Priorities of patients with multimorbidity and of clinicians regarding treatment and health outcomes: a systematic mixed studies review

OBJECTIVES

To identify studies that have investigated the health outcome and treatment priorities of patients with multimorbidity, clinicians or both, in order to assess whether the priorities of the two groups are in alignment, or whether a disparity exists between the priorities of patients with multimorbidity and clinicians.

DESIGN

Systematic review.

DATA SOURCES

MEDLINE, EMBASE, CINHAL and Cochrane databases from inception to May 2019 using a predefined search strategy, as well as reference lists containing any relevant articles, as per Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Cochrane guidelines.

ELIGIBILITY CRITERIA

We included studies reporting health outcome and treatment priorities of adult patients with multimorbidity, defined as suffering from two or more chronic conditions, or of clinicians in the context of multimorbidity or both. There was no restriction by study design, and studies using quantitative and/or qualitative methodologies were included.

DATA SYNTHESIS

We used a narrative synthesis approach to synthesise the quantitative findings, and a meta-ethnography approach to synthesise the qualitative findings.

RESULTS

Our search identified 24 studies for inclusion, which comprised 12 quantitative studies, 10 qualitative studies and 2 mixed-methods studies. Twelve studies reported the priorities of both patients and clinicians, 10 studies reported the priorities of patients and 2 studies reported the priorities of clinicians alone. Our findings have shown a mostly low level of agreement between the priorities of patients with multimorbidity and clinicians. We found that prioritisation by patients was mainly driven by their illness experiences, while clinicians focused on longer-term risks. Preserving functional ability emerged as a key priority for patients from across our quantitative and qualitative analyses.

CONCLUSION

Recognising that there may be a disparity in prioritisation and understanding the reasons for why this might occur, can facilitate clinicians in accurately eliciting the priorities that are most important to their patients and delivering patient-centred care.

PROSPERO REGISTRATION NUMBER

CRD42018076076.

Qualitative evaluation of A Safer Ramadan, a structured education programme that addresses the safer observance of Ramadan for Muslims with Type 2 diabetes

AIMS

Muslims can choose to fast during Ramadan. Guidelines exist for providing clinical support for this group, but there is a lack of culturally tailored diabetes management interventions to provide guidance. The study evaluates the implementation of a programme developed to meet this need.

METHODS

A Safer Ramadan is a multi-faceted package comprising a self-management and community awareness programme, and healthcare professional training. Implementation of the programme took place in two cities in the UK, prior to Ramadan 2017. Uptake and attendance were determined, and qualitative interviews and focus groups were completed with people attending the programme, and with various stakeholders involved in implementation and delivery.

RESULTS

Success of the implementation varied and engagement by primary care was limited. Three central themes emerged from the interviews highlighting barriers and facilitators of the programme implementation. These were the referral pathway, programme content and feedback on the delivery of the programme.

CONCLUSIONS

Provision of interventions that provide support and education for Muslims during Ramadan was implemented in communities and valued by GPs and practice nurses. However, heavy workloads to support delivery made it difficult for practices to engage. Recommendations for future delivery of the programme indicate that greater attention should be given to marketing and its supporting practices. Furthermore, training for practice nurses to support patients prior to Ramadan and provision of funding is required.

Risk Factors for Heart Failure

Background:

There are multiple risk factors for heart failure, but contemporary temporal trends according to sex, socioeconomic status, and ethnicity are unknown.

Methods:

Using a national UK general practice database linked to hospitalizations (1998–2017), 108 638 incident heart failure patients were identified. Differences in risk factors among patient groups adjusted for sociodemographic factors and age-adjusted temporal trends were investigated using logistic and linear regression.

Results:

Over time, a 5.3 year (95% CI, 5.2–5.5) age difference between men and women remained. Women had higher blood pressure, body mass index, and cholesterol than men ( P <0.0001). Ischemic heart disease prevalence increased for all to 2006 before reducing in women by 0.5% per annum, reaching 42.7% (95% CI, 41.7–43.6), but not in men, remaining at 57.7% (95% CI, 56.9–58.6; interaction P =0.002). Diabetes mellitus prevalence increased more in men than in women (interaction P <0.0001). Age between the most deprived (74.6 years [95% CI, 74.1–75.1]) and most affluent (79.9 [95% CI, 79.6–80.2]) diverged (interaction P <0.0001), generating a 5-year gap. The most deprived had significantly higher annual increases in comorbidity numbers (+0.14 versus +0.11), body mass index (+0.14 versus +0.11 kg/m 2 ), and lower smoking reductions (−1.2% versus −1.7%) than the most affluent. Ethnicity trend differences were insignificant, but South Asians were overall 6 years and the black group 9 years younger than whites. South Asians had more ischemic heart disease (+16.5% [95% CI, 14.3–18.6]), hypertension (+12.5% [95% CI, 10.5–14.3]), and diabetes mellitus (+24.3% [95% CI, 22.0–26.6]), and the black group had more hypertension (+12.3% [95% CI, 9.7–14.8]) and diabetes mellitus (+13.1% [95% CI, 10.1–16.0]) but lower ischemic heart disease (−10.6% [95% CI, −13.6 to −7.6]) than the white group.

Conclusions:

Population groups show distinct risk factor trend differences, indicating the need for contemporary tailored prevention programs.

The Microalbuminuria Education Medication and Optimisation (MEMO) study: 4 years follow-up of multifactorial intervention in high-risk individuals with type 2 diabetes

AIMS

The Microalbuminuria Education Medication and Optimisation (MEMO) study, revealed improved cardiovascular risk and glycaemic control with 18 months of intensive multifactorial intervention in high-risk people with type 2 diabetes, without any increase in severe hypoglycaemia. Our aim was to assess longer-term outcomes at 4-year follow-up in these participants.

METHODS

Some 189 individuals with type 2 diabetes and microalbuminuria were recruited from a multi-ethnic population in Leicestershire, UK. The intervention group (n = 95) received multifactorial intervention with self-management education, and the control group (n = 94) received usual care. The primary outcome was change in HbA_1c , and secondary outcomes were blood pressure (BP), cholesterol, microalbuminuria, estimated GFR, cardiovascular risk scores and major adverse cardiovascular events.

RESULTS

Some 130 participants (68.7%), mean (sd) age 60.8 (10.4) years, duration of diabetes 11.5 (9.7) years, completed 4 years of follow-up. Mean change [95% confidence intervals (CI)] in HbA_1c over 4 years was greater with intensive intervention compared with control (-3 mmol/mol, 95% CI -4.95,-1.11; -0.4%, 95% CI -0.67,-0.15; P = 0.002). Significant improvements over the 4 years were also seen in systolic BP (-7.3 mmHg, 95% CI -11.1, -3.5; P < 0.001), diastolic BP (-2.9 mmHg, 95% CI -5.4, -0.3; P = 0.026), cholesterol (-0.3 mmol/l, 95% CI -0.52,-0.12; P = 0.002), and 10-year coronary heart disease (-5.3, 95% CI -8.2,-2.3; P < 0.001) and stroke risk (-4.4, 95% CI -7.5, -1.3; P < 0.001).

CONCLUSION

Multifactorial intervention with structured diabetes self-management education compared with usual diabetes care has benefits for cardio-metabolic risk factor profile. There was no increase in severe hypoglycaemia and cardiovascular mortality despite intensive glycaemic control, although the study was not powered to assess these outcomes.

Genetic Discrimination Between LADA and Childhood-Onset Type 1 Diabetes Within the MHC

OBJECTIVE

The MHC region harbors the strongest loci for latent autoimmune diabetes in adults (LADA); however, the strength of association is likely attenuated compared with that for childhood-onset type 1 diabetes. In this study, we recapitulate independent effects in the MHC class I region in a population with type 1 diabetes and then determine whether such conditioning in LADA yields potential genetic discriminators between the two subtypes within this region.

RESEARCH DESIGN AND METHODS

Chromosome 6 was imputed using SNP2HLA, with conditional analysis performed in type 1 diabetes case subjects (n = 1,985) and control subjects (n = 2,219). The same approach was applied to a LADA cohort (n = 1,428) using population-based control subjects (n = 2,850) and in a separate replication cohort (656 type 1 diabetes case, 823 LADA case, and 3,218 control subjects).

RESULTS

The strongest associations in the MHC class II region (rs3957146, β [SE] = 1.44 [0.05]), as well as the independent effect of MHC class I genes, on type 1 diabetes risk, particularly HLA-B*39 (β [SE] = 1.36 [0.17]), were confirmed. The conditional analysis in LADA versus control subjects showed significant association in the MHC class II region (rs3957146, β [SE] = 1.14 [0.06]); however, we did not observe significant independent effects of MHC class I alleles in LADA.

CONCLUSIONS

In LADA, the independent effects of MHC class I observed in type 1 diabetes were not observed after conditioning on the leading MHC class II associations, suggesting that the MHC class I association may be a genetic discriminator between LADA and childhood-onset type 1 diabetes.

Disparity in implantable cardioverter defibrillator therapy among minority South Asians in the United Kingdom

OBJECTIVE

There are large geographical differences in implantable cardioverter defibrillator (ICD) implantation rates for reasons not completely understood. In an increasingly multiethnic population, we sought out to investigate whether ethnicity influenced ICD implantation rates.

METHODS

This was a retrospective, cohort study of new ICD implantation or upgrade to ICD from January 2006 to February 2019 in recipients of Caucasian or South Asian ethnicity at a single tertiary centre in the UK. Data were obtained from a routinely collected local registry. Crude rates of ICD implantation were calculated for the population of Leicestershire county and were age-standardised to the UK population using the UK National Census of 2011.

RESULTS

The Leicestershire population was 980 328 at the time of the Census, of which 761 403 (77.7%) were Caucasian and 155 500 (15.9%) were South Asian. Overall, 2650 ICD implantations were performed in Caucasian (91.9%) and South Asian (8.1%) patients. South Asians were less likely than Caucasians to receive an ICD (risk ratio (RR) 0.43, 95% CI 0.37 to 0.49, p<0.001) even when standardised for age (RR 0.75, 95% CI 0.74 to 0.75, p<0.001). This remained the case for primary prevention indication (age-standardised RR 0.91, 95% CI 0.90 to 0.91, p<0.001), while differences in secondary prevention ICD implants were even greater (age-standardised RR 0.49, 95% CI 0.48 to 0.50, p<0.001).

CONCLUSION

Despite a universal and free healthcare system, ICD implantation rates were significantly lower in the South Asian than the Caucasian population residing in the UK. Whether this is due to cultural acceptance or an unbalanced consideration is unclear.

Early Outcomes From the English National Health Service Diabetes Prevention Programme

OBJECTIVE

To assess weight and HbA_1c changes in the Healthier You: National Health Service Diabetes Prevention Programme (NHS DPP), the largest DPP globally to achieve universal population coverage.

RESEARCH DESIGN AND METHODS

A service evaluation assessed intervention effectiveness for adults with nondiabetic hyperglycemia (HbA_1c 42-47 mmol/mol [6.0-6.4%] or fasting plasma glucose 5.5-6.9 mmol/L) between program launch in June 2016 and December 2018, using prospectively collected, national service-level data in England.

RESULTS

By December 2018, 324,699 people had been referred, 152,294 had attended the initial assessment, and 96,442 had attended at least 1 of 13 group-based intervention sessions. Allowing sufficient time to elapse, 53% attended an initial assessment, 36% attended at least one group-based session, and 19% completed the intervention (attended >60% of sessions). Of the 32,665 who attended at least one intervention session and had sufficient time to finish, 17,252 (53%) completed: intention-to-treat analyses demonstrated a mean weight loss of 2.3 kg (95% CI 2.2, 2.3) and an HbA_1c reduction of 1.26 mmol/mol (1.20, 1.31) (0.12% [0.11, 0.12]); completer analysis demonstrated a mean weight loss of 3.3 kg (3.2, 3.4) and an HbA_1c reduction of 2.04 mmol/mol (1.96, 2.12) (0.19% [0.18, 0.19]). Younger age, female sex, Asian and black ethnicity, lower socioeconomic status, and normal baseline BMI were associated with less weight loss. Older age, female sex, black ethnicity, lower socioeconomic status, and baseline overweight and obesity were associated with a smaller HbA_1c reduction.

CONCLUSIONS

Reductions in weight and HbA_1c compare favorably with those reported in recent meta-analyses of pragmatic studies and suggest likely future reductions in participant type 2 diabetes incidence.

The effect of Ramadan fasting on cardiovascular events and risk factors in patients with type 2 diabetes: A systematic review

Ramadan is the fasting month in Islam. Muslims around the world observe Ramadan every year, including people with diabetes. Data on the association of fasting in people with diabetes are sparse. The purpose of this study is to assess the association of fasting on cardiovascular risk factors and events in people with diabetes. A comprehensive search was conducted in the following database: Embase, Medline, Cochrane library and CINAHL. The following key terms were used: Ramadan, Ramazan, Ramadhan, Muslim, Islam and fasting. Studies were eligible if they included people with Type 2 diabetes who fasted during Ramadan and reporting results on cardiovascular risk factors or events. Overall 22 studies met inclusion criteria for the review; five studies reported cardiovascular outcomes and 17 reported changes in risk factors. There is insufficient evidence to link Ramadan fasting with increased or reduced incidence of cardiovascular events in people with diabetes, though there were some indication stroke risk may be increased. Findings were inconsistent in term of risk factors as some favoured Ramadan and others did not.‬‬‬‬.

Dose distribution and up-titration patterns of metformin monotherapy in patients with type 2 diabetes

AIMS

To assess the dose distribution among users of metformin monotherapy as well as the patterns of up-titration following initiation of therapy in people with type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

This was a retrospective cohort study of adults with T2DM in the United Kingdom (UK). Metformin dose distribution was assessed at 0, 6 and 12 months in people initiating metformin monotherapy (new users) and cross-sectionally in people with ongoing metformin monotherapy (prevalent users). Patterns and predictors of up-titration were also analysed in new users. Dose distributions and treatment patterns were assessed descriptively; predictors of up-titration were determined using multivariable logistic regressions.

RESULTS

Totals of 6174 new users and 8733 prevalent users were included. New users initiated metformin at >0 mg to ≤500 mg (25%), >500 mg to ≤1000 mg (47%), >1000 mg to ≤1500 mg (17%) or >1500 mg to ≤2000 mg (12%) daily. This distribution did not vary over time. Prevalent users of metformin received doses of >0 mg to ≤500 mg (14%), >500 mg to ≤1000 mg (40%), >1000 mg to ≤1500 mg (15%), >1500 mg to ≤2000 mg (29%) or >2000 mg (1%) daily. Among new users of metformin, 6.7% and 10.8% had been up-titrated at 6 and 12 months, respectively, despite the majority having glycated haemoglobin >53 mmol/mol. Predictors of up-titration included younger age and higher HbA1c.

CONCLUSIONS

A majority of T2DM patients taking metformin received a dose ≤1000 mg/day. Up-titration of metformin is infrequent in the first year postinitiation.

Glycaemic control in patients with type 2 diabetes initiating second-line therapy: Results from the global DISCOVER study programme

AIM

To assess glycaemic control and factors associated with poor glycaemic control at initiation of second-line therapy in the DISCOVER programme.

MATERIALS AND METHODS

DISCOVER (NCT02322762 and NCT02226822) comprises two similar prospective observational studies of 15 992 people with type 2 diabetes (T2D) initiating second-line glucose-lowering therapy in 38 countries across six regions (Africa, Americas, South-East Asia, Eastern Mediterranean, Europe and Western Pacific). Data were collected using a standardized case report form. Glycated haemoglobin (HbA1c) levels were measured according to standard clinical practice in each country, and factors associated with poor glycaemic control (HbA1c >8.0%) were evaluated using hierarchical regression models.

RESULTS

HbA1c levels were available for 80.9% of patients (across-region range [ARR] 57.5%-97.5%); 92.2% (ARR 59.2%-99.1%) of patients had either HbA1c or fasting plasma glucose levels available. The mean HbA1c was 8.3% (ARR 7.9%-8.7%). In total, 26.7% of patients had an HbA1c level ≥9.0%, with the highest proportions in South-East Asia (35.6%). Factors associated with having HbA1c >8.0% at initiation of second-line therapy included low education level, low country income, and longer time since T2D diagnosis.

CONCLUSIONS

The poor levels of glycaemic control at initiation of second-line therapy suggest that intensification of glucose-lowering treatment is delayed in many patients with T2D. In some countries, HbA1c levels are not routinely measured. These findings highlight an urgent need for interventions to improve monitoring and management of glycaemic control worldwide, particularly in lower-middle- and upper-middle-income countries.

Kidney outcomes associated with use of SGLT2 inhibitors in real-world clinical practice (CVD-REAL 3): a multinational observational cohort study

BACKGROUND

Cardiovascular and kidney outcome trials have shown that sodium-glucose co-transporter-2 (SGLT2) inhibitors slow progression of chronic kidney disease in patients with type 2 diabetes with or without chronic kidney disease. The aim of this study was to assess whether these benefits extend to patients with type 2 diabetes treated in routine clinical practice.

METHODS

CVD-REAL 3 was a multinational observational cohort study in which new users of SGLT2 inhibitors and other glucose-lowering drugs with measurements of estimated glomerular filtration rate (eGFR) before and after (within 180 days) initiation were identified via claims, medical records, and national registries in Israel, Italy, Japan, Taiwan, and the UK. Propensity scores for SGLT2 inhibitor initiation were developed in each country, with 1:1 matching with initiators of other glucose-lowering drugs. Propensity score included (in addition to other clinical and demographic variables) baseline eGFR and eGFR slope before SGLT2 inhibitor or other glucose-lowering drug initiation. The main outcome measure was rate of eGFR decline (slope) calculated with a linear mixed regression model. Differences in eGFR slope between SGLT2 inhibitors and other glucose-lowering drugs were calculated and pooled. We also assessed a composite outcome of 50% eGFR decline or end-stage kidney disease.

FINDINGS

After propensity matching, there were 35 561 episodes of treatment initiation in each group, from 65 231 individual patients. Dapagliflozin, empagliflozin, canagliflozin, ipragliflozin, tofogliflozin, and luseogliflozin accounted for 57·9%, 34·1%, 5·7%, 1·4%, 0·5%, and 0·4% of SGLT2 inhibitor initiation episodes, respectively. At baseline, 29 363 (41·3%) of 71 122 initiations were in women, mean age was 61·3 years, mean HbA_1c was 72 mmol/mol (8·71%), and mean eGFR was 90·7 mL/min per 1·73 m². During follow-up, SGLT2 inhibitor initiation was associated with reduced eGFR decline (difference in slope for SGLT2 inhibitors vs other glucose-lowering drugs 1·53 mL/min per 1·73 m² per year, 95% CI 1·34-1·72, p<0·0001). During a mean follow-up of 14·9 months, 351 composite kidney outcomes occurred: 114 (3·0 events per 10 000 patient-years) among initiators of SGLT2 inhibitors and 237 (6·3 events per 10 000 patient-years) among initiators of other glucose-lowering drugs (hazard ratio 0·49, 95% CI 0·35-0·67; p<0·0001). These findings were consistent across countries (p_{heterogeneity} 0·10) and prespecified subgroups.

INTERPRETATION

In this large, international, real-world study of patients with type 2 diabetes, initiation of SGLT2 inhibitor therapy was associated with a slower rate of kidney function decline and lower risk of major kidney events compared with initiation of other glucose-lowering drugs. These data suggest that the benefits of SGLT2 inhibitors on kidney function identified in clinical trials seem to be largely generalisable to clinical practice.

FUNDING

AstraZeneca.

Use of professional-mode flash glucose monitoring, at 3-month intervals, in adults with type 2 diabetes in general practice (GP-OSMOTIC): a pragmatic, open-label, 12-month, randomised controlled trial

BACKGROUND

Continuous glucose monitoring, either real-time (personal) or retrospective (professional mode), can identify day-to-day glucose profiles to guide management decisions for people with type 2 diabetes. We aimed to examine the effects of professional-mode flash glucose monitoring, done at 3-month intervals, in adults with type 2 diabetes in general practice.

METHODS

We did a pragmatic, two-arm, open label, 12-month, individually randomised controlled trial (GP-OSMOTIC) in 25 general practices in Victoria, Australia. Eligible participants were adults aged 18-80 years, with type 2 diabetes diagnosed for at least 1 year and HbA_1c at least 5·5 mmol/mol (0·5%) above their target in the past month despite being prescribed at least two non-insulin glucose-lowering drugs, insulin, or both (with therapy stable for at least 4 months). We randomly assigned participants (1:1) to either use of a professional-mode flash glucose monitoring system or usual clinical care (control). All participants wore the flash glucose monitoring sensor at baseline, and electronic randomisation (using permuted block sizes of four and six, and stratified by clinic) was done after the sensor was attached. Masking of participants and treating clinicians to group allocation was not possible, but the study statistician was masked to allocation when analysing the data. At baseline, and 3, 6, 9, and 12 months, participants in the flash glucose monitoring group wore the professional-mode flash glucose monitoring sensor for 5-14 days before their general practice visit. The sensor recorded interstitial glucose concentrations every 15 min, but the glucose data were not available to the participant until their general practice visit, where the sensor output would be uploaded to a computer by the health professional and discussed. Control group participants wore the sensor at baseline and at 12 months for data analysis only, and had usual care visits every 3 months. The primary outcome was the between-group difference in mean HbA_1c at 12 months. Secondary outcomes were the between-group differences in: mean percentage time in target glucose range (4-10 mmol/L), based on ambulatory glucose profile data at 12 months; mean diabetes-specific distress (assessed with the Problem Areas In Diabetes [PAID] scale) at 12 months; and mean HbA_1c at 6 months. Analysis was done by intention to treat. This trial is registered at the Australian and New Zealand Clinical Trials Registry, ACTRN12616001372471.

FINDINGS

Between Oct 4, 2016, and Nov 17, 2017, we randomly assigned 299 adults: 149 to flash glucose monitoring and 150 to usual care. At 6 months, HbA_1c was lower in the flash glucose monitoring group than in the usual care group (difference -0·5%, 95% CI -0·8% to -0·3%; p=0·0001). However, at 12 months (primary outcome), there was no significant between-group difference in estimated mean HbA_1c (8·2% [95% CI 8·0 to 8·4] for flash glucose monitoring vs 8·5% [8·3 to 8·7] for usual care; between-group difference -0·3%, 95% CI -0·5 to 0·01; [66 mmol/mol, 95% CI 64 to 68 vs 69 mmol/mol, 67 to 72; between-group difference -3·0, 95% CI -5·0 to 0·1]; p=0·059). Mean percentage time spent in target glucose range at 12 months was 7·9% (95% CI 2·3 to 13·5) higher in the flash glucose monitoring group than in the usual care group (p=0·0060). Diabetes-specific distress PAID scores were unchanged at 12 months (between-group difference -0·7, 95% CI -3·3 to 1·9; p=0·61). No episodes of severe hypoglycaemia or treatment-related deaths were reported. One participant died during the study from causes unrelated to the intervention (following complications post-myocardial infarction with multiple comorbidities).

INTERPRETATION

Professional-mode flash glucose monitoring in adults with type 2 diabetes in general practice did not improve the primary outcome of HbA_1c at 12 months or diabetes-specific distress compared with usual care, but did improve time in target glucose range at 12 months and HbA_1c at 6 months. Our findings suggest that professional-mode flash glucose monitoring can be implemented in a pragmatic primary care environment. Although there was no change in HbA_1c at 12 months, the improved time in target range might reflect the potential of the technology to support personalised clinical care by providing insights into glycaemic profiles for some people with type 2 diabetes.

FUNDING

National Health and Medical Research Council of Australia, Sanofi Australia, and Abbott Diabetes Care.

Leisure-time physical activity and life expectancy in people with cardiometabolic multimorbidity and depression

BACKGROUND

Whether and to what extent leisure-time physical activity at the recommended levels of 150-min moderate activity is associated with survival in people with cardiometabolic multimorbidity and depression is unknown.

METHODS

UK Biobank participants were classified into groups: (i) no disease; (ii) diabetes; (iii) cardiovascular disease (CVD); (iv) depression; (v) diabetes and CVD; (vi) diabetes and depression; (vii) CVD and depression; (viii) diabetes, CVD and depression. Leisure-time physical activity was categorized as active (meeting recommendations) or inactive. Survival models were applied to estimate life expectancy.

RESULTS

A total of 480 940 participants were included (median age, 58 years; 46% men; 95% white), of whom 74% with cardiometabolic multimorbidity and depression were inactive. During a mean follow-up of 7 years, 11 006 deaths occurred. At age of 45 years, being physically active was associated with 2.34 (95% confidence interval: 0.93, 3.54) additional years of life compared with being inactive in participants with diabetes; corresponding estimates were 2.28 (1.40, 3.16) for CVD; 2.15 (0.05, 4.26) for diabetes and CVD; and 1.58 (1.27, 1.89) for no disease. Participants with a combination of diabetes, CVD and depression, being active was associated with 6.81 (-1.50, 15.31) additional years compared with being inactive; corresponding estimates were 3.07 (-2.46, 8.59) for diabetes and depression; 2.34 (-1.24, 5.91) for CVD and depression; and 0.80 (-0.46, 2.05) for depression. A similar pattern was found at 65 years.

CONCLUSIONS

Meeting the recommended level of physical activity was associated with a longer life expectancy in people with cardiometabolic multimorbidity but not in those with depression.

Management of Type 2 Diabetes in Developing Countries: Balancing Optimal Glycaemic Control and Outcomes with Affordability and Accessibility to Treatment

With the growing prevalence of type 2 diabetes, particularly in emerging countries, its management in the context of available resources should be considered. International guidelines, while comprehensive and scientifically valid, may not be appropriate for regions such as Asia, Latin America or Africa, where epidemiology, patient phenotypes, cultural conditions and socioeconomic status are different from America and Europe. Although glycaemic control and reduction of micro- and macrovascular outcomes remain essential aspects of treatment, access and cost are major limiting factors; therefore, a pragmatic approach is required in restricted-resource settings. Newer agents, such as sodium-glucose cotransporter 2 inhibitors and glucagon-like peptide 1 receptor agonists in particular, are relatively expensive, with limited availability despite potentially being valuable for patients with insulin resistance and cardiovascular complications. This review makes a case for the role of more accessible second-line treatments with long-established efficacy and affordability, such as sulfonylureas, in the management of type 2 diabetes, particularly in developing or restricted-resource countries.

Prediction of Diabetic Foot Ulceration: The Value of Using Microclimate Sensor Arrays

BACKGROUND

Accurately predicting the risk of diabetic foot ulceration (DFU) could dramatically reduce the enormous burden of chronic wound management and amputation. Yet, the current prognostic models are unable to precisely predict DFU events. Typically, efforts have focused on individual factors like temperature, pressure, or shear rather than the overall foot microclimate.

METHODS

A systematic review was conducted by searching PubMed reports with no restrictions on start date covering the literature published until February 20, 2019 using relevant keywords, including temperature, pressure, shear, and relative humidity. We review the use of these variables as predictors of DFU, highlighting gaps in our current understanding and suggesting which specific features should be combined to develop a real-time microclimate prognostic model.

RESULTS

The current prognostic models rely either solely on contralateral temperature, pressure, or shear measurement; these parameters, however, rarely reach 50% specificity in relation to DFU. There is also considerable variation in methodological investigation, anatomical sensor configuration, and resting time prior to temperature measurements (5-20 minutes). Few studies have considered relative humidity and mean skin resistance.

CONCLUSION

Very limited evidence supports the use of single clinical parameters in predicting the risk of DFU. We suggest that the microclimate as a whole should be considered to predict DFU more effectively and suggest nine specific features which appear to be implicated for further investigation. Technology supports real-time in-shoe data collection and wireless transmission, providing a potentially rich source of data to better predict the risk of DFU.

Effectiveness of Lifestyle Health Promotion Interventions for Nurses: A Systematic Review

BACKGROUND

Prior research has investigated various strategies to improve health, wellbeing and the job-related outcomes of nurses. However, the scope of this evidence is not clear and the types of intervention most likely to have positive outcomes are unknown.

OBJECTIVE

To provide an overview and synthesis of the effectiveness of interventions conducted with the goal of improving health, wellbeing and the job-related outcomes of nurses.

METHODS

A systematic database search was conducted from January 2000 to December 2018, with pre-defined criteria (Cochrane Central Register of Controlled Trials; MEDLINE and PubMed; EMBASE; CINAHL; PsycINFO; and BioMed Central). In total, 136 intervention studies with a total sample of 16,129 participants (range 9-3381) were included and evaluated. Data extraction, quality assessment and risk of bias analyses were performed.

RESULTS

Studies included randomised controlled trials (RCTs; n = 52, 38%), randomised crossover design studies (n = 2, 1.5%) and non-randomised pre-post studies with a control group (n = 31, 23%) and without a control group (n = 51, 37.5%). The majority of interventions focused on education, physical activity, mindfulness, or relaxation. Thirty-seven (27%) studies had a multimodal intervention approach. On average, studies had relatively small samples (median = 61; mode = 30) and were conducted predominantly in North America (USA/Canada, n = 53). The findings were mixed overall, with some studies reporting benefits and others finding no effects. Dietary habits was the most successfully improved outcome (8/9), followed by indices of body composition (20/24), physical activity (PA) (11/14), and stress (49/66), with >70% of relevant studies in each of these categories reporting improvements. The lowest success rate was for work-related outcomes (16/32). Separate analysis of RCTs indicated that interventions that focus solely on education might be less likely to result in positive outcomes than interventions targeting behavioural change.

CONCLUSIONS

Interventions targeting diet, body composition, PA, or stress are most likely to have positive outcomes for nurses' health and/or wellbeing. The methodologically strongest evidence (RCTs) is available for body composition and stress. Interventions relying solely on educational approaches are least likely to be effective. Organisational outcomes appear to be more challenging to change with lifestyle intervention, likely requiring more complex solutions including changes to the work environment. There is a need for more high-quality evidence since many studies had moderate or high risk of bias and low reporting quality.

Adherence to type 2 diabetes management

Tight glycaemic control is essential, and good adherence is associated with a lower risk of all-cause mortality and hospitalisation in people with T2D. A significant number of people with T2D do not take medication as prescribed and therefore have poor outcomes. The key factors for not achieving targets include therapeutic inertia and adherence. Reasons for poor adherence include perception of treatment, complexity of treatment and adverse effects. Poor adherence leads to inadequate glycaemic control, which increases the risk of diabetic complications and mortality. There is evidence to suggest that education and monitoring is important in medication adherence.

Enhancing the value of accelerometer-assessed physical activity: meaningful visual comparisons of data-driven translational accelerometer metrics

The lack of consensus on meaningful and interpretable physical activity outcomes from accelerometer data hampers comparison across studies. Cut-point analyses are simple to apply and easy to interpret but can lead to results that are not comparable. We propose that the optimal accelerometer metrics for data analysis are not the same as the optimal metrics for translation. Ideally, analytical metrics are precise continuous variables that cover the intensity spectrum, while translational metrics facilitate meaningful, public-health messages and can be described in terms of activities (e.g. brisk walking) or intensity (e.g. moderate-to-vigorous physical activity). Two analytical metrics that capture the volume and intensity of the 24-h activity profile are average acceleration (volume) and intensity gradient (intensity distribution). These allow investigation of independent, additive and interactive associations of volume and intensity of activity with health; however, they are not immediately interpretable. The MX metrics, the acceleration above which the most active X minutes are accumulated, are translational metrics that can be interpreted in terms of indicative activities. Using a range of MX metrics illustrates the intensity gradient and average acceleration (i.e. 24-h activity profile). The M120, M60, M30, M15 and M5 illustrate the most active accumulated minutes of the day, the M¹/_3DAY the most active accumulated 8 h of the day. We demonstrate how radar plots of MX metrics can be used to interpret and translate results from between- and within-group comparisons, provide information on meeting guidelines, assess individual activity profiles relative to percentiles and compare activity profiles between domains and/or time periods.

Trends in Cause-Specific Outcomes Among Individuals With Type 2 Diabetes and Heart Failure in the United Kingdom, 1998-2017

IMPORTANCE

The phenotype of individuals with type 2 diabetes and heart failure (HF) is changing. Successful public health interventions for type 2 diabetes mean that patients more frequently present with HF without a prior ischemic event, which is likely to change outcomes, but trends in cause-specific outcomes are unknown.

OBJECTIVE

To investigate cause-specific outcomes and trends associated with type 2 diabetes among individuals with incident HF.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used UK primary care data, linked to hospital admissions and mortality, for 87 709 patients with incident HF from 1998 to 2017. Patients were 30 years or older and observed to death or July 31, 2017. Data analysis was conducted in March and April 2019.

EXPOSURE

Preexisting type 2 diabetes at diagnosis of HF. Individuals with type 1 diabetes were excluded.

MAIN OUTCOMES AND MEASURES

All-cause, cardiovascular (CVD), and non-CVD unplanned hospitalizations and mortality rates.

RESULTS

Of 87 709 patients with HF (43 173 [49.2%] women; 78 211 [89.2%] white), 20 858 (23.8%) had type 2 diabetes (median [interquartile range] age, 78.0 [70.0 to 84.0] years), and 66 851 (76.2%) had no diabetes (median [interquartile range] age, 80.0 [72.0 to 86.0] years). In patients with HF, type 2 diabetes was associated with an increase in the risk of unplanned hospital admission (adjusted incidence rate ratio for CVD hospitalizations: 1.24; 95% CI, 1.19 to 1.30; for non-CVD hospitalizations: 1.26; 95% CI, 1.22 to 1.30) and an increase in the risk of mortality (adjusted hazard ratio for CVD mortality: 1.06; 95% CI, 1.02 to 1.10; for non-CVD mortality: 1.24; 95% CI, 1.19 to 1.29). Age-standardized mortality risk at 1 year was 35.6% (95% CI, 35.1% to 36.1%) in the type 2 diabetes group vs 29.2% (95% CI, 29.0% to 29.5%) in the group with no diabetes. During the study period (ie, 1998 to 2017), associations of type 2 diabetes with hospitalization and mortality rates decreased for CVD outcomes but not for non-CVD outcomes. Age-adjusted hospitalization rates during the first year following HF diagnosis increased similarly for both groups over time (eg, HF with type 2 diabetes, 1998 to 2001: 133.3 per 100 person-years; 95% CI, 102.2 to 105.4 per 100 person-years; 2012 to 2015: 152.5 per 100 person-years; 95% CI, 145.5 to 159.5 per 100 person-years; P for difference in trend = .06), but trends diverged by cause. For example, hospitalizations for HF decreased for patients with type 2 diabetes at approximately the same annual rate (-2.2%; 95% CI, -3.9% to -0.5%) as they increased for those without diabetes (1.7%; 95% CI, 1.1% to 2.3%; P for difference in trend < .001). After 2004, a trend emerged showing a greater increase in non-CVD admissions among patients with HF and type 2 diabetes than among patients with no diabetes (2.3% [95% CI, 0.9% to 3.6%] vs 1.1% [95% CI, 0.8% to 1.4%]). In contrast to hospitalization rates, mortality rates reduced over time in both groups, but the reduction was greater among those with type 2 diabetes than without (-1.4% [95% CI, -1.8% to -0.9%] vs -0.7% [95% CI, -1.2% to -0.2%]; P for difference in trend < .001).

CONCLUSIONS AND RELEVANCE

In this study, the higher risk of all cause-specific outcomes and emerging non-CVD trends associated with patients with type 2 diabetes who experienced HF indicated an urgent need for earlier comorbidity management and patient-centered multimorbidity care.

Effectiveness of psychoeducational interventions for the treatment of diabetes-specific emotional distress and glycaemic control in people with type 2 diabetes: A systematic review and meta-analysis

AIMS

Psychological comorbidity, such as depression and/or diabetes-specific emotional distress (DSD), is highly prevalent in people with type 2 diabetes (T2DM) and associated with poorer treatment outcomes. While treatments for depression are well established, interventions specifically designed for DSD are sparse. The aim of this study was to determine interventions that successfully address DSD and HbA1c in people with T2DM.

METHODS

Seven databases were searched to identify potentially relevant studies. Eligible studies were selected and appraised independently by two reviewers. Multiple meta-analyses and meta-regression analyses were performed to synthesise the data; the primary analyses determined the effect of interventions on DSD, with secondary analyses assessing the effect on HbA1c.

RESULTS

Thirty-two studies (n = 5206) provided sufficient DSD data, of which 23 (n = 3818) reported data for HbA1c. Meta-analyses demonstrated that interventions significantly reduced DSD (p = 0.034) and HbA1c (p = 0.006) compared to controls, although subgroup meta-analyses and meta-regression to explore specific intervention characteristics that might mediate this effect yielded non-significant findings.

CONCLUSIONS

The findings demonstrate that existing interventions successfully reduce DSD and HbA1c in people with T2DM. While promising, deductions should be interpreted tentatively, highlighting a stark need for further focused exploration of how best to treat psychological comorbidity in people with T2DM.

Relevance of physical function in the association of red and processed meat intake with all-cause, cardiovascular, and cancer mortality

BACKGROUND AND AIMS

Intake of red and processed meat has been associated with a higher risk of morbidity and mortality; it is unknown whether these associations are modified by overall physical health. This study examined the associations of red and processed meat consumption with all-cause, cardiovascular, and cancer mortality and investigated whether markers of physical function modified the associations.

METHODS AND RESULTS

This observational cohort study used UK Biobank data derived from 419,075 participants free from cancer and cardiovascular disease. Cox models assessed the association of red and processed meat consumption (obtained from a baseline food frequency questionnaire) with mortality, adjusted for potential confounders. Objectively measured handgrip strength and self-reported walking pace were used as interaction terms. The median age was 57 (interquartile range, 49-63) years and 54.9% were women. Over 7 years of follow-up, 8586 all-cause, 1660 cardiovascular, and 4812 cancer deaths occurred. Each additional serving per week of red and processed meat was associated with a hazard ratio (HR) of 1.037 (95% CI: 1.028-1.047) for all-cause; 1.030 (1.009-1.051) for cardiovascular; and 1.029 (1.016-1.042) for cancer mortality. The association of red and processed meat consumption was modified by walking pace, with brisk walkers having the lowest risk per additional serving for all-cause and cancer mortality (HR 1.025; 1.006-1.045 and 1.015; 0.990-1.040, respectively); no interaction was observed for handgrip strength.

CONCLUSION

The known risk of mortality associated with red and processed meat consumption may be lower in those with high physical function.

Diabetic peripheral neuropathy: advances in diagnosis and strategies for screening and early intervention

Diabetic peripheral neuropathy (DPN) is a common complication of both type 1 and 2 diabetes. It is a leading cause of lower-limb amputation and disabling neuropathic pain. Amputations in patients with diabetes have a devastating effect on quality of life and are associated with an alarmingly low life expectancy (on average only 2 years from the amputation). Amputation also places a substantial financial burden on health-care systems and society in general. With the introduction of national diabetes eye screening programmes, the prevalence of blindness in working-age adults is falling. This is not the case, however, with diabetes related amputations. In this Review, we appraise innovative point-of-care devices that enable the early diagnosis of DPN and assess the evidence for early risk factor-based management strategies to reduce the incidence and slow the progression of DPN. We also propose a framework for screening and early multifactorial interventions as the best prospect for preventing or halting DPN and its devastating sequelae.

Long-term effects of intensive multifactorial therapy in individuals with screen-detected type 2 diabetes in primary care: 10-year follow-up of the ADDITION-Europe cluster-randomised trial

BACKGROUND

The multicentre, international ADDITION-Europe study investigated the effect of promoting intensive treatment of multiple risk factors among people with screen-detected type 2 diabetes over 5 years. Here we report the results of a post-hoc 10-year follow-up analysis of ADDITION-Europe to establish whether differences in treatment and cardiovascular risk factors have been maintained and to assess effects on cardiovascular outcomes.

METHODS

As previously described, general practices from four centres (Denmark, Cambridge [UK], Leicester [UK], and the Netherlands) were randomly assigned by computer-generated list to provide screening followed by routine care of diabetes, or screening followed by intensive multifactorial treatment. Population-based stepwise screening programmes among people aged 40-69 years (50-69 years in the Netherlands), between April, 2001, and December, 2006, identified patients with type 2 diabetes. Allocation was concealed from patients. Following the 5-year follow-up, no attempts were made to maintain differences in treatment between study groups. In this report, we did a post-hoc analysis of cardiovascular and renal outcomes over 10 years following randomisation, including a 5 years post-intervention follow-up. As in the original trial, the primary endpoint was a composite of first cardiovascular event, including cardiovascular mortality, cardiovascular morbidity (non-fatal myocardial infarction and non-fatal stroke), revascularisation, and non-traumatic amputation, up to Dec 31, 2014. Analyses were based on the intention-to-treat principle. ADDITION-Europe is registered with ClinicalTrials.gov, NCT00237549.

FINDINGS

343 general practices were randomly assigned to routine diabetes care (n=176) or intensive multifactorial treatment (n=167). 317 of these general practices (157 in the routine care group, 161 in the intensive treatment group) included eligible patients between April, 2001, and December, 2006. Of the 3233 individuals with screen-detected diabetes, 3057 agreed to participate (1379 in the routine care group, 1678 in the intensive treatment group), but at the 10-year follow-up 14 were lost to follow-up and 12 withdrew, leaving 3031 to enter 10-year follow-up analysis. Mean duration of follow-up was 9·61 years (SD 2·99). Sustained reductions over 10 years following diagnosis were apparent for bodyweight, HbA_1c, blood pressure, and cholesterol in both study groups, but between-group differences identified at 1 and 5 years were attenuated at the 10-year follow-up. By 10 years, 443 participants had a first cardiovascular event and 465 died. There was no significant difference between groups in the incidence of the primary composite outcome (16·1 per 1000 person-years in the routine care group vs 14·3 per 1000 person-years in the intensive treatment group; hazard ratio [HR] 0·87, 95% CI 0·73-1·04; p=0·14) or all-cause mortality (15·6 vs 14·3 per 1000 person-years; HR 0·90, 0·76-1·07).

INTERPRETATION

Sustained reductions in glycaemia and related cardiovascular risk factors over 10 years among people with screen-detected diabetes managed in primary care are achievable. The differences in prescribed treatment and cardiovascular risk factors in the 5 years following diagnosis were not maintained at 10 years, and the difference in cardiovascular events and mortality remained non-significant.

FUNDING

National Health Service Denmark, Danish Council for Strategic Research, Danish Research Foundation for General Practice, Novo Nordisk, Novo Nordisk Foundation, Danish Centre for Evaluation and Health Technology Assessment, Danish National Board of Health, Danish Medical Research Council, Aarhus University Research Foundation, Astra, Pfizer, GlaxoSmithKline, Servier, HemoCue, Wellcome Trust, UK Medical Research Council, UK National Institute for Health Research, UK National Health Service, Merck, Julius Center for Health Sciences and Primary Care, UK Department of Health, and Nuts-OHRA.