The impact of psychiatric and medical comorbidity on the risk of mortality: a population-based analysis

2019 ◽  
pp. 1-9
Author(s):  
Simon J. C. Davies ◽  
Tomisin Iwajomo ◽  
Claire de Oliveira ◽  
Judith Versloot ◽  
Robert J. Reid ◽  
...  

Abstract Background As life expectancy increases, more people have chronic psychiatric and medical health disorders. Comorbidity may increase the risk of premature mortality, an important challenge for health service delivery. Methods Population-based cohort study in Ontario, Canada of all 11 246 910 residents aged ⩾16 and <105 on 1 April 2012 and alive on 31 March 2014. Secondary analyses included subjects having common medical disorders in 10 separate cohorts. Exposures were psychiatric morbidity categories identified using aggregated diagnosis groups (ADGs) from Johns Hopkins Adjusted Clinical Groups software® (v10.0); ADG 25: Persistent/Recurrent unstable conditions; e.g. acute schizophrenic episode, major depressive disorder (recurrent episode), ADG 24: Persistent/Recurrent stable conditions; e.g. depressive disorder, paranoid personality disorder, ADG 23: Time-limited/minor conditions; e.g. adjustment reaction with brief depressive reaction. The outcome was all-cause mortality (April 2014–March 2016). Results Over 2 years' follow-up, there were 188 014 deaths (1.7%). ADG 25 conferred an almost threefold excess mortality after adjustment compared to having no psychiatric morbidity [adjusted hazard ratio 2.94 (95% CI 2.91–2.98, p < 0.0001)]. Adjusted hazard ratios for ADG 24 and ADG 23 were 1.12 (95% CI 1.11–1.14, p < 0.0001) and 1.31 (95% CI 1.26–1.36, p < 0.0001). In all 10 medical disorder cohorts, ADG 25 carried significantly greater mortality risk compared to no psychiatric comorbidity. Conclusions Psychiatric disorders, particularly those graded persistent/recurrent and unstable, were associated with excess mortality in the whole population, and in the medical disorder cohorts examined. Future research should examine whether service design accounting for psychiatric disorder comorbidity improves outcomes across the spectrum of medical disorders.

BJPsych Open ◽  
2020 ◽  
Vol 6 (5) ◽  
Author(s):  
Luke Sheridan Rains ◽  
Scott Weich ◽  
Clementine Maddock ◽  
Shubulade Smith ◽  
Patrick Keown ◽  
...  

Background The steep rise in the rate of psychiatric hospital detentions in England is poorly understood. Aims To identify explanations for the rise in detentions in England since 1983; to test their plausibility and support from evidence; to develop an explanatory model for the rise in detentions. Method Hypotheses to explain the rise in detentions were identified from previous literature and stakeholder consultation. We explored associations between national indicators for potential explanatory variables and detention rates in an ecological study. Relevant research was scoped and the plausibility of each hypothesis was rated. Finally, a logic model was developed to illustrate likely contributory factors and pathways to the increase in detentions. Results Seventeen hypotheses related to social, service, legal and data-quality factors. Hypotheses supported by available evidence were: changes in legal approaches to patients without decision-making capacity but not actively objecting to admission; demographic changes; increasing psychiatric morbidity. Reductions in the availability or quality of community mental health services and changes in police practice may have contributed to the rise in detentions. Hypothesised factors not supported by evidence were: changes in community crisis care, compulsory community treatment and prescribing practice. Evidence was ambiguous or lacking for other explanations, including the impact of austerity measures and reductions in National Health Service in-patient bed numbers. Conclusions Better data are needed about the characteristics and service contexts of those detained. Our logic model highlights likely contributory factors to the rise in detentions in England, priorities for future research and potential policy targets for reducing detentions.


2020 ◽  
Author(s):  
Sophie Pilleron ◽  
Camille Maringe ◽  
Hadrien Charvat ◽  
June Atkinson ◽  
Eva JA Morris ◽  
...  

Objective: We described the role of patient-related and clinical factors on age disparities in colon cancer survival among patients aged 50-99 using New Zealand population-based cancer registry data linked to hospitalization data. Design: We included new colon cancer cases diagnosed between 1 January 2006 and 31 July 2017, followed up to 31 December 2019. We linked these cases to hospitalisation data for the five years before the cancer diagnosis. We modelled the effect of age at diagnosis, sex, deprivation, comorbidity, and route to diagnosis on colon cancer survival by stage at diagnosis (localized, regional, distant, missing). Results: Net survival decreased as the age at diagnosis increased, notably in advanced stages and missing stage. The excess mortality in older patients was minimal for localised cancers, maximal during the first six months for regional cancers, the first 18 months for distant cancers, and over the three years for missing stages. The age pattern of the excess mortality hazard varied according to sex for distant cancers, the route to diagnosis for regional and distant cancers, and comorbidity for cancer with missing stages. Conclusion: The present population-based study shows that factors reflecting timeliness of cancer diagnosis most affected the difference in survival between middle-aged and older patients, probably by impacting treatment strategy. Because of the high risk of poor outcomes related to treatment in older patients, efforts made to improve earlier diagnosis in older patients are likely to help reduce age disparities in colon cancer survival in New Zealand.


2011 ◽  
Vol 26 (S2) ◽  
pp. 1188-1188 ◽  
Author(s):  
D. Adamis ◽  
V. Papanikolaou ◽  
R.C. Mellon ◽  
G. Prodromitis

IntroductionPsychopathological disturbances are common in the aftermaths of a disaster. The consequences of these disorders can be long lasting. In August of 2007 an intense and destructive wildfire broke out in the Peloponnesus peninsula in Greece.ObjectivesTo investigate psychological and psychiatric morbidity in individuals who had experienced severe exposure to a wildfire disaster in a part of Greece and to indentify risk factors for the post disaster psychological problems.AimsTo investigate a broader spectrum of mid-term psychological and psychiatric morbidity in victims, to evaluate the proportion of psychopathology that could be accredited to the disaster, to estimate the association of losses with different psychological symptoms, to indentify risk factors for psychopathology.MethodsA Cross sectional case control study of adult population (18–65 years old). Data collected among others were demographic, Symptom Checklist 90-Revised for assessment of psychological difficulties, type and number of losses.ResultsThose damnified from the disaster scored significantly higher (p < 0.05) in the symptoms of somatisation, depression, anxiety, hostility, phobic anxiety, paranoia, and had significantly more symptoms (PST) and were more distressed by them (GSI) compared to controls. In addition risk factors for someone to be a psychiatric case were to be a victim from the fire, to have finished primary school, to be windowed and to have damages to his property.ConclusionsWildfires can cause considerable psychological symptoms in victims and there are reasons for public health policy makers to create services in order to help and improve the mental health of those affected.


2020 ◽  
pp. 088626052091259
Author(s):  
David Boyda ◽  
Danielle McFeeters ◽  
Katie Dhingra ◽  
Ian Kelleher

Subthreshold psychotic experiences (PEs) are known to confer a risk for suicidality. Yet, despite evidence of a strong etiological trauma–psychosis pathway, the coalesced effect of such concurrences on suicide risk is largely discounted. Our aims were to examine the impact of different manifestations of life span trauma and PEs on the risk of suicidal thoughts and attempts, using an exploratory person-centered approach. Data from the Adult Psychiatric Morbidity Survey ( N = 7,403) were analyzed. PEs were assessed using the Psychosis Screening Questionnaire (PSQ) alongside items probing childhood and adult trauma, in addition to 12-month suicide thoughts and attempt. A manual three-step latent class analysis elicited four distinct profiles, namely, a socially disconnected/high PE, a sexual victimization/moderate PE, a life span trauma/low PE, and a baseline class. The socially disconnected class, characterized by a moderate likelihood of social disconnection, a high probability of various PE endorsements, yet a low likelihood of other significant trauma, showed the greatest risk of 12-month suicide ideation (odds ratio [OR] = 13.0, 95% confidence interval [CI] = [8.539, 19.021) and attempt (OR = 24.2, 95% CI = [10.349, 56.860). Neither multiple nor recurrent traumatic experiences invariably result in the emergence of PEs. Instead, a sense of social disconnection may be either resultant of PEs or alone sufficient to cultivate such symptom presentations, even in the absence of prior traumas. Moreover, just as traumatic encounters increase the risk of suicidality, so too might seemingly more innocuous adversities, such as poor-quality social relationships, further elevate the risk, particularly when proximal and coupled with the simultaneity of PEs.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2534-2534
Author(s):  
Cecilia Radkiewicz ◽  
Johanna Borg Bruchfeld ◽  
Caroline Weibull ◽  
Mats Lambe ◽  
Lasse H. Jakobsen ◽  
...  

Abstract Introduction For most cancer types, cancer incidence as well as cancer-specific mortality is higher in men compared to women. The underlying reasons for this remain unclear but hypotheses include sex differences in environmental exposure to carcinogens, health-seeking behavior and biology, such as hormonal, anatomical, and molecular disparities. For lymphomas, the impact of sex seems to differ by subtype, treatment, and calendar time. For example, in Hodgkin lymphoma (HL), male sex has historically been considered an established negative prognostic factor but in contemporary studies, therapeutic advances appear to have attenuated the prognostic value of sex. In contrast, a negative impact of male sex on prognosis has become manifest during the last decades in patients with diffuse large B-cell lymphoma and follicular lymphoma, with sex differences in rituximab clearance in elderly proposed as one explanation. Previous studies have not considered the longer life expectancy of women when predicting incidence and prognosis, and comprehensive studies on the impact of sex on incidence and excess mortality in lymphomas are lacking. Therefore, we aimed to quantify and outline sex differences in lymphoma incidence and lymphoma excess mortality by subtype in a large, population-based cohort. Methods Adult patients diagnosed with lymphoma 2000-2019 were identified via the Swedish lymphoma register (&gt;95% national coverage). Sex-specific incidence rates were computed as the number of new cancer cases per 100,000 person-years/year and age-standardized to the Swedish population in 2019 (using population counts from Statistics Sweden). Male-to-female incidence rate ratios (IRRs) with 95% confidence intervals (CIs), adjusted for age and year of diagnosis, were estimated using Poisson regression models. Sex-specific 5-year relative survival was calculated as the ratio of the observed lymphoma patient and the matched (sex, age, and calendar year) population 5-year survival and age-standardized according to the International Cancer Survival Standards. Male-to-female 5-year excess mortality rate ratios (EMRR) including 95% CIs were estimated including age and calendar year in the Poisson regression models. Results A total of 36 859 patients with lymphoma were identified during the study period. Median age for all patients was 69 (range 16-99) years. In the whole cohort there was a male predominance of 56%. Distribution of patients by sex, and male-to-female IRR and EMRR adjusted for age and year of diagnosis by major lymphoma subtype are presented in Table 1, and graphically in Figure 1. Overall, significantly higher incidence rates among men were observed for all lymphoma subtypes except marginal zone lymphoma and primary mediastinal B-cell lymphoma. The higher male-to-female IRRs remained largely stable over calendar time. For some subtypes, male-to-female IRR differed by age. For example, in HL, male and female IRs were similar up to 35 years, whereafter the male-to-female IRR increased. For both Burkitt lymphoma and Nodular lymphocyte predominant Hodgkin lymphoma the higher male-to-female IRR was most pronounced among patients under the age of 50, although incidence was higher among men of all ages for both subtypes. Regarding survival, there was a trend for higher excess mortality among men for several subtypes (Table 1, Fig 1). Significantly higher EMRRs among male patients were seen in HL, aggressive lymphomas not otherwise specified, and small lymphocytic lymphoma. Conclusion In this large population-based study we observe a significantly higher incidence rate among men for all but two lymphoma subtypes. Further, there was a trend for worse survival among male lymphoma patients for most lymphomas although only significantly worse for three subtypes, potentially due to small numbers for rare subtypes and limited adjustment. As of yet, reasons for sex differences in incidence and excess mortality of lymphoma are unknown. Better understanding of underlying factors to these differences may improve management of lymphomas and increase knowledge of lymphoma biology and etiology. Thus, further studies on sex differences in lymphoma with detailed data regarding disease-specific patient characteristics, treatment and patient-related factors such as comorbidity and socioeconomic status are warranted. Figure 1 Figure 1. Disclosures Weibull: Jansen-Cilag: Other: part of a research collaboration between Karolinska Institutet and Janssen Pharmaceutica NV for which Karolinska Institutet has received grant support. El-Galaly: Abbvie: Other: Speakers fee; ROCHE Ltd: Ended employment in the past 24 months. Smedby: Jansen-Cilag: Other: part of a research collaboration between Karolinska Institutet and Janssen Pharmaceutica NV for which Karolinska Institutet has received grant support.


2015 ◽  
Vol 33 (5) ◽  
pp. 448-454 ◽  
Author(s):  
Anna Wikman ◽  
Rickard Ljung ◽  
Asif Johar ◽  
Ylva Hellstadius ◽  
Jesper Lagergren ◽  
...  

Purpose To determine the cumulative incidence of and risk factors for psychiatric morbidity and establish the impact on survival among surgically treated patients with esophageal cancer. Patients and Methods A nationwide Swedish cohort of 1,615 patients who underwent surgery for esophageal cancer between 1987 and 2010 with follow-up until 2012 was linked to national health registries for information on psychiatric morbidity (inferred from mental health care use). Multivariable logistic regressions were used to determine potential risk factors for postoperative psychiatric morbidity. A multivariable-adjusted Cox proportional hazard model was used to analyze overall survival. Results In patients without a history of psychiatric morbidity, the 2-year cumulative incidence for treatment in psychiatric in-patient care was 2.5%, for psychiatric out-patient care was 4.2%, and for treatment with psychotropic drugs was 32.3%. Married patients were less likely to be treated postoperatively in psychiatric in-patient care (odds ratio [OR], 0.42; 95% CI, 0.22 to 0.80) or out-patient care (OR, 0.41; 95% CI, 0.17 to 1.02), whereas patients with higher tumor stage were more likely to be treated in psychiatric out-patient care (OR, 4.99; 95% CI, 1.16 to 21.38) or with psychotropic drugs (OR, 2.78; 95% CI, 1.10 to 7.01). Bearing in mind possible residual confounding, new-onset psychiatric morbidity was associated with mortality (hazard ratio [HR], 1.65 [95% CI, 1.17 to 2.33] for treatment in psychiatric in-patient care; HR, 1.93 [95% CI, 1.18 to 3.16] for treatment in psychiatric out-patient care; and HR, 2.77 [95% CI, 1.72 to 4.44] for treatment with psychotropic drugs). Conclusion These results highlight the importance of recognizing and addressing psychiatric morbidity in surgically treated patients with esophageal cancer.


2020 ◽  
Vol 32 (S1) ◽  
pp. 87-87

Presenting author:Prof.dr. Richard C. Oude Voshaar, University of Groningen, The Netherlands ([email protected])Co-author:Prof.dr. Ivan Aprahamian, Faculty of Medicine of Jundiaí, Brazil ([email protected])Depressive disorder has been conceptualised as a disorder of accelerated ageing. Furthermore, meta - analyses have shown that depression associated with excess mortality, although most studies can be criticised for insufficient confounder control. These characteristics of depression resemble the characteristics of biomedical frailty. Biomedical frailty can be assessed with the frailty index (FI) based on the deficit accumulation model. This model postulates that the proportion of at least 30 ageing-related health deficits reflects biological age on top of chronological age. The characteristics of the FI are independent of the specific health deficits included, as long as health deficits from different physiological systems are included. The FI is the most accurate frailty model for predicting mortality, the ultimate outcome of increasing frailty states. Because of its continuous nature, the FI is sensitive to change which enables us to study trajectories of frailty.The objective of the present lecture is 1) to show that depressive disorder associated with accelerated biological ageing as indexed by the frailty index, 2) that depressive disorder is a risk factor for excess mortality, and 3) to show that this latter explanation is largely explain by biomedical frailty.The Netherlands Study of Depression in Older persons (NESDO) is a clinical cohort of 378 depressed patients according to DSM-IV criteria and 132 non-depressed controls who have been followed up for six-year. The data of this cohort study enabled us to construct a frailty index based on 41 non-depression related health deficits. Linear mixed models showed that the frailty index had a significantly steeper increase over six years among depressed patients compared to their non-depressed counterparts.Subsequently, we constructed a frailty index based on 64 health deficits in the LifeLines cohort study, a three-generation population-based study including 167,000 persons. In this population-based cohort, we replicated our finding that the presence of a depressive disorder according to DSM-IV criteria, but also anxiety disorders, were associated with an accelerated increase of the frailty index over a 5-year follow-up. Furthermore, Cox-regression showed that the presence of a depressive disorder or any anxiety disorder was also associated with excess mortality over a 10-year follow-up. These effects remained significant when adjusted for socio-demographic characteristics, lifestyle variables and multimorbidity, but disappeared when adjusted for the frailty index.We conclude that depressive disorder can indeed be conceptualised as a disorder of accelerated biological ageing, as indexed by the frailty index. Moreover, biomedical frailty may be an explanatory factor for excess mortality found to be associated with affective disorders. Therefore, biomedical frailty seems a promising marker for risk stratification in geriatric psychiatry.


2021 ◽  
pp. 070674372110118
Author(s):  
Martin Rotenberg ◽  
Andrew Tuck ◽  
Kelly K. Anderson ◽  
Kwame McKenzie

Background: There is limited Canadian evidence on the impact of socio-environmental factors on psychosis risk. We sought to examine the relationship between area-level indicators of marginalization and the incidence of psychotic disorders in Ontario. Methods: We conducted a retrospective cohort study of all people aged 14 to 40 years living in Ontario in 1999 using health administrative data and identified incident cases of psychotic disorders over a 10-year follow-up period. Age-standardized incidence rates were estimated for census metropolitan areas (CMAs). Poisson regression models adjusting for age and sex were used to calculate incidence rate ratios (IRRs) based on CMA and area-level marginalization indices. Results: There is variation in the incidence of psychotic disorders across the CMAs. Our findings suggest a higher rate of psychotic disorders in areas with the highest levels of residential instability (IRR = 1.26, 95% confidence interval [CI], 1.18 to 1.35), material deprivation (IRR = 1.30, 95% CI, 1.16 to 1.45), ethnic concentration (IRR = 1.61, 95% CI, 1.38 to 1.89), and dependency (IRR = 1.35, 95% CI, 1.18 to 1.54) when compared to areas with the lowest levels of marginalization. Marginalization attenuates the risk in some CMAs. Conclusions: There is geographic variation in the incidence of psychotic disorders across the province of Ontario. Areas with greater levels of marginalization have a higher incidence of psychotic disorders, and marginalization attenuates the differences in risk across geographic location. With further study, replication, and the use of the most up-to-date data, a case may be made to consider social policy interventions as preventative measures and to direct services to areas with the highest risk. Future research should examine how marginalization may interact with other social factors including ethnicity and immigration.


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