Hypoxaemia in young Kenyan children with acute lower respiratory infection
Autor: | J. Musia, E M Wafula, J. M. K. Kitonyi, Mark C. Steinhoff, S Wariua, F E Onyango |
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Rok vydání: | 1993 |
Předmět: |
congenital
hereditary and neonatal diseases and abnormalities medicine.medical_specialty Pediatrics education.field_of_study Respiratory rate business.industry Respiratory disease Population General Engineering Respiratory infection General Medicine respiratory system medicine.disease respiratory tract diseases Hypoxemia Pneumonia Clinical research Epidemiology medicine General Earth and Planetary Sciences medicine.symptom business education circulatory and respiratory physiology General Environmental Science |
Zdroj: | BMJ. 306:612-615 |
ISSN: | 1468-5833 0959-8138 |
DOI: | 10.1136/bmj.306.6878.612 |
Popis: | OBJECTIVES--To determine the prevalence, clinical correlates, and outcome of hypoxaemia in acutely ill children with respiratory symptoms. DESIGN--Prospective observational study. SETTING--Paediatric casualty ward of a referral hospital at 1670 m altitude in Nairobi, Kenya. SUBJECTS--256 Infants and children under 3 years of age with symptoms of respiratory infection. MAIN OUTCOME MEASURES--Prevalence of hypoxaemia, defined as arterial oxygen saturation or = 70/min, grunting, and retractions were the best independent clinical signs for the prediction of hypoxaemia. In the older children a respiratory rate of > or = 60/min was the single best clinical predictor of hypoxaemia. The presence of hypoxaemia predicted radiographic pneumonia with a sensitivity of 71% and specificity of 55%. CONCLUSIONS--Over half the children presenting to this referral hospital with respiratory symptoms were hypoxaemic. A group of specific clinical signs seem useful in predicting hypoxaemia. The clear association of hypoxaemia with mortality suggests that the detection and effective treatment of hypoxaemia are important aspects of the clinical management of acute infections of the lower respiratory tract in children in hospital in developing regions. |
Databáze: | OpenAIRE |
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