Predictors of itch and pain in the 12 months following burn injury: results from the Burns Registry of Australia and New Zealand (BRANZ) Long-Term Outcomes Project

Lincoln M Tracy; Dale W Edgar; Rebecca Schrale; Heather Cleland; Belinda J Gabbe; the BRANZ Adult Long-Term Outcomes Pilot Project participating sites and working party

doi:10.1093/burnst/tkz004

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Predictors of itch and pain in the 12 months following burn injury: results from the Burns Registry of Australia and New Zealand (BRANZ) Long-Term Outcomes Project

更新时间：2022-06-09

- Predictors of itch and pain in the 12 months following burn injury: results from the Burns Registry of Australia and New Zealand (BRANZ) Long-Term Outcomes Project
- Burns & Trauma Vol. 8, Issue 1, (2020)
- 作者机构：
  
  1. School of Public Health and Preventive Medicine
  2. State Adult Burn Unit
  3. Burn Injury Research Node
  4. Tasmanian Burns Unit
  5. Victorian Adult Burns Service
  6. Health Data Research UK
- 作者简介：
- 基金信息：
- DOI：10.1093/burnst/tkz004
  CLC：
- Published：2020，
  
  Published Online：27 February 2020，
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Lincoln M Tracy, Dale W Edgar, Rebecca Schrale, Heather Cleland, Belinda J Gabbe, the BRANZ Adult Long-Term Outcomes Pilot Project participating sites and working party, Predictors of itch and pain in the 12 months following burn injury: results from the Burns Registry of Australia and New Zealand (BRANZ) Long-Term Outcomes Project, Burns & Trauma, Volume 8, 2020, tkz004, https://doi.org/10.1093/burnst/tkz004
DOI：

Lincoln M Tracy, Dale W Edgar, Rebecca Schrale, Heather Cleland, Belinda J Gabbe, the BRANZ Adult Long-Term Outcomes Pilot Project participating sites and working party, Predictors of itch and pain in the 12 months following burn injury: results from the Burns Registry of Australia and New Zealand (BRANZ) Long-Term Outcomes Project, Burns & Trauma, Volume 8, 2020, tkz004, https://doi.org/10.1093/burnst/tkz004 DOI：

摘要

Abstract

BackgroundItch and pain are common complaints of patients with burn injuries. This study aimed to describe the prevalence and predictors of itch and moderate to severe pain in the first 12 months following a burn injury

and determine the association between itch

moderate to severe pain

work-related outcomes

and health-related quality of life following a burn injury.MethodsBurn patients aged 18 years and older were recruited from five Australian specialist burn units. Patients completed the 36-item Short Form Health Survey Version 2 (SF-36 V2)

the Sickness Impact Profile (SIP) work scale

and a specially developed questionnaire relating to itch at 1

and 12 months post-injury. Moderate to severe pain was defined as a score less than 40 on the bodily pain domain of the SF-36 V2. Multivariate mixed-effects regression models were used to identify patient and burn injury predictors of itch and moderate to severe pain.ResultsThree hundred and twenty-eight patients were included. The prevalence of itch decreased from 50% at 1 month to 27% at 12 months. Similarly

the prevalence of moderate to severe pain decreased from 23% at 1 month to 13% at 12 months. Compared to patients aged 18-34

the adjusted odds of experiencing any itch were 59% (95% CI: 0.20

0.82) and 55% (95% CI: 0.22

0.91) lower for patients aged between 35 and 49 and ≥ 50 years

respectively. Compared to patients aged 18-34

the adjusted odds of experiencing moderate to severe pain were 3.12 (95% CI: 1.35

7.20) and 3.42 (95% CI: 1.47

7.93) times higher for patients aged 35-49 and ≥ 50 years

respectively.ConclusionsLess than 15% of patients reported moderate or severe pain at 12 months

while approximately one-quarter of the patients reported itch at the same period. The presence of moderate to severe pain was associated with a greater negative impact on health-related quality of life and work outcomes compared to itch. Further research is needed to improve our ability to identify patients at higher risk of persistent itch and pain who would benefit from targeted review and intervention studies.

关键词

Keywords

Burn registryOutcomesCohort studyPainItchAustraliaNew ZealandPredictor

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