Evidence map›Paper›PMID 32440235›Full record

ArticleOpen access emergency medicine : OAEM2020

Gait Speed at Discharge and Risk for Readmission or Death: A Prospective Study of an Emergency Ward Population.

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

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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 · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Daniel HertzbergDepartment of Medicine, Karolinska Institutet, Solna, Stockholm, Sweden.ORCID 0000-0002-9012-6365
Yauheni Luksha *Functional Area of Emergency Medicine, Karolinska University Hospital, Huddinge, Stockholm, Sweden.
Ismail Kus *Functional Area of Emergency Medicine, Karolinska University Hospital, Huddinge, Stockholm, Sweden.ORCID 0000-0002-2161-295X
Parto EslampiaFunctional Area of Emergency Medicine, Karolinska University Hospital, Huddinge, Stockholm, Sweden.
John W PickeringDepartment of Medicine, University of Otago Christchurch, and Emergency Department Christchurch Hospital, Christchurch, New Zealand.ORCID 0000-0001-9475-0344
Martin J HolzmannDepartment of Medicine, Karolinska Institutet, Solna, Stockholm, Sweden.ORCID 0000-0001-8992-8347
Karolinska University Hospital · SEChristchurch Hospital · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

gait speedhospitalizationpatient readmission

Identifiers

PMID32440235
PMCPMC7211295
OpenAlexW3021396152

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.