Association of periodontitis with all-cause and cause-specific mortality among individuals with depression: a population-based study.

To detect the association between periodontitis and all-cause as well as cause-specific mortality rates among adults diagnosed with depression. Participants diagnosed with depression were selected from NHANES across three periods (1988-1994; 1999-2004; 2009-2014). Cox proportional hazards and Weibull accelerated failure time (AFT) models were utilized to calculate hazard ratios (HRs), time ratios (TRs), and their 95% confidence intervals (CIs) to evaluate the association between moderate-to-severe periodontitis and all-cause as well as cause-specific mortality among participants with depression. white blood counts and C-reactive protein were used to assess the mediating role of systemic inflammation. Among the 1,189 participants with a median follow-up of 9.25 years, 133 deaths were recorded. After adjusting for multiple variables, moderate-to-severe periodontitis was obvious associated with an increased risk of cancer-related mortality in individuals with depression (Cox: HR 3.22, 95% CI 1.51-6.83, P = 0.002; AFT: TR 0.70, 95% CI 0.52-0.94, P = 0.017). Neither WBC nor CRP significantly mediate the association between periodontitis and cancer-related mortality. The risk of cancer-related mortality rose with the severity of periodontitis (P for trend = 0.021). However, no association was observed between moderate-to-severe periodontitis and other kinds of mortality. Moderate-to-severe periodontitis is linked to an elevated risk of cancer-related mortality among adults diagnosed with depression, with the mortality risk increasing alongside the severity of periodontitis. No significant mediating effect of systemic inflammation was found in this association. These findings highlight the importance of addressing periodontal health in individuals with depression. By uncovering the association between periodontitis and mortality in this population, our study underscores the potential benefits of preventive dental care and periodontal treatment in reducing the risk of cancer-related mortality in individuals with depression.

The value of the platelet/high-density lipoprotein cholesterol ratio in predicting depression and its cardiovascular disease mortality: a population-based observational study.

Background: Cardiovascular disease (CVD) and depression have a bidirectional association, with inflammation and metabolic factors being common important triggers for both conditions. However, as a novel inflammatory and metabolic marker, platelet-to-HDL-C ratio (PHR) has not been established in relation to depression and cardiovascular disease. Materials and methods: Participants aged 20 years and older were included in the 2005-2018 NHANES database. PHR was calculated as the ratio of platelet count (1000 cells/µL) to HDL-C (mmol/L). The Patient Health Questionnaire (PHQ-9) was used to diagnose depression, with a cutoff value of 10. Weighted logistic regression analysis and restricted cubic spline (RCS) analysis were employed to examine the association between PHR and depression-related features. Additionally, weighted COX regression and RCS were used to analyze the association of PHR with CVD mortality in patients with depression. Receiver operating characteristic curves were used to assess whether PHR had an advantage over HDL-C in predicting depression. Finally, the mediating role of PHR in the latest cardiovascular health indicator Life's Essential 8 and depression was explored. Results: A total of 26,970 eligible participants were included, including 2,308 individuals with depression, representing approximately 160 million U.S. adults when weighted. After full adjustment, we estimated that the odds ratio (OR) of depression associated with a per standard deviation (SD) increase in PHR was 1.06 (95% CI: 1.01-1.12, P=0.03). The restricted cubic spline (RCS) analysis indicated a linear association (Nonlinear P=0.113). When PHR was divided into four groups based on quartiles and included in the model after full adjustment for depression risk factors, participants in quartile 2, quartile 3, and quartile 4 of PHR showed a trend of increasing risk of depression compared to the lowest quartile group (P trend=0.01). In addition, weighted COX regression and RCS revealed that a per SD increase in PHR was associated with a higher risk of CVD mortality among patients with depression (HR: 1.38, 95% CI: 1.05-1.81, P=0.02, Nonlinear P=0.400). Subgroup analyses showed that current alcohol consumption enhanced the association between PHR and depression (P for interaction=0.017). Furthermore, the areas under the ROC curves (AUC) were 0.556 (95% CI, 0.544-0.568; P < 0.001) for PHR and 0.536 (95% CI, 0.524-0.549; P < 0.001) for HDL-C (PDeLong = 0.025). Finally, mediation analysis indicated that PHR was an intermediate mechanism between LE8 and depression (mediation proportion=5.02%, P=0.02). Conclusion: In U.S. adults, an increase in PHR linearly increases the risk of depression and CVD mortality among individuals with depression. Additionally, PHR has a better predictive advantage for depression compared to HDL-C. Furthermore, PHR significantly mediates the association between LE8 scores and depression.

The association of depression with all-cause and cardiovascular disease mortality risk among transgender and gender diverse and cisgender patients.

BACKGROUND: Transgender and gender diverse (TGD) individuals have elevated mental and physical health disparities and a greater mortality risk compared to their cisgender (non-TGD) counterparts. METHODS: We assessed differences in the association of depression with all-cause and cardiovascular disease (CVD) mortality among TGD and cisgender Veterans Administration patients. A sample of 8981 TGD patients, matched 1:3 with cisgender patients (n = 26,924) patients, was created from administrative and electronic health record data from October 1, 1999 to December 31, 2016. Cox proportional regression models stratified by gender modality (i.e., TGD and cisgender) were used to assess the hazard of all-cause and CVD mortality associated with a history of depression. RESULTS: Adjusted models demonstrated that depression was significantly associated with a greater hazard of all-cause mortality among both TGD (aHR:1.18, 95 % CI: 1.04-1.34) and cisgender (aHR:1.22, 95 % CI: 1.17-1.28) patients. Similar to all-cause mortality, depression was significantly associated with a greater hazard of CVD mortality among cisgender patients ≥65 years (aHR = 1.23, 95 % CI = 1.13-1.35). Findings for TGD patients showed a similar pattern, though results were not significant. LIMITATIONS: Hazards may be underestimated since depression may be underdiagnosed. Further, we were unable to adjust for other health-related risk factors tied to mortality (e.g., smoking). CONCLUSION: Overall, depression was associated with a greater hazard of all-cause mortality among both TGD and cisgender patients. Future work should assess the equity of reach, quality, and outcomes of treatment for depression for TGD populations given the lack of attention to addressing the needs of this important patient demographic.

Depressive symptoms and all-cause mortality among middle-aged and older people in China and associations with chronic diseases.

Introduction: It remains unclear whether depressive symptoms are associated with increased all-cause mortality and to what extent depressive symptoms are associated with chronic disease and all-cause mortality. The study aims to explore the relationship between depressive symptoms and all-cause mortality, and how depressive symptoms may, in turn, affect all-cause mortality among Chinese middle-aged and older people through chronic diseases. Methods: Data were collected from the China Health and Retirement Longitudinal Study (CHARLS). This cohort study involved 13,855 individuals from Wave 1 (2011) to Wave 6 (2020) of the CHARLS, which is a nationally representative survey that collects information from Chinese residents ages 45 and older to explore intrinsic mechanisms between depressive symptoms and all-cause mortality. The Center for Epidemiological Studies Depression Scale (CES-D-10) was validated through the CHARLS. Covariates included socioeconomic variables, living habits, and self-reported history of chronic diseases. Kaplan-Meier curves depicted mortality rates by depressive symptom levels, with Cox proportional hazards regression models estimating the hazard ratios (HRs) of all-cause mortality. Results: Out of the total 13,855 participants included, the median (Q1, Q3) age was 58.00 (51.00, 63.00) years. Adjusted for all covariates, middle-aged and older adults with depressive symptoms had a higher all-cause mortality rate (HR = 1.20 [95% CI, 1.09-1.33]). An increased rate was observed for 55-64 years old (HR = 1.23 [95% CI, 1.03-1.47]) and more than 65 years old (HR = 1.32 [95% CI, 1.18-1.49]), agricultural Hukou (HR = 1.44, [95% CI, 1.30-1.59]), and nonagricultural workload (HR = 1.81 [95% CI, 1.61-2.03]). Depressive symptoms increased the risks of all-cause mortality among patients with hypertension (HR = 1.19 [95% CI, 1.00-1.40]), diabetes (HR = 1.41[95% CI, 1.02-1.95]), and arthritis (HR = 1.29 [95% CI, 1.09-1.51]). Conclusion: Depressive symptoms raise all-cause mortality risk, particularly in those aged 55 and above, rural household registration (agricultural Hukou), nonagricultural workers, and middle-aged and older people with hypertension, diabetes, and arthritis. Our findings through the longitudinal data collected in this study offer valuable insights for interventions targeting depression, such as early detection, integrated chronic disease care management, and healthy lifestyles; and community support for depressive symptoms may help to reduce mortality in middle-aged and older people.

Association of depressive symptoms and sleep disturbances with survival among US adult cancer survivors.

BACKGROUND: Depression and sleep disturbances are associated with increased risks of various diseases and mortality, but their impacts on mortality in cancer survivors remain unclear. The objective of this study was to characterize the independent and joint associations of depressive symptoms and sleep disturbances with mortality outcomes in cancer survivors. METHODS: This population-based prospective cohort study included cancer survivors aged ≥ 20 years (n = 2947; weighted population, 21,003,811) from the National Health and Nutrition Examination Survey (NHANES) 2007-2018 cycles. Depressive symptoms and sleep disturbances were self-reported. Depressive symptoms were assessed using the Patient Health Questionnaire 9 (PHQ-9). Death outcomes were determined by correlation with National Death Index records through December 31, 2019. Primary outcomes included all-cause, cancer-specific, and noncancer mortality. RESULTS: During the median follow-up of 69 months (interquartile range, 37-109 months), 686 deaths occurred: 240 participants died from cancer, 146 from heart disease, and 300 from other causes. Separate analyses revealed that compared with a PHQ-9 score (0-4), a PHQ-9 score (5-9) was associated with a greater risk of all-cause mortality (hazard ratio [HR], 1.28; 95% CI, 1.03-1.59), and a PHQ-9 score (≥ 10) was associated with greater risk of all-cause mortality (HR, 1.37; 95% CI, 1.04-1.80) and noncancer mortality (HR, 1.45; 95% CI, 1.01-2.10). Single sleep disturbances were not associated with mortality risk. In joint analyses, the combination of a PHQ-9 score ≥ 5 and no sleep disturbances, but not sleep disturbances, was associated with increased risks of all-cause mortality, cancer-specific mortality, and noncancer mortality. Specifically, compared with individuals with a PHQ-9 score of 0-4 and no sleep disturbances, HRs for all-cause mortality and noncancer mortality in individuals with a PHQ-9 score of 5-9 and no sleep disturbances were 1.72 (1.21-2.44) and 1.69 (1.10-2.61), respectively, and 2.61 (1.43-4.78) and 2.77 (1.27-6.07), respectively, in individuals with a PHQ-9 score ≥ 10 and no sleep disturbances; HRs for cancer-specific mortality in individuals with a PHQ-9 score ≥ 5 and no sleep disturbances were 1.95 (1.16-3.27). CONCLUSIONS: Depressive symptoms were linked to a high risk of mortality in cancer survivors. The combination of a PHQ-9 score (≥ 5) and an absence of self-perceived sleep disturbances was associated with greater all-cause mortality, cancer-specific mortality, and noncancer mortality risks, particularly in individuals with a PHQ-9 score (≥ 10).

Depressive symptoms-Not a predictor for five-year mortality in patients with subjective cognitive decline, non-amnestic and amnestic mild cognitive impairment.

The main aim of the present study is to evaluate the influence of depressive symptoms on mortality in patients with SCD (subjective cognitive decline), naMCI (non-amnestic mild cognitive impairment), and aMCI (amnestic mild cognitive impairment). Additional factors (age, sex, years of school attendance, and neuropsychological performance) were considered to determine the impact on survival probability. A monocentric retrospective data analysis based on adjusted patient protocols (n = 1221) from the observation period 1998-2021, using the Cox Proportional Hazards model, assessed whether depressivity had an explanatory value for survival, considering SCD as the reference level in relation to naMCI and aMCI. Covariates were included blockwise. Cox regression revealed that depressiveness (Beck Depression Inventory, Geriatric Depression Scale) did not make a significant contribution as a risk factor for mortality in all five model blocks, BDI-II with HR 0.997 [0.978; 1.02] and GDS-15 with HR 1.03 [0.98; 1.08]. Increasing age with HR 1.09 [1.07; 1.11] and male sex with HR (inverted) 1.53 [1.17; 2.00] appeared as risk factors for increased mortality across all five model blocks. aMCI (vs. SCD) with HR 1.91 [1.33; 2.76] showed a significant explanatory value only up to the fourth model block. By adding the six dimensions of the Neuropsychological Test Battery Vienna in the fifth model block, the domains attention and perceptual speed with HR 1.34 [1.18; 1.53], and executive functions with HR 1.24 [1.11; 1.39], showed substantial explanatory values for survival. Accordingly, no tendency can be attributed to depressiveness as a risk factor on the probability of survival, whereas the influence of certain cognitive dimensions, especially attention and perceptual speed, and executive functions, can be seen as protective for survival.

Depressive symptoms and smoking: Effect on mortality in a primary care cohort.

OBJECTIVE: Depressive symptoms have been suggested to increase mortality risk but causality remains unproven. Depressive symptoms increase likelihood of smoking which is thus a potential factor modifying the effect of depressive symptoms on mortality. This study aims to assess if the association of depressive symptoms and all-cause mortality is affected by smoking. METHODS: A prospective cohort study in Finnish primary care setting was conducted among 2557 middle-aged cardiovascular disease (CVD) risk persons identified in a population survey. Baseline depressive symptoms were assessed by Beck's Depression Inventory (BDI) and current smoking by self-report. Data on mortality was obtained from the official statistics. Effect of depressive symptoms and smoking on all-cause mortality after 14-year follow-up was estimated. RESULTS: Compared to non-depressive non-smokers, the adjusted hazard ratio (HR) for all-cause mortality was 3.10 (95% CI 2.02 to 4.73) and 1.60 (95% CI 1.15 to 2.22) among smoking subjects with and without depressive symptoms, respectively. Compared to the general population, relative survival was higher among non-depressive non-smokers and lower among depressive smokers. Relative standardized mortality ratio (SMR) for all-cause mortality was 1.78 (95% CI 1.31 to 2.44) and 3.79 (95% CI 2.54 to 6.66) among non-depressive and depressive smokers, respectively, compared to non-depressive non-smokers. The HR for all-cause mortality and relative SMR of depressive non-smokers were not increased compared to non-depressive non-smokers. CONCLUSION: Current smoking and increased depressive symptoms seem to additively contribute to excess mortality.

Association of composite dietary antioxidant index with depression and all-cause mortality in middle-aged and elderly population.

Current research has shown an increasing acceptance of interventions for depression through dietary modifications. However, whether composite dietary antioxidant index (CDAI) is associated with depression and all-cause mortality in middle-aged and elderly population remains unknown. This study aimed to explore those associations in American middle-aged and elderly population. Weighted logistic regression models and weighted Cox proportional hazard regression models were used to assess the association of CDAI, covariates, depression, and all-cause mortality, respectively. The stability of the results was also determined by a linear trend test based on CDAI quintiles. Restricted cubic spline curves were employed to test for non-linear relationships. In the model adjusted for all covariates, significant associations were found with the ORs (95% CI) for CDAI and depression [0.77 (0.67, 0.89)] and the HRs (95% CI) for CDAI with all-cause mortality[0.91 (0.83, 1.00)]. Upon conducting restricted cubic spline curves, we found that the association between CDAI and depression was linear, whereas the association between CDAI and all-cause mortality was non-linear with an inflection point of -0.19. Statistical significance was only found before the inflection point. In this study of middle-aged and elderly Americans, CDAI was linearly negatively associated with depression and non-linearly negatively associated with all-cause mortality.

The effects of health risk behaviors to excess mortality in the population with depression: A cohort study based on NHANES data.

BACKGROUND: The population with depression had a considerable excess mortality risk. This increased mortality may be attributed to the biological consequences of depression or the substantial prevalence of health risk behaviors (HRBs). This study aimed to quantify the combined effects of four major HRBs - smoking, excessive alcohol use, physical inactivity, and an unhealthy diet - on excess mortality among depressed individuals. METHODS: This study included 35,738 adults from the National Health and Nutrition Examination Survey 2005-06 to 2017-18, with mortality follow-up data censored through 2019. The standardized prevalence of HRBs was calculated for populations with and without depression. Poisson regression models were used to calculate the mortality rate ratio (MRR). Based on model adjusting for socio-demographic factors, the attenuation of MRR was determined after further adjustment for HRBs. RESULTS: A total of 3147 participants were identified as having depression. All HRBs showed a significantly higher prevalence among the population with depression. After adjusting for socio-demographic factors, depression was associated with 1.7 and 1.8 times higher all-cause and cardiovascular disease mortality rate, respectively. Further adjustment for all current HRBs resulted in a 21.9 % reduction in all-cause mortality rate and a 15.4 % decrease in cardiovascular disease mortality rate. LIMITATION: HRBs were reported at a single time point, and we are unable to demonstrate a causal effect. CONCLUSION: At least 1/5 of excess mortality for population with depression was attributable to HRBs. Efforts should be made to address HRBs among population with depression.

Prospective trajectories of depression predict mortality in cancer patients.

An ever-growing body of empirical evidence has demonstrated the relationship between depression and cancer. The objective of this study was to examine whether depression trajectories predict mortality risk above and beyond demographics and other general health-related factors. Participants (n = 2,345) were a part of the Health and Retirement Study. The sample consisted of patients who were assessed once before their cancer diagnosis and thrice after. Depressive symptoms and general health-related factors were based on self-reports. Mortality risk was determined based on whether the patient was alive or not at respective time points. Latent Growth Mixture Modeling was performed to map trajectories of depression, assess differences in trajectories based on demographics and general health-related factors, and predict mortality risk. Four trajectories of depression symptoms emerged: resilient (69.7%), emerging (13.5%), recovery (9.5%), and chronic (7.2%). Overall, females, fewer years of education, higher functional impairment at baseline, and high mortality risk characterized the emerging, recovery, and chronic trajectories. In comparison to the resilient trajectory, mortality risk was highest for the emerging trajectory and accounted for more than half of the deaths recorded for the participants in emerging trajectory. Mortality risk was also significantly elevated, although to a lesser degree, for the recovery and chronic trajectories. The data highlights clinically relevant information about the depression-cancer association that can have useful implications towards cancer treatment, recovery, and public health.

A cross-sectional analysis of the association between physical activity, depression, and all-cause mortality in Americans over 50 years old.

Depression is estimated to be the second leading cause of disability in the United States and is associated with a 52% increased risk of death. Lifestyle components may have an important role in depression pathogenesis. The aims of this study were to analyze the association of meeting the physical activity (PA) recommendation guidelines and depression, and to analyze the all-cause mortality risk of the joint association of PA and depression. This cross-sectional study included 7201 participants from the 2007-2014 National Health and Nutrition Examination Survey aged ≥ 50 years and linked to National Death Index records through December 31, 2015. Depression was defined as a score ≥ 10 using the Patient Health Questionnaire (PHQ-9). PA was self-reported, and total PA was used to classify participants as more active (≥ 600 MET-min/week) or less active (< 600 MET-min/week). The odds ratios for depression were examined according to be more active or less active. The hazard ratios (HR) for the association of PA level and depression status with all-cause mortality were examined. Being more active was associated with reduced odds for depression. Compared with less active participants with depression, those who were more active and having depression had HR 0.45 (95% CI 0.22, 0.91, p = 0.026) for all-cause mortality. Being more active is associated with lower odds for depression and seems to be a protective factor against the increased all-cause mortality risk due to depression.

Sex-related differences on the risks of in-hospital and late outcomes after acute aortic dissection: A nationwide population-based cohort study.

OBJECTIVE: The aim of this study is to evaluate the sex-related differences on the risks of perioperative and late outcomes for adult acute aortic dissection (AAD) patients following surgical management. METHODS AND RESULTS: By using Taiwan National Health Insurance Research Database, totally 1,410 female and 3,432 male patients were identified to first-ever receive type A AAD open surgery or type B AAD stenting treatment from 2004 to 2013. We assessed the sex-related difference on outcomes, including in-hospital mortality, all-cause mortality, aortic death, redo aortic surgery, ischemic stroke, and depression during the follow-up period. The analysis was done separately for type A and type B surgeries. RESULTS: On average, female patients diagnosed with AAD were older than males. There was no significant sex difference of in-hospital mortality or all-cause mortality for both type A open and type B stent surgeries. The risk of redo aortic surgery was significantly greater in males than females (7.8% vs. 4%; unadjusted subdistribution hazard ratio [SHR] 0.51, 95% CI 0.38-0.69) for type A open surgery, but not for type B stent surgery. Noticeably, the risk of newly-diagnosed depression was significantly greater in females than males (8% vs. 5.1%; unadjusted SHR 1.6, 95% CI 1.24-2.06) for type A open surgery, but not for type B stent surgery. CONCLUSIONS: No significant sex-related difference was found for the in-hospital mortality or accumulative all-cause mortality. However, there were more redo aortic surgeries for males and more postoperative depression for females in type A AAD population.

Effect of depression on progression to end-stage renal disease or pre-end-stage renal disease death in advanced diabetic nephropathy: A prospective cohort study of the Diabetes Study from the Center of Tokyo Women's Medical University.

AIMS/INTRODUCTION: This study aimed to determine the effect of depression on the progression to end-stage renal disease (ESRD) and pre-ESRD death in patients with advanced diabetic nephropathy. MATERIALS AND METHODS: This single-center prospective cohort study enrolled Japanese patients with type 2 diabetes and advanced diabetic nephropathy. The total Patient Health Questionnaire-9 score was used to evaluate depression at baseline and classified patients into: no, mild and severe depression groups. The outcomes were ESRD, defined as initiation of renal replacement therapy, and pre-ESRD death. The relationship between the severity of depression and these outcomes was analyzed using a competing risks model, defining each outcome as the competing risk of the other outcome. RESULTS: Of the 486 patients with a mean estimated glomerular filtration rate of 37.1 ± 21.1 mL/min/1.73 m2 , 345 were men. During the median follow up of 4.4 years, 164 patients progressed to ESRD and 50 died. The cumulative incidence function of ESRD was significantly higher in the severe depression group (Gray's test, P = 0.003). The ESRD risk increased by 12.4% and 45.1% in patients with mild and severe depression, respectively, compared with those without depression, although these differences did not reach statistical significance in the multivariate subdistribution hazard model (P = 0.450 and 0.161, respectively). The cumulative incidence of death was similar for the study groups. CONCLUSION: Depression potentially has a weak impact on progression to ESRD, however, the presence of comorbidities might have the possibility to reduce the effect of depression on the renal outcome in patients with advanced diabetic nephropathy.

Mortalidade em transtornos mentais no estudo UK Biobank / Mortality in mental disorders in the UK Biobank study

Introdução - Vasta literatura tem associado transtornos mentais a uma mortalidade aumentada. Porém, poucos estudos sobre o tema identificaram transtornos mentais através de questionários validados. Além disso, pouco se sabe sobre a contribuição de fatores de risco modificáveis para explicar o excesso de mortalidade associado a transtornos mentais. Objetivo - Utilizar dados do UK Biobank, um grande estudo prospectivo que recrutou meio milhão de participantes de meia idade e idosos entre 2006 e 2010, para investigar: (I) a mortalidade relativa e as causas de morte associadas a uma ampla gama de transtornos mentais; (II) padrões de combinações de transtornos mentais e a mortalidade relativa associada a essas combinações; e (III) a contribuição de fatores de risco modificáveis para explicar o excesso de mortalidade associado à depressão. Transtornos mentais foram identificados por variados métodos, incluindo um Questionário de Saúde Mental completado por cerca de 160.000 participantes, diagnósticos registrados durante internações hospitalares obtidos via linkage e diagnósticos autorrelatados. Métodos - Foram obtidas estimativas de mortalidade relativa por todas as causas associadas a diferentes transtornos mentais e suas combinações com modelos de regressão de Cox ajustados por idade (ou idade e sexo). Padrões de combinações de transtornos mentais foram explorados através de mineração de regras de associação. Um método baseado em modelos de regressão de Cox foi utilizado para estimar a porcentagem do excesso de mortalidade associada à depressão explicada por fatores de risco modificáveis. Resultados - A maioria dos transtornos mentais e combinações de transtornos mentais se associaram com maior mortalidade, independentemente do método de identificação. Cerca de 70% da mortalidade em excesso associada à depressão pôde ser explicada por fatores de risco modificáveis. Conclusões - Em uma grande amostra de indivíduos de meia idade e idosos no Reino Unido, transtornos mentais e suas combinações estiveram consistentemente associados a uma maior mortalidade. Em depressão, essa associação parece ser explicada em grande parte pela presença de fatores de risco modificáveis.

Introduction - Extensive literature has associated mental disorders with increased mortality. However, few studies on this topic have identified mental disorders through validated questionnaires. In addition, little is known about the contribution of modifiable risk factors to explain the excess mortality associated with mental disorders. Objective - To use data from the UK Biobank, a large prospective study which recruited half a million middle-aged and elderly participants between 2006 and 2010, to investigate: (I) the relative mortality and causes of death associated with a wide range of mental disorders; (II) patterns of combinations of mental disorders and the relative mortality associated with these combinations; and (III) the contribution of modifiable risk factors to explain the excess mortality associated with depression. Mental disorders were identified by various methods, including a Mental Health Questionnaire completed by approximately 160,000 participants, diagnoses from hospital inpatient records obtained via linkage, and self-reported diagnoses. Methods - The relative all-cause mortality associated with different mental disorders and their combinations was estimated using Cox regression models adjusted for age (or age and sex). Association rule mining was used to explore patterns of combinations of mental disorders. A method based on Cox regression models was used to estimate the percentage of excess mortality associated with depression explained by modifiable risk factors. Results The majority of mental disorders and combinations of mental disorders were associated with higher mortality, regardless of the identification method. Approximately 70% of the excess mortality associated with depression could be explained by modifiable risk factors. Conclusions - In a large sample of middle-aged and elderly individuals in the UK, mental disorders and their combinations were consistently associated with higher mortality. In depression, this association seems to be largely explained by the presence of modifiable risk factors.

Effect of polymorphism rs1799964 in TNF-α gene on survival in depressive patients with chronic heart failure.

OBJECTIVE: To date, there are no literature reports combining the relationship between depression and chronic heart failure (CHF) in relations to selective nutritional, cardiac and laboratory parameters. The aim of this study was to correlate the rs1799964 genotypes in TNF-α with clinical outcomes of depressive CHF patients. PATIENTS AND METHODS: 94 CHF patients were enrolled to assess depression prevalence and to compare values of cardiac, laboratory and nutritional parameters between depressed and non-depressed patients with different rs1799964 genotypes. RESULTS: Depression was diagnosed in 66 individuals (70.2%). We noted significant reduction of EF% in CC genotype carriers compared to other patients (mean EF%: 36±11 CC vs. 44±14 CT and 46±7 TT; p=0.023) and worse outcomes in NYHA examination (p=0.033). We noticed a significant increase in serum CRP and TNF-α in CC patients (p=0.003 and p<0.001). Compared with T allele carriers, the CHF patients bearing CC genotype were more frequently diagnosed as cachectic (cachexia incidence for CC - 80% vs. 28% for CT and 38.7% for TT; p=0.017). CC genotype of rs1799964 was found as unfavorable factor affecting survival of depressive CHF patients (HR=8.87; p<0.001). CONCLUSIONS: The presence of the CC genotype in patients with depression and CHF can be considered an unfavorable prognostic factor related to the risk of shortening the life expectancy and deteriorating its quality, which is reflected in the severity of inflammation.

Effect of depression on mortality in type 2 diabetes mellitus after 8 years of follow-up. The DIADEMA study.

AIM: To assess the effect of depression on all-cause mortality in patients with type 2 diabetes mellitus (T2DM) followed up during 8 years in primary care in Spain. METHODS: Depression was diagnosed according to MINI 5.0.0 questionnaire, physician-diagnosis or following antidepressant therapy for at least two months in 3923 people with T2DM. We analyzed mortality-rates/10,000 person-years. We compared survival according to baseline depression with Kaplan-Meier estimates and the log-rank test. We performed Cox proportional hazard model analyses. RESULTS: Baseline depression was diagnosed in 22.1% of participants. Mortality was higher in patients with depression (31.9% vs. 26.9%; p = 0.003), who had a significantly poorer survival (median survival = 7.4 vs. 7.8 years, respectively; Log Rank = 15.83; p < 0.001). Depression showed an adjusted mortality hazard ratio (HR) = 1.40 (95%CI:1.20-1.65; p < 0.001). The strongest predictive factors were: age >75 years (HR = 6.04; 95%CI:4.62-7.91; p < 0.001), insulin use (HR = 2.37; 95%CI:1.86-3.00; p < 0.001), lower limb amputation (HR = 1.99; 95%CI:1.28-3.11; p = 0.002), heart failure (HR = 1.94; 95%CI:1.63-2.30; p < 0.001), and male gender (HR = 1.90; 95%CI:1.59-2.27). CONCLUSION: In a Spanish cohort of older T2DM patients, depression was associated with a higher mortality risk. More efforts are needed to minimize the influence of depression on mortality in people with T2DM and to implement measures that allow its early diagnosis and effective treatment.

Combined Effects of Depression and Chronic Disease on the Risk of Mortality: The Korean Longitudinal Study of Aging (2006-2016).

BACKGROUND: The prevalence of depression is much higher in people with chronic disease than in the general population. Depression exacerbates existing physical conditions, resulting in a higher-than-expected death rate from the physical condition itself. In our aging society, the prevalence of multimorbid patients is expected to increase; the resulting mental problems, especially depression, should be considered. Using a large-scale cohort from the Korean Longitudinal Study of Aging (KLoSA), we analyzed the combined effects of depression and chronic disease on all-cause mortality. METHODS: We analyzed 10-year (2006-2016) longitudinal data of 9,819 individuals who took part in the KLoSA, a nationwide survey of people aged 45-79 years. We examined the association between multimorbidity and depression using chi-square test and logistic regression. We used the Cox proportional hazard model to determine the combined effects of multimorbidity and depression on the all-cause mortality risk. RESULTS: During the 10-year follow up, 1,574 people (16.0%) died. The hazard ratio associated with mild depression increased from 1.35 (95% confidence interval [CI], 1.05-1.73) for no chronic disease to 1.25 (95% CI, 0.98-1.60) for 1 chronic disease, and to 2.00 (95% CI, 1.58-2.52) for multimorbidity. The hazard ratio associated with severe depression increased from 1.73 (95% CI, 1.33-2.24) for no chronic disease, to 2.03 (95% CI, 1.60-2.57) for 1 chronic disease, and to 2.94 (95% CI, 2.37-3.65) for multimorbidity. CONCLUSION: Patients with coexisting multimorbidity and depression are at an increased risk of all-cause mortality than those with chronic disease or depression alone.

Pre-existing depression in patients with coronary artery disease undergoing percutaneous coronary intervention.

The impact of pre-existing depression on mortality in individuals with established coronary artery disease (CAD) remains unclear. We evaluate the clinical implications of pre-existing depression in patients who underwent percutaneous coronary intervention (PCI). Based on National Health Insurance claims data in Korea, patients without a known history of CAD who underwent PCI between 2013 and 2017 were enrolled. The study population was divided into patients with angina (n = 50,256) or acute myocardial infarction (AMI; n = 40,049). The primary endpoint, defined as all-cause death, was compared between the non-depression and depression groups using propensity score matching analysis. After propensity score matching, there were 4262 and 2346 matched pairs of patients with angina and AMI, respectively. During the follow-up period, there was no significant difference in the incidence of all-cause death in the angina (hazard ratio [HR] of depression, 1.013; 95% confidence interval [CI] 0.893-1.151) and AMI (HR, 0.991; 95% CI 0.865-1.136) groups. However, angina patients less than 65 years of age with depression had higher all-cause mortality (HR, 1.769; 95% CI 1.240-2.525). In Korean patients undergoing PCI, pre-existing depression is not associated with poorer clinical outcomes. However, in younger patients with angina, depression is associated with higher all-cause mortality.

Safety of antidepressants in a primary care cohort of adults with obesity and depression.

BACKGROUND: Obesity, depressive disorders and antidepressant drugs are associated with increased mortality, cardiovascular disease, diabetes, fractures and falls. We explored outcomes associated with the most commonly prescribed antidepressants in overweight or obese people with depression. METHODS AND FINDINGS: We identified a cohort of overweight or obese adults (≥18 years) in primary care from the UK Clinical Practice Research Datalink, linked with hospital and mortality data, between 1 January 2000 and 31 December 2016 who developed incident depression to January 2019. Cox proportional hazards models and 99% confidence intervals were used to estimate hazard ratios (HR) for mortality, cardiovascular disease, diabetes, and falls/fractures associated with exposure to selective serotonin reuptake inhibitors (SSRIs), tricyclic (TCA)/other, combination antidepressants, citalopram, fluoxetine, sertraline, amitriptyline and mirtazapine, adjusting for potential confounding variables. In 519,513 adults, 32,350 (9.2 per 1,000 years) displayed incident depression and 21,436 (66.3%) were prescribed ≥1 antidepressant. Compared with no antidepressants, all antidepressant classes were associated with increased relative risks of cardiovascular disorders [SSRI HR: 1.32 (1.14-1.53), TCA/Other HR: 1.26 (1.01-1.58)], and diabetes (any type) [SSRI HR: 1.28 (1.10-1.49), TCA/Other: 1.52 (1.19-1.94)]. All commonly prescribed antidepressants except citalopram were associated with increased mortality compared with no antidepressants. However, prescription ≥1 year of ≥40mg citalopram was associated with increased mortality and falls/fractures and ≥1 year 100mg sertraline with increased falls/fractures. CONCLUSIONS: In overweight/obese people with depression, antidepressants may be overall and differentially associated with increased risks of some adverse outcomes. Further research is required to exclude indication bias and residual confounding.

Personalised support of brain tumour patients during radiotherapy based on psychological profile and quality of life.

PURPOSE: Psychological distress in primary malignant brain tumour (PMBT) patients is associated with poorer outcomes. Radiotherapy (RT) often induces side effects that significantly influence patients' quality of life (QoL), with potential impact on survival. We evaluated distress, anxiety, depression, and QoL over time to identify patients with difficulties in these areas who required more intense psychological support. METHODS: Psychological questionnaires-Distress Thermometer (DT), Hospital Anxiety and Depression Scale (HADS), and Functional Assessment of Cancer Therapy (FACT-G and FACT-Br)-were completed at the beginning (T0), in the middle (T1), directly after RT (T2), and 3 months after RT (T3). We personalised the psychological support provided for each patient with a minimum of three sessions ('typical' schedule) and a maximum of eight sessions ('intensive' schedule), depending on the patients' psychological profiles, clinical evaluations, and requests. Patients' survival was evaluated in the glioblastoma multiforme (GBM) patients, with an explorative intent. RESULTS: Fifty-nine consecutive PMBT patients receiving post-operative RT were included. For patients who were reported as 'not distressed' at T0, no statistically significant changes were noted. In contrast, patients who were 'distressed' at T0 showed statistically significant improvements in DT, HADS, FACT-G, and FACT-Br scores over time. 'Not distressed' patients required less psychological sessions over the study duration than 'distressed' patients. Interestingly, 'not distressed' GBM patients survived longer than 'distressed' GBM patients. CONCLUSIONS: Increased psychological support improved distress, mood, and QoL for patients identified as 'distressed', whereas psychological well-being was maintained with typical psychological support in patients who were identified as being 'not distressed'. These results encourage a standardisation of psychological support for all RT patients.