Predictive Accuracy of Chest Radiographs in Diagnosing Tachypneic Children.

OBJECTIVE: To test the predictive accuracy and reporting reproducibility of digital chest radiographs under low-resource conditions. METHODS: One hundred thirty four tachypneic children who presented to two Indian hospitals were enrolled. Based on review of 16 variables recorded in the Emergency Room (ER) by a senior pediatrician, children were given one of the four clinical diagnoses: pneumonia, wheezy disease, mixed and non-respiratory. Every child also had a digital CXR. It was interpreted by ER physician, pediatrician and two independent radiologists. All used the same standardized interpretation system (one or more of: normal, minor patches, major patches, hyperinflation, lobar change, pleural effusion). RESULTS: The 10 % of CXRs showing pleural effusions reliably predicted pneumonia and disease severity. For all other CXR findings, the correlation between CXR interpretation and clinical diagnosis was moderate to poor. Apart from pleural effusions, inter-observer agreements between interpretations made by ER physician, pediatrician and radiologist were also poor (kappa <0.4). CONCLUSIONS: With the exception of pleural effusions, CXR findings, interpreted by a radiologist, had moderate to poor power to predict respiratory diagnosis or disease severity defined by a pediatrician. Value of CXRs was further reduced by poor inter-observer agreement. When investigating tachypneic children under low-resource conditions, CXRs should be used with a clear understanding of their limitations.

Can we distinguish pneumonia from wheezy diseases in tachypnoeic children under low-resource conditions? A prospective observational study in four Indian hospitals.

BACKGROUND: Acute respiratory infections are the commonest cause of mortality and morbidity in children worldwide. A quarter of all deaths occur in India alone. In order to reduce this disease burden, there is a need for better diagnostic criteria, particularly ones allowing early detection of high-risk children. METHODS: We enrolled 516 under 5 year olds, in four Indian hospitals, who met WHO age-dependent tachypnoea criteria for pneumonia at presentation. Patients underwent a protocolised examination assessing 29 items, including history, examination, O2 saturation, plus scores for chest X-ray, auscultation and conscious level. Treatment was determined by the emergency room (ER) physician. All children were reviewed at day 4 by a paediatrician and placed into four diagnostic categories: pneumonia, wheezy disease, mixed and non-respiratory. RESULTS: The majority had wheezy diseases (42.8%). The remainder had pneumonia (35.9%), mixed disease (18.6%) and non-respiratory (2.7%). Best diagnostic predictors for wheezy disease were (auscultation/previous similar episodes) and for pneumonia (auscultation/CXR score). Mortality was 1.6%. Best disease severity predictors were conscious level, weight/age z score and respiratory/pulse rates. INTERPRETATION: Current tachypnoea-based algorithms significantly overdiagnose pneumonia in children and underdiagnose wheezy diseases. Diagnostic accuracy can be improved by various combinations of clinical variables, but the best single diagnostic predictor is auscultation. Simple criteria can also be defined that reliably detect which tachypnoeic children are at high risk of death or deterioration. Management plans based on these protocols could reduce unnecessary antibiotic use, improve the management of wheezy diseases and reduce mortality by earlier identification of high-risk children.