Trajectories of acute low back pain: latent class growth analysis

Aron Downie, Mark Hancock, Magdalena Rzewuska, Christine Lin, Christopher G. Maher

Research output: Contribution to conferenceAbstractResearch

Abstract

Background: Most people will recover from acute non-specific low back pain, but some do not. There is a paucity of longitudinal evidence describing how many individuals do not recover from acute low back pain. Understanding the course of acute low back pain is important to establish how many patients may need early intervention. This part of our study aimed to identify pain trajectories in patients presenting to primary care for acute low back pain. Methods: Participants were adults consulting general practice with acute low back pain, recruited for a placebo controlled trial of paracetamol. Pain numerical rating scale data (score range 0-10) was collected at baseline, weeks 1, 2, 4 and 12. Latent Class Growth Analysis (LCGA) was used to identify pain trajectories, based on trichotomised pain scores (0 = no pain, 1 – 4 = moderate pain, ≥ 5 = high pain). Results: In total, 1,505 participants who provided at least four pain scores (i.e. at four out of the five collection points) were analyzed. Six distinct clusters were identified including : ‘delayed pain recovery’(n = 529), ‘incomplete pain recovery’ (n = 378), ‘early pain recovery’ (n = 371), ’fluctuating recurrent pain’ (n = 115), ‘persistent high pain’(n = 83) and ‘fluctuating pain with recovery’ (n = 29). Conclusions: Overall, 38% of primary care attendees with acute low back pain show early tendency for pain persistence, recurrence or partial recovery. Describing baseline characteristics associated with the trajectories and conducting a long-term follow-up will help to identify patients in need of early intervention.

Conference

ConferenceBrazil International Back Pain Forum XIII : primary care research on back pain
CityCampos do Jordão, Brazil
Period30/09/143/10/14

Fingerprint

Low Back Pain
Pain
Growth
Primary Health Care
Acetaminophen
General Practice

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Downie, A., Hancock, M., Rzewuska, M., Lin, C., & Maher, C. G. (2014). Trajectories of acute low back pain: latent class growth analysis. 90-90. Abstract from Brazil International Back Pain Forum XIII : primary care research on back pain, Campos do Jordão, Brazil, .
Downie, Aron ; Hancock, Mark ; Rzewuska, Magdalena ; Lin, Christine ; Maher, Christopher G. / Trajectories of acute low back pain : latent class growth analysis. Abstract from Brazil International Back Pain Forum XIII : primary care research on back pain, Campos do Jordão, Brazil, .1 p.
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title = "Trajectories of acute low back pain: latent class growth analysis",
abstract = "Background: Most people will recover from acute non-specific low back pain, but some do not. There is a paucity of longitudinal evidence describing how many individuals do not recover from acute low back pain. Understanding the course of acute low back pain is important to establish how many patients may need early intervention. This part of our study aimed to identify pain trajectories in patients presenting to primary care for acute low back pain. Methods: Participants were adults consulting general practice with acute low back pain, recruited for a placebo controlled trial of paracetamol. Pain numerical rating scale data (score range 0-10) was collected at baseline, weeks 1, 2, 4 and 12. Latent Class Growth Analysis (LCGA) was used to identify pain trajectories, based on trichotomised pain scores (0 = no pain, 1 – 4 = moderate pain, ≥ 5 = high pain). Results: In total, 1,505 participants who provided at least four pain scores (i.e. at four out of the five collection points) were analyzed. Six distinct clusters were identified including : ‘delayed pain recovery’(n = 529), ‘incomplete pain recovery’ (n = 378), ‘early pain recovery’ (n = 371), ’fluctuating recurrent pain’ (n = 115), ‘persistent high pain’(n = 83) and ‘fluctuating pain with recovery’ (n = 29). Conclusions: Overall, 38{\%} of primary care attendees with acute low back pain show early tendency for pain persistence, recurrence or partial recovery. Describing baseline characteristics associated with the trajectories and conducting a long-term follow-up will help to identify patients in need of early intervention.",
author = "Aron Downie and Mark Hancock and Magdalena Rzewuska and Christine Lin and Maher, {Christopher G.}",
year = "2014",
language = "English",
pages = "90--90",
note = "Brazil International Back Pain Forum XIII : primary care research on back pain ; Conference date: 30-09-2014 Through 03-10-2014",

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Downie, A, Hancock, M, Rzewuska, M, Lin, C & Maher, CG 2014, 'Trajectories of acute low back pain: latent class growth analysis' Brazil International Back Pain Forum XIII : primary care research on back pain, Campos do Jordão, Brazil, 30/09/14 - 3/10/14, pp. 90-90.

Trajectories of acute low back pain : latent class growth analysis. / Downie, Aron; Hancock, Mark; Rzewuska, Magdalena; Lin, Christine; Maher, Christopher G.

2014. 90-90 Abstract from Brazil International Back Pain Forum XIII : primary care research on back pain, Campos do Jordão, Brazil, .

Research output: Contribution to conferenceAbstractResearch

TY - CONF

T1 - Trajectories of acute low back pain

T2 - latent class growth analysis

AU - Downie, Aron

AU - Hancock, Mark

AU - Rzewuska, Magdalena

AU - Lin, Christine

AU - Maher, Christopher G.

PY - 2014

Y1 - 2014

N2 - Background: Most people will recover from acute non-specific low back pain, but some do not. There is a paucity of longitudinal evidence describing how many individuals do not recover from acute low back pain. Understanding the course of acute low back pain is important to establish how many patients may need early intervention. This part of our study aimed to identify pain trajectories in patients presenting to primary care for acute low back pain. Methods: Participants were adults consulting general practice with acute low back pain, recruited for a placebo controlled trial of paracetamol. Pain numerical rating scale data (score range 0-10) was collected at baseline, weeks 1, 2, 4 and 12. Latent Class Growth Analysis (LCGA) was used to identify pain trajectories, based on trichotomised pain scores (0 = no pain, 1 – 4 = moderate pain, ≥ 5 = high pain). Results: In total, 1,505 participants who provided at least four pain scores (i.e. at four out of the five collection points) were analyzed. Six distinct clusters were identified including : ‘delayed pain recovery’(n = 529), ‘incomplete pain recovery’ (n = 378), ‘early pain recovery’ (n = 371), ’fluctuating recurrent pain’ (n = 115), ‘persistent high pain’(n = 83) and ‘fluctuating pain with recovery’ (n = 29). Conclusions: Overall, 38% of primary care attendees with acute low back pain show early tendency for pain persistence, recurrence or partial recovery. Describing baseline characteristics associated with the trajectories and conducting a long-term follow-up will help to identify patients in need of early intervention.

AB - Background: Most people will recover from acute non-specific low back pain, but some do not. There is a paucity of longitudinal evidence describing how many individuals do not recover from acute low back pain. Understanding the course of acute low back pain is important to establish how many patients may need early intervention. This part of our study aimed to identify pain trajectories in patients presenting to primary care for acute low back pain. Methods: Participants were adults consulting general practice with acute low back pain, recruited for a placebo controlled trial of paracetamol. Pain numerical rating scale data (score range 0-10) was collected at baseline, weeks 1, 2, 4 and 12. Latent Class Growth Analysis (LCGA) was used to identify pain trajectories, based on trichotomised pain scores (0 = no pain, 1 – 4 = moderate pain, ≥ 5 = high pain). Results: In total, 1,505 participants who provided at least four pain scores (i.e. at four out of the five collection points) were analyzed. Six distinct clusters were identified including : ‘delayed pain recovery’(n = 529), ‘incomplete pain recovery’ (n = 378), ‘early pain recovery’ (n = 371), ’fluctuating recurrent pain’ (n = 115), ‘persistent high pain’(n = 83) and ‘fluctuating pain with recovery’ (n = 29). Conclusions: Overall, 38% of primary care attendees with acute low back pain show early tendency for pain persistence, recurrence or partial recovery. Describing baseline characteristics associated with the trajectories and conducting a long-term follow-up will help to identify patients in need of early intervention.

M3 - Abstract

SP - 90

EP - 90

ER -

Downie A, Hancock M, Rzewuska M, Lin C, Maher CG. Trajectories of acute low back pain: latent class growth analysis. 2014. Abstract from Brazil International Back Pain Forum XIII : primary care research on back pain, Campos do Jordão, Brazil, .