Predictors of oedema among children hospitalized with severe acute malnutrition in Jimma University Hospital, Ethiopia: a cross sectional study

BMC Pediatr. 2013 Dec 6:13:204. doi: 10.1186/1471-2431-13-204.

Abstract

Background: Severe acute malnutrition has two main clinical manifestations, i.e., oedematous and non-oedematous. However, factors associated with oedema are not well established.

Methods: Children 0.5-14 years of age with SAM (MUAC < 11.0 cm or weight-for-height < 70 % of median and/or nutritional oedema) admitted to the nutrition unit were included. Information on infections before and during admission was collected together with anthropometry. Predictors of oedema was analysed separately for younger (< 60 months) and older children (≥ 60 months).

Results: 351 children were recruited (median age: 36 months (interquartile range 24 to 60); 43.3% females). Oedema was detected in 61.1%. The prevalence of oedema increased with age, peaked at 37-59 months (75%) and declined thereafter. Infection was more common in the younger group (33% vs. 8.9%, p < 0.001) and in this group children with oedema had less infections (25.2% vs. 45.1%, p = 0.001). In the older group the prevalence of infections was not different between oedematous and non-oedematous children (5.5% v. 14.3%, p = 0.17). In the younger group oedema was less common in children with TB (OR = 0.20, 95% CI: 0.06, 0.70) or diarrhea (OR = 0.40, 95% CI: 0.21, 0.73).

Conclusions: The proportion of oedema in SAM peaked at three to five years of age and a considerable proportion was above 5 years. Furthermore, the prevalence of infection seemed to be lower among children with oedema. Further studies are needed to better understand the role of infection-immunity interaction.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acute Disease
  • Adolescent
  • Age Factors
  • Anthropometry
  • Child
  • Child, Preschool
  • Comorbidity
  • Cross-Sectional Studies
  • Edema / epidemiology*
  • Edema / etiology
  • Ethiopia / epidemiology
  • Female
  • Hospitals, University
  • Humans
  • Infant
  • Infections / epidemiology
  • Male
  • Malnutrition / complications*
  • Prevalence
  • Seasons
  • Selection Bias