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Published on: August 29, 2025
Growth monitoring to detect children with cystic fibrosis
Paula van Dommelen1, Floor K Grote, Wilma Oostdijk
1Department of Statistics, TNO Quality of Life, Leiden, The Netherlands. Paula.vanDommelen@tno.nl
Insights
Failure to thrive (FTT) in children may indicate cystic fibrosis (CF) in countries without newborn screening. A combination of low BMI SDS and decreasing BMI SDS can help identify potential CF cases for further testing.
Area of Science:
- Pediatrics
- Genetics
- Medical Diagnostics
Background:
- Cystic fibrosis (CF) often presents with failure to thrive (FTT) in infants and children.
- In regions lacking newborn CF screening, FTT could serve as a clinical indicator.
Purpose of the Study:
- To evaluate the effectiveness of FTT as a screening method for identifying CF in children.
- To assess the diagnostic performance of FTT for detecting CF in the absence of newborn screening programs.
Main Methods:
- Utilized longitudinal growth data (length, weight, BMI SDS) up to 2.5 years for CF patients (n=123) and controls (n=2,151).
- Developed and tested five screening rules based on standardized growth parameters.
- Measured sensitivity, specificity, and positive predictive value (PPV) of the screening rules.
Main Results:
- Body Mass Index (BMI) standardized deviation score (SDS) demonstrated high sensitivity with low false-positive rates.
- An effective screening scenario identified: BMI SDS below -2.5 and a decrease of at least 0.5 SDS.
- This scenario achieved 32% sensitivity, 98.3% specificity, and 0.75 PPV.
Conclusions:
- Children exhibiting FTT, specifically concerning BMI, warrant consideration for cystic fibrosis testing.
- FTT can be a valuable clinical screening tool for CF in populations without established newborn screening protocols.
Background/Aims:
Cystic fibrosis (CF) in infancy and childhood is often associated with failure to thrive (FTT). This would suggest that in countries without a newborn screening program for CF, FTT could be used as a clinical screening tool. The aim of this study is to assess the diagnostic performance of FTT for identifying children with CF.
Methods:
Longitudinal length and weight measurements up to 2.5 years of age were used from CF patients (n = 123) and a reference group (n = 2,151) in The Netherlands. Growth measurements after diagnosis were excluded. We developed five potential screening rules based upon length, weight and body mass index (BMI) standardized by age and gender (SDS). Outcome measures were sensitivity, specificity and positive predictive value (PPV).
Results:
BMI SDS had the highest sensitivity at low false-positive rates. An efficient scenario is a BMI SDS below -2.5 SD in combination with a decrease in BMI SDS of at least 0.5 SD. This scenario had a sensitivity of 32%, a specificity of 98.3% and a PPV of 0.75%.
Conclusion:
In the absence of a newborn screening program, young children with FTT for BMI are candidates to consider testing for CF.
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