Impact of weight loss and weight gain trajectories on body composition in a population at high risk of type 2 diabetes: A prospective cohort analysis.

AIM: In a primary care population at high risk of type 2 diabetes, 24-month weight change trajectories were used to investigate the impact of weight cycling on fat mass (FM) and fat-free mass (FFM). MATERIALS AND METHODS: Cohort data from the Walking Away from Type 2 Diabetes trial was used, which recruited adults at-risk of type 2 diabetes from primary care in 2009/10. Annual weight change trajectories based on weight loss/gain of ≥5% were assessed over two 24-month periods. Body composition was measured by bioelectrical impedance analysis. Repeated measures were analysed using generalized estimating equations with participants contributing up to two 24-month observation periods. RESULTS: In total, 622 participants were included (average age = 63.6 years, body mass index = 32.0 kg/m2 , 35.4% women), contributing 1163 observations. Most observations (69.2%) were from those that maintained their body weight, with no change to FM or FFM. A minority (4.6% of observations) lost over 5% of body weight between baseline and 12 months, which was then regained between 12 and 24 months. These individuals regained FM to baseline levels, but lost 1.50 (0.66, 2.35) kg FFM, adjusted for confounders. In contrast, those that gained weight between baseline and 12 months but lost weight between 12 and 24 months (5.5% of observations) had a net gain in FM of 1.70 (0.27, 3.12) kg with no change to FFM. CONCLUSION: Weight cycling may be associated with a progressive loss in FFM and/or gain in FM in those with overweight and obesity at-risk of type 2 diabetes.

Self-reported walking pace, polygenic risk scores and risk of coronary artery disease in UK biobank.

BACKGROUND AND AIMS: Both polygenic risk scores (PGS) and self-reported walking pace have been shown to predict cardiovascular disease; whether combining both factors produces greater risk differentiation is, however, unknown. METHODS AND RESULTS: We estimated the 10-year absolute risk of coronary artery disease (CAD), adjusted for traditional risk factors, and the C-index across nine PGS and self-reported walking pace in UK Biobank study participants between Mar/2006-Feb/2021. In 380,693 individuals (54.8% women), over a median (5th, 95th percentile) of 11.9 (8.3, 13.4) years, 2,603 (1.2%) CAD events occurred in women and 8,259 (4.8%) in men. Both walking pace and genetic risk were strongly associated with CAD. The absolute 10-year risk of CAD was highest in slow walkers at high genetic risk (top 20% of PGS): 2.72% (95% CI: 2.30-3.13) in women; 9.60% (8.62-10.57) in men. The risk difference between slow and brisk walkers was greater at higher [1.26% (0.81-1.71) in women; 3.63% (2.58-4.67) in men] than lower [0.76% (0.59-0.93) and 2.37% (1.96-2.78), respectively] genetic risk. Brisk walkers at high genetic risk had equivalent (women) or higher (men) risk than slow walkers at moderate-to-low genetic risk (bottom 80% of PGS). When added to a model containing traditional risk factors, both factors separately improved risk discrimination; combining them resulted in the greatest discrimination: C-index of 0.801 (0.793-0.808) in women; 0.732 (0.728-0.737) in men. CONCLUSION: Self-reported slow walkers at high genetic risk had the greatest risk of CAD, identifying a potentially important population for intervention. Both PGS and walking pace contributed to risk discrimination.

Efficacy of COVID-19 vaccines by race and ethnicity.

OBJECTIVES: Vaccine uptake amongst ethnic minority populations has been persistently lower, which may be because of socio-economic factors such as health literacy and health insurance status. This review aimed to assess to what extent COVID-19 clinical trials have considered the impact of race and ethnicity on COVID-19 vaccine safety and efficacy. STUDY DESIGN: This was a systematic review. METHODS: Data regarding ethnicity in COVID-19 vaccine clinical trials were systematically reviewed according to Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines in this systematic review, which ran from inception until June 2021. Three international databases, PubMed, Scopus and Web of Science, were used to conduct systematic article searches. Only two studies reported vaccine efficacy among ethnic minority groups. RESULTS: The efficacy of the mRNA-1273 vaccine was confirmed to be 95% in Caucasians and 97.5% in 'people of colour' in a study by Baden et al. In another study by Polack et al., BNT162b2 mRNA vaccine efficacy was reported to be 95.2% in Caucasians, 100% in Afro-Caribbean or African Americans, 94.2% in Hispanic or Latinx and 95.4% in non-Hispanic, non-Latinx people. CONCLUSIONS: Given the highly differing effect of COVID-19 on the Afro-Caribbean, Hispanic and South Asian populations, it is imperative for COVID-19 vaccine clinical trials to thoroughly assess the safety and efficacy of vaccines in different ethnicities and, if necessary, develop ethnicity-specific protocols, which can minimise the disproportionate effect of COVID-19 on ethnic minority populations.

2022 update to the position statement by Primary Care Diabetes Europe: a disease state approach to the pharmacological management of type 2 diabetes in primary care.

Type 2 diabetes and its associated comorbidities are growing more prevalent, and the complexity of optimising glycaemic control is increasing, especially on the frontlines of patient care. In many countries, most patients with type 2 diabetes are managed in a primary care setting. However, primary healthcare professionals face the challenge of the growing plethora of available treatment options for managing hyperglycaemia, leading to difficultly in making treatment decisions and contributing to treatment and therapeutic inertia. This position statement offers a simple and patient-centred clinical decision-making model with practical treatment recommendations that can be widely implemented by primary care clinicians worldwide through shared-decision conversations with their patients. It highlights the importance of managing cardiovascular disease and elevated cardiovascular risk in people with type 2 diabetes and aims to provide innovative risk stratification and treatment strategies that connect patients with the most effective care.

Trends in 30-day readmissions following hospitalisation for heart failure by sex, socioeconomic status and ethnicity.

Background: Reducing the high patient and economic burden of early readmissions after hospitalisation for heart failure (HF) has become a health policy priority of recent years. Methods: An observational study linking Hospital Episode Statistics to socioeconomic and death data in England (2002-2018). All first hospitalisations with a primary discharge code for HF were identified. Quasi-poisson models were used to investigate trends in 30-day readmissions by age, sex, socioeconomic status and ethnicity. Findings: There were 698,983 HF admissions, median age 81 years [IQR 14].In-hospital deaths reduced by 0.7% per annum (pa), whilst additional deaths at 30-days remained stable at 5%. Age adjusted 30-day readmissions (21% overall), increased by 1.4% pa (95% CI 1.3-1.5). Readmissions for HF (6%) and 'other cardiovascular disease (CVD)' (3%) remained stable, but readmissions for non-CVD causes (12%) increased at a rate of 2.6% (2.4-2.7) pa. Proportions were similar by sex but trends diverged by ethnicity. Black groups experienced an increase in readmissions for HF (1.8% pa, interaction-p 0.03) and South Asian groups had more rapidly increasing readmission rates for non-CVD causes (interaction-p 0.04). Non-CVD readmissions were also more prominent in the least (15%; 15-15) compared to the most affluent group (12%; 12-12). Strongest predictors for HF readmission were Black ethnicity and chronic kidney disease, whilst cardiac procedures were protective. For non-CVD readmissions, strongest predictors were non-CVD comorbidities, whilst cardiologist care was protective. Interpretation: In HF, despite readmission reduction policies, 30-day readmissions have increased, impacting the least affluent and ethnic minority groups the most. Funding: NIHR.

Association of working shifts, inside and outside of healthcare, with severe COVID-19: an observational study.

BACKGROUND: Health and key workers have elevated odds of developing severe COVID-19; it is not known, however, if this is exacerbated in those with irregular work patterns. We aimed to investigate the odds of developing severe COVID-19 in health and shift workers. METHODS: We included UK Biobank participants in employment or self-employed at baseline (2006-2010) and with linked COVID-19 data to 31st August 2020. Participants were grouped as neither a health worker nor shift worker (reference category) at baseline, health worker only, shift worker only, or both, and associations with severe COVID-19 investigated in logistic regressions. RESULTS: Of 235,685 participants (81·5% neither health nor shift worker, 1·4% health worker only, 16·9% shift worker only, and 0·3% both), there were 580 (0·25%) cases of severe COVID-19. The odds of severe COVID-19 was higher in health workers (adjusted odds ratio: 2·32 [95% CI: 1·33, 4·05]; shift workers (2·06 [1·72, 2·47]); and in health workers who worked shifts (7·56 [3·86, 14·79]). Being both a health worker and a shift worker had a possible greater impact on the odds of severe COVID-19 in South Asian and Black and African Caribbean ethnicities compared to White individuals. CONCLUSIONS: Both health and shift work (measured at baseline, 2006-2010) were independently associated with over twice the odds of severe COVID-19 in 2020; the odds were over seven times higher in health workers who work shifts. Vaccinations, therapeutic and preventative options should take into consideration not only health and key worker status but also shift worker status.

"It's so tough for us now" - COVID-19 has negatively impacted religious practices relating to death among minority ethnic groups.

OBJECTIVE: The aim of the study was to investigate the impact of the COVID-19 pandemic and prevention measures on religious practices after death, by ethnic grouping, in an opportunistic/convenience sample of UK adults. METHODS: We distributed a questionnaire online and in hard copy between May 1 and June 18, 2020, via social media, post and face-to-face contact in Leicester, a multi-ethnic city in the UK. RESULTS: From 980 adults providing consent, 665 completed some or all survey items and provided ethnicity data. More than double the proportion of Black and South Asian individuals reported religious practices relating to death, burials or funerals being affected by COVID-19 than White groups. Of the 151 participants reporting practices being impacted, a greater proportion of ethnic minority groups reported restricted access/alteration to eight death-related practices (e.g., funeral attendance) compared with White groups (significantly different for all practices, P < 0.05). CONCLUSION: The initial phase of the COVID-19 pandemic in the UK has negatively impacted on the ability to conduct religious practices after death in all ethnic groups, but the impact appears greater in ethnic minority populations than in White groups. There is a need for further qualitative research on the impact of the COVID-19 pandemic on death and burial practices of minority ethnic groups.

Device-measured physical activity and its association with physical function in adults with type 2 diabetes mellitus.

AIM: To quantify how differences in metrics characterizing physical activity and sedentary behaviour in type 2 diabetes are associated with physical function. METHODS: This analysis included participants' data from the Chronotype of Patients with Type 2 Diabetes and Effect on Glycaemic Control (CODEC) cross-sectional study. Data were stratified into two groups according to their short physical performance battery (SPPB) score (impaired physical function = SPPB < 10 and normal physical function = SPPB ≥ 10). Hand-grip strength, sit-to-stand 60 (STS-60) and the Duke Activity Status Index (DASI) score were used to assess functional capacity, while physical activity metrics were measured with a wrist-worn accelerometer. The associations between physical activity metrics and measures of functional capacity were analysed using generalized linear modelling. RESULTS: Some 635 adults (median age 66 years, 34% female) were included in this analysis. Overall, 29% of the cohort scored < 10 in the SPPB test indicating impaired physical function. This group spent more time in prolonged sedentary behaviour (600.7 vs. 572.5 min) and undertook less-intense physical activity. Each sd increase in physical activity volume and intensity gradients for those with impaired physical function was associated with 17% more repetitions for STS-60 with similar associations seen for DASI score. Each sd in sedentary time was associated with 15% fewer repetitions in STS-60 and 16% lower DASI score in those with impaired physical function, whereas in normal physical function group it was 2% and 1%, respectively. CONCLUSIONS: The strength of the associations for physical activity measures and functional capacity were modified by physical function status, with the strongest association seen in those with impaired physical function.

A disease state approach to the pharmacological management of Type 2 diabetes in primary care: A position statement by Primary Care Diabetes Europe.

Type 2 diabetes and its associated comorbidities are growing more prevalent, and the complexity of optimising glycaemic control is increasing, especially on the frontlines of patient care. In many countries, most patients with type 2 diabetes are managed in a primary care setting. However, primary healthcare professionals face the challenge of the growing plethora of available treatment options for managing hyperglycaemia, leading to difficultly in making treatment decisions and contributing to therapeutic inertia. This position statement offers a simple and patient-centred clinical decision-making model with practical treatment recommendations that can be widely implemented by primary care clinicians worldwide through shared-decision conversations with their patients. It highlights the importance of managing cardiovascular disease and elevated cardiovascular risk in people with type 2 diabetes and aims to provide innovative risk stratification and treatment strategies that connect patients with the most effective care.

Patient-reported outcomes after 10-year follow-up of intensive, multifactorial treatment in individuals with screen-detected type 2 diabetes: the ADDITION-Europe trial.

AIMS: To present the longer-term impact of multifactorial treatment of type 2 diabetes on self-reported health status, diabetes-specific quality of life, and diabetes treatment satisfaction at 10-year follow up of the ADDITION-Europe trial. METHODS: The ADDITION-Europe trial enrolled 3057 individuals with screen-detected type 2 diabetes from four centres [Denmark, the UK (Cambridge and Leicester) and the Netherlands], between 2001 and 2006. Participants were randomized at general practice level to intensive treatment or to routine care . The trial ended in 2009 and a 10-year follow-up was performed at the end of 2014. We measured self-reported health status (36-item Short-Form Health Survey and EQ-5D), diabetes-specific quality of life (Audit of Diabetes-Dependent Quality of Life questionnaire), and diabetes treatment satisfaction (Diabetes Treatment Satisfaction Questionnaire) at different time points during the study period. A mixed-effects model was applied to estimate the effect of intensive treatment (intention-to-treat analyses) on patient-reported outcome measures for each centre. Centre-specific estimates were pooled using a fixed effects meta-analysis. RESULTS: There was no difference in patient-reported outcome measures between the routine care and intensive treatment arms in this 10-year follow-up study [EQ-5D: -0.01 (95% CI -0.03, 0.01); Physical Composite Score (36-item Short-Form Health Survey): -0.27 (95% CI -1.11, 0.57), Audit of Diabetes-Dependent Quality of Life questionnaire: -0.01 (95% CI -0.11, 0.10); and Diabetes Treatment Satisfaction Questionnaire: -0.20 (95% CI -0.70, 0.29)]. CONCLUSIONS: Intensive, multifactorial treatment of individuals with screen-detected type 2 diabetes did not affect self-reported health status, diabetes-specific quality of life, or diabetes treatment satisfaction at 10-year follow-up compared to routine care.

Managing People with Diabetes Fasting for Ramadan During the COVID-19 Pandemic: A South Asian Health Foundation Update.

The month of Ramadan forms one of the five pillars of the Muslim faith. Adult Muslims are obligated to keep daily fasts from dawn to sunset, with exceptions. This year Ramadan is due to begin on 23 April 2020 and the longest fast in the UK will be approximately 18 hours in length. In addition, due to the often high-calorie meals eaten to break the fast, Ramadan should be seen as a cycle of fasting and feasting. Ramadan fasting can impact those with diabetes, increasing the risk of hypoglycaemia, hyperglycaemia and dehydration. This year, Ramadan will occur during the global COVID-19 pandemic. Reports show that diabetes appears to be a risk factor for more severe disease with COVID-19. In addition, the UK experience has shown diabetes and COVID-19 is associated with dehydration, starvation ketosis, diabetic ketoacidosis and hyperosmolar hyperglycaemic state. This makes fasting in Ramadan particularly challenging for those Muslims with diabetes. Here, we discuss the implications of fasting in Ramadan during the COVID-19 pandemic and make recommendations for those with diabetes who wish to fast.

The South Asian Health Foundation (UK) guidelines for managing diabetes during Ramadan.

BACKGROUND: Fasting in the holy month of Ramadan is among the five pillars of Islam and is considered as a religious obligation by the Muslim population. People with diabetes observing the practice of fasts are at a higher risk of complications such as hypoglycaemia, hyperglycaemia and ketoacidosis due to changes in eating patterns and circadian rhythms. With the objective of mitigating these complications, the South Asian Health Foundation (UK) has developed the present guidelines based on robust evidence derived from epidemiological studies and clinical trials. METHODS: We have highlighted the role of pre-Ramadan risk stratification and counselling by healthcare professionals with emphasis on the need for advice on adequate dietary and fluid intake, blood glucose monitoring and awareness of when to break the fast. RESULTS: We reviewed the current literature and have given clinically-relevant recommendations on lifestyle modifications and glucose-lowering therapies such as metformin, sulphonylureas, dipeptidyl peptidase-4 inhibitors, sodium glucose co-transporter-2 inhibitors, thiazolidinediones, glucagon-like peptide-1 receptor agonists and insulin. CONCLUSIONS: An individualised patient-centric treatment plan is essential to not only achieve optimal glycaemic outcomes but also enable people with diabetes to observe a risk-free month of fasting during Ramadan.

Impact on guidelines: The general practitioner point of view.

Primary care physicians are uniquely placed to offer holistic, patient-centred care to patients with T2DM. While the recent FDA-mandated cardiovascular outcome trials offer a wealth of data to inform treatment discussions, they have also contributed to increasing complexity in treatment decisions, and in the guidelines that seek to assist in making these decisions. To assist physicians in avoiding treatment inertia, Primary Care Diabetes Europe has formulated a position statement that summarises our current understanding of the available T2DM treatment options in various patient populations. New data from recent outcomes trials is contextualised and summarised for the primary care physician. This consensus paper also proposes a unique and simple tool to stratify patients into 'very high' and 'high' cardiovascular risk categories and outlines treatment recommendations for patients with atherosclerotic cardiovascular disease, heart failure and chronic kidney disease. Special consideration is given to elderly/frail patients and those with obesity. A visual patient assessment tool is provided, and a comprehensive set of prescribing tips is presented for all available classes of glucose-lowering therapies. This position statement will complement the already available, often specialist-focused, T2DM treatment guidelines and provide greater direction in how the wealth of outcome trial data can be applied to everyday practice.

Influence of sociodemographic characteristics on the preferred format of health education delivery in individuals with type 2 diabetes mellitus and or cardiovascular disease: a questionnaire study.

AIM: To examine the influence of sociodemographic factors of interest on preference for a particular health education format among people with type 2 diabetes and/or cardiovascular disease. METHODS: A questionnaire was used to collect information on the influence of six sociodemographic factors of interest on the preference for health education formats in people with type 2 diabetes and/or cardiovascular disease. Chi-squared tests were used to examine the distribution of preferences between groups. The characteristics of the population preferring the online format were then examined in more detail using logistic regression. RESULTS: Responses were received from 1559 participants. Overall the preferred health education format was one-to-one learning from a doctor or nurse (67%). Age, gender, diagnosis and educational level all affected the preferences expressed. The characteristics showing most consistent and significant influence were age and educational level. Overall, 29% ranked the online format highly (scores 1 or 2). This group were more likely to be aged < 65 years (P < 0.001) and to have a higher level of educational attainment (upper secondary education or higher; P < 0.001). CONCLUSIONS: Significant differences between sociodemographic groups exist in preferences for health education formats among people with type 2 diabetes and/or cardiovascular disease. Preferences should be considered when designing educational interventions to ensure they are accessible to the target group and to avoid increases in health inequality.