Hospitalized Patients with Delirium and 28-Day Unplanned Hospital Readmissions: A Longitudinal Retrospective Cohort Study.

OBJECTIVE: To establish the predictors of 28-day unplanned hospital readmissions (28D-UHR) in older adults (aged >65 years) with delirium during index hospital admission. DESIGN: Retrospective longitudinal cohort study. SETTING AND PARTICIPANTS: 1634 patients (aged >65 years) admitted to a Melbourne quaternary hospital with delirium during index admission. METHODS: Delirium during hospital admission was defined by the inclusion of one of the following International Classification of Diseases, Tenth Revision, codes F05.0, F05.1, F05.8, or F05.9 in the hospital medical discharge summary. Descriptive statistics were obtained for baseline characteristics. Multivariate logistic regression model was developed to assess predictors of 28D-UHR. RESULTS: A total of 1634 patients with delirium during their inpatient admission were included, with 9.8% (160 patients) incidence of 28D-UHR. For patients who were readmitted, a shorter length of stay [odds ratio (OR) 0.98, 95% CI 0.96-0.99], higher number of medications on discharge from index admission (OR 1.10, 95% CI 1.06-1.14), and residing in a nursing home preadmission (OR 1.35, 95% CI 1.04-1.75) were associated with 28D-UHR. CONCLUSIONS AND IMPLICATIONS: This study found that nursing home residence pre index admission, shorter length of stay (LOS), and polypharmacy were predictors of 28D-UHR. Further research into strategies to minimize 28D-UHR is required. Exploration of predischarge pharmacy-driven deprescribing programs and hospital-based postdischarge support for nursing home staff are important areas for future intervention.

Exploratory and confirmatory factor analysis of the questionnaire on Palliative Care for Advanced Dementia (qPAD) using a large sample of staff from Australian residential aged care homes.

BACKGROUND: The Questionnaire on Palliative Care for Advanced Dementia (qPAD) is increasingly being used to assess residential aged care workers' knowledge and attitudes about palliative care for people with dementia. The qPAD developers performed an exploratory factor analysis and assessed the internal consistency using a small sample. AIM: The aim of this study was to further assess the structural validity of the qPAD using a large sample of qPAD responses from staff who work in residential aged care homes in Australia. METHODS: Data from 727 care staff who participated in an Australian dementia palliative care training project were used for exploratory factor analyses, assessment of internal consistency, and confirmatory factor analysis of the knowledge test and attitude scale components of the qPAD. RESULTS: The exploratory factor analysis of the knowledge test produced a four-factor solution. One item loaded weakly, and four items had cross-loadings. Factor labels for the knowledge test were difficult to define. Factor analysis of the attitude scale produced a three-factor structure with good internal consistency-Feeling valued and part of the care team (α = 0.88), Family and team engagement (α = 0.75) and Perceptions and beliefs (α = 0.83). Confirmatory factor analysis indicated improvements in model fit were needed for both the knowledge test and attitude scale. CONCLUSION: The findings of this factor analysis differed from the original study. The attitude scale produced a three-factor structure, but the knowledge test requires further development due to weak and cross-loadings of several items, inadequate internal consistency of factors and poor model fit.

Evaluation of IMproving Palliative care Education and Training Using Simulation in Dementia (IMPETUS-D) a staff simulation training intervention to improve palliative care of people with advanced dementia living in nursing homes: a cluster randomised controlled trial.

BACKGROUND: People with dementia have unique palliative and end-of-life needs. However, access to quality palliative and end-of-life care for people with dementia living in nursing homes is often suboptimal. There is a recognised need for nursing home staff training in dementia-specific palliative care to equip them with knowledge and skills to deliver high quality care. OBJECTIVE: The primary aim was to evaluate the effectiveness of a simulation training intervention (IMPETUS-D) aimed at nursing home staff on reducing unplanned transfers to hospital and/or deaths in hospital among residents living with dementia. DESIGN: Cluster randomised controlled trial of nursing homes with process evaluation conducted alongside. SUBJECTS & SETTING: One thousand three hundred four people with dementia living in 24 nursing homes (12 intervention/12 control) in three Australian cities, their families and direct care staff. METHODS: Randomisation was conducted at the level of the nursing home (cluster). The allocation sequence was generated by an independent statistician using a computer-generated allocation sequence. Staff from intervention nursing homes had access to the IMPETUS-D training intervention, and staff from control nursing homes had access to usual training opportunities. The predicted primary outcome measure was a 20% reduction in the proportion of people with dementia who had an unplanned transfer to hospital and/or death in hospital at 6-months follow-up in the intervention nursing homes compared to the control nursing homes. RESULTS: At 6-months follow-up, 128 (21.1%) people with dementia from the intervention group had an unplanned transfer or death in hospital compared to 132 (19.0%) residents from the control group; odds ratio 1.14 (95% CI, 0.82-1.59). There were suboptimal levels of staff participation in the training intervention and several barriers to participation identified. CONCLUSION: This study of a dementia-specific palliative care staff training intervention found no difference in the proportion of residents with dementia who had an unplanned hospital transfer. Implementation of the intervention was challenging and likely did not achieve adequate staff coverage to improve staff practice or resident outcomes. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12618002012257 . Registered 14 December 2018.

Development of a Frailty Index from Routine Hospital Data in Perioperative and Critical Care.

BACKGROUND/OBJECTIVES: Frailty is common in surgical and intensive care unit (ICU) populations, yet it is not routinely measured. Frailty indices are able to quantify this condition across a range of health deficits. We aimed to develop a frailty index (FI) from routinely collected hospital data in a surgical and ICU population. DESIGN: Prospective observational single-center cohort study. SETTING: Tertiary referral metropolitan Australian hospital. PARTICIPANTS: A total of 336 individuals aged 65 and older undergoing surgery or aged 50 and older admitted to the ICU. MEASUREMENTS: Routine admission health data were used to derive an FI comprising 36 health deficits. We examined the FI correlation with existing frailty tools (Clinical Frailty Scale [CFS] and Edmonton Frail Scale [EFS]) and assessed its predictive ability for negative outcomes including 30-day mortality. RESULTS: Median FI was .17 (interquartile range [IQR]) = .10-.24) for ICU patients and .17 (IQR = .11-.25) for surgical patients; maximum FI was .58, and 25% (95% confidence interval [CI] = 10.4-29.6) of patients overall were diagnosed with frailty (FI score ≥.25). Correlation was strong between the FI and the EFS: ρ = .76 (95% CI = .70-.83) for ICU patients and .71 (95% CI = .64-.78) for surgical patients, and the CFS was .77 (95% CI = .70-.84) for ICU patients and .72 (95% CI = .65-.79) for surgical patients. The FI had good discriminative ability for prediction of 30-day mortality in ICU patients (multivariate odds ratio for each increase in FI of .1 = 2.04 [95% CI = 1.19-3.48]), comparable with the performance of the Acute Physiology and Chronic Health Evaluation III score (ICU patients) and the Portsmouth Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity score (surgical patients). CONCLUSION: It is feasible to construct an FI from hospital admission data in a cohort of critically ill and surgical patients.

Accuracy of the Clinical Frailty Scale for perioperative frailty screening: a prospective observational study.

PURPOSE: Perioperative frailty increases postoperative complications, mortality, and new functional dependence. Despite this, routine perioperative frailty screening is not widespread. We aimed to assess the accuracy of the Clinical Frailty Scale (CFS) as a screening tool prior to anesthesia, and to determine which health domains are affected by frailty. METHODS: In a prospective, single-centre observational study, we enrolled 218 patients aged ≥ 65 yr undergoing elective and emergency surgery. The screening performance of the CFS was compared with the Edmonton Frail Scale, including the effect in individual frailty domains, and outcomes including discharge location and mortality. RESULTS: The median [interquartile range] age of the enrolled subjects was 74 [69-80] yr and 24% of the patients were frail. The CFS and Edmonton scales were highly correlated (Spearman correlation coefficient, 0.81; 95% confidence interval [CI], 0.77 to 0.86), and in substantial agreement (kappa coefficient, 0.76; 95% CI, 0.70 to 0.81), with an area under the receiver operating characteristic curve of 0.91 (95% CI, 0.86 to 0.94) indicating excellent discrimination for the CFS in predicting frailty status based on the Edmonton scale. Frail patients had higher 30-day mortality (odds ratio, 5.26; 95% CI, 1.28 to 21.62), and were less likely to be discharged home. Frail patients had poorer health throughout frailty domains, including functional dependence (42% of frail vs 4% of non-frail patients; P < 0.001), malnutrition (48% vs 19%, P < 0.001), and poor physical performance (47% vs 7%, P < 0.001). CONCLUSION: The CFS is a valid and accurate tool to screen for perioperative frailty, which encompasses the spectrum of health-related domains.

RéSUMé: OBJECTIF: La fragilité périopératoire augmente les complications postopératoires, la mortalité et une nouvelle dépendance fonctionnelle. Le dépistage de routine de la fragilité périopératoire n'est cependant pas une pratique répandue. Nous avions pour objectif d'évaluer la précision de l'échelle de mesure de fragilité CFS (pour Clinical Frailty Scale) comme outil de dépistage préanesthésique et de déterminer quels domaines de la santé étaient affectés par la fragilité. MéTHODE: Nous avons recruté 218 patients âgés de plus de 65 ans et subissant une chirurgie non urgente ou urgente dans notre étude observationnelle prospective et monocentrique. Les résultats du dépistage de la CFS ont été comparés à l'échelle de fragilité d'Edmonton (Edmonton Frail Scale), y compris en ce qui a trait à l'effet de la fragilité sur les domaines individuels de fragilité et aux résultats tels que la destination au congé et la mortalité. RéSULTATS: L'âge médian [écart interquartile] des patients recrutés était de 74 [69­80] ans et 24 % des patients étaient fragiles. Les échelles CFS et d'Edmonton avaient une forte corrélation (coefficient de corrélation de Spearman, 0,81; intervalle de confiance [IC] 95 %, 0,77 à 0,86) et étaient en accord substantiel (coefficient kappa, 0,76; IC 95 %, 0,70 à 0,81), avec une surface sous la courbe de fonction d'efficacité de l'observateur de 0,91 (IC 95 %, 0,86 à 0,94), indiquant une discrimination excellente de la CFS pour prédire l'état de fragilité fondé sur l'échelle d'Edmonton. Les patients fragiles souffraient d'une mortalité à 30 jours plus élevée (rapport de cotes, 5,26; IC 95 %, 1,28 à 21,62) et il était moins probable qu'ils reçoivent leur congé de l'hôpital à la maison. Les patients fragiles étaient en moins bonne santé dans tous les domaines de fragilité, notamment en dépendance fonctionnelle (42 % des patients fragiles vs 4 % des patients non fragiles; P < 0,001), en malnutrition (48 % vs 19 %, P < 0,001) et en mauvaise performance physique (47 % vs 7 %, P < 0,001). CONCLUSION: L'échelle CFS constitue un outil valable et précis pour dépister la fragilité périopératoire, qui englobe l'éventail des domaines liés à la santé.

Protocol for a prospective observational study to develop a frailty index for use in perioperative and critical care.

INTRODUCTION: Frailty is of increasing importance to perioperative and critical care medicine, as the proportion of older patients increases globally. Evidence continues to emerge of the considerable impact frailty has on adverse outcomes from both surgery and critical care, which has led to a proliferation of different frailty measurement tools in recent years. Despite this, there remains a lack of easily implemented, comprehensive frailty assessment tools specific to these complex populations. Development of a frailty index using routinely collected hospital data, able to leverage the automated aspects of an electronic medical record, would aid risk stratification and benefit clinicians and patients alike. METHODS AND ANALYSIS: This is a prospective observational study. 150 intensive care unit (ICU) patients aged ≥50 years and 200 surgical patients aged ≥65 years will be enrolled. The primary objective is to develop a frailty index. Secondary objectives include assessing its ability to predict in-hospital mortality and/or discharge to a new non-home location; the performance of the frailty index in predicting postoperative and ICU complications, as well as health-related quality of life at 6 months; to compare the performance of the frailty index against existing frailty measurement and risk stratification tools; and to assess its modification by patients' health assets. ETHICS AND DISSEMINATION: This study has been approved by the Melbourne Health Human Research Ethics Committee(20 January 2017, HREC/16/MH/321). Dissemination will be via international and national anaesthetic and critical care conferences, and publication in the peer-reviewed literature.

The clinical frailty scale predicts functional decline and mortality when used by junior medical staff: a prospective cohort study.

BACKGROUND: Increasing frailty is associated with risk of mortality and functional decline in hospitalized older adults, but there is no consensus on the best screening method for use by non-geriatricians. The objective of this study is to determine whether the clinical frailty scale (CFS) can be used to identify patient baseline frailty status in the acute general medical setting when used by junior medical staff using information obtained on routine clinical assessment. METHODS: This was a prospective cohort study in an acute general medical unit. All patients aged 65 and over admitted to a general medical unit during August and September 2013 were eligible for the study. CFS score at baseline was documented by a member of the treating medical team. Demographic information and outcomes were obtained from medical records. The primary outcomes were functional decline and death within three months. RESULTS: Frailty was assessed in 95 % of 179 eligible patients. 45 % of patients experienced functional decline and 11 % died within three months. 40 % of patients were classified as vulnerable/mildly frail, and 41 % were moderately to severely frail. When patients in residential care were excluded, increasing frailty was associated with functional decline (p = 0.011). Increasing frailty was associated with increasing mortality within three months (p = 0.012). CONCLUSIONS: A high proportion of eligible patients had the frailty measure completed, demonstrating the acceptability of the CFS to clinicians. Despite lack of training for medical staff, increasing frailty was correlated with functional decline and mortality supporting the validity of the CFS as a frailty screening tool for clinicians.

Postoperative B-type natriuretic peptide for prediction of major cardiac events in patients undergoing noncardiac surgery: systematic review and individual patient meta-analysis.

BACKGROUND: It is unclear whether postoperative B-type natriuretic peptides (i.e., BNP and N-terminal proBNP) can predict cardiovascular complications in noncardiac surgery. METHODS: The authors undertook a systematic review and individual patient data meta-analysis to determine whether postoperative BNPs predict postoperative cardiovascular complications at 30 and 180 days or more. RESULTS: The authors identified 18 eligible studies (n = 2,051). For the primary outcome of 30-day mortality or nonfatal myocardial infarction, BNP of 245 pg/ml had an area under the curve of 0.71 (95% CI, 0.64-0.78), and N-terminal proBNP of 718 pg/ml had an area under the curve of 0.80 (95% CI, 0.77-0.84). These thresholds independently predicted 30-day mortality or nonfatal myocardial infarction (adjusted odds ratio [AOR] 4.5; 95% CI, 2.74-7.4; P < 0.001), mortality (AOR, 4.2; 95% CI, 2.29-7.69; P < 0.001), cardiac mortality (AOR, 9.4; 95% CI, 0.32-254.34; P < 0.001), and cardiac failure (AOR, 18.5; 95% CI, 4.55-75.29; P < 0.001). For greater than or equal to 180-day outcomes, natriuretic peptides independently predicted mortality or nonfatal myocardial infarction (AOR, 3.3; 95% CI, 2.58-4.3; P < 0.001), mortality (AOR, 2.2; 95% CI, 1.67-86; P < 0.001), cardiac mortality (AOR, 2.1; 95% CI, 0.05-1,385.17; P < 0.001), and cardiac failure (AOR, 3.5; 95% CI, 1.0-9.34; P = 0.022). Patients with BNP values of 0-250, greater than 250-400, and greater than 400 pg/ml suffered the primary outcome at a rate of 6.6, 15.7, and 29.5%, respectively. Patients with N-terminal proBNP values of 0-300, greater than 300-900, and greater than 900 pg/ml suffered the primary outcome at a rate of 1.8, 8.7, and 27%, respectively. CONCLUSIONS: Increased postoperative BNPs are independently associated with adverse cardiac events after noncardiac surgery.