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A computed tomography scoring system to assess pulmonary disease among premature infants
Márcia Cristina Bastos Boechat1, Rosane Reis de Mello, Kátia Silveira da Silva
1Instituto Fernandes Figueira, FiocruzFundação Oswaldo Cruz, Flamengo, Rio de Janeiro, Brazil. marciabboechat@gmail.com
Insights
A new scoring system using high-resolution computed tomography (HRCT) effectively identifies premature infants at higher risk for respiratory morbidity in their first year. This reproducible tool aids in comparing outcomes and understanding risk factors.
Area of Science:
- Pediatric Radiology
- Neonatal Respiratory Medicine
- Medical Imaging Analysis
Background:
- High-resolution computed tomography (HRCT) is crucial for detailed pulmonary evaluation in neonates.
- Premature infants are susceptible to respiratory morbidity during their first year of life.
- Predictive tools are needed to identify high-risk infants for targeted interventions.
Purpose of the Study:
- To develop and validate a scoring system based on HRCT abnormalities in premature infants.
- To assess the predictive validity of this score for respiratory morbidity within the first year of life.
Main Methods:
- A prospective cohort study was conducted involving 86 premature newborns.
- A scoring system was developed based on HRCT findings, quantifying lung involvement.
- Two radiologists applied the score, and interobserver agreement was assessed.
- The score's predictive accuracy for respiratory morbidity was calculated.
Main Results:
- 85% of infants showed HRCT abnormalities; 56.2% experienced respiratory morbidity.
- The scoring system demonstrated good interobserver agreement (ICC = 0.86).
- The score showed a high specificity (90.0%) and positive predictive value (81.8%) for predicting respiratory morbidity.
Conclusions:
- The developed HRCT scoring system is reproducible and easy to implement.
- It effectively identifies premature infants with a higher likelihood of developing respiratory morbidity.
- This tool facilitates standardized HRCT comparisons and risk factor analysis in premature infants.
Context And Objective:
High-resolution computed tomography (HRCT) is considered to be the best method for detailed pulmonary evaluation. The aim here was to describe a scoring system based on abnormalities identified on HRCT among premature infants, and measure the predictive validity of the score in relation to respiratory morbidity during the first year of life.
Design And Setting:
Prospective cohort study in Instituto Fernandes Figueira, Fundação Oswaldo Cruz.
Methods:
Scoring system based on HRCT abnormalities among premature newborns. The affected lung area was quantified according to the number of compromised lobes, in addition to bilateral pulmonary involvement. Two radiologists applied the score to 86 HRCT scans. Intraobserver and interobserver agreement were analyzed. The score properties were calculated in relation to predictions of respiratory morbidity during the first year of life.
Results:
Most of the patients (85%) presented abnormalities on HRCT, and among these, 56.2% presented respiratory morbidity during the first year of life. Scores ranged from zero to 12. There was good agreement between observers (intraclass correlation coefficient, ICC = 0.86, confidence interval, CI: 0.64-0.83). The predictive scores were as follows: positive predictive value 81.8%, negative predictive value 56.3%, sensitivity 39.1%, and specificity 90.0%.
Conclusion:
The scoring system is reproducible, easy to apply and allows HRCT comparisons among premature infants, by identifying patients with greater likelihood of respiratory morbidity during the first year of life. Its use will enable HRCT comparisons among premature infants with different risk factors for respiratory morbidity.
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