ObjectivesTo establish the prevalence and course of geriatric syndromes from hospital admission up to 3 months postdischarge and to determine the probability to retain geriatric syndromes over the period from discharge until 3 months postdischarge, once they are present at admission.DesignProspective multicenter cohort study conducted between October 2015 and June 2017.Setting and participantsAcutely hospitalized patients aged 70 years and older recruited from internal, cardiology, and geriatric wards of 6 Dutch hospitals.MeasuresCognitive impairment, depressive symptoms, apathy, pain, malnutrition, incontinence, dizziness, fatigue, mobility impairment, functional impairment, fall risk, and fear of falling were assessed at admission, discharge, and 1, 2, and 3 months postdischarge. Generalized estimating equations analysis were performed to analyze the course of syndromes and to determine the probability to retain syndromes.ResultsA total of 401 participants [mean age (standard deviation) 79.7 (6.7)] were included. At admission, a median of 5 geriatric syndromes were present. Most prevalent were fatigue (77.2%), functional impairment (62.3%), apathy (57.5%), mobility impairment (54.6%), and fear of falling (40.6%). At 3 months postdischarge, an average of 3 syndromes were present, of which mobility impairment (52.7%), fatigue (48.1%), and functional impairment (42.5%) were most prevalent. Tracking analysis showed that geriatric syndromes that were present at admission were likely to be retained. The following 6 geriatric syndromes were most likely to stay present postdischarge: mobility impairment, incontinence, cognitive impairment, depressive symptoms, functional impairment, and fear of falling.ImplicationsAcutely hospitalized older adults exhibit a broad spectrum of highly prevalent geriatric syndromes. Moreover, patients are likely to retain symptoms that are present at admission postdischarge. Our study underscores the need to address a wide range of syndromes at admission, the importance of communication on syndromes to the next care provider, and the need for adequate follow-up care and syndrome management postdischarge.
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BACKGROUND: Acute hospitalization may lead to posthospital syndrome, but no studies have investigated how this syndrome manifests and geriatric syndromes are often used as synonym. However, studies on longitudinal associations between syndromes and adverse outcomes are scarce. We aimed to analyze longitudinal associations between geriatric syndromes and functional decline (FD), readmission, and mortality.METHODS: Prospective cohort study, including 401 acutely hospitalized patients (aged ≥ 70). We performed: (i) logistic regression analyses to assess associations between patterns of geriatric syndromes as they develop over time (between admission and 1 month postdischarge), and FD and readmission; (ii) generalized estimating equations to assess longitudinal associations between geriatric syndromes over five time points (admission, discharge, 1, 2, and 3 months postdischarge) and FD, mortality, and readmission at 3 months postdischarge.RESULTS: After syndrome absent, syndrome present at both admission and 1 month postdischarge was most prevalent. Persistent patterns of apathy (odds ratio [OR] = 4.35, 95% confidence interval [CI] = 1.54-12.30), pain (OR = 3.26, 95% CI = 1.21-8.8), malnutrition (OR = 3.4, 95% CI = 1.35-8.56), mobility impairment (OR = 6.65, 95% CI = 1.98-22.38), and fear of falling (OR = 3.17, 95% CI = 1.25-8.02) were associated with FD. Developing cognitive impairment (OR = 6.40, 95% CI = 1.52-26.84), fatigue (OR = 4.71, 95% CI = 1.03-21.60), and fall risk (OR = 4.30, 95% CI = 1.21-16.57) postdischarge, was associated with readmission; however, only 4%-6% developed these syndromes. Over the course of five time points, mobility impairment, apathy, and incontinence were longitudinally associated with FD; apathy, malnutrition, fatigue, and fall risk with mortality; malnutrition with readmission.CONCLUSION: Most geriatric syndromes are present at admission and patients are likely to retain them postdischarge. Several geriatric syndromes are longitudinally associated with mortality and, particularly, persistently present syndromes place persons are at risk of FD. Although few persons develop syndromes postdischarge, those developing cognitive impairment, fatigue, and fall risk were at increased readmission risk.
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Key summary points Aim To describe a guidance on the management of post-acute COVID 19 patients in geriatric rehabilitation. Findings This guidance addresses general requirements for post-acute COVID-19 geriatric rehabilitation and critical aspects for quality assurance during the COVID-19 pandemic. Furthermore, the guidance describes relevant care processes and procedures divided in five topics: patient selection; admission; treatment; discharge; and follow-up and monitoring. Message This guidance is designed to provide support to care professionals involved in the geriatric rehabilitation treatment of post-acute COVID-19 patients.
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The objective was to study the prevalence of eighteen geriatric conditions in older patients at admission, their reporting rate in discharge summaries and the impact of these conditions on mortality and functional decline one year after admission. A prospective multicenter cohort study conducted between 2006 and 2008 in two tertiary university teaching hospitals and one regional teaching hospital in the Netherlands. Patients of 65 years and older, acutely admitted and hospitalized for at least 48 hours, were invited to participate. Eighteen geriatric conditions were assessed at hospital admission, and outcomes (mortality, functional decline) were assessed one year after admission.
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PURPOSE: Premorbid conditions affect prognosis of acutely-ill aged patients. Several lines of evidence suggest geriatric syndromes need to be assessed but little is known on their relative effect on the 30-day survival after ICU admission. The primary aim of this study was to describe the prevalence of frailty, cognition decline and activity of daily life in addition to the presence of comorbidity and polypharmacy and to assess their influence on 30-day survival.METHODS: Prospective cohort study with 242 ICUs from 22 countries. Patients 80 years or above acutely admitted over a six months period to an ICU between May 2018 and May 2019 were included. In addition to common patients' characteristics and disease severity, we collected information on specific geriatric syndromes as potential predictive factors for 30-day survival, frailty (Clinical Frailty scale) with a CFS > 4 defining frail patients, cognitive impairment (informant questionnaire on cognitive decline in the elderly (IQCODE) with IQCODE ≥ 3.5 defining cognitive decline, and disability (measured the activity of daily life with the Katz index) with ADL ≤ 4 defining disability. A Principal Component Analysis to identify co-linearity between geriatric syndromes was performed and from this a multivariable model was built with all geriatric information or only one: CFS, IQCODE or ADL. Akaike's information criterion across imputations was used to evaluate the goodness of fit of our models.RESULTS: We included 3920 patients with a median age of 84 years (IQR: 81-87), 53.3% males). 80% received at least one organ support. The median ICU length of stay was 3.88 days (IQR: 1.83-8). The ICU and 30-day survival were 72.5% and 61.2% respectively. The geriatric conditions were median (IQR): CFS: 4 (3-6); IQCODE: 3.19 (3-3.69); ADL: 6 (4-6); Comorbidity and Polypharmacy score (CPS): 10 (7-14). CFS, ADL and IQCODE were closely correlated. The multivariable analysis identified predictors of 1-month mortality (HR; 95% CI): Age (per 1 year increase): 1.02 (1.-1.03, p = 0.01), ICU admission diagnosis, sequential organ failure assessment score (SOFA) (per point): 1.15 (1.14-1.17, p < 0.0001) and CFS (per point): 1.1 (1.05-1.15, p < 0.001). CFS remained an independent factor after inclusion of life-sustaining treatment limitation in the model.CONCLUSION: We confirm that frailty assessment using the CFS is able to predict short-term mortality in elderly patients admitted to ICU. Other geriatric syndromes do not add improvement to the prediction model. Since CFS is easy to measure, it should be routinely collected for all elderly ICU patients in particular in connection to advance care plans, and should be used in decision making.
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The aim of this research was to study the clinical characteristics and mortality and disability outcomes of patients who present distinct risk profiles for functional decline at admission. A multicenter, prospective cohort study was conducted between 2006 and 2009 in three hospitals in the Netherlands in consecutive patients of 65 years and over, acutely admitted and hospitalized for at least 48 hours. Nineteen geriatric conditions were assessed at hospital admission, and mortality and functional decline were assessed until twelve months after admission. Patients were divided into risk categories for functional decline (low, intermediate or high risk) according to the Identification of Seniors at Risk-Hospitalized Patients.
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Aims and objectives: To examine the predictive properties of the brief Dutch National Safety Management Program for the screening of frail hospitalised older patients (VMS) and to compare these with the more extensive Maastricht Frailty Screening Tool for Hospitalised Patients (MFST-HP). Background: Screening of older patients during admission may help to detect frailty and underlying geriatric conditions. The VMS screening assesses patients on four domains (i.e. functional decline, delirium risk, fall risk and nutrition). The 15-item MFST-HP assesses patients on three domains of frailty (physical, social and psychological). Design: Retrospective cohort study. Methods: Data of 2,573 hospitalised patients (70+) admitted in 2013 were included, and relative risks, sensitivity and specificity and area under the receiver operating characteristic (AUC) curve of the two tools were calculated for discharge destination, readmissions and mortality. The data were derived from the patients nursing files. A STARD checklist was completed. Results: Different proportions of frail patients were identified by means of both tools: 1,369 (53.2%) based on the VMS and 414 (16.1%) based on the MFST-HP. The specificity was low for the VMS, and the sensitivity was low for the MFST-HP. The overall AUC for the VMS varied from 0.50 to 0.76 and from 0.49 to 0.69 for the MFST-HP. Conclusion: The predictive properties of the VMS and the more extended MFST-HP on the screening of frailty among older hospitalised patients are poor to moderate and not very promising. Relevance to clinical practice: The VMS labels a high proportion of older patients as potentially frail, while the MFST-HP labels over 80% as nonfrail. An extended tool did not increase the predictive ability of the VMS. However, information derived from the individual items of the screening tools may help nurses in daily practice to intervene on potential geriatric risks such as delirium risk or fall risk.
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Background: Early identification of older cardiac patients at high risk of readmission or mortality facilitates targeted deployment of preventive interventions. In the Netherlands, the frailty tool of the Dutch Safety Management System (DSMS-tool) consists of (the risk of) delirium, falling, functional impairment, and malnutrition and is currently used in all older hospitalised patients. However, its predictive performance in older cardiac patients is unknown. Aim: To estimate the performance of the DSMS-tool alone and combined with other predictors in predicting hospital readmission or mortality within 6 months in acutely hospitalised older cardiac patients. Methods: An individual patient data meta-analysis was performed on 529 acutely hospitalised cardiac patients ≥70 years from four prospective cohorts. Missing values for predictor and outcome variables were multiply imputed. We explored discrimination and calibration of: (1) the DSMS-tool alone; (2) the four components of the DSMS-tool and adding easily obtainable clinical predictors; (3) the four components of the DSMS-tool and more difficult to obtain predictors. Predictors in model 2 and 3 were selected using backward selection using a threshold of p = 0.157. We used shrunk c-statistics, calibration plots, regression slopes and Hosmer-Lemeshow p-values (PHL) to describe predictive performance in terms of discrimination and calibration. Results: The population mean age was 82 years, 52% were males and 51% were admitted for heart failure. DSMS-tool was positive in 45% for delirium, 41% for falling, 37% for functional impairments and 29% for malnutrition. The incidence of hospital readmission or mortality gradually increased from 37 to 60% with increasing DSMS scores. Overall, the DSMS-tool discriminated limited (c-statistic 0.61, 95% 0.56-0.66). The final model included the DSMS-tool, diagnosis at admission and Charlson Comorbidity Index and had a c-statistic of 0.69 (95% 0.63-0.73; PHL was 0.658). Discussion: The DSMS-tool alone has limited capacity to accurately estimate the risk of readmission or mortality in hospitalised older cardiac patients. Adding disease-specific risk factor information to the DSMS-tool resulted in a moderately performing model. To optimise the early identification of older hospitalised cardiac patients at high risk, the combination of geriatric and disease-specific predictors should be further explored.
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Abstract: Hypertension is both a health problem and a financial one globally. It affects nearly 30 % of the general population. Elderly people, aged ≥65 years, are a special group of hypertensive patients. In this group, the overall prevalence of the disease reaches 60 %, rising to 70 % in those aged ≥80 years. In the elderly population, isolated systolic hypertension is quite common. High systolic blood pressure is associated with an increased risk of cardiovascular disease, cerebrovascular disease, peripheral artery disease, cognitive impairment and kidney disease. Considering the physiological changes resulting from ageing alongside multiple comorbidities, treatment of hypertension in elderly patients poses a significant challenge to treatment teams. Progressive disability with regard to the activities of daily life, more frequent hospitalisations and low quality of life are often seen in elderly patients. There is discussion in the literature regarding frailty syndrome associated with old age. Frailty is understood to involve decreased resistance to stressors, depleted adaptive and physiological reserves of a number of organs, endocrine dysregulation and immune dysfunction. The primary dilemma concerning frailty is whether it should only be defined on the basis of physical factors, or whether psychological and social factors should also be included. Proper nutrition and motor rehabilitation should be prioritised in care for frail patients. The risk of orthostatic hypotension is a significant issue in elderly patients. It results from an autonomic nervous system dysfunction and involves maladjustment of the cardiovascular system to sudden changes in the position of the body. Other significant issues in elderly patients include polypharmacy, increased risk of falls and cognitive impairment. Chronic diseases, including hypertension, deteriorate baroreceptor function and result in irreversible changes in cerebral and coronary circulation. Concurrent frailty or other components of geriatric syndrome in elderly patients are associated with a worse perception of health, an increased number of comorbidities and social isolation of the patient. It may also interfere with treatment adherence. Identifying causes of non-adherence to pharmaceutical treatment is a key factor in planning therapeutic interventions aimed at increasing control, preventing complications, and improving long-term outcomes and any adverse effects of treatment. Diagnosis of frailty and awareness of the associated difficulties in adhering to treatment may allow targeting of those elderly patients who have a poorer prognosis or may be at risk of complications from untreated or undertreated hypertension, and for the planning of interventions to improve hypertension control.
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