Upper-extremity function prospectively predicts adverse discharge and all-cause COPD readmissions: a pilot study

Autor: Nima Toosizadeh, Martha Jane Mohler, Hossein Ehsani, Todd Golden
Rok vydání: 2018
Předmět:
Male
Time Factors
Exacerbation
Hospitalized patients
early readmission
Pilot Projects
Pulmonary Disease
Chronic Obstructive

Patient Admission
0302 clinical medicine
Risk Factors
Longitudinal Studies
Prospective Studies
030212 general & internal medicine
Original Research
COPD
General Medicine
Middle Aged
adverse health outcomes
Prognosis
Patient Discharge
Biomechanical Phenomena
Frailty assessment
Female
Analysis of variance
medicine.medical_specialty
Adverse outcomes
Frail Elderly
frailty
International Journal of Chronic Obstructive Pulmonary Disease
gait
Patient Readmission
Risk Assessment
biomechanics
Decision Support Techniques
Upper Extremity
03 medical and health sciences
Predictive Value of Tests
Internal medicine
medicine
Humans
Geriatric Assessment
Physical Examination
Aged
business.industry
wearable sensors
Discharge disposition
Length of Stay
medicine.disease
030228 respiratory system
Feasibility Studies
business
All cause mortality
Zdroj: International Journal of Chronic Obstructive Pulmonary Disease
ISSN: 1178-2005
Popis: Hossein Ehsani,1,2 Martha Jane Mohler,1–3 Todd Golden,2 Nima Toosizadeh1–3 1Department of Biomedical Engineering, University of Arizona, Tucson, AZ, USA; 2Arizona Center on Aging, Department of Medicine, University of Arizona, Tucson, AZ, USA; 3Division of Geriatrics, General Internal Medicine and Palliative Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USA Background: Frailty can inform management approaches for individuals with COPD. However, inpatient measures of frailty are seldom employed because they are time-consuming or inapplicable for bed-bound patients. We investigated the feasibility and potential of an innovative sensor-based upper-extremity function (UEF) test for frailty assessment in predicting adverse outcomes. Methods: Hospitalized patients with COPD-related exacerbations (aged ≥55 years) were recruited and performed the UEF test within 24 hours of admission. UEF parameters were obtained and fed into our previously developed frailty model to calculate frailty status (non-frail, pre-frail, and frail) and frailty score (0: extreme resilience to 1: extreme frailty). In-hospital (length of stay) and post-discharge (discharge disposition, 30-day exacerbation with treatment, and all-cause 30-day readmission) outcomes were collected. Associations between UEF frailty and outcomes were investigated using ANOVA and logistic models adjusted for demographic data. Results: In total, 42 patients were recruited. All participants were able to perform the UEF test. Based on UEF, participants were stratified into three groups of non-frail (n=6, frailty score =0.18±0.09), pre-frail (n=14, frailty score =0.45±0.09), and frail (n=22, frailty score =0.78±0.11). Both frailty status and frailty score were significantly associated with unfavorable discharge disposition (P0.5) nor 30-day exacerbation with treatment (P>0.70). Age was only significantly associated with unfavorable discharge disposition (P=0.048). Conclusion: In agreement with previous work, the current findings underline the importance of measuring frailty for risk-stratification of COPD patients. The UEF was feasible and easily performed among all hospitalized COPD patients. In this study, we have shown that, using our quick and objective frailty measures, COPD patients can be prospectively risk-stratified in terms of unfavorable discharge disposition and all-cause 30-day readmissions. Keywords: COPD, frailty, adverse health outcomes, early readmission, biomechanics, gait, wearable sensors
Databáze: OpenAIRE