Excess mortality in patients with schizophrenia spectrum disorders in Malaga (Spain): A cohort study

Age-stratified risk of suicide in patients with schizophrenia

OBJECTIVES

Schizophrenia is associated with an increased risk of suicide. Few studies have investigated the risk of suicide across different ages, likely due to limitations around sample size.

METHODS

From the National Health Insurance Research Database in Taiwan, this study identified 195,787 patients with schizophrenia from January 1, 2000, to December 31, 2019. During the study period, 3848 patients died from suicide. We calculated the standardized mortality ratio (SMR) for suicide stratified by age. In this age-stratified, nested case-control study, risk set sampling was used to match each case with 4 living controls by age, sex, and the year of the first diagnosis with schizophrenia. Conditional logistic regression was used for estimating age-stratified risk profiles.

RESULTS

The SMR was the highest in the <25 years age group (52.8) and inversely correlated with age. Unemployment was associated with an increased risk of suicide in the 25 to 34, 35 to 44, 45 to 54, and 55 to 64 years age groups. Depressive and sleep disorders before suicide were more common among suicide cases with schizophrenia than among controls across all age groups. Drug-induced and alcohol-induced mental disorders were significantly associated with suicide but were observed only in the age group younger than 54. Heart disease, pneumonia, and moderate or severe renal disease were risk factors for suicide in the age groups less than 65.

CONCLUSIONS

The risk factors for suicide differ by age. This study's findings can be used to optimize health-care interventions for preventing suicide in patients with schizophrenia.

Mentalization-based approach for schizophrenia spectrum disorders: a psychotherapeutic proposal for evolved schizophrenic trajectories and serious mental disorders

There is a growing interest in psychotherapeutic approaches to pre-psychotic high-risk states or first-episode psychosis, where mentalization-based treatment has shown its utility. This article presents a mentalization-based approach for the treatment of those individuals diagnosed with an evolved schizophrenia spectrum disorder, whose characteristics make them especially inaccessible to reflective psychotherapeutic treatment. A synthesis of the conceptual frameworks that justify the needs for technical modification of the mentalization-based treatment foundational techniques is carried out, followed by the proposal of adaptations, with a focus in self-agency and patient-therapist dyad. Therapeutic interventions are outlined, including illustrative examples. The mentalizing approach presented here holds promise for future research and treatment opportunities for patients with evolved schizophrenia and other serious mental disorders.

Urbanization and psychosis: an update of recent evidence

PURPOSE OF REVIEW

Urbanization, a complex global phenomenon, has a significant bearing on schizophrenia/psychosis burden through various socioeconomic and environmental factors. This review focuses on recent evidence (2019-2023) linking urbanization, schizophrenia, and the role of green space.

RECENT FINDINGS

This review analyzed 43 articles that examined the correlation between urban birth or upbringing, urban living (urbanicity), and various schizophrenia/psychosis-related outcomes such as incidence, psychotic experiences, etc. The studies showed differing results across geographical locations. Socioeconomic factors like area deprivation, migrant status (ethnic density) and social fragmentation were independently associated with the risk of schizophrenia/psychosis irrespective of urbanicity. More recently, environmental factors such as green space reduction and air pollution have been explored in urban living conditions and were positively associated with an increased risk of schizophrenia/psychosis.

SUMMARY

There is a need for further investigation in low and middle-income countries. The impact of urbanization-related factors and green space on the risk of schizophrenia/psychosis calls for appropriate governmental commitments toward structured and healthy urban planning.

Substance use and self-poisoning in schizophrenia: 11-year findings from a national clinical survey of suicide in mental health patients in the UK

Suicide is the leading cause of unnatural death among people with schizophrenia. Substance use is a highly prevalent comorbid feature of schizophrenia and a modifiable risk factor for suicide. However, no studies have examined changes in the frequency of substance use or self-poisoning in those who died by suicide over time. Knowing this could support more tailored approaches to reducing specific risk factors and access to means in those with schizophrenia who are at risk of suicide. We conducted an 11-year observational study on a clinical survey of people with schizophrenia in the UK who died by suicide within 12 months of contact with mental health services between 2010 and 2020 (n = 2718). Overall, alcohol, cannabis and stimulants were the most frequently reported substances. The odds of lifetime use significantly increased over time for cannabis, stimulants, heroin, and benzodiazepines. There were differences in socio-demographic, behavioural and clinical factors between those with recent and historical alcohol and drug use before death. Deaths by hanging, jumping and self-poisoning were the most common suicide methods. Though deaths by hanging significantly increased over time, deaths by self-poisoning significantly decreased, especially by means of psychotropic medication and opioids. To improve risk management, clinical efforts should focus on identifying and treating people with schizophrenia using specific substances. Nationwide initiatives for improving safety in prescribing could be contributing to reduced risks of suicide via self-poisoning in this group.

Integrating Electronic Health Records and Polygenic Risk to Identify Genetically Unrelated Comorbidities of Schizophrenia That May Be Modifiable

Background

Patients with schizophrenia have substantial comorbidity that contributes to reduced life expectancy of 10 to 20 years. Identifying modifiable comorbidities could improve rates of premature mortality. Conditions that frequently co-occur but lack shared genetic risk with schizophrenia are more likely to be products of treatment, behavior, or environmental factors and therefore are enriched for potentially modifiable associations.

Methods

Phenome-wide comorbidity was calculated from electronic health records of 250,000 patients across 2 independent health care institutions (Vanderbilt University Medical Center and Mass General Brigham); associations with schizophrenia polygenic risk scores were calculated across the same phenotypes in linked biobanks.

Results

Schizophrenia comorbidity was significantly correlated across institutions (r = 0.85), and the 77 identified comorbidities were consistent with prior literature. Overall, comorbidity and polygenic risk score associations were significantly correlated (r = 0.55, p = 1.29 × 10-118). However, directly testing for the absence of genetic effects identified 36 comorbidities that had significantly equivalent schizophrenia polygenic risk score distributions between cases and controls. This set included phenotypes known to be consequences of antipsychotic medications (e.g., movement disorders) or of the disease such as reduced hygiene (e.g., diseases of the nail), thereby validating the approach. It also highlighted phenotypes with less clear causal relationships and minimal genetic effects such as tobacco use disorder and diabetes.

Conclusions

This work demonstrates the consistency and robustness of electronic health record-based schizophrenia comorbidities across independent institutions and with the existing literature. It identifies known and novel comorbidities with an absence of shared genetic risk, indicating other causes that may be modifiable and where further study of causal pathways could improve outcomes for patients.

The association between area-level factors and mortality in severe mental illnesses: A systematic review

BACKGROUND

Premature mortality is a well-documented adverse outcome for people living with severe mental illnesses (SMI). Emerging evidence suggests that area-level factors play a role that are experienced disproportionately by this population. This review assesses the potential association between area-level factors and mortality in people with SMI.

METHOD

We searched Medline, EMBASE, PsychINFO, Social Policy and Practice, Web of Science and OpenGrey databases. Literature searches were conducted in May 2020 and updated in June 2023. Reference lists were hand-searched and authors of included studies contacted to identify additional studies and minimise publication biases. Narrative synthesis was used to appraise the included studies. The review protocol was registered on PROSPERO (CRD42019155447).

RESULTS

Our searches identified 7 studies (8 papers), which were included in the review, and indicated evidence of an association between deprivation and mortality. One study suggested an association between mortality in SMI and urbanicity in low to middle income settings which was not observed in studies from high income settings. One study suggested a protective association of area-level ethnic density with mortality within urbanised settings.

CONCLUSION

Consistent associations were reported between residence in areas of higher deprivation and increased risk of mortality in SMI. Two studies suggested an association between area-level ethnic density and urbanicity and mortality in SMI. Most studies were conducted across high income countries and therefore future research could benefit from similar investigations being conducted in low- and middle-income countries. These methods would inform health and social policies, including interventions to reduce premature mortality in SMI.

The Role of Socioeconomic Position in the Association Between Mental Disorders and Mortality: A Systematic Review and Meta-Analysis

Importance

Studies are lacking summarizing how the association between mental disorders and mortality varies by socioeconomic position (SEP), particularly considering different aspects of SEP, specific types of mental disorders, and causes of death.

Objective

To investigate the role of SEP in the association between mental disorders and mortality and the association between SEP and mortality among people with mental disorders.

Data Sources

MEDLINE, Embase, PsycINFO, and Web of Science were searched from January 1, 1980, through April 3, 2023, and a snowball search of reference and citation lists was conducted.

Study Selection

Inclusion criteria were observational studies estimating the associations between different types of mental disorders and mortality, stratified by SEP and between SEP and mortality in people with mental disorders.

Data Extraction and Synthesis

Pairs of reviewers independently extracted data using a predefined data extraction form and assessed the risk of bias using the adapted Newcastle-Ottawa scale. Graphical analyses of the dose-response associations and random-effects meta-analyses were performed. Heterogeneity was explored through meta-regressions and sensitivity analyses.

Main Outcomes and Measures

All-cause and cause-specific mortality.

Results

Of 28 274 articles screened, 71 including more than 4 million people with mental disorders met the inclusion criteria (most of which were conducted in high-income countries). The relative associations between mental disorders and mortality were similar across SEP levels. Among people with mental disorders, belonging to the highest rather than the lowest SEP group was associated with lower all-cause mortality (pooled relative risk [RR], 0.79; 95% CI, 0.73-0.86) and mortality from natural causes (RR, 0.73; 95% CI, 0.62-0.85) and higher mortality from external causes (RR, 1.18; 95% CI, 0.99-1.41). Heterogeneity was high (I2 = 83% to 99%). Results from subgroup, sensitivity, and meta-regression analyses were consistent with those from the main analyses. Evidence on absolute scales, specific diagnoses, and specific causes of death was scarce.

Conclusion and Relevance

This study did not find a sufficient body of evidence that SEP moderated the relative association between mental disorders and mortality, but the underlying mortality rates may differ by SEP group, despite having scarcely been reported. This information gap, together with our findings related to SEP and a possible differential risk between natural and external causes of death in individuals with specific types of mental disorders, warrants further research.

Alcohol use and suicide-related outcomes in people with a diagnosis of schizophrenia: a comprehensive systematic review and meta-analysis

Suicide is the leading cause of unnatural death among people with a diagnosis of schizophrenia. Alcohol use is a prevalent comorbid feature of schizophrenia and a modifiable risk factor for suicide. We conducted a prospectively registered (PROSPERO, CRD42022358214) systematic review and meta-analysis to quantify the relationship between alcohol use and suicide-related outcomes in schizophrenia.We searched Medline, Embase, and PsycINFO for cross-sectional, case-control and longitudinal studies using exhaustive terms from database inception to December 2022 inclusive. Computation of odds ratios (ORs) and hazard ratios (HRs) were performed using a random-effects model with DerSimonian-Laird estimation. We also evaluated publication bias, study quality, and performed subgroup analysis and meta-regression. Fifty studies, comprising 65 samples, met eligibility criteria. Overall, alcohol use was associated with suicide (OR 1.38, 95% CI 1.21-1.58; HR = 1.32, 95% CI 1.00-1.74), attempted suicide (OR 1.69, 95% CI 1.45-1.98), and suicidal ideation (OR 1.69, 95% CI 1.22-2.34). While there was no evidence of publication bias, between-sample heterogeneity was moderate in analyses of attempted suicide (I2 = 39.6%, p = 0.01) and suicidal ideation (I2 = 56.0%, p = 0.01). Summary effects were significant in all subgroups except for longitudinal studies of attempted suicide (OR 1.60, 95% CI 0.86-3.00) and studies of suicidal ideation using gender combined samples (OR 1.63, 95% CI 0.99-2.67). Alcohol use is significantly associated with suicide-related outcomes in schizophrenia. Clinicians should routinely inquire about alcohol use in mental health services to focus preventative treatment efforts.

Incidence, prevalence, and mortality of schizophrenia from 2016 to 2020 in Shandong, China

The epidemiology of schizophrenia has been reported in many countries. However, due to the limitations of those studies, the findings cannot be generalized to other parts of the world, especially in China. In this study, the incidence, prevalence, and mortality of schizophrenia in Shandong, China were calculated using data from the National Severe Mental Disorder Registration System collected between 2016 and 2020 and census data from 2010 to 2020. The overall incidence decreased from 9.61 per 100,000 in 2016 to 4.40 per 100,000 in 2020, the aggregate prevalence was approximately 3.20 per 1000, and the overall mortality ranged from 6.17 per 100,000 to 7.71 per 100,000. The evidence from this study indicated that the incidence, prevalence, and mortality of schizophrenia were higher in rural areas than in urban areas. Females had higher incidence, prevalence, and mortality than males. This study provided epidemiological information on schizophrenia and opened avenues for future research.

Life expectancy and years of potential life lost in people with mental disorders: a systematic review and meta-analysis

Background

Mental disorders are associated with premature mortality. There is increasing research examining life expectancy and years-of-potential-life-lost (YPLL) to quantify the disease impact on survival in people with mental disorders. We aimed to systematically synthesize studies to estimate life expectancy and YPLL in people with any and specific mental disorders across a broad spectrum of diagnoses.

Methods

In this systematic review and meta-analysis, we searched Embase, MEDLINE, PsychINFO, WOS from inception to July 31, 2023, for published studies reporting life expectancy and/or YPLL for mental disorders. Criteria for study inclusion were: patients of all ages with any mental disorders; reported data on life expectancy and/or YPLL of a mental-disorder cohort relative to the general population or a comparison group without mental disorders; and cohort studies. We excluded non-cohort studies, publications containing non-peer-reviewed data or those restricted to population subgroups. Survival estimates, i.e., life expectancy and YPLL, were pooled (based on summary data extracted from the included studies) using random-effects models. Subgroup analyses and random-effects meta-regression analyses were performed to explore sources of heterogeneity. Risk-of-bias assessment was evaluated using the Newcastle-Ottawa Scale. This study is registered with PROSPERO (CRD42022321190).

Findings

Of 35,865 studies identified in our research, 109 studies from 24 countries or regions including 12,171,909 patients with mental disorders were eligible for analysis (54 for life expectancy and 109 for YPLL). Pooled life expectancy for mental disorders was 63.85 years (95% CI 62.63-65.06; I2 = 100.0%), and pooled YPLL was 14.66 years (95% CI 13.88-15.98; I2 = 100.0%). Disorder-stratified analyses revealed that substance-use disorders had the shortest life expectancy (57.07 years [95% CI 54.47-59.67]), while neurotic disorders had the longest lifespan (69.51 years [95% CI 67.26-71.76]). Substance-use disorders exhibited the greatest YPLL (20.38 years [95% CI 18.65-22.11]), followed by eating disorders (16.64 years [95% CI 7.45-25.82]), schizophrenia-spectrum disorders (15.37 years [95% CI 14.18-16.55]), and personality disorders (15.35 years [95% CI 12.80-17.89]). YPLLs attributable to natural and unnatural deaths in mental disorders were 4.38 years (95% CI 3.15-5.61) and 8.11 years (95% CI 6.10-10.13; suicide: 8.31 years [95% CI 6.43-10.19]), respectively. Stratified analyses by study period suggested that the longevity gap persisted over time. Significant cross-study heterogeneity was observed.

Interpretation

Mental disorders are associated with substantially reduced life expectancy, which is transdiagnostic in nature, encompassing a wide range of diagnoses. Implementation of comprehensive and multilevel intervention approaches is urgently needed to rectify lifespan inequalities for people with mental disorders.

Funding

None.

Life years lost for users of specialized mental healthcare

BACKGROUND

Mental disorders are burdensome and are associated with increased mortality. Mortality has been researched for various mental disorders, especially in countries with national registries, including the Nordic countries. Yet, knowledge gaps exist around national differences, while also relatively less studies compare mortality of those seeking help for mental disorders in specialized mental healthcare (SMH) by diagnosis. Additional insight into such mortality distributions for SMH users would be beneficial for both policy and research purposes. We aim to describe and compare the mortality in a population of SMH users with the mortality of the general population. Additionally, we aim to investigate mortality differences between sexes and major diagnosis categories: anxiety, depression, schizophrenia spectrum and other psychotic disorders, and bipolar disorder.

METHODS

Mortality and basic demographics were available for a population of N = 10,914 SMH users in the north of The Netherlands from 2010 until 2017. To estimate mortality over the adult lifespan, parametric Gompertz distributions were fitted on observed mortality using interval regression. Life years lost were computed by calculating the difference between integrals of the survival functions for the general population and the study sample, thus correcting for age. Survival for the general population was obtained from Statistics Netherlands (CBS).

RESULTS

SMH users were estimated to lose 9.5 life years (95% CI: 9.4-9.6). Every major diagnosis category was associated with a significant loss of life years, ranging from 7.2 (95% CI: 6.4-7.9) years for anxiety patients to 11.7 (95% CI: 11.0-12.5) years for bipolar disorder patients. Significant differences in mortality were observed between male SMH users and female SMH users, with men losing relatively more life years: 11.0 (95% CI: 10.9-11.2) versus 8.3 (95% CI: 8.2-8.4) respectively. This difference was also observed between sexes within every diagnosis, although the difference was insignificant for bipolar disorder.

CONCLUSION

There were significant differences in mortality between SMH users and the general population. Substantial differences were observed between sexes and between diagnoses. Additional attention is required, and possibly specific interventions are needed to reduce the amount of life years lost by SMH users.

Association between neighborhood deprivation and mortality in patients with schizophrenia and bipolar disorder-A nationwide follow-up study

OBJECTIVES

The aim was to explore the association between neighborhood deprivation and all-cause mortality and cause-specific mortalities in patients with schizophrenia and bipolar disorder. A better understanding of this potential relationship may help to identify patients with schizophrenia and bipolar disorder with an increased mortality risk.

METHODS

This nationwide study included practically all adults (≥30 years) diagnosed with schizophrenia (n = 34,544) and bipolar disorder (n = 64,035) in Sweden (1997-2017). The association between neighborhood deprivation and mortality was explored using Cox regression. All models were conducted in both men and women and adjusted for individual-level sociodemographic factors and comorbidities.

RESULTS

There was an association between level of neighborhood deprivation and all-cause mortality in both groups. The adjusted hazard ratios for all-cause mortality associated with high compared to low neighborhood deprivation were 1.18 (95% confidence interval 1.11-1.25) in patients with schizophrenia and 1.33 (1.26-1.41) in patients with bipolar disorder. The two most common mortality causes in both groups were coronary heart disease and cancer. The mortality due to coronary heart disease increased when neighborhood deprivation increased and reached 1.37 (1.18-1.60) in patients with schizophrenia and 1.70 (1.44-2.01) in patients with bipolar disorder living in the most deprived neighborhoods.

CONCLUSIONS

This study shows that neighborhood deprivation is an important risk factor for all-cause mortality and most cause-specific mortalities among patients with schizophrenia and bipolar disorder. These findings could serve as aid to policymakers when allocating healthcare resources and to clinicians who encounter patients with these conditions in deprived neighborhoods.

Identifying modifiable comorbidities of schizophrenia by integrating electronic health records and polygenic risk

Patients with schizophrenia have substantial comorbidity contributing to reduced life expectancy of 10-20 years. Identifying which comorbidities might be modifiable could improve rates of premature mortality in this population. We hypothesize that conditions that frequently co-occur but lack shared genetic risk with schizophrenia are more likely to be products of treatment, behavior, or environmental factors and therefore potentially modifiable. To test this hypothesis, we calculated phenome-wide comorbidity from electronic health records (EHR) in 250,000 patients in each of two independent health care institutions (Vanderbilt University Medical Center and Mass General Brigham) and association with schizophrenia polygenic risk scores (PRS) across the same phenotypes (phecodes) in linked biobanks. Comorbidity with schizophrenia was significantly correlated across institutions (r = 0.85) and consistent with prior literature. After multiple test correction, there were 77 significant phecodes comorbid with schizophrenia. Overall, comorbidity and PRS association were highly correlated (r = 0.55, p = 1.29×10-118), however, 36 of the EHR identified comorbidities had significantly equivalent schizophrenia PRS distributions between cases and controls. Fifteen of these lacked any PRS association and were enriched for phenotypes known to be side effects of antipsychotic medications (e.g., "movement disorders", "convulsions", "tachycardia") or other schizophrenia related factors such as from smoking ("bronchitis") or reduced hygiene (e.g., "diseases of the nail") highlighting the validity of this approach. Other phenotypes implicated by this approach where the contribution from shared common genetic risk with schizophrenia was minimal included tobacco use disorder, diabetes, and dementia. This work demonstrates the consistency and robustness of EHR-based schizophrenia comorbidities across independent institutions and with the existing literature. It identifies comorbidities with an absence of shared genetic risk indicating other causes that might be more modifiable and where further study of causal pathways could improve outcomes for patients.

Mortality and excess life-years lost in patients with schizophrenia under community care: a 5-year follow-up cohort study

OBJECTIVE

Mortality rate is a general indicator which can be used to measure care and management of schizophrenia. This cohort study evaluated the standardized mortality ratios (SMRs) of all-cause mortality and life-years lost (LYLs) in patients with schizophrenia under a community care program in China.

METHODS

Data were obtained from the National Community Care Program System for Severe Mental Disorders. A total of 99,214 patients diagnosed with schizophrenia were enrolled before December 2014 and followed between 2015 and 2019. A total of 9,483 patients died. Crude mortality rates (CMRs) and SMRs were then stratified by natural vs. unnatural causes, and major groups of death were standardized according to the 2010 National Population SMRs. The corresponding LYLs at birth were also calculated by gender and age.

RESULTS

The SMRs of patients with schizophrenia were significantly elevated during the study period, with an overall SMR of 4.98 (95%CI 2.67-7.32). Neoplasms, cardiovascular diseases, cerebrovascular diseases, external injuries, and poisonings were the most significant causes of death among patients with schizophrenia compared to the general population. The mean LYLs of patients with schizophrenia were 15.28 (95%CI 13.26-17.30). Males with schizophrenia lost 15.82 life-years (95%CI 13.48-18.16), and females lost 14.59 life-years (95%CI 13.12-16.06).

CONCLUSIONS

Patients with schizophrenia under community care had a high mortality rate in our study, even though mental health services have been integrated into the general healthcare system in China to narrow treatment gaps in mental health for > 10 years. In terms of mortality outcome indicators, effective and quality mental health services still have a long way to go. The current study demonstrates the potential for improved prevention and treatment of individuals with schizophrenia under community care.

Association between mental disorders and mortality: A register-based cohort study from the region of Catalonia

We estimated all-cause and cause-specific mortality associated with mental disorder diagnoses using outpatient and inpatient registers from Catalonia. A historical register-based cohort was used, including 516,944 adults diagnosed with psychotic, mood, or anxiety disorders in 2005-2016, and their matched controls. Six psychiatric groups were created using hierarchical rules. Mortality rate ratios (MRRs), calculated with stratified Cox proportional-hazards models adjusted for mental comorbidity, ranged from 2.45 (95%CI = 2.28-2.64) for other non-organic psychoses to 1.11 (95%CI = 1.08-1.15) for anxiety disorders. Higher MRRs were found in males compared to females with non-organic psychoses, other affective and anxiety disorders, and the excess risk of death was higher in younger ages for all the diagnoses except for schizophrenia. Overall, suicide mortality rates were higher for those with mental disorder diagnoses. The highest MRRs due to natural causes were found for metabolic disorders in schizophrenia, infectious diseases in other non-organic psychoses, and respiratory diseases for bipolar, other affective and anxiety disorders. In the most comprehensive study in Southern Europe, excess mortality is observed not only in people with diagnoses of severe mental disorders, but also in those with other mental disorder diagnoses considered less severe, with an important contribution of both natural and unnatural causes.

Breast Cancer Care Pathways for Women with Preexisting Severe Mental Disorders: Evidence of Disparities in France?

The excess cancer mortality in persons with severe mental illness (SMI) has been well documented, and research suggests that it may be influenced by care-related factors. Our objective was to assess breast cancer care pathways in women with SMI in France, using an exhaustive population-based data-linkage study with a matched case-control design. The cases were 1346 women with incident breast cancer in 2013/2014 and preexisting SMI who were matched with three controls without SMI presenting similar demographics, initial breast cancer type, and year of incidence. We compared cancer care pathways and their quality for cases and controls, using a consensual set of indicators covering diagnosis, treatment, follow-up, and mortality (until 2017). After adjusting for covariates, cases had lower odds to undergo the main diagnostic tests, lumpectomy, adjuvant chemotherapy, and radiotherapy, as well as hormone therapy, but higher odds for mastectomy. Suboptimal quality in cancer pathways was observed for both groups, but to a higher extent for cases, especially for not receiving timely care after diagnosis and post-treatment follow-up. Breast cancer mortality, considering competing risks of deaths, was significantly elevated in women with SMI. These findings highlight disparities in cancer care pathways for individuals with SMI, as well as specific aspects of the care continuum which could benefit from targeted actions to reach equity of outcomes.

Excess mortality in a cohort of Brazilian patients with a median follow-up of 11 years after the first psychiatric hospital admission

PURPOSE

To estimate the mortality rates of a cohort of Brazilian patients after their first psychiatric admission and determine the possible risk factors associated with excess mortality.

METHODS

The study included a cohort of psychiatric patients hospitalised from Jan 1, 2002 to Dec 31, 2007 in the catchment area of Ribeirão Preto, São Paulo state, Brazil. Data were linked to deaths that occurred between Jan 1, 2002 and Dec 31, 2016 from the SEADE Foundation (state data analysis system of São Paulo). The mortality rate (MR), age-sex-standardised mortality ratio (SMR), life expectancy at birth, and years of life lost (YLL) were computed. The factors associated with mortality were analysed by survival analysis using a Cox proportional hazards regression model.

RESULTS

Of 4019 patients admitted (54.76% male), 803 died (69.74% male) during the follow-up (median = 11.25 years). Mortality rates were approximately three-fold higher than expected (SMR = 2.90, 95% CI 2.71-3.11). The highest mortality rate was noted in men with alcohol-related disorders (SMR = 5.50, 95% CI 4.87-6.19). Male sex (adjusted hazard ratio (aHR) = 1.62, 95% CI 1.37-1.92), higher age (aHR = 21.47, 95% CI 13.48-34.17), and unemployment (aHR = 1.22, 95% CI 1.05-1.43) significantly increased the mortality risk from all causes. The average YLL was 27.64 years with the highest YLL noted in nonalcohol substance-related disorders (39.22 years). The life expectancy at birth in this cohort was 47.27 years. Unnatural causes of death were associated with nonwhite skin colour and substance-related disorders.

CONCLUSION

An excess of mortality and a significant reduction in life expectancy of mentally disordered patients who were first admitted to psychiatric beds was noted, particularly patients admitted for substance-related disorders, which should represent a priority in mental health policies.

Hängen die Stundenkontingente für ambulante Psychotherapie zur Behandlung von Depressionen mit deren Schweregrad zusammen?

Fragestellung

Vor dem Hintergrund der Debatte um eine mögliche Festlegung des Leistungsumfangs für ambulante Psychotherapie anhand der Diagnose haben wir untersucht, ob in der aktuellen Versorgungspraxis bei Patienten mit Depressionen die Anzahl der beantragten sowie die der vom Gutachter befürworteten Stunden mit dem Schweregrad der Erkrankung zusammenhängen.

Methode

Aus einer Zufallsstichprobe von 1000 Anträgen auf Kostenübernahme für ambulante analytische oder tiefenpsychologisch fundierte Psychotherapie wurden jene herausgesucht, in denen eine Depressionsdiagnose mit Schweregradeinschätzung (ICD-10 F32 oder F33) entweder im Bericht oder auf dem Antragsformular kodiert worden war. Die Zahl der beantragten und der befürworteten Stunden pro Antrag wurde extrahiert. Bei Umwandlungs- und Fortführungsanträgen wurden dabei auch die im Vorfeld stattgefundenen Therapiestunden berücksichtigt. Ein möglicher Zusammenhang des Schweregrads der Depression mit der Zahl der beantragten bzw. der vom Gutachter befürworteten Stunden wurde anhand von Spearman-Rangkorrelationen überprüft.

Ergebnisse

Insgesamt 521 Anträge (52 %) enthielten eine F32- und/oder eine F33-Diagnose. Davon waren 63 (12 %) als leicht kodiert, 349 (67 %) als mittelgradig und 50 (10 %) als schwer.

Im Median wurden 75 h bei leichter sowie je 50 h bei mittelgradiger bzw. bei schwerer Depression beantragt, wobei die Zahlen innerhalb der Gruppen stark variierten (10 bis 327 h) und der Zusammenhang zwischen Schweregrad und beantragter Stundenzahl gering war (Rho −0,10).

Die befürworteten Stundenkontingente waren im Median 74 (leichte Depression), 50 (mittelgradig) und 50 (schwer) Stunden, auch hier war die Spannweite hoch (0 bis 327 h) und die Korrelation gering (Rho −0,11).

Diskussion

Es gibt keine Anhaltspunkte dafür, dass Psychotherapeuten die benötigten Stundenkontingente allein anhand des Schweregrads der Diagnose festlegen.

Elevated risk of liver steatosis in first-episode psychosis patients: Results from a 3-year prospective study

BACKGROUND

Cardiometabolic disorders are largely responsible for excess mortality in schizophrenia. Non-alcoholic fatty liver disease (NAFLD) is increasingly relevant in the development of metabolic risk factors that have been associated with antipsychotic treatment. We aimed to assess the incidence of NAFLD and metabolic disturbances during the first 3 years of antipsychotic treatment in patients with first episode of psychosis (FEP), and compare it with the incidence in a control group.

METHODS

Data were obtained from patients with psychosis (n = 160) and healthy controls (n = 66) included in the Cantabria's clinical and research program on FEP (PAFIP) from 2012 to 2018. Fatty Liver Index (FLI) was used to estimate the amount of fat in the liver. FLI has been validated for the diagnosis of NAFLD against different standards such as liver ultrasound and biopsy. FLI and metabolic parameters were registered at baseline, 3 months and then yearly for 3 years.

RESULTS

At the end of the follow-up (3-years), 21.9 % of patients with psychosis developed a FLI ≥ 60, suggestive of liver steatosis, compared to only a 3 % of subjects within the control group (X² = 12.120; p < 0.001). In the FEP patients group, developing a FLI ≥ 60 was statistically associated with significant increments in metabolic parameters, and with Metabolic Syndrome (MetS) (X² = 16.151; p < 0.001) and high blood pressure (X² = 10.654; p = 0.001).

CONCLUSIONS

Having a first episode of non-affective psychosis was significantly associated with developing liver steatosis (FLI ≥ 60) in the first three years after initiating antipsychotic treatment. The results highlight the importance of early screening the emergence of NAFLD in schizophrenia patients.

Pre-existing chronic physical morbidity and excess mortality in people with schizophrenia: a population-based cohort study

PURPOSE

Schizophrenia is associated with increased premature mortality and physical morbidity. This study aimed to examine prevalence of pre-existing chronic physical diseases, and association between physical multimorbidity burden and mortality rates among patients with newly diagnosed schizophrenia.

METHODS

This population-based cohort study investigated patients with first-recorded diagnosis of schizophrenia between January 2006 and December 2016, using territory-wide medical-record database of public healthcare service in Hong Kong. Physical morbidities were measured by Charlson Comorbidity Index (CCI), taking into consideration both number and severity of physical diseases, and were grouped into nine broad disease categories for analyses. Physical multimorbidity burden was stratified into three levels according to CCI of 0, 1 or ≥ 2. Cox proportional hazards regression models were used to examine associations of physical multimorbidity with mortality rates.

RESULTS

Of the 13,945 patients, 8.6% (n = 1207) had pre-existing physical morbidity. Patients with physical morbidity exhibited elevated all-cause mortality rate relative to those without physical morbidity [adjusted HR 2.38 (95% CI 2.04-2.77)]. Gastrointestinal/liver diseases, diabetes and cardiovascular diseases constituted the three most frequently diagnosed physical morbidities, whereas cancers displayed the highest all-cause mortality rate. An increase in physical multimorbidity burden was associated with increased all-cause mortality rate [CCI = 1: 1.98 (1.64-2.40); CCI ≥ 2: 3.08 (2.51-3.77), CCI = 0 as reference].

CONCLUSION

Schizophrenia patients with pre-existing physical morbidity had two-fold increased risk of premature mortality compared to those without physical morbidity. Physical multimorbidity confers incremental impact on excess mortality. Early detection and intervention of physical morbidity in the initial phase of schizophrenia is necessary to reduce avoidable mortality.

Schizophrenia and Hospital Admissions for Cardiovascular Events in a Large Population: The APNA Study

(1) Background: Patients with schizophrenia have higher mortality, with cardiovascular diseases being the first cause of mortality. This study aims to estimate the excess risk of hospital admission for cardiovascular events in schizophrenic patients, adjusting for comorbidity and risk factors. (2) Methods: The APNA study is a dynamic prospective cohort of all residents in Navarra, Spain. A total of 505,889 people over 18 years old were followed for five years. The endpoint was hospital admissions for a cardiovascular event. Direct Acyclic Graphs (DAG) and Cox regression were used. (3) Results: Schizophrenic patients had a Hazard Ratio (HR) of 1.414 (95% CI 1.031–1.938) of hospital admission for a cardiovascular event after adjusting for age, sex, hypertension, type 2 diabetes, dyslipidemia, smoking, low income, obesity, antecedents of cardiovascular disease, and smoking. In non-adherent to antipsychotic treatment schizophrenia patients, the HR was 2.232 (95% CI 1.267–3.933). (4) Conclusions: Patients with schizophrenia have a higher risk of hospital admission for cardiovascular events than persons with the same risk factors without schizophrenia. Primary care nursing interventions should monitor these patients and reduce cardiovascular risk factors.