Using growth velocity to predict child mortality.

Area of Science:

• Child Health
• Pediatric Growth Monitoring
• Mortality Prediction

Background:

• Child growth velocity standards are recognized for predicting adverse health outcomes.
• Limited research exists on the predictive capacity of growth velocity for mortality.
• This study addresses the gap in understanding growth velocity's role in predicting child death.

Purpose of the Study:

• To evaluate the predictive ability of various growth velocity measures for child mortality within 3 months.
• To compare the predictive power of growth velocity measures against attained growth measures.
• To identify the most effective growth indicators for early mortality risk assessment.

Main Methods:

• Utilized data from 5657 children under 5 years in the Democratic Republic of Congo.
• Employed generalized estimating equation (GEE) models to assess mortality risk based on weight and length velocity z-scores and mid-upper arm circumference (MUAC) changes.
• Used receiver operating characteristic (ROC) curves to determine the sensitivity and specificity of predictive measures.

Main Results:

• Decreasing growth velocity showed an exponential increase in mortality risk (1.2- to 2.4-fold per unit decrease).
• Length and weight velocity z-scores below -3 were associated with significantly higher mortality risk (11.8- and 7.9-fold, respectively).
• Velocity z-scores demonstrated superior predictive ability (AUCs 0.67-0.69) compared to attained growth z-scores (AUCs 0.52-0.57).
• Weight velocity z-scores were highly predictive in wasted children (AUC 0.87).

Conclusions:

• Repeated growth measurements, specifically velocity z-scores, exhibit superior predictive capabilities for child mortality.
• These findings support the increased use of longitudinal growth assessments for identifying children at high risk of death.
• Implementing repeated growth monitoring can enhance early detection and intervention strategies for vulnerable children.