Network analysis on psychopathological symptoms, psychological measures, quality of life and COVID-19 related factors in Chinese psychiatric patients in Hong Kong.

BACKGROUND: Psychiatric patients are susceptible to adverse mental health impacts during COVID-19, but complex interplays between psychopathology and pandemic-related variables remain elusive. This study aimed to investigate concomitant associations between psychopathological symptoms, psychological measures and COVID-19 related variables in Chinese psychiatric patients during the peak of fifth pandemic wave in Hong Kong. METHODS: We employed network analysis to investigate inter-relationships among psychopathological symptoms (including depression, anxiety, post-traumatic stress disorder-like [PTSD-like] symptoms, insomnia, psychotic symptoms), cognitive complaints, health-related quality of life, loneliness, resilience and selected pandemic-related factors in 415 psychiatric outpatients between 28 March and 8 April, 2022. Network comparisons between genders, diagnosis (common mental disorders [CMD] vs. severe mental disorders [SMD]), and history of contracting COVID-19 at fifth wave were performed as exploratory analyses. RESULTS: Our results showed that anxiety represented the most central node in the network, as indicated by its highest node strength and expected influence, followed by depression and quality of life. Three comparatively strong connections between COVID-19 and psychopathological variables were observed including: fear of contagion and PTSD-like symptoms, COVID-19 stressor burden and PTSD-like symptoms, and COVID-19 stressor burden and insomnia. Network comparison tests revealed significant network structural difference between participants with history of contracting COVID-19 and those without, but showed no significant difference between genders as well as between CMD and SMD patients. CONCLUSIONS: Our findings suggest the pivotal role of anxiety in psychopathology network of psychiatric patients amidst COVID-19. Pandemic-related variables are critically associated with trauma/stress and insomnia symptoms. Future research is required to elucidate potential network structural changes between pandemic and post-COVID periods.

The risk of stroke and post-stroke mortality in people with schizophrenia: A systematic review and meta-analysis study.

Sources of heterogeneity in risk of stroke and mortality risk following acute-stroke in schizophrenia are understudied. We systematically searched four electronic-databases until 1-November-2022, and conducted meta-analysis to synthesize estimates of stroke-risk and post-stroke mortality for schizophrenia patients relative to non-schizophrenia counterparts. Subgroup-analyses and meta-regression models stratified by sex, nature of sample (incident/prevalent), geographical region, study-period and time-frame following stroke were conducted when applicable. Fifteen and 5 studies were included for meta-analysis of stroke-risk (n=18,368,253; 129,095 schizophrenia patients) and all-cause post-stroke mortality (n=289,231; 4,477 schizophrenia patients), respectively. Schizophrenia patients exhibited elevated stroke-risk (relative-risk =1.55[95% CI:1.31-1.84]) relative to non-schizophrenia controls. Schizophrenia was associated with increased stroke-risk in both sexes, study-periods of 1990s and 2000s, and irrespective of nature of sample and geographical regions. Meta-regression revealed regional differences in relative-risk for stroke, but limited by small number of studies. After removal of an outlier study, meta-analysis demonstrated that schizophrenia was associated with increased overall (hazard-ratio=1.37[1.30-1.44]), short-term (≤90 days; 1.29[1.14-1.46]) and longer-term (≥1 year; 1.45[1.32-1.60]) post-stroke mortality rates. Raised post-stroke mortality rate for schizophrenia was observed irrespective of nature of sample, geographical regions and study-periods. Taken together, schizophrenia is associated with increased stroke-risk and post-stroke mortality. Multilevel-interventions are required to reduce these physical-health disparities.

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.

Prevalence and correlates of subjective cognitive impairment in Chinese psychiatric patients during the fifth wave of COVID-19 in Hong Kong.

Introduction: The extent of cognitive impairment and its association with psychological distress among people with pre-existing mental illness during COVID-19 is understudied. This study aimed to investigate prevalence and correlates of subjective cognitive impairment (SCI) in Chinese psychiatric patients during fifth-wave of COVID-19 in Hong Kong (HK). Methods: Four-hundred-eight psychiatric outpatients aged 18-64 years were assessed with questionnaires between 28 March and 8 April 2022, encompassing illness profile, psychopathological symptoms, coping-styles, resilience, and COVID-19 related factors. Participants were categorized into moderate-to-severe and intact/mild cognitive impairment (CI+ vs. CI-) groups based on severity of self-reported cognitive complaints. Univariate and multivariate regression analyses were conducted to determine variables associated with CI+ status. Results: One-hundred-ninety-nine participants (48.8%) experienced CI+. A multivariate model on psychopathological symptoms found that depressive and post-traumatic-stress-disorder (PTSD)-like symptoms were related to CI+, while a multivariate model on coping, resilience and COVID-19 related factors revealed that avoidant coping, low resilience and more stressors were associated with CI+. Final combined model demonstrated the best model performance and showed that more severe depressive and PTSD-like symptoms, and adoption of avoidant coping were significantly associated with CI+. Conclusion: Almost half of the sample of psychiatric patients reported cognitive complaints during fifth-wave of COVID-19 in HK. Greater depressive and PTSD-like symptom severity, and maladaptive (avoidant) coping were found as correlates of SCI. COVID-19 related factors were not independently associated with SCI in psychiatric patients. Early detection with targeted psychological interventions may therefore reduce psychological distress, and hence self-perceived cognitive difficulties in this vulnerable population.

The prevalence and correlates of suicidal ideation in Chinese psychiatric patients during the fifth wave of COVID-19 in Hong Kong.

People with mental disorders have increased risk of psychological distress during COVID-19. However, there is limited research comprehensively examining factors associated with suicidal ideation, the strongest predictor of suicidal behavior, among psychiatric patients amidst pandemic. We investigated prevalence and correlates of suicidal ideation in 407 Chinese psychiatric outpatients (diagnosed with mood, anxiety or schizophrenia-spectrum disorders) aged 18-64 years during the peak of fifth COVID-19 wave in Hong Kong between 28 March and 8 April, 2022, based on a comprehensive array of variables encompassing socio-demographics, illness profile, psychopathological symptoms, psychological measures and pandemic-related factors. Univariate and multivariate logistic regression analyses were conducted to determine correlates of suicidal ideation. Results showed that 128 (31.4%) participants exhibited suicidal ideation. Univariate analyses revealed that being unemployed or full-time student, more severe depressive, anxiety, PTSD-like, insomnia and psychotic symptoms, higher levels of loneliness, avoidant-coping, greater pandemic-related stress burden and distress by social-distancing measures were related to suicidal ideation. Conversely, participants with higher monthly household-income, better quality-of-life, and greater resilience were less likely to have suicidal ideation. Notably, only depressive symptom severity was retained in final multivariate model as a factor significantly associated with suicidal ideation. Hence, we observed that approximately one-third of Chinese psychiatric patients experienced suicidal ideation during fifth pandemic wave. Our findings underscore the influence of depressive symptoms being above and beyond that of other psychopathological symptoms, psychological and pandemic-related variables on suicidal ideation. Longitudinal research is required to clarify suicidal ideation trajectories and predictors of persistent suicidal ideation across pandemic and post-pandemic periods.

COVID-19 perseverative cognition and depressive symptoms in Hong Kong: The moderating role of resilience, loneliness and coping strategies.

BACKGROUND: The COVID-19 pandemic significantly increased depression prevalence in general population. However, the relationship between persistent dysfunctional thinking associated with COVID-19 (perseverative-cognition) and depression, and its potential moderators are understudied. We aimed to examine the association between COVID-19 perseverative-cognition and depression, and the moderating effect of potential risk and protective factors on this association in general public during the peak of fifth COVID-19 wave in Hong Kong. METHODS: This survey recruited 14,269 community-dwelling adults between March 15-April 3, 2022 to investigate association between COVID-19 perseverative-cognition and depression, and the moderating effect of resilience, loneliness and three coping strategies (including emotion-focused, problem-focused and avoidant coping) on this association, using hierarchical regression models and simple slope analyses. COVID-19 perseverative cognition was assessed by the Obsession with COVID-19 Scale (OCS) and depressive symptoms were measured by the Patient Health Questionnaire-9 (PHQ-9). RESULTS: Perseverative-cognition was positively associated with depression severity. Resilience, loneliness and three coping strategies moderated the association between perseverative-cognition and depression. Specifically, greater resilience and emotion-focused coping ameliorated the association between perseverative-cognition and depression, while higher levels of loneliness, avoidant and problem-focused coping accentuated such association. LIMITATIONS: Cross-sectional design precluded establishing causality among variables. CONCLUSION: This study affirms that COVID-19 perseverative-cognition is significantly related to depression. Our findings indicate the potential critical role of enhanced personal resilience and social support, and adoption of emotion-focused coping in mitigating negative effect of COVID-19 related maladaptive thinking on depression severity, thereby facilitating development of targeted strategies to reduce psychological distress amidst the prolonged pandemic.

Antidepressant utilization patterns and predictors of treatment continuation in pregnant women: A 16-year population-based cohort.

OBJECTIVE: Existing data on prenatal antidepressant prescribing patterns are mostly derived from Western countries, with limited research assessing antidepressant continuation and reinitiation during pregnancy. This study aimed to examine antidepressant prescribing practice among Chinese pregnant women in Hong Kong. METHODS: This population-based study identified women aged 15-50 years who delivered their first and singleton child, and had redeemed at least one antidepressant prescription within 3 months pre-pregnancy and/or during pregnancy between 2003 and 2018, using data from the health-record database of Hong Kong public healthcare services. Antidepressant utilization patterns before and during pregnancy, and factors associated with antidepressant continuation and reinitiation following medication discontinuation were evaluated. RESULTS: Of 466,358 pregnancies, 3019 (0.67%) received antidepressants within 3 months of pre-pregnancy and/or during pregnancy, and 2700 (0.58%) had prenatal antidepressant use. There was a significant rising trend of prenatal antidepressant use over time (0.6% in 2003 to 1.3% in 2018; odds ratio: 1.09, 95% confidence interval = [1.08, 1.10], p < 0.001). A consistent pattern of decreasing overall antidepressant use from 3 months pre-pregnancy to the second trimester was observed, followed by a slight increase in the third trimester. Almost half (n = 949, 49.5%) of 1918 women on antidepressants in 3 months pre-pregnancy continued treatment beyond the first trimester. A total of 8.2% that discontinued antidepressants in 3 months pre-pregnancy or in the first trimester reinitiated treatment in the later stage of pregnancy. Older age at conception (⩾35 years), recent calendar year of delivery (2015-2018), pre-existing depression/anxiety disorders, longer-term pre-pregnancy antidepressant treatment and pre-pregnancy prescription of other psychotropics were significantly associated with antidepressant continuation. Antidepressant reinitiation was predicted by pre-existing depression/anxiety disorders. CONCLUSIONS: Our results that prenatal antidepressant use is increasingly prevalent and half of pregnant women discontinued antidepressants 3 months before or after conception underscore the need for future research to clarify the risk and benefit of antidepressant continuation versus discontinuation to facilitate development of evidence-based guidelines, so as to optimize maternal and fetal outcomes.

Antipsychotic utilization patterns in pregnant women with psychotic disorders: a 16-year population-based cohort study.

Despite growing concern about reproductive safety of antipsychotics, there is a paucity of research specifically assessing prenatal antipsychotic prescribing practices for psychotic disorders. This population-based cohort study identified women aged 15-50 years with diagnosis of psychotic disorders, who delivered their first and singleton child between 2003-2018 in Hong Kong, with an aim to examine temporal trends and predictors of prenatal antipsychotic use as well as antipsychotic utilization patterns before and during pregnancy. Data were retrieved from territory-wide medical-record database of public healthcare services. Of 804 women, 519 (65%) redeemed at least one prescription for antipsychotics during pregnancy. Older age at conception (25-34 years: OR 2.12 [95% CI 1.22-3.67]; 35-50 years: 2.52 [1.38-4.61]; 15-24 years as reference category) and antipsychotic treatment within 12 months pre-pregnancy (24.22 [16.23-36.16]) were significantly associated with prenatal antipsychotic use. Second-generation-antipsychotic (SGA) use during pregnancy increased over 16-year study period, while prenatal first-generation-antipsychotic (FGA) use showed declining trend. Overall antipsychotic and SGA use progressively decreased across pre-pregnancy and trimesters of pregnancy. Further analyses on antipsychotic use trajectories revealed that 87.4% (n = 459) of 529 women receiving antipsychotics in 12-month pre-pregnancy redeemed antipsychotic prescription during pregnancy, and 63.4% (n = 333) continued antipsychotic treatment throughout pregnancy. Only 7.5% of the cohort (n = 60) commenced antipsychotics in pregnancy. This is one of the few studies evaluating real-world prenatal antipsychotic utilization among women with psychotic disorders. Future research delineating risk conferred by illness-related factors and antipsychotic exposure on adverse maternal and fetal outcomes is warranted to facilitate treatment guideline development.

Mortality rates in people with first diagnosis of schizophrenia-spectrum disorders: A 5-year population-based cohort study.

OBJECTIVE: Schizophrenia-spectrum disorder (SSD) is associated with increased premature death, with emerging data suggesting early illness course as a high-risk period for excess mortality. This study aimed to examine mortality rate in patients with incident SSD and differential mortality risk between inpatient-diagnosed and outpatient-diagnosed subsamples within 5 years of first diagnosis. METHOD: This population-based cohort study identified 8826 patients aged 18-39 years receiving first-recorded SSD diagnosis upon service entry, comprising 3877 inpatient-diagnosed and 4949 outpatient-diagnosed patients, between 2006 and 2012 in Hong Kong using a territory-wide medical record database of public health care services. All-cause, natural-cause, and unnatural-cause mortality risks within 5 years after first diagnosis were quantified by standardized mortality ratios (SMRs) relative to the general population. We also directly compared mortality rates between inpatient and outpatient subsamples over 5-year follow-up. RESULTS: SSD patients exhibited markedly elevated all-cause (SMR: 12.28, 95% confidence interval [CI]: [10.83, 13.88]), natural-cause (SMR: 3.76, 95% CI: [2.77, 4.98]) and unnatural-cause (SMR: 20.64, 95% CI: [17.49, 24.20]) mortality during first 5 years of diagnosis. Increased mortality rate was most pronounced in the first year of treatment, especially for unnatural deaths (SMR 32.2, 95% CI: [24.08, 42.22]). Discharged inpatient-diagnosed patients displayed significantly higher all-cause and unnatural-cause mortality rates than outpatient-diagnosed counterparts within first 3 years of treatment, and differential mortality risks on all-cause (adjusted hazard ratio [aHR]: 7.05, 95% CI: [2.02, 24.64]) and unnatural-cause (aHR: 5.15, 95% CI: [1.38, 19.19]) deaths were the highest in the first month of follow-up. CONCLUSIONS: Substantial increase in early mortality risk among people with incident SSD, particularly in the first year of diagnosis and the time shortly after discharge, underscores an urgent need of targeted early intervention for effective suicide prevention and physical health improvement to minimize mortality gap.

Prevalence and correlates of suicidal ideation in the general public during the fifth wave of COVID-19 pandemic in Hong Kong.

Introduction: Literature reveals increased suicidal ideation in the general population during pandemic. However, few COVID-19 studies comprehensively assessed factors associated with suicidal ideation, and mixed findings were observed. We aimed to examine prevalence and correlates of suicidal ideation in general public during the peak of fifth COVID-19 wave in Hong Kong based on a broad array of relevant measures. Methods: This survey assessed 14,709 community-dwelling adults during March 15-April 3, 2022. Comprehensive assessment was administered including socio-demographics, pre-existing mental/physical morbidity, mental-health symptoms, resilience, loneliness, coping strategies, and pandemic-related factors. Presence of suicidal ideation was evaluated by ratings of item 9 on Patient-Health-Questionnaire-9. Results: A total of 2,249 (15.3%) participants exhibited suicidal ideation. Multivariable-regression analysis found that being single and unemployed, pre-existing mental disorder, more severe depressive and anxiety symptoms, higher levels of loneliness and engagement in avoidant coping were significantly associated with suicidal ideation. Conversely, attaining tertiary educational level or above, greater resilience and adopting problem-focused coping were associated with lower likelihood of suicidal ideation. Although univariate-analyses revealed that a number of pandemic-related factors were linked to suicidal ideation, none remained significant in the multivariable model. Conclusion: A significant proportion of people experienced suicidal ideation during the peak of fifth COVID-19 wave. Risk and protective factors identified would facilitate early identification of high-risk individuals and provision of targeted interventions to minimize suicidal ideation and risk of self-harm. Caution should be exercised due to study limitations of a cross-sectional design which precluded establishing causality among variables, and reliance on self-reported data.

Mortality, Revascularization, and Cardioprotective Pharmacotherapy After Acute Coronary Syndrome in Patients With Severe Mental Illness: A Systematic Review and Meta-analysis.

BACKGROUND AND HYPOTHESIS: People with severe mental illness (SMI) may experience excess mortality and inequitable treatment following acute coronary syndrome (ACS). However, cardioprotective pharmacotherapy and SMI diagnoses other than schizophrenia are rarely examined in previous reviews. We hypothesized that SMI including bipolar disorder (BD) is associated with increased post-ACS mortality, decreased revascularization, and cardioprotective medication receipt relative to those without SMI. STUDY DESIGN: We performed a meta-analysis to quantitatively synthesize estimates of post-ACS mortality, major adverse cardiac events (MACEs), and receipt of invasive coronary procedures and cardioprotective medications in patients with SMI, comprising schizophrenia, BD, and other nonaffective psychoses, relative to non-SMI counterparts. Subgroup analyses stratified by SMI subtypes (schizophrenia, BD), incident ACS status, and post-ACS time frame for outcome evaluation were conducted. STUDY RESULTS: Twenty-two studies were included (n = 12 235 501, including 503 686 SMI patients). SMI was associated with increased overall (relative risk [RR] = 1.40 [95% confidence interval = 1.21-1.62]), 1-year (1.68 [1.42-1.98]), and 30-day (1.26 [1.05-1.51]) post-ACS mortality, lower receipt of revascularization (odds ratio = 0.57 [0.49-0.67]), and cardioprotective medications (RR = 0.89 [0.85-0.94]), but comparable rates of any/specific MACEs relative to non-SMI patients. Incident ACS status conferred further increase in post-ACS mortality. Schizophrenia was associated with heightened mortality irrespective of incident ACS status, while BD was linked to significantly elevated mortality only in incident ACS cohort. Both schizophrenia and BD patients had lower revascularization rates. Post-ACS mortality risk remained significantly increased with mild attenuation after adjusting for revascularization. CONCLUSIONS: SMI is associated with increased post-ACS mortality and undertreatment. Effective multipronged interventions are urgently needed to reduce these physical health disparities.

Psychotropic drug utilization patterns in pregnant women with bipolar disorder: A 16-year population-based cohort study.

Despite growing concern about reproductive safety of psychotropic drugs, there is a paucity of research assessing prenatal prescribing practices for bipolar disorder (BD). This population-based cohort study identified women aged 15-50 years with BD diagnosis, who delivered their first and singleton child between 2003 and 2018 in Hong Kong, with an aim to examine temporal trends and predictors of prenatal psychotropic drug use as well as drug utilization patterns before and during pregnancy were evaluated. Data were retrieved from territory-wide medical-record database of public healthcare services. Of 302 identified women, 202 (66.9%) and 180 (59.6%) redeemed at least 1 prescription for psychotropic drugs in 12 months pre-pregnancy and during pregnancy, respectively. Psychotropic drug treatment (OR = 16.14 [95% CI: 8.79-29.65]) and psychiatric admission (OR = 4.12 [95% CI: 1.66-10.24]) within 12 months pre-pregnancy were associated with prenatal drug use. Second-generation antipsychotic use during pregnancy increased over time, while prenatal use of lithium, anti-epileptics and first-generation-antipsychotics showed declining trend. Use of psychotropic drugs progressively decreased across pre-pregnancy and trimesters of pregnancy. Forty-two (23.3%) women received polypharmacy during pregnancy. Antidepressant use accounted for 17% of all monotherapy episodes. A significant proportion of women exposed to valproate in 12 months pre-pregnancy (27.2%) and first-trimester (16%). In conclusion, our results generally indicate trajectories of reduced psychotropic drug use across pregnancy. Deviations between real-world prescribing patterns and treatment guidelines underscore the need for comprehensive review of current clinical practices. Further research clarifying relationships of prenatal psychotropic drug exposure with maternal and fetal outcomes is warranted.

Life expectancy and years of potential life lost in bipolar disorder: systematic review and meta-analysis.

BACKGROUND: There is increasing research examining excess mortality in people with bipolar disorder using life expectancy and related measures, which quantify the disease impact on survival. However, there has been no meta-analysis to date summarising existing data on life expectancy in those with bipolar disorder. AIMS: To systematically review and quantitatively synthesise estimates of life expectancy and years of potential life lost (YPLL) in people with bipolar disorder. METHOD: We searched Embase, Medline, PsycINFO and Web of Science databases up to 31 March 2021. We generated pooled life expectancy using random-effects models, and derived YPLL summary estimate by calculating averaged values weighted by sample size of individual studies. Subgroup analyses were conducted for gender, geographical region, study period, a given age (set-age) for lifespan estimation and causes of death. The study was registered with PROSPERO (CRD42021241705). RESULTS: Eleven and 13 studies were included in the review for life expectancy (n = 96 601) and YPLL (n = 128 989), respectively. Pooled life expectancy was 66.88 years (95% CI 64.47-69.28; I2 = 99.9%, P < 0.001), was higher in women than men (70.51 (95% CI 68.61-72.41) v. 64.59 (95% CI 61.16-68.03); z = 2.00, P = 0.003) and was lowest in Africa. Weighted average YPLL was 12.89 years (95% CI 12.72-13.07), and was greatest in Africa. More YPLL was observed when lifespan was estimated at birth than at other set-age. YPLLs attributable to natural and unnatural deaths were 5.94 years (95% CI 5.81-6.07) and 5.69 years (95% CI 5.59-5.79), respectively. CONCLUSIONS: Bipolar disorder is associated with substantially shortened life expectancy. Implementation of multilevel, targeted interventions is urgently needed to reduce this mortality gap.

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.

Altered Risk-Taking Behavior in Early-Stage Bipolar Disorder With a History of Psychosis.

Altered risk-taking propensity is an important determinant of functional impairment in bipolar disorder. However, prior studies primarily assessed patients with chronic illness, and risk-taking has not been evaluated in the early illness course. This study investigated risk-taking behavior in 39 euthymic early-stage bipolar disorder patients aged 16-40 years who were treated within 3 years from their first-episode mania with psychotic features and 36 demographically-matched healthy controls using the Balloon Analog Risk Task (BART), a well-validated risk-taking performance-based paradigm requiring participants to make responses for cumulative gain at increasing risk of loss. Relationships of risk-taking indices with symptoms, self-reported impulsivity, cognitive functions, and treatment characteristics were also assessed. Our results showed that patients exhibited significantly lower adjusted scores (i.e., average balloon pumps in unexploded trials) (p = 0.001), lower explosion rate (p = 0.007) and lower cumulative scores (p = 0.003) than controls on BART, indicating their suboptimal risk-taking performance with increased propensity for risk aversion. Risk-taking indices were not correlated with any symptom dimensions, self-reported impulsivity, cognitive functions or antipsychotic dose. No significant difference was observed between patients with and without antipsychotic medications on self-reported impulsivity or any of the BART performance indices. This is the first study to examine risk-taking behavior in early-stage bipolar disorder with history of psychosis and indicates that patients displayed altered risk-taking with increased risk aversion compared with controls. Further research is needed to clarify longitudinal trajectory of risk-taking propensity and its relationships with psychosis and functional outcome in the early stage of bipolar disorder.

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.

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.