Use of Traditional Japanese Herbal Medicine Daikenchuto for the Treatment of Abdominal Distention in Very-Low-Birth-Weight Infants

TL;DR

This study explores the use of Daikenchuto, a traditional Japanese herbal medicine, to reduce abdominal distention in very-low-birth-weight infants.

Contribution

The novel use of Daikenchuto for treating gastrointestinal issues in very-low-birth-weight infants is investigated.

Findings

Abdominal distention decreased from 46% to 4% within a week of DKT treatment.

Gas volume score decreased in 92% of patients within the first week of treatment.

No notable adverse effects were observed with DKT administration.

Abstract

Background: Very-low-birth-weight (VLBW) infants often experience feeding intolerance owing to organ immaturity, and the most frequent sign is the presence of abdominal distention. Daikenchuto (DKT), a traditional Japanese herbal medicine, is used to improve gastrointestinal function, particularly in adults. The aim of this study was to investigate the effectiveness of DKT in reducing abdominal distention and intestinal gas in VLBW infants. Methods: This study involved a retrospective chart review of 24 VLBW infants treated with DKT at Hamamatsu University Hospital between April 2016 and March 2021. The effects of DKT treatment at a dose of 0.3 g/kg/day were evaluated through clinical parameters and abdominal radiography. Results: Before treatment, marked abdominal distention was observed in 46% of the infants, which reduced to 4% within a week of DKT administration. The gas volume score (GVS) decreased in 92% of the patients within the first week of treatment and markedly decreased by ≥20% in 46% of the patients. The effects of improving abdominal distention and decreasing the GVS on radiography persisted for 1–2 weeks after treatment initiation. No clinical parameters affecting a GVS reduction of ≥20% and no notable adverse effects were observed. Conclusions: While the preliminary findings suggest that DKT may help manage abdominal distention in VLBW infants, further studies with placebo-controlled trials, larger sample sizes, use of advanced image processing software, and consideration of additional influencing factors are required to substantiate these results and identify predictors of treatment response.

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