Inequalities in the management of diabetic kidney disease in UK primary care: A cross-sectional analysis of a large primary care database.

AIMS: To determine differences in the management of diabetic kidney disease (DKD) relevant to patient sex, ethnicity and socio-economic group in UK primary care. METHODS: A cross-sectional analysis as of January 1, 2019 was undertaken using the IQVIA Medical Research Data dataset, to determine the proportion of people with DKD managed in accordance with national guidelines, stratified by demographics. Robust Poisson regression models were used to calculate adjusted risk ratios (aRR) adjusting for age, sex, ethnicity and social deprivation. RESULTS: Of the 2.3 million participants, 161,278 had type 1 or 2 diabetes, of which 32,905 had DKD. Of people with DKD, 60% had albumin creatinine ratio (ACR) measured, 64% achieved blood pressure (BP, <140/90 mmHg) target, 58% achieved glycosylated haemoglobin (HbA1c, <58 mmol/mol) target, 68% prescribed renin-angiotensin-aldosterone system (RAAS) inhibitor in the previous year. Compared to men, women were less likely to have creatinine: aRR 0.99 (95% CI 0.98-0.99), ACR: aRR 0.94 (0.92-0.96), BP: aRR 0.98 (0.97-0.99), HbA1c : aRR 0.99 (0.98-0.99) and serum cholesterol: aRR 0.97 (0.96-0.98) measured; achieve BP: aRR 0.95 (0.94-0.98) or total cholesterol (<5 mmol/L) targets: aRR 0.86 (0.84-0.87); or be prescribed RAAS inhibitors: aRR 0.92 (0.90-0.94) or statins: aRR 0.94 (0.92-0.95). Compared to the least deprived areas, people from the most deprived areas were less likely to have BP measurements: aRR 0.98 (0.96-0.99); achieve BP: aRR 0.91 (0.8-0.95) or HbA1c : aRR 0.88 (0.85-0.92) targets, or be prescribed RAAS inhibitors: aRR 0.91 (0.87-0.95). Compared to people of white ethnicity; those of black ethnicity were less likely to be prescribed statins aRR 0.91 (0.85-0.97). CONCLUSIONS: There are unmet needs and inequalities in the management of DKD in the UK. Addressing these could reduce the increasing human and societal cost of managing DKD.

Addressing health inequalities in diabetes through research: Recommendations from Diabetes UK's 2022 health inequalities in diabetes workshop.

AIMS: To develop a position statement which identifies research priorities to address health inequalities in diabetes and provides recommendations to researchers and research funders on how best to conduct research in these areas. METHODS: A two-day research workshop was conducted bringing together research experts in diabetes, research experts in health inequalities, healthcare professionals and people living with diabetes. RESULTS: The following key areas were identified as needing increased focus: How can we improve patient and public involvement and engagement to make diabetes research more inclusive of and relevant to diverse communities? How can we improve research design so that the people who could benefit most are represented? How can we use theories from implementation science to facilitate the uptake of research findings into routine practice to reach the populations with highest need? How can we collate and evaluate local innovation projects and disseminate best practice around tackling health inequalities in diabetes? How can we best collect and use data to address health inequalities in diabetes, including the harnessing of real-world and routinely collected data? How could research funders allocate funds to best address health inequalities in diabetes? How do we ensure the research community is representative of the general population? CONCLUSIONS: This position statement outlines recommendations to address the urgent need to tackle health inequalities in diabetes through research and calls on the diabetes research community to act upon these recommendations to ensure future research works to eliminate unfair and avoidable disparities in health.

Burden of undiagnosed and suboptimally controlled diabetes in selected regions of India: Results from the SMART India population-level diabetes screening study.

AIMS: To estimate the prevalence of undiagnosed diabetes and suboptimally controlled diabetes and the associated risk factors by community screening in India. METHODS: In this multi-centre, cross-sectional study, house-to-house screening was conducted in people aged ≥40 years in urban and rural areas across 10 states and one union territory in India between November 2018 and March 2020. Participants underwent anthropometry, clinical and biochemical assessments. Capillary random blood glucose and point-of-care glycated haemoglobin (HbA1c ) were used to diagnose diabetes. The prevalence of undiagnosed diabetes and suboptimal control (HbA1c ≥53 mmol/mol [≥7%]) among those with known diabetes was assessed. RESULTS: Among the 42,146 participants screened (22,150 urban, 19,996 rural), 5689 had known diabetes. The age-standardised prevalence of known diabetes was 13.1% (95% CI 12.8-13.4); 17.2% in urban areas and 9.4% in rural areas. The age-standardised prevalence of undiagnosed diabetes was 6.0% (95% CI 5.7-6.2); similar in both urban and rural areas with the highest proportions seen in the East (8.0%) and South (7.8%) regions. When we consider all people with diabetes in the population, 22.8% of individuals in urban areas and 36.7% in rural areas had undiagnosed diabetes. Almost 75% of the individuals with known diabetes had suboptimal glycaemic control. CONCLUSIONS: High prevalence of undiagnosed diabetes and suboptimally controlled diabetes emphasises the urgent need to identify and optimally treat people with diabetes to reduce the burden of diabetes.

The Use of Digital Health Interventions for Cardiometabolic Diseases Among South Asian and Black Minority Ethnic Groups: Realist Review.

BACKGROUND: Digital health interventions (DHIs) for the prevention and management of cardiometabolic diseases have become increasingly common. However, there is limited evidence for the suitability of these approaches in minority ethnic populations, who are at an increased risk of these diseases. OBJECTIVE: This study aimed to investigate the use of DHIs for cardiovascular disease and type 2 diabetes among minority ethnic populations in countries with a majority of White, English-speaking populations, focusing on people who identified as South Asian, Black, or African American. METHODS: A realist methodology framework was followed. A literature search was conducted to develop context-mechanism-outcome configurations, including the contexts in which DHIs work for the target minority ethnic groups, mechanisms that these contexts trigger, and resulting health outcomes. After systematic searches, a qualitative analysis of the included studies was conducted using deductive and inductive coding. RESULTS: A total of 15 studies on the uptake of DHIs for cardiovascular disease or diabetes were identified, of which 13 (87%) focused on people with an African-American background. The review found evidence supporting the use of DHIs in minority ethnic populations when specific factors are considered in implementation and design, including patients' beliefs, health needs, education and literacy levels, material circumstances, culture, social networks, and wider community and the supporting health care systems. CONCLUSIONS: Our context-mechanism-outcome configurations provide a useful guide for the future development of DHIs targeted at South Asian and Black minority ethnic populations, with specific recommendations for improving cultural competency and promoting accessibility and inclusivity of design.

Breaking Barriers With Basal Insulin Biosimilars in Type 2 Diabetes.

Despite increases in the availability and effectiveness of other therapies, insulin remains an essential treatment for approximately 30 million people with type 2 diabetes worldwide. The development of biosimilars has created the potential for significant health care cost savings and may lead to greater access to basal insulin for vast populations. In this review, we discuss evidence demonstrating equipoise between basal insulin biosimilars and the patented analogs they may replace.

A UK nationwide study of people with type 1 diabetes admitted to hospital with COVID-19 infection.

AIMS/HYPOTHESIS: The aim of this work was to describe the clinical characteristics of adults with type 1 diabetes admitted to hospital and the risk factors associated with severe coronavirus disease-2019 (COVID-19) in the UK. METHODS: A retrospective cohort study was performed using data collected through a nationwide audit of people admitted to hospital with diabetes and COVID-19, conducted by the Association of British Clinical Diabetologists from March to October 2020. Prespecified demographic, clinical, medication and laboratory data were collected from the electronic and paper medical record systems of the participating hospitals by local clinicians. The primary outcome of the study, severe COVID-19, was defined as death in hospital and/or admission to the adult intensive care unit (AICU). Logistic regression models were used to generate age-adjusted ORs. RESULTS: Forty UK centres submitted data. The final dataset included 196 adults who were admitted to hospital and had both type 1 diabetes and COVID-19 on admission (male sex 55%, white 70%, with mean [SD] age 62 [19] years, BMI 28.3 [7.3] kg/m2 and last recorded HbA1c 76 [31] mmol/mol [9.1 (5.0)%]). The prevalence of pre-existing microvascular disease and macrovascular disease was 56% and 39%, respectively. The prevalence of diabetic ketoacidosis on admission was 29%. A total of 68 patients (35%) died or were admitted to AICU. The proportions of people that died were 7%, 38% and 38% of those aged <55, 55-74 and ≥75 years, respectively. BMI, serum creatinine levels and having one or more microvascular complications were positively associated with the primary outcome after adjusting for age. CONCLUSIONS/INTERPRETATION: In people with type 1 diabetes and COVID-19 who were admitted to hospital in the UK, higher BMI, poorer renal function and presence of microvascular complications were associated with greater risk of death and/or admission to AICU. Risk of severe COVID-19 is reassuringly very low in people with type 1 diabetes who are under 55 years of age without microvascular or macrovascular disease. IN PEOPLE WITH TYPE 1 DIABETES AND COVID-19 ADMITTED TO HOSPITAL IN THE UK, BMI AND ONE OR MORE MICROVASCULAR COMPLICATIONS HAD A POSITIVE ASSOCIATION AND LOW SERUM CREATINE LEVELS HAD A NEGATIVE ASSOCIATION WITH DEATH/ADMISSION TO INTENSIVE CARE UNIT AFTER ADJUSTING FOR AGE.

Pharmacological management of South Asians with type 2 diabetes: Consensus recommendations from the South Asian Health Foundation.

South Asians constitute approximately 1.6 billion people from the Indian subcontinent, comprising Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan and Sri Lanka; and make up the largest diaspora globally. Compared to the White European population, this group is at a higher risk of developing type 2 diabetes along with cardiovascular, renal and eye complications. Over the recent years, a number of new therapies for type 2 diabetes have become available for which cardiovascular outcome trials (CVOTs) have been published. The recent ADA/EASD consensus guidelines on diabetes, pre-diabetes and cardiovascular diseases' offer a transitional shift in type 2 diabetes management. The new consensus recommendations are based on recent CVOTs, many of which had a representation of South Asian cohorts. In light of this new evidence, there is urgent need for an integrated, evidence-based, cost-effective and individualised approach specific for South Asians. This review takes into consideration the evidence from these CVOTs and provides best practice recommendations for optimal management of South Asian people with type 2 diabetes, alongside the previously published consensus report from South Asian Health Foundation in 2014 [1].

Completion of annual diabetes care processes and mortality: A cohort study using the National Diabetes Audit for England and Wales.

AIM: To conduct an analysis to assess whether the completion of recommended diabetes care processes (glycated haemoglobin [HbA1c], creatinine, cholesterol, blood pressure, body mass index [BMI], smoking habit, urinary albumin, retinal and foot examinations) at least annually is associated with mortality. MATERIALS AND METHODS: A cohort from the National Diabetes Audit of England and Wales comprising 179 105 people with type 1 and 1 397 790 people with type 2 diabetes, aged 17 to 99 years on January 1, 2009, diagnosed before January 1, 2009 and alive on April 1, 2013 was followed to December 31, 2019. Cox proportional hazards models adjusting for demographic characteristics, smoking, HbA1c, blood pressure, serum cholesterol, BMI, duration of diagnosis, estimated glomerular filtration rate, prior myocardial infarction, stroke, heart failure, respiratory disease and cancer, were used to investigate whether care processes recorded January 1, 2009 to March 31, 2010 were associated with subsequent mortality. RESULTS: Over a mean follow-up of 7.5 and 7.0 years there were 26 915 and 388 093 deaths in people with type 1 and type 2 diabetes, respectively. Completion of five or fewer, compared to eight, care processes (retinal screening not included as data were not reliable) had a mortality hazard ratio (HR) of 1.37 (95% confidence interval [CI] 1.28-1.46) in people with type 1 and 1.32 (95% CI 1.30-1.35) in people with type 2 diabetes. The HR was higher for respiratory disease deaths and lower in South Asian ethnic groups. CONCLUSIONS: People with diabetes who have fewer routine care processes have higher mortality. Further research is required into whether different approaches to care might improve outcomes for this high-risk group.

Sodium-glucose co-transporter-2 inhibitors and susceptibility to COVID-19: A population-based retrospective cohort study.

Sodium-glucose co-transporter-2 (SGLT2) inhibitors are widely prescribed in people with type 2 diabetes. We aimed to investigate whether SGLT2 inhibitor prescription is associated with COVID-19, when compared with an active comparator. We performed a propensity-score-matched cohort study with active comparators and a negative control outcome in a large UK-based primary care dataset. Participants prescribed SGLT2 inhibitors (n = 9948) and a comparator group prescribed dipeptidyl peptidase-4 (DPP-4) inhibitors (n = 14 917) were followed up from January 30 to July 27, 2020. The primary outcome was confirmed or clinically suspected COVID-19. The incidence rate of COVID-19 was 19.7/1000 person-years among users of SGLT2 inhibitors and 24.7/1000 person-years among propensity-score-matched users of DPP-4 inhibitors. The adjusted hazard ratio was 0.92 (95% confidence interval 0.66 to 1.29), and there was no evidence of residual confounding in the negative control analysis. We did not observe an increased risk of COVID-19 in primary care amongst those prescribed SGLT2 inhibitors compared to DPP-4 inhibitors, suggesting that clinicians may safely use these agents in the everyday care of people with type 2 diabetes during the COVID-19 pandemic.

Cardio-metabolic outcomes in South Asians compared to White Europeans in the United Kingdom: a matched controlled population-based cohort study.

BACKGROUND: There appears to be an inequality in the risk of cardio-metabolic disease between those from a South Asian (SA) background when compared to those of White Europeans (WE) descendance, however, this association has not been explored in a large European cohort. This population-based open retrospective cohort explores the incidence of cardio-metabolic disease in those without pre-existing cardiometabolic disease taken from a large UK primary care database from 1st January 2007 to 31st December 2017. METHODS: A retrospective open cohort matched population-based study using The Health Improvement Network (THIN) database. The outcomes of this study were the incidences of cardio-metabolic events (type 2 diabetes mellitus, hypertension, ischemic heart disease, stroke, heart failure, and atrial fibrillation). RESULTS: A total of 94,870 SA patients were matched with 189,740 WE patients. SA were at an increased risk of developing: T2DM (adjusted hazard ratio (aHR) 3.1; 95% CI 2.97-3.23); HTN (1.34; 95% CI: 1.29-1.39); ischaemic heart disease (IHD) (1.81; 95% CI: 1.68-1.93) and heart failure (HF) (1.11; 95% CI: 1.003-1.24). However, they were at a lower risk of atrial fibrillation (AF) (0.53; 95% CI: 0.48-0.59) when compared to WE. Of those of SA origin, the Bangladeshi community were at the greatest risk of T2DM, HTN, IHD and HF, but were at the lowest risk of AF in when compared to Indians and Pakistanis. CONCLUSION: Considering the high risk of cardio-metabolic diseases in the SA cohort, differential public health measures should be considered in these patients to reduce their risk of disease, which may be furthered tailored depending on their country of origin.

Serum testosterone, sex hormone-binding globulin and sex-specific risk of incident type 2 diabetes in a retrospective primary care cohort.

OBJECTIVE: Previous studies suggest that androgens have a sexually dimorphic impact on metabolic dysfunction. However, the sex-specific link between circulating androgens and risk of type 2 diabetes mellitus (T2DM) has not been examined in a large scale, longitudinal cohort, a task we undertook in this study. DESIGN: A retrospective cohort study in a UK primary care database. PATIENTS: We included men and women with available serum testosterone and sex hormone-binding globulin (SHBG) results. MEASUREMENTS: We categorized serum concentrations according to clinically relevant cut-off points and calculated crude and adjusted T2DM Incidence Rate Ratios (IRRs and aIRRs). RESULTS: Serum testosterone concentrations were available in 70 541 men and 81 889 women; serum SHBG was available in 15 907 men and 42 034 women. In comparison to a reference cohort with serum testosterone ≥20 nmol/L, men with lower serum testosterone had a significantly increased risk of T2DM, with the highest risk in those with serum testosterone <7 nmol/L (aIRR 2.71, 95% CI 2.34-3.14, P < 0.001). In women, the risk of T2DM started to increase significantly when serum testosterone concentrations exceeded 1.5 nmol/L, with the highest risk in women with serum testosterone ≥3.5 nmol/L (aIRR 1.98, 95% CI 1.55-2.52, P < 0.001). These observations were verified in a continuous rather than categorized analysis. The risk of T2DM increased in men and women with serum SHBG <40 and <50 nmol/L, respectively. CONCLUSIONS/INTERPRETATION: In this longitudinal study, we found sexually dimorphic associations between serum testosterone and risk of incident T2DM. Androgen deficiency and excess should be considered important risk factors for diabetes in men and women, respectively.

Prevalence and incidence of complications at diagnosis of T2DM and during follow-up by BMI and ethnicity: a matched case-control analysis.

AIMS: To estimate the risk of developing long-term major cardiovascular and renal complications in relation to levels of body mass index (BMI) in a population of White European (WE), African-Caribbean (AC), and South Asian (SA) patients with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: Patients with new diagnosis of T2DM, aged ≥ 18 years from January 2000 (n = 69,436) and their age-sex-ethnicity matched non-diabetic controls (n = 272,190) were identified from UK primary care database. Incidence rates ratios (IRRs) for non-fatal major cardiovascular events (MACE) and chronic kidney disease (CKD) in patients with T2DM compared to controls were estimated using multivariate Mantel-Cox model. RESULTS: Among normal weight patients with T2DM, WEs had significantly higher prevalence of cardiovascular multi-morbidity (95% CI 9.5, 11.3), compared to SAs (95% CI 4.8, 9.5). AC and SA overweight and obese patients had similar prevalence, while obese WEs had significantly higher prevalence. During a median 7 years of follow-up, risk of MACE was significantly higher for overweight (95% CI of IRR 1.50, 2.46) and obese (95% CI of IRR 1.49, 2.43) SAs compared to their WE counterparts. However, similar risk levels were observed for normal weight WEs and SAs, respectively. Risk of CKD was higher and uniform for BMI ≥ 25 kg/m2 amongst WEs and ACs, whereas only overweight patients had significantly higher risk of CKD amongst SA [IRR 2.08 (95% CI 1.49, 2.93)]. CONCLUSION: Risk of MACE/CKD varies over levels of BMI within each ethnic group, with overweight SAs having a disproportionate risk of CKD.

Initiation of dapagliflozin and treatment-emergent fractures.

An increase in fracture risk has been reported in patients with type 2 diabetes mellitus (T2DM) treated with canagliflozin, possibly mediated by effects induced by all members of the sodium-glucose co-transporter-2 (SGLT2) inhibitor class. It is unclear whether initiation of dapagliflozin is followed by an increase in the risk of fracture; therefore, we performed a population-based, open cohort study (from January 2013 to January 2016) using The Health Improvement Network (THIN). A total of 22 618 people with T2DM (4548 exposed to dapagliflozin and 18 070 receiving standard antidiabetic treatment, matched for age, sex, body mass index and diabetes duration) with no history of fractures at baseline were included. The primary outcome was the occurrence of any fragility fracture (hip, spine, wrist) during the observation period. Risk of any fracture served as a secondary outcome. Adjusted hazard rate ratios (HRs) with 95% confidence intervals (CIs) were calculated using Cox regression. A total of 289 fractures (132 fragility fractures) were recorded. No difference in the risk of fragility fracture was detected between participants prescribed dapagliflozin and matched control participants (crude HR 0.90, 95% CI 0.59-1.39, P = .645; adjusted HR 0.87, 95% CI 0.56-1.35, P = .531). Similarly, no difference in the risk of any fracture was detected (adjusted HR 0.89, 95% CI 0.66-1.20; P = .427). Sensitivity analyses limited to the subset of the population at high risk of fracture produced similar results; thus, there was no evidence to suggest an increase in the risk of treatment-emergent fractures in patients with T2DM who initiated treatment with dapagliflozin.

Comparison of body mass index at diagnosis of diabetes in a multi-ethnic population: A case-control study with matched non-diabetic controls.

AIMS: To investigate the probability of developing type 2 diabetes mellitus (T2DM) at different body mass index levels compared to matched non-diabetic controls in a multi-ethnic population. MATERIALS AND METHODS: This was a case-control study of 90 367 patients with incident diabetes and 362 548 age-sex-ethnicity matched controls from UK primary care. The probability of developing T2DM was estimated. RESULTS: Case and control patients were 56 years old at index and 56% were male. Patients with T2DM had significantly higher mean BMI levels by about 5 kg/m2 at diagnosis (32.2 kg/m2 ) compared to the matched controls (27.4 kg/m2 ). White Europeans (n = 79 270), African-Caribbeans (n = 4115) and South Asians (n = 7252) were 58, 48 and 46 years old with a mean BMI of 32.5, 31.1 and 29.2 kg/m2 , respectively, at diagnosis. More South Asians developed T2DM at BMI below 30 kg/m2 (38%) than White Europeans (26%) and African-Caribbeans (29%) (all P < .01). Within the 18 to 70-year age range, South Asian males and females had a significantly higher probability of developing diabetes in the continuously measured BMI range of 18 to 30 kg/m2 , compared to White Europeans and African-Caribbeans. Across all age groups <70 years, South Asians and African-Caribbeans had a significantly higher probability of developing T2DM in the normal weight and overweight categories, compared to White Europeans. However, this risk pattern of developing diabetes was reversed amongst the obese in all age groups. CONCLUSION: Risk patterns of developing diabetes at different levels of obesity varies among ethnic groups across all ages, while South Asians and African-Caribbeans carry the highest risk at a younger age and at lower adiposity burden.

Prevalence of undiagnosed type 2 diabetes in patients admitted with acute coronary syndrome: the utility of easily reproducible screening methods.

BACKGROUND: Despite the recognition of the importance of diagnosing dysglycaemia in patients with acute coronary syndrome (ACS) there remains a lack of consensus on the best screening modality. Our primary aims were to determine the prevalence of undiagnosed dysglycaemia and to compare the OGTT and HbA1c criteria for diagnosis of T2DM in patients admitted to hospital with ACS at baseline and at 3-months. We also aimed to investigate the role of a screening algorithm and a predictor score to define glucose tolerance in this population. METHODS: A prospective study in which patients admitted with ACS to two UK teaching hospitals were assessed at baseline and 3 months follow-up. RESULTS: The prevalence of diabetes at baseline was 20% and 16% based on OGTT and HbA1c criteria respectively. Forty three (43) % of the patients with T2DM based on OGTT would have been missed by the HbA1c criteria at baseline. Our screening algorithm identified 87% of patients with T2DM diagnosed with OGTT. Diabetes Predictor score had better sensitivity (>80%) and negative predictive value (>90%) compared to HbA1c criteria. Two thirds of participants with IGS and a third with T2DM changed their glycaemic status at 3 months. CONCLUSIONS: Only 48% of the patients admitted with ACS had normo-glycaemia based on OGTT. OGTT and HbA1c identified two different populations of patients with dysglycaemia with the HbA1c criteria missing almost half the patients with T2DM based on OGTT. Compared to HbA1c criteria our diabetes algorithm and diabetes predictor score had a better correlation with OGTT criteria.

Burnout among diabetes specialist registrars across the United Kingdom in the post-pandemic era.

Introduction: Burnout syndrome is a condition resulting from chronic work-related stress exposure and can be identified by the presence of one or more of the three classic dimensions of burnout, i.e., emotional exhaustion, depersonalization, and lack of personal accomplishment, which negatively impact physician health and productivity. Objective: This study aimed to identify burnout among Diabetes and Endocrinology Specialty Training Registrars (DStRs) across the United Kingdom. Design/setting: It was a Cross-sectional observational study after ethical approval ERSC_2022_1166, utilizing the gold standard Maslach Burnout Inventory to measure burnout syndrome, and to determine self-reported stressors and compare them with the results of our previous survey in 2018. Participants: Over 430 DStRs across the United Kingdom were invited electronically through their deanery representatives and specialty training bodies. Results: Using Google Forms™ to gather data, we were able to collect 104 completed surveys. Results revealed that 62.5% (n = 65) of participants have burnout (5% increase from the previous survey in 2018), 38.6% (n = 40) have high emotional exhaustion, and 44.2% (n = 46) feel a lack of personal accomplishment. "General Internal Medicine specific workload" was the most common self-reported stressor reported by 87.5% (n = 91) of participants, whereas bullying/harassment and discrimination at work were reported by 35.6% (n = 37) and 30.77% (n = 32) of participants, respectively. Using multivariable logistic regression model, personal stress (OR, 4.00; 95% CI, 1.48-10.86; p = 0.006) had significant, while Bullying/harassment (OR, 3.75; 95% CI, 0.93-15.12; p = 0.063) had marginal impact on the presence of burnout. Conclusion: Diabetes and Endocrinology Specialty Training Registrars frequently experience burnout syndrome, which has increased over the last 4 years. However, organizational changes can help identify, prevent, and treat physician burnout. Trial registration: NCT05481021 available at https://ichgcp.net/clinical-trials-registry/NCT05481021.

Missed Opportunities in Type 2 Diabetes Mellitus: A Narrative Review.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a significant health problem around the world. OBJECTIVE: This review aims to define missed opportunities and how they apply to patients with T2DM. METHOD: This narrative review describes the natural history of T2DM and also describes where missed opportunities may arise. RESULTS: Missed opportunities may relate to prevention, early detection, diagnosis, and treatment of diabetes. The cornerstone of T2DM prevention is the control of modifiable risk factors and lifestyle changes to potentially prevent diabetes. Early detection of T2DM is important as it is a chronic condition that can progress rapidly if untreated. Missed opportunities related to the diagnosis of T2DM draw attention to the heterogeneous presentation of diabetes. The condition can be incidentally identified in asymptomatic patients, so all healthcare professionals should be aware of the disease. Furthermore, it is not unexpected that patients with atypical symptoms may have a delay in diagnosis. The treatment-related missed opportunities in T2DM are broad and include self-care, education, remission of T2DM, risk factor management, prevention of complications, medication therapy and compliance, as well as individualized care. Considering patient pathways is a useful approach to evaluate missed opportunities in patient care. CONCLUSION: Missed opportunities are a concept that is not often considered in diabetes care, which calls upon reflection of real-world activities and consideration of whether patient outcomes could have been improved with changes in decision-making. Future studies that aim to improve patient care should consider this concept.