Earlier anti-TNF therapy reduces the risk of malnutrition associated with alterations in body composition in patients with Crohn's disease

Front Nutr. 2023 Feb 7:10:1114758. doi: 10.3389/fnut.2023.1114758. eCollection 2023.

Abstract

Background: Anti-TNF therapy has been found to exert an influence on long-term nutritional status and even reverse malnutrition in patients with Crohn's disease.

Aims: to observe the effect of anti-TNF therapy on nutritional status in patients with Crohn's disease, investigate the correlation between the timing of anti-TNF therapy and the human body composition and examine independent body composition factors for predicting malnutrition in these patients.

Methods: This was a retrospective study of 115 patients with Crohn's disease. Body composition parameters were assessed by bioelectrical impedance analysis. The nutritional status of the patients was determined by NRS2002 and MNA.

Results: The BMI, BFMI, FFMI, BCMI, SMI, BMC, intracellular water, protein and BMR were significantly lower in patients without any biologic agents (p < 0.05). Negative correlations were found between BMC, intracellular water, extracellular water, protein and BMR and the interval between the first symptom and first dose by Spearman's correlation analysis (r < 0, p < 0.05). Low BMI (OR 0.602, 95% CI 0.434-0.836, p = 0.002), low FFMI (OR 0.678, 95% CI 0.507-0.906, p = 0.009), and low BCMI (OR 0.564, 95% CI 0.367-0.868, p = 0.009) were independent risk factors for malnutrition in Crohn's disease patients. Anti-TNF therapy tended to reduce the malnutrition probability as assessed by Cox regression analysis (OR: 0.217, 95% CI 0.057-0.821, p = 0.024).

Conclusion: Body composition analysis is predictive of malnutrition in patients with Crohn's disease. Early application of anti-TNF therapy significantly affected skeletal muscle mass, fat mass and bone mineral content, supporting their long-term nutritional status and reducing their probability of malnutrition.

Keywords: Crohn’s disease; anti-TNF therapy; bioelectrical impedance analysis; body composition analysis; malnutrition.