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RATIONALE: Patients with diabetes represent almost 20% of all ICU admissions and might respond differently to high dose early active mobilization. OBJECTIVES: To assess whether diabetes modified the relationship between the dose of early mobilization on clinical outcomes in the TEAM trial. METHODS: All TEAM trial patients were included. The primary outcome was days alive and out of hospital at day 180. Secondary outcomes included 180-day mortality and long-term functional outcomes at day 180. Logistic and median regression models were used to explore the effect of high dose early mobilization on outcomes by diabetes status. MEASUREMENTS AND MAIN RESULTS: All 741 patients from the original trial were included. Of these, 159 patients (21.4%) had diabetes. Patients with diabetes had a lower number of days alive and out of hospital at day 180 (124 [0-153] vs. 147 [82-164], p = 0.013), and higher 180-day mortality (30% vs. 18%, p = 0.044). In patients receiving high dose early mobilization, days alive and out of hospital at day 180 was 73.0 (0.0 - 144.5) in patients with diabetes and 146.5 (95.8 - 163.0) in patients without diabetes (p for interaction = 0.108). However, in patients with diabetes, high dose early mobilization increased the odds of mortality at 180 days (adjusted odds ratio 3.47; 95% confidence interval [CI], 1.67-7.61, p value for interaction, 0.001). CONCLUSIONS: In this secondary analysis of the TEAM trial, in patients with diabetes, a high dose early mobilization strategy did not significantly decrease the number of days alive and out of hospital at day 180 but it increased 180-day mortality.
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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/m2 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/m2. 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.
Subject(s)
Atherosclerosis , Cardiovascular Diseases , Diabetes Mellitus, Type 2 , Myocardial Infarction , Stroke , Humans , Middle Aged , Atherosclerosis/complications , Atherosclerosis/drug therapy , Cardiovascular Diseases/drug therapy , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/drug therapy , Glucagon-Like Peptide-1 Receptor/agonists , Glucagon-Like Peptide-1 Receptor Agonists , Glycated Hemoglobin , Hypoglycemic Agents , Myocardial Infarction/drug therapy , Stroke/chemically induced , Treatment Outcome , Double-Blind MethodABSTRACT
Cardiovascular disease (CVD) is the leading cause of disease burden worldwide, with a significant proportion of cases and deaths attributable to modifiable risk factors. Recent interest has emerged in using cardiac computed tomography (CT) imaging as a tool to enhance motivation and drive positive behavioural changes. However, the impact of providing visual feedback of plaque from CT on risk factor control and individual health behaviours remains understudied. This study aimed to assess the effects of visual feedback from cardiac CT imaging on health-related behaviours and risk factor control. A systematic search of electronic databases was conducted, yielding nine studies (five randomised controlled trials and four observational studies) for analysis. The results varied, but based on the limited low-quality data, CT imaging appears to have short-term favourable effects on cholesterol levels and systolic blood pressure reductions, and positive dietary behavioural changes. Further research is warranted to better understand the long-term impact of cardiac CT imaging on health behaviours and risk factor modification.
Subject(s)
Heart Disease Risk Factors , Plaque, Atherosclerotic , Predictive Value of Tests , Humans , Male , Female , Middle Aged , Aged , Risk Reduction Behavior , Risk Assessment , Adult , Health Behavior , Prognosis , Health Knowledge, Attitudes, Practice , Coronary Angiography , Computed Tomography Angiography , Cardiovascular Diseases/diagnostic imaging , Diet, Healthy , Coronary Artery Disease/diagnostic imaging , Risk FactorsABSTRACT
BACKGROUND AND AIMS: The Semaglutide Effects on Cardiovascular Outcomes in People with Overweight or Obesity (SELECT) trial demonstrated significant reductions in cardiovascular outcomes in people with cardiovascular disease (CVD) and overweight or obesity (but without diabetes). However, the cost of the medication has raised concerns about its financial viability and accessibility within healthcare systems. This study explored whether use of semaglutide for the secondary prevention of CVD in overweight or obesity is cost-effective from the Australian healthcare perspective. METHODS: A Markov model was developed based on the SELECT trial to model the clinical outcomes and costs of a hypothetical population treated with semaglutide versus placebo, in addition to standard care, and followed up over 20 years. With each annual cycle, subjects were at risk of having non-fatal CVD events or dying. Model inputs were derived from SELECT and published literature. Costs were obtained from Australian sources. All outcomes were discounted by 5% annually. The main outcome of interest was the incremental cost-effectiveness ratio (ICER) in terms of cost per year of life saved (YoLS) and cost per quality-adjusted life year (QALY) gained. RESULTS: With an annual estimated cost of semaglutide of A${\$}$4175, the model resulted in ICERs of A${\$}$99 853 (US${\$}$143 504; £40 873) per YoLS and A${\$}$96 055 (US${\$}$138 046; £39 318) per QALY gained. CONCLUSIONS: Assuming a willingness-to-pay threshold of A${\$}$50 000, semaglutide is not considered cost-effective at the current price. A price of ≤ A${\$}$2000 per year or more targeted use in high-risk patients would be needed for it to be considered cost-effective in the Australian setting.
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Background To improve diabetes management in primary health care for the Aboriginal and Torres Strait Islander peoples population, training programs that are culturally and contextually relevant to the local context are required. Using a scoping review methodology, the aim of this review was to describe the characteristics of chronic disease management training programs for Aboriginal Health Workers and Practitioners, their effectiveness on knowledge and skills, and client-related outcomes, and the enablers, barriers to delivery and participation. Methods Following protocol parameters, a systematic search was conducted in relevant databases and grey literature. Two independent reviewers screened the title and abstract of each paper to determine if the study met the inclusion criteria. Results Of the 23 included studies, most were developed with stakeholders, profession facilitated and delivered by cultural facilitators. All training programs included content knowledge, two included a professional support network, four provided on-the-job support and six had follow-up support post-training. Modes of delivery ranged from didactic, storytelling and hands-on learning. Two studies reported significant improvement in participants' knowledge and confidence; one reported improvement in knowledge (12.7% increase pre-post training), and an increase in confidence in both clinical and non-clinical skills. Enablers (relevance, modes of learning, power of networking, improved knowledge, confidence and clinical practice) and barriers (adult learning capabilities, competing work-family commitments) were reported. Few studies reported on knowledge transfer into clinical practice and client-related outcomes. Conclusions Multifaceted training programs for Aboriginal health workers are well received and may improve workforce capability.
Subject(s)
Health Personnel , Health Services, Indigenous , Primary Health Care , Humans , Chronic Disease/therapy , Disease Management , Health Personnel/education , Australia , Australian Aboriginal and Torres Strait Islander PeoplesABSTRACT
OBJECTIVE: Technology use in type 1 diabetes (T1D) is impacted by socioeconomic status (SES). This analysis explored relationships between SES, glycemic outcomes, and technology use. RESEARCH DESIGN AND METHODS: A cross-sectional analysis of HbA1c data from 2,822 Australian youth with T1D was undertaken. Residential postcodes were used to assign SES based on the Index of Relative Socio-Economic Disadvantage (IRSD). Linear regression models were used to evaluate associations among IRSD quintile, HbA1c, and management regimen. RESULTS: Insulin pump therapy, continuous glucose monitoring, and their concurrent use were associated with lower mean HbA1c across all IRSD quintiles (P < 0.001). There was no interaction between technology use and IRSD quintile on HbA1c (P = 0.624), reflecting a similar association of lower HbA1c with technology use across all IRSD quintiles. CONCLUSIONS: Technology use was associated with lower HbA1c across all socioeconomic backgrounds. Socioeconomic disadvantage does not preclude glycemic benefits of diabetes technologies, highlighting the need to remove barriers to technology access.
Subject(s)
Diabetes Mellitus, Type 1 , Humans , Adolescent , Diabetes Mellitus, Type 1/complications , Glycated Hemoglobin , Cross-Sectional Studies , Blood Glucose Self-Monitoring , Blood Glucose , Australia , Social ClassABSTRACT
BACKGROUND: Inflammation has been implicated in the pathogenesis of diabetes. This study investigated the randomised treatment effect of low-dose aspirin on incident type 2 diabetes and fasting plasma glucose (FPG) concentrations among older adults. METHODS: ASPREE was a double-blind, placebo-controlled trial of daily oral low-dose aspirin. The study population included community-dwelling individuals aged 70 years or older (≥65 years for US minority ethnic groups) in the USA and Australia who were free of cardiovascular disease, independence-limiting physical disability, or dementia. For the post-hoc analysis, we excluded participants with diabetes at baseline or with incomplete or missing incident diabetes data during follow-up. Participants were randomly assigned 1:1 to oral 100 mg daily enteric-coated aspirin or placebo. Incident diabetes was defined as self-reported diabetes, commencement of glucose-lowering medication, or a FPG concentration of 7·0 mmol/L or more assessed at annual follow-up visits among participants with no diabetes at baseline. We used Cox proportional hazards models and mixed-model repeated measures to assess the effect of aspirin on incident diabetes and FPG concentrations in the intention-to-treat population. We assessed major bleeding in participants who had taken at least one dose of study medication. FINDINGS: Between March 10, 2010, and Dec 24, 2014, a total of 16 209 participants were included (8086 [49·9%] randomly assigned to aspirin and 8123 [50·1%] randomly assigned to placebo). During a median follow-up of 4·7 years (IQR 3·6-5·7), 995 (in 6·1% individuals) incident cases of type 2 diabetes were recorded (459 in the aspirin group and 536 in the placebo group). Compared with placebo, the aspirin group had a 15% reduction in risk of incident diabetes (hazard ratio 0·85 [95% CI 0·75 to 0·97]; p=0·013) and a slower rate of increase in FPG concentration at year 5 (between-group difference estimate -0·048 mmol/L [95% CI -0·079 to -0·018]; p=0·0017). Major bleeding (major gastrointestinal bleeding, intracranial bleeding, and clinically significant bleeding at other sites) occurred in 510 (3·2%) of 16 104 participants (300 [3·7%] in the aspirin group and 210 [2·6%] in the placebo group). Compared with placebo, the aspirin group had a 44% increase in risk of major bleeding (hazard ratio 1·44 [95% CI 1·21 to 1·72]; p<0·0001). INTERPRETATION: Aspirin treatment reduced the incidence of type 2 diabetes and slowed the increase in FPG concentration but increased major bleeding among community-dwelling older adults. Given the increasing prevalence of type 2 diabetes among older adults, the potential for anti-inflammatory agents such as aspirin to prevent type 2 diabetes or improve glucose levels warrants further study with a comprehensive assessment of all potential safety events of interest. FUNDING: US National Institute on Aging, US National Cancer Institute, National Health and Medical Research Council of Australia, Monash University, and the Victorian Cancer Agency.
Subject(s)
Diabetes Mellitus, Type 2 , Independent Living , Humans , Aged , Diabetes Mellitus, Type 2/drug therapy , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/prevention & control , Aspirin/therapeutic use , Hemorrhage/drug therapy , Hemorrhage/epidemiology , Glucose , Double-Blind MethodABSTRACT
BACKGROUND: Indigenous populations globally have significantly high rates of type 2 diabetes compared to their non-Indigenous counterparts. This study aims to implement and evaluate the effectiveness of a culturally and contextually informed Aboriginal Diabetes Workforce Training Program on Aboriginal primary health care workforce knowledge, attitude, confidence, skill and practice relating to diabetes care. METHODS: A Cluster Randomised Crossover Control Trial with two arms (Group A and Group B) will be conducted with Aboriginal primary health care services in South Australia. These services primarily provide primary health care to Aboriginal and Torres Strait Islander people. All healthcare service sites will be randomised into groups A and B to receive the training program. The training program consists of three components: 1) Peer support network, 2) E-Learning modules and 3) onsite support. Aboriginal Health Workers of participating sites will be invited to participate in the monthly online peer support network and all chronic disease staff are eligible to participate in the E-Learning modules and onsite support. The Peer Support Network runs for the entirety of the study, 17 months. Training components 2 and 3 occur simultaneously and are 2.5 months in length, with a six-month washout period between the two randomised groups undertaking the training. All primary outcomes of the study relate to diabetes management in a primary health care settings and measure participants' knowledge, attitude, confidence, practice and skills. These will be collected at seven time points across the entire study. Secondary outcomes measure satisfaction of the peer support network using a survey, interviews to understand enablers and barriers to participation, health service systems characteristics through focus groups, and medical record review to ascertain diabetes patients' care received and their clinical outcomes up to 12 months post training intervention. DISCUSSION: The findings will explore the effectiveness of the training program on Aboriginal primary health care provider knowledge, attitude, confidence, skill and practice relating to diabetes care. The final findings will be published in 2027. TRIAL REGISTRATION: The study was prospectively registered in The Australian New Zealand Clinical Trials Registry (ANZCTR), with registration number ACTRN12623000749606 at ANZCTR - Registration. Universal Trial Number (UTN) U1111-1283-5257.
Subject(s)
Culturally Competent Care , Diabetes Mellitus, Type 2 , Health Personnel , Humans , Cross-Over Studies , Diabetes Mellitus, Type 2/therapy , Health Knowledge, Attitudes, Practice , Health Personnel/education , Health Services, Indigenous , Primary Health Care , South Australia , Randomized Controlled Trials as Topic , Australian Aboriginal and Torres Strait Islander PeoplesABSTRACT
OBJECTIVES: To explore associations between type and number of abnormal glucose values on antenatal oral glucose tolerance test (OGTT) with postpartum diabetes in South Asian women diagnosed with gestational diabetes (GDM) using International Association of the Diabetes and Pregnancy Study Groups criteria. METHODS: This post-hoc evaluation of the Lifestyle Intervention IN Gestational Diabetes (LIVING) study, a randomized controlled trial, was conducted among women with GDM in the index pregnancy, across 19 centers in Bangladesh, India, and Sri Lanka. Postpartum diabetes (outcome) was defined on OGTT, using American Diabetes Association (ADA) criteria. RESULTS: We report data on 1468 women with GDM, aged 30.9 (5.0) years, and with median (interquartile range) follow-up period of 1.8 (1.4-2.4) years after childbirth following the index pregnancy. We found diabetes in 213 (14.5%) women with an incidence of 8.7 (7.6-10.0)/100 women-years. The lowest incidence rate was 3.8/100 women years, in those with an isolated fasting plasma glucose (FPG) abnormality, and highest was 19.0/100 women years in participants with three abnormal values. The adjusted hazard ratios for two and three abnormal values compared to one abnormal value were 1.73 (95% confidence interval [CI], 1.18-2.54; p = .005) and 3.56 (95% CI, 2.46-5.16; p < .001) respectively. The adjusted hazard ratio for the combined (combination of fasting and postglucose load) abnormalities was 2.61 (95% CI, 1.70-4.00; p < .001), compared to isolated abnormal FPG. CONCLUSIONS: Risk of diabetes varied significantly depending upon the type and number of abnormal values on antenatal OGTT. These data may inform future precision medicine approaches such as risk prediction models in identifying women at higher risk and may guide future targeted interventions.
Subject(s)
Blood Glucose , Diabetes, Gestational , Glucose Tolerance Test , Postpartum Period , Humans , Female , Pregnancy , Diabetes, Gestational/epidemiology , Diabetes, Gestational/diagnosis , Diabetes, Gestational/blood , Adult , Blood Glucose/analysis , Blood Glucose/metabolism , Risk Factors , Incidence , Sri Lanka/epidemiology , India/epidemiology , Bangladesh/epidemiology , Prognosis , Follow-Up StudiesABSTRACT
AIMS: This study aimed to develop a prediction model for identifying a woman with gestational diabetes mellitus (GDM) at high risk of type 2 diabetes (T2DM) post-birth. METHODS: Utilising data from 1299 women in the Lifestyle Intervention IN Gestational Diabetes (LIVING) study, two models were developed: one for pregnancy and another for postpartum. Key predictors included glucose test results, medical history, and biometric indicators. RESULTS: Of the initial cohort, 124 women developed T2DM within three years. The study identified seven predictors for the antenatal T2DM risk prediction model and four for the postnatal one. The models demonstrated good to excellent predictive ability, with Area under the ROC Curve (AUC) values of 0.76 (95% CI: 0.72 to 0.80) and 0.85 (95% CI: 0.81 to 0.88) for the antenatal and postnatal models, respectively. Both models underwent rigorous validation, showing minimal optimism in predictive capability. Antenatal model, considering the Youden index optimal cut-off point of 0.096, sensitivity, specificity, and accuracy were measured as 70.97%, 70.81%, and 70.82%, respectively. For the postnatal model, considering the cut-off point 0.086, sensitivity, specificity, and accuracy were measured as 81.40%, 75.60%, and 76.10%, respectively. CONCLUSIONS: These models are effective for predicting T2DM risk in women with GDM, although external validation is recommended before widespread application.