) treatment to individuals with type 2 diabetes. Here, metabolomics analysis was performed on samples collected at baseline and 12 months using both untargeted MS and targeted 1 H-NMR spectroscopy. Multivariable regression models were fitted to evaluate the effect of the intervention on metabolite levels., Results: Decreases in branched-chain amino acids, sugars and LDL triglycerides, and increases in sphingolipids, plasmalogens and metabolites related to fatty acid metabolism were associated with the intervention (Holm-corrected p<0.05). In individuals who lost more than 9 kg between baseline and 12 months, those who achieved diabetes remission saw greater reductions in glucose, fructose and mannose, compared with those who did not achieve remission., Conclusions/interpretation: We have characterised the metabolomic effects of an integrated weight management programme previously shown to deliver weight loss and diabetes remission. A large proportion of the metabolome appears to be modifiable. Patterns of change were largely and strikingly opposite to perturbances previously documented with the development of type 2 diabetes., Data Availability: The data used for analysis are available on a research data repository ( https://researchdata.gla.ac.uk/ ) with access given to researchers subject to appropriate data sharing agreements. Metabolite data preparation, data pre-processing, statistical analyses and figure generation were performed in R Studio v.1.0.143 using R v.4.0.2. The R code for this study has been made publicly available on GitHub at: https://github.com/lauracorbin/metabolomics&#95;of&#95;direct ., (© 2023. The Author(s).)

Objective: To investigate to what extent having control of peripheral artery disease (PAD) risk factors is associated with the risk of incident PAD in individuals with type 2 diabetes., Research Design and Methods: A total of 148,096 individuals with type 2 diabetes in the Swedish National Diabetes Register between 2005 and 2009 were included and matched with 320,066 control subjects on the basis of age, sex, and county. A few control subjects who developed type 2 diabetes after recruitment, during wash-in (<0.2%), were not censored but instead matched with two new control subjects. Individuals with type 2 diabetes were evaluated according to the number of PAD risk factors beyond recommended guideline levels at baseline, including LDL cholesterol, blood pressure, smoking, glycated hemoglobin, and estimated glomerular filtration rate. Incident PAD events were ascertained from 2006 to 2019., Results: A graded association was observed between the number of PAD risk factors not at target and incident PAD in individuals with type 2 diabetes. The adjusted hazard ratio for PAD was 1.41 (95% CI 1.23-1.63) for those with type 2 diabetes with all PAD risk factors within target compared with control subjects matched for sex, age, and county but not risk factor status, in contrast with 9.28 (95% CI 3.62-23.79) for those with all five PAD risk factors not at target., Conclusions: A graded association was observed between increasing number of PAD risk factors not at target and incident PAD in individuals with type 2 diabetes., (© 2023 by the American Diabetes Association.)

Rationale & Objective: Poor glycemic control may contribute to the high mortality rate in patients with type 2 diabetes receiving hemodialysis. Insulin type may influence glycemic control, and its choice may be an opportunity to improve outcomes. This study assessed whether treatment with analog insulin compared with human insulin is associated with different outcomes in people with type 2 diabetes and kidney failure receiving hemodialysis., Study Design: Retrospective cohort study., Setting & Participants: People in the Analyzing Data, Recognizing Excellence and Optimizing Outcomes (AROii) study with kidney failure commencing hemodialysis and type 2 diabetes being treated with insulin within 288 dialysis facilities between 2007 and 2009 across 7 European countries. Study participants were followed for 3 years. People with type 1 diabetes were excluded using an established administrative data algorithm., Exposure: Treatment with an insulin analog or human insulin., Outcome: All-cause mortality, major adverse cardiovascular events (MACE), all-cause hospitalization, and confirmed hypoglycemia (blood glucose<3.0mmol/L sampled during hemodialysis)., Analytical Approach: Inverse probability weighted Cox proportional hazards models to estimate hazard ratios for analog insulin compared with human insulin., Results: There were 713 insulin analog and 733 human insulin users. Significant variation in insulin type by country was observed. Comparing analog with human insulin at 3 years, the percentage of patients experiencing end points and adjusted hazard ratios (AHR) were 22.0% versus 31.4% (AHR, 0.808 [95% CI, 0.66-0.99], P=0.04) for all-cause mortality, 26.8% versus 35.9% (AHR, 0.817 [95% CI, 0.68-0.98], P=0.03) for MACE, and 58.2% versus 75.0% (AHR, 0.757 [95% CI, 0.67-0.86], P<0.001) for hospitalization. Hypoglycemia was comparable between insulin types at 14.1% versus 15.0% (AHR, 1.169 [95% CI, 0.80-1.72], P=0.4). Consistent strength and direction of the associations were observed across sensitivity analyses., Limitations: Residual confounding, lack of more detailed glycemia data., Conclusions: In this large multinational cohort of people with type 2 diabetes and kidney failure receiving maintenance hemodialysis, treatment with analog insulins was associated with better clinical outcomes when compared with human insulin., Plain-Language Summary: People with diabetes who are receiving dialysis for kidney failure are at high risk of cardiovascular disease and death. This study uses information from 1,446 people with kidney failure from 7 European countries who are receiving dialysis, have type 2 diabetes, and are prescribed either insulin identical to that made in the body (human insulin) or insulins with engineered extra features (insulin analog). After 3 years, fewer participants receiving analog insulins had died, had been admitted to the hospital, or had a cardiovascular event (heart attack, stroke, heart failure, or peripheral vascular disease). These findings suggest that analog insulins should be further explored as a treatment leading to better outcomes for people with diabetes on dialysis., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Disparities exist in the cardiovascular mortality rates among people with type 2 diabetes (T2D). Research has established that these disparities are often related to the environmental and social determinations of health. This study explores the spatial variation between air pollution, social determinants of health and T2D related age-adjusted cardiovascular mortality (aa-CVM) in the United States. We obtained county-level T2D related to aa-CVM (per 100,000 residents) from Centers for Disease Control and Prevention WONDER (Wide-ranging Online Data for Epidemiologic Research) (2010 to 2019). We fit a geographically weighted linear regression with aa-CVM as the outcome and the following covariates (ambient air pollution [particulate matter of 2.5 µm size], median annual household income, racial/ethnic minorities, higher education, rurality, food insecurity, and primary health care access) were included. Overall, the median aa-CVM rate was 92.9 and highest in the South (102.2). In the West, aa-CVM was significantly associated with particulate matter of 2.5 µm size, annual median household income, racial minority status and primary health care access. Food insecurity was the most significant exposure in the Midwest and Northeast, while in the South, annual median household income and food insecurity were significant. In conclusion, this study demonstrated a substantial regional variation of exposure to determinants of T2D related aa-CVM in the United States. These findings should be considered in policy frameworks and interventions as part of community-level approaches to addressing T2D related aa-CVM, and within broader state and national discussions of the importance of population health., Competing Interests: Declaration of Competing Interest The authors have no competing interests to declare., (Published by Elsevier Inc.)

Objective: To identify predictors of body weight (BW) reduction of ≥15% with tirzepatide treatment and to describe associated clinical parameters of participants with type 2 diabetes (T2D) who achieved different categorical measures of BW reduction (<5%, ≥5 to <10%, ≥10 to <15%, and ≥15%) across four studies from the phase 3 SURPASS clinical trial program for T2D., Research Design and Methods: The multivariate model for predictor of a BW reduction of ≥15% included age, sex, race, BW, HbA1c, tirzepatide dose and baseline metformin use, fasting serum glucose, and non-HDL cholesterol. Baseline characteristics and change from baseline to week 40/42 for efficacy parameters were described and analyzed in treatment-adherent participants (≥75% doses administered and on treatment at week 40/42) receiving once weekly tirzepatide (5 mg, 10 mg, or 15 mg) (N = 3,188)., Results: Factors significantly associated with achieving a BW reduction of ≥15% with tirzepatide were higher tirzepatide doses, female sex, White or Asian race, younger age, metformin background therapy, and lower HbA1c, fasting serum glucose, and non-HDL cholesterol at baseline. With higher categorical BW reduction, there were greater reductions in HbA1c, triglycerides, ALT, waist circumference, and blood pressure., Conclusions: Baseline factors associated with a higher likelihood of achieving a BW reduction of ≥15% with tirzepatide were higher tirzepatide doses, female sex, White or Asian race, younger age, metformin background therapy, better glycemic status, and lower non-HDL cholesterol. With greater BW reduction, participants with T2D achieved larger improvements in glycemia and cardiometabolic risk parameters. These findings help inform which people with T2D are most likely to achieve greater BW reduction with improved cardiometabolic risk factors with tirzepatide., (© 2023 by the American Diabetes Association.)

Aim: To investigate whether continuous HbA1c levels and HbA1c-polygenic risk scores (HbA1c-PRS) are significantly associated with worse brain health independent of type 2 diabetes (T2D) diagnosis (vs. not), by examining brain structure and cognitive test score phenotypes., Methods: Using UK Biobank data (n = 39 283), we tested whether HbA1c levels and/or HbA1c-PRS were associated with cognitive test scores and brain imaging phenotypes. We adjusted for confounders of age, sex, Townsend deprivation score, level of education, genotyping chip, eight genetic principal components, smoking, alcohol intake frequency, cholesterol medication, body mass index, T2D and apolipoprotein (APOE) e4 dosage., Results: We found an association between higher HbA1c levels and poorer performance on symbol digit substitution scores (standardized beta [β] = -0.022, P = .001) in the fully adjusted model. We also found an association between higher HbA1c levels and worse brain MRI phenotypes of grey matter (GM; fully-adjusted β = -0.026, P < .001), whole brain volume (β = -0.072, P = .0113) and a general factor of frontal lobe GM (β = -0.022, P < .001) in partially and fully adjusted models. HbA1c-PRS were significantly associated with GM volume in the fully adjusted model (β = -0.010, P = .0113); however, when adjusted for HbA1c levels, the association was not significant., Conclusions: Our findings suggest that measured HbA1c is associated with poorer cognitive health, and that HbA1c-PRS do not add significant information to this., (© 2023 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Objective: To determine the extent to which changes in plasma proteins, previously predictive of cardiometabolic outcomes, predict changes in two diabetes remission trials., Research Design and Methods: We applied SomaSignal predictive tests (each derived from ∼5,000 plasma protein measurements using aptamer-based proteomics assay) to baseline and 1-year samples of trial intervention (Diabetes Remission Clinical Trial [DiRECT], n = 118, and Diabetes Intervention Accentuating Diet and Enhancing Metabolism [DIADEM-I], n = 66) and control (DiRECT, n = 144, DIADEM-I, n = 76) group participants., Results: Mean (SD) weight loss in DiRECT (U.K.) and DIADEM-I (Qatar) was 10.2 (7.4) kg and 12.1 (9.5) kg, respectively, vs. 1.0 (3.7) kg and 4.0 (5.4) kg in control groups. Cardiometabolic SomaSignal test results showed significant improvement (Bonferroni-adjusted P < 0.05) in DiRECT and DIADEM-I (expressed as relative difference, intervention minus control) as follows, respectively: liver fat (-26.4%, -37.3%), glucose tolerance (-36.6%, -37.4%), body fat percentage (-8.6%, -8.7%), resting energy rate (-8.0%, -5.1%), visceral fat (-34.3%, -26.1%), and cardiorespiratory fitness (9.5%, 10.3%). Cardiovascular risk (measured with SomaSignal tests) also improved in intervention groups relative to control, but this was significant only in DiRECT (DiRECT, -44.2%, and DIADEM-I, -9.2%). However, weight loss >10 kg predicted significant reductions in cardiovascular risk, -19.1% (95% CI -33.4 to -4.91) in DiRECT and -33.4% (95% CI -57.3, -9.6) in DIADEM-I. DIADEM-I also demonstrated rapid emergence of metabolic improvements at 3 months., Conclusions: Intentional weight loss in recent-onset type 2 diabetes rapidly induces changes in protein-based risk models consistent with widespread cardiometabolic improvements, including cardiorespiratory fitness. Protein changes with greater (>10 kg) weight loss also predicted lower cardiovascular risk, providing a positive outlook for relevant ongoing trials., (© 2023 by the American Diabetes Association.)

Background: Whether frailty influences the initiation of two cardioprotective diabetes drug therapies (ie, SGLT2 inhibitors and GLP-1 receptor agonists) in people with type 2 diabetes and cardiovascular disease is unknown. We aimed to assess rates of initiation of SGLT2 inhibitors and GLP-1 receptor agonists according to frailty in people with type 2 diabetes and cardiovascular disease., Methods: For this cross-sectional, nationwide study, all people with type 2 diabetes and cardiovascular disease in Denmark between Jan 1, 2015, and Dec 31, 2021, from six Danish health-data registers were identified. People younger than 40 years, with end-stage renal disease, with registered contraindications to SGLT2 inhibitors or GLP-1 receptor agonists, or with previous use of either drug therapy were excluded. The Hospital Frailty Risk Score was used to categorise people as either non-frail, moderately frail, or severely frail. Cox proportional hazards models were used to analyse the association between frailty and initiation of an SGLT2 inhibitor or a GLP-1 receptor agonist., Findings: Of 119 390 people with type 2 diabetes and cardiovascular disease, 103 790 were included. Median follow-up time was 4·5 years (IQR 2·7-6·1) and median age across the three frailty groups was 71 years (64-79). 65 959 (63·6%) of 103 790 people were male and 37 831 (36·5%) were female. At index date, 66 910 (64·5%) people were non-frail, 29 250 (28·2%) were moderately frail, and 7630 (7·4%) were severely frail. Frailty was associated with a significantly lower probability of initiating therapy with an SGLT2 inhibitor or a GLP-1 receptor agonist than in people who were non-frail (moderately frail hazard ratio 0·91, 95% CI 0·88-0·94, p<0·0001; severely frail 0·75, 0·70-0·80, p<0·0001). This association persisted after adjustment for age, sex, socioeconomic status, year of inclusion, duration of type 2 diabetes, duration of cardiovascular disease, polypharmacy, and comorbidity., Interpretation: In people with type 2 diabetes and cardiovascular disease in Denmark, frailty was associated with a significantly lower probability of SGLT2-inhibitor or GLP-1 receptor-agonist initiation, despite their benefits. Formulating clear and updated guidelines on the use of SGLT2 inhibitors and GLP-1 receptor agonists in people who are frail with type 2 diabetes and cardiovascular disease should be a priority., Funding: Department of Cardiology, Herlev and Gentofte University Hospital., Translation: For the Danish translation of the abstract see Supplementary Materials section., Competing Interests: Declaration of interests MEM receives grants from the CARDIO-HGH Foundation, Herlev and Gentofte University Hospital, and the Danish Cardiovascular Academy. MS receives lecture fees from Novartis, Boehringer Ingelheim, AstraZeneca, and Novo Nordisk. ACF receives grants from Steno Diabetes Center Sjaelland, Region Sjælland Den Sundhedsvidenskabelige Forskningsfond, and Murermester Lauritz Peter Christensen og Hustru Kirsten Sigrid Christensens Fond. JHB participates on an advisory board for Bayer. JJ receives grants from The Danish Heart Foundation and the CARDIO-HGH Foundation; receives payment and honoraria for lectures, presentations, and manuscript writing from Boehringer Ingelheim; and participates on advisory boards for AstraZeneca and Boehringer Ingelheim. JES receives grants from Herlev-Gentofte Forskningsfond, Snedkermester Sophus Jacobs; Torben og Alice Frimodts Fond; Dagmar Marshalls Fond; and Eva og Henry Frænkels Mindefond. LK receives speaker honoraria from Novo Nordisk, AstraZeneca, Novartis, and Boehringer Ingelheim. MCP receives grants and contracts from Boehringer Ingelheim, Roche, SQ Innovation, AstraZeneca, Novartis, Novo Nordisk, and Pharmacosmos; receives consulting fees from Boehringer Ingelheim, Novartis, AstraZeneca, Novo Nordisk, AbbVie, Bayer, Takeda, Corvia, Cardiorentis, Pharmacosmos, Siemens, and Vifor; receives payment or honoraria for lectures, presentations, manuscript writing, or educational events from Boehringer Ingelheim, Novartis, AstraZeneca, Novo Nordisk, AbbVie, Bayer, Takeda, Corvia, Cardiorentis, Pharmacosmos, Siemens, and Vifor; participates on a data safety monitoring board and advisory board for Takeda and Taikoku; and is the Director of Global Clinical Trials Partners. NS receives grants and contracts from AstraZeneca, Boehringer Ingelheim, Novartis, and Roche Diagnostics; receives consulting fees from Abbott Laboratories, Afimmune, Amgen, AstraZeneca, Boehringer Ingelheim, Eli Lilly, Hanmi Pharmaceuticals, Merck Sharp & Dohme, Novartis, Novo Nordisk, Pfizer, Roche Diagnostics, and Sanofi; and receives fees for lectures or manuscript writing from Abbott Laboratories, AstraZeneca, Boehringer Ingelheim, Eli Lilly, Janssen, and Novo Nordisk. JJVM receives payment or honoraria for lectures, presentations, speaker bureaus, or manuscript writing from Abbott, Alkem Metabolics, Eris Lifesciences, Hikma, Lupin, Sun Pharmaceuticals, Medscape, Herat.org, ProAdWise, Servier, and the Corpus. JJVM receives payment for participating on advisory boards for Cytokinetics, Amgen, AstraZeneca, Theracos, Ionis Pharmaceuticals, DalCor, Cardurion, Novartis, GlaxoSmithKline, Bayer, KBP Biosciences, Boehringer Ingelheim, and Bristol Myers Squibb. All other authors declare no competing interests., (Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.)

Objective: The study aim was to investigate associations of 11 anthropometric measures with incident type 2 diabetes and compare their predictive performance., Methods: This prospective cohort study included 161,127 White European UK Biobank participants who were free of diabetes at baseline. Anthropometric measures included height, weight, BMI, A Body Shape Index, waist circumference, waist to hip ratio, waist to height ratio (WHtR), hip circumference, visceral adiposity index, hip index, and anthropometric risk index. The associations were examined using Cox proportional hazard models. The differences in C-index were used to compare predictive performance between BMI and other anthropometric measures., Results: The median follow-up was 10.0 (interquartile range: 9.3-10.8) years, during which 6315 participants developed type 2 diabetes. All markers except height and hip index were positively associated with incident type 2 diabetes. The strongest associations were found for WHtR (hazard ratio per 1-SD increment: 2.27 [95% CI 2.19-2.35] in women; 1.96 [95% CI 1.90-2.01] in men). Compared with BMI, WHtR and anthropometric risk index had significantly better type 2 diabetes risk discrimination., Conclusions: Although most adiposity markers were associated with type 2 diabetes, the magnitude of the associations differed. WHtR had the strongest associations and predictive ability for type 2 diabetes and thus could be a more suitable marker for clinical use., (© 2023 The Authors. Obesity published by Wiley Periodicals LLC on behalf of The Obesity Society.)

Cardiovascular diseases (CVDs) are the leading causes of morbidity and mortality in individuals with type 2 diabetes mellitus (T2DM). Secular changes in CVD outcomes have occurred over the past few decades, mainly due to a decline in the incidence of ischaemic heart disease. The onset of T2DM at a young age (<40 years), leading to a greater number of life-years lost, has also become increasingly common. Researchers are now looking beyond established risk factors in patients with T2DM towards the role of ectopic fat and, potentially, haemodynamic abnormalities in mediating important outcomes (such as heart failure). T2DM confers a wide spectrum of risk and is not necessarily a CVD risk equivalent, indicating the importance of risk assessment strategies (such as global risk scoring, consideration of risk-enhancing factors and assessment of subclinical atherosclerosis) to inform treatment. Data from epidemiological studies and clinical trials demonstrate that successful control of multiple risk factors can reduce the risk of CVD events by ≥50%; however, only ≤20% of patients achieve targets for risk factor reduction (plasma lipid levels, blood pressure, glycaemic control, body weight and non-smoking status). Improvements in composite risk factor control with lifestyle management (including a greater emphasis on weight loss interventions) and evidence-based generic and novel pharmacological therapies are therefore needed when the risk of CVD is high., (© 2023. Springer Nature Limited.)

Objective: To investigate the causal association of type 2 diabetes and its components with risk of vascular complications independent of shared risk factors obesity and hypertension and to identify the main driver of this risk., Research Design and Methods: We conducted Mendelian randomization (MR) using independent genetic variants previously associated with type 2 diabetes, fasting glucose, HbA1c, fasting insulin, BMI, and systolic blood pressure as instrumental variables. We obtained summary-level data for 18 vascular diseases (15 for type 2 diabetes) from FinnGen and publicly available genome-wide association studies as our outcomes. We conducted univariable and multivariable MR, in addition to sensitivity tests to detect and minimize pleiotropic effects., Results: Univariable MR analysis showed that type 2 diabetes was associated with 9 of 15 outcomes; BMI and systolic blood pressure were associated with 13 and 15 of 18 vascular outcomes, respectively; and fasting insulin was associated with 4 and fasting glucose with 2. No robust association was found for HbA1c instruments. With adjustment for correlated traits in the multivariable test, BMI and systolic blood pressure, consistent causal effects were maintained, while five associations with type 2 diabetes (chronic kidney disease, ischemic heart disease, heart failure, subarachnoid hemorrhage, and intracerebral hemorrhage) were attenuated to null., Conclusions: Our findings add strong evidence to support the importance of BMI and systolic blood pressure in the development of vascular complications in people with type 2 diabetes. Such findings strongly support the need for better weight and blood pressure management in type 2 diabetes, independent of glucose lowering, to limit important complications., (© 2023 by the American Diabetes Association.)

Background: The importance of type 2 diabetes mellitus (T2D) in heart failure hospitalizations (HFH) is acknowledged. As information on the prevalence and influence of social deprivation on HFH is limited, we studied this issue in a racially diverse cohort., Methods: Linking data from US Veterans with stable T2D (without prevalent HF) with a zip-code derived population-level social deprivation index (SDI), we grouped them according to increasing SDI as follows: SDI: group I: ≤20; II: 21-40; III: 41-60; IV: 61-80; and V (most deprived) 81-100. Over a 10-year follow-up period, we identified the total (first and recurrent) number of HFH episodes for each patient and calculated the age-adjusted HFH rate [per 1000 patient-years (PY)]. We analysed the incident rate ratio between SDI groups and HFH using adjusted analyses., Results: In 1 012 351 patients with T2D (mean age 67.5 years, 75.7% White), the cumulative incidence of first HFH was 9.4% and 14.2% in SDI groups I and V respectively. The 10-year total HFH rate was 54.8 (95% CI: 54.5, 55.2)/1000 PY. Total HFH increased incrementally from SDI group I [43.3 (95% CI: 42.4, 44.2)/1000 PY] to group V [68.6 (95% CI: 67.8, 69.9)/1000 PY]. Compared with group I, group V patients had a 53% higher relative risk of HFH. The negative association between SDI and HFH was stronger in Black patients (SDI × Race p interaction  < .001)., Conclusions: Social deprivation is associated with increased HFH in T2D with a disproportionate influence in Black patients. Strategies to reduce social disparity and equalize racial differences may help to bridge this gap., (© 2023 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Aims: To evaluate the effects of pragmatic home-based resistance exercise training on glycated haemoglobin (HbA1c) as well as muscle strength and body composition in people with type 2 diabetes., Materials and Methods: People with type 2 diabetes were randomized (1:1) to usual care or usual care plus home-based resistance exercise for 32 weeks. The changes in HbA1c, body composition, physical function, quality of life, continuous glucose monitoring and liver fat were compared by randomized group using linear regression., Results: This study recruited 120 participants (female: n = 46 [38%], age 60.2 (9.4) years, BMI 31.1 (5.4) kg.m -2 ), 64 to intervention and 56 to usual care. Intention to treat analysis revealed no effect on HbA1c (difference in difference: -0.4 mmol/mol, 95% confidence interval [CI]: -3.26, 2.47; p = 0.78) but the intervention increased the number of push-ups (3.6 push-ups, 95% CI: 0.8, 6.4), arm lean mass (116 g, 95% CI: 6, 227) and leg lean mass (438 g, 95% CI 65, 810) and decreased liver fat (-1.27%, 95% CI -2.17, -0.38), with no differences in other outcomes. Per-protocol analysis revealed similar results., Conclusions: Home-based resistance exercise is unlikely to lower HbA1c in people with type 2 diabetes but may be of benefit for maintaining muscle mass and function and reducing liver fat., (© 2023 The Authors. Diabetes/Metabolism Research and Reviews published by John Wiley & Sons Ltd.)

Metabolic mechanisms underlying the heterogeneity of major adverse cardiovascular (CV) event (MACE) risk in individuals with type 2 diabetes mellitus (T2D) remain unclear. We hypothesized that circulating metabolites reflecting mitochondrial dysfunction predict incident MACE in T2D. Targeted mass-spectrometry profiling of 60 metabolites was performed on baseline plasma samples from the Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS; discovery cohort) and Exenatide Study of Cardiovascular Event Lowering (EXSCEL; validation cohort) biomarker substudy cohorts. A principal components analysis metabolite factor comprising medium-chain acylcarnitines (MCACs) was associated with MACE in TECOS and validated in EXSCEL, with higher levels associated with higher MACE risk. Meta-analysis showed that long-chain acylcarnitines (LCACs) and dicarboxylacylcarnitines were also associated with MACE. Metabolites remained associated with MACE in multivariate models and favorably changed with exenatide therapy. A third cohort (Cardiac Catheterization Genetics [CATHGEN]) with T2D was assessed to determine whether these metabolites improved discriminative capability of multivariate models for MACE. Nine metabolites (MCACs and LCACs and 1 dicarboxylacylcarnitine) were associated with time to MACE in the CATHGEN cohort. Addition of these metabolites to clinical models minimally improved the discriminative capability for MACE but did significantly down reclassify risk. Thus, metabolites reporting on dysregulated mitochondrial fatty acid oxidation are present in higher levels in individuals with T2D who experience subsequent MACE. These biomarkers may improve CV risk prediction models, be therapy responsive, and highlight emerging risk mechanisms.

Background: People with type 2 diabetes and albuminuria are at an elevated risk for cardiac and renal events. The optimal biomarkers to aid disease prediction and to understand the benefits of sodium-glucose cotransporter-2 inhibition remain unclear., Methods: Among 2627 study participants in the CREDENCE trial (Canagliflozin and Renal Events in Diabetes With Established Nephropathy Clinical Evaluation), concentrations of NT-proBNP (N-terminal pro-B-type natriuretic peptide), high-sensitivity cardiac troponin T, growth differentiation factor-15, and IGFBP7 (insulin-like growth factor binding protein 7) were measured. The effect of canagliflozin on biomarker concentrations was evaluated. The prognostic potential of each biomarker on the primary outcome (a composite of end-stage kidney disease [dialysis, transplantation, or a sustained estimated glomerular filtration rate of <15 mL·min -1 ·1.73 m -2 ], doubling of the serum creatinine level, or renal death or cardiovascular death) was assessed., Results: The median (quartiles 1 and 3) concentration of each biomarker was generally elevated: NT-proBNP, 180 ng/L (82, 442 ng/L); high-sensitivity cardiac troponin T, 19 ng/L (12, 29 ng/L); growth differentiation factor-15, 2595 ng/L (1852, 3775 ng/L); and IGFBP7, 121.8 ng/mL (105.4, 141.5 ng/mL). At 1 year, the biomarkers all rose by 6% to 29% in the placebo arm but only by 3% to 10% in the canagliflozin arm (all P <0.01 in multivariable linear mixed-effect models). Baseline concentrations of each biomarker were strongly predictive of cardiac and renal outcomes. When the biomarkers were analyzed together in a multimarker panel, individuals with high risk scores (hazard ratio [HR], 4.01 [95% CI, 2.52-6.35]) and moderate risk scores (HR, 2.39 [95% CI, 1.48-3.87]) showed a higher risk for the primary outcome compared with those with low risk scores. By 1 year, a 50% increase in NT-proBNP (HR, 1.11 [95% CI, 1.08-1.15]), high-sensitivity cardiac troponin T (HR, 1.86 [95% CI, 1.64-2.10]), growth differentiation factor-15 (HR, 1.45 [95% CI, 1.24-1.70]), and IGFBP7 (HR, 3.76 [95% CI, 2.54-5.56]) was associated with risk of the primary outcome., Conclusions: Multiple cardiorenal stress biomarkers are strongly prognostic in people with type 2 diabetes and albuminuria. Canagliflozin modestly reduced the longitudinal trajectory of rise in each biomarker. Change in the biomarker level in addition to the baseline level augments the primary outcome prediction., Registration: URL: https://www., Clinicaltrials: gov; Unique identifier: NCT02065791., Competing Interests: Disclosures Dr Januzzi is a trustee of the American College of Cardiology; is a board member of Imbria Pharmaceuticals; is a director at Jana Care; has received grant support from Abbott, Applied Therapeutics, HeartFlow, Innolife, and Roche Diagnostics; has received consulting income from Abbott, Beckman, Boehringer Ingelheim, Bristol Myers Squibb, Janssen, Merck, Novartis, Pfizer, Roche Diagnostics, and Siemens; and participates in clinical end point committees/data safety monitoring boards for Abbott, AbbVie, CVRx, Intercept, and Takeda. Dr Perkovic is employed by UNSW Sydney and the Royal North Shore Hospital and serves as a board director for St. Vincent’s Health Australia, George Clinical, and several medical research institutes. He has received honoraria for steering committee roles, scientific presentations, and/or advisory board attendance from AbbVie, Amgen, AstraZeneca, Baxter, Bayer, Boehringer Ingelheim, Chinook, Durect, Eli Lilly, Gilead, GSK, Janssen, Merck, Mitsubishi Tanabe Pharma Corp, Mundipharma, Novartis, Novo Nordisk, Otsuka, Pfizer, PharmaLink, Reata, Relypsa, Roche, Sanofi, Servier, Travere, and Tricida. Drs Tefera, Yavin, and Hansen are full-time employees of Jansen Research & Development, LLC. All other authors report no conflicts.

Background: Weight reduction is essential for improving health outcomes in people with obesity and type 2 diabetes. We assessed the efficacy and safety of tirzepatide, a glucose-dependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonist, versus placebo, for weight management in people living with obesity and type 2 diabetes., Methods: This phase 3, double-blind, randomised, placebo-controlled trial was conducted in seven countries. Adults (aged ≥18 years) with a body-mass index (BMI) of 27 kg/m 2 or higher and glycated haemoglobin (HbA 1c ) of 7-10% (53-86 mmol/mol) were randomly assigned (1:1:1), using a computer-generated random sequence via a validated interactive web-response system, to receive either once-weekly, subcutaneous tirzepatide (10 mg or 15 mg) or placebo for 72 weeks. All participants, investigators, and the sponsor were masked to treatment assignment. Coprimary endpoints were the percent change in bodyweight from baseline and bodyweight reduction of 5% or higher. The treatment-regimen estimand assessed effects regardless of treatment discontinuation or initiation of antihyperglycaemic rescue therapy. Efficacy and safety endpoints were analysed with data from all randomly assigned participants (intention-to-treat population). This trial is registered with ClinicalTrials.gov, NCT04657003., Findings: Between March 29, 2021, and April 10, 2023, of 1514 adults assessed for eligibility, 938 (mean age 54·2 years [SD 10·6], 476 [51%] were female, 710 [76%] were White, and 561 [60%] were Hispanic or Latino) were randomly assigned and received at least one dose of tirzepatide 10 mg (n=312), tirzepatide 15 mg (n=311), or placebo (n=315). Baseline mean bodyweight was 100·7 kg (SD 21·1), BMI 36·1 kg/m 2 (SD 6·6), and HbA 1c 8·02% (SD 0·89; 64·1 mmol/mol [SD 9·7]). Least-squares mean change in bodyweight at week 72 with tirzepatide 10 mg and 15 mg was -12·8% (SE 0·6) and -14·7% (0·5), respectively, and -3·2% (0·5) with placebo, resulting in estimated treatment differences versus placebo of -9·6% percentage points (95% CI -11·1 to -8·1) with tirzepatide 10 mg and -11·6% percentage points (-13·0 to -10·1) with tirzepatide 15 mg (all p<0·0001). More participants treated with tirzepatide versus placebo met bodyweight reduction thresholds of 5% or higher (79-83% vs 32%). The most frequent adverse events with tirzepatide were gastrointestinal-related, including nausea, diarrhoea, and vomiting and were mostly mild to moderate in severity, with few events leading to treatment discontinuation (<5%). Serious adverse events were reported by 68 (7%) participants overall and two deaths occurred in the tirzepatide 10 mg group, but deaths were not considered to be related to the study treatment by the investigator., Interpretation: In this 72-week trial in adults living with obesity and type 2 diabetes, once-weekly tirzepatide 10 mg and 15 mg provided substantial and clinically meaningful reduction in bodyweight, with a safety profile that was similar to other incretin-based therapies for weight management., Funding: Eli Lilly and Company., Competing Interests: Declaration of interests WTG has served as a consultant on advisory boards for Boehringer Ingelheim, Eli Lilly and Company, Novo Nordisk, Pfizer, Fractyl Health, Alnylam Pharmaceuticals, Inogen, and Merck, and as a site principal investigator for multicentred clinical trials sponsored by his university and funded by Novo Nordisk, Eli Lilly and Company, Epitomee, Neurovalens, and Pfizer. JPF has received research funding (paid to his institution) from Akero, AstraZeneca, Boehringer Ingelheim, 89bio, Eli Lilly and Company, Intercept, IONIS, Janssen, Madrigal, Metacrine, Merck, NorthSea Therapeutics, Novartis, Novo Nordisk, Oramed, Pfizer, Poxel, and Sanofi; has received consulting fees from Akero, Altimmune, Boehringer Ingelheim, Carmot Therapeutics, Echosens, 89bio, Eli Lilly and Company, Merck, Novo Nordisk, Pfizer, and Sanofi; has received speaker bureau honoraria from Eli Lilly and Company and travel support for attending meetings from Eli Lilly and Company, Novo Nordisk, Pfizer, and Sanofi; has served on advisory boards for Altimmune, Becton Dickenson, Boehringer Ingelheim, Carmot Therapeutics, Eli Lilly and Company, Gilead, Intercept, Merck, Novo Nordisk, Pfizer, and Sanofi; and has served on the board of directors for T1D Exchange. AMJ reports grants or contracts (through her institution) from Novo Nordisk, Eli Lilly and Company, Rhythm Pharmaceutical, and National Institutes of Health/National Institute of Diabetes and Digestive and Kidney Diseases; consults for Amgen and Scholar Rock; has received honoraria or travel support from Eli Lilly and Company, Novo Nordisk, and WeightWatchers, and stock options from Intellihealth; and serves on advisory boards for AstraZeneca, Boehringer Ingelheim, Biohaven, Eli Lilly and Company, Intellihealth, Novo Nordisk, Rhythm Pharmaceuticals, Structure Therapeutics, Terns Pharmaceutics, and WeightWatchers. CWlR reports grants from the Irish Research Council, Science Foundation Ireland, Anabio, and the Health Research Board. He serves on advisory boards and speakers’ panels of Novo Nordisk, Herbalife, GI Dynamics, Eli Lilly and Company, Johnson & Johnson, Glia, Irish Life Health, and Boehringer Ingelheim; is a member of the Irish Society for Nutrition and Metabolism outside the area of work commented on here; was the chief medical officer and director of the Medical Device Division of Keyron in 2021 (both unremunerated positions); is a previous investor in Keyron; was gifted stock holdings and divested all stock holdings in Keyron in September, 2021; continues to provide scientific advice to Keyron for no remuneration; and provides obesity clinical care in the Beyond BMI clinic and is a shareholder. NS has received grants and personal fees from AstraZeneca, Boehringer Ingelheim, and Novartis; a grant from Roche Diagnostics; and personal fees from Abbott Laboratories, Afimmune, Amgen, Eli Lilly and Company, Hanmi Pharmaceuticals, Janssen, Merck Sharp & Dohme, Novartis, Novo Nordisk, Pfizer, and Sanofi, outside of the submitted work. SZ, HM, NNA, MCB, IB, and XMZ are employees and shareholders of Eli Lilly and Company., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Objective: Tirzepatide reduces HbA1c and body weight, and creatinine-based estimated glomerular filtration rate (eGFR) decline. Unlike creatine-derived eGFR (eGFR-creatinine), cystatin C-derived eGFR (eGFR-cystatin C) is unaffected by muscle mass changes. We assessed effects of tirzepatide on eGFR-creatinine and eGFR-cystatin C., Research Design and Methods: Our primary outcome was eGFR change from baseline at 52 weeks with pooled tirzepatide (5, 10, and 15 mg) and titrated insulin glargine in adults with type 2 diabetes and high cardiovascular risk (SURPASS-4)., Results: Least squares mean (SE) eGFR-creatinine (mL/min/1.73 m2) changes from baseline with tirzepatide and insulin glargine were -2.5 (0.38) and -3.9 (0.38) (between-group difference, 1.4 [95% CI 0.3-2.4]) and -3.5 (0.37) and -5.3 (0.37) (between-group difference, 1.8 [95% CI 0.8-2.8]) for eGFR-cystatin C. Baseline, 1-year, and 1-year change from baseline values significantly correlated between eGFR-cystatin C and eGFR-creatinine. Measures of eGFR changes did not correlate with body weight changes., Conclusions: Tirzepatide slows the eGFR decline rate, supporting a kidney-protective effect., (© 2023 by the American Diabetes Association.)

Background: The insulin-like growth factors (IGF) play a crucial role in regulating cellular proliferation, apoptosis, and key metabolic pathways. The ratio of IGF-1 to IGF binding protein-3 (IGFBP-3) is an important factor in determining IGF-1 bioactivity. We sought to investigate the association of IGF-1 and IGFBP-3 with cardio-renal outcomes among persons with type 2 diabetes., Methods: Samples were available from 2627 individuals with type 2 diabetes and chronic kidney disease that were randomized to receive canagliflozin or placebo and were followed up for incident cardio-renal events. Primary outcome was defined as a composite of end-stage kidney disease, doubling of the serum creatinine level, or renal/cardiovascular death. IGF-1 and IGFBP-3 were measured at baseline, Year-1 and Year-3. Elevated IGF-1 level was defined according to age-specific cutoffs. Cox proportional hazard regression was used to investigate the association between IGF-1 level, IGFBP-3, and the ratio of IGF-1/IGFBP-3 with clinical outcomes., Results: Elevated IGF-1 was associated with lower glomerular filtration rate at baseline. Treatment with canagliflozin did not significantly change IGF-1 and IGFBP-3 concentrations by 3 years (p-value > 0.05). In multivariable models, elevated IGF-1 (above vs below age-specific cutoffs) was associated with the primary composite outcome (incidence rate:17.8% vs. 12.7% with a hazard ratio [HR]: 1.52; 95% confidence interval CI 1.09-2.13;P: 0.01), renal composite outcome (HR: 1.65; 95% CI 1.14-2.41; P: 0.01), and all-cause mortality (HR: 1.52; 95% CI 1.00-2.32; P; 0.05). Elevations in log IGFBP-3 did not associate with any clinical outcomes. Increase in log IGF-1/IGFBP-3 ratio was also associated with a higher risk of the primary composite outcome (HR per unit increase: 1.57; 95% CI 1.09-2.26; P; 0.01)., Conclusions: These results further suggest potential importance of IGF biology in the risk for cardio-renal outcomes in type 2 diabetes. SGLT2 inhibition has no impact on the biology of IGF despite its significant influence on outcomes., Trial Registration: CREDENCE; ClinicalTrials.gov Identifier: NCT02065791., (© 2023. The Author(s).)

Aims: To investigate the combined association of adiposity and walking pace with incident type 2 diabetes., Methods: We undertook a prospective cohort study in 194 304 White-European participants (mean age 56.5 years, 55.9% women). Participants' walking pace was self-reported as brisk, average or slow. Adiposity measures included body mass index (BMI), waist circumference (WC) and body fat percentage (BF%). Associations were investigated using Cox proportional hazard models, with a 2-year landmark analysis. A four-way decomposition analysis was used for mediation and additive interaction., Results: The median (interquartile range) follow-up was 5.4 (4.8-6.3) years. During the follow-up period, 4564 participants developed type 2 diabetes. Compared to brisk-walking participants with normal BMI, those with obesity who walked briskly were at an approximately 10- to 12-fold higher risk of type 2 diabetes (hazard ratio [HR] 9.64, 95% confidence interval [CI] 7.24-12.84, in women; HR 11.91, 95% CI 8.80-16.12, in men), whereas those with obesity and walked slowly had an approximately 12- to 15-fold higher risk (HR 12.68, 95% CI 9.62-16.71, in women; HR 15.41, 95% CI 11.27-21.06, in men). There was evidence of an additive interaction between WC and BF% and walking pace among women, explaining 17.8% and 47.9% excess risk respectively. Obesity mediated the association in women and men, accounting for 60.1% and 44.9%, respectively., Conclusions: Slow walking pace is a risk factor for type 2 diabetes independent of adiposity. Promoting brisk walking as well as weight management might be an effective type 2 diabetes prevention strategy given their synergistic effects., (© 2023 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

We reviewed recent guidelines on the management of heart failure (HF) in patients with diabetes. Major recommendations in European and US society guidelines were scrutinized. First, sodium-glucose co-transporter 2 inhibitors are now recommended treatments for all patients with symptomatic HF (stage C and D; New York Heart Association class II-IV), irrespective of the presence of type 2 diabetes and left ventricular ejection fraction (LVEF). Second, patients with HF and reduced EF (LVEF ≤40%) should have foundational therapies from four drug classes (sodium-glucose co-transporter 2 inhibitor, angiotensin-receptor neprilysin inhibitor, beta-blocker and mineralocorticoid receptor antagonist). Third, patients with HF with mildly reduced (41%-49%) and preserved (≥50%) LVEF may also benefit from angiotensin-receptor neprilysin inhibitor, beta-blocker and mineralocorticoid receptor antagonist therapy, although evidence for these is less robust. Fourth, selected patients should be considered for other therapies such as diuretics (if congestion), anticoagulation (if atrial fibrillation) and cardiac device therapy. Fifth, glucose-lowering therapies such as thiazolidinediones and certain dipeptidyl peptidase-4 inhibitors (such as saxagliptin and alogliptin) should be avoided in patients with HF. Sixth, guidelines recommend enrolment of patients with HF into exercise rehabilitation and multidisciplinary HF management programmes. Particular attention should be paid to important comorbidities such as obesity, alongside pharmacological therapies. As diabetes and obesity are major risk factors for HF, earlier consideration of, and diagnosis of HF, followed by guideline-directed medical therapy can meaningfully improve patients' lives. Diabetes doctors would do well to understand the basics of such guidelines to help improve all aspects of HF diagnosis and care., (© 2023 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Background: The goal of this work was to investigate trends (2001-2019) for cardiovascular events and cardiometabolic risk factor levels in individuals with type 2 diabetes (T2D) and matched control subjects., Methods: This study included 679 072 individuals with T2D from the Swedish National Diabetes Register and 2 643  800 matched control subjects. Incident outcomes comprised coronary artery disease, acute myocardial infarction, cerebrovascular disease, and heart failure (HF). Trends in time to first event for each outcome were analyzed with Cox regression and standardized incidence rates. In the group with T2D, Cox regression was also used to assess risk factor levels beyond target and outcomes, as well as the relative importance of each risk factor to each model., Results: Among individuals with T2D, incidence rates per 10 000 person-years in 2001 and 2019 were as follows: acute myocardial infarction, 73.9 (95% CI, 65.4-86.8) and 41.0 (95% CI, 39.5-42.6); coronary artery disease, 205.1 (95% CI, 186.8-227.5) and 80.2 (95% CI, 78.2-82.3); cerebrovascular disease, 83.9 (95% CI, 73.6-98.5) and 46.2 (95% CI, 44.9-47.6); and HF, 98.3 (95% CI, 89.4-112.0) and 75.9 (95% CI, 74.4-77.5). The incidence for HF plateaued around 2013, a trend that then persisted. In individuals with T2D, glycated hemoglobin, systolic blood pressure, estimated glomerular filtration rate, and lipids were independently associated with outcomes. Body mass index alone potentially explained >30% of HF risk in T2D. For those with T2D with no risk factor beyond target, there was no excess cardiovascular risk compared with control subjects except for HF, with increased hazard with T2D even when no risk factor was above target (hazard ratio, 1.50 [95% CI, 1.35-1.67]). Risk for coronary artery disease and cerebrovascular disease increased in a stepwise fashion for each risk factor not within target. Glycated hemoglobin was most prognostically important for incident atherosclerotic events, as was body mass index for incident of HF., Conclusions: Risk and rates for atherosclerotic complications and HF are generally decreasing among individuals with T2D, although HF incidence has notably plateaued in recent years. Modifiable risk factors within target levels were associated with lower risks for outcomes. This was particularly notable for systolic blood pressure and glycated hemoglobin for atherosclerotic outcomes and body mass index for heart failure., Competing Interests: Disclosures Dr Bhatt discloses the following relationships: advisory boards for Angiowave, Bayer, Boehringer Ingelheim, Cardax, CellProthera, Cereno Scientific, Elsevier Practice Update Cardiology, High Enroll, Janssen, Level Ex, McKinsey, Medscape Cardiology, Merck, MyoKardia, NirvaMed, Novo Nordisk, PhaseBio, PLx Pharma, Regado Biosciences, and Stasys; boards of directors for Angiowave (stock options), Boston VA Research Institute, Bristol Myers Squibb (stock), DRS.LINQ (stock options), High Enroll (stock), Society of Cardiovascular Patient Care, and TobeSoft; chair/inaugural chair of the American Heart Association Quality Oversight Committee; consultant for Broadview Ventures and Hims; data monitoring committees for Acesion Pharma, Assistance Publique-Hôpitaux de Paris, Baim Institute for Clinical Research (formerly Harvard Clinical Research Institute, for the PORTICO trial, funded by St. Jude Medical, now Abbott), Boston Scientific (chair, PEITHO trial), Cleveland Clinic (including for the ExCEED trial, funded by Edwards), Contego Medical (chair, PERFORMANCE 2), Duke Clinical Research Institute, Mayo Clinic, Mount Sinai School of Medicine (for the ENVISAGE trial, funded by Daiichi Sankyo; for the ABILITY-DM trial, funded by Concept Medical), Novartis, Population Health Research Institute, and Rutgers University (for the National Institutes of Health–funded MINT Trial); honoraria from the American College of Cardiology (senior associate editor, Clinical Trials and News, ACC.org; chair of the ACC Accreditation Oversight Committee), Arnold and Porter law firm (work related to Sanofi/Bristol-Myers Squibb clopidogrel litigation), Baim Institute for Clinical Research (formerly Harvard Clinical Research Institute; RE-DUAL PCI Clinical Trial Steering Committee funded by Boehringer Ingelheim; AEGIS-II executive committee, funded by CSL Behring), Belvoir Publications (editor in chief of Harvard Heart Letter), Canadian Medical and Surgical Knowledge Translation Research Group (clinical trial steering committees), Cowen and Company, Duke Clinical Research Institute (clinical trial steering committees, including for the PRONOUNCE trial, funded by Ferring Pharmaceuticals), HMP Global (editor in chief of the Journal of Invasive Cardiology), Journal of the American College of Cardiology (guest editor; associate editor), K2P (co-chair for interdisciplinary curriculum), Level Ex, Medtelligence/ReachMD (CME steering committees), MJH Life Sciences, Oakstone CME (course director of Comprehensive Review of Interventional Cardiology), Piper Sandler, Population Health Research Institute (for the COMPASS operations committee, publications committee, steering committee, and US national coleader, funded by Bayer), Slack Publications (chief medical editor of Cardiology Today’s Intervention), Society of Cardiovascular Patient Care (secretary/treasurer), WebMD (CME steering committees), Wiley (steering committee); other: clinical cardiology (deputy editor), NCDR-ACTION Registry steering committee (chair), and VA CART Research and Publications Committee (chair); named on a patent for sotagliflozin assigned to Brigham and Women’s Hospital (assigned to Lexicon; neither Dr Bhatt nor Brigham and Women’s Hospital receives any income from this patent); research funding from Abbott, Acesion Pharma, Afimmune, Aker Biomarine, Amarin, Amgen, AstraZeneca, Bayer, Beren, Boehringer Ingelheim, Boston Scientific, Bristol-Myers Squibb, Cardax, CellProthera, Cereno Scientific, Chiesi, CinCor, Cleerly, CSL Behring, Eisai, Ethicon, Faraday Pharmaceuticals, Ferring Pharmaceuticals, Forest Laboratories, Fractyl, Garmin, HLS Therapeutics, Idorsia, Ironwood, Ischemix, Janssen, Javelin, Lexicon, Lilly, Medtronic, Merck, Moderna, MyoKardia, NirvaMed, Novartis, Novo Nordisk, Owkin, Pfizer, PhaseBio, PLx Pharma, Recardio, Regeneron, Reid Hoffman Foundation, Roche, Sanofi, Stasys, Synaptic, The Medicines Company, Youngene, and 89Bio; royalties from Elsevier (editor of Braunwald’s Heart Disease); site co- investigator for Abbott, Biotronik, Boston Scientific, CSI, Endotronix, St. Jude Medical (now Abbott), Philips, SpectraWAVE, Svelte, and Vascular Solutions; trustee of the American College of Cardiology; and unfunded research from FlowCo and Takeda. Dr McGuire reports receiving executive committee fees and consulting fees from Boehringer Ingelheim, Sanofi US, and AstraZeneca; data monitoring committee fees from CSL Behring; executive committee fees, consulting fees, and advisory board fees from Lilly USA and Novo Nordisk; executive committee fees from Lexicon and Eisai; steering committee fees from Esperion; consulting fees from Metavant, Applied Therapeutics, Bayer, and Afimmune; and advisory board fees from Pfizer, Merck Sharp, and Dohme. Dr Sattar has consulted for Abbott, Amgen, AstraZeneca, Boehringer Ingelheim, Eli Lilly, Hanmi, MSD, Novartis, Novo Nordisk, Pfizer, and Sanofi, and received grant support from AstraZeneca, Boehringer Ingelheim, Novartis, and Roche Diagnostics outside the submitted work. The other authors report no conflicts.

Background: Most studies investigating the association between physical activity (PA) and the risk of type 2 diabetes are derived from self-reported questionnaires, with limited evidence using device-based measurements. Therefore, this study aimed to investigate the dose-response relationship between device-measured PA and incident type 2 diabetes., Methods: This prospective cohort study included 40,431 participants of the UK Biobank. Wrist-worn accelerometers were used to estimate total, light, moderate, vigorous and moderate-to-vigorous PA. The associations between PA and incident type 2 diabetes were analysed using Cox-proportional hazard models. The mediating role of body mass index (BMI) was tested under a causal counterfactual framework., Results: The median follow-up period was 6.3 years (IQR: 5.7-6.8), with 591 participants developing type 2 diabetes. Compared to those achieving < 150 min/week of moderate PA, people achieving 150-300, 300-600 and > 600 min/week were at 49% (95% CI 62-32%), 62% (95% CI 71-50%) and 71% (95% CI 80-59%) lower risk of type 2 diabetes, respectively. For vigorous PA, compared to those achieving < 25 min/week, individuals achieving 25-50, 50-75 and > 75 min/week were at 38% (95% CI 48-33%), 48% (95% CI 64-23%) and 64% (95% CI 78-42%) lower type 2 diabetes risk, respectively. Twelve per cent and 20% of the associations between vigorous and moderate PA and type 2 diabetes were mediated by lower BMI, respectively., Conclusions: PA has clear dose-response relationship with a lower risk of type 2 diabetes. Our findings support the current aerobic PA recommendations but suggest that additional PA beyond the recommendations is associated with even greater risk reduction., Trial Registration: The UK Biobank study was approved by the North West Multi-Centre Research Ethics Committee (Ref 11/NW/0382 on June 17, 2011)., (© 2023. The Author(s).)

Objective: To assess the real-world cardiovascular (CV) safety for sulfonylureas (SU), in comparison with dipeptidyl peptidase 4 inhibitors (DPP4i) and thiazolidinediones (TZD), through development of robust methodology for causal inference in a whole nation study., Research Design and Methods: A cohort study was performed including people with type 2 diabetes diagnosed in Scotland before 31 December 2017, who failed to reach HbA1c 48 mmol/mol despite metformin monotherapy and initiated second-line pharmacotherapy (SU/DPP4i/TZD) on or after 1 January 2010. The primary outcome was composite major adverse cardiovascular events (MACE), including hospitalization for myocardial infarction, ischemic stroke, heart failure, and CV death. Secondary outcomes were each individual end point and all-cause death. Multivariable Cox proportional hazards regression and an instrumental variable (IV) approach were used to control confounding in a similar way to the randomization process in a randomized control trial., Results: Comparing SU to non-SU (DPP4i/TZD), the hazard ratio (HR) for MACE was 1.00 (95% CI: 0.91-1.09) from the multivariable Cox regression and 1.02 (0.91-1.13) and 1.03 (0.91-1.16) using two different IVs. For all-cause death, the HR from Cox regression and the two IV analyses was 1.03 (0.94-1.13), 1.04 (0.93-1.17), and 1.03 (0.90-1.17)., Conclusions: Our findings contribute to the understanding that second-line SU for glucose lowering are unlikely to increase CV risk or all-cause mortality. Given their potent efficacy, microvascular benefits, cost effectiveness, and widespread use, this study supports that SU should remain a part of the global diabetes treatment portfolio., (© 2023 by the American Diabetes Association.)

Randomized trials suggest moderate-intensity statins increase type 2 diabetes risk by around 11% with a potential further 12% moving to high-intensity statins, such that high intensity may increase risk by 20% or more relative to placebo. These data translate into one extra diabetes case per 100-200 statin recipients over 5 years, with ∼10-fold greater benefits on major vascular outcomes. The underlying mechanisms for diabetes harm are not clear but could include modest weight gain (noted in randomized trials), or, speculatively, beta cell harm. Concordant genetic studies link HMG CoA Reductase inhibition to diabetes risk and weight gain. Patients should be warned about a slight diabetes risk when prescribed statin and told that modest lifestyle improvements can i) nullify diabetes risk, and ii) improve cardiovascular risks beyond statins. Doctors should also measure glycemia status post statin commencement, most commonly with HbA1c, and tailor lifestyle advice and care dependent on the results., Competing Interests: Conflict of interest statement NS has consulted for and/or received speaker honoraria from Abbott Laboratories, Afimmune, Amgen, AstraZeneca, Boehringer Ingelheim, Eli Lilly, Hanmi Pharmaceuticals, Janssen, Merck Sharp & Dohme, Novartis, Novo Nordisk, Pfizer, Roche Diagnostics, and Sanofi; and received grant support paid to his University from AstraZeneca, Boehringer Ingelheim, Novartis, and Roche Diagnostics outside the submitted work., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Background: In the AMPLITUDE-O (Effect of Efpeglenatide on Cardiovascular Outcomes) cardiovascular outcomes trial, adding either 4 mg or 6 mg weekly of the glucagon-like peptide-1 receptor agonist efpeglenatide to usual care reduced major adverse cardiovascular events (MACE) in people with type 2 diabetes at high cardiovascular risk. Whether these benefits are dose related remains uncertain., Methods: Participants were randomly assigned in a 1:1:1 ratio to placebo, 4 mg or 6 mg of efpeglenatide. The effect of 6 mg versus placebo and of 4 mg versus placebo on MACE (a nonfatal myocardial infarction, nonfatal stroke, or death from cardiovascular or unknown causes) and on all the secondary composite cardiovascular and kidney outcomes was assessed. A dose-response relationship was assessed using the log-rank test and χ 2 statistic for trend., Results: During a median follow-up of 1.8 years, MACE occurred in 125 (9.2%) participants assigned to placebo, 84 (6.2%) participants assigned to 6 mg of efpeglenatide (hazard ratio [HR], 0.65 [95% CI, 0.5-0.86]; P =0.0027), and 105 (7.7%) assigned to 4 mg of efpeglenatide (HR, 0.82 [95% CI, 0.63-1.06]; P =0.14). Participants receiving high-dose efpeglenatide also experienced fewer secondary outcomes, including the composite of MACE, coronary revascularization, or hospitalization for unstable angina (HR, 0.73 for 6 mg, P =0.011; HR, 0.85 for 4 mg, P =0.17), a kidney composite outcome comprising sustained new macroalbuminuria, a ≥40% decline in estimated glomerular filtration rate or renal failure (HR, 0.63 for 6 mg, P <0.0001; HR, 0.73 for 4 mg, P =0.0009), MACE or any death (HR, 0.67 for 6 mg, P =0.0021; HR, 0.81 for 4 mg, P =0.08), a kidney function outcome comprising a sustained ≥40% decline in estimated glomerular filtration rate, renal failure, or death (HR, 0.61 for 6 mg, P =0.0072; HR, 0.97 for 4 mg, P =0.83), and the composite of MACE, any death, heart failure hospitalization, or the kidney function outcome (HR, 0.63 for 6 mg, P =0.0002; HR, 0.81 for 4 mg, P =0.067). A clear dose-response was noted for all primary and secondary outcomes (all P for trend ≤0.018)., Conclusions: The graded salutary relationship between efpeglenatide dose and cardiovascular outcomes suggests that titrating efpeglenatide and potentially other glucagon-like peptide-1 receptor agonists to high doses may maximize their cardiovascular and renal benefits., Registration: URL: https://www., Clinicaltrials: gov; Unique identifier: NCT03496298.

Aims: As sustained weight loss is vital for achieving remission of type 2 diabetes, we explored whether randomisation to weight loss plus maintenance in the DiRECT trial was associated with physical activity, inactivity or sleep., Methods: Participants were randomised to either a dietary weight management programme or best-practice care. The weight management group were encouraged to increase daily physical activity to their sustainable maximum. Objective measurement was achieved using a wrist-worn GENEActiv accelerometer for 7 days at baseline, 12 and 24 months in both groups., Results: Despite average weight loss of 10 kg at 12 months in the intervention (n = 66) group, there were no differences in total physical activity or inactivity compared with the control (n = 104) at any time point. However, in our exploratory analysis, those who lost more than 10% of their baseline body weight performed on average 11 mins/day more light activity than the <10% group at 24 months (p = 0.033) and had significantly lower bouts of Inactivity 30min (interaction, p = 0.005) across 12 and 24 months. At 24 months, the ≥10% group had higher daily acceleration (38.5 ± 12.1 vs. 33.2 ± 11.1 mg, p = 0.020), and higher accelerations in the most active 5-hour period (59.4 ± 21.8 vs. 50.6 ± 18.3 mg, p = 0.023). Wakefulness after sleep onset decreased in the intervention group compared with the control group and also in the ≥10% weight loss group at 12 and 24 months., Conclusions: Randomisation to a successful intensive weight loss intervention, including regular physical activity encouragement, was not associated with increased physical activity although sleep parameters improved. Physical activity was greater, and night-time waking reduced in those who maintained >10% weight loss at 12 and 24 months. TRIAL REGISTRATION ISRCTN03267836., (© 2022 The Authors. Diabetic Medicine published by John Wiley & Sons Ltd on behalf of Diabetes UK.)