scholarly journals Exploration of morbidity, suicide and all-cause mortality in a Scottish forensic cohort over 20 years

BJPsych Open ◽  
2020 ◽  
Vol 6 (4) ◽  
Author(s):  
Cheryl Rees ◽  
Lindsay Thomson
Keyword(s):  
Cox Regression ◽  
Premature Mortality ◽  
Premature Death ◽  
Mortality Data ◽  
Data Sets ◽  
All Cause Mortality ◽  
Standardised Mortality Ratios ◽  
Forensic Care ◽  
Health And Mortality

Background Premature mortality among patients experiencing forensic care is high. This paper examines the morbidity and mortality of all Scottish high secure patients in 1992/1993 and followed up 20 years later through the context of recovery. Aims To explore morbidity and delineate which patients are at greatest risk of premature mortality. To assess the extent of suicide and unnatural deaths. To establish which factors, if any, appear protective. Method Health and mortality data were extracted from national data-sets and death categorised as premature or post-expected age. Standardised mortality ratios were calculated to explore natural, unnatural and suicide deaths with Cox regression conducted to explore baseline demographics and premature death. Results During a mean follow-up of 21.1 years, 36.9% (n = 89) died, at an average age of 55.6 years. Of these, 70.8% (n = 63) died prematurely. Men lost on average 14.9 years and women 24.1 years of potential life. Five lives (5.6%) were lost by suicide and three (3.4%) by unnatural means. Conclusions In contrast to other mainstream and forensic cohorts, high rates of suicide and accidental deaths were not apparent. Risk of premature mortality is high. A greater focus upon physical health by community and in-patient services is essential.

scholarly journals Predictors of three-month mortality among hospitalized older adults in Togo

2020 ◽  
Author(s):  
Fifonsi Adjidossi GBEASOR-KOMLANVI ◽  
Martin Kouame TCHANKONI ◽  
Akila Wimima BAKOUBAYI ◽  
Matthieu Yaovi LOKOSSOU ◽  
Arnold SADIO ◽  
...  
Keyword(s):  
Older Adults ◽  
Hospital Mortality ◽  
Cox Regression ◽  
Sub Saharan Africa ◽  
Mortality Data ◽  
Kaplan Meier ◽  
All Cause Mortality ◽  
Hospitalized Older Adults ◽  
Sub Saharan

Abstract Background: Assessing hospital mortality and its predictors is important as some of these can be prevented through appropriate interventions. Few studies have reported hospital mortality data among older adults in sub-Saharan Africa. The objective of this study was to assess the mortality and associated factors among hospitalized older adults in Togo.Methods: We conducted a prospective cohort study from February 2018 to September 2019 among patients ≥50 years admitted in medical and surgical services of six hospitals in Togo. Data were recorded during hospitalization and through telephone follow-up survey within 90 days after admission. The main outcome was all-cause mortality at 3 months. Survival curves were estimated using the Kaplan-Meier method and Cox regression analyses were performed to assess predictors of mortality.Results: The median age of the 650 older adults included in the study period was 61 years, IQR: [55-70] and at least one comorbidity was identified in 59.7% of them. The all-cause mortality rate of 17.2% (95%CI: 14.4-20.4) and the majority of death (93.7%) occurred in hospital. Overall survival rate was 85.5% and 82.8% after 30 and 90 days of follow-up, respectively. Factors associated with 3-month mortality were the hospital level in the health pyramid, hospitalization service, length of stay, functional impairment, depression and malignant diseases.Conclusion: Togolese health system needs to adjust its response to an aging population in order to provide the most effective care.

scholarly journals Ultrafiltration rate and diabetes as useful indicators of cardiovascular-related death in hemodialysis patients below 60 years of age

2017 ◽  
Vol 71 (0) ◽  
pp. 0-0
Author(s):  
Marcin Krzanowski ◽  
Katarzyna Krzanowska ◽  
Artur Dziewierz ◽  
Małgorzata Banaszkiewicz ◽  
Artur Jurczyszyn ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Mortality Data ◽  
Cox Regression Analysis ◽  
Time To Death ◽  
All Cause Mortality ◽  
Dm Type 2 ◽  
Related Mortality

Background: The survival rate of elderly hemodialyzed (HD) patients is commonly thought to be poor. In a prospective, single center, non-interventional, observational study, the cause of all-cause and cardiovascular (CV) and heart failure (HF) mortality in this patient group were examined and compared with a younger cohort (below 60 years). Material/Methods: The study included 223 patients (90 women and 133 men) with age ranging from 34.5 to 75.0 years treated with HD. Median duration of HD was 70.0 months (24.0-120.0). Mortality data was collected over a period of six years. We divided patients into groups: <60 (n=123), ≥60 years (n=100), and with (n=33) and without DM type 2 (n=190). Results: During a six-year follow-up, 100 patients (44.8%) died, including 83 (37.2%) patients who died due to CV reasons. Median follow-up was 2015.0 days (946.0-2463.0) with the median time to death of 1166.0 days (654.5-1631.0). The factors negatively affecting patients’ survival in univariate Cox regression analysis included for all-cause mortality were: inter-dialytic weight gain (IDWG) (hazard ratio [HR]=1.60; p=0.01), ultrafiltration (UF) rate (HR=3.63; p=0.012) for group <60 years; for CV death: UF rate (HR=4.20; p=0.03), DM (HR=5.11; p=0.002) for group <60 years; for HF death: mellitus type 2 (DM) (HR=2.93; p=0.027) for group ≥60 years). In a multivariate Cox regression analysis for patients <60 years, the UF rate was the only independent predictor of all-cause mortality (HR 3.63 (1.34-9.67); p=0.011). Both DM (HR 4.91 (1.71-14.10); p=0.003) and UF rate (HR 3.62 (1.04-12.61); p=0.044) were independent predictors of CV-related mortality in patients <60 years. Conclusions: The UF rate can be a simple, useful indicator of higher long-term all-cause and CV mortality in HD patients <60 years of age. Also, DM may be a predictor of CV–related mortality in younger HD patients.

scholarly journals Cardiovascular and all-cause mortality attributable to loneliness in older Swedish men and women.

2020 ◽  
Author(s):  
Masuma Novak ◽  
Margda waern ◽  
Lena Johansson ◽  
Anna Zettergren ◽  
Lina Ryden ◽  
...  
Keyword(s):  
Cardiovascular Mortality ◽  
Cox Regression ◽  
Mortality Data ◽  
Men And Women ◽  
Face To Face ◽  
Risk Of Mortality ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Adjusted Model

Abstract Background. This study examined whether loneliness predicts cardiovascular- and all-cause mortality in older men and women. Methods. Baseline data from the Gothenburg H70 Birth Cohort Studies, collected during 2000 on 70-year-olds born 1930 and living in Gothenburg were used for analysis (n=524). Mortality data were analyzed until 2012 through Swedish national registers. Results. Perceived loneliness was reported by 17.1% of the men and 30.9% of the women in a face-to-face interview with mental health professional. A total of 142 participants died during the 12-year follow-up period, with 5 334 person-years at risk, corresponding to 26.6 deaths/1000 person-years. Cardiovascular disease accounted for 59.2% of all deaths. The cumulative rates/1000 person-years for cardiovascular mortality were 20.8 (men) and 11.5 (women), and for all-cause mortality 33.8 (men) and 20.5 (women), respectively. In Cox regression models, no significant increased risk of mortality was seen for men with loneliness compared to men without loneliness (cardiovascular mortality HR 1.52, 95% CI 0.78 - 2.96; all-cause HR 1.32, 95% CI 0.77 - 2.28). Increased risk of cardiovascular mortality was observed in women with loneliness compared to those without (HR 2.25 95% CI 1.14 - 4.45), and the risk remained significant in a multivariable-adjusted model (HR 2.42 95% CI 1.04 - 5.65). Conclusions. Loneliness was shown to be an independent predictor of cardiovascular mortality in women. We found no evidence to indicate that loneliness was associated with an increased risk of either cardiovascular- or all-cause mortality in men.

scholarly journals Cardiovascular and all-cause mortality attributable to loneliness in older Swedish men and women

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Masuma Novak ◽  
Margda Waern ◽  
Lena Johansson ◽  
Anna Zettergren ◽  
Lina Ryden ◽  
...  
Keyword(s):  
Cardiovascular Mortality ◽  
Cox Regression ◽  
Mortality Data ◽  
Men And Women ◽  
Face To Face ◽  
Risk Of Mortality ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Adjusted Model

Abstract Background This study examined whether loneliness predicts cardiovascular- and all-cause mortality in older men and women. Methods Baseline data from the Gothenburg H70 Birth Cohort Studies, collected during 2000 on 70-year-olds born 1930 and living in Gothenburg were used for analysis (n = 524). Mortality data were analyzed until 2012 through Swedish national registers. Results Perceived loneliness was reported by 17.1% of the men and 30.9% of the women in a face-to-face interview with mental health professional. A total of 142 participants died during the 12-year follow-up period, with 5334 person-years at risk, corresponding to 26.6 deaths/1000 person-years. Cardiovascular disease accounted for 59.2% of all deaths. The cumulative rates/1000 person-years for cardiovascular mortality were 20.8 (men) and 11.5 (women), and for all-cause mortality 33.8 (men) and 20.5 (women), respectively. In Cox regression models, no significant increased risk of mortality was seen for men with loneliness compared to men without loneliness (cardiovascular mortality HR 1.52, 95% CI 0.78–2.96; all-cause HR 1.32, 95% CI 0.77–2.28). Increased risk of cardiovascular mortality was observed in women with loneliness compared to those without (HR 2.25 95% CI 1.14–4.45), and the risk remained significant in a multivariable-adjusted model (HR 2.42 95% CI 1.04–5.65). Conclusions Loneliness was shown to be an independent predictor of cardiovascular mortality in women. We found no evidence to indicate that loneliness was associated with an increased risk of either cardiovascular- or all-cause mortality in men.

scholarly journals Epicardial adipose tissue radiodensity is associated with all-cause mortality in patients undergoing hemodialysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Seong Soon Kwon ◽  
Kyoungjin Choi ◽  
Bo Da Nam ◽  
Haekyung Lee ◽  
Nam-Jun Cho ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Cox Regression ◽  
Epicardial Adipose Tissue ◽  
Multivariable Analysis ◽  
Maintenance Hemodialysis ◽  
Mortality Data ◽  
Coronary Cta ◽  
All Cause Mortality

AbstractThe radiodensity and volume of epicardial adipose tissue (EAT) on computed tomography angiography (CTA) may provide information regarding cardiovascular risk and long-term outcomes. EAT volume is associated with mortality in patients undergoing incident hemodialysis. However, the relationship between EAT radiodensity/volume and all-cause mortality in patients with end-stage renal disease (ESRD) undergoing maintenance hemodialysis remains elusive. In this retrospective study, EAT radiodensity (in Hounsfield units) and volume (in cm3) on coronary CTA were quantified for patients with ESRD using automatic, quantitative measurement software between January 2012 and December 2018. All-cause mortality data (up to December 2019) were obtained from the Korean National Statistical Office. The prognostic values of EAT radiodensity and volume for predicting long-term mortality were assessed using multivariable Cox regression models, which were adjusted for potential confounders. A total of 221 patients (mean age: 64.88 ± 11.09 years; 114 women and 107 men) with ESRD were included. The median follow-up duration (interquartile range) after coronary CTA was 29.63 (range 16.67–44.7) months. During follow-up, 82 (37.1%) deaths occurred. In the multivariable analysis, EAT radiodensity (hazard ratio [HR] 1.055; 95% confidence interval [CI] 1.015–1.095; p = 0.006) was an independent predictor of all-cause mortality in patients with ESRD. However, EAT volume was not associated with mortality. Higher EAT radiodensity on CTA is associated with higher long-term all-cause mortality in patients undergoing prevalent hemodialysis, highlighting its potential as a prognostic imaging biomarker in patients undergoing hemodialysis.

Long-Term Prognostic Value of Coronary Atherosclerotic Plaque Characteristics Assessed by Computerized Tomographic Angiography

Angiology ◽  
2020 ◽  
pp. 000331972096367
Author(s):  
Ahmet Hakan Ateş ◽  
Hikmet Yorgun ◽  
Uğur Canpolat ◽  
Ergun Baris Kaya ◽  
Levent Şahiner ◽  
...  
Keyword(s):  
Atherosclerotic Plaque ◽  
Cox Regression ◽  
Mortality Data ◽  
Coronary Cta ◽  
Cox Regression Analysis ◽  
All Cause Mortality ◽  
Coronary Atherosclerotic Plaque ◽  
Patients At Risk

We aimed to present the long-term prognostic role of coronary computed tomography angiography (CTA) in a cohort of patients with coronary artery disease (CAD) and noncritical stenosis. A total of 1138 patients who underwent coronary CTA for suspected CAD were included in the study. For the categorization of the coronary atherosclerotic plaque (CAP), the coronary system was divided into 16 segments. For each segment, CAPs were categorized as calcified, noncalcified, and mixed. All-cause and cardiovascular (CV) mortality data were collected for prognostic evaluation. Coronary CTA analyses showed that 34.5% of patients had noncalcified CAP, 14.5% of patients had calcified CAP, and 11% of patients had mixed CAP. During a median of 141.5 months follow-up, CV and all-cause mortality was observed in 57 (5%) and 149 (13.1%) patients, respectively. In multivariable Cox regression analysis, calcified CAP morphology and the extent of involved segments were significant predictors of both CV and all-cause mortality. The presence of calcified CAP morphology and the higher number of diseased coronary segments via coronary CTA might help stratify patients at risk for adverse CV outcomes during long-term follow-up. Patients with these features at index coronary CTA may be evaluated more closely with aggressive preventive measures.

scholarly journals Predictors of three-month mortality among hospitalized older adults in Togo

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Fifonsi Adjidossi Gbeasor-Komlanvi ◽  
Martin Kouame Tchankoni ◽  
Akila Wimima Bakoubayi ◽  
Matthieu Yaovi Lokossou ◽  
Arnold Sadio ◽  
...  
Keyword(s):  
Older Adults ◽  
Hospital Mortality ◽  
Cox Regression ◽  
Sub Saharan Africa ◽  
Mortality Data ◽  
Kaplan Meier ◽  
All Cause Mortality ◽  
Hospitalized Older Adults ◽  
Sub Saharan

Abstract Background Assessing hospital mortality and its predictors is important as some of these can be prevented through appropriate interventions. Few studies have reported hospital mortality data among older adults in sub-Saharan Africa. The objective of this study was to assess the mortality and associated factors among hospitalized older adults in Togo. Methods We conducted a prospective cohort study from February 2018 to September 2019 among patients ≥50 years admitted in medical and surgical services of six hospitals in Togo. Data were recorded during hospitalization and through telephone follow-up survey within 90 days after admission. The main outcome was all-cause mortality at 3 months. Survival curves were estimated using the Kaplan-Meier method and Cox regression analyses were performed to assess predictors of mortality. Results The median age of the 650 older adults included in the study period was 61 years, IQR: [55–70] and at least one comorbidity was identified in 59.7% of them. The all-cause mortality rate of 17.2% (95%CI: 14.4–20.4) and the majority of death (93.7%) occurred in hospital. Overall survival rate was 85.5 and 82.8% after 30 and 90 days of follow-up, respectively. Factors associated with 3-month mortality were the hospital level in the health pyramid, hospitalization service, length of stay, functional impairment, depression and malignant diseases. Conclusion Togolese health system needs to adjust its response to an aging population in order to provide the most effective care.

scholarly journals Epicardial Adipose Tissue Radiodensity Is Associated With All-cause Mortality in Patients Undergoing Hemodialysis

2021 ◽  
Author(s):  
Seong Soon Kwon ◽  
Kyoungjin Choi ◽  
Bo Da Nam ◽  
Haekyung Lee ◽  
Nam-Jun Cho ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Cox Regression ◽  
Epicardial Adipose Tissue ◽  
Multivariable Analysis ◽  
Maintenance Hemodialysis ◽  
Mortality Data ◽  
Coronary Cta ◽  
All Cause Mortality

Abstract The radiodensity and volume of epicardial adipose tissue (EAT) on computed tomography angiography (CTA) may provide information regarding cardiovascular risk and long-term outcomes. EAT volume is associated with mortality in patients undergoing incident hemodialysis. However, the relationship between EAT radiodensity/volume and all-cause mortality in patients with end-stage renal disease (ESRD) undergoing maintenance hemodialysis remains elusive. In this retrospective study, EAT radiodensity (in Hounsfield units) and volume (in cm3) on coronary CTA were quantified for patients with ESRD using automatic, quantitative measurement software between January 2012 and December 2018. All-cause mortality data (up to December 2019) were obtained from the Korean National Statistical Office. The prognostic values of EAT radiodensity and volume for predicting long-term mortality were assessed using multivariable Cox regression models, which were adjusted for potential confounders. A total of 221 patients (mean age: 64.88 ± 11.09 years; 114 women and 107 men) with ESRD were included. The median follow-up duration (interquartile range) after coronary CTA was 29.63 (range: 16.67–44.7) months. During follow-up, 82 (37.1%) deaths occurred. In the multivariable analysis, EAT radiodensity (hazard ratio [HR]: 1.055; 95% confidence interval [CI]: 1.015–1.095; p = 0.006) was an independent predictor of all-cause mortality in patients with ESRD. However, EAT volume was not associated with mortality. Higher EAT radiodensity on CTA is associated with higher long-term all-cause mortality in patients undergoing prevalent hemodialysis, highlighting its potential as a prognostic imaging biomarker in patients undergoing hemodialysis.

scholarly journals Predictors of three-month mortality among hospitalized older adults in Togo

2020 ◽  
Author(s):  
Fifonsi Adjidossi GBEASOR-KOMLANVI ◽  
Martin Kouame TCHANKONI ◽  
Akila Wimima BAKOUBAYI ◽  
Matthieu Yaovi LOKOSSOU ◽  
Arnold SADIO ◽  
...  
Keyword(s):  
Older Adults ◽  
Hospital Mortality ◽  
Cox Regression ◽  
Sub Saharan Africa ◽  
Mortality Data ◽  
Kaplan Meier ◽  
All Cause Mortality ◽  
Hospitalized Older Adults ◽  
Sub Saharan

Abstract Background: Assessing hospital mortality and its predictors is important as some of these can be prevented through appropriate interventions. Few studies have reported hospital mortality data among older adults in sub-Saharan Africa. The objective of this study was to assess the mortality and associated factors among hospitalized older adults in Togo.Methods: We conducted a prospective cohort study from February 2018 to September 2019 among patients ≥50 years admitted in medical and surgical services of six hospitals in Togo. Data were recorded during hospitalization and through telephone follow-up survey within 90 days after admission. The main outcome was all-cause mortality at 3 months. Survival curves were estimated using the Kaplan-Meier method and Cox regression analyses were performed to assess predictors of mortality.Results: The median age of the 650 older adults included in the study period was 61 years, IQR: [55-70] and at least one comorbidity was identified in 59.7% of them. The all-cause mortality rate of 17.2% (95%CI: 14.4-20.4) and the majority of death (93.7%) occurred in hospital. Overall survival rate was 85.5% and 82.8% after 30 and 90 days of follow-up, respectively. Factors associated with 3-month mortality were the hospital level in the health pyramid, hospitalization service, length of stay, functional impairment, depression and malignant diseases.Conclusion: Togolese health system needs to adjust its response to an aging population in order to provide the most effective care.

scholarly journals Association of BMI with risk of CVD mortality and all-cause mortality

2017 ◽  
Vol 20 (7) ◽  
pp. 1226-1234 ◽  
Author(s):  
Chee Cheong Kee ◽  
Mohd Ghazali Sumarni ◽  
Kuang Hock Lim ◽  
Sharmini Selvarajah ◽  
Jamaiyah Haniff ◽  
...  
Keyword(s):  
Dietary Habits ◽  
Cox Regression ◽  
Population Based ◽  
Mortality Data ◽  
Positive Trend ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Never Smokers ◽  
Cvd Mortality

AbstractObjectiveTo determine the relationship between BMI and risk of CVD mortality and all-cause mortality among Malaysian adults.DesignPopulation-based, retrospective cohort study. Participants were followed up for 5 years from 2006 to 2010. Mortality data were obtained via record linkages with the Malaysian National Registration Department. Multiple Cox regression was applied to compare risk of CVD and all-cause mortality between BMI categories adjusting for age, gender and ethnicity. Models were generated for all participants, all participants the first 2 years of follow-up, healthy participants, healthy never smokers, never smokers, current smokers and former smokers.SettingAll fourteen states in Malaysia.SubjectsMalaysian adults (n 32 839) aged 18 years or above from the third National Health and Morbidity Survey.ResultsTotal follow-up time was 153 814 person-years with 1035 deaths from all causes and 225 deaths from CVD. Underweight (BMI<18·5 kg/m2) was associated with a significantly increased risk of all-cause mortality, while obesity (BMI ≥30·0 kg/m2) was associated with a heightened risk of CVD mortality. Overweight (BMI=25·0–29·9 kg/m2) was inversely associated with risk of all-cause mortality. Underweight was significantly associated with all-cause mortality in all models except for current smokers. Overweight was inversely associated with all-cause mortality in all participants. Although a positive trend was observed between BMI and CVD mortality in all participants, a significant association was observed only for severe obesity (BMI≥35·0 kg/m2).ConclusionsUnderweight was associated with increased risk of all-cause mortality and obesity with increased risk of CVD mortality. Therefore, maintaining a normal BMI through leading an active lifestyle and healthy dietary habits should continue to be promoted.

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