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A prospective observational study on trajectories and prognostic factors of mid back pain

BACKGROUND: Although mid back pain (MBP) is a common condition that causes significant disability, it has received little attention in research and knowledge about trajectories and prognosis of MBP is limited. The purpose of this study was to identify trajectories of MBP and baseline risk factors fo...

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Autores principales: Knecht, Christina, Hartnack, Sonja, Sick, Beate, Riner, Fabienne, Schweinhardt, Petra, Wirth, Brigitte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430120/
https://www.ncbi.nlm.nih.gov/pubmed/32807140
http://dx.doi.org/10.1186/s12891-020-03534-5
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author Knecht, Christina
Hartnack, Sonja
Sick, Beate
Riner, Fabienne
Schweinhardt, Petra
Wirth, Brigitte
author_facet Knecht, Christina
Hartnack, Sonja
Sick, Beate
Riner, Fabienne
Schweinhardt, Petra
Wirth, Brigitte
author_sort Knecht, Christina
collection PubMed
description BACKGROUND: Although mid back pain (MBP) is a common condition that causes significant disability, it has received little attention in research and knowledge about trajectories and prognosis of MBP is limited. The purpose of this study was to identify trajectories of MBP and baseline risk factors for an unfavorable outcome in MBP patients undergoing chiropractic treatment. METHODS: This prospective-observational study analyzes outcome data of 90 adult MBP patients (mean age = 37.0 ± 14.6 years; 49 females) during one year (at baseline, after 1 week, 1 month, 3, 6 and 12 months) after start of chiropractic treatment. Patients completed an 11-point (0 to 10) numeric pain rating scale (NRS) at baseline and one week, one month, three, six and twelve months after treatment start and the Patient’s Global Impression of Change (PGIC) questionnaire at all time points except baseline. To determine trajectories, clustering with the package kml (software R), a variant of k-means clustering adapted for longitudinal data, was performed using the NRS-data. The identified NRS-clusters and PGIC data after three months were tested for association with baseline variables using univariable logistic regression analyses, conditional inference trees and random forest plots. RESULTS: Two distinct NRS-clusters indicating a favourable (rapid improvement within one month from moderate pain to persistent minor pain or recovery after one year, 80% of patients) and an unfavourable trajectory (persistent moderate to severe pain, 20% of patients) were identified. Chronic (> 3 months) pain duration at baseline significantly predicted that a patient was less likely to follow a favourable trajectory [OR = 0.16, 95% CI = 0.05–0.50, p = 0.002] and to report subjective improvement after twelve months [OR = 0.19, 95% CI = 0.07–0.51, p = 0.001], which was confirmed by the conditional inference tree and the random forest analyses. CONCLUSIONS: This prospective exploratory study identified two distinct MBP trajectories, representing a favourable and an unfavourable outcome over the course of one year after chiropractic treatment. Pain chronicity was the factor that influenced outcome measures using NRS or PGIC.
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spelling pubmed-74301202020-08-18 A prospective observational study on trajectories and prognostic factors of mid back pain Knecht, Christina Hartnack, Sonja Sick, Beate Riner, Fabienne Schweinhardt, Petra Wirth, Brigitte BMC Musculoskelet Disord Research Article BACKGROUND: Although mid back pain (MBP) is a common condition that causes significant disability, it has received little attention in research and knowledge about trajectories and prognosis of MBP is limited. The purpose of this study was to identify trajectories of MBP and baseline risk factors for an unfavorable outcome in MBP patients undergoing chiropractic treatment. METHODS: This prospective-observational study analyzes outcome data of 90 adult MBP patients (mean age = 37.0 ± 14.6 years; 49 females) during one year (at baseline, after 1 week, 1 month, 3, 6 and 12 months) after start of chiropractic treatment. Patients completed an 11-point (0 to 10) numeric pain rating scale (NRS) at baseline and one week, one month, three, six and twelve months after treatment start and the Patient’s Global Impression of Change (PGIC) questionnaire at all time points except baseline. To determine trajectories, clustering with the package kml (software R), a variant of k-means clustering adapted for longitudinal data, was performed using the NRS-data. The identified NRS-clusters and PGIC data after three months were tested for association with baseline variables using univariable logistic regression analyses, conditional inference trees and random forest plots. RESULTS: Two distinct NRS-clusters indicating a favourable (rapid improvement within one month from moderate pain to persistent minor pain or recovery after one year, 80% of patients) and an unfavourable trajectory (persistent moderate to severe pain, 20% of patients) were identified. Chronic (> 3 months) pain duration at baseline significantly predicted that a patient was less likely to follow a favourable trajectory [OR = 0.16, 95% CI = 0.05–0.50, p = 0.002] and to report subjective improvement after twelve months [OR = 0.19, 95% CI = 0.07–0.51, p = 0.001], which was confirmed by the conditional inference tree and the random forest analyses. CONCLUSIONS: This prospective exploratory study identified two distinct MBP trajectories, representing a favourable and an unfavourable outcome over the course of one year after chiropractic treatment. Pain chronicity was the factor that influenced outcome measures using NRS or PGIC. BioMed Central 2020-08-17 /pmc/articles/PMC7430120/ /pubmed/32807140 http://dx.doi.org/10.1186/s12891-020-03534-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Knecht, Christina
Hartnack, Sonja
Sick, Beate
Riner, Fabienne
Schweinhardt, Petra
Wirth, Brigitte
A prospective observational study on trajectories and prognostic factors of mid back pain
title A prospective observational study on trajectories and prognostic factors of mid back pain
title_full A prospective observational study on trajectories and prognostic factors of mid back pain
title_fullStr A prospective observational study on trajectories and prognostic factors of mid back pain
title_full_unstemmed A prospective observational study on trajectories and prognostic factors of mid back pain
title_short A prospective observational study on trajectories and prognostic factors of mid back pain
title_sort prospective observational study on trajectories and prognostic factors of mid back pain
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430120/
https://www.ncbi.nlm.nih.gov/pubmed/32807140
http://dx.doi.org/10.1186/s12891-020-03534-5
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