Literature DB >> 23609772

Handgrip strength at admission and time to discharge in medical and surgical inpatients.

Joana Mendes1, Ana Azevedo, Teresa F Amaral.   

Abstract

BACKGROUND AND
OBJECTIVE: Handgrip strength is a relevant marker of functional status and is also a component of nutrition assessment. The simplicity of this measurement supports its usefulness as a tool to predict who will likely take longer to hospital discharge. The aim of this study was to quantify the association between sex-specific handgrip strength at hospital admission and time to discharge alive. We intended to include a group of diverse diagnoses and to compare medical and surgical wards, taking into account the potential confounders' effect of patients' characteristics and severity of disease. SUBJECTS AND METHODS: Prospective study in 2 public acute-care general hospitals in Porto, Portugal, in 2004. Handgrip strength was evaluated using a handgrip dynamometer in a probability sample of 425 patients from medical and surgical wards. The association between baseline handgrip strength and time to discharge was evaluated using survival analysis with discharge alive as the outcome and deaths and transfers being censored.
RESULTS: In medical wards, women with high admission handgrip strength had a very short hospital stay (all had been discharged by the sixth day), and among men, patients with low handgrip strength had a particularly longer stay (approximately 50% were discharged after 15 days of hospitalization). In surgical wards, an increasing length of stay with decreasing handgrip strength quartiles was also observed in both sexes.
CONCLUSIONS: Lower handgrip strength at hospital admission was associated with a longer time in the hospital, in patients of both sexes, in medical and surgical wards. Although this association was explained in part by age, height, education level, cognitive status, and disease severity, its direction remained unchanged regardless of the aforementioned factors.

Entities:  

Keywords:  diagnosis-related groups; hand strength; length of stay; nutrition status; patient discharge; prognosis

Mesh:

Year:  2013        PMID: 23609772     DOI: 10.1177/0148607113486007

Source DB:  PubMed          Journal:  JPEN J Parenter Enteral Nutr        ISSN: 0148-6071            Impact factor:   4.016


  12 in total

1.  Handgrip strength measurement as a predictor of hospitalization costs.

Authors:  R S Guerra; T F Amaral; A S Sousa; F Pichel; M T Restivo; S Ferreira; I Fonseca
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2.  Association of handgrip strength with patient-reported outcome measures after total hip and knee arthroplasty.

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3.  Handgrip strength cutoff values for undernutrition screening at hospital admission.

Authors:  R S Guerra; I Fonseca; F Pichel; M T Restivo; T F Amaral
Journal:  Eur J Clin Nutr       Date:  2014-10-29       Impact factor: 4.016

4.  Handgrip Strength in Chronic Obstructive Pulmonary Disease. Associations with Acute Exacerbations and Body Composition.

Authors:  Carlos H Martinez; Alejandro A Diaz; Catherine A Meldrum; Merry-Lynn N McDonald; Susan Murray; Gregory L Kinney; John E Hokanson; Jeffrey L Curtis; Russell P Bowler; MeiLan K Han; George R Washko; Elizabeth A Regan
Journal:  Ann Am Thorac Soc       Date:  2017-11

5.  Handgrip strength values of Portuguese older adults: a population based study.

Authors:  Joana Mendes; Teresa F Amaral; Nuno Borges; Alejandro Santos; Patrícia Padrão; Pedro Moreira; Cláudia Afonso; Rita Negrão
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6.  Nutritional status and gait speed in a nationwide population-based sample of older adults.

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8.  Grip strength among community-dwelling older people predicts hospital admission during the following decade.

Authors:  Shirley J Simmonds; Holly E Syddall; Leo D Westbury; Richard M Dodds; Cyrus Cooper; Avan Aihie Sayer
Journal:  Age Ageing       Date:  2015-11       Impact factor: 10.668

9.  G×E Interaction Influences Trajectories of Hand Grip Strength.

Authors:  Inge Petersen; Nancy L Pedersen; Taina Rantanen; William S Kremen; Wendy Johnson; Matthew S Panizzon; Lene Christiansen; Carol E Franz; Matt McGue; Kaare Christensen; Nayla R Hamdi; Robert F Krueger; Chandra Reynolds
Journal:  Behav Genet       Date:  2015-08-29       Impact factor: 2.805

10.  Prediction and discrimination of skeletal muscle function by bioelectrical impedance vector analysis using a standing impedance analyzer in healthy Taiwanese adults.

Authors:  Li-Wen Lee; Hsueh-Kuan Lu; Yu-Yawn Chen; Chung-Liang Lai; Lee-Ping Chu; Meng-Che Hsieh; Kuen-Chang Hsieh
Journal:  PLoS One       Date:  2020-06-12       Impact factor: 3.240

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