To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
The current study aims to assess associations between trimethylamine N-oxide (TMAO) levels and mortality, and to investigate modification effects of genetics. A total of 500 participants from a family-based cohort study were enrolled from 2005 to 2017 and followed up until 2020 in Fangshan District, Beijing, China. Serum TMAO levels were measured using the enzyme-linked immunosorbent assay (ELISA) kit. The primary outcomes were all-cause mortality, and deaths from cardiovascular disease (CVD) and stroke. During a median follow-up time of 7.38 years, 38 deaths were recorded, including 20 deaths due to CVD and 19 deaths due to stroke. Compared with the lowest TMAO quartile group, the hazard ratio (HR) for all-cause mortality was 1.35 (95% CI: 0.44,4.15), 1.65 (95% CI: 0.58,4.64), and 2.45 (95% CI: 0.91,6.57), respectively in higher groups. No association was observed between TMAO and CVD mortality. However, compared with the lowest TMAO concentration group, the HRs for stroke mortality was 1.93 (95% CI: 0.40,9.39), 1.91 (95% CI: 0.41,8.96), and 4.16 (95% CI: 0.94,18.52), respectively in higher groups (P for trend=0.046). Furthermore, polygenic risk score (PRS) for longevity modified the association of TMAO with all-cause mortality (P for interaction=0.008). The risk of mortality (HR=2.20, 95% CI: 1.06,4.57) was higher among participants with lower PRS compared with higher PRS (HR=1.00, 95% CI: 0.71,1.40). The study indicates that elevated serum TMAO levels are potentially associated with long-term mortality risk in rural areas of Northern China, especially for stroke deaths. Additionally, it provides novel evidence that genetic variations might modify the association.
Case Presentation: A 68 year old man. Hospitalized with decreased consciousness. Experienced severe shortness of breath 3 days before entering the hospital. The patient also had wounds on his right and left legs since 1 month ago. But then became more widespread. The patient has kidney failure and routinely undergoes hemodialysis. The patient had diabetes since 6 years ago. Laboratory: Hemoglobin 7.5 Leukocytes 17.8 Netrophils 91.70 Lymphocytes 4.20 Albumin 2.2 Creatinine 2.5 Ureum 61 Artery 2.30, urine bacteria+++. Pus culture results: Enterobacter cloacae with the antibiotic meropenem. Sputum culture results Klebsiella pneumoniae ss. Pneumoniae with amikacin. After 1 week pus culture results: Pseudomonas aeruginosa with amikacin. Blood culture results: Staphylococcus epidermidis suggested vancomycin. The patient underwent debriment in the operating room. However, the condition did not improve. Discussion: This patient experienced sepsis with MDRO. Apart from geriatric age, the patient also has diabetes with complications of kidney failure. This worsens the patient’s immune system. So the patient’s diabetic ulcers and decubitus ulcers worsened with the results of cultures with various antibiotic-resistant multiorganisms. And also the respiratory infections increase the risk of mortality. Conclusion : MDRO is a risk factor for inappropriate antibiotic therapy, which is undoubtedly associated with increased mortality.
With numbers of very old adults (85+ years) expected to increase, and very old adults often being excluded from research and clinical trials, further knowledge about depressive disorders, antidepressant treatment and mortality among this demographic is of pressing importance.
Aims
To investigate the impact of depressive disorders and antidepressant treatment on 2-year mortality among very old adults and to explore any differences between men and women.
Method
This cross-sectional study used data from the Umeå 85+/Gerontological Regional Database home visit interviews. The data were collected between 2000 and 2017. The total sample consisted of 2551 participants, of whom 918 had a depressive disorder. Logistic and Cox regression models were used to explore factors associated with depressive disorders and time to death. Mortality rates were illustrated and analysed using Kaplan–Meier curves and log-rank tests.
Results
Having a depressive disorder both with and without antidepressant treatment was associated with increased risk of death within 2 years for both men and women. No survival differences were found between responders and non-responders to treatment. Depressive disorders were significant predictors of 2-year mortality in men. Antidepressant treatment was not independently associated with mortality.
Conclusion
Depressive disorders are significantly associated with increased 2-year mortality among very old adults, especially men, and measures to reduce mortality are urgently needed. Further exploration of the effects of antidepressant treatment among very old adults is warranted.
Schizophrenia is known to be a disabling psychiatric condition with wide reaching impact on everyday functioning and outcomes. These functional outcomes include increases in all-cause mortality (especially suicide and injury), cognitive and functional capacity deficits, lower reported levels of quality of life (QoL), increased incarceration, higher risk for violence and victimization, and homelessness. Studies have shown that medications and outpatient services can improve each of these functional outcomes in individuals with schizophrenia. However, most studies of pharmacological treatment utilize rating scales that do not reflect these real-world outcomes. This review looks at available studies focused on real-world outcomes and argues for an expansion of this body of research.
To assess the association between coffee consumption and life expectancy among the US adults.
Design:
Prospective cohort.
Setting:
National representative survey in the United States, 2001–2018.
Participants:
A total of 43 114 participants aged 20 years or older with complete coffee consumption data were included from National Health and Nutrition Examination Survey 2001–2018.
Results:
Over a median follow-up of 8·7 years, 6234 total deaths occurred, encompassing 1929 deaths from CVD and 1411 deaths from cancer. Based on the nationally representative survey, we found that coffee consumption is associated with longer life expectancy. The estimated life expectancy at age 50 was 30·06 years (95 % CI, 29·68, 30·44), 30·82 years (30·12, 31·57), 32·08 years (31·52, 32·70), 31·24 years (30·29, 32·19), and 31·45 years (30·39, 32·60) in participants consuming 0, ≤ 1, 1 to ≤ 2, 2 to ≤ 3, and > 3 cups of coffee per day, respectively. Consequently, compared with non-coffee drinkers, participants who consumed 1 to ≤ 2 cups/day had a gain of 2·02 years (1·17, 2·85) in life expectancy on average, attributable to a 0·61-year (29·72 %) reduction in CVD deaths. Similar benefits were found in both males and females.
Conclusion:
Our findings suggest that moderate coffee consumption (approximately 2 cups per day) could be recommended as a valuable component of a healthy diet and may be an adjustable effective intervention measure to increase life expectancy.
Adherence to healthy dietary patterns, including fruits, vegetables and whole grains, is linked to improved health outcomes. However, limited research has explored this association in Latin American populations. This study aimed to investigate the association between adherence to a healthy eating score (unweighted and weighted) and all-cause mortality risk in a Chilean population. This longitudinal study included 5336 Chilean participants from the Chilean National Health Survey 2016 and 2017. Six healthy eating habits were considered to produce the healthy eating score (range: 0–12): consumption of seafood, whole grains, dairy products, fruits, vegetables and legumes. A weighted score was also developed. Participants were categorised into quartiles based on their final scores, with the healthiest quartile used as the reference group. Associations between healthy eating score and all-cause mortality were performed using Cox proportional hazard models adjusted for confounders. After a median follow-up of 5·1 years, 276 (5·2 %) participants died. In the fully adjusted model, compared with participants in the healthiest quartile of the score (Q4), those in the unhealthiest quartile (Q1) had 1·61 (95 % CI: 1·14, 2·27) times higher all-cause mortality risk. A similar association was observed for the weighted healthy eating score (1·52 (95 % CI: 1·03, 2·23)). An inverse trend was observed for both scores (P < 0·05). Sensitivity analyses excluding participants who died within the first 2 years showed consistent results 1·63 (95 % CI: 1·09, 2·42). Individuals with the lowest healthy eating score (unweighted or weighted) had a higher mortality risk compared with their counterparts. A healthy eating score is associated with mortality risk in the Chilean population.
We assessed whether the motor component of the Glasgow Coma Scale (GCSm) is independently associated with unfavorable outcomes in aggressively treated poor-grade subarachnoid hemorrhage (SAH) patients.
Methods:
Retrospective cohort of poor-grade SAH patients (World Federation of Neurosurgical Societies (WFNS) grades IV and V). The best GCSm score achieved within 24 h of admission was stratified into four categories (<4, 4, 5 or 6). Outcomes were classified as favorable [modified Rankin Scale (mRS) ≤ 2] or unfavorable (mRS ≥ 3). Multivariable logistic regression was performed to identify independent predictors of unfavorable outcome.
Results:
A total of 179 patients were admitted during the study period (mean age 55.9 ± 12.1; 68.2% female). Thirty-three patients (33/179 – 18%) died before aneurysm treatment, one patient had missing GCSm data at 24 h and sixteen patients (16/179; 9%) were lost to follow-up. One hundred and twenty-nine patients (129/179 – 72%) were included in the final analysis. No patient with GCSm < 4 had a favorable outcome (sensitivity 22.4%, specificity 100%, positive predictive value 100% and negative predictive value 67.8% for unfavorable outcome). Delayed cerebral ischemia-related cerebral infarction (odds ratio (OR) 4.06; 1.56−11.11 95% CI, p = 0.004) and the best GCSm score were independently associated with unfavorable outcome. There was a stepwise decrease in the rate of unfavorable outcome from GCSm < 4 to GCSm = 6 (<4 = 100%; 4 = 80%; 5 = 46% and 6 = 20%). Each one-point decrease in GCSm score was associated with an OR of 3.52 (1.77−7.92 95% CI, p = < 0.001) for unfavorable outcome.
Conclusion:
The GCSm score was independently associated with unfavorable outcome. All patients with a GCSm score < 4 experienced an unfavorable outcome.
Considering the high likelihood of chronicity, it is imperative to understand the risk factors and outcomes associated with severe anorexia nervosa (AN), for which Danish registers provide a unique opportunity. We developed a measure of AN severity adapted from clinical literature for use in register-based research.
Methods
The study population included all Danish individuals born between 1963 and 2007 who were diagnosed with AN from 1969 to 2013. Using register data, we constructed the anorexia nervosa register-based severity index (AN-RSI), incorporating early or late illness onset, number of inpatient admissions and outpatient treatments, cumulative treatment length, and illness duration, each weighted based on clinical importance. Associations between AN-RSI scores, evaluated 5 years after first AN diagnosis, and mortality were estimated using survival analysis.
Results
Among 9167 individuals diagnosed with AN, 132 died during follow-up: 17 from AN, 30 from suicide, and 85 from other causes. Higher AN-RSI scores were associated with increased rates of mortality from AN, somatic anorexia diagnosis, suicide, alcohol-related causes, and any cause. AN cases who scored in the top 20% of AN-RSI had especially high mortality rates. Furthermore, severe AN cases were also more likely to be in treatment in the next 5 years after severity was established.
Conclusions
AN-RSI effectively captures mortality and long-term treatment in the absence of detailed patient records and is associated with later mortality in AN patients. AN-RSI could serve as a tool to examine epidemiological and genetic risk factors associated with AN course and outcomes.
As the population ages, the provision of adult long-term care (LTC) is one of the major challenges facing the UK and other developed nations. LTC funding for the elderly is complex, reflecting the range and level of services provided, with the total cost depending on the duration of LTC required. Institutional care settings (e.g., nursing/residential care homes) represent the most expensive form of LTC. Planning and funding for institutional LTC requires an understanding of the factors affecting the mortality (and hence duration and cost of care) of such LTC recipients. Using data provided by Bupa, one of the largest LTC providers in Britain, this paper investigates factors affecting the mortality of residents of institutional LTC facilities over the period 2016-2019. Consistent with existing research, most residents were female and had a higher average age profile compared with male residents. For those residents who died during the investigation period, the average length of stay was approximately 1.6 times longer for females relative to males. For both males and females, new residents experienced higher mortality in the first-year post admission compared to existing residents. Variations in the mortality of the residents were analysed by condition, funding status and care type on admission.
People with opioid use disorder (OUD) have substantially higher standardised mortality rates compared with the general population. However, lack of individualised prognostic information presents challenges in personalisation of addiction treatment delivery.
Aims
To develop and validate the first prognostic models to estimate 6-month all-cause and drug-related mortality risk for people diagnosed with OUD using indicators recorded at baseline assessment in addiction services in England.
Method
Thirteen candidate prognostic variables, including sociodemographic, injecting status and health and mental health factors, were identified from nationally linked addiction treatment, hospital admission and death records from 1 April 2013 to 1 April 2022. Multivariable Cox regression models were developed with a fractional polynomial approach for continuous variables, and missing data were addressed using multiple imputation by chained equations. Validation was undertaken using bootstrapping methods. Discrimination was assessed using Harrel’s C and D statistics alongside examination of observed-to-predicted event rates and calibration curve slopes.
Results
Data were available for 236 064 people with OUD, with 2427 deaths due to any cause, including 1289 due to drug-related causes. Both final models demonstrated good optimism-adjusted discrimination and calibration, with all-cause and drug-related models, respectively, demonstrating Harrell’s C statistics of 0.73 (95% CI 0.71–0.75) and 0.74 (95% CI 0.72–0.76), D-statistics of 1.01 (95% CI 0.95–1.08) and 1.07 (95% CI 0.98–1.16) and calibration slopes of 1.01 (95% CI 0.95–1.08) and 1.01 (95% CI 0.94–1.10).
Conclusions
We developed and internally validated Roberts’ OUD mortality risk, with the first models to accurately quantify individualised absolute 6-month mortality risks in people with OUD presenting to addiction services. Independent validation is warranted to ensure these models have the optimal utility to assist wider future policy, commissioning and clinical decision-making.
Educational opportunities and outcomes will determine whether a society thrives or merely survives a 100-year-life. Nations should ensure that educational opportunity gaps do not continue to leave behind children of color and children from low-income households who too often receive inferior educational opportunities. The US should adopt law and policy reforms that help to close these gaps and ensure that all children receive a high-quality education that will empower them to make the personal and professional adaptations that are essential for thriving over a 100-year-life.
We examine the impact of decentralisation on COVID-19 mortality and various health outcomes. Specifically, we investigate whether decentralised health systems, which facilitated greater regional participation and information sharing, were more effective in saving lives. Our analysis makes three contributions. First, we draw on evidence from several European countries to assess whether the decentralisation of health systems influenced COVID-19 mortality rates. Second, we explore the regional disparities in one of the most decentralised health systems, Spain, to untangle some of the determinants shaping health outcomes. Third, we estimate the regional loss of Quality Adjusted Life Years (QALYs) due to COVID-19 mortality, broken down by the wave of the pandemic. Our findings suggest that coordinated decentralisation played a critical role in saving lives throughout the COVID-19 pandemic.
Although dementia is a terminal condition, palliation can be a challenge for clinical services. As dementia progresses, people frequently develop behavioural and psychological symptoms, sometimes so severe they require care in specialist dementia mental health wards. Although these are often a marker of late disease, there has been little research on the mortality of people admitted to these wards.
Aims
We sought to describe the mortality of this group, both on-ward and after discharge, and to investigate clinical features predicting 1-year mortality.
Method
First, we conducted a retrospective analysis of 576 people with dementia admitted to the Cambridgeshire and Peterborough National Health Service (NHS) Foundation Trust dementia wards over an 8-year period. We attempted to identify predictors of mortality and build predictive machine learning models. To investigate deaths occurring during admission, we conducted a second analysis as a retrospective service evaluation involving mental health wards for people with dementia at four NHS trusts, including 1976 admissions over 7 years.
Results
Survival following admission showed high variability, with a median of 1201 days (3.3 years). We were not able to accurately predict those at high risk of death from clinical data. We found that on-ward mortality remains rare but had increased from 3 deaths per year in 2013 to 13 in 2019.
Conclusions
We suggest that arrangements to ensure effective palliation are available on all such wards. It is not clear where discussions around end-of-life care are best placed in the dementia pathway, but we suggest it should be considered at admission.
A fundamental problem in descriptive epidemiology is how to make meaningful and robust comparisons between different populations, or within the same population over different periods. The problem has several dimensions. First, the data we have to work with (e.g. incident and prevalent cases, and deaths) is rarely usable in its raw form. We must therefore transform it in some way before undertaking the comparison itself. Second, our data usually tells us about fundamentally different attributes of the populations we are seeking to compare. If we are only ever interested in comparing any one of these attributes at a time (mortality, for example), then one of several simple and well-established transformations is all that is typically required. Increasingly, however, epidemiologists are being asked to bring these attributes together into more integrated and meaningful comparisons.
We investigate whether the diseases for which there was more biomedical innovation had larger 1999–2019 reductions in premature mortality. Biomedical innovation related to a disease is measured by the change in the mean vintage of descriptors of PubMed articles about the disease. We analyze data on 286 million descriptors of 27 million articles about over 800 diseases. Premature mortality from a disease is significantly inversely related to the lagged vintage of descriptors of articles about the disease. In the absence of biomedical innovation, age-adjusted mortality rates would not have declined. Some factors other than biomedical innovation (e.g., a decline in smoking and an increase in educational attainment) contributed to the decline in mortality. But other factors (e.g., a rise in obesity and the prevalence of chronic conditions) contributed to an increase in mortality. Biomedical innovation reduced the mortality of white people sooner than it reduced the mortality of black people.
Triceps skinfold thickness (TSF) is a surrogate marker of subcutaneous fat. Evidence is limited about the association of sex-specific TSF with the risk of all-cause mortality among maintenance hemodialysis (MHD) patients. We aimed to investigate the longitudinal relationship of TSF with all-cause mortality among MHD patients. A multicenter prospective cohort study was performed in 1034 patients undergoing MHD. The primary outcome was all-cause mortality. Multivariable Cox proportional hazards models were used to evaluate the association of TSF with the risk of mortality. The mean (standard deviation) age of the study population was 54.1 (15.1) years. 599 (57.9%) of the participants were male. The median (interquartile range) of TSF was 9.7 (6.3–13.3 mm) in males and 12.7 (10.0–18.0 mm) in females. Over a median follow up of 4.4 years (interquartile range, 2.4-7.9 years), there were 548 (53.0%) deaths. When TSF was assessed as sex-specific quartiles, compared with those in quartile 1, the adjusted HRs (95%CIs) of all-cause mortality in quartile 2, quartile 3 and quartile 4 were 0.93 (0.73, 1.19), 0.75 (0.58, 0.97) and 0.69 (0.52, 0.92), respectively (P for trend =0.005). Moreover, when analyzed by sex, increased TSF (≥9.7 mm for males and ≥18mm for females) was significantly associated with a reduced risk of all-cause mortality (quartile 3-4 vs. quartile 1-2; HR, 0.70; 95%CI: 0.55, 0.90 in males; quartile 4 vs. Quartile 1-3; HR, 0.69; 95%CI: 0.48, 1.00 in females). In conclusion, high TSF was significantly associated with lower risk of all-cause mortality in MHD patients.