Document Detail


Sub-grouping patients with non-specific low back pain based on cluster analysis of discriminatory clinical items.
MedLine Citation:
PMID:  23321847     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: To identify potential subgroups amongst patients with non-specific low back pain based on a consensus list of potentially discriminatory examination items.
DESIGN: Exploratory study.
PARTICIPANTS: A convenience sample of 106 patients with non-specific low back pain (43 males, 63 females, mean age 36 years, standard deviation 15.9 years) and 7 physiotherapists.
METHODS: Based on 3 focus groups and a two-round Delphi involving 23 health professionals and a random stratified sample of 150 physiotherapists, respectively, a comprehensive examination list comprising the most "discriminatory" items was compiled. Following reliability analysis, the most reliable clinical items were assessed with a sample of patients with non-specific low back pain. K-means cluster analysis was conducted for 2-, 3- and 4-cluster options to explore for meaningful homogenous subgroups.
RESULTS: The most clinically meaningful cluster was a two-subgroup option, comprising a small group (n = 24) with more severe clinical presentation (i.e. more widespread pain, functional and sleeping problems, other symptoms, increased investigations undertaken, more severe clinical signs, etc.) and a larger less dysfunctional group (n = 80).
CONCLUSION: A number of potentially discriminatory clinical items were identified by health professionals and sub-classified, based on a sample of patients with non-specific low back pain, into two subgroups. However, further work is needed to validate this classification process.
Authors:
Evdokia Billis; Christopher J McCarthy; Chris Roberts; John Gliatis; Maria Papandreou; George Gioftsos; Jacqueline A Oldham
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of rehabilitation medicine     Volume:  45     ISSN:  1651-2081     ISO Abbreviation:  J Rehabil Med     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-01-25     Completed Date:  2013-07-19     Revised Date:  2014-05-30    
Medline Journal Info:
Nlm Unique ID:  101088169     Medline TA:  J Rehabil Med     Country:  Sweden    
Other Details:
Languages:  eng     Pagination:  177-85     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Activities of Daily Living*
Adult
Cluster Analysis
Female
Humans
Low Back Pain / classification*,  diagnosis*
Male
Middle Aged
Severity of Illness Index*
Sleep Disorders*
Young Adult

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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