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Predictive utility of the Bayley Infant Neurodevelopmental Screener (BINS) risk status classifications: clinical
1Division of Developmental and Behavioral Pediatrics, Southern Illinois University School of Medicine, Springfield 62794-9658, USA. gaylward@pav-nt1.siumed.edu
Insights
The Bayley Infant Neurodevelopmental Screener (BINS) accurately predicts infant development. Early high-risk BINS classification indicates a greater chance of later developmental issues, supporting its clinical use.
Area of Science:
- Neurodevelopmental screening
- Pediatric assessment
- Infant health
Background:
- The Bayley Infant Neurodevelopmental Screener (BINS) is increasingly used.
- Predictive validity and clinical implications of BINS risk classifications are not well-established.
- High-risk infants require reliable developmental screening tools.
Purpose of the Study:
- To evaluate the predictive validity of BINS risk status classifications.
- To determine the clinical implications of BINS classifications in high-risk infants.
- To assess the BINS's utility as a screening tool.
Main Methods:
- Longitudinal follow-up study of high-risk infants.
- BINS administered at 6, 12, and 24 months.
- McCarthy Scales administered at 36 months for comparison.
Main Results:
- BINS risk status was predictive of 36-month function in all 18 comparisons.
- Significant odds ratios (2.76–54.70) in 15 of 18 logistic models.
- Early high-risk BINS classification correlated with increased probability of later developmental morbidity.
Conclusions:
- The BINS demonstrates good concurrent and predictive validity.
- BINS risk classifications are clinically relevant for high-risk infants.
- The BINS is a valuable alternative for high-volume clinical screening.
Abstract:
Predictive validity and clinical implications of the increasingly popular Bayley Infant Neurodevelopmental Screener (BINS) risk status classifications have not been previously reported. In this longitudinal follow-up study, the BINS was administered to high-risk infants at 6, 12, and 24 months of age, and the McCarthy Scales at 3 years of age. Ninety-two children were evaluated at 6 and 36 months, 105 at 12 and 36 months, and 118 at 24 and 36 months; 190, 125, and 140 infants were included in the comparisons at 6 to 12, 6 to 24, and 12 to 24 months. BINS risk status was classified as low, moderate, or high; or as a binary variable, LOWRISK/HIGHRISK. The three BINS items groups were moderately correlated. Consistency was most variable in the moderate-risk group. BINS risk was predictive of 36-month function in 18 out of 18 comparisons. Odds ratios, ranging from 2.76 to 54.70, were significant in 15 out of 18 logistic models. An early high-risk classification was associated with increased probability of later developmental morbidity. The BINS offers an alternative to detailed assessment in high-volume clinical applications and has good concurrent and predictive validity.