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Published on: March 4, 2018
Clinical Factors Related to Abnormal General Movements Trajectories: Development of a Multicriteria Index
Karoline Tury de Mendonça1, Ana Flávia de Souza Pascoal, Fernanda de Cordoba Lanza
1Hospital das Clínicas/EBSERH, Belo Horizonte, Minas Gerais, Brazil (Ms Mendonça); Graduate Program in Rehabilitation Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil (Mss Mendonça and Pascoal and Drs Lanza and Camargos); Graduate Program in Health, Society and Environment, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina, Minas Gerais, Brazil (Drs Viñolas Prat and Morais).
Insights
This study developed a clinical index to identify abnormal general movements (GMs) in preterm infants. This tool helps predict poor developmental trajectories in the neonatal intensive care unit (NICU).
Area of Science:
- Neonatal Medicine
- Developmental Pediatrics
- Clinical Prediction Modeling
Background:
- Abnormal general movements (GMs) in preterm infants are indicators of neurological dysfunction.
- Early identification of abnormal GMs trajectories is crucial for timely intervention.
- Predictive tools are needed to assess neurodevelopmental risks in the neonatal intensive care unit (NICU).
Purpose of the Study:
- To develop a multicriteria index incorporating clinical factors to predict abnormal general movements (GMs) trajectories in preterm infants.
- To assess the association between specific clinical variables and abnormal GMs in the NICU setting.
Main Methods:
- A longitudinal study design was employed to track GMs in preterm infants.
- A multicriteria index was created using multi-attribute utility theory.
- Key clinical factors included: intraventricular hemorrhage, respiratory support, gestational age, patent ductus arteriosus, and infection.
Main Results:
- The study evaluated 52 preterm newborns.
- The developed multicriteria index demonstrated a correlation with abnormal GMs trajectories.
- The index explained 26.5% of the variance observed in GMs trajectories.
Conclusions:
- A multicriteria index combining clinical factors can identify some abnormal GMs trajectories in preterm infants.
- This predictive tool aids clinicians in identifying infants at higher risk for poor developmental outcomes before NICU discharge.
Purpose:
To create a multicriteria index with clinical factors associated with abnormal general movements (GMs) trajectories during a stay in the neonatal intensive care unit.
Methods:
A longitudinal study assessed abnormal GMs trajectories in preterm infants in the neonatal intensive care unit. The multicriteria index included clinical factors such as intraventricular hemorrhage, respiratory support, gestational age, patent ductus arteriosus, and infection based on multi-attribute utility theory.
Results:
A total of 52 preterm newborns, 57.7% male, were evaluated. The multicriteria index correlated with abnormal GMs trajectories and explained 26.5% of the variance in these trajectories.
Conclusion:
The developed multicriteria index, with the inclusion of combined clinical factors, allowed the identification of part of the abnormal trajectories of GMs in preterm infants. The multicriteria analysis can help clinicians to identify infants who have a greater chance of poor developmental trajectories before hospital discharge.
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