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Background
After enterostomy creation, the distal bowel to the ostomy is excluded from the physiologic passage of stool, nutrient uptake, and growth of this intestinal section. Those infants frequently require long-term parenteral nutrition, continued after enterostomy reversal due to the notable diameter discrepancy of the proximal and distal bowel. Previous studies have shown that mucous fistula refeeding (MFR) results in faster weight gain in infants. The aim of the randomized multicenter open-label controlled MUCous FIstula REfeeding (“MUC-FIRE”) trial is to demonstrate that MFR between enterostomy creation and reversal reduces the time to full enteral feeds after enterostomy closure compared to controls, resulting in shorter hospital stay and less adverse effects of parenteral nutrition.
Methods/Design: A total of 120 infants will be included in the MUC-FIRE trial. Following enterostomy creation, infants will be randomized to either an intervention or a non-intervention group.
In the intervention group, perioperative MFR between enterostomy creation and reversal will be performed. The control group receives standard care without MFR.
The primary efficacy endpoint of the study is the time to full enteral feeds. Secondary endpoints include first postoperative bowel movement after stoma reversal, postoperative weight gain, and days of postoperative parenteral nutrition. In addition adverse events will be analyzed.
Discussion
The MUC-FIRE trial will be the first prospective randomized trial to investigate the benefits and disadvantages of MFR in infants. The results of the trial are expected to provide an evidence-based foundation for guidelines in pediatric surgical centers worldwide.
Trial registration
The trial has been registered at clinicaltrials.gov (number: NCT03469609, date of registration: March 19, 2018; last update: January 20, 2023, https://clinicaltrials.gov/ct2/show/NCT03469609?term=NCT03469609&draw=2&rank=1).
Background
Polygenic scores (PGSs) hold the potential to identify patients who respond favorably to specific psychiatric treatments. However, their biological interpretation remains unclear. In this study, we developed pathway-specific PGSs (PSPGSs) for lithium response and assessed their association with clinical lithium response in patients with bipolar disorder.
Methods
Using sets of genes involved in pathways affected by lithium, we developed 9 PSPGSs and evaluated their associations with lithium response in the International Consortium on Lithium Genetics (ConLi+Gen) (N = 2367), with validation in combined PsyCourse (Pathomechanisms and Signatures in the Longitudinal Course of Psychosis) (N = 105) and BipoLife (N = 102) cohorts. The association between each PSPGS and lithium response—defined both as a continuous ALDA score and a categorical outcome (good vs. poor responses)—was evaluated using regression models, with adjustment for confounders. The cutoff for a significant association was p < .05 after multiple testing correction.
Results
The PGSs for acetylcholine, GABA (gamma-aminobutyric acid), and mitochondria were associated with response to lithium in both categorical and continuous outcomes. However, the PGSs for calcium channel, circadian rhythm, and GSK (glycogen synthase kinase) were associated only with the continuous outcome. Each score explained 0.29% to 1.91% of the variance in the categorical and 0.30% to 1.54% of the variance in the continuous outcomes. A multivariate model combining PSPGSs that showed significant associations in the univariate analysis (combined PSPGS) increased the percentage of variance explained (R2) to 3.71% and 3.18% for the categorical and continuous outcomes, respectively. Associations for PGSs for GABA and circadian rhythm were replicated. Patients with the highest genetic loading (10th decile) for acetylcholine variants were 3.03 times more likely (95% CI, 1.95 to 4.69) to show a good lithium response (categorical outcome) than patients with the lowest genetic loading (1st decile).
Conclusions
PSPGSs achieved predictive performance comparable to the conventional genome-wide PGSs, with the added advantage of biological interpretability using a smaller list of genetic variants.
