Objectives: Diarrhea is one of the most common and deadly conditions affecting children, causing over 525,000 deaths annually, largely in resource-limited settings. Appropriate treatment depends on accurate determination of dehydration status. This study evaluated the accuracy of a new model using clinical and ultrasound measurements for predicting dehydration status in children with acute diarrhea.
Methods: The Dehydration: Assessing Kids Accurately (DHAKA) study was a prospective cohort study of children under 5 years of age with acute diarrhea presenting to the International Centre for Diarrhoeal Disease Research in Dhaka, Bangladesh. Clinical signs and sonographic measurements of the aorta-to-inferior vena cava ratio were recorded. Percent weight change with rehydration was used to classify dehydration severity. Logistic regression was used to create a combined DHAKA-US model based on clinical and sonographic measurements. Area under the curve and calibration slope were used to assess the model's accuracy and compare it to the original DHAKA score model.
Results: A total of 850 children were enrolled, with 736 included in the final analysis. The combined DHAKA-US model showed equivalent discrimination with the original DHAKA score, with an area under the curve of 0.79 for both models for severe dehydration (95% confidence interval, 0.74-0.84), as well as similar classification (48% versus 50% correctly classified) and calibration (calibration slopes of 0.900 versus 0.904 for presence of any dehydration).
Conclusion: Adding sonographic measurements to the DHAKA score had no effect on discrimination, classification, or calibration when compared to the original DHAKA score. Clinical signs alone may be the most important predictors of dehydration status in children with diarrhea in limited resource settings.
Keywords: acute diarrhea; dehydration; resource-limited.
© 2018 by the American Institute of Ultrasound in Medicine.