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Background:Previous findings suggest that apathy symptoms independently of depressive symptoms measured using the Geriatric Depression Scale (GDS) are associated with cardiovascular disease (CVD) in older individuals. Aims:To study whether apathy and depressive symptoms in older people are associated with future CVD, stroke, and mortality using individual patient-data meta-analysis. Methods:Medline, Embase, and PsycInfo databases up to September 3, 2013, were systematically searched without language restrictions. We sought prospective studies with older (mean age ≥65 years) community-dwelling populations in which the GDS was employed and subsequent stroke and/or CVD were recorded to provide individual participant data. Apathy symptoms were defined as the three apathy-related subitems of the GDS, with depressive symptoms the remaining items. We used myocardial infarction (MI), stroke, and all-cause mortality as main outcomes. Analyses were adjusted for age, sex, and MI/stroke history. An adaptation of the Newcastle-Ottawa scale was used to evaluate bias. Hazard ratios were calculated using one-stage random-effect Cox regression models. Results:Of the 52 eligible studies, 21 (40.4%) were included, comprising 47,625 older people (mean age [standard deviation] 74 [7.4] years), over a median follow-up of 8.8 years. Participants with apathy symptoms had a 21% higher risk of MI (95% confidence interval [CI] 1.08-1.36), a 37% higher risk of stroke (95% CI 1.18-1.59), and a 47% higher risk of all-cause mortality (95% CI 1.38-1.56). Participants with depressive symptoms had a comparably higher risk of stroke (HR 1.36, 95% CI 1.18-1.56) and all-cause mortality (HR 1.44, 95% CI 1.35-1.53), but not of MI (HR 1.08, 95% CI 0.91-1.29). Associations for isolated apathy and isolated depressive symptoms were comparable. Sensitivity analyses according to risk of bias yielded similar results. Conclusion:Our findings stress the clinical importance of recognizing apathy independently of depressive symptoms, and could help physicians identify persons at increased risk of vascular disease.

Little evidence on the validity of simple and widely applicable tools to predict mortality in patients with chronic obstructive pulmonary disease (COPD) exists. To conduct a large international study to validate the ADO index that uses age, dyspnoea and FEV(1) to predict 3-year mortality and to update it in order to make prediction of mortality in COPD patients as generalisable as possible. Individual subject data analysis of 10 European and American cohorts (n=13 914). Population-based, primary, secondary and tertiary care. COPD GOLD stages I-IV. We validated the original ADO index. We then obtained an updated ADO index in half of our cohorts to improve its predictive accuracy, which in turn was validated comprehensively in the remaining cohorts using discrimination, calibration and decision curve analysis and a number of sensitivity analyses. 1350 (9.7%) of all subjects with COPD (60% male, mean age 61 years, mean FEV(1) 66% predicted) had died at 3 years. The original ADO index showed high discrimination but poor calibration (p

Background after hospitalisation for cardiac disease, older patients are at high risk of readmission and death. Objective the cardiac care bridge (CCB) transitional care programme evaluated the impact of combining case management, disease management and home-based cardiac rehabilitation (CR) on hospital readmission and mortality. Design single-blind, randomised clinical trial. Setting the trial was conducted in six hospitals in the Netherlands between June 2017 and March 2020. Community-based nurses and physical therapists continued care post-discharge. Subjects cardiac patients ≥ 70 years were eligible if they were at high risk of functional loss or if they had had an unplanned hospital admission in the previous 6 months. Methods the intervention group received a comprehensive geriatric assessment-based integrated care plan, a face-to-face handover with the community nurse before discharge and follow-up home visits. The community nurse collaborated with a pharmacist and participants received home-based CR from a physical therapist. The primary composite outcome was first all-cause unplanned readmission or mortality at 6 months. Results in total, 306 participants were included. Mean age was 82.4 (standard deviation 6.3), 58% had heart failure and 92% were acutely hospitalised. 67% of the intervention key-elements were delivered. The composite outcome incidence was 54.2% (83/153) in the intervention group and 47.7% (73/153) in the control group (risk differences 6.5% [95% confidence intervals, CI −4.7 to 18%], risk ratios 1.14 [95% CI 0.91–1.42], P  = 0.253). The study was discontinued prematurely due to implementation activities in usual care. Conclusion in high-risk older cardiac patients, the CCB programme did not reduce hospital readmission or mortality within 6 months. Trial registration Netherlands Trial Register 6,316, https://www.trialregister.nl/trial/6169 [ABSTRACT FROM AUTHOR]

Only a few efforts have been made to define core competencies for epidemiologists working in academic settings. Here we describe a multinational effort to define competencies for epidemiologists, who are increasingly facing emerging and potentially disruptive technological and societal health trends in academic research. During a 1.5-year period (2017–2019), we followed an iterative process that aimed to be inclusive and multinational to reflect the various perspectives of a diverse group of epidemiologists. Competencies were developed by a consortium in a consensus-oriented process that spanned 3 main activities: 2 in-person interactive meetings held in Amsterdam, the Netherlands, and Zurich, Switzerland, and an online survey. In total, 93 meeting participants from 16 countries and 173 respondents from 19 countries contributed to the development of 31 competencies. These 31 competencies included 14 on "developing a scientific question" and "study planning," 12 on "study conduct and analysis," 3 on "overarching competencies," and 2 on "communication and translation." The process described here provides a consensus-based framework for defining and adapting the field. It should initiate a continuous process of thinking about competencies and the implications for teaching epidemiology to ensure that epidemiologists working in academic settings are well prepared for today's and tomorrow's health research. [ABSTRACT FROM AUTHOR]