Children with severe malnutrition: can those at highest risk of death be identified with the WHO protocol?

Kathryn Maitland1, James A Berkley, Mohammed Shebbe

  • 1Centre for Geographic Medicine Research (Coast), Kenya Medical Research Institute, Kilifi, Kenya. kmaitland@kilifi.kemri-wellcome.org

Plos Medicine
|December 30, 2006
PubMed

Insights

High in-hospital mortality from severe malnutrition can be reduced by identifying at-risk children using specific clinical signs. Early identification of danger signs improves patient outcomes and resource allocation in pediatric care.

Area of Science:

  • Pediatric critical care
  • Infectious disease epidemiology
  • Global child health

Background:

  • Severe malnutrition poses a significant mortality risk, with African hospitals reporting fatality rates up to 20%, far exceeding the recommended <5%.
  • Current management challenges in severe malnutrition are often linked to inadequate training and flawed case management protocols.
  • Effective resource allocation necessitates identifying high-risk pediatric patients for timely and targeted interventions.

Purpose of the Study:

  • To retrospectively analyze risk factors for early (<48 hours) and late in-hospital mortality in children with severe malnutrition.
  • To identify specific admission clinical features that can reliably distinguish high-risk patients according to World Health Organization (WHO) guidelines.

Main Methods:

  • Retrospective analysis of 920 children admitted with severe malnutrition.
  • Evaluation of WHO-recommended danger signs (lethargy, hypothermia, hypoglycemia) for predicting early mortality.
  • Assessment of additional bedside clinical features (bradycardia, capillary refill time, pulse volume, consciousness level) and their association with early fatality.

Main Results:

  • Overall in-hospital mortality was 19% (176/920), with 33% of deaths occurring within 48 hours.
  • WHO danger signs showed 52% sensitivity and 84% specificity for early mortality prediction.
  • The presence of two or more of four specific bedside features (bradycardia, prolonged capillary refill, weak pulse, impaired consciousness) significantly increased early fatality risk (OR=9.6; P<0.0001); children lacking these and other specific signs had a 7% fatality rate.

Conclusions:

  • Specific clinical features at admission can effectively identify children with severe malnutrition at high risk of early death.
  • Formal assessment and integration of these features into triage protocols can optimize resource allocation and improve patient outcomes.
  • Further clinical research is needed to develop and validate appropriate supportive treatments for high-risk pediatric malnutrition cases.
Abstract

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