Context: Uncertainty exists about the benefit of dietary docosahexaenoic acid (DHA) on the neurodevelopment of preterm infants.
Objective: To determine the effect of meeting the estimated DHA requirement of preterm infants on neurodevelopment at 18 months' corrected age.
Design, Setting, And Participants: Randomized, double-blind controlled trial enrolling infants born at less than 33 weeks' gestation from April 2001 to October 2005 at 5 Australian tertiary hospitals, with follow-up to 18 months.
Intervention: High-DHA (approximately 1% total fatty acids) enteral feeds compared with standard DHA (approximately 0.3% total fatty acids) from day 2 to 4 of life until term corrected age.
Main Outcome Measures: Bayley Mental Development Index (MDI) at 18 months' corrected age. A priori subgroup analyses were conducted based on randomization strata (sex and birth weight < 1250 g vs > or = 1250 g).
Results: Of the 657 infants enrolled, 93.5% completed the 18-month follow-up. Bayley MDI scores did not differ between the high- and standard-DHA groups (mean difference, 1.9; 95% confidence interval [CI], -1.0 to 4.7). The MDI among girls fed the high-DHA diet was higher than girls fed standard DHA in unadjusted and adjusted analyses (unadjusted mean difference, 4.7; 95% CI, 0.5-8.8; adjusted mean difference, 4.5; 95% CI, 0.5-8.5). The MDI among boys did not differ between groups. For infants born weighing less than 1250 g, the MDI in the high-DHA group was higher than with standard DHA in the unadjusted comparison (mean difference, 4.7; 95% CI, 0.2-9.2) but did not reach statistical significance following adjustment for gestational age, sex, maternal education, and birth order (mean difference, 3.8; 95% CI, -0.5 to 8.0). The MDI among infants born weighing at least 1250 g did not differ between groups.
Conclusion: A DHA dose of approximately 1% total fatty acids in early life did not increase MDI scores of preterm infants overall born earlier than 33 weeks but did improve the MDI scores of girls.
Trial Registration: anzctr.org.au Identifier: ACTRN12606000327583.
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http://dx.doi.org/10.1001/jama.2008.945 | DOI Listing |
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December 2024
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Postgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Body composition abnormalities are prognostic markers in several types of cancer, including colorectal cancer (CRC). Using our data distribution on body composition assessments and classifications could improve clinical evaluations and support population-specific opportune interventions. This study aimed to evaluate the distribution of body composition from computed tomography and assess the associations with overall survival among patients with CRC.
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