Depression and cause-specific mortality in an ethnically diverse cohort from the UK: 8-year prospective study

Excess mortality and life-years lost in people diagnosed with depression: A 20-year population-based cohort study of 126,573 depressed individuals followed for 1,139,073 persons-years

Depression is associated with premature mortality, but evidence is mainly derived from Western countries. Very limited research has evaluated shortened lifespan in depression using life-years-lost (LYLs), a recently developed mortality metric taking into account the illness onset for life expectancy estimation. Temporal trends of differential mortality gap are understudied. This population-based cohort study, which utilized a territory-wide medical-record database of public inpatient and outpatient healthcare services in Hong Kong, evaluated the extent of premature mortality in 126,573 individuals with depression (persons-years=1,139,073) between January 2002 and December 2021 regarding the standardized mortality ratio (SMR) and excess LYLs. Trends in annual SMRs over 20 years were assessed by joinpoint analyses. The results showed that individuals with depression exhibited significantly higher all-cause (SMR=1.84 [95% CI=1.82-1.88]), natural-cause (1.69 [1.66-1.72]), and unnatural-cause (5.24 [4.97-5.51]) mortality rates than the general population. Suicide-specific SMR was markedly elevated (7.92 [7.47-8.38]), particularly in the 15-34 year-olds (12.75 [10.87-14.79]). Respiratory diseases, cardiovascular diseases and cancers accounted for the majority of deaths. Excess LYLs extended to men (5.67 years, 95% CI = 5.45-5.90) and women (4.06 years, 95% CI = 3.89-4.23). Overall and natural-cause mortality rates improved over time, but unnatural-cause and suicide-related mortality gaps persisted. Taken together, this study indicates that depression is associated with increased premature mortality and reduced lifespan in a predominantly Chinese population, mainly attributed to natural causes. Relative suicide-specific mortality is substantially elevated, especially among young people. The pronounced mortality gap underscores an urgent need for effective interventions targeting improved physical health and suicide risk reduction in individuals with depression.

Association between the depressive symptom trajectories and all-cause mortality in Chinese middle-aged and elderly adults

Previous studies reported that depressive symptoms were associated with a high risk of all-cause mortality. However, the effect of different long-term depressive symptom trajectory patterns on the risk of all-cause mortality has not been evaluated. Our research aimed to explore the association between different depressive symptom trajectories and the risk of all-cause mortality in Chinese adults. The data we used were from the China Health and Retirement Longitudinal Study. In total, 13,624 subjects aged over 45 years were ultimately included in the analysis. Group-based trajectory modeling was used to identify the different trajectories of depressive symptoms. The multivariable Cox regression model was used to examine the association between long-term depressive symptom trajectories and all-cause mortality. The results show that a total of five depressive symptom trajectories were identified in our study, including stable-low, stable-moderate, increasing, decreasing and stable-high. Compared with individuals in the stable-low depressive symptom trajectories group, those in the increasing and stable-high trajectory groups possessed a greater mortality rate, with a multivariable-adjusted hazard ratio (95% CIs) for mortality were 1.30 (1.06, 1.60) and 1.59 (1.26, 2.02), respectively. In addition, we have not identified the significant risk of all-cause mortality in people with decreased and stable-moderate symptom trajectories. Moreover, the risk of all-cause mortality had an increasing trend among the different trajectory groups. In the sensitivity analysis, the association was robust in most of the subgroups. In conclusion, people with increasing and persistent higher depressive symptom trajectories were associated with an increased risk of all-cause mortality.

Elevated Mortality Rate in Patients With Functional Seizures After Diagnosis and Referral

Background and Objectives

To evaluate the standardized mortality ratio (SMR) of patients in the United States referred to a multidisciplinary clinic for treatment of functional seizures.

Methods

We identified patients who had or had not died based on automated retrospective review of electronic health records from a registry of patients referred to a single-center multidisciplinary functional seizures treatment clinic. We calculated an SMR by comparing the number of observed deaths with the expected number of deaths in an age-matched, sex-matched, and race-matched population within the same state, and year records were available.

Results

A total of 700 patients with functional seizures (mean age 37 years, 78% female) were followed up for 1,329 patient-years for a median of 15 months per patient (interquartile range 6-37 months). We observed 11 deaths, corresponding to a mortality rate of 8.2 per 1,000 patient-years and an SMR of 2.4 (95% confidence interval: 1.17-4.22). Five of 9 patients with identified circumstances around their death were in hospice care when they passed. None of the identified causes of death were related to seizures directly.

Discussion

These data provide further evidence of elevated mortality in functional seizures soon after diagnosis and referral to treatment. These data from the decentralized health care system of the United States build on the findings from other countries with large-scale health registries.

Ethnicity and survival after a dementia diagnosis: a retrospective cohort study using electronic health record data

BACKGROUND

Individuals from minority ethnic groups in the UK are thought to be at higher risk of developing dementia while facing additional barriers to receiving timely care. However, few studies in the UK have examined if there are ethnic disparities in survival once individuals receive a dementia diagnosis.

METHODS

We conducted a retrospective cohort study using electronic health record data of individuals diagnosed with dementia from a large secondary mental healthcare provider in London. Patients from Black African, Black Caribbean, South Asian, White British, and White Irish ethnic backgrounds were followed up for a 10-year period between 01 January 2008 and 31 December 2017. Data were linked to death certificate data from the Office of National Statistics to determine survival from dementia diagnosis. Standardised mortality ratios were calculated to estimate excess deaths in each ethnicity group as compared to the gender- and age-standardised population of England and Wales. We used Cox regression models to compare survival after dementia diagnosis across each ethnicity group.

RESULTS

Mortality was elevated at least twofold across all ethnicity groups with dementia compared to the general population in England and Wales. Risk of death was lower in Black Caribbean, Black African, White Irish, and South Asian groups as compared to the White British population, even after adjusting for age, gender, neighbourhood-level deprivation, indicators of mental and physical comorbidities. Risk of death remained lower after additionally accounting for those who emigrated out of the cohort.

CONCLUSIONS

While mortality in dementia is elevated across all ethnic groups as compared to the general population, reasons for longer survival in minority ethnic groups in the UK as compared to the White British group are unclear and merit further exploration. Implications of longer survival, including carer burden and costs, should be considered in policy and planning to ensure adequate support for families and carers of individuals with dementia.

Associations between multiple long-term conditions and mortality in diverse ethnic groups

BACKGROUND

Multiple conditions are more prevalent in some minoritised ethnic groups and are associated with higher mortality rate but studies examining differential mortality once conditions are established is US-based. Our study tested whether the association between multiple conditions and mortality varies across ethnic groups in England.

METHODS AND FINDINGS

A random sample of primary care patients from Clinical Practice Research Datalink (CPRD) was followed from 1st January 2015 until 31st December 2019. Ethnicity, usually self-ascribed, was obtained from primary care records if present or from hospital records. Long-term conditions were counted from a list of 32 that have previously been associated with greater primary care, hospital admissions, or mortality risk. Cox regression models were used to estimate mortality by count of conditions, ethnicity and their interaction, with adjustment for age and sex for 532,059 patients with complete data. During five years of follow-up, 5.9% of patients died. Each additional condition at baseline was associated with increased mortality. The direction of the interaction of number of conditions with ethnicity showed a statistically higher mortality rate associated with long-term conditions in Pakistani, Black African, Black Caribbean and Other Black ethnic groups. In ethnicity-stratified models, the mortality rate per additional condition at age 50 was 1.33 (95% CI 1.31,1.35) for White ethnicity, 1.43 (95% CI 1.26,1.61) for Black Caribbean ethnicity and 1.78 (95% CI 1.41,2.24) for Other Black ethnicity.

CONCLUSIONS

The higher mortality rate associated with having multiple conditions is greater in minoritised compared with White ethnic groups. Research is now needed to identify factors that contribute to these inequalities. Within the health care setting, there may be opportunities to target clinical and self-management support for people with multiple conditions from minoritised ethnic groups.

Cost-utility analysis of esketamine and electroconvulsive therapy in adults with treatment-resistant depression

BACKGROUND

Electroconvulsive therapy (ECT) has long been used for treating individuals with treatment-resistant depression (TRD). Esketamine has recently emerged as a new treatment for TRD due to its rapid antidepressant effects. To further inform the decision regarding choice of treatment, this paper aims to evaluate whether ECT or esketamine is the more cost-effective option.

METHODS

The cost-effectiveness was derived as cost per quality-adjusted life-year (QALY) using a Markov model from a societal and life-time perspective. The incremental cost-effectiveness ratio (ICER) was calculated. Health states included different depression and remission states and death. Data to populate the model was derived from randomised controlled trials and other research. Various sensitivity analyses were carried out to test the robustness of the model.

RESULTS

The base case scenario shows that ECT is cost-effective compared to esketamine and yields more QALYs at a lower cost. The sensitivity analysis shows that ECT is cost-effective in all scenarios and ECT dominates esketamine in 12 scenarios.

CONCLUSIONS

This study found that, from a cost-effectiveness point of view, ECT should be the first-hand option for individuals with TRD, when other first line treatments have failed. Considering the lack of economic evaluation of ECT and esketamine, this study is of great value to decision makers.

All-cause and cause-specific mortality in people with mental disorders and intellectual disabilities, before and during the COVID-19 pandemic: cohort study

BACKGROUND

People with mental disorders and intellectual disabilities experience excess mortality compared with the general population. The impact of COVID-19 on exacerbating this, and in widening ethnic inequalities, is unclear.

METHODS

Prospective data (N=167,122) from a large mental healthcare provider in London, UK, with deaths from 2019 to 2020, used to assess age- and gender-standardised mortality ratios (SMRs) across nine psychiatric conditions (schizophrenia-spectrum disorders, affective disorders, somatoform/ neurotic disorders, personality disorders, learning disabilities, eating disorders, substance use disorders, pervasive developmental disorders, dementia) and by ethnicity.

FINDINGS

Prior to the World Health Organization (WHO) declaring COVID-19 a public health emergency on 30th January 2020, all-cause SMRs across all psychiatric cohorts were more than double the general population. By the second quarter of 2020, when the UK experienced substantial peaks in COVID-19 deaths, all-cause SMRs increased further, with COVID-19 SMRs elevated across all conditions (notably: learning disabilities: SMR: 9.24 (95% CI: 5.98-13.64), pervasive developmental disorders: 5.01 (95% CI: 2.40-9.20), eating disorders: 4.81 (95% CI: 1.56-11.22), schizophrenia-spectrum disorders: 3.26 (95% CI: 2.55-4.10), dementia: 3.82 (95% CI: 3.42, 4.25) personality disorders 4.58 (95% CI: 3.09-6.53)). Deaths from other causes remained at least double the population average over the whole year. Increased SMRs were similar across ethnic groups.

INTERPRETATION

People with mental disorders and intellectual disabilities were at a greater risk of deaths relative to the general population before, during and after the first peak of COVID-19 deaths, with similar risks by ethnicity. Mortality from non-COVID-19/ other causes was elevated before/ during the pandemic, with higher COVID-19 mortality during the pandemic.

FUNDING

ESRC (JD, CM), NIHR (JD, RS, MH), Health Foundation (JD), GSK, Janssen, Takeda (RS).

Differences in survival and mortality in minority ethnic groups with dementia: A systematic review and meta-analysis

OBJECTIVES

Although there are disparities in both risk of developing dementia and accessibility of dementia services for certain minority ethnic groups in the United States and United Kingdom, disparities in survival after a dementia diagnosis are less well-studied. Our objective was to systematically review the literature to investigate racial/ethnic differences in survival and mortality in dementia.

METHODS

We searched Embase, Ovid MEDLINE, Global Health and PsycINFO from inception to November 2018 for studies comparing survival or mortality over time in at least two race/ethnicity groups. Studies from any country were included but analysed separately. We used narrative synthesis and random-effects meta-analysis to synthesise findings. The Newcastle-Ottawa Scale was used to assess quality and risk of bias in individual studies.

RESULTS

We identified 22 articles, most from the United States (n = 17), as well as the United Kingdom (n = 3) and the Netherlands (n = 1). In a meta-analysis of US studies, hazard of mortality was lower in Black/African American groups (Pooled Hazard Ratio = 0.86, 95% CI = 0.82-0.91, I²  = 17%, from four studies) and Hispanic/Latino groups (Pooled HR = 0.65, 95% CI = 0.50-0.84, I²  = 86%, from four studies) versus comparison groups. However, study quality was mixed, and in particular, quality of reporting of race/ethnicity was inconsistent.

CONCLUSION

Literature indicates that Black/African American and Hispanic/Latino groups may experience lower mortality in dementia versus comparison groups in the United States, but further research, using clearer and more and consistent reporting of race/ethnicity, is necessary to understand what drives these patterns and their implications for policy and practice.

Complex mental health needs in older people living with frailty

Frailty describes a state of health whereby people develop multiple or cumulative deficits in physiological systems over the life course, leading to vulnerability and being less able to respond to acute and/or physiological stressors, which at times may be relatively minor. Mental health should be an important consideration in the assessment and management of frailty in older people. This article provides an overview and clinical perspective on the evidence relating to frailty and mental health assessment and management.

The joint association of diabetes distress and depressive symptoms with all-cause mortality in Japanese individuals with type 2 diabetes: a prospective cohort study (Diabetes Distress and Care Registry in Tenri [DDCRT 20])

AIMS/HYPOTHESIS

The independent association of depressive symptoms and diabetes distress with mortality risk in individuals with diabetes has not been evaluated. We examined the temporal joint association of diabetes distress and depressive symptoms at baseline and the subsequent risk of all-cause mortality.

METHODS

The longitudinal data of 3118 individuals with type 2 diabetes were obtained from a large Japanese diabetes registry. To assess the joint association of diabetes distress and depressive symptoms at baseline with the subsequent risk of all-cause mortality, the Cox proportional hazards model was used with adjustment for potential confounders.

RESULTS

The mean age, BMI and HbA_1c levels were 64.7 years, 24.6 kg/m² and 58.6 mmol/mol (7.5%), respectively, and 38.1% of the participants were women. In the multivariable-adjusted models evaluating the diabetes distress and depressive symptoms separately, the HRs for all-cause mortality were 1.67 (95% CI 1.14, 2.43; p = 0.008) and 1.40 (95% CI 1.05, 1.85; p = 0.020), respectively. In such models evaluating the joint association of diabetes distress and depressive symptoms, compared with individuals without diabetes distress or depressive symptoms (DD^-/DS^-), the HRs for all-cause mortality for the group without diabetes distress but with depressive symptoms (DD^-/DS⁺), with diabetes distress but without depressive symptoms (DD⁺/DS^-), and with diabetes distress and depressive symptoms (DD⁺/DS⁺) were 1.34 (95% CI 0.99, 1.86; p = 0.056), 1.96 (95% CI 1.10, 3.50; p = 0.023) and 1.71 (95% CI 1.06, 2.77; p = 0.029), respectively. We did not observe a significant interaction between diabetes distress and depressive symptoms with all-cause mortality risk (p = 0.2636). In the stratified analysis by sex, a significant joint association of diabetes distress and depressive symptoms with the risk of all-cause mortality was observed only in men.

CONCLUSIONS/INTERPRETATION

Diabetes distress and depressive symptoms were independently associated with all-cause mortality risk in male participants with type 2 diabetes, but we did not observe a significant interaction between diabetes distress and depressive symptoms in relation to all-cause mortality. Graphical abstract.

Toward the Development of Data Governance Standards for Using Clinical Free-Text Data in Health Research: Position Paper

BACKGROUND

Clinical free-text data (eg, outpatient letters or nursing notes) represent a vast, untapped source of rich information that, if more accessible for research, would clarify and supplement information coded in structured data fields. Data usually need to be deidentified or anonymized before they can be reused for research, but there is a lack of established guidelines to govern effective deidentification and use of free-text information and avoid damaging data utility as a by-product.

OBJECTIVE

This study aimed to develop recommendations for the creation of data governance standards to integrate with existing frameworks for personal data use, to enable free-text data to be used safely for research for patient and public benefit.

METHODS

We outlined data protection legislation and regulations relating to the United Kingdom for context and conducted a rapid literature review and UK-based case studies to explore data governance models used in working with free-text data. We also engaged with stakeholders, including text-mining researchers and the general public, to explore perceived barriers and solutions in working with clinical free-text.

RESULTS

We proposed a set of recommendations, including the need for authoritative guidance on data governance for the reuse of free-text data, to ensure public transparency in data flows and uses, to treat deidentified free-text data as potentially identifiable with use limited to accredited data safe havens, and to commit to a culture of continuous improvement to understand the relationships between the efficacy of deidentification and reidentification risks, so this can be communicated to all stakeholders.

CONCLUSIONS

By drawing together the findings of a combination of activities, we present a position paper to contribute to the development of data governance standards for the reuse of clinical free-text data for secondary purposes. While working in accordance with existing data governance frameworks, there is a need for further work to take forward the recommendations we have proposed, with commitment and investment, to assure and expand the safe reuse of clinical free-text data for public benefit.