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Predicting outcomes of acute low back pain patients in emergency department: A prospective observational cohort study

Low back pain (LBP) is a common complaint among patients presenting to emergency department (ED) in Singapore. The STarT Back Screening Tool (SBT) was recently developed and validated for triage of LBP patients in primary care settings. This study aimed to investigate whether the SBT could provide p...

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Autores principales: Tan, Celia Ia Choo, Liaw, Jennifer Suet Ching, Jiang, Bo, Pothiawala, Sohil Equbal, Li, Huihua, Leong, Mark Kwok Fai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6039631/
https://www.ncbi.nlm.nih.gov/pubmed/29952991
http://dx.doi.org/10.1097/MD.0000000000011247
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author Tan, Celia Ia Choo
Liaw, Jennifer Suet Ching
Jiang, Bo
Pothiawala, Sohil Equbal
Li, Huihua
Leong, Mark Kwok Fai
author_facet Tan, Celia Ia Choo
Liaw, Jennifer Suet Ching
Jiang, Bo
Pothiawala, Sohil Equbal
Li, Huihua
Leong, Mark Kwok Fai
author_sort Tan, Celia Ia Choo
collection PubMed
description Low back pain (LBP) is a common complaint among patients presenting to emergency department (ED) in Singapore. The STarT Back Screening Tool (SBT) was recently developed and validated for triage of LBP patients in primary care settings. This study aimed to investigate whether the SBT could provide prognostic information for long-term outcomes of acute LBP patients visiting the ED, who might benefit from appropriate and timely management at an earlier stage. Data were collected in a prospective observational cohort study from 177 patients who consulted emergency physicians for acute LBP and completed 6-month follow-up. Patients were administered the SBT and assessed at baseline. Follow-up assessments were conducted at 6 weeks and 6 months. A multiple linear regression model incorporating SBT total score, age, employment status, LBP history, and 6-week pain score was constructed to predict 6-month pain score. In the model, SBT total score and 6-week pain score were significantly associated with 6-month pain score (P < .05) with respective coefficients of 0.125 and 0.500. The model explained 40.1% of the variance for 6-month pain score. This study demonstrated that the multiple linear regression model showed predictive performance in determining long-term outcomes for acute LBP patients presenting to the ED.
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spelling pubmed-60396312018-07-16 Predicting outcomes of acute low back pain patients in emergency department: A prospective observational cohort study Tan, Celia Ia Choo Liaw, Jennifer Suet Ching Jiang, Bo Pothiawala, Sohil Equbal Li, Huihua Leong, Mark Kwok Fai Medicine (Baltimore) Research Article Low back pain (LBP) is a common complaint among patients presenting to emergency department (ED) in Singapore. The STarT Back Screening Tool (SBT) was recently developed and validated for triage of LBP patients in primary care settings. This study aimed to investigate whether the SBT could provide prognostic information for long-term outcomes of acute LBP patients visiting the ED, who might benefit from appropriate and timely management at an earlier stage. Data were collected in a prospective observational cohort study from 177 patients who consulted emergency physicians for acute LBP and completed 6-month follow-up. Patients were administered the SBT and assessed at baseline. Follow-up assessments were conducted at 6 weeks and 6 months. A multiple linear regression model incorporating SBT total score, age, employment status, LBP history, and 6-week pain score was constructed to predict 6-month pain score. In the model, SBT total score and 6-week pain score were significantly associated with 6-month pain score (P < .05) with respective coefficients of 0.125 and 0.500. The model explained 40.1% of the variance for 6-month pain score. This study demonstrated that the multiple linear regression model showed predictive performance in determining long-term outcomes for acute LBP patients presenting to the ED. Wolters Kluwer Health 2018-06-29 /pmc/articles/PMC6039631/ /pubmed/29952991 http://dx.doi.org/10.1097/MD.0000000000011247 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. http://creativecommons.org/licenses/by-nc-sa/4.0
spellingShingle Research Article
Tan, Celia Ia Choo
Liaw, Jennifer Suet Ching
Jiang, Bo
Pothiawala, Sohil Equbal
Li, Huihua
Leong, Mark Kwok Fai
Predicting outcomes of acute low back pain patients in emergency department: A prospective observational cohort study
title Predicting outcomes of acute low back pain patients in emergency department: A prospective observational cohort study
title_full Predicting outcomes of acute low back pain patients in emergency department: A prospective observational cohort study
title_fullStr Predicting outcomes of acute low back pain patients in emergency department: A prospective observational cohort study
title_full_unstemmed Predicting outcomes of acute low back pain patients in emergency department: A prospective observational cohort study
title_short Predicting outcomes of acute low back pain patients in emergency department: A prospective observational cohort study
title_sort predicting outcomes of acute low back pain patients in emergency department: a prospective observational cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6039631/
https://www.ncbi.nlm.nih.gov/pubmed/29952991
http://dx.doi.org/10.1097/MD.0000000000011247
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