Complications and mortality in patients with schizophrenia and diabetes: population-based cohort study

DIAMONDS-a diabetes self-management intervention for people with severe mental illness: protocol for an individually randomised controlled multicentre trial

INTRODUCTION

Type 2 diabetes mellitus (T2DM) is two to three times more common in people with severe mental illness (SMI) than in the general population. Supporting self-management in diabetes is fundamental to improving clinical outcomes. The DIAMONDS trial aims to evaluate the clinical and cost effectiveness of a novel, codesigned, supported diabetes self-management programme for people with T2DM and SMI.

METHODS AND ANALYSIS

This multicentre, two-armed, parallel, individually randomised controlled trial will be conducted in National Health Service mental health trusts across England. We will recruit 380 participants (≥18 years old) with a diagnosis of SMI (schizophrenia, bipolar disorder, schizoaffective disorder, psychosis and severe depression) and T2DM. Eligible and consenting participants will be randomised to the DIAMONDS intervention or treatment as usual. The intervention group will receive one-to-one sessions with a trained DIAMONDS Coach for six months. These sessions will focus on goal setting, action planning and diabetes self-management education, supported by a paper-based workbook and an optional digital application. Individuals allocated to the control group will continue to receive usual care and may be offered National Institute for Health and Care Excellence-recommended generic diabetes self-management education programmes in line with usual practice. The primary outcome is the difference in glycated haemoglobin (HbA1c) between both groups at 12 months postrandomisation. The secondary outcomes include measures of physical and mental health, diabetes complications and physical activity. Economic and process evaluations will also be performed. Outcomes will be collected at baseline and at six and 12 month post-randomisation.

ETHICS AND DISSEMINATION

This study received ethics approval by the West of Scotland Research Ethics Committee 3 (22/WS/0117). Findings will be published in peer-reviewed, academic and professional journals. We will also be producing plain language summaries, infographics and audio summaries on the website, as well as attending conferences and dissemination events. A summary of the results will be distributed to all participants and other relevant stakeholders, and we will use social media channels, websites and knowledge exchange events to communicate our findings beyond academic audiences.

TRIAL REGISTRATION NUMBER

ISRCTN22275538.

Prevalence of, and factors associated with, diabetes mellitus in people with severe mental illness attending a multidisciplinary, outpatient cardiometabolic health assessment service

INTRODUCTION

Evaluate the prevalence of, and factors associated with, diabetes in people with severe mental illness (SMI) attending the Collaborative Centre for Cardiometabolic Health in Psychosis (ccCHiP) tertiary referral clinics.

RESEARCH DESIGN AND METHODS

Adult patients attending an initial ccCHiP clinic consultation (2014-2019) were studied. Diabetes was defined by an hemoglobin A1c of ≥6.5%, fasting blood glucose of ≥7.0 mmol/L, or a self-reported diagnosis of diabetes and prescription of antihyperglycemic medication.

RESULTS

Over 5 years, 1402 individuals attended a baseline consultation. Mean age of 43.9±12.8 years, 63.1% male and 63.5% had a diagnosis of schizophrenia. Prevalence of diabetes was 23.0% (n=322); an additional 19.5% fulfilled criteria for pre-diabetes. Of those with diabetes, 15.8% were newly diagnosed. Of those with pre-existing diabetes, 84.5% were receiving treatment with antihyperglycemic medication. Over 94% of individuals with diabetes had dyslipidemia; half were current smokers; and 46.4% reported sedentary behavior. On multivariate analysis, diabetes was associated with older age, Aboriginal, Indian or Middle Eastern maternal ethnicity, elevated waist-to-height ratio, family history of diabetes and use of antipsychotic medication.

CONCLUSION

Prevalence of diabetes mellitus in this multiethnic cohort with SMI is significantly higher than the Australian population. Targeted interventions via an assertive integrated approach are required to optimize cardiometabolic health in this population.

Temporal Trends in Mortality Associated with Comorbid Type 2 Diabetes and Schizophrenia: The Fremantle Diabetes Study

BACKGROUND

In Phase I of the community-based Fremantle Diabetes Study (FDS1), there was evidence of a deleterious interactive effect of schizophrenia and type 2 diabetes on mortality. Our aim was to investigate whether the mortality gap had improved in FDS Phase II (FDS2) conducted 15 years later.

METHODS

Participants with type 2 diabetes from FDS1 (n = 1291 recruited 1993-1996) and FDS2 (n = 1509 recruited 2008-2011) were age-, sex- and postcode-matched 1:4 to people without diabetes. Schizophrenia at entry and incident deaths were ascertained from validated administrative data.

RESULTS

Schizophrenia affected 50/11,195 (0.45%) of participants without diabetes and 17/2800 (0.61%) of those with type 2 diabetes (p = 0.284). During 142,304 person-years of follow-up, the mortality rate (95% CI) was lowest for the FDS2 subgroup without diabetes/schizophrenia (18.2 (16.9, 19.6)/1000 person-years) and highest in FDS2 and FDS1 subgroups with type 2 diabetes/schizophrenia (53.3 (14.5, 136.6) and 98.0 (31.8, 228.8)/1000 person-years, respectively). Compared to the respective FDS subgroup without diabetes/schizophrenia, the mortality rate ratio was approximately 50% higher in the type 2 diabetes subgroup, and three times higher in those with type 2 diabetes/schizophrenia. In Cox regression, unadjusted hazard ratios were highest in those with type 2 diabetes/schizophrenia in FDS1 (HR (95% CI): 3.71 (1.54, 8.93) and FDS2 (2.96 (1.11, 7.91)), increasing to 5.61 (2.33, 13.5) and 26.9 (9.94, 72.6), respectively, after adjustment for age.

CONCLUSIONS

Although limited by small numbers of schizophrenia cases, these data suggest that comorbid type 2 diabetes and schizophrenia remains associated with a substantial and possibly increasing mortality gap.

Association of comorbid mental disorders with cardiovascular disease risk in patients with type 2 diabetes: A nationwide cohort study

OBJECTIVE

To examine the association between comorbid mental disorders and cardiovascular disease (CVD) risk among patients with type 2 diabetes.

METHOD

This retrospective cohort study was conducted using the claims data of 2,227,394 South Korean patients with type 2 diabetes. We analyzed the occurrence of CVD including myocardial infarction (MI) and ischemic stroke, CVD-specific mortality, and all-cause mortality according to comorbid mental disorders including depressive disorders, bipolar and related disorders, schizophrenia spectrum disorders, insomnia, and anxiety disorders.

RESULTS

Among the patients, 9.1% had a comorbid mental disorder. The adjusted hazard ratios (aHR) for MI, ischemic stroke, CVD-specific mortality, and all-cause mortality in patients with any mental disorder were 1.20 (95% CI, 1.17-1.24), 1.13 (95% CI, 1.11-1.16), 1.16 (95% CI, 1.12-1.20), and 1.21 (95% CI, 1.19-1.23), respectively. Each mental disorder increased the risk of all outcomes, particularly bipolar and related disorders and schizophrenia spectrum disorders.

CONCLUSION

Comorbid mental disorders increased the CVD risk in patients with type 2 diabetes, with significantly increased risks associated with schizophrenia spectrum disorders (aHR: 1.27 for MI and 1.50 for ischemic stroke) and bipolar and related disorders (aHR: 1.27 for MI and 1.45 for ischemic stroke).

A theory and evidence-based co-design approach to develop a supported self-management intervention for people with severe mental illness and type 2 diabetes (Preprint)

BACKGROUND

Type 2 diabetes is 2 to 3 times more common among people with severe mental illness (SMI). Self-management is crucial, with additional challenges faced by people with SMI. Therefore, it is essential that any diabetes self-management program for people with SMI addresses the unique needs of people living with both conditions and the inequalities they experience within health care services.

OBJECTIVE

We combined theory, empirical evidence, and co-design approaches to develop a type 2 diabetes self-management intervention for people with SMI.

METHODS

The development process encompassed 4 steps: step 1 involved prioritizing the mechanisms of action (MoAs) and behavior change techniques (BCTs) for the intervention. Using findings from primary qualitative research and systematic reviews, we selected candidate MoAs to target in the intervention and candidate BCTs to use. Expert stakeholders then ranked these MoAs and BCTs using a 2-phase survey. The average scores were used to generate a prioritized list of MoAs and BCTs. During step 2, we presented the survey results to an expert consensus workshop to seek expert agreement with the definitive list of MoAs and BCTs for the intervention and identify potential modes of delivery. Step 3 involved the development of trigger films using the evidence from steps 1 and 2. We used animations to present the experiences of people with SMI managing diabetes. These films were used in step 4, where we used a stakeholder co-design approach. This involved a series of structured workshops, where the co-design activities were informed by theory and evidence.

RESULTS

Upon the completion of the 4-step process, we developed the DIAMONDS (diabetes and mental illness, improving outcomes and self-management) intervention. It is a tailored self-management intervention based on the synthesis of the outputs from the co-design process. The intervention incorporates a digital app, a paper-based workbook, and one-to-one coaching designed to meet the needs of people with SMI and coexisting type 2 diabetes.

CONCLUSIONS

The intervention development work was underpinned by the MoA theoretical framework and incorporated systematic reviews, primary qualitative research, expert stakeholder surveys, and evidence generated during co-design workshops. The intervention will now be tested for feasibility before undergoing a definitive evaluation in a pragmatic randomized controlled trial.

The lived experience of severe mental illness and long-term conditions: a qualitative exploration of service user, carer, and healthcare professional perspectives on self-managing co-existing mental and physical conditions

BACKGROUND

People with severe mental illness (SMI), such as schizophrenia, have higher rates of physical long-term conditions (LTCs), poorer health outcomes, and shorter life expectancy compared with the general population. Previous research exploring SMI and diabetes highlights that people with SMI experience barriers to self-management, a key component of care in long-term conditions; however, this has not been investigated in the context of other LTCs. The aim of this study was to explore the lived experience of co-existing SMI and LTCs for service users, carers, and healthcare professionals.

METHODS

A qualitative study with people with SMI and LTCs, their carers, and healthcare professionals, using semi-structured interviews, focused observations, and focus groups across the UK. Forty-one interviews and five focus groups were conducted between December 2018 and April 2019. Transcripts were coded by two authors and analysed thematically.

RESULTS

Three themes were identified, 1) the precarious nature of living with SMI, 2) the circularity of life with SMI and LTCs, and 3) the constellation of support for self-management. People with co-existing SMI and LTCs often experience substantial difficulties with self-management of their health due to the competing demands of their psychiatric symptoms and treatment, social circumstances, and access to support. Multiple long-term conditions add to the burden of self-management. Social support, alongside person-centred professional care, is a key facilitator for managing health. An integrated approach to both mental and physical healthcare was suggested to meet service user and carer needs.

CONCLUSION

The demands of living with SMI present a substantial barrier to self-management for multiple co-existing LTCs. It is important that people with SMI can access person-centred, tailored support for their LTCs that takes into consideration individual circumstances and priorities.

Severe Mental Illness and the Risk of Diabetes Complications: A Nationwide, Register-based Cohort Study

CONTEXT

Individuals with severe mental illness (SMI) are at increased risk of developing type 2 diabetes.

OBJECTIVE

This work explores whether individuals with diabetes and SMI are also at increased risk of diabetes complications and the potential age-specific differences in development of these.

METHODS

Using nationwide registry data, we followed the entire Danish population with type 2 diabetes from January 1, 1996 to December 31, 2018. Exposure was SMI (schizophrenia, bipolar, or depression disorders). Outcome was diabetes complications (nephropathy, retinopathy, lower limp amputations, and cardiovascular disease). We applied Poisson regression models to estimate overall incidence rate ratios (IRRs) and age-specific incidence rates (IRs) and IRRs of the first event of each complication in individuals with SMI compared to individuals without SMI. The models were adjusted for sex, age, diabetes duration, calendar year, education, and migration status.

RESULTS

We followed 371 625 individuals with type 2 diabetes, of whom 30 102 had coexisting diagnosed SMI. Individuals with SMI had a higher IR of nephropathy (IRR: 1.15; 95% CI, 1.12-1.18), amputations (IRR: 1.15; 95% CI, 1.04-1.28), and cardiovascular disease (men: IRR: 1.10; 95% CI, 1.05-1.15, women: IRR: 1.18; 95% CI, 1.13-1.22) but a lower IR of retinopathy (IRR: 0.75; 95% CI, 0.70-0.81) when compared to individuals without SMI, after adjustment for confounders. For all complications except amputations, the difference in IR was highest in the younger age groups.

CONCLUSION

Individuals with type 2 diabetes and SMI had a higher risk and an earlier onset of several diabetes complications diagnoses, emphasizing focusing on improving diabetes management in younger age groups with SMI.

The type rather than the daily dose or number of antipsychotics affects the incidence of hyperglycemic progression

There have been concerns that antipsychotics increase the incidence of hyperglycemic progression. Many factors have been suggested to contribute to the risk of antipsychotic-induced hyperglycemic progression, including the type, daily dose, and number of antipsychotics; however, few studies have examined these relationships. This study aimed to examine the affect of antipsychotic treatment-associated factors on hyperglycemic progression, after adjustment for the affect of background factors suggested to be associated with hyperglycemic progression. This was a nationwide, multicenter, prospective cohort study examining the incidence of hyperglycemic progression during a 12 mo period following the initiation of newly prescribed antipsychotic medication. Demographic data, medication history, and blood test values were collected from 631 study participants with normal blood glucose levels at baseline for 12 mo. The primary endpoint (incidence of hyperglycemic progression) was defined as progression from normal to prediabetic or probable diabetic status, and was evaluated based on the Japanese monitoring guidance in patients with schizophrenia. To further examine the affect of antipsychotics on glucose metabolism over time, we examined changes in HbA1c levels 3, 6, and 12 mo after the initiation of treatment with each antipsychotic. We found that treatment with zotepine and clozapine was associated with a significantly high incidence of hyperglycemic progression. Furthermore, changes in HbA1c levels 6 mo after the initiation of zotepine treatment were significantly higher than those following blonanserin and haloperidol treatments. In contrast, there was no significant difference in the change in total cholesterol, triglycerides, HDL cholesterol, and BMI during the same period. Moreover, the "daily dose" and "number" of antipsychotics did not show an association with the incidence of hyperglycemic progression. However, in a post hoc analysis in which the antipsychotics were divided into two groups according to the strength of blockade of H₁, M₁, M₃, and 5-HT_2C receptors, the incidence of hyperglycemic progression was higher in the medium- and high-daily dose groups than in the low-daily dose group in the antipsychotic group with strong blockade of these receptors. Our study indicated that the type of antipsychotic had a greater affect on the incidence of hyperglycemic progression than the daily dose of antipsychotics or their number. Among these, zotepine was most likely to increase the incidence of hyperglycemic progression, suggesting the need for caution when these antipsychotics are prescribed.

Diabetes complication burden and patterns and risk of mortality in people with schizophrenia and diabetes: A population-based cohort study with 16-year follow-up

Schizophrenia is associated with increased prevalence of diabetes. However, risk of diabetes complications as well as the impact of complication burden and patterns on subsequent mortality risk in schizophrenia patients with co-existing diabetes is understudied. This population-based, propensity-score matched (1:10) cohort study identified 6991 patients with incident diabetes and pre-existing schizophrenia and 68,682 patients with incident diabetes only (comparison group) between 2001 and 2016 in Hong Kong, using territory-wide medical-record database of public healthcare services. Complications were measured by Diabetes Complications Severity Index (DCSI), which stratified complication burden into 6 levels (DCSI score=0, 1, 2, 3, 4, or ≥5). Associations of diabetes complications, in terms of DCSI scores (complication burden), specific types and two-way combinations of complications (complication patterns), with all-cause mortality rate in schizophrenia were evaluated using Cox proportional-hazards models. Schizophrenia group had comparable macrovascular (adjusted OR 0.99 [95% CI 0.92-1.06]) and lower microvascular (0.79 [0.73-0.86]) complication rates relative to comparison group. Mortality risk ratio for schizophrenia was elevated at all complication burden levels, which conferred incremental impact on excess mortality in both groups. Cardiovascular diseases (1.60 [1.45-1.77]) and cerebrovascular-metabolic diseases (2.74 [1.25-5.99]) were associated with the highest differential mortality in schizophrenia among various specific complications and complication combinations, respectively. Our results indicate that schizophrenia patients with co-existing diabetes are at increased risk of excess mortality relative to those with diabetes alone, regardless of complication burden levels. Implementation of multilevel, targeted interventions is needed to improve diabetes-related outcomes and reduce mortality gap in this vulnerable population.

Living with diabetes alongside a severe mental illness: A qualitative exploration with people with severe mental illness, family members and healthcare staff

AIMS

Diabetes is two to three times more prevalent in people with severe mental illness, yet little is known about the challenges of managing both conditions from the perspectives of people living with the co-morbidity, their family members or healthcare staff. Our aim was to understand these challenges and to explore the circumstances that influence access to and receipt of diabetes care for people with severe mental illness.

METHODS

Framework analysis of qualitative semi-structured interviews with people with severe mental illness and diabetes, family members, and staff from UK primary care, mental health and diabetes services, selected using a maximum variation sampling strategy between April and December 2018.

RESULTS

In all, 39 adults with severe mental illness and diabetes (3 with type 1 diabetes and 36 with type 2 diabetes), nine family members and 30 healthcare staff participated. Five themes were identified: (a) Severe mental illness governs everyday life including diabetes management; (b) mood influences capacity and motivation for diabetes self-management; (c) cumulative burden of managing multiple physical conditions; (d) interacting conditions and overlapping symptoms and (e) support for everyday challenges. People living with the co-morbidity and their family members emphasised the importance of receiving support for the everyday challenges that impact diabetes management, and identified barriers to accessing this from healthcare providers.

CONCLUSIONS

More intensive support for diabetes management is needed when people's severe mental illness (including symptoms of depression) or physical health deteriorates. Interventions that help people, including healthcare staff, distinguish between symptoms of diabetes and severe mental illness are also needed.

Accelerated aging signatures in subjects with schizophrenia and their unaffected siblings

Schizophrenia (SZ) is a chronic debilitating disease. Subjects with SZ have significant shorter life expectancy. Growing evidence suggests that a process of pathological accelerated aging occurs in SZ, leading to early development of severe clinical diseases and worse morbimortality. Furthermore, unaffected relatives can share certain endophenotypes with subjects with SZ. We aim to characterize accelerated aging as a possible endophenotype of schizophrenia by using a machine learning (ML) model of peripheral biomarkers to accurately differentiate subjects with SZ (n = 35), their unaffected siblings (SB, n = 36) and healthy controls (HC, n = 47). We used a random forest algorithm that included biomarkers related to aging: eotaxins CCL-11 and CCL-24; the oxidative stress markers thiobarbituric acid-reactive substances (TBARS), protein carbonyl content (PCC), glutathione peroxidase (GPx); and telomere length (TL). The ML algorithm of biomarkers was able to distinguish individuals with SZ from HC with prediction accuracy of 79.7%, SZ from SB with 62.5% accuracy and SB from HC with 75.5% accuracy. These results support the hypothesis that a pathological accelerated aging might occur in SZ, and this pathological aging could be an endophenotype of the disease, once this profile was also observed in SB, suggesting that SB might suffer from an accelerated aging in some level.

Risk of mortality and complications in patients with schizophrenia and diabetes mellitus: population-based cohort study

BACKGROUND

Schizophrenia patients have markedly elevated prevalence of diabetes compared with the general population. However, risk of mortality and diabetes-related complications among schizophrenia patients with co-occurring diabetes is understudied.

AIMS

We investigated whether schizophrenia increased the risk of overall mortality, complications and post-complication mortality in people with diabetes.

METHOD

This population-based, propensity-score matched (1:10) cohort study identified 6991 patients with incident diabetes and pre-existing schizophrenia and 68 682 patients with incident diabetes only between 2001 and 2016 in Hong Kong using a medical record database of public healthcare services. Association between schizophrenia and all-cause mortality was examined with a Cox proportional hazards model. Effect of schizophrenia on first-year complication occurrence following diabetes diagnosis and post-complication mortality rates were evaluated.

RESULTS

Schizophrenia was associated with increased all-cause mortality (adjusted hazards ratio [aHR] 1.11, 95% CI 1.05-1.18), particularly among men and older age groups. Schizophrenia patients with diabetes had higher metabolic complication rate (aHR 1.99, 95% CI 1.63-2.42), lower microvascular complication rate (aHR 0.75, 95% CI 0.65-0.86) and comparable macrovascular complication rate (aHR 0.93, 95% CI 0.85-1.03), relative to patients with diabetes only. Among patients with diabetes complications, schizophrenia was associated with elevated all-cause mortality after macrovascular (aHR 1.19, 95% CI 1.04-1.37) and microvascular (aHR 1.33, 95% CI 1.08-1.64) complications. Gender-stratified analyses revealed that a significant effect of schizophrenia on heightened post-complication mortality was observed in men only.

CONCLUSIONS

Schizophrenia patients with co-occurring diabetes are at increased risk of excess mortality, including post-complication mortality. Further research identifying effective interventions is warranted to optimise diabetes-related outcomes in this vulnerable population.

Identifying determinants of diabetes risk and outcomes for people with severe mental illness: a mixed-methods study

Background

People with severe mental illness experience poorer health outcomes than the general population. Diabetes contributes significantly to this health gap.

Objectives

The objectives were to identify the determinants of diabetes and to explore variation in diabetes outcomes for people with severe mental illness.

Design

Under a social inequalities framework, a concurrent mixed-methods design combined analysis of linked primary care records with qualitative interviews.

Setting

The quantitative study was carried out in general practices in England (2000–16). The qualitative study was a community study (undertaken in the North West and in Yorkshire and the Humber).

Participants

The quantitative study used the longitudinal health records of 32,781 people with severe mental illness (a subset of 3448 people had diabetes) and 9551 ‘controls’ (with diabetes but no severe mental illness), matched on age, sex and practice, from the Clinical Practice Research Datalink (GOLD version). The qualitative study participants comprised 39 adults with diabetes and severe mental illness, nine family members and 30 health-care staff.

Data sources

The Clinical Practice Research Datalink (GOLD) individual patient data were linked to Hospital Episode Statistics, Office for National Statistics mortality data and the Index of Multiple Deprivation.

Results

People with severe mental illness were more likely to have diabetes if they were taking atypical antipsychotics, were living in areas of social deprivation, or were of Asian or black ethnicity. A substantial minority developed diabetes prior to severe mental illness. Compared with people with diabetes alone, people with both severe mental illness and diabetes received more frequent physical checks, maintained tighter glycaemic and blood pressure control, and had fewer recorded physical comorbidities and elective admissions, on average. However, they had more emergency admissions (incidence rate ratio 1.14, 95% confidence interval 0.96 to 1.36) and a significantly higher risk of all-cause mortality than people with diabetes but no severe mental illness (hazard ratio 1.89, 95% confidence interval 1.59 to 2.26). These paradoxical results may be explained by other findings. For example, people with severe mental illness and diabetes were more likely to live in socially deprived areas, which is associated with reduced frequency of health checks, poorer health outcomes and higher mortality risk. In interviews, participants frequently described prioritising their mental illness over their diabetes (e.g. tolerating antipsychotic side effects, despite awareness of harmful impacts on diabetes control) and feeling overwhelmed by competing treatment demands from multiple morbidities. Both service users and practitioners acknowledged misattributing physical symptoms to poor mental health (‘diagnostic overshadowing’).

Limitations

Data may not be nationally representative for all relevant covariates, and the completeness of recording varied across practices.

Conclusions

People with severe mental illness and diabetes experience poorer health outcomes than, and deficiencies in some aspects of health care compared with, people with diabetes alone.

Future work

These findings can inform the development of targeted interventions aimed at addressing inequalities in this population.

Study registration

National Institute for Health Research (NIHR) Central Portfolio Management System (37024); and ClinicalTrials.gov NCT03534921.

Funding

This project was funded by the NIHR Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 9, No. 10. See the NIHR Journals Library website for further project information.

Schizophrenic patients with type 2 diabetes: An 8-year population-based observational study

This paper presents a realistic evaluation of the prevalence of type 2 diabetes mellitus (T2DM) among Polish schizophrenic patients who have sought treatment through the Polish National Health Fund in the years 2010-2017. Data from the National Health Fund database was used and T2DM and schizophrenia groups were defined according to International Classification of Diseases (ICD-10) codes. Demographic data were collected from the web page of Statistics Poland (GUS). The annual prevalence of T2DM and schizophrenia was estimated, and the age groups were categorised into eight sets. The incidence of schizophrenia in T2DM patients in the years 2010-2017 was measured, including relative risk and 95% confidence interval (95% CI). The incidence of T2DM has been assessed in various subtypes of schizophrenia. In the eight years of follow-up study, 1,481,642 patients with schizophrenia were included, of which 185,205 were also diagnosed with T2DM. This accounted for 12.50% of all patients with schizophrenia. The trend of comorbid schizophrenia (F20) and T2DM (E11) in the general population of patients with schizophrenia, who sought treatment through the National Health Fund, was relatively stable in the years 2010-2017. The relative risk of T2DM in those with schizophrenia was 8.33 (95% CI 8.23-8.43) in 2017. Taking actions to enable the detection of diabetes in patients with concomitant schizophrenia is well-grounded, although these actions should be gender-dependent. There is also a need to take adequate actions to improve the efficiency of diabetological care among patients with schizophrenia.

Excess mortality and shortened life expectancy in people with major mental illnesses in Taiwan

AIMS

Given the concerns of health inequality associated with mental illnesses, we aimed to reveal the extent of which general mortality and life expectancy at birth in people with schizophrenia, bipolar disorder and depressive disorder varied in the 2005 and 2010 nationally representative cohorts in Taiwan.

METHODS

Two nationally representative samples of individuals with schizophrenia, bipolar disorder and depressive disorder were identified from Taiwan's national health insurance database in 2005 and 2010, respectively, and followed-up for consecutive 3 years. The database was linked to nationwide mortality registry to identify causes and date of death. Age-, gender- and cause-specific mortality rates were generated, with the average follow-up period of each age- and gender-band applied as 'weighting' for the calculation of expected number of deaths. Age- and gender-standardised mortality ratios (SMRs) were calculated for these 3-year observation periods with Taiwanese general population in 2011/2012 as the standard population. The SMR calculations were then stratified by natural/unnatural causes and major groups of death. Corresponding life expectancies at birth were also calculated by gender, diagnosis of mental disorders and year of cohorts for further elucidation.

RESULTS

The general differential in mortality rates for people with schizophrenia and bipolar disorder remained wide, revealing an SMR of 3.65 (95% confidence interval (CI): 3.55-3.76) for cohort 2005 and 3.27 (3.18-3.36) for cohort 2010 in schizophrenia, and 2.65 (95% CI: 2.55-2.76) for cohort 2005 and 2.39 (2.31-2.48) for cohort 2010 in bipolar disorder, respectively. The SMRs in people with depression were 1.83 (95% CI: 1.81-1.86) for cohort 2005 and 1.59 (1.57-1.61) for cohort 2010. SMRs due to unnatural causes tended to decrease in people with major mental illnesses over the years, but those due to natural causes remained relatively stable. The life expectancies at birth for schizophrenia, bipolar disorder and depression were all significantly lower than the national norms, specifically showing 14.97-15.50 years of life lost for men and 15.15-15.48 years for women in people with schizophrenia.

CONCLUSIONS

Compared to general population, the differential in mortality rates for people with major mental illnesses persisted substantial. The differential in mortality for unnatural causes of death seemed decreasing over the years, but that due to natural causes remained relatively steady. Regardless of gender, people with schizophrenia, bipolar disorder and depression were shown to have shortened life expectancies compared to general population.

Comparison of Elixhauser and Charlson Methods for Discriminative Performance in Mortality Risk in Patients with Schizophrenic Disorders

Although Charlson Comorbidity Index scores (CCIS) and Elixhauser comorbidity index scores (ECIS) have been used to assess comorbidity in patients with schizophrenia, only CCIS, not ECIS, have been used to predict mortality in this population. This nationwide retrospective study investigated discriminative performance of mortality of these two scales in patients with schizophrenia. Exploiting Taiwan's National Health Insurance Research Database (NHRID), we identified patients diagnosed with schizophrenia discharged from hospitals between Jan 1, 1996 and Dec 31, 2007. They were followed up for subsequent death. Comorbidities presented one year prior to hospital admissions were identified and adapted to the CCIS and ECIS. Discriminatory ability was evaluated using the adjusted hazard ratio and Akaike information criterion (AIC) and Harrell's C-statistic. We identified 58,771 discharged patients with schizophrenic disorders and followed them for a mean of 10.4 years, 16.6% of whom had died. Both ECIS and CCIS were significantly associated with mortality, but ECIS had superior discriminatory ability by a lower AIC and higher Harrell's C-statistic (201231 vs. 201400; 0.856 vs. 0.854, respectively). ECIS had better discriminative performance in mortality risk than CCIS in patients with schizophrenic disorders. Its use may be encouraged for risk adjustment in this population.

Risk of diabetic complications and subsequent mortality among individuals with schizophrenia and diabetes - a population-based register study

BACKGROUND

Individuals with schizophrenia often develop diabetes, but little is known about their risk of diabetic complications. We aimed to study incidence of registered diabetic complications and subsequent mortality in individuals with schizophrenia and diabetes compared to individuals with diabetes only.

METHODS

We conducted a cohort study using nationwide registers and followed all individuals in the entire Danish population diagnosed with diabetes from 1997 to 2017. Incidence rate ratios (IRR) of diabetic complications, all-cause and cause-specific mortality rate ratios (MRR) were estimated by Cox regression comparing individuals diagnosed with schizophrenia and diabetes to individuals diagnosed only with diabetes.

RESULTS

In a cohort of 239,118 individuals with diagnosed diabetes, the incidence of any diabetic complication was similar in females with schizophrenia and diabetes compared to females with diabetes only; IRR = 0.93 (95%CI: 0.84-1.02), and significantly lower in males; IRR = 0.85 (95%CI: 0.78-0.92). The all-cause mortality for individuals with a diagnosis of a diabetic complication was higher in individuals with schizophrenia and diabetes than in those with diabetes only; MRR = 1.92 (95%CI: 1.65-2.23) for females and MRR = 1.69 (95%CI: 1.49-1.92) for males. Among those without diabetic complications, schizophrenia was also associated with a higher mortality.

CONCLUSIONS

Individuals with schizophrenia and diabetes had similar or lower rates of diabetic complications, compared to those with diabetes only. Among those with diabetic complications, schizophrenia was associated with higher mortality. Similar, among those without diabetic complications, schizophrenia was also associated with higher mortality. Hence, diabetic complications do not seem to explain the excess mortality seen in individuals with schizophrenia.

Glucose, cholesterol and blood pressure in type II diabetes: A longitudinal observational study comparing patients with and without severe mental illness

WHAT IS KNOWN ON THE SUBJECT?: People with severe mental illness (SMI) have a life expectancy of 15-20 years less than the general population, partly due to increased risk of physical disease, including type II diabetes (T2DM) and cardiovascular disease. Little is known about changes in cardiovascular risk factors over time in people with both T2DM and SMI compared to those with T2DM and no SMI. WHAT THIS PAPER ADDS TO EXISTING KNOWLEDGE?: We investigated whether levels of cardiovascular risk factors, cholesterol, HbA_1c, systolic and diastolic blood pressure associated with adverse clinical outcomes are different in T2DM patients with and without SMI. We found significant differences in systolic blood pressure and HbA_1c between the two groups. Fifty-five percent and twenty-nine percent of T2DM patients with comorbid SMI are at increased risk of adverse clinical outcomes due to sub-optimal HbA_1c and systolic blood pressure levels, respectively. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Many patients with T2DM and SMI have higher levels of cardiovascular risk compared to patients with T2DM only, and good management of risk factors is therefore particularly important in patients with both conditions. Achieving better control of HbA_1c levels is likely to be central to addressing inequalities in outcomes for patients with both SMI and T2DM. Abstract Introduction Patients with both severe mental illness (SMI) and type II diabetes (T2DM) have lower life expectancy than patients with T2DM alone, partly due to poor control of cardiovascular risk factors in comorbid patients. Aim To compare levels of cholesterol, HbA_1c and blood pressure in T2DM patients with and without SMI. Method We analysed longitudinal clinical records of 30,353 people with T2DM (657 with SMI; 29,696 controls without SMI) between 2001 and 2013 using the Clinical Practice Research Datalink (CPRD). We used mixed-effects regression models to compare cardiovascular risk factors between SMI and controls. Results Patients with SMI had lower mean systolic blood pressure (SBP; β: -2.49; SE = .45 p = <.01) and were more likely to have extreme (high and low) values of HbA_1c and SBP (OR: 1.38, 95% CI: 1.16, 1.64 and 1.76:1.40, 2.21, respectively). Discussion People with T2DM and SMI have similar average values of cardiovascular risk factors to people with T2DM alone but are more likely to have values of HbA_1c and SBP indicating increased risk of adverse clinical outcomes. Implications for Practice Improved management of cardiovascular risk factors in general, glycaemic control in particular, is central to addressing the increased risk of adverse outcomes in people with both SMI and T2DM.

[Somatic risks in elderly people with severe psychiatric illnesses]

BACKGROUND

Aged patients with severe mental illness (SMI) suffer from a high risk for functional impairment and a high load of somatic comorbidities. Until now, there has been a lack of systematic studies on this patient population in later life. This review summarizes the most significant somatic comorbidities and discusses the consequences for the medical care of this elderly group of patients.

METHODS

A selective narrative review based on PubMed research and observations in clinical practice.

RESULTS

Life expectancy is shortened by approximately 10 years in patients with SMI. The main reasons are somatic comorbidities, particularly lung and respiratory tract disorders, metabolic syndrome with its subsequent cardiovascular complications, in addition to osteoporosis and fractures with a complicated clinical course. Although life expectancy is shortened, the number of geriatric patients with SMI is increasing and requires special attention to be given to out-patient psychosocial care, self-management of somatic diseases, and to age-appropriate continuation of psychiatric treatment.

CONCLUSION

The life expectancy of patients with SMI is reduced because of their typically somatic comorbidity, but they are reaching increasingly advanced ages as a consequence of improved treatment possibilities. They often require special attention in their diagnostic work-up and support in the management of their treatment. Collaborative care linking medical geriatric and geronto-psychiatric treatment facilities is helpful in the the interdisciplinary therapy required.

Barriers to effective diabetes management - a survey of people with severe mental illness

BACKGROUND

People with severe mental illnesses (SMI) such as schizophrenia and bipolar disorder have an increased risk of developing type 2 diabetes and have poorer health outcomes than those with diabetes alone. To maintain good diabetes control, people with diabetes are advised to engage in several self-management behaviours. The aim of this study was to identify barriers or enablers of diabetes self-management experienced by people with SMI.

METHODS

Adults with type 2 diabetes and SMI were recruited through UK National Health Service organisations and mental health and diabetes charities. Participants completed an anonymous survey consisting of: Summary of Diabetes Self-Care Activities (SDSCA); CORE-10 measure of psychological distress; a measure of barriers and enablers of diabetes self-management based on the Theoretical Domains Framework; Diabetes UK care survey on receipt of 14 essential aspects of diabetes healthcare. To identify the strongest explanatory variables of SDSCA outcomes, significant variables (p < .05) identified from univariate analyses were entered into multiple regressions.

RESULTS

Most of the 77 participants had bipolar disorder (42%) or schizophrenia (36%). They received a mean of 7.6 (SD 3.0) diabetes healthcare essentials. Only 28.6% had developed a diabetes care plan with their health professional and only 40% reported receiving specialist psychological support. Engagement in self-management activities was variable. Participants reported taking medication on 6.1 (SD 2.0) days in the previous week but other behaviours were less frequent: general diet 4.1 (2.3) days; specific diet 3.6 (1.8) days, taking exercise 2.4 (2.1) days and checking feet on 1.7 (1.8) days. Smoking prevalence was 44%. Participants reported finding regular exercise and following a healthy diet particularly difficult. Factors associated with diabetes self-management included: the level of diabetes healthcare and support received; emotional wellbeing; priority given to diabetes; perceived ability to manage diabetes or establish a routine to do so; and perceived consequences of diabetes self-management.

CONCLUSIONS

Several aspects of diabetes healthcare and self-management are suboptimal in people with SMI. There is a need to improve diabetes self-management support for this population by integrating diabetes action plans into care planning and providing adequate psychological support to help people with SMI manage their diabetes.

Association Between Antipsychotic Treatment and Advanced Diabetes Complications Among Schizophrenia Patients With Type 2 Diabetes Mellitus

OBJECTIVE

Antipsychotic drug use is an established risk factor for the development of type 2 diabetes mellitus. However, the effect of antipsychotic drug on the progression of diabetes complications remains unclear. This study aimed to explore the association between antipsychotic treatment and advanced diabetes outcome among schizophrenia patients with type 2 diabetes.

METHODS

The authors conducted a retrospective cohort study using Taiwan's universal health insurance database. A total of 17 629 schizophrenia patients with newly-diagnosed diabetes were enrolled. The mean duration of follow-up, after excluding the first 6-month observation period, was 4.8 years, ranged from 1 month to 11.5 years. Antipsychotic treatment patterns within a 6-month time window were classified into none, irregular use, and regular use. Antipsychotics were further categorized into the high, intermediate, and low metabolic risks. The status of exposure was treated as time-dependent variables. The outcomes measures included any advanced diabetes complications, macrovascular and microvascular complications, and all-cause mortality.

RESULTS

Compared to no antipsychotic treatment in the past 6 months, regular antipsychotic use was associated with a lower risk of any advanced diabetes complications (adjusted hazard ratio, aHR = 0.81, 95% CI = 0.69-0.95), macrovascular complications (aHR = 0.80, 95% CI = 0.66-0.97), and all-cause mortality (aHR = 0.73, 95% CI = 0.62-0.85). The hazard ratios for advanced diabetes complications with regular use of antipsychotics with a high, intermediate, and low metabolic risk were 0.69 (95% CI = 0.53-0.91), 0.82 (95% CI = 0.68-0.99), and 0.85 (95% CI = 0.70-1.02), respectively.

CONCLUSIONS

Regular antipsychotic treatment in the past 6 months was associated with reduced risks of any diabetes complications, compared to no antipsychotic treatment.