Clinical frailty independently predicts early mortality after ischaemic stroke.

BACKGROUND: Clinical frailty is an important syndrome for clinical care and research, independently predicting mortality and rates of institutionalisation in a range of medical conditions. However, there has been little research into the role of frailty in stroke. OBJECTIVE: This study investigates the effect of frailty on 28-day mortality following ischaemic stroke and outcomes following stroke thrombolysis. METHODS: Frailty was measured using the Clinical Frailty Scale (CFS) for all ischaemic stroke admissions aged ≥75 years. Stroke severity was measured using the National Institutes of Health Stroke Scale (NIHSS). 28-day mortality and clinical outcomes were collected retrospectively. Analysis included both dichotomised measures of frailty (non-frail: CFS 1-4, frail: 5-8) and CFS as a continuous ordinal scale. RESULTS: In 433 individuals with ischaemic stroke, 28-day mortality was higher in frail versus non-frail individuals (39 (16.7%) versus 10 (5%), P < 0.01). On multivariable analysis, a one-point increase in CFS was independently associated with 28-day mortality (OR 1.03 (1.01-1.05)). In 63 thrombolysed individuals, median NIHSS reduced significantly in non-frail individuals (12.5 (interquartile range (IQR) 9.25) to 5 (IQR 10.5), P < 0.01) but not in frail individuals (15 (IQR 11.5) to 16 (IQR 16.5), P = 0.23). On multivariable analysis, a one-point increase in CFS was independently associated with a one-point reduction in post-thrombolysis NIHSS improvement (coefficient 1.07, P = 0.03). CONCLUSION: Clinical frailty is independently associated with 28-day mortality after ischaemic stroke and appears independently associated with attenuated improvement in NIHSS following stroke thrombolysis. Further research is needed to elucidate the underlying mechanisms and how frailty may be utilised in clinical decision-making.

Predicting readmissions: poor performance of the LACE index in an older UK population.

INTRODUCTION: interventions to prevent hospital readmission depend on the identification of patients at risk. The LACE index predicts readmission (and death) and is in clinical use internationally. The LACE index was investigated in an older UK population. METHODS: randomly selected alive-discharge episodes were reviewed. A LACE score was calculated for each patient and assessed using receiver operator characteristic (ROC) curves. A logistic regression model was constructed, compared with the LACE and validated in a separate population. RESULTS: a total of 507 patients were included with a mean (SD) age of 85 (6.5) years; 17.8% were readmitted and 4.5% died within 30 days. The median LACE score of those readmitted compared with those who were not was 12.5 versus 12 (P = 0.13). The Lace index was only a fair predictor of both 30-day readmission and death with c-statistics of 0.55 and 0.70, respectively. Only the emergency department visit was an independent predictor of readmission, with a c-statistic of 0.61 for readmission. In a validation cohort of 507 cases, the c-statistic of the regression model was 0.57. CONCLUSION: the LACE index is a poor tool for predicting 30-day readmission in older UK inpatients. The absence of a simple predictive model may limit the benefit of readmission avoidance strategies.

Allocating patients to geriatric medicine wards in a tertiary university hospital in England: A service evaluation of the Specialist Advice for the Frail Elderly (SAFE) team.

The number of older patients admitted to acute hospitals has increased; however, their needs are heterogeneous and there is no gold-standard method of triaging them towards practicing comprehensive geriatric assessment (CGA). In our hospital, the SAFE (Specialist Advice for the Frail Elderly) team provide an initial geriatric assessment of all emergency admissions of patients aged ≥75 years (with some assessments also occurring in those aged 65 to 74 years) and recommend as to whether CGA in a dedicated Department of Medicine for the Elderly (DME) ward may be required. SAFE assessments include routine screening for geriatric syndromes using validated tools. Our aim was to compare the characteristics (age, gender, acute illness severity on admission as per modified early warning score (MEWS), Charlson Comorbidity Index, Clinical Frailty Scale (CFS), presence of dementia and delirium) and outcomes (length of stay, delayed discharge, inpatient mortality, discharge to usual place of residence, and new institutionalization) of patients listed to a DME ward, to those not listed. We analyzed all SAFE team assessments of patients admitted nonelectively between February 2015 and November 2016. Of 6192 admissions, 16% were listed for a DME ward. Those were older, had higher MEWS and CFS score, were more often affected by cognitive impairment, had longer hospital stay, higher inpatient mortality, and more often required new institutionalization. Higher CFS and presence of dementia and delirium were the strongest predictors of DME ward recommendation. Routine measurement of markers of geriatric complexity may help maximize access to finite inpatient CGA resources.