Hypoxaemia in Mozambican children <5 years of age admitted to hospital with clinical severe pneumonia: clinical features and performance of predictor models

Trop Med Int Health. 2016 Sep;21(9):1147-56. doi: 10.1111/tmi.12738. Epub 2016 Jul 11.

Abstract

Objective: To determine the prevalence of hypoxaemia among under-five children admitted to hospital with clinical severe pneumonia and to assess the performance to diagnose hypoxaemia of models based on clinical signs.

Methods: We conducted a hospital-based survey in a district hospital from Southern Mozambique.

Results: A total of 825 children were recruited after obtaining an informed consent. The prevalence of hypoxaemia on admission was 27.9%, and 19.8% of these children died (OR compared with non-hypoxaemic children 3.22, 95% CI 1.98-5.21, P < 0.001). The model with larger area under the ROC curve (AUC-ROC) to predict hypoxaemia included cyanosis or thoracoabdominal breathing or respiratory rate ≥70 breaths per minute. None of the models performed well when tested in different case scenarios of oxygen availability through mathematical modelling, with over 50% of hypoxaemic children not receiving oxygen even in favourable case scenarios.

Conclusions: Clinical signs alone or in combination are not suitable to diagnose hypoxaemia. The use of pulse oximeters should be strongly encouraged.

Keywords: Mozambique; child; clinical decision-making; enfant; hipoxemia; hypoxaemia; hypoxémie; infant; lactante; neumonía; niño, preescolar; nourrisson; pneumonia; pneumonie; preschool; prise de décision clinique; préscolaire; toma de decisiones clínica.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Area Under Curve
  • Child, Preschool
  • Cyanosis* / etiology
  • Female
  • Hospitalization*
  • Hospitals
  • Humans
  • Hypoxia / complications
  • Hypoxia / diagnosis*
  • Infant
  • Male
  • Models, Biological
  • Odds Ratio
  • Oxygen / metabolism*
  • Patient Admission
  • Pneumonia / complications
  • Pneumonia / metabolism
  • Pneumonia / pathology*
  • Prevalence
  • ROC Curve
  • Respiration*
  • Severity of Illness Index*
  • Surveys and Questionnaires

Substances

  • Oxygen