ArticleOpen access emergency medicine : OAEM2020
Gait Speed at Discharge and Risk for Readmission or Death: A Prospective Study of an Emergency Ward Population.
Article in Open access emergency medicine : OAEM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Gait Speed as a Measure of Frailty and Outcomes After Lung Resection.Annals of surgical oncology · 2025Article
- Walking Speed and Risk of Falling Patients Operated for Selected Malignant Tumors.Healthcare (Basel, Switzerland) · 2023Article
- Prediction of 30-Day Readmission in Hospitalized Older Adults Using Comprehensive Geriatric Assessment and LACE Index and HOSPITAL Score.International journal of environmental research and public health · 2022Article
- Quality of life after hospitalization predicts one-year readmission risk in a large Swiss cohort of medical in-patients.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere has been a growing interest in measuring gait speed for assessing long-term mortality and risk for hospital readmission in different populations.
objectiveWe studied the association between a 10-meter gait speed test at hospital discharge and the risk for 30- and 90-day hospital readmission or death in a mixed population of patients hospitalized for emergency care. PATIENTS AND
methodsPatients were prospectively included from 5 wards at the Karolinska University Hospital. The 10-meter gait speed test was measured on the day of discharge. Statistical analysis was performed using logistic regression.
resultsA total of 344 patients were included. Forty-one patients (n=41) were readmitted to hospital or died within 30 days, and 81 were readmitted or died within 90 days after discharge. Readmitted patients were older and had more comorbidities. A 0.1 m/s reduction in gait speed was associated with a 13% greater odds of readmission or death within 30 days (OR 1.13 [95% CI 1.00-1.26]). The area under the receiver operating characteristic curve (AUC) was 0.59 (95% CI 0.51-0.68). The results were similar for 90-day readmission or death where a 0.1 m/s decrement in gait speed was associated with an OR of 1.13 (95% CI 1.04-1.24). When age, eGFR, hemoglobin concentration, and active cancer, which all were univariate predictors of 30-day readmissions, were added to the model it yielded an AUC of 0.68 (95% CI 0.60 to 0.77).
conclusionIn a mixed population of patients hospitalized for emergency care, low gait speed at discharge was associated with an increased risk of 30- and 90-day readmission or death. However, the test did not discriminate well between those who were readmitted or died and those who did not; therefore we do not recommend its use as a stand-alone test in this population.
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