Can usual gait speed be used as a prognostic factor for early palliative care identification in hospitalized older patients? A prospective study on two different wards.


Journal

BMC geriatrics
ISSN: 1471-2318
Titre abrégé: BMC Geriatr
Pays: England
ID NLM: 100968548

Informations de publication

Date de publication:
24 11 2020
Historique:
received: 03 05 2020
accepted: 12 11 2020
entrez: 25 11 2020
pubmed: 26 11 2020
medline: 9 2 2021
Statut: epublish

Résumé

Timely palliative care in frail older persons remains challenging. Scales to identify older patients at risk of functional decline already exist. However, factors to predict short term mortality in older hospitalized patients are scarce. In this prospective study, we recruited patients of 75 years and older at the department of cardiology and geriatrics. The usual gait speed measurement closest to discharge was chosen. We used the risk of dying within 1 year as parameter for starting palliative care. ROC curves were used to determine the best cut-off value of usual gait speed to predict one-year mortality. Time to event analyses were assessed by COX regression. On the acute geriatric ward (n = 60), patients were older and more frail (assessed by Katz and iADL) in comparison to patients on the cardiology ward (n = 82); one-year mortality was respectively 27 and 15% (p = 0.069). AUC on the acute geriatric ward was 0.748 (p = 0.006). The best cut-off value was 0.42 m/s with a sensitivity and specificity of 0.857 and 0.643. Slow walkers died earlier than faster walkers (HR 7.456, p = 0.011), after correction for age and sex. On the cardiology ward, AUC was 0.560 (p = 0.563); no significant association was found between usual gait speed and survival time. Usual gait speed may be a valuable prognostic factor to identify patients at risk for one-year mortality on the acute geriatric ward but not on the cardiology ward.

Sections du résumé

BACKGROUND
Timely palliative care in frail older persons remains challenging. Scales to identify older patients at risk of functional decline already exist. However, factors to predict short term mortality in older hospitalized patients are scarce.
METHODS
In this prospective study, we recruited patients of 75 years and older at the department of cardiology and geriatrics. The usual gait speed measurement closest to discharge was chosen. We used the risk of dying within 1 year as parameter for starting palliative care. ROC curves were used to determine the best cut-off value of usual gait speed to predict one-year mortality. Time to event analyses were assessed by COX regression.
RESULTS
On the acute geriatric ward (n = 60), patients were older and more frail (assessed by Katz and iADL) in comparison to patients on the cardiology ward (n = 82); one-year mortality was respectively 27 and 15% (p = 0.069). AUC on the acute geriatric ward was 0.748 (p = 0.006). The best cut-off value was 0.42 m/s with a sensitivity and specificity of 0.857 and 0.643. Slow walkers died earlier than faster walkers (HR 7.456, p = 0.011), after correction for age and sex. On the cardiology ward, AUC was 0.560 (p = 0.563); no significant association was found between usual gait speed and survival time.
CONCLUSIONS
Usual gait speed may be a valuable prognostic factor to identify patients at risk for one-year mortality on the acute geriatric ward but not on the cardiology ward.

Identifiants

pubmed: 33234124
doi: 10.1186/s12877-020-01898-w
pii: 10.1186/s12877-020-01898-w
pmc: PMC7687723
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

499

Subventions

Organisme : Koning Boudewijnstichting
ID : Marie-Thérèse De Lava

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Auteurs

Celine Van de Vyver (C)

Department of Geriatric Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium. celinem.vandevyver@ugent.be.

Anja Velghe (A)

Department of Geriatric Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium.

Hilde Baeyens (H)

Department of Geriatric Medicine, AZ Alma Eeklo, Eeklo, Belgium.

Jean-Pierre Baeyens (JP)

Department of Geriatric Medicine, AZ Alma Eeklo, Eeklo, Belgium.

Julien Dekoninck (J)

Department of Geriatric Medicine, AZ Alma Eeklo, Eeklo, Belgium.
Department of Geriatric Medicine, Sint-Andriesziekenhuis, Tielt, Belgium.

Nele Van Den Noortgate (N)

Department of Geriatric Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium.

Ruth Piers (R)

Department of Geriatric Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium.

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