Dataset Information

Delirium, Frailty, and Mortality: Interactions in a Prospective Study of Hospitalized Older People.

ABSTRACT: Background:It is unknown whether the association between delirium and mortality is consistent for individuals across the whole range of health states. A bimodal relationship has been proposed, where delirium is particularly adverse for those with underlying frailty, but may have a smaller effect (perhaps even protective) if it is an early indicator of acute illness in fitter people. We investigated the impact of delirium on mortality in a cohort simultaneously evaluated for frailty. Methods:We undertook an exploratory analysis of a cohort of consecutive acute medical admissions aged ?70. Delirium on admission was ascertained by psychiatrists. A frailty index (FI) was derived according to a standard approach. Deaths were notified from linked national mortality statistics. Cox regression was used to estimate associations between delirium, frailty, and their interactions on mortality. Results:The sample consisted of 710 individuals. Both delirium and frailty were independently associated with increased mortality rates (delirium: HR 2.4, 95% CI 1.8-3.3, p < .01; frailty (per SD): HR 3.5, 95% CI 1.2-9.9, p = .02). Estimating the effect of delirium in tertiles of FI, mortality was greatest in the lowest tertile: tertile 1 HR 3.4 (95% CI 2.1-5.6); tertile 2 HR 2.7 (95% CI 1.5-4.6); tertile 3 HR 1.9 (95% CI 1.2-3.0). Conclusion:Although delirium and frailty contribute to mortality, the overall impact of delirium on admission appears to be greater at lower levels of frailty. In contrast to the hypothesis that there is a bimodal distribution for mortality, delirium appears to be particularly adverse when precipitated in fitter individuals.

SUBMITTER: Dani M

PROVIDER: S-EPMC5861945 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Delirium, Frailty, and Mortality: Interactions in a Prospective Study of Hospitalized Older People.

Dani Melanie M Owen Lucy H LH Jackson Thomas A TA Rockwood Kenneth K Sampson Elizabeth L EL Davis Daniel D

The journals of gerontology. Series A, Biological sciences and medical sciences 20180301 3

<h4>Background</h4>It is unknown whether the association between delirium and mortality is consistent for individuals across the whole range of health states. A bimodal relationship has been proposed, where delirium is particularly adverse for those with underlying frailty, but may have a smaller effect (perhaps even protective) if it is an early indicator of acute illness in fitter people. We investigated the impact of delirium on mortality in a cohort simultaneously evaluated for frailty.<h4>M ...[more]

PMID: 29099916

Similar Datasets

Project description:BackgroundHospitalized older adults with preexisting dementia have increased risk of having delirium, but little is known regarding the effect of delirium superimposed on dementia (DSD) on the outcomes of these patients. Our aim was to investigate the association between DSD and hospital mortality and 12-mo mortality in hospitalized older adults.Methods and findingsThis was a prospective cohort study completed in the geriatric ward of a university hospital in São Paulo, Brazil. We included 1,409 hospitalizations of acutely ill patients aged 60 y and over from January 2009 to June 2015. Main variables and measures included dementia and dementia severity (Informant Questionnaire on Cognitive Decline in the Elderly, Clinical Dementia Rating) and delirium (Confusion Assessment Method). Primary outcomes were time to death in the hospital and time to death in 12 mo (for the discharged sample). Comprehensive geriatric assessment was performed at admission, and additional clinical data were documented upon death or discharge. Cases were categorized into four groups (no delirium or dementia, dementia alone, delirium alone, and DSD). The no delirium/dementia group was defined as the referent category for comparisons, and multivariate analyses were performed using Cox proportional hazards models adjusted for possible confounders (sociodemographic information, medical history and physical examination data, functional and nutritional status, polypharmacy, and laboratory covariates). Overall, 61% were women and 39% had dementia, with a mean age of 80 y. Dementia alone was observed in 13% of the cases, with delirium alone in 21% and DSD in 26% of the cases. In-hospital mortality was 8% for patients without delirium or dementia, 12% for patients with dementia alone, 29% for patients with delirium alone, and 32% for DSD patients (Pearson Chi-square = 112, p < 0.001). DSD and delirium alone were independently associated with in-hospital mortality, with respective hazard ratios (HRs) of 2.14 (95% CI = 1.33-3.45, p = 0.002) and 2.72 (95% CI = 1.77-4.18, p < 0.001). Dementia alone did not have a significant statistical association with in-hospital mortality (HR = 1.69, 95% CI = 0.72-2.30, p = 0.385). Finally, while 24% of the patients died after discharge, 12-mo mortality was not associated with dementia or delirium in any of the diagnostic groups (DSD: HR = 1.15, 95% CI = 0.79-1.68, p = 0.463; delirium alone: HR = 1.05, 95% CI = 0.71-1.54, p = 0.810; dementia alone: HR = 1.19, 95% CI = 0.79-1.78, p = 0.399). Limitations to this study include not exploring the effects of the duration and severity of delirium on the outcomes.ConclusionsDSD and delirium alone were independently associated with a worse prognosis in hospitalized older adults. Health care professionals should recognize the importance of delirium as a predictor of hospital mortality regardless of the coexistence with dementia.

Project description:ObjectivesTo investigate the association between delirium motor subtypes and hospital mortality and 12-month mortality in hospitalized older adults.DesignProspective cohort study conducted from 2009 to 2015.SettingGeriatric ward of a university hospital in Sao Paulo, Brazil.ParticipantsWe included 1,409 consecutive admissions of acutely ill patients aged 60 years and over. We excluded admissions for end-of-life care, with missing data on the main variables, length of stay shorter than 48 hours, or when consent to participate was not given.Main outcomes and measuresDelirium was detected using the Confusion Assessment Method and categorized in hypoactive, hyperactive, or mixed delirium. Primary outcomes were time to death in the hospital, and time to death in 12 months (for the discharged sample). Comprehensive geriatric assessment was performed at admission and included socio-demographic, clinical, functional, cognitive, and laboratory variables. Further clinical data were documented upon death or discharge. Multivariate analyses used Cox proportional hazards models adjusted for possible confounders.ResultsWe included 1,409 admissions, with a mean age of 80 years. The proportion of in-hospital deaths was 19%, with a cumulative mortality of 38% in 12 months. Delirium occurred in 47% of the admissions. Hypoactive delirium was the predominant motor subtype (53%), followed by mixed delirium (30%) and hyperactive delirium (17%). Hospital mortality rates were respectively 33%, 34% and 15%. We verified that hypoactive and mixed delirium were independently associated with hospital mortality, with respective hazard ratios of 2.43 (95%CI = 1.64-3.59) and 2.31 (95%CI = 1.53-3.50). Delirium motor subtypes were not independently predictive of 12-month mortality.ConclusionsOne in three acutely ill hospitalized older adults who suffered hypoactive or mixed delirium died in the hospital. Clinicians should be aware that hypoactive symptoms of delirium, whether shown exclusively or in alternation with hyperactive symptoms, are indicative of a worse prognosis in this population.

Project description:ObjectivesTo assess the degree of frailty in older people with different advanced diseases and its relationship with end-of-life illness trajectories and survival.MethodsProspective, observational study, including all patients admitted to the Acute Geriatric Unit of the University Hospital of Vic (Spain) during 12 consecutive months (2014-2015), followed for up to 2 years. Participants were identified as end-of-life people (EOLp) using the NECPAL (NECesidades PALiativas, palliative care needs) tool and were classified according to their dominant illness trajectory. The Frail-VIG index (Valoración Integral Geriátrica, Comprehensive Geriatric Assessment) was used to quantify frailty degree, to calculate the relationship between frailty and mortality (Receiver Operating Characteristic (ROC) curves), and to assess the combined effect of frailty degree and illness trajectories on survival (Cox proportional hazards model). Survival curves were plotted using the Kaplan-Meier estimator with participants classified into four groups (ie, no frailty, mild frailty, moderate frailty and advanced frailty) and were compared using the log-rank test.ResultsOf the 590 persons with a mean (SD) age of 86.4 (5.6) years recruited, 260 (44.1%) were identified as EOLp, distributed into cancer (n=31, 11.9%), organ failure (n=79, 30.4%), dementia (n=86, 33.1%) and multimorbidity (n=64, 24.6%) trajectories. All 260 EOLp had some degree of frailty, mostly advanced frailty (n=184, 70.8%), regardless of the illness trajectory, and 220 (84.6%) died within 2 years. The area under the ROC curve (95% CI) after 2 years of follow-up for EOLp was 0.87 (0.84 to 0.92) with different patterns of survival decline in the different end-of-life trajectories (p<0.0001). Cox regression analyses showed that each additional deficit of the Frail-VIG index increased the risk of death by 61.5%, 30.1%, 29.6% and 12.9% in people with dementia, organ failure, multimorbidity and cancer, respectively (p<0.01 for all the coefficients).ConclusionsAll older people towards the end-of-life in this study were frail, mostly with advanced frailty. The degree of frailty is related to survival across the different illness trajectories despite the differing survival patterns among trajectories. Frailty indexes may be useful to assess end-of-life older people, regardless of their trajectory.

Project description:BackgroundFrailty is a dynamic condition that is clinically expected to change in older individuals during and around admission to an intermediate care (IC) facility. We aimed to characterize transitions between degrees of frailty before, during, and after admission to IC and assess the impact of these transitions on health outcomes.MethodsMulticentre observational prospective study in IC facilities in Catalonia (North-east Spain). The analysis included all individuals aged ≥ 75 years (or younger with chronic complex or advanced diseases) admitted to an IC facility. The primary outcome was frailty, measured by the Frail-VIG index and categorized into four degrees: no frailty, and mild, moderate, and advanced frailty. The Frail-VIG index was measured at baseline (i.e., 30 days before IC admission) (Frail-VIG0), on IC admission (Frail-VIG1), at discharge (Frail-VIG2), and 30 days post-discharge (Frail-VIG3).ResultsThe study included 483 patients with a mean (SD) age of 81.3 (10.2) years. At the time of admission, 27 (5.6%) had no frailty, and 116 (24%), 161 (33.3%), and 179 (37.1%) mild, moderate, and severe frailty, respectively. Most frailty transitions occurred within the 30 days following admission to IC, particularly among patients with moderate frailty on admission. Most patients maintained their frailty status after discharge. Overall, 135 (28%) patients died during IC stay. Frailty, measured either at baseline or admission, was significantly associated with mortality, although it showed a stronger contribution when measured on admission (HR 1.16; 95%CI 1.10-1.22; p < 0.001) compared to baseline (HR 1.10; 1.05-1.15; p < 0.001). When including frailty measurements at the two time points (i.e., baseline and IC admission) in a multivariate model, frailty measured on IC admission but not at baseline significantly contributed to explaining mortality during IC stay.ConclusionsFrailty status varied before and during admission to IC. Of the serial frailty measures we collected, frailty on IC admission was the strongest predictor of mortality. Results from this observational study suggest that routine frailty measurement on IC admission could aid clinical management decisions.

Project description:BackgroundFrailty increases the risk of adverse outcomes in older people. The impact of psychosocial factors on frailty and adverse clinical outcomes associated with frailty has not yet been examined in the hospital setting. The aims of this study were to: i) investigate the association between psychosocial factors and frailty, and ii) to establish whether psychosocial factors impact on the association between frailty and adverse outcomes.MethodsData was collected from a Geriatric Evaluation and Management Unit (GEMU) in Australia. Frailty was identified using Fried's frailty criteria. Psychosocial factors included wellbeing, sense of control (mastery), social activities, home/neighbourhood satisfaction, social relationships, anxiety and depression. Outcome measures were: mortality at 12 months, long length of GEMU stay (LOS), 1-month emergency rehospitalisation, and a higher level of care needed on discharge. Covariates adjusted for were age, gender and comorbidity.ResultsThe mean (SD) age of participants (n = 172) at admission was 85.2 (6.4) years, with 129 (75%) female patients. 96 (56%) patients were classified as frail, with 64 (37%) pre-frail and 12 (7%) robust. Frail patients had an increased likelihood of 12-month mortality (HR, 95% CI = 3.16, 1.36-7.33), discharge to a higher level of care (OR, 95% CI = 2.40, 1.21-4.78), long LOS (OR, 95% CI = 2.04, 1.07-3.88) and 1-month emergency rehospitalisation (OR, 95% CI = 2.53, 1.10-5.82). Psychosocial factors associated with frailty included poor wellbeing, anxiety, depression, and a low sense of control. Several psychosocial factors increased the likelihood of adverse outcomes associated with frailty, including anxiety and low ratings for: wellbeing, sense of control, social activities and home/neighbourhood satisfaction.ConclusionsOur results indicate that frail older adults with low psychosocial resources had an elevated risk of mortality, discharge to higher level care, long LOS and rehospitalisation. Consideration of psychosocial factors in comprehensive geriatric assessments will assist in patient care planning.

Dataset Information

Delirium, Frailty, and Mortality: Interactions in a Prospective Study of Hospitalized Older People.

Publications

Delirium, Frailty, and Mortality: Interactions in a Prospective Study of Hospitalized Older People.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets