Literature DB >> 10995048

Prognosis of functional recovery 1 year after hip fracture: typical patient profiles through cluster analysis.

J P Michel1, P Hoffmeyer, C Klopfenstein, M Bruchez, B Grab, C L d'Epinay.   

Abstract

BACKGROUND: Many investigators have identified distinct medical, demographic and psychosocial prefracture conditions that influence the functional outcome of patients surgically treated for a fracture of the hip. However, to design efficient intervention care programs addressing the needs of these patients, at optimal economic and social costs, more information is required on the typical combinations of prognostic determinants actually encountered.
METHODS: Data on specific descriptors of the prefracture status and on mobility and functioning 1 year after surgical intervention were collected by interview from 253 consecutive patients hospitalized for a fracture of the proximal femur. Cluster analysis was used to form homogeneous groups of patients with similar profiles in terms of the 13 predictive variables and the 7 outcome variables significantly interrelated. The modeling procedure generated four clusters of patients with a typical profile sharply contrasted by their structure.
RESULTS: Subjects of two clusters could walk without difficulty and were functionally independent prior to their hip fracture. One year later, however, mobility and functioning were only fully recovered by the members of one cluster. The majority of predictors were of less favorable prognostic value for the members of the second cluster. The other two clusters regrouped patients with impaired prefracture mobility that were either unaltered or even aggravated 1 year later. CONCLUSIONS. Cluster analysis identified typical profiles of elderly hip fracture patients. Close scrutiny of their respective global structure, in terms of combined prognostic determinants and outcomes, may help to develop specific management strategies that are more efficiently adapted to these different groups of patients.

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Year:  2000        PMID: 10995048     DOI: 10.1093/gerona/55.9.m508

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  14 in total

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Authors:  Samah J Fodeh; Mark Trentalange; Heather G Allore; Thomas M Gill; Cynthia A Brandt; Terrence E Murphy
Journal:  Exp Aging Res       Date:  2015       Impact factor: 1.645

2.  Incidence and risk factors for falling in patients after total knee arthroplasty compared to healthy elderly individuals.

Authors:  Hiromi Matsumoto; Makoto Okuno; Tatsuhiko Nakamura; Kichizo Yamamoto; Mari Osaki; Hiroshi Hagino
Journal:  Yonago Acta Med       Date:  2014-12-26       Impact factor: 1.641

3.  Asymmetry in CT Scan Measures of Thigh Muscle 2 Months After Hip Fracture: The Baltimore Hip Studies.

Authors:  Ram R Miller; Marty Eastlack; Gregory E Hicks; Dawn E Alley; Michelle D Shardell; Denise L Orwig; Bret H Goodpaster; Peter J Chomentowski; William G Hawkes; Marc C Hochberg; Luigi Ferrucci; Jay Magaziner
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-05-11       Impact factor: 6.053

4.  A new hierarchical classification for prognosis of hip fracture after 2 years' follow-up.

Authors:  T Alarcón; J I Gonzalez-Montalvo; P Gotor; R Madero; A Otero
Journal:  J Nutr Health Aging       Date:  2011-12       Impact factor: 4.075

5.  Asymmetry in CT Scan Measures of Thigh Muscle 2 Months After Hip Fracture: The Baltimore Hip Studies.

Authors:  Ram R Miller; Marty Eastlack; Gregory E Hicks; Dawn E Alley; Michelle D Shardell; Denise L Orwig; Bret H Goodpaster; Peter J Chomentowski; William G Hawkes; Marc C Hochberg; Luigi Ferrucci; Jay Magaziner
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-06       Impact factor: 6.053

6.  Functional outcomes and mortality vary among different types of hip fractures: a function of patient characteristics.

Authors:  Roger Cornwall; Marvin S Gilbert; Kenneth J Koval; Elton Strauss; Albert L Siu
Journal:  Clin Orthop Relat Res       Date:  2004-08       Impact factor: 4.176

7.  Explaining the effect of gender on functional transitions in older persons.

Authors:  Susan E Hardy; Heather G Allore; Zhenchao Guo; Thomas M Gill
Journal:  Gerontology       Date:  2008-01-30       Impact factor: 5.140

8.  Functional recovery after hip fracture in the subacute setting.

Authors:  Sandy B Ganz; Margaret G E Peterson; Pam Williams Russo; Andrew Guccione
Journal:  HSS J       Date:  2007-02

9.  Predictive Model of Gait Recovery at One Month after Hip Fracture from a National Cohort of 25,607 Patients: The Hip Fracture Prognosis (HF-Prognosis) Tool.

Authors:  Cristina González de Villaumbrosia; Pilar Sáez López; Isaac Martín de Diego; Carmen Lancho Martín; Marina Cuesta Santa Teresa; Teresa Alarcón; Cristina Ojeda Thies; Rocío Queipo Matas; Juan Ignacio González-Montalvo
Journal:  Int J Environ Res Public Health       Date:  2021-04-06       Impact factor: 3.390

10.  Clinical and functional outcomes of the PCCP study: a multi-center prospective study in Italy.

Authors:  G Antonini; R Giancola; D Berruti; E Blanchietti; P Pecchia; V Francione; P Greco; T C Russo; L Pietrogrande
Journal:  Strategies Trauma Limb Reconstr       Date:  2013-03-31
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