Perceived fatigue following pediatric burns

Burns. 2017 Dec;43(8):1792-1801. doi: 10.1016/j.burns.2017.05.007. Epub 2017 Jun 10.

Abstract

Purpose: Fatigue is a common consequence of numerous pediatric health conditions. In adult burn survivors, fatigue was found to be a major problem. The current cross-sectional study is aimed at determining the levels of perceived fatigue in pediatric burn survivors.

Methods: Perceived fatigue was assessed in 23 children and adolescents (15 boys and 8 girls, aged 6-18 years, with burns covering 10-46% of the total body surface area, 1-5 years post burn) using both child self- and parent proxy reports of the Pediatric Quality of Life Inventory Multidimensional Fatigue Scale. Outcomes were compared with reference values of non-burned peers.

Results: At group level, pediatric burn survivors did not report significantly more symptoms of fatigue than their non-burned peers. Individual assessments showed, however, that four children experienced substantial symptoms of fatigue according to the child self-reports, compared to ten children according to the parent proxy reports. Furthermore, parents reported significantly more symptoms of fatigue than the children themselves. Age, gender, extent of burn, length of hospital stay, and number of surgeries could not predict the level of perceived fatigue post-burn.

Conclusions: Our results suggest that fatigue is prevalent in at least part of the pediatric burn population after 1-5 years. However, the fact that parents reported significantly more symptoms of fatigue then the children themselves, hampers evident conclusions. It is essential for clinicians and therapists to consider both perspectives when evaluating pediatric fatigue after burn and to determine who needs special attention, the pediatric burn patient or its parent.

Keywords: Burns; Fatigue; Patient-reported outcomes; Rehabilitation.

MeSH terms

  • Adolescent
  • Age Factors
  • Body Surface Area
  • Burns / complications*
  • Child
  • Cross-Sectional Studies
  • Fatigue / etiology*
  • Female
  • Humans
  • Length of Stay / statistics & numerical data
  • Male
  • Multivariate Analysis
  • Netherlands
  • Quality of Life
  • Risk Factors
  • Sex Factors