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Dilemmas initiating enteral feedings in high risk infants: how can they be resolved?
Jon E Tyson1, Kathleen A Kennedy, Joseph F Lucke
1The University of Texas Medical School at Houston, Houston, TX 77030, USA. jon.e.tyson@uth.tmc.edu
Insights
Initiating enteral feedings for high-risk infants has limited evidence. Bayesian methods may help analyze data from large trials to determine optimal feeding strategies for extremely low birth weight (ELBW) infants.
Area of Science:
- Neonatalogy
- Clinical Nutrition
- Biostatistics
Background:
- Clinicians face challenges in determining optimal timing, trophic feeding use, and advancement rates for enteral nutrition in high-risk infants.
- Existing systematic reviews show limited short-term benefits for early, trophic, or rapid advancement feeding strategies.
Purpose of the Study:
- To review evidence on initiating enteral feedings in high-risk infants.
- To propose a multicenter clinical trial design to address critical questions regarding feeding regimens.
- To explore the use of Bayesian methods to overcome sample size limitations in neonatal trials.
Main Methods:
- Systematic reviews of randomized trials were conducted to evaluate early initiation, trophic feeding, and rapid advancement of enteral feeds.
- A proposed multicenter clinical trial design focuses on survival without neurodevelopmental impairment as the primary outcome for extremely low birth weight (ELBW) infants.
- Bayesian statistical methods are introduced as a solution to sample size constraints in neonatal research.
Main Results:
- Limited short-term benefits were identified for early, trophic, or rapid advancement feeding strategies.
- Current trial designs and sample sizes are insufficient to determine the safety and effectiveness of different feeding regimens.
- Bayesian analyses offer a feasible approach to assess the probability of benefit for important clinical outcomes within achievable sample sizes.
Conclusions:
- Optimal enteral feeding strategies for high-risk infants remain unclear due to evidence limitations.
- A well-designed multicenter trial is needed, incorporating Bayesian methods to address sample size challenges.
- Bayesian statistics can provide clinically useful insights into feeding regimen effectiveness for ELBW infants.
Abstract:
In initiating enteral feedings for high-risk infants, clinicians struggle with three fundamental questions: When should enteral feedings be initiated? Should a period of trophic (minimal) feeding be provided? When feedings are advanced, how rapidly should the volume be increased? We present the findings of our systematic reviews of randomized trials addressing each of these questions. These reviews identified various limited short-term benefits of initiating feedings early, providing a period of trophic feedings, and increasing the volume at a relatively rapid rate when feedings are advanced. However, the safety and effectiveness of these approaches are unclear due to limitations in trial design, an inadequate sample size, and the problems inherent in evaluating the effects of initial feeding regimen on necrotizing enterocolitis (NEC) and neurodevelopmental outcome. We provide a detailed description of how a multicenter clinical trial might best be designed to adequately address these questions. In our view, it would be necessary to assess the effect of three feeding regimens on survival without neurodevelopmental impairment (primary outcome) among extremely low birth weight (ELBW) infants. The most daunting obstacle to resolving our current feeding dilemmas is the sample size required to assess all important outcomes. Even in the largest existing research network that achieves a high follow-up rate (the NICHD Neonatal Research Network), it is not feasible to meet conventional (frequentist) sample size requirements. Fortunately, this problem may be addressed using Bayesian methods. (For this reason and because Bayesian methods are likely to be increasingly used in neonatal trials, we provide a brief introduction to these methods.) We show that, with the sample size achievable in the Neonatal Network, Bayesian analyses are likely to provide clear and clinically useful assessments of the probability of benefit for all important clinical outcomes resulting from initial feeding regimens for ELBW infants.
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