The Prevalence and Risk Analysis of Cerebral Palsy and Other Neuro-Psychological Comorbidities in Children with Low Birth Weight in Taiwan: A Nationwide Population-Based Cohort Study.
Hueng-Chuen FanYu-Mei ChangJen-Yu LeeDer-Shiun WangChuan-Mu ChenShu-Wei HuKuo-Liang ChiangFang-Chuan KuoPublished in: Journal of clinical medicine (2024)
Background : This study evaluated early childhood comorbidities of cerebral palsy (CP) in low birth weight (LBW) children and assessed the impact of maternal bio-psychosocial factors on CP risk in preterm infants of varying birth weights (BWs). Methods : Data from 15,181 preterm infants (2009-2013) and 151,810 controls were analyzed using Taiwan's National Health Insurance Research Database. CP prevalence and LBW-associated comorbidities were examined, and odds ratios (ORs) were calculated. Results : This study confirmed increasing prematurity and LBW rates in Taiwan, with LBW infants showing higher CP prevalence. Significant maternal risk factors included age extremes (<20 and >40 years). LBW infants exhibited higher risks for respiratory, circulatory, nervous system, and psycho-developmental comorbidities compared with controls, with the lowest BW having even higher ORs. Maternal factors such as family income, the number of hospital admissions, and length of hospital stay were remarkably correlated with BW and subsequent complications. Each additional gestational week crucially reduced the risk of complications in premature infants. Conclusions : LBW infants are at a higher risk for CP and various comorbidities, with maternal bio-psychosocial factors playing a critical role. Addressing these factors in prenatal care and interventions is essential to improve outcomes for premature infants.
Keyphrases
- low birth weight
- preterm infants
- risk factors
- cerebral palsy
- human milk
- birth weight
- pregnancy outcomes
- health insurance
- preterm birth
- pregnant women
- healthcare
- gestational age
- mental health
- affordable care act
- young adults
- weight gain
- physical activity
- emergency department
- quality improvement
- machine learning
- extracorporeal membrane oxygenation
- artificial intelligence
- body mass index
- adverse drug
- weight loss
- electronic health record
- glycemic control