Risk factors and simple scoring system for predicting postoperative nutritional status of Hirschsprung’s disease
2024

Predicting Nutritional Status After Surgery for Hirschsprung’s Disease

Sample size: 341 publication Evidence: high

Author Information

Author(s): Die Xiaohong, Feng Wei, Song Aohua, Liu Wei, Wang Yi, Guo Zhenhua, He Dawei

Primary Institution: Children’s Hospital of Chongqing Medical University

Hypothesis

This study aimed to analyze the risk factors of postoperative undernutrition for patients with Hirschsprung’s disease and establish a scoring system for predicting postoperative undernutrition.

Conclusion

The study identified key risk factors affecting postoperative undernutrition and successfully developed a scoring system to predict nutritional status, which could aid clinical practice.

Supporting Evidence

  • 29.9% of patients experienced postoperative undernutrition.
  • Non-breast feeding and preoperative undernutrition were significant risk factors.
  • The scoring system showed an AUC of 0.887 for predicting undernutrition.
  • Patients with a score above 12 had a 31.015 times higher chance of undernutrition.
  • Postoperative complications within 30 days were linked to higher rates of undernutrition.
  • Long-segment Hirschsprung’s disease was associated with increased risk of undernutrition.
  • Caregivers who were not parents were linked to higher rates of undernutrition.
  • The study emphasizes the importance of early intervention for at-risk patients.

Takeaway

After surgery for Hirschsprung’s disease, many kids have trouble getting enough nutrition. This study found out why and created a simple way to predict who might need extra help.

Methodology

A retrospective review of 341 patients with Hirschsprung’s disease who underwent laparoscopic-assisted pull-through surgery, using logistic regression analysis to identify risk factors.

Potential Biases

Potential bias due to the exclusion of patients who underwent staged procedures and the limited sample size from a single center.

Limitations

The study's retrospective design may have led to non-standardized data collection, and it only included patients from a specific region.

Participant Demographics

The study included 341 patients, predominantly male (81.23%), with a mean age of surgery between 1 to 12 months.

Statistical Information

Confidence Interval

95% CI: 0.839–0.934

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3389/fnut.2024.1441104

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