Canadian Study of Health and Aging Clinical Frailty Scale: Does It Predict Adverse Outcomes among Geriatric Trauma Patients?
The Canadian Study of Health and Aging Clinical Frailty Scale (CFS) and the laboratory Frailty Index (FI-lab) are validated tools based on clinical and laboratory data, respectively. Their utility as predictors of geriatric trauma outcomes is unknown. Our primary objective was to determine whether pre-admission CFS is associated with adverse discharge destination. Secondary objectives were to evaluate the relationships between CFS and in-hospital complications and between admission FI-lab and discharge destination.
We performed a 4-year (2011 to 2014) retrospective cohort study with patients 65 years and older admitted to a level I trauma center. Admission FI-lab was calculated using 23 variables collected within 48 hours of presentation. The primary outcome was discharge destination, either adverse (death or discharge to a long-term, chronic, or acute care facility) or favorable (home or rehabilitation). The secondary outcome was in-hospital complications. Multivariable logistic regression was used to evaluate the relationship between CFS or FI-lab and outcomes.
There were 266 patients included. Mean age was 76.5 ± 7.8 years and median Injury Severity Score was 17 (interquartile range 13 to 24). There were 260 patients and 221 patients who had sufficient data to determine CFS and FI-lab scores, respectively. Pre-admission frailty as per the CFS (CFS 6 or 7) was independently associated with adverse discharge destination (odds ratio 5.1; 95% CI 2.0 to 13.2; p < 0.001). Severe frailty on admission, as determined by the FI-lab (FI-lab > 0.4), was not associated with adverse outcomes.
Pre-admission clinical frailty independently predicts adverse discharge destination in geriatric trauma patients. The CFS may be used to triage resources to mitigate adverse outcomes in this population. The FI-lab determined on admission for trauma may not be useful.
Cheung A
,Haas B
,Ringer TJ
,McFarlan A
,Wong CL
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Frailty and Risk of Adverse Outcomes in Hospitalized Older Adults: A Comparison of Different Frailty Measures.
There is a paucity of data for the assessment of frailty in acutely ill hospitalized older adults. We aim to (1) compare the performance of frailty measures [5-item scale of fatigue, resistance, ambulation, illnesses, and loss of weight) (FRAIL), Tilburg Frailty Indicator (TFI), and Clinical Frailty Scale (CFS)] in identifying frailty, using the widely adopted Frailty Index (FI) as "gold standard," and (2) compare their ability to predict negative outcomes among hospitalized older adults.
Prospective cohort study.
Acute inpatient care.
A total of 210 patients (mean age 89.4 ± 4.6 years, 69.5% female) admitted to the Department of Geriatric Medicine.
Premorbid frailty status was assessed by FI, FRAIL, TFI, and CFS. We collected data on comorbidities, severity of illness, functional status, and cognitive status. We compared area under receiver operator characteristic curves for FRAIL, TFI, and CFS against the reference FI. Multiple logistic regression was performed to examine the association between frailty and the primary outcome of in-hospital mortality.
Frailty prevalence estimates were 87.1% (FI), 50% (FRAIL), 80% (TFI), and 81% (CFS). Area under receiver operator characteristics against FI ranged from 0.81 [95% confidence interval (CI) 0.72-0.90: FRAIL] to 0.91 (95% CI 0.87-0.95: CFS), with no significant difference on receiver operating characteristic curve contrast. Frailty, as defined by FRAIL score ≥3, was associated with higher in-hospital mortality (6.7% vs 1.0%, P = .031) and length of hospitalization [10 days (6.0-17.5) vs 8 days (5.0-14.0), P = .043]. FI [odds ratio (OR) = 1.15, 95% CI 1.00-1.33, P = .05], FRAIL (OR = 3.31, 95% CI 1.43-7.67, P = .005), and CFS (OR = 2.57, 95% CI 1.14-5.83, P = .023) independently predicted in-hospital mortality adjusted for age, sex, and severity of illness.
FRAIL and CFS are simple frailty measures that may identify older adults at highest risk of adverse outcomes of hospitalization. FRAIL performed better in predicting in-hospital mortality.
Chong E
,Ho E
,Baldevarona-Llego J
,Chan M
,Wu L
,Tay L
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Validating trauma-specific frailty index for geriatric trauma patients: a prospective analysis.
The Frailty Index has been shown to predict discharge disposition in geriatric patients. The aim of this study was to validate the modified 15-variable Trauma-Specific Frailty Index (TSFI) to predict discharge disposition in geriatric trauma patients. We hypothesized that TSFI can predict discharge disposition in geriatric trauma patients.
We performed a 2-year (2011-2013) prospective analysis of all geriatric trauma patients presenting to our Level I trauma center. Patient discharge disposition was dichotomized into unfavorable (discharge to skilled nursing facility or death) and favorable (discharge to home or rehabilitation center) discharge disposition. Patients were evaluated using the developed 15-variable TSFI. Multivariate logistic regression was performed to identify factors that predict unfavorable discharge disposition.
A total of 200 patients were enrolled for validation of TSFI. Mean age was 77 ± 12.1 years, median Injury Severity Score was 15 (interquartile range [IQR] 9 to 20), median Glasgow Coma Scale score was 14 (IQR 13 to 15), and median Frailty Index score was 0.20 (IQR 0.17 to 0.28); 29.5% (n = 59) patients had unfavorable discharge. After adjusting for age, sex, Injury Severity Score, Head Abbreviated Injury Scale, and vitals on admission, Frailty Index (odds ratio = 1.5; 95% CI, 1.1-2.5) was the only significant predictor for unfavorable discharge disposition. Age (odds ratio = 1.2; 95% CI, 0.9-3.1; p = 0.2) was not predictive of unfavorable discharge disposition.
The 15-variable TSFI is an independent predictor of unfavorable discharge disposition in geriatric trauma patients. The Trauma-Specific Frailty Index is an effective tool that can aid clinicians in planning discharge disposition of geriatric trauma patients.
II Prognostic Studies-Investigating the Effect of a Patient Characteristic on the Outcome of Disease.
Joseph B
,Pandit V
,Zangbar B
,Kulvatunyou N
,Tang A
,O'Keeffe T
,Green DJ
,Vercruysse G
,Fain MJ
,Friese RS
,Rhee P
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