&lt;p&gt;Gait Speed at Discharge and Risk for Readmission or Death: A Prospective Study of an Emergency Ward Population&lt;/p&gt;

Hertzberg, Daniel; Luksha, Yauheni; Kus, Ismail; Eslampia, Parto; Pickering, John W.; Holzmann, Martin J.

doi:10.2147/oaem.s229479

Cited by 5 publications

(4 citation statements)

References 19 publications

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“…In addition, each 0.1 m/s lower gait speed was associated with a 10% higher odd of unplanned readmissions (OR 1.05 [ 95% CI 1.02 to 1.36]) and the odds for readmission were 3.95 times higher in the quartile with the slowest walkers compared to the fastest walkers (4.15 OR [ 95% CI 1.25 to 5.90]). These results are similar to those in the work of Hertzberg et al (2020) who found that for each 0.1 m/s decrease in 10MWT the ratio for 30-day readmission was 1.13 in the emergency ward population. Therefore, gait speed obtained through 10MWT seems to indicate physical impairment and, along with other risk factors, a helpful variable to determine the risk of early readmission in critical care survivors (Hertezerberg, 2020;Kon et al, 2015).…”

Section: Discussionsupporting

confidence: 90%

“…(2020) who found that for each 0.1 m/s decrease in 10MWT the ratio for 30‐day readmission was 1.13 in the emergency ward population. Therefore, gait speed obtained through 10MWT seems to indicate physical impairment and, along with other risk factors, a helpful variable to determine the risk of early readmission in critical care survivors (Hertezerberg, 2020; Kon et al., 2015).…”

Section: Discussionmentioning

confidence: 99%

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Gait speed, muscle strength, and functional status predict 30‐day unplanned hospital readmission of critical care survivors

Melo

Guimarães

Silva

2023

Physiotherapy Res Intl

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Background and Purpose: Despite intense efforts, predicting hospital readmission risks remains an imprecise task. Growing evidence suggests that unmeasured patientrelated factors, such as functional impairment, seem to be strongly associated with acute readmission and have yet to be extensively explored. We hypothesized that gait speed, hand grip strength, and the Functional independence measure (FIM) might be associated with acute rehospitalization rates after an ICU stay. Methods:In our study, we assessed gait speed using a 10-m walk test. Muscle strength was determined by a hydraulic handgrip dynamometer and functional status through the FIM. Our primary outcome was the cumulative incidence of the first unplanned early rehospitalization (occurring within 30 days of hospital discharge) for the entire cohort, and a Receiver Operator Characteristic (ROC) analysis was used to determine the accuracy of gait speed, handgrip strength, and FIM domains in predicting hospital readmission.Results: ROC analysis indicated that the gait speed (AUC 0.96 95% CI 0.93 to 0.99), FIM score (AUC 0.96 95% CI 0.94 to 0.99) and handgrip strength (0.85 95% CI 0.76 to 0.94) were considered accurate predictors of unplanned readmission in the population studied. Additionally, we found that each 0.1 m/s lower gait speed was associated with a 10% higher odd of unplanned readmissions. Conclusion:Hence, our results suggest gait speed, handgrip strength and functional status demonstrated high potential to contribute to the determination of 30-day unplanned hospital readmission prediction of critical care survivors.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Gait speed, muscle strength, and functional status predict 30‐day unplanned hospital readmission of critical care survivors

Melo

Guimarães

Silva

2023

Physiotherapy Res Intl

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“…Decreased walking speed has been proposed to be a surrogate marker of frailty and is associated with mortality, hospitalization, and nursing home disposition [51]. Further, some previous studies reported that low gait speed at discharge was associated with an increased risk of readmission [51,52]. It is hypothesized that gait impairment may represent a composite of other risk factors such as age, comorbidities, poor cardiopulmonary function, decrease in muscle strength or mass [53], falls [54], and the other characteristics that may be related to the risk of early readmission.…”

Section: Cga and Readmissionmentioning

confidence: 99%

Prediction of 30-Day Readmission in Hospitalized Older Adults Using Comprehensive Geriatric Assessment and LACE Index and HOSPITAL Score

Sun

Chou

Lee

et al. 2022

IJERPH

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(1) Background: Elders have higher rates of rehospitalization, especially those with functional decline. We aimed to investigate potential predictors of 30-day readmission risk by comprehensive geriatric assessment (CGA) in hospitalized patients aged 65 years or older and to examine the predictive ability of the LACE index and HOSPITAL score in older patients with a combination of malnutrition and physical dysfunction. (2) Methods: We included patients admitted to a geriatric ward in a tertiary hospital from July 2012 to August 2018. CGA components including cognitive, functional, nutritional, and social parameters were assessed at admission and recorded, as well as clinical information. The association factors with 30-day hospital readmission were analyzed by multivariate logistic regression analysis. The predictive ability of the LACE and HOSPITAL score was assessed using receiver operator characteristic curve analysis. (3) Results: During the study period, 1509 patients admitted to a ward were recorded. Of these patients, 233 (15.4%) were readmitted within 30 days. Those who were readmitted presented with higher comorbidity numbers and poorer performance of CGA, including gait ability, activities of daily living (ADL), and nutritional status. Multivariate regression analysis showed that male gender and moderately impaired gait ability were independently correlated with 30-day hospital readmissions, while other components such as functional impairment (as ADL) and nutritional status were not associated with 30-day rehospitalization. The receiver operating characteristics for the LACE index and HOSPITAL score showed that both predicting scores performed poorly at predicting 30-day hospital readmission (C-statistic = 0.59) and did not perform better in any of the subgroups. (4) Conclusions: Our study showed that only some components of CGA, mobile disability, and gender were independently associated with increased risk of readmission. However, the LACE index and HOSPITAL score had a poor discriminating ability for predicting 30-day hospitalization in all and subgroup patients. Further identifiers are required to better estimate the 30-day readmission rates in this patient population.

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“…It is particularly important that the mean age of the examined patients was 60.56 ± 5.11 years. This means that gait pattern disorders and a higher risk of falling may occur in patients operated on for the most common malignancies much earlier than indicated by the literature review [39][40][41]. It is recognized that falls are a serious problem among older people; the incidence of falls increases with age [42].…”

Section: Discussionmentioning

confidence: 99%

Walking Speed and Risk of Falling Patients Operated for Selected Malignant Tumors

Latajka,

Stefańska,

Woźniewski

et al. 2023

Healthcare

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Background: A literature review reveals that studies on walking and fall occurrences in the context of cancer have predominantly centered on geriatric patients. Nonetheless, cancer patients of all ages are susceptible to such risks. Both cancer and its treatments contribute to significant risk factors for disturbances in walking and falls, encompassing muscle weakness, impaired balance, reduced proprioception, cognitive impairment, and functional limitations. Aim: to assess walking speed and the risk of falls among patients undergoing surgery for the most common malignancies: breast (BU), lung (P), colorectal (DS), and reproductive organs (G). Material and Methods: An observational study was conducted using a cohort design. A total of 176 individuals participated in the study, including 139 cancer patients, who were divided into four groups: BU (N = 30), P (N = 35), DS (N = 35), and G (N = 39), as well as 37 healthy volunteers in the control group (C, N = 37). All participants underwent an assessment of walking speed using BTS G-WALK® and an evaluation of the number of falls and the risk of falling using a Fall Control Card. Results: There was a significant decrease in walking speed after surgery compared to the time before surgery, from 2.7% in the BU group, through 9.3% in the P group, and 19.2% in the DS group, to 30.0% in the G group. At the same time, for groups G and DS, the average walking speed fell below 1.0 m/s, amounting to 0.84 m/s and 0.97 m/s, respectively, in the measurement after the surgery and 0.95 m/s and 1.0 m/s in the follow-up measurement. Falling occurred in all the groups except for the BU group. The created logistic regression model showed that increasing the walking speed measured after the procedure (study 2) by 1 m/s reduces the risk of falling by approximately 500 times (OR = 0.002). Limitations in daily activity were observed in the follow-up examination (study 3) in 75% of patients. Conclusions: Surgical intervention has an impact on walking speed, and being part of the study group influences the risk of falling. Further research is needed to determine the precise risk of falls in cancer patients.

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<p>Gait Speed at Discharge and Risk for Readmission or Death: A Prospective Study of an Emergency Ward Population</p>

Cited by 5 publications

References 19 publications

Gait speed, muscle strength, and functional status predict 30‐day unplanned hospital readmission of critical care survivors

Gait speed, muscle strength, and functional status predict 30‐day unplanned hospital readmission of critical care survivors

Prediction of 30-Day Readmission in Hospitalized Older Adults Using Comprehensive Geriatric Assessment and LACE Index and HOSPITAL Score

Walking Speed and Risk of Falling Patients Operated for Selected Malignant Tumors

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