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

2021 ◽  
Author(s):  
Joe Kwun Nam Chan ◽  
Corine Sau Man Wong ◽  
Nicholas Chak Lam Yung ◽  
Eric Yu Hai Chen ◽  
Wing Chung Chang
Keyword(s):  
Cohort Study ◽  
Excess Mortality ◽  
Population Based ◽  
Physical Morbidity

scholarly journals Correction: Excess mortality and hospitalizations in transitional-age youths with a long-term disease: A national population-based cohort study

PLoS ONE ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. e0195926
Author(s):  
Antoine Rachas ◽  
Philippe Tuppin ◽  
Laurence Meyer ◽  
Bruno Falissard ◽  
Albert Faye ◽  
...  
Keyword(s):  
Cohort Study ◽  
Excess Mortality ◽  
Population Based ◽  
National Population ◽  
Transitional Age

scholarly journals Excess mortality following hip fracture in patients with diabetes according to age: a nationwide population-based cohort study of 154,047 hip fracture patients

2019 ◽  
Vol 48 (4) ◽  
pp. 559-563 ◽  
Author(s):  
Christian M Madsen ◽  
Christopher Jantzen ◽  
Debbie Norring-Agerskov ◽  
Fie J Vojdeman ◽  
Bo Abrahamsen ◽  
...  
Keyword(s):  
Cohort Study ◽  
Hip Fracture ◽  
Excess Mortality ◽  
Population Based ◽  
Patients With Diabetes

scholarly journals Excess mortality associated with eating disorders: population-based cohort study

2020 ◽  
pp. 1-7
Author(s):  
Tomisin Iwajomo ◽  
Susan J. Bondy ◽  
Claire de Oliveira ◽  
Patricia Colton ◽  
Kathryn Trottier ◽  
...  
Keyword(s):  
Eating Disorders ◽  
Anorexia Nervosa ◽  
Cohort Study ◽  
Eating Disorder ◽  
Mortality Risk ◽  
Excess Mortality ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Years Of Life Lost ◽  
All Cause Mortality

Background Individuals with eating disorders have a high mortality risk. Few population-based studies have estimated this risk in eating disorders other than anorexia nervosa. Aims To investigate all-cause mortality in a population-based cohort of individuals who received hospital-based care for an eating disorder (anorexia nervosa, bulimia nervosa or eating disorder not otherwise specified) in Ontario, Canada. Method We conducted a retrospective cohort study of 19 041 individuals with an eating disorder from 1 January 1990 to 31 December 2013 using administrative healthcare data. The outcome of interest was death. Excess mortality was assessed using standardised mortality ratios (SMRs) and potential years of life lost (PYLL). Cox proportional hazards regression models were used to examine sociodemographic and medical comorbidities associated with greater mortality risk. Results The cohort had 17 108 females (89.9%) and 1933 males (10.1%). The all-cause mortality for the entire cohort was five times higher than expected compared with the Ontario population (SMR = 5.06; 95% CI 4.82–5.30). SMRs were higher for males (SMR = 7.24; 95% CI 6.58–7.96) relative to females (SMR = 4.59; 95% CI 4.34–4.85) overall, and in all age groups in the cohort. For both genders, the cohort PYLL was more than six times higher than the expected PYLL in the Ontario population. Conclusions Patients with eating disorders diagnosed in hospital settings experience five to seven times higher mortality rates compared with the overall population. There is an urgent need to understand the mortality risk factors to improve health outcomes among individuals with eating disorders.

Excess Mortality Among Hospitalized Patients With Hypopituitarism—A Population-Based, Matched-Cohort Study

2020 ◽  
Vol 105 (11) ◽  
Author(s):  
Fahim Ebrahimi ◽  
Alexander Kutz ◽  
Ulrich Wagner ◽  
Ben Illigens ◽  
Timo Siepmann ◽  
...  
Keyword(s):  
Cohort Study ◽  
Hospital Mortality ◽  
Clinical Outcomes ◽  
Excess Mortality ◽  
Population Based ◽  
Hospitalized Patients ◽  
Matched Cohort ◽  
Prolonged Length ◽  
Matched Cohort Study ◽  
Increased Risk

Abstract Context Patients with hypopituitarism face excess mortality in the long-term outpatient setting. However, associations of pituitary dysfunction with outcomes in acutely hospitalized patients are lacking. Objective The objective of this work is to assess clinical outcomes of hospitalized patients with hypopituitarism with or without diabetes insipidus (DI). Design, Setting, and Patients In this population-based, matched-cohort study from 2012 to 2017, hospitalized adult patients with a history of hypopituitarism were 1:1 propensity score–matched with a general medical inpatient cohort. Main Outcome Measures The primary outcome was in-hospital mortality. Secondary outcomes included all-cause readmission rates within 30 days and 1 year, intensive care unit (ICU) admission rates, and length of hospital stay. Results After matching, 6764 cases were included in the study. In total, 3382 patients had hypopituitarism and of those 807 (24%) suffered from DI. All-cause in-hospital mortality occurred in 198 (5.9%) of patients with hypopituitarism and in 164 (4.9%) of matched controls (odds ratio [OR] 1.32, [95% CI, 1.06-1.65], P = .013). Increased mortality was primarily observed in patients with DI (OR 3.69 [95% CI, 2.44-5.58], P < .001). Patients with hypopituitarism had higher ICU admissions (OR 1.50 [95% CI, 1.30-1.74], P < .001), and faced a 2.4-day prolonged length of hospitalization (95% CI, 1.94–2.95, P < .001) compared to matched controls. Risk of 30-day (OR 1.31 [95% CI, 1.13-1.51], P < .001) and 1-year readmission (OR 1.29 [95% CI, 1.17-1.42], P < .001) was higher among patients with hypopituitarism as compared with medical controls. Conclusions Patients with hypopituitarism are highly vulnerable once hospitalized for acute medical conditions with increased risk of mortality and adverse clinical outcomes. This was most pronounced among those with DI.

scholarly journals Long-term excess mortality associated with diabetes following acute myocardial infarction: a population-based cohort study

2016 ◽  
Vol 71 (1) ◽  
pp. 25-32 ◽  
Author(s):  
O A Alabas ◽  
M Hall ◽  
T B Dondo ◽  
M J Rutherford ◽  
A D Timmis ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Cohort Study ◽  
Excess Mortality ◽  
Population Based

scholarly journals Excess Mortality and Long-Term Disability from Healthcare-Associated Staphylococcus aureus Infections: A Population-Based Matched Cohort Study

PLoS ONE ◽  
2013 ◽  
Vol 8 (8) ◽  
pp. e71055 ◽  
Author(s):  
Chiu-Hsia Su ◽  
Shan-Chwen Chang ◽  
Jer-Jea Yan ◽  
Shu-Hui Tseng ◽  
Li-Jung Chien ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Cohort Study ◽  
Excess Mortality ◽  
Population Based ◽  
Matched Cohort ◽  
Matched Cohort Study ◽  
Healthcare Associated

scholarly journals 328 - Depression as a disorder of accelerated ageing

2020 ◽  
Vol 32 (S1) ◽  
pp. 87-87
Keyword(s):  
Cohort Study ◽  
Depressive Disorder ◽  
Excess Mortality ◽  
Frailty Index ◽  
Population Based ◽  
Accelerated Ageing ◽  
List Type ◽  
Biological Ageing ◽  
Dsm Iv

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.

scholarly journals Excess mortality and life-years lost in people with bipolar disorder: an 11-year population-based cohort study

2021 ◽  
Vol 30 ◽  
Author(s):  
J. K. N. Chan ◽  
C. S. M. Wong ◽  
N. C. L. Yung ◽  
E. Y. H. Chen ◽  
W. C. Chang
Keyword(s):  
Bipolar Disorder ◽  
Cohort Study ◽  
General Population ◽  
Excess Mortality ◽  
Premature Mortality ◽  
Population Based ◽  
Targeted Interventions ◽  
Life Years ◽  
Life Years Lost ◽  
Over Time

Abstract Aims Bipolar disorder is associated with premature mortality, but evidence is mostly derived from Western countries. There has been no research evaluating shortened lifespan in bipolar disorder using life-years lost (LYLs), which is a recently developed mortality metric taking into account illness onset for life expectancy estimation. The current study aimed to examine the extent of premature mortality in bipolar disorder patients relative to the general population in Hong Kong (HK) in terms of standardised mortality ratio (SMR) and excess LYLs, and changes of mortality rate over time. Methods This population-based cohort study investigated excess mortality in 12 556 bipolar disorder patients between 2008 and 2018, by estimating all-cause and cause-specific SMRs, and LYLs. Trends in annual SMRs over the 11-year study period were assessed. Study data were retrieved from a territory-wide medical-record database of HK public healthcare services. Results Patients had higher all-cause [SMR: 2.60 (95% CI: 2.45–2.76)], natural-cause [SMR: 1.90 (95% CI: 1.76–2.05)] and unnatural-cause [SMR: 8.63 (95% CI: 7.34–10.03)] mortality rates than the general population. Respiratory diseases, cardiovascular diseases and cancers accounted for the majority of deaths. Men and women with bipolar disorder had 6.78 (95% CI: 6.00–7.84) years and 7.35 (95% CI: 6.75–8.06) years of excess LYLs, respectively. The overall mortality gap remained similar over time, albeit slightly improved in men with bipolar disorder. Conclusions Bipolar disorder is associated with increased premature mortality and substantially reduced lifespan in a predominantly Chinese population, with excess deaths mainly attributed to natural causes. Persistent mortality gap underscores an urgent need for targeted interventions to improve physical health of patients with bipolar disorder.

Sign in / Sign up

Export Citation Format

Share Document